LLM Jobs in United Kingdom.
All active LLM roles based in United Kingdom.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku continues a long-term trajectory of supporting summer internship roles within the organization, to provide applicants with experience of our enthusiasm, expertise and company culture.
The Advanced Development, AI @ Roku (Roku’s internal AI productivity suite), Content, and Edge AI team within the Engineering organization has been granted 4 summer internships in 2026. These internships are only available to postgraduate students who are currently studying for a PhD or have recently successfully completed a PhD.
About the role
The purpose of the internship is to involve each student in the work of the AI @ Roku, Content, and Edge AI team. Each student will be assigned a supervisor among the senior members of the team. This supervision aims to ensure that the intern finishes their contract with a clear view of what permanent employment within the AI @ Roku, Content, and Edge AI team would be like.
All the intern projects will be clearly defined at the outset, easy to get started and challenging to complete, and relevant to the AI @ Roku, Content, and Edge AI team’s Q3 and Q4 2026 goals.
Project outlines:
- Multi-modal AI: Building new experiences for TVs with Vision-Language Models, focusing on multi-modal understanding and natural language interaction.
- Developing multimedia content generation techniques
- Content understanding and analysis for episodic and cinematic videos
- Deploying and optimizing AI algorithms to the edge
- Using AI to improve image and video quality
What you'll be doing
- Define, agree, and track the meaningful measures (KPIs) of success in the project.
- Collaborate effectively with other members of the project team to achieve goals.
- Contribute meaningfully to the implementation and delivery of the project.
- Identify and communicate key learnings within and across project teams.
- Actively partner with experts in the project field in Cambridge, and internationally.
- Conduct feasibility studies to determine if 'new-to-the-world' ideas are viable for long-term integration into the Roku OS.
- Present findings and prototypes to the broader engineering and product leadership to influence Roku’s long-term innovation roadmap.
We’re excited if you have
- PhD in STEM discipline (current or recent)
- Strong problem-solving and analytical skills
- Excellent communication and presentation skills
- Proficient in data visualization and interpretation
- High-level proficiency in Python
- Background in mathematics, statistics, and CS
- Ability to design and implement machine learning models
- Familiarity with machine learning frameworks (PyTorch, Tensorflow)
- Understanding of machine learning and computer vision algorithms and techniques
- Experience with image processing pipelines, embedding spaces or modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, LangFuse) is a plus.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Join a team dedicated to delivering customer-focused features that elevate user experiences on a global scale. Our team specializes in creating engaging content such as wallpapers, screensavers, trivia, featured experiences, AI project for content generations, and more. Guided by an ambitious product roadmap, we aim to accelerate growth and scale by introducing innovative features to millions of users worldwide.
We foster a culture of ownership where developers and engineers are self-motivated to tackle challenges and ship impactful solutions. Collaboration is key—engineers work closely with cross-functional teams, including UI design, product management, and business leadership, to make things happen. If you’re passionate about reimagining the world of streaming media in a dynamic, collaborative environment, this is the team for you.
About the Role
Our products are known for their seamless integration and intuitive design that delights users right out of the box. These qualities are the result of meticulous engineering and a commitment to excellence.
As part of the engineering team, you’ll develop and manage features for Screensavers, Static & Dynamic Wallpapers, Trivia, Featured Experience and AI initiatives. You will be working on A.I initiatives to develop new features on platforms to create user enhancing experiments.
What You’ll Be Doing
- Designing and developing features for new Experiences on the Roku platform.
- Creating PoC to elaborate on ideas and work in startup mindset to break fast and deliver quickly.
- Collaborating with UI/UX design and backend team to create and implement new experiences.
- Adapting PoCs for productionising the solution
- Investigating, diagnosing, and resolving issues to maintain commercially viable solutions.
We Are Excited If You Have
- At least 10yrs experience in a Software Engineering environment
- Substantial Project based on using AI/ML and LLM technologies
- Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies.
- Experience working in an embedded environment
- Consumer electronics experience in media/content or ad product development is a plus.
- Experience in productionizing solutions, including content management, UI development, cloud development, and cloud backend integration.
- Knowledge of Core OS concepts like memory management and multi-threading.
- Experience in API design, with an understanding of considerations and trade-offs.
- Strong communication skills, as this role involves frequent collaboration across teams.
- Bachelor’s or Master’s degree in Computer Science or a related field
#LI-NM1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Infrastructure and Efficiency
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems.
What You’ll Be Doing
Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones.
Key Responsibilities
AI-First Automation & Intelligent Tooling
- Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence).
- Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures).
- Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.
Dev Productivity & Enterprise Tooling (Global Scale)
- Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools.
- Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /BitBake/Yocto preferred) to support multi-site engineering environments.
- Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams.
- Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution.
Workflow Automation (Cross-Functional, Cross-Geo)
- Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows).
- Replace manual coordination with durable automation and integrations that work reliably across regions/time zones.
Security, Cost, Performance, and Reliability (Distributed Systems)
- Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems.
- Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor.
- Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking.
- This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams.
- Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution.
- Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems.
- Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
- Establish yourself as the person others bring their hardest problems to
We’re Excited If You Have
- Bachelor’s in Computer Science or Computer Engineering, or equivalent experience
- Prior experience at Staff, Principal, or Architect level
- Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
- Strong, hands-on knowledge of:
-
- Git (workflows, branching strategies, release management)
- Jenkins (CI/CD pipeline design, scaling, reliability)
- Docker containers (reproducible build/test execution)
Build systems ( itBake/Yocto preferred)
- Jira (workflow design/automation, cross-team visibility)
- Test management systems (e.g., TestRail or equivalent)
- Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
- Strong systems thinking across security, reliability, performance, and cost tradeoffs.
- Excellent written communication (architecture docs, decision records, operating procedures).
- Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots).
- Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops).
- Extensive experience with software development on embedded Linux, multi-process architectures and IPC mechanisms
- Experience working in large cross functional teams and ability to influence teams that don't report to you
- Ability to see the big picture while focused on short-term objectives and deliverables
- Ability to multi-task and drive parallel projects and distributed teams with tight deadlines
#LI-NM1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Infrastructure / Efficiency / Productivity
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems.
What You’ll Be Doing
Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones.
Key Responsibilities
AI-First Automation & Intelligent Tooling
- Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence).
- Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures).
- Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.
Dev Productivity & Enterprise Tooling (Global Scale)
- Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools.
- Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /BitBake/Yocto preferred) to support multi-site engineering environments.
- Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams.
- Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution.
Workflow Automation (Cross-Functional, Cross-Geo)
- Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows).
- Replace manual coordination with durable automation and integrations that work reliably across regions/time zones.
Security, Cost, Performance, and Reliability (Distributed Systems)
- Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems.
- Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor.
- Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking.
- This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams.
- Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution.
- Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems.
- Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
- Establish yourself as the person others bring their hardest problems to
We’re Excited If You Have
- Bachelor’s in Computer Science or Computer Engineering, or equivalent experience
- Prior experience at Staff, Principal, or Architect level
- Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
- Strong, hands-on knowledge of:
-
- Git (workflows, branching strategies, release management)
- Jenkins (CI/CD pipeline design, scaling, reliability)
- Docker containers (reproducible build/test execution)
Build systems ( itBake/Yocto preferred)
- Jira (workflow design/automation, cross-team visibility)
- Test management systems (e.g., TestRail or equivalent)
- Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
- Strong systems thinking across security, reliability, performance, and cost tradeoffs.
- Excellent written communication (architecture docs, decision records, operating procedures).
- Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots).
- Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops).
- Extensive experience with software development on embedded Linux, multi-process architectures and IPC mechanisms
- Experience working in large cross functional teams and ability to influence teams that don't report to you
- Ability to see the big picture while focused on short-term objectives and deliverables
- Ability to multi-task and drive parallel projects and distributed teams with tight deadlines
#LI-NM1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all Stripe offerings and with all company segments - from startups to the largest enterprises.
What you’ll do
Stripe is seeking an SEO to lead the SEO strategy for Stripe Docs, in close partnership with the Global SEO Lead. This individual will play a key role in growing the SEO channel by developing and executing efforts to increase Stripe’s revenue and visibility. The scope includes on-site optimization, content development, international SEO, and technical SEO.
While the ideal candidate is well-versed in all SEO disciplines, sensibilities around user-experience, design, engineering, copywriting, data, product management, and marketing are also required. In this role, you will work closely with cross-functional partners, including Growth Marketing, Product Marketing, Content Marketing, Engineering, Developer Relations, Design, Product, and Analytics.
Responsibilities
- On-site optimization: enhance the website’s content and structure to improve search engine rankings and user experience.
- International SEO: develop strategies to optimize the website for multiple countries and languages, driving global visibility and engagement.
- Technical SEO: address backend improvements to ensure the website is compatible and optimized for search engine technologies and LLM agents.
- Roadmap development: develop strategic plans outlining key SEO initiatives and timelines to achieve short-term and long-term objectives.
- Performance reporting: analyze and report on KPIs to track progress and identify opportunities for further enhancement.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 4+ years of experience crafting and executing SEO strategies.
- Motivated self-starter with high attention to detail, strong follow-through, and the ability to problem-solve independently and carry out tasks with autonomy.
- Tech savvy and cognizant of developments in technology/fintech.
- Deep expertise in researching and interpreting search queries for developer audiences.
- Basic experience with HTML, CSS, and other web programming acumens.
- Deep expertise in all disciplines of SEO, including technical, on-site, and off-site SEO.
- Ability to develop and prioritize content roadmaps to build net new pages that drive incremental business performance.
- Data-driven, and results-oriented leader that’s proficient in B2B and SEO performance data.
- Proven track record of building scalable systems to successfully execute SEO plans.
- Deep expertise in IA and site architecture.
- Ability to develop exhaustive creative briefs for cross-functional execution.
- Excellent communication, presentation, and soft skills (written and verbal) to effectively evangelize and educate on SEO internally.
- Strong cross-functional collaborator with the ability to build relationships and simplify complex topics for partners. Must possess intermediate sensibilities in user-experience, design, engineering, copywriting, conversion rate optimization, data, product management, and marketing
- Ability to develop and prioritize roadmaps that successfully deliver on business objectives.
- Excellent international SEO skills.
- Strong experience creating performance reporting and measuring success.
- Ability to work extensively in Google Drive apps (Docs, Sheets, Slides), Excel, Looker, Tableau, Google Analytics and other reporting software.
- Experience managing stakeholders, with the ability to handle multiple work streams and requests from a variety of stakeholders, balancing each of them to deliver on the true north objectives of the channel and business.
- Strong experience using a variety of SEO tools, including Google Search Console, Google Keyword Planner, SEMRush, and ScreamingFrog.
- Proficient in professional English literacy.
Preferred qualifications
- Experience crafting SEO strategies to acquire technical users (i.e. engineers) and/or partnering closely with Developer Marketing or Developer Relations is highly preferred.
- In-house, enterprise SEO experience is highly preferred.
- Intermediate software engineering background.
- Experience in the following industries: payments, fintech, billing, accounting, tax, startups, enterprise business, and platforms.
- Experience optimizing YouTube video content for search.
- Multilingual literacy is advantageous in any of: German, French, Japanese, Italian, and/or Spanish.
- Experience with localization / translation.
- B2B experience.
- SQL experience and ability to gather data.
- Experience with telemetry and web analytics.
- Bachelor's degree or 4 years relevant experience.
Ready to apply?
Apply to Stripe
Staff Software Engineer - AI Tools
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About the Role
We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.
What You’ll Be Doing
- Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
- Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
- Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
- Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
- Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
- Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
- Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
- Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
- Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.
Qualifications
- You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
- You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
- You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
- You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
- You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
- You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
- You write thorough documentation and favor well-tested, maintainable code.
Nice to Have
- You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
- You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
- You understand console platform requirements and certification workflows.
- You are familiar with security, privacy, and responsible-AI practices in production systems.
Please note; this position can be completed remotely from The UK
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ready to apply?
Apply to PlayStation Global
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
- Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.
- Certifications: Bar admission in any jurisdiction strongly preferred.
- Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.
- Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
- Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.
Why Join the HFC?
- Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making.
- Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field.
- Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Staff Mixed Methods Researcher
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
About the Role
The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.
You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.
You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them.
What You Will Own
Deep Qualitative Research Execution
- Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
- Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
- Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
- You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design.
- Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
- Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks - selecting the analytical lens that fits the question, not the one that's familiar.
- You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions.
AI-Enhanced Qualitative Workflows
- Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
- Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
- Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
- Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
- Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.
Strategic Insight Generation & Storytelling
- Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
- Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
- Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
- Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
- Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.
Research Quality, Standards & Community
- Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
- Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
- Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
- Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.
What We Are Looking For
Essential Experience
- 8+ years of UX research experience with a clear depth specialisation in qualitative methods - ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
- Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
- Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
- Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
- Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
- A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
- Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.
Skills & Mindset
- World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
- Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
- AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
- Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
- Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
- Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
- Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward.
- Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive.
Nice to Have
- MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
- Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful.
- Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
- Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
- Experience building or managing qualitative research panels or longitudinal participant communities.
- Published work or conference presentations in a qualitative research or HCI venue.
Why This Role at Superbet
Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.
- Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
- A team that values qualitative rigour and won't ask you to reduce everything to a number.
- Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
- A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
- Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Staff Mixed Methods Researcher
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
About the Role
The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.
You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.
You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them.
What You Will Own
Deep Qualitative Research Execution
- Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
- Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
- Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
- You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design.
- Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
- Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks - selecting the analytical lens that fits the question, not the one that's familiar.
- You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions.
AI-Enhanced Qualitative Workflows
- Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
- Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
- Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
- Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
- Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.
Strategic Insight Generation & Storytelling
- Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
- Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
- Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
- Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
- Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.
Research Quality, Standards & Community
- Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
- Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
- Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
- Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.
What We Are Looking For
Essential Experience
- 8+ years of UX research experience with a clear depth specialisation in qualitative methods - ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
- Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
- Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
- Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
- Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
- A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
- Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.
Skills & Mindset
- World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
- Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
- AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
- Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
- Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
- Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
- Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward.
- Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive.
Nice to Have
- MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
- Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful.
- Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
- Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
- Experience building or managing qualitative research panels or longitudinal participant communities.
- Published work or conference presentations in a qualitative research or HCI venue.
Why This Role at Superbet
Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.
- Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
- A team that values qualitative rigour and won't ask you to reduce everything to a number.
- Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
- A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
- Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Job Title: Senior Python Engineer
Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team
About Inizio Medical
Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.
About the Role
We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.
You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain.
You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments. This is not a position with current line management responsibilities.
Key Responsibilities
- Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
- Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
- Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
- Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
- Own production concerns including logging, monitoring, error handling, and performance optimisation.
- Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
- Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
- Write clear technical documentation for engineers and non-technical audiences.
- Contribute to a collaborative, pragmatic, and high-quality engineering culture.
About You
- Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
- Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
- Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
- Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
- Experience working with CI/CD pipelines, version control, and modern development workflows.
- Strong debugging and problem-solving skills in distributed or data-heavy systems.
- Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
- Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.
Nice to Have (Not Required)
- Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
- Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
- Contributions to open-source projects or shared internal libraries.
- Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).
What We Offer
- Competitive salary and benefits package, including private medical insurance and company pension.
- Flexible, remote-first working environment with occasional travel.
- The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
- A friendly, low-ego culture that values engineering quality, learning, and collaboration.
Ready to Apply?
If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.
Ready to apply?
Apply to Inizio
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
.
See yourself at Twilio
Join the team as Twilio’s next Security Engineer, Security Automation on Twilio’s Information Security Team.
About the job
This position is needed to assist Twilio’s Information Security Team operate more efficiently by improving and automating our critical security workflows.
As a Software Engineer, Security Automation on this team, you will participate in all phases of the software development life cycle which includes requirements gathering with security teams, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. You will own, operate and maintain automated workflows that support various security programs including but not limited to cloud security, product security, Governance, Risk & Compliance (GRC) and enterprise security, employing Agile methodologies to continuously deliver value to our partners.
Responsibilities
In this role, you’ll:
- Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches.
- Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale.
- Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy.
- Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively.
- Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability.
- Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs).
- Support on-call operations for tools, pipelines, and AI models owned by the team.
- Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems.
- Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
- Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale
- Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows
- Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security processes and build intelligent solutions
- Solid understanding of software security principles, secure coding practices, and security automation
- Experience with data orchestration frameworks (e.g., Airflow, Dagster, Prefect) to manage and scale automation pipelines
- Familiarity with infrastructure-as-code (Terraform), CI/CD systems (BuildKite or similar), and container orchestration platforms (Kubernetes, Docker)
- Strong problem-solving, communication, and collaboration skills, with the ability to iterate quickly on feedback and work across security and engineering teams
Desired:
- Experience with Security Orchestration, Automation, and Response (SOAR) technologies and practices, with a focus on scaling automated incident response
- Proven ability to design and implement security automation frameworks that enable rapid delivery of reliable, reusable, and scalable automated solutions
- Strong interest in or hands-on experience with building and applying AI/ML models (including LLMs) to automate complex workflows in cybersecurity, compliance, or infrastructure operations
- Ability to bridge AI/automation capabilities with security strategy, driving adoption of next-generation solutions across cloud and enterprise environments
- Passion for continuous innovation in leveraging orchestration, automation, and AI to solve real-world security challenges
Location
This role will be remote, and based in the UK.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Ready to apply?
Apply to Twilio
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
.
See yourself at Twilio
Join the team as Twilio’s next Security Engineer, Security Automation on Twilio’s Information Security Team.
About the job
This position is needed to assist Twilio’s Information Security Team operate more efficiently by improving and automating our critical security workflows.
As a Software Engineer, Security Automation on this team, you will participate in all phases of the software development life cycle which includes requirements gathering with security teams, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. You will own, operate and maintain automated workflows that support various security programs including but not limited to cloud security, product security, Governance, Risk & Compliance (GRC) and enterprise security, employing Agile methodologies to continuously deliver value to our partners.
Responsibilities
In this role, you’ll:
- Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches.
- Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale.
- Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy.
- Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively.
- Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability.
- Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs).
- Support on-call operations for tools, pipelines, and AI models owned by the team.
- Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems.
- Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
- Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale
- Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows
- Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security processes and build intelligent solutions
- Solid understanding of software security principles, secure coding practices, and security automation
- Experience with data orchestration frameworks (e.g., Airflow, Dagster, Prefect) to manage and scale automation pipelines
- Familiarity with infrastructure-as-code (Terraform), CI/CD systems (BuildKite or similar), and container orchestration platforms (Kubernetes, Docker)
- Strong problem-solving, communication, and collaboration skills, with the ability to iterate quickly on feedback and work across security and engineering teams
Desired:
- Experience with Security Orchestration, Automation, and Response (SOAR) technologies and practices, with a focus on scaling automated incident response
- Proven ability to design and implement security automation frameworks that enable rapid delivery of reliable, reusable, and scalable automated solutions
- Strong interest in or hands-on experience with building and applying AI/ML models (including LLMs) to automate complex workflows in cybersecurity, compliance, or infrastructure operations
- Ability to bridge AI/automation capabilities with security strategy, driving adoption of next-generation solutions across cloud and enterprise environments
- Passion for continuous innovation in leveraging orchestration, automation, and AI to solve real-world security challenges
Location
This role will be remote, and based in Ireland.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Ready to apply?
Apply to Twilio
Senior Software Engineer (Data Platform, C++)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.
Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.
Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.
At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.
What’s inside the platform
You’ll work on a system that includes (and ties together):
- Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
- Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
- Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
- Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
- Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).
What you’ll do
We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.
In this role, you will:
- Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
- Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
- Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
- Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.
Example projects
- Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
- Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
- Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
- Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
- Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.
Tech stack
- Core: modern C++ (C++20, async + multithreaded primitives)
- Services & tooling: Go and Python (microservices, utilities, integration tests)
What we expect
- 5+ years of software engineering experience.
- Strong C++ skills (you’ll write core code).
- Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
- Experience developing and/or operating high-load, distributed services.
- Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
- Solid CS fundamentals: algorithms, data structures, concurrency basics.
Nice to have
- Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
- Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
- Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior ML Engineer (Token Factory)
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.
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Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.
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Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.
- Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware
We expect you to have:
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A profound understanding of theoretical foundations of machine learning and reinforcement learning.
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Deep expertise in modern deep learning for language processing and generation
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Experience with training large models on multiple computational nodes
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Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
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Strong software engineering skills (we mostly use Python)
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Deep experience with modern deep learning frameworks (we use JAX)
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Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
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Strong communication and leadership abilities
Nice to have:
-
Previous experience working with language models or other similar NLP technologies.
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Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization
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A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
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Strong engineering skills, including experience in developing large distributed systems or high-load web services.
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Open-source projects that showcase your engineering prowess
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Excellent command of the English language, alongside superior writing, articulation, and communication skills.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Technical Product Manager - Serverless AI
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are looking for a Senior Technical Product Manager to join the Serverless AI product team. Together you will divide ownership across the product surface — but individually, you will own your areas with full autonomy. This is not a role where you write requirements and hand them off. You will be the person who understands container runtimes, GPU scheduling, cold start optimization, and inference serving deeply enough to make correct technical trade-offs — and also the person who talks to customers, shapes the CLI experience, defines pricing, and drives adoption.
We are building the next generation of AI cloud — infrastructure designed from the ground up for GPU-intensive workloads, not retrofitted from legacy cloud. This is a lean, high-impact team where every person shapes the product directly. You need to be the kind of PM who amplifies engineering output by making the right calls on what to build and what to skip.
What success looks like in 12 months:
- Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
- Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
- Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
- Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
- At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.
1. Product Ownership
- Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
- Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
- Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.
- Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
- Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
- Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
- Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.
- Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
- Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
- Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
- Define and iterate on pricing, packaging, and tier strategy for Serverless AI.
- Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
- Partner with marketing on developer-focused campaigns, webinars, and conference presence.
- Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.
Non-negotiables — you must have hands-on experience with:
- You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
- You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
- You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
- You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
- You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
- You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.
- Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
- Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
- Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
- Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
- Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.
- Experience at a serverless or GPU cloud company.
- Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
- Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
- Prior experience building a product from early stage to scale in a fast-growing market.
- Background in systems engineering, distributed systems, or site reliability engineering.
- You are more comfortable in a terminal than in a slide deck.
- You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
- You are energized by building at pace — small team, fast-evolving product, big opportunity.
- You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
- You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Software Engineer (Token Factory)
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:
- investigating how test-time guided search can be used to build more powerful agents;
- dramatically scaling task data collection to power reinforcement learning for SWE agents;
- maximizing efficiency of LLM training on agentic trajectories.
One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.
This role will require expertise in distributed systems to build large-scale LLM training platform.
Your responsibilities will include:
- Designing and developing LLM training platform.
- Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
- Improving job scheduling strategies to minimize resource fragmentation.
We expect you to have:
- 5+ years of professional software development experience.
- Strong software engineering skills (we mostly use Python and Go).
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- Experience with developing web services.
- A commitment to maintaining extreme rigor in all job-related activities.
Nice to have:
- Previous experience working with language models or other similar NLP technologies.
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
AI Researcher (Early Talent)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.
We are looking for Early talents to support research in:
- Reinforcement learning for agents and reasoning models
- Building reinforcement learning environments
- Efficient model distillation and evaluation
Your responsibilities will include:
- Assist in designing and running experiments to train LLMs and speculators for them
- Help analyze experimental results and document findings
- Write and maintain code for data mining, processing, and model evaluation
- Collaborate with the team to explore new methods in the selected research direction
- Participate in technical discussions and discuss future steps of research
- Advanced methods for efficient speculative decoding
- Inference optimization techniques
We expect you to have:
- Strong knowledge of computer science and machine learning fundamentals
- Experience with Python and familiarity with deep learning frameworks
- Ability to write clean, efficient code
- Strong problem-solving skills and a willingness to learn quickly
- Good communication skills in English
- Permitted to work in the job’s location
Nice to have:
- Previous experience with NLP/reinforcement learning/AI agents projects
- Familiarity with current LLM concepts
- Enrollment in or completion of a degree in Computer Science, AI, or a related field
- Contributions to open-source projects
What we offer
- Competitive salary and comprehensive benefits package
- Mentorship from experienced AI, ML, and cloud infrastructure professionals
- Hands-on experience with real customer workloads and production systems
- Remote work flexibility and a collaborative, supportive team environment
- Opportunity to be considered for a full-time role after the Early Talent Program
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Tech Recruiter (ML,LLM)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
You will play a key role in scaling our AI and R&D teams by building deep, high-quality talent pipelines and partnering closely with our engineering leadership.
Work directly with engineering and research managers to understand role requirements in detail and shape effective hiring strategies.
Monitor global trends in LLM research, AI infrastructure, inference efficiency, model deployment, and GPU availability. Identify the strongest companies and labs for targeted sourcing.
- 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
- Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
- Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
- Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
- Excellent communication, stakeholder management, and analytical skills.
- Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Product Designer, Token Factory
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is a next-generation platform for LLM inference and deployment. It gives companies and developers access to dozens of state-of-the-art open-source models (LLMs, Vision, Embeddings, Image Generation) with enterprise-grade guarantees, including private endpoints, zero-retention data flow, transparent pricing, and easy scaling without GPU ops overhead.
Token Factory is part of Nebius, a company building next-generation cloud infrastructure for the global AI economy, helping teams solve real-world problems and scale AI without massive infrastructure costs or large in-house ML teams.
We are looking for a strong Product Designer who will help turn complex AI infrastructure into a clear, controllable, and thoughtfully designed product for a professional audience. In this role, you’ll work on one of the most technically advanced AI products on the market, immerse yourself in modern LLM and AI infrastructure operating at production scale, and have real influence on UX and product decisions across core user scenarios.
You’re welcome to work in our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.
Your responsibilities will include:
- Designing clear, scalable interfaces for core end-to-end AI workflows: model selection and comparison, deployment and inference, inference observability and analysis, fine-tuning, dataset management, batch inference, and agent configuration.
- Own the end-to-end design of services and features within the Nebius Token Factory, from discovery to delivery.
- Being ready to write high-quality interface copy — clear, precise text that helps users navigate complex scenarios and make informed decisions.
- Developing a deep understanding of how AI systems work under the hood, translating complex technical processes (fine-tuning, data pipelines, agent workflows) into clear and manageable user interfaces.
- Collaborating with product managers to formulate hypotheses, validate them with data and user feedback, and improve key product scenarios.
- Using modern AI tools as part of the design process across research, ideation, and prototyping stages (Figma Make, Cursor, lovable.dev, ChatGPT, Claude, etc.).
- Working closely with product, engineering, and ML teams — discussing, revisiting, and improving solutions based on feedback and shared understanding.
- Clearly present design solutions and rationale to cross-functional teams
- Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product
We expect you to have:
- 5+ years of experience in product teams (SaaS / B2B / DevTools experience is a strong plus). Strong product thinking and the ability to turn complex processes into clear and transparent user journeys.
- Experience working on technically complex products where understanding system logic and processes matters as much as UI. Ability to balance usability, consistency, and innovation in complex systems.
- Willingness to dive into the AI domain: how datasets are prepared for fine-tuning, how fine-tuning works, how agents and their workflows are structured.
- Openness to collaboration: ability to listen, argue constructively, and incorporate team feedback.
- Interest in UX research and a clear understanding of its value for product decisions.
It will be an added bonus if you have:
- Experience with AI products, ML platforms, or developer tools.
- Understanding of API-first products.
- Experience designing enterprise-grade interfaces.
- Interest in product architecture and how systems work “under the hood.”
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior ML Engineer (AI Research)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:
- applying reinforcement learning for agent training in long-context multi-turn scenarios
- dramatically scaling task data collection to power reinforcement learning for SWE agents
- building a decontaminated evaluation for SWE agents that is regularly updated
- investigating how test-time guided search can be used to build more powerful agents
The results often lead to collaboration with adjacent teams where our research findings are applied in practice.
We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:
- Guided search and reinforcement learning for agentic systems
- Reinforcement learning for reasoning models
- Web-scale problem collection for training agents
- Efficient model distillation
Some examples of what your responsibilities might include are:
- Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
- Exploring methods of guided generation and search in the trajectory space
- Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
- Conducting experiments with different reinforcement learning configurations in verifiable domains
- Exploring methods to train AI agents on tasks with non-verifiable reward signals
We expect you to have:
- A profound understanding of theoretical foundations of machine learning and reinforcement learning
- Deep expertise in modern deep learning for language processing and generation
- Substantial experience with training large models on multiple computational nodes
- Strong software engineering skills (we mostly use python)
- Deep experience with modern deep learning frameworks (we use jax)
- Strong communication and leadership abilities
- Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
- Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
- Ability to document research findings clearly and contribute to technical publications or report
Nice to have:
- Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
- Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
- Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
- Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
- Open-source projects that showcase your engineering prowess
- Excellent command of the English language, alongside superior writing, articulation, and communication skills
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior ML Engineer (Token Factory)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.
Some directions we are currently working on, and which you can be a part of:
- Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
- Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
- Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.
We expect you to have:
- A profound understanding of theoretical foundations of machine learning and transformer architecture.
- Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
- Understanding of GPU memory hierarchy and compute/memory tradeoffs
- Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
- Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
- Strong software engineering skills (we mostly use Python)
- Deep experience with modern deep learning frameworks
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
- Strong communication and leadership abilities
Nice to have:
- Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
- Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess
- Excellent command of the English language, alongside superior writing, articulation, and communication skills.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Staff / Principal Applied AI Researcher (Agentic Search)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a Staff or Principal Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems.
You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.
We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7.
This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.
What you'll work on:
- Designing agent native retrieval systems optimised for machine consumption rather than human search UX
- Building systems where LLMs iteratively plan, query, refine, and reason over results
- Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints
Your responsibilites:
- Drive applied research and technical direction across retrieval and ranking systems
- Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
- Develop methods for grounding LLMs in real time web data at scale
- Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
- Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
- Analyse trade-offs across relevance, latency, and cost at scale
- Work closely with engineering to deploy systems in high throughput, low latency environments
- Own ambiguous problems end to end and contribute to product and research direction
- Mentor engineers and help raise the technical bar of the team
Must haves:
- 8+ years of experience in applied AI, ML, or software engineering
- Proven track record of shipping ML or AI systems to production at scale
- Deep experience with search, retrieval, ranking, recommendation systems, or assistants
- Strong understanding of modern deep learning, especially transformers and embeddings
- Experience with LLM integrated or knowledge intensive systems
- Experience designing evaluation frameworks and metrics for ML systems
- Strong programming skills in Python and at least one of Go, C++, or similar
- Ability to operate in a fast moving, product driven environment with high ownership and autonomy
Nice to haves
- Experience with large scale search or recommendation systems
- Background in agentic AI systems (agents, tool use, autonomous workflows)
- Experience with RAG, multi step retrieval, or tool use
- Publications, open source, or similar signals of technical depth and impact
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Applied ML Engineer (Agentic Search)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.
Your responsibilities:
- Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
- Build and optimise embedding-based indexing and large-scale retrieval systems
- Develop models supporting crawling, data selection, and content understanding
- Define and improve quality metrics for agent-native search and build evaluation pipelines
- Work on systems operating at very large scale, including high-throughput query workloads
- Collaborate closely with engineering teams to integrate ML models into production services
- Analyse performance trade-offs across latency, quality, and cost
- Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
- Contribute to product and architectural decisions in a fast-moving environment
Must-haves:
- 5+ years of experience in software engineering or applied machine learning
- Strong programming skills in Python, Go, or C++
- Proven experience deploying ML models in production systems
- Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
- Strong understanding of machine learning and modern deep learning techniques
- Experience working with large-scale data systems and high-throughput environments
- Ability to design evaluation frameworks and define meaningful model metrics
- Product-oriented mindset with a focus on impact and iteration
- Strong problem-solving skills and ability to work in a distributed team
Nice-to-haves:
- Experience with search systems or large-scale information retrieval
- Familiarity with embeddings, transformers, and modern NLP systems
- Experience working on LLM-powered or agent-based systems
- Contributions to open-source projects, technical publications, or conference talks
- Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior ML Engineer - Kimchi (LLM Inference Optimization)
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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Developer Relations Engineer - Kimchi
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.
Responsibilities:
- Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market
Requirements:
- You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Kimchi solves interesting - before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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Senior Machine Learning Engineer (f/m/d)
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About the Opportunity
Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.
What to expect?
- Measure and ensure the high-quality output of ML workloads for our enterprise customers.
- Design, build, and measure production software in the Contentful Platform.
- Conduct focused research and testing using tools like Jupyter Notebook.
- Optimize generative AI products for accuracy, speed, and scalability.
- Integrate ML cloud solutions and adapt them to our large-scale use cases.
- Integrate prompt engineering and fine-tuning for customer use cases.
- Develop software that scales to meet the demands of high-load customer workloads.
- Lead design reviews with peers and stakeholders to decide amongst available technologies.
- Drive the ML education in the team and establish a high standard of quality & ownership
What you need to be successful?
- Proven experience as a technical leader in a product software development environment
- Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
- Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
- Ability to organize and prioritize competing workloads
- Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
- Solid understanding of machine learning principles
- Experience with container frameworks such as Docker or Kubernetes
- Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
- Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest
Preferred:
- Background includes machine learning and AI implementation
- You can translate a research paper into a PoC if the code does not exist
What’s in it for you?
- Join an ambitious tech company reshaping the way people build digital experiences
- Full-time employees receive Stock Options for the opportunity to share in the success of our company
- Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
- We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
- Time off to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical, financial, or emotional health
- A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
Who are we?
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.
Everyone is welcome here!
“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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We are looking for a Cloud Support Engineer who thrives on helping customers get the most out of Pulumi — supporting teams as they adopt, scale, and evolve their infrastructure-as-code practice using real programming languages, automation, and developer-first workflows.
We are seeking a technical and empathetic Cloud Support Engineer to join our growing customer operations team at Pulumi. As a founding member of our support team, you will play a crucial role in defining the function while providing technical assistance and support to our ever-growing customer base. You will ensure the smooth operation and optimal utilization of our infrastructure-as-code platform. This is an excellent opportunity to work with cutting-edge technologies and be part of a fast-growing company at the forefront of our industry.
At Pulumi, you’ll be challenged, continue learning, share knowledge with others, and collaborate with a talented and supportive team.
While Pulumi is headquartered in Seattle, WA., we are dedicated to being a remote first company and this role can be located anywhere in the United Kingdom or Spain.
In This Role You Will:
- Provide technical support and assistance to customers via various communication channels (e.g., email, chat, community) regarding IaC best practices and DevOps concepts.
- Troubleshoot and resolve customer issues related to infrastructure deployments, configuration management, automation, and other infrastructure-as-code topics.
- Collaborate with cross-functional teams, including engineering, product, and sales to identify and resolve complex technical and business issues.
- Actively contribute to the creation and maintenance of technical documentation, including FAQs, knowledge base articles, and troubleshooting guides.
- Stay updated with the latest trends and best practices in IaC, DevOps, cloud services (AWS, Azure, GCP, K8s) and related technologies.
- Participate in on-call rotations to provide after-hours support when necessary.
We’re Looking For Someone With:
- Minimum of 5 years of experience in a related field, with a strong focus on Infrastructure as Code, DevOps, and code or scripting.
- Proficiency in infrastructure-as-code concepts and tools, such as Pulumi, Terraform, Cloudformation and CDK.
- In-depth knowledge of cloud service providers, including AWS, Azure, GCP, and Kubernetes.
- Comfortable authoring readable maintainable code in one or more of the following; Python, TypeScript, GO, or Java.
- Experience using AI-powered support tools and assistants (e.g., LLM-driven troubleshooting tools, AI agents, or copilots) to accelerate customer issue resolution, improve diagnostic accuracy, and enhance knowledge base contributions.
- Strong troubleshooting and problem-solving skills, with the ability to analyze and resolve complex technical issues.
- Certification(s) in relevant technologies, such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Certified Kubernetes Administrator (CKA).
- Excellent communication skills, both written and verbal, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
- Self-motivated and able to work independently as well as collaboratively in a team environment.
- Strong attention to detail and a commitment to delivering high-quality customer support.
Compensation:
- Base Salary Hiring Range (Spain): £60,000 to £111,000
- Base Salary Hiring Range (UK): €52,000 to €97,000
- All full-time employee offers at Pulumi include base salary, bonus or variable, equity and benefits (details below).
Benefits & Perks at Pulumi:
Healthcare Coverage:
We offer comprehensive medical, dental, vision, and supplemental insurance at no cost to U.S. employees. Internationally, we comply with local healthcare requirements and provide regionally appropriate coverage.
Time Off:
Our unlimited PTO policy encourages balance and rest — and we require employees to take at least three weeks off annually, plus 13 U.S. holidays.
401(k):
U.S. employees are eligible for a 401(k) plan with an employer match to support long-term financial wellness.
Parental Leave:
We provide 20 weeks of paid leave for birthing parents or primary caregivers, and 16 weeks for non-birthing parents or secondary caregivers.
Remote-First Culture:
Pulumi has been fully remote since 2020, with teammates across 20+ U.S. states and 12+ countries. We support flexible work with asynchronous collaboration and an annual “work from anywhere” stipend.
Professional Development:
Every employee receives an annual learning and development budget to support growth, learning, and career goals.
Equity Ownership:
We believe in acting like owners. All employees receive equity and are empowered to think big, move fast, and build the future of cloud together.
Additional Support:
We offer a monthly wellness fund to support mental and physical well-being, and a quarterly happiness fund for team connection.
About Pulumi:
Pulumi is reimagining how teams build cloud software, enabling developers and infrastructure experts to work better together through a unique combination of programming languages, tools, and systems innovation.
Our flagship infrastructure as code technology is open source and our SaaS product, Pulumi Cloud, provides platform teams, secrets management, and cloud management capabilities, and more. We have pioneered leveraging AI across all of these areas with our LLM-powered Pulumi Copilot to push the boundaries of what's possible. At Pulumi, we dream big, in the pursuit of helping our customers out-innovate and win.
Founded in 2017 by industry veterans with over five decades of combined experience building developer platforms, Pulumi now has a global community of more than 350,000 members and serves over 3,250 customers. Despite our rapid growth, we're still only getting started, and are early in our mission to democratize the cloud. If you thrive in a fast-paced, high-performance, we want to work with you to accelerate Pulumi's impact.
At Pulumi, we don't just accept difference, we celebrate, support, and thrive on it for the benefit of our employees, our products, and our customers. Pulumi is proud to be an equal opportunity workplace and is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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Principal Technology Architect - QA
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Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview:
We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.
We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier. You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up. You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams. If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.
What you will do:
- Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
- Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
- Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
- Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
- Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
- Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
- Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
- Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
- Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.
What we are looking for:
Required:
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
- Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
- Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
- AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
- Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
- Travel is required: Yes – Approximately 10%
AI Skills/Knowledge:
- Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
- Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
- Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
- Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.
Preferred Skills:
- Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
- Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
- Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
- Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
- Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
- Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.
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POS-31662
Role Summary
HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.
This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.
What You’ll Do
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Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.
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Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.
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Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).
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Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.
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Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.
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Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.
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Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.
Required Qualifications
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Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).
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Professional Java experience building maintainable, testable services in production (this is core to the role).
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Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).
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Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).
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Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).
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Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.
Nice-to-Have Qualifications
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Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).
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Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.
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Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.
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Experience with distributed systems, event-driven architectures, or stream processing.
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Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.
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Some Python experience (useful, but not the primary language).
We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
Explore more:
HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
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Senior Machine Learning Engineer II
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The Company You’ll Join
Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software and services lays the groundwork so you can build, invest, and scale with confidence.
Carta’s Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure.
Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don’t work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta’s software for the Office of the Fund CFO does just that - it’s a new category of software to make private markets look more like public markets - a connected ERP for private capital.
For more information about our offices and culture, check out our Carta careers page.
The Problems You'll Solve
At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.
As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include:
- Develop agentic systems to classify, extract and review data from complex financial and legal documents.
- Develop agentic systems for document acquisition and management.
- Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows.
- Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.
The Team You'll Work With
At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company.
Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta.
The Impact You'll Have
You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly.
About You
Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by “zero to one” projects, and can efficiently communicate findings to leadership. Example traits that we value:
- 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models
- Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes
- Experience with large language models (LLMs) and their applications in document intelligence
- Experience using LLMs and agentic frameworks such as Agno, Anthropic’s Agent SDK, Strands Agents SDK, A2A, LangChain or similar
- Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar
- Strong written and verbal communication skills
- A collaborative attitude and a helpful personality
- Experience building durable workflows in e.g. Temporal
Disclosures:
- We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email.
- Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details.
- For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report.
- Please note that all official communications from us will come from an @carta.com or @carta-external.com domain. Report any contact from unapproved domains to security@carta.com.
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AI Researcher
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Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.
Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.
Qualifications
- Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
- Experience translating methods between areas of application is highly valued.
- LLM experience is valuable, but not necessary.
- Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.
This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.
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Principal Product Marketing Specialist
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Principle Product Marketing Specialist | Bokun
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses.
About Bókun
Bókun, a fast-growing subsidiary of TripAdvisor Inc., is a leading reservation system and channel management platform for tours and activities operators globally. We empower our clients to streamline their back-end operations and connect to a vast ecosystem of online travel websites, enabling them to grow their businesses. As a key player in travel technology, Bókun combines the agility of a startup with the stability of a publicly traded organisation.
Bókun is seeking a Principle Product Marketing Specialist to own our AI-powered content strategy and bottom-of-funnel content programme. Reporting directly to the Senior Product Marketing Manager, this role sits at the intersection of product marketing, content, and emerging AI search — responsible for positioning Bókun as a citable source in commercial AI prompts — building the library of high-intent onsite content (product-led blogs, FAQs, templates, integration content) that gets Bókun surfaced, recommended, and chosen at the moment buyers make decisions
This is not a traditional Product Marketing role. You will be the person who understands how LLMs surface information, how AI search tools like ChatGPT, Perplexity, Gemini, and Google AI Overviews decide what to recommend — and who builds a content engine designed to win in that world.
What You'll Do:
AI & LLM Content Strategy
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Content creation explicitly designed to be surfaced and cited by AI tools at the decision stage of the buyer journey
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Build and maintain a structured library of authoritative content (feature explainers, comparison guides, how-tos, FAQs) engineered to rank in and be recommended by LLMs
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Position Bókun as a citable source in commercial AI prompts by creating and owning high-intent onsite content — product-led blogs, FAQs, templates, and integration content designed to be surfaced when buyers are actively evaluating solutions
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Monitor how Bókun is represented across AI search tools and identify gaps, inaccuracies, and opportunities to improve our presence
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Stay ahead of how AI search behaviour is evolving and continuously adapt our content approach
Bottom-of-Funnel Content
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Create and own a programme of bottom-of-funnel content designed to convert buyers at the moment of decision — how-to guides, feature walkthroughs, use case explainers, and platform comparison content
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Build content that directly answers the specific questions buyers ask when evaluating Bókun against competitors — structured for both human readers and AI citation
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Develop and maintain a content calendar focused on high-intent, decision-stage topics across the customer lifecycle
Video & Explainer Content
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Script, brief, and project-manage short-form explainer and how-to videos that educate new and existing customers on Bókun features
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Collaborate with design and production to deliver video content that works across the website, social, email, and in-product
GTM & Product Marketing
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Support Go-to-Market strategy and execution for new features and launches, contributing AI-first content assets to each GTM
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Conduct post-launch content analysis to identify gaps and optimise for both human and AI search performance
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Maintain a pulse on the competitive landscape and ensure Bókun's content positioning reflects market realities
Cross-functional Collaboration
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Work closely with product, engineering, sales, and the broader marketing team to ensure content is accurate, timely, and aligned with product direction
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Bring an AI search and LLM perspective into cross-functional planning conversations
Job Location: Hybrid
This role is a hybrid position that requires 2 days per week in our London, UK office.
Requirements:
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3-5 years of experience in product marketing, content marketing, or a related discipline, preferably in SaaS, B2B, or travel technology
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Genuinely curious about how AI search and LLMs work — you've thought about how tools like ChatGPT, Perplexity, and Gemini decide what to surface, and you want to build content that wins in that environment
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Experienced in creating bottom-of-funnel content — how-tos, feature guides, comparison pages, decision-stage explainers — that drives real conversion
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Comfortable scripting and briefing video content; bonus if you've managed short-form explainer video production end-to-end
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Strong writer with the ability to produce clear, structured, benefit-led copy across formats — from long-form guides to concise feature explainers
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Analytical and data-driven — you use performance data to understand what's working and iterate quickly
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Familiar with AI content tools and comfortable using them to scale output without sacrificing quality (e.g. Perplexity, Notebook LM, ChatGPT, Jasper or equivalent)
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Self-directed and comfortable managing multiple projects in a fast-moving environment
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Highly collaborative — you know that great content requires close partnership with product, engineering, and sales
Nice To Have:
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Experience with SEO and structured content for search (schema, FAQs, entity-based SEO)
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Familiarity with how AI Overviews, featured snippets, and LLM training data intersect with content strategy
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Experience in travel tech or marketplace platforms
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Hands-on experience with tools like Mixpanel, GA4, or similar for content performance tracking
What We Offer
- Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
- “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
- Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
- Donation matching. Give back? Give more! We match qualifying charitable donations annually.
- Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
- Travel perks. We believe that travel is employee development, so we provide discounts and more.
- Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
- Health benefits. We offer great coverage and competitive premiums.
- Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.
Our Cultural Pillars:
Traveler first
We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.
Execution is our edge
We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges.
We succeed together
The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!
#LI-Hybrid
#LI-JP
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Staff Technical Program Manager, AI
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
We are seeking a highly experienced and results-oriented Staff Technical Program Manager (TPM) to drive AI-first engineering excellence efforts. Our mission is to improve engineering velocity, and you will act as a force multiplier on mission-critical, large, complex initiatives with a focus on AI enablement. In this role, you will be driving the technical roadmap that transforms how our engineering teams build software through AI-assisted workflows. This high-impact role requires a deep understanding of infrastructure, developer productivity, and the evolving landscape of AI tooling.
What you´ll do
- Lead the end-to-end program management for Engineering Excellence / AI readiness / AI DLC rollout projects.
- Integrate Claude Code and other AI-native development tools and skills management into existing engineering workflows for measurable productivity gains.
- Support Engineering Platform teams in efforts to modernize CI/CD pipelines, enabling automated AI-driven testing, code reviews, and deployment orchestration.
- Drive technical strategy and alignment across Engineering, Security, and Product leadership to address the unique challenges of AI-generated code and agentic autonomy.
- Align roadmaps across multiple teams and domains to roll out AI advances.
- Mentor other TPMs and engineers, raising the collective technical bar for AI-integrated program management across the organization.
- Solve problems, improve processes, remove bottlenecks, share updates - all the TPM bread and butter, AI-assisted (by you!) to be made as simple as possible, but not simpler.
Who You Are
- Bachelor's degree or above in Computer Engineering, Computer Science, or a related technical field. You are an engineer or scientist by training.
- 10+ years of experience in technical program management or software engineering leadership. You are a manager by earned experience.
Software development background with programming language proficiency and the ability to participate in architectural reviews. You are still a developer at heart. - Extensive experience with AI-assisted development tools (e.g., Claude Code) and a strong understanding of LLM capabilities. You are hands-on.
- Expert-level knowledge of CI/CD methodologies, infrastructure-as-code, and cloud-native development environments. You automate at scale.
- Proven track record of leading large-scale, complex technical rollouts across multiple business units. You deliver.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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Senior Product Manager - Integrations
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Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.
Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need through forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year and integrates with essential tools like Slack, Zapier, and HubSpot.
About the role
We are looking for a Senior Product Manager to own and evolve Integrations, the surface that connects every Typeform experience to the tools customers use to run their business.
Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. Every response captured can flow into a CRM, a marketing tool, a database, a chat, or a spreadsheet, wherever the next step happens. That layer needs to be deep, dependable, and easy to extend, at the scale of 500 million responses a year for 150,000 businesses across the long tail of tools they rely on. It has to be reliable, observable, secure, and able to scale as customer stacks become more sophisticated.
In this role, you will own Integrations end to end. You will evolve the platform while partnering with Automations and Typeform AI to make the integrations layer the substrate for both customer configured and agentic workflows.
Your work will define how Typeform plugs into the rest of the SaaS world for tens of thousands of customers, and how AI agents take action through it.
About the team
The Integrations team owns the layer that connects Typeform to the broader SaaS ecosystem: the connectors, auth flows, the action catalog, and the partner experience that makes it all work. Hundreds of millions of integration calls flow through this surface every year.
The team sits inside the Workflow Automations group alongside Automations, and works closely with Data Capture upstream, as well as with the Partnerships team and external partners across the long tail of tools customers rely on.
Things you will do
- Own both data out and data in integrations end to end, and drive the strategy in line with the Workflow Automations group vision and priorities
- Build and maintain traditional API integrations, as well as agentic MCP based integrations
- Evolve the platform so customers, partners, and agents can build on it with confidence
- Deepen priority integrations, the ones that move the most business, and define how new ones are onboarded
- Partner with Automations to make integrations the substrate AI agents act through, without fragmenting the surface
- Set the architectural direction for the integrations platform remit, partnering closely with engineering on the trade offs that come with it
- Define and own the next phase of Integrations, with a clear thesis and quarterly sequencing
- Influence group level decisions through compelling storytelling and strategic framing
- Monitor competitors, market trends, and shifts in customer expectations, including the fast moving AI landscape, to identify opportunities and guide strategy
- Work cross functionally with engineering, design, research, marketing, customer success, sales, and Partnerships to align on priorities and technical direction
- Leverage AI tools to accelerate discovery, analysis, documentation, and decision making
What you already bring to the table
- A strategic thinker with strong product instincts and high ownership
- Platform PM experience with real depth; you have built or shipped integration platforms, connector frameworks, or developer facing surfaces, and understand what it takes to scale them
- Deep familiarity with developer facing surfaces, including APIs, webhooks, SDKs, OAuth and auth flows, and event systems
- Familiarity with agents, LLMs, context management, and RAG
- An understanding of how integrations underpin workflow automation and agentic action, alongside a strong point of view on the platform shift happening across both
- An AI native mindset; you actively build with LLMs, agents, and tool use frameworks, and treat AI fluency as a core multiplier rather than a buzzword
- Technical depth and comfort engaging with engineers on the underlying mechanics of an integrations product, including auth flows, connector architecture, rate limiting, retries, and event flows, not just the abstraction layer
- Comfort with technical trade off discussions around reliability, observability, performance, and partner contract changes
- Strong product sense and the ability to identify what makes an integrations surface feel reliable, deep, and effortless
- A customer first mindset with strong discovery and validation skills; able to pair early customer signals with data to test ideas quickly
- Strong storytelling and strategic framing skills; able to align and influence cross functional teams and leadership through clarity and narrative
- A strong triad collaborator who builds solid relationships with engineering and design, and leads through influence
- High agency and a proactive mindset
- Strong product craft, including writing clear specifications and managing complex cross team initiatives
- A data driven approach to decision making and prioritisation; able to define the measurement model for the Integrations surface without relying on a data analyst for every question
- Comfort operating in ambiguous environments and defining direction where none exists
- Experience working in distributed and remote teams, with the ability to maintain alignment and momentum asynchronously
- A mindset of continuous learning, improvement, and collaboration
Nice to have
- Experience shipping integration platforms or iPaaS products such as Zapier, Make, Workato, Tray.io, or n8n
- Experience as a PM on a third party integrations surface inside a horizontal SaaS ecosystem such as Slack, HubSpot, Salesforce, or Notion
- Experience designing developer platforms, including SDKs, developer portals, marketplaces, and partner programs
- Experience launching an LLM powered or agentic feature where integrations were the action surface
- Experience working with external partners and partner business development teams
This is where you will make an impact
Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. You will own the layer that connects 150,000 businesses to the hundreds of tools they rely on: the connectors, auth, the action catalog, and the platform that makes it all work.
You will also help lead the shift from manual connections to agentic action, the moment integrations stop being a checkbox and become the substrate every workflow and every agent runs through.
*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.
We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.
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AI Solutions Architect (IT)
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Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the Role
We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.
You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.
This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.
What You'll Achieve
- Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
- Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
- Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
- Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
- Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
- Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
- Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
- Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
- Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.
What You’ll Need to Be Successful
- Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
- Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
- Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
- Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
- Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2.
- Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life.
- Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
- Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
-
We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
-
Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Ready to apply?
Apply to Fortis Games
AI Solutions Architect (IT)
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Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the Role
We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.
You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.
This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.
What You'll Achieve
- Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
- Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
- Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
- Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
- Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
- Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
- Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
- Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
- Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.
What You’ll Need to Be Successful
- Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
- Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
- Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
- Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
- Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2.
- Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life.
- Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
- Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
-
We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
-
Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Ready to apply?
Apply to Fortis Games
AI Solutions Architect (IT)
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Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the Role
We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.
You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.
This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.
What You'll Achieve
- Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
- Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
- Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
- Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
- Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
- Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
- Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
- Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
- Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.
What You’ll Need to Be Successful
- Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
- Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
- Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
- Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
- Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2.
- Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life.
- Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
- Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
-
We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
-
Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Ready to apply?
Apply to Fortis Games
AI Solutions Architect (IT)
Share this job
Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the Role
We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.
You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.
This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.
What You'll Achieve
- Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
- Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
- Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
- Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
- Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
- Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
- Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
- Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
- Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.
What You’ll Need to Be Successful
- Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
- Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
- Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
- Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
- Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of GDPR, NIST, and SOC 2.
- Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life.
- Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
- Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
-
We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
-
Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
Ready to apply?
Apply to Fortis Games
Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
The Role
Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth “data fabric” used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data.
Addepar’s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.
As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You’ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow — LLM tools are integrated into code review, testing, and documentation as standard practice, not an experiment. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our platform with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual effort required from our clients or from our internal data operations team.
Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
What You’ll Do
- Complete individual project priorities, deadlines, and solutions.
- Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts
- Improve the existing pipeline to increase the throughput and accuracy of data
- Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met
- Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency
- Identify areas of automation opportunities and implement improvements
- Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
- Use AI-assisted development workflows — The team uses LLM tools (Claude Code) as a standard part of the engineering workflow: pre-review, test generation, code analysis, and documentation. You'll be expected to adopt and contribute to these workflows
- Maintain and improve automated quality gates — Work with AI-powered code review tooling to enforce coding standards, catch regressions before human review, and reduce manual toil in the PR process
Who You Are
- Prior professional data engineering/analysis experience
- Experience with object-oriented programming (we use PySpark/Python)
- Knowledge of SQL or relational database concepts
- Experience in data modeling, visualization, and ETL pipelines
- Comfort working with AI/LLM tools as part of your development workflow (e.g., code assistants, automated review, AI-generated tests). You don't need to be an expert — but you should be curious and willing to adopt new tooling quickly
- Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
- Passion for the world of FinTech and solving previously intractable problems at the heart of investment management
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
Ready to apply?
Apply to Addepar
Senior Staff Software Engineer, Agentic Platform
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.
You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
WHAT YOU WILL DO
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
WHY THIS ROLE MATTERS
This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN
- The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
- Private Health Insurance
- 25 days paid annual leave
- 3 paid days off for volunteering or L&D activities
- Parental Leave days
- Family-Friendly Leave
- Personal L&D budget in the amount of 500 EUR per year
- Mental wellbeing platform Plumm
- WFH equipment allowance
- Sabbatical Leave
- Share options
- Team Events
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.
You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
WHAT YOU WILL DO
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
WHY THIS ROLE MATTERS
This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
Our location-specific employee benefits are designed to cater to the unique needs of Tideans:
- Remote first
- 25 days of paid annual leave
- 3 paid days off for volunteering or L&D activities
- Private Health Insurance
- Mental Health Support Platform
- FitPass
- Family and friendly leave (according to statutory)
- Personal L&D budget
- Share Options
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.
You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
WHAT YOU WILL DO
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
WHY THIS ROLE MATTERS
This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
Our location-specific employee benefits are designed to cater to the unique needs of Tideans:
- 25 days paid annual leave
- 3 paid days off for volunteering or L&D activities
- Extended maternity and paternity leave covered by the company
- Personal L&D budget in the amount of 500 EUR per year
- Additional health & dental insurance
- Mental wellbeing platform
- Fully covered Multisports card
- Food vouchers
- Snacks, light food, drinks in the office
- WFH equipment allowance
- Flexible working from home
- Sabbatical Leave
- Share options
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
Location : London, Bulgaria, Serbia and Lithuania
ABOUT THE ROLE
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.
You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
WHAT YOU WILL DO
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
WHY THIS ROLE MATTERS
This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU'LL GET IN RETURN
- Flexible working options
- Group Life Insurance
- Vitality Health Insurance, with a proactive focus on mental and physical wellbeing
- 25 days holiday with the ability to buy extra days
- 3 days for L&D or volunteering time off per year
- We invest in your development with a £1,000 professional L&D budget per year
- Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme and pension contribution
- Spacious brand-new office near Old Street with an all-day snacks bar
- Enhanced family-friendly leave
- Sabbatical leave
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at Tide
Developer Experience Lead
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Location: Miami, FL | London, UK | Remote (US)
The Problem and the Role
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions.
We are seeking a Developer Experience Lead, who will report to the head of Product Growth, to own the entire developer-facing surface of our platform, from documentation to integration support to API governance. We have built a world-class financial engine, but how external developers experience that engine has no owner. This role fills that gap.
This is a foundational role. You will be the first hire in this function. You will architect the documentation ecosystem from the ground up, define the processes that keep it accurate as the platform evolves, and directly support the clients who integrate with our APIs. Over time, you will shape how Developer Experience operates as a discipline at OpenFX, influencing product decisions, integration strategy, and the developer journey end-to-end.
You will set the bar higher than industry standards, building a knowledge system that turns complex FX liquidity and cross-border payment flows into a Hello World integration in under 15 minutes.
What You'll Actually Do & Own
- Drive API Product Adoption: You own API adoption as a measurable outcome. You instrument the funnel from API key activation to first API call to first transaction to expanded endpoint usage. You set the baseline, define the targets, and drive the cross-functional work to move the number. Every quarter, more developers are activated, more endpoints are used, and integrations go deeper. This is what you are accountable for, not pages shipped.
- Architect the Documentation System: Documentation is the primary adoption surface. You own the information architecture and the words. You design the taxonomy that scales from a simple Quickstart guide to complex Treasury Operations references. You determine how we version, layer, and present information so it does not collapse under its own weight as the platform grows. You build it on docs-as-code infrastructure that engineers can contribute to. You measure documentation by whether it moves adoption, not by completeness for its own sake.
- Own the OpenAPI Workflow: Your first technical priority is aligning the OpenAPI spec to production reality. Then you implement and enforce a contract-first governance model where the spec is treated as a product contract, not a generated afterthought. Spec linters run in CI as merge blockers. OpenAPI updates are part of engineering's Definition of Done. Breaking changes are detected automatically and routed through a defined deprecation process. You sit in Product and Engineering reviews as the First User: if an API is too hard to explain in writing, it is too hard to use, and you have the authority to push back before code ships.
- Drive Developer Advocacy: You are the external voice of OpenFX inside the developer community and the internal voice of the developer inside OpenFX. You write technical content that earns developer trust: deep-dive blog posts on idempotency under retries, sample apps that demonstrate real cross-border payment flows, integration pattern guides for PSP, neo-bank, and treasury use cases. You build feedback loops that turn integration friction into product changes. As volume justifies, you represent OpenFX at developer-focused events, conferences, and partner enablement sessions. You are the reason developers choose OpenFX over a competitor whose docs they could not understand.
- Own Integration Triage: You are the technical front door for client integration questions during US business hours. You triage whether each issue is a documentation gap, an API design problem, or a code bug. You fix documentation gaps directly and route the rest to engineering with structured context. You build the repeatable onboarding playbook that turns one-off Slack threads into a scalable process. You partner with GTM, who owns the client relationship; you own the developer experience surface that surfaces during integration.
What Success Looks Like
- API Product Adoption: You own the adoption funnel from API key activation to first API call to first transaction to expanded endpoint usage. You instrument it, set the baseline, define the target, and drive the cross-functional work to move the number. This is the metric you are accountable for.
- Time to First API Call: Drops from around 3 days to under 15 minutes within 90 days. You own the Quickstart, code snippets, and onboarding tutorials that make this speed possible, and you advocate for the product changes needed to remove the rest of the friction.
- Instructional support tickets: reduced 40% within 90 days, with 42% of onboarding support requests as the baseline.
- Spec drift: no spec drift incidents that reach production. The OpenAPI spec stays aligned to production as the platform evolves.
- V1 Developer Portal: a public API doc portal (References, Guides, Changelog, sample apps) is live, searchable, and built on docs-as-code infrastructure. 100% of public endpoints have accurate request and response examples.
- Developer advocacy presence: a published cadence of technical content (deep-dive guides, sample apps, integration patterns) that builds developer trust and drives inbound adoption. Establish the baseline, grow it quarterly.
- DX roadmap: a written plan for SDK strategy, portal evolution, adoption analytics, and Agent Experience foundations and expansion (CLI, MCP)
Requirements
- 5+ years owning a developer-facing API product or platform. B2B or infrastructure. You drove a measurable adoption outcome, not just shipped pages. You can point to the integration experience you built, the funnel you owned, and the metric you moved.
- Direct client integration work. You have sat on integration calls with B2B or institutional clients, diagnosed friction live, and fed it back into product changes (not just documentation updates). You know what breaks during real integrations, not what should break in theory.
- Product instinct for API design. You have opinions on endpoint design, parameter naming, authentication UX, error response formats, idempotency keys, and SDK ergonomics. You have opinions on these calls and get changes shipped before code hits production.
- Engineering fluency. You read code well enough to extract logic independently. You understand distributed system concepts (latency, rate limiting, idempotency, eventual consistency, async patterns). You can sit in a code review and have something useful to say.
- Contract-first governance experience. You have implemented or enforced OpenAPI workflows where the spec is treated as a product contract, not a generated artifact.
- Financial services or fintech context. You know the difference between authorized and settled. You have worked on payments, trading, or banking APIs.
- Agent Experience instinct. You have shipped or experimented with MCP servers, agent-native SDKs, llms.txt, evaluation suites for LLM-driven API consumption, or other agent-readable API patterns. You have a point of view on what Developer Experience looks like when AI agents are first-class consumers.
Preferred
- Interactive docs experience: code playgrounds, Try It Now, in-browser sandbox.
- Multimedia documentation skills: video tutorials, sequence diagrams, architecture diagrams that complement written documentation.
- Developer advocacy or DevRel experience: you have written technical content for an external developer audience, shipped sample apps, or represented a product at developer events.
Why This Role?
- Foundational Ownership: You are the first hire in this function. You define the hiring standards, the voice, and the culture of Developer Experience at OpenFX. As the function scales, you lead the team.
- Greenfield Architecture: You are building the DX product from the ground up. You build the system right the first time, selecting the stack, the taxonomy, and the governance model from scratch.
- The Frontier of Finance: You will learn the inner workings of global finance (FX liquidity, settlement, treasury), and you will apply them to the new payment stack as well as the legacy rails of the past. Our technology is novel; you teach developers how to think about the future of money and define the vocabulary of the industry.
- Where This Role Grows: The next milestone is Agent Experience. AI agents are becoming first-class consumers of APIs alongside human developers. As Developer Experience matures, you lead the expansion into agent-native tooling: MCP servers that expose OpenFX as agent-callable tools, SDKs and CLIs designed for both human and autonomous consumption, semantically structured documentation that LLMs can parse natively, evaluation suites that test whether agents can invoke OpenFX correctly from natural language, and sandboxing patterns that let agents transact safely. Few companies have a clear owner for what Agent Experience means at the API layer. You define this discipline at OpenFX, and you do it from a foundation of human Developer Experience that already works.
- The Team: You are joining a team of ex-Stripe, J.P. Morgan, and Kraken alumni. We are backed by Accel, Atomico, M13, Northzone, Pantera, and we believe that our APIs are core to our product.
Ready to apply?
Apply to OpenFX
- Source and close net new logos within a given territory in your book of business
- Respond to inbound leads, including demo requests and event followups
- Have the ability to navigate organizational structures and identify sponsors and champions
- Research and understand the business objectives of your customers and have the ability to perform a value drive sales cycle
- Collaborate with internal partners to move deals forward and ensure customer success
- You will consistently deliver ARR revenue targets and drive success through a metric-based approach
- Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
- Provide timely and insightful input to other corporate functions
- Create ROI and business justification reports based on a data-driven approach
- Run tight POCs based on business success criteria
- 3+ years of closing experience with direct field sales experience selling enterprise cloud software to EMEA companies.
- Commercial / Mid Market / Corporate segment selling experience is a MUST
- Ability to learn, pitch and demonstrate a highly technical product and have the ability to adapt in a fast-growing and changing environment
- Have clear examples of closing complex deals and selling into complex organizations
- Effectively use a repeatable method for uncovering greenfield opportunities and building out a new territory
- Previous experience building relationships and selling face-to-face to senior leaders.
- Knowledge of best of breed softwares and a technical understanding of integrations, APIs, infrastructure management, security and analytics
- Experience selling technical SaaS and cloud-based software solutions
- You have previous experience working with multiple teammates, including SEs, BDRs, PMs, Executives & Engineers
- This is a hybrid position; you will be based in the UK and know the UKI market, including its cultural nuances and business practices.
- This role is hybrid (1 day a week in our London office)
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Staff Product Manager, AI Solutions & Strategic Enablement
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The opportunity
At Unity, we’re fostering a culture built on Empathy, Respect, and Opportunity. We are looking for a Staff Product Manager of AI Solutions & Strategic Enablement to lead the orchestration of AI across our enterprise. This isn't just about building applications; it’s about defining the framework, governance, and integration strategies that allow AI to transform how Unity operates.
This strategic lead sits at the heart of the Enterprise AI team with a company-wide remit. You will act as the bridge between cutting-edge technical capabilities and high-value business outcomes, reporting directly to the Senior Manager of Strategy and Execution. You will navigate the complex intersection of Engineering, IT, Security, Legal, and Finance to ensure AI isn't just a "feature," but a scalable business lever.
What you'll be doing
- Architect the AI Portfolio: Instead of managing a single product, you will curate a portfolio of AI-enabled solutions, ensuring they align with Unity’s overarching business objectives and provide a cohesive user experience across departments.
- Drive Business Transformation: Work with cross-functional leaders to identify high-friction business processes and design AI-driven interventions. You will define the ROI frameworks and success metrics that justify AI investment.
- Enablement & Governance: Partner with Security, Legal, and IT to build the "Golden Path" for AI adoption—creating the standards, guardrails, and shared capabilities that allow teams to deploy AI safely and efficiently.
- Strategic Interfacing: Act as the primary translator between technical ML teams and business stakeholders. You will translate complex technical constraints into business risks and opportunities.
- Lead Through Influence: Direct the roadmap for shared AI infrastructure and internal "platforms" that enable other teams to build their own solutions, ensuring we aren't reinventing the wheel in silos.
- Evangelism & Change Management: Articulate a compelling vision for the "AI-augmented workplace." You will lead the communication strategy to ensure new capabilities are understood, adopted, and iteratively improved based on real-world business impact.
What we're looking for
- 6+ years of Product/Program Management experience, with at least 3 years focused on AI/ML or complex platform ecosystems. You have a track record of moving needles on business-wide metrics, not just shipping features.
- Systems Thinker: You understand the "Big Picture." You can see how a change in data infrastructure impacts Legal compliance, which in turn affects the end-user experience.
- Strategic Technical Fluency: Deep understanding of the LLM lifecycle (fine-tuning, RAG, prompt engineering, latency/cost trade-offs) and how these technologies integrate into enterprise tech stacks.
- Master of Influence: Proven ability to drive alignment in "dotted-line" environments. You can mediate between a developer’s desire for technical excellence and a business leader’s need for rapid ROI.
- Business Acumen: Experience building business cases for emerging tech, managing vendor relationships (OpenAI, Anthropic, etc.), and navigating the build-vs-buy-vs-partner matrix.
You might also have
- Experience in Management Consulting or Internal Strategy: A background in high-level organizational problem-solving.
- Operational Excellence: Experience scaling internal platforms or centers of excellence (CoE) within a global SaaS environment.
- A "Solution Architect" Mindset: You enjoy the challenge of making disparate systems talk to each other to solve a human problem.
Additional information
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
CX Services Program Manager
Product Domain | Premium · Ultimate · DAP & AI Adoption
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.
An overview of this role
As a CX Services Program Manager on the CX Services Portfolio team, you will own the complete customer journey for one of GitLab core product areas — Premium, Ultimate, or the GitLab Duo Agent Platform (DAP). That means owning the customer journey from how we guide customers from their first touchpoint all the way through deep platform adoption, paying careful attention to how we serve customers across every service capacity: scaled and digital motions (free resources, community, self-serve), Customer Success Tiers, Professional Services engagements, and Education and Training offerings. You will design, manage, and enable the services that move customers forward at every stage of that journey.
This is a role that sits at the intersection of product thinking, service design, and cross-functional influence. You do not deliver customer engagements — you build the offerings, frameworks, and enablement that allow GitLab PS, CS, and AE teams to do so at scale. You will act as the product manager for your product area tooling and collaborate on requirements with the CX Engineering Platform team, helping shape the CX Services Roadmap.
We expect everyone on this team to work with an AI-forward mindset — and we mean that in two directions. First, you will use AI actively in your own daily work: synthesizing research, drafting offer frameworks, writing requirements, and building enablement materials faster than would otherwise be possible. We are not looking for people who are curious about AI in theory. We want people who are already inside it — who have developed opinions about which tools work best for which tasks and can point to specific workflow changes that have made a real difference. Second, because we are designing services to help enterprise customers adopt AI at scale, the best people for these roles are the ones who understand that transformation firsthand.
You will partner with stakeholders at every level of the organization — from individual contributors in the field who deliver your services day-to-day, through to a cross-functional group of leaders shaping the CX Services Roadmap. The ability to communicate clearly and credibly across that full range is as important as the ability to design a great service.
This role reports to the Sr. Manager, CX Services Team.
What you'll do
- Own the end-to-end service portfolio for your assigned product area — offer design, pricing, BOM standards, lifecycle management, field enablement, and sunset decisions
- Map and continuously refine the complete customer journey for your product area, defining how customers are guided across scaled digital motions, Customer Success Tiers, Professional Services, and Education and Training
- Define measurable customer outcomes and value anchors for each offering, ensuring every service can clearly articulate what success looks like and how it is verified
- Act as product manager for your product area tooling requirements into the CX Engineering Platform team — writing requirements, reviewing prototypes, managing a backlog, and conducting UAT
- Partner with PS Engineers, Customer Success, Project Managers, and Solution Architects to gather field input and translate it into refined or net-new service offerings
- Build and maintain relationships with stakeholders across the full organizational range — from PSEs and CSMs who deliver your services in the field, through to VP-level PS and CS leadership and C-suite executives
- Collaborate with your peers across the CX Services Portfolio team to design consistent customer experiences and ensure services are properly sequenced across the customer lifecycle
- Create and maintain field enablement materials — playbooks, objection handling guides, Highspot pages, talk tracks, and training sessions — for CSMs, CSAs, PSEs, and AEs
- Use AI tools actively in your daily workflow to accelerate research, drafting, synthesis, and requirement writing — and contribute what you learn to the team shared AI practice
- Track service performance data including utilization rates, margin, and customer outcome achievement, and use insights to drive continuous portfolio improvement
What you'll bring
- 7+ years of experience in professional services, customer success, solutions architecture, or product management at a SaaS company
- Demonstrated experience designing or managing service offerings — not just delivering them. You have written a scope of work, defined pricing, and built a delivery kit
- Strong understanding of DevOps, application development, SDLC, or security domains — you do not need GitLab product knowledge on day one, but you need the technical foundation to develop it quickly
- Technical depth sufficient to design credible services. You do not need to have delivered these engagements yourself, but you need to understand them well enough that the practitioners who do will trust your judgment
- Deep familiarity with AI/ML engineering workflows, LLM capabilities, and agentic systems — and the organizational change management required for enterprise AI adoption
- A demonstrated AI-forward working style — you actively use agentic coding and AI tools as part of your daily workflow. You have formed opinions about how these tools change the way you work, and you can walk us through a specific workflow you have built or discovered that materially changed your output quality or speed
- Proven ability to build trust and communicate effectively across the full stakeholder range — individual contributors, managers, directors, VPs, and C-suite — in a remote, async-first environment
- Commercial acumen: fluency in how professional services and subscription services are priced, packaged, and sold in an enterprise context
- Strong written communication skills: you can produce crisp executive summaries, clear requirements, and field-ready enablement materials without extensive editing
About the team
The CX Services Portfolio team sits within CX Engineering at GitLab. We are responsible for designing, enabling, and optimizing the service offerings that help customers achieve business outcomes across GitLab three modernization journeys: AI, Security, and DevOps. We do not deliver customer engagements directly — we build the frameworks, offerings, and enablement that allow our CSM, CSA, PSE, and AE teams to do so at scale. We work in close partnership with the CX Engineering Platform team, for whom we act as product managers, and with delivery organizations across Professional Services, Customer Success, and Education Services.
How GitLab will support you
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
Hiring process
- TEXT
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
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Staff Backend (Python) Engineer, AI Engineering:Duo Chat
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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.
Some examples of our projects:
- Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
- Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale
What you'll do
- Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
- Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
- Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
- Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
- Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
- Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
- Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
- Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)
What you'll bring
- Production experience building and operating backend services in Python, including background jobs, APIs, and data models
- Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
- Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
- Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
- Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
- Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
- Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
- Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains
About the team
The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
Staff Backend Engineer (Ruby on Rails/AI), Verify
Share this job
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a central role in how we integrate AI into CI/CD workflows. Your work will impact performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises.
AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.
We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:
- Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.
- Define what success looks like across our agent portfolio and make sure we're tracking against it — not just shipping, but learning.
- Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.
- Examples of Agentic CI work we have planned for the upcoming year:
- AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.
- Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.
- Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what's working, catch what isn't, and iterate with confidence.
- Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.
What you’ll do
- Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume.
- Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform.
- Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate.
- Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards.
- Own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data.
- Write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk.
- Lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage.
- Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.
What you’ll bring
- Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase.
- Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.
- Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.
- Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production.
- A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria.
- Familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration.
- Strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes.
- Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.
About the team
The Verify stage focuses on collaboration, iteration, and helping GitLab users run fast, reliable, and scalable Continuous Integration (CI) pipelines for projects of all sizes, from small teams to large enterprises. For more on how we work, see Team Handbook Page and Related Initiative.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
Senior Backend Engineer (AI), Pipeline Execution
Share this job
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a key role in how we integrate AI into CI/CD workflows, working on features that improve performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises.
AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools — you’ll design, build, and iterate on AI-assisted and agentic CI experiences. You’ll help define and implement patterns for how we measure success, how we instrument behavior in production, and how we account for large language model limitations in real-world environments. You’ll also help integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.
In this role, you will:
- Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate.
- Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production.
- Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.
Examples of Agentic CI work we have planned for the upcoming year:
- AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.
- Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.
- Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what’s working, catch what isn’t, and iterate with confidence.
- Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.
What you’ll do:
- Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale.
- Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform.
- Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices.
- Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt.
- Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage.
What you’ll bring:
- Strong Ruby on Rails backend experience in a large, production codebase.
- In-depth experience building and operating AI-powered backend features in production.
- A data- and observability-driven approach to diagnosing issues, improving reliability, and validating impact.
- Clear written and verbal communication, with a collaborative, mentoring mindset in a remote, async environment.
- Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.Nice to have
- Experience with AI agents or agentic frameworks (for example, LangChain or similar technologies) and building agentic workflows in production environments.
- Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab