About the team

With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

About the role

The Roku’s software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for SW embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.

You will work cross-functionally with various engineering teams, using your finest automation expertise to help both FW developers and QA to create and deliver highest quality product that help in provide valuable end-user feedback to improve customer’s experience.  This position requires python expertise with strong experience of using web frameworks, excellent debugging, written and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery.  We are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in consumer electronics space. As an engineer on the team you will require skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone and relish getting your hands dirty working with user facing products

What you'll be doing

• Support and maintain existing automation tools and technology
• Develop and release new E2E automation support and tools
• Debug issues to improve the quality of automated test tools and frameworks
• Conduct code reviews to improve code quality and optimization
• Promote coding conventions and standards for code re-usability and cleanliness
• Document Feature guides, identify and formulate user requirements, product behavior
• Mentor less experienced engineers and driving automation development
• Assist in monitoring and maintenance of critical systems

We're excited if you have

• 5+ years of hands-on experience with automation systems
• 5+ years of programming experience, preferably with Python
• Bachelor’s degree in Computer Science or related
• Proficient in linux, Python based test automation frameworks and tools using REST APIs
• Hands on experience in development/integration of E2E test automation framework and tools for embedded software devices
• Experienced in developing and maintaining web based tools using Javascript, React
• Proficiency with DevOps, continuous integration tools (Jenkins, Gitlab CI, Teamcity, Docker and Kubernetes)
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
• Experience with Unit Testing frameworks – pytest/pyunit and cypress, playwright for UI testing
• Experience of developing web applications using Flask, FastAPI, Django, Nginx
• Experience and knowledge of using generative AI
• Expert problem-solving and technical troubleshooting skills
• Ability to learn new technologies quickly
• A self-directed professional able to work independently
• Ability to work through ambiguous requirements and being flexible/adaptable to change
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US timezones
• Excellent communication and collaborative skills
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
• Knowledge of network technologies and libraries such as TCP/IP and HTTP
• Previous experience and knowledge of image processing and inferencing, creating computer vision capabilities for visual testing

#LI-AB3

About the Team 

Roku’s Voice Team aims to develop the best voice system for TV.  We enable users to launch channels, search for movies, TV shows, sports, and music, discover new content, and control their TVs and Smart Home devices with natural spoken requests, including hands-free, in multiple languages.  Our goal is to help people find what they want and make it easier for people to stream.  We accomplish this using state-of-the-art technology and engineering to make it happen, with consideration for the customer as the center of all that we do.

About the Role

We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and functionality.  In this role, you will have the opportunity to analyze data from our users around the world and incorporate your insights into our products.      

You will be joining a talented, high-performance team with a history of delivery.  We are looking for someone who can help us maintain this accelerated pace and continue delivering high quality as we grow.

What you’ll be doing

• You will develop models to extend voice support to new Roku features and across languages internationally
• You will collect and analyze spoken and written language data to improve our models, capturing a wide variety of expressions in rule-based or machine-learned systems
• You will maintain our existing systems, recognize issues and apply the right tools to debug and solve problems

We’re excited if you have

• Master’s or Ph.D. degree in Linguistics, Computer Science, or related field
• Proficiency in at least one non-English language, ideally at the native or near non-native competence level, with Spanish or Portuguese preferred
• At least two years of experience with spoken natural language applications
• Solid knowledge of core linguistics: semantics, syntax, morphology, phonology, phonetics, discourse, and dialogue
• Experience with rule-based grammars and machine learning for NLP, including LLM and generative AI
• Practical experience with cleaning, manipulating, and analyzing large natural language data sets
• Experience with scripting languages, preferably Python
• Experience creating and adapting database queries in SQL
• Experience with version control and collaborative software development

#LI-SB5

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Detail-oriented IT Project Manager to plan and drive the execution of our company’s IT Portfolio and roadmap using Agile principles and frameworks to foster collaboration, continuous improvement, and efficient delivery. 

• Provide AI project management expertise, guiding teams through emerging technologies and best practices. 

• Champion an AI mindset across projects—leveraging data-driven insights, automation opportunities, and ethical AI practices to enhance delivery and decision-making. 

• Work with minimal or vague data, distilling insights, and crafting compelling executive-level presentations that support key technological decisions and long-term planning 

• Lead project execution status meetings to track progress and identify risks ensuring timely resolution and clear communication 

• Maintain open and transparent communication with internal and external stakeholders, ensuring that everyone is well-informed about project progress and any changes in requirements. 

• Implement robust quality assurance measures to deliver high-quality project outcomes that meet or exceed industry standards. 

• Prepare and present status reports and dashboards for leadership and stakeholders. 

• Provide regular progress reports to senior management, highlighting key achievements, challenges, and upcoming milestones. 

• Emphasize continuous improvement and learning within the project team by facilitating retrospectives and sharing best practices. 

• Facilitate PI (Program Increment) Planning sessions quarterly to align teams and prioritize backlogs. 

Location & Travel Expectations:

• This role will be based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

We expect all Scouts to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring: 

Qualifications: 

• Education: Bachelor’s degree in information technology, Business, or related discipline. 

• Experience: 5+ years of IT project management experience, ideally within a PMO environment and technology-driven organizations. 

• Technical Expertise: Strong knowledge and practical experience with AIdriven project management methodologies, native AI capabilities (including predictive analytics, intelligent automation, and generative AI assistants), and emerging technologies. 

• AI Mindset: Ability to identify opportunities for AI integration, automation, and ethical use of AI in project delivery.  

• Agile Leadership: Demonstrated success in facilitating PI Planning sessions and effectively managing Agile backlogs. 

• Communication & Leadership: Exceptional ability to translate complex concepts into clear options, decisions, and impacts; proven stakeholder management and leadership skills. 

• Tools Proficiency: Advanced skills in Jira, Confluence, Microsoft applications, and reporting dashboards. 

Preferred Skills: 

• Deep understanding of Agile methodologies with strong facilitation skills for collaborative planning sessions. 

• Industry experience in automotive or manufacturing sectors. 

• Familiarity with risk management practices and executive-level reporting frameworks. 

• Background in automotive/EV programs, hardware-software integrated products, or large-scale transformation initiatives. 

• Ability to blend stage-gate and Agile/Lean practices pragmatically to meet project needs. 

• Experience establishing governance structures, portfolio dashboards, and KPI frameworks across multiple teams. 

Technical & Industry Knowledge 

• Comprehensive understanding of enterprise IT applications, integrations, and infrastructure. 

• Expertise in SDLC methodologies (Agile, Scrum, Waterfall, DevOps, Lean) with flexibility to tailor processes to project requirements. 

• Knowledge of automotive IT standards, regulatory requirements, and industry best practices. 

Communication & Leadership 

• Exceptional written and verbal communication and facilitation skills, with the ability to engage with executive leadership and technical teams. 

• Strong collaboration, problem-solving, and stakeholder management skills. 

• Ability to negotiate and influence decision-making in complex IT environments. 

Tools: 

• Proficiency in project management related tools (e.g., Jira, Confluence, SharePoint). 

• Advanced Proficiency in PowerPoint and Excel 

Additional Considerations: 

• Proven ability to scale IT project management functions in fast-paced, high-growth environments. 

• Ability to adapt and thrive in a high-paced, evolving IT environment. 

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Software Engineer in the DMTE team, you’ll contribute to Roku’s platform innovation — implementing and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll tackle performance-critical challenges, ensuring our devices deliver smooth visuals and instant responsiveness at scale. You’ll have the opportunity to learn about core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love technical problem-solving, care about performance, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to learn, grow, and contribute to the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Contribute to technical investigations and solutions for middleware and UI challenges
• Explore integrating AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and learn from experienced developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 3+ years software engineering experience with UI development exposure
• C++ in an embedded environment
• Proficiency in BrightScript (or JavaScript-like) skills plus some experience with Python
• Strong problem-solving and technical communication abilities
• Interest in AI applications and a willingness to learn about generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the Team

The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.

This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.

We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.

About the Role

As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.

You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.

What You’ll Be Doing

• Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production

• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations

• Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders

• Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality

• Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising

• Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services

• Integrating services from other teams around the company, while also providing reusable ML services to others

• Evaluating and providing feedback on new platform technologies provided by internal teams

• Working with QA teams to address bugs and contribute to automation and quality assurance

We’re Excited If You Have

• A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field

• Strong background developing applied machine learning systems using PyTorch or TensorFlow

• Expertise in image processing, computer vision, or natural language processing

• Experience using AWS, GCP, or Azure for storing data, training, and serving models

• Proven ability to evaluate models and communicate insights effectively

• Experience building APIs with frameworks such as GraphQL or REST

• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

• Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools

#LI-PA1

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

About the team

At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.

About the role 

Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally. 

What you'll be doing

• Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
• Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
• Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
• Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
• Write clean, efficient, and maintainable code across frontend and backend services
• Monitor, debug, and resolve issues across the stack to maintain platform reliability.
• Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
• Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.

We're excited if you have

• 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
• In-depth experience with React and relevant toolset/framework ecosystem.
• Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
• Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
• Strong understanding of database systems (SQL and NoSQL). 
• Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
• Ability to decompose complex problems into manageable units of work.
• Excellent problem-solving skills and ability to work in an agile environment.
• Effective communication and collaboration skills.
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
• Experience with customer service platforms or CRM systems is preferred
• Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
• Knowledge of service mesh architectures is preferred
• Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred.

#LI-SJ1

About the role  

Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
 We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.

Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. 

What you'll be doing 

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform 
• Run online AB tests and analyze them against the critical business KPIs 
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications 
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts 
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization 
• Help recruiting new engineers. Interview, train, and mentor new team members 
  
  We're excited if you have 
  
  
• 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads 
• Strong CS fundamentals. Should be able covert ideas to code with ease 
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus 
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)  
• Good understanding of system architecture 
• Experience in big data technologies and streaming architecture, data pipelines, etc. 
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred 
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 

#LI-AK1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• C++ experience in an embedded environment
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.  

What you’ll be doing  

• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies. 

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance. 

• Stay at the forefront of advancements in related areas. 

We’re excited if you have 
 

• BS or higher in CS, ECE or a related field. 

• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies. 

• Excellent communication and collaboration skills. 

Preferred Qualifications: 

• MS or higher CS, ECE or a related field. 

• Experience in the Advertising domain. 

• Contributions to open-source ML projects. 

About the team 

Great user experiences come from people who have the vision to see the big picture while still maintaining an incredible attention to detail. The User Experience team at Roku comprises UX designers, researchers, and writers who work collaboratively with our world-class Product and Engineering teams to meet customer needs for a Roku experience that delivers simplicity and delight. The UX Research sub-team is a tightly knit horizontal resource within the larger UX team at Roku. 

About the role 

This role is dedicated to Roku TV (RTV). You’ll join the team shaping the vision and execution of our TV products and features, ensuring they continue to set the global benchmark for performance and ease of use. 

Roku is hiring an experienced UX Researcher to lead high-impact research across our full TV portfolio. In this role, you’ll deeply understand how people interact with Roku devices and ensure a cohesive, simple experience across partner brands and device tiers. You’ll operate at the crucial intersection of physical hardware and the Roku OS. Your insights will uncover user needs and pain points and directly drive the evolution of new TV experiences - from out-of-the-box setup and hardware performance to picture quality optimization and the future of TV hardware - making a tangible, visible impact across Roku’s most widely used experiences. 

You’ll partner closely with Product Management, Design, and Engineering to align research with technical roadmaps and business priorities, turning insights into decisions that ship. Together, you’ll ensure Roku delivers a simple, delightful entertainment experience that is grounded in user needs and felt across every TV we build.  

For California Only - The estimated annual base salary for this position is between $140,000 - $150,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing 

• Develop, plan, and execute research initiatives in collaboration with UX Research managers, other UX researchers, product managers, leaders at Roku, UX and visual designers, and others 
• Utilize your research insights to influence the selection, definition, and design of product offerings that maximize engagement, leading to high customer retention 
• Collect and analyze user behavior through both generative and evaluative methodologies 
• Effectively present research insights to diverse stakeholder audiences through written reports and presentations 
• Work closely with multiple key stakeholders to identify the problems and business goals that your research will address 
• Be a deeply embedded member of product teams, while also being a strong collaborator on the UX research team 

We’re excited if you have 

• 2 to 3 years' experience as a UX Researcher in industry settings (not including academic experience)
• Experience building with AI (Claude Code, CoPilot, or similar)
• Proven skill with a broad methodological toolkit, including interviews, usability testing, surveys, field studies, diary studies, and quantitative analysis 
• Confidence in selecting the most appropriate methods for a given problem or question 
• Experience collaborating with teams of business leaders, designers, researchers, and product managers throughout the planning and development process 
• Experience gathering and understanding business strategy, and finding the right balance between user and business needs 
• Excellent communication, facilitation, presentation, interpersonal, and analytical skills 
• Experience with mixed methods research 
• Strong project management skills with the ability to define, plan, and lead projects forward 
• Experience in the entertainment field, working with teams producing TV/Movies, is a plus 
• An ability to operate with appropriate guidance: You have experience contributing to and, when appropriate, leading parts of the research approach for whole products, including multi-phase planning; building relationships with stakeholders and including them in the process; and proactively suggesting research needs/methods in partnership with your manager and cross-functional teammates 
• Comfortable with accepting guidance from UX Research managers or senior-level researchers to optimize the research approach, as well as from non-research stakeholders 
• A passion for researching people 

#LI-SB5

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 2263203305

About the Role

We’re hiring a Manager, Product Design to lead the design strategy and execution of Stitch Fix’s core experience, spanning how clients discover, request, receive, and engage with their Fixes, and how stylists deliver personalized styling at scale.

This role reports to the Head of Product Design and sits at the center of the business, with end-to-end ownership across both client and stylist journeys. You’ll define how these experiences evolve together, setting a clear product vision and driving alignment across cross-functional partners.
You’ll guide the work and raise the bar for craft and product thinking, while actively contributing to how key problems are framed and solved. A key part of this role is advancing how we use AI to enhance both sides of the experience. This includes integrating capabilities like Vision AI (our generative style visualization capability) into core journeys, while also enabling stylists with better tools.

You’ll partner closely with Product, Engineering, Algorithms, Merchandising, and Strategy to identify opportunities, prioritize investments, and bring cohesive, high-impact experiences to market. This role requires someone who can operate across strategy and execution, leading through others while also shaping critical work directly.

You're excited about this opportunity because you will…

• Shape the end-to-end experience: Define and drive design strategy across the full client journey, as well as the systems that support stylists
• Advance AI-powered experiences: Integrate AI into core journeys to enable more visual, personalized, and interactive experiences.
• Drive product evolution: Identify and deliver high-impact opportunities that move the experience forward, balancing foundational improvements with new ideas and approaches
• Lead and develop the team: Manage and coach designers, setting a high bar for craft, product thinking, and execution
• Influence cross-functional direction: Shape priorities, align roadmaps, and drive execution in close partnership with cross-functional leaders
   

We’re excited about you because…

• You have 8–12+ years designing consumer products, with 2–4+ years leading teams
• You have extensive experience owning complex, end-to-end product areas in consumer or marketplace environments
• You possess strong product thinking paired with excellent design craft
• You have the ability to define direction in ambiguous, high-impact problem spaces
• You have experience guiding teams while actively shaping work and outcomes
• You are a strong communicator with the ability to influence across teams and levels
• You have experience applying AI, ML and personalization to product experiences

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

We are hiring for Machine Learning Engineering across multiple levels.

Your Location:

This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems

• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products

• Learn and share the latest AI/ML technologies with the team across regions( China and the US). 

Your Expertise:

• PhD/Master’s degree, preferably in CS, or equivalent experience
• 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.  
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
• Fluency in both English and Mandarin is essential.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Your Location:

This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems

• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products

• Learn and share the latest AI/ML technologies with the team across regions( China and the US). 

Your Expertise:

• PhD/Master’s degree, preferably in CS, or equivalent experience
• 2-4 years of ML engineering experience, with ownership responsibility over large-scale software systems. 
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
• Fluency in both English and Mandarin is essential.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Toshiba Global Commerce Solutions is seeking a hands-on Lead Software Engineer to drive end-to-end solution delivery for major retail platforms. 

In this role, you will own hands-on implementation (feature development, technical design, code reviews), engagement leadership (client-facing technical lead, trade-off decisions, mentoring), and operational ownership (delivery sign-off, post-release support) of high-impact solutions, translating business requirements into working software you help build. You will drive Dual-Track Agile processes, contributing to the Discovery Track through rapid prototyping and feasibility validation, and leading the Delivery Track to ensure quality, traceability, and measurable outcomes. 

The ideal candidate is a senior software engineer who codes daily, prototypes proactively, and integrates AI/agent workflows across the software lifecycle—from analysis and design to testing, documentation, and code generation—while bringing the technical leadership to drive client engagements forward. You will mentor teams, make critical technical trade-offs, and take full accountability for delivery sign-off and post-release support. 

This role requires strong retail platform domain knowledge (POS systems, store operations), cloud-native development experience, and fluency with generative and agentic AI tools to accelerate delivery while preserving code quality and architectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative and operationally robust. 

Key Responsibilities 

• Instrument and leverage AI/agentic workflows in your daily development to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle. 

• Apply AI-assisted development practices in your own work, model best practices for the team, and ensure ethical compliance and responsible integration of generative AI tools. 

• Own end-to-end solution delivery across Discovery and Delivery Tracks, personally building validated prototypes, contributing to formal designs, decomposing work into deliverables, and shipping accepted technical implementations. 

• Drive the Discovery Track under Dual-Track Agile by writing working prototypes and demoing solutions to validate feasibility and align stakeholders before full implementation. 

• Translate discovery outcomes into delivery backlog items and partner with implementation teams to ensure design intent, code quality standards, and non-functional requirements are preserved throughout delivery. 

• Contribute to technical design across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices, partnering with architects on broader governance. 

• Serve as the primary technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas. 

• Personally implement critical components and complex features in modern retail platform stacks, set the bar for code quality through your own work, and review and approve deliverables from implementation teams. 

• Apply and reinforce engineering standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions. 

• Mentor and upskill engineers on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices, primarily through pair programming, code reviews, and example-driven leadership. 

• Contribute to platform and product strategy, identifying reusable assets, API-first designs, and technical gaps requiring investment. 

• Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, and compliance constraints. 

Must-Have Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 

• Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation. 

• 8+ years of professional software development experience with current, daily hands-on coding and prototyping in modern technology stacks. 

• 5+ years building cloud-native, microservices, or event-driven systems, with experience in Azure or equivalent cloud platforms. 

• Strong proficiency in technology stacks such as Java/Spring Boot, TypeScript, React/Vue. 

• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects. 

• Track record of building production code, prototypes, and reference implementations to validate solution feasibility. 

• Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL). 

• Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle. 

• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery. 

• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams. 

• Proven leadership in mentoring engineers, conducting thorough code reviews, and championing engineering best practices across teams. 

Preferred Qualifications 

• Strong retail platform domain knowledge (POS systems, store operations) is highly desirable. 

• Certifications such as Azure Developer Associate, Azure Solutions Architect, or equivalent cloud credentials. 

• Strong understanding of advanced security best practices and compliance requirements in enterprise systems. 

• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items. 

• Experience contributing to platform strategy, reusable assets, and API-first designs. 

• Expertise in formal or machine-readable specifications (OpenAPI, UML+OCL, TLA+, or equivalent) to guide implementation and enable automated validation. 

About Toshiba Global Commerce Solutions 
Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader. 

The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy. 
 
Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following: 

• Bonus: Eligible for up to 8% performance-based bonus (individual and company performance) 

• Group health coverage (medical, dental, & vision) 

• Employee Assistance Programs 

• Pre-tax spending accounts 

• 401(k) plan (with company match) 

• Company provided life insurance 

• Pet Insurance 

• Employee discounts 

• Generous paid holiday schedule, paid vacation & sick/personal days 

Compensation:

• Base Salary Range: $140,000-$165,000 
• The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
  • Discretionary Bonus Plan: Eligible for up to 8% annual performance-based bonus (individual and company performance)

 
 
EEO: 
 
Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 
 
Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation 
 
DIVERSITY, EQUITY & INCLUSION: 
 
We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future. 

Toshiba Global Commerce Solutions is seeking a hands-on Senior Software Engineer to lead end-to-end solution delivery for major retail platforms.

In this role, you will own a (design, trade-offs, governance), active implementation (mentoring, code reviews, select hands-on features), and operational ownership (delivery sign-off, post-release support) of high-impact solutions, bridging business requirements to working implementations. You will drive Dual-Track Agile processes, guiding the Discovery Track for clarity and design exploration, and the Delivery Track to ensure quality, traceability, and measurable outcomes.

The ideal candidate combines deep architecture expertise with hands-on coding, practical prototyping, and AI/agent workflow integration across the software lifecycle—from analysis and design to testing, documentation, and code generation. You will mentor teams, make critical technical trade-offs, and take full accountability for delivery sign-off and post-release support.

This role requires strong retail platform domain knowledge (POS systems, store operations), cloud-native architecture experience, and fluency with generative and agentic AI tools to accelerate development while preserving architectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative and operationally robust.

Key Responsibilities

• Instrument and leverage AI/agentic workflows to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle.
• AI-assisted development oversight, ethical compliance, and integration of generative AI tools.
• Own end-to-end solution delivery across Discovery and Delivery Tracks, converting business needs into validated prototypes, formal designs, decomposed deliverables, and accepted technical implementations.
• Lead the Discovery Track under Dual-Track Agile, rapidly prototyping and demoing solutions to validate feasibility and align stakeholders before full implementation.
• Translate discovery outcomes into delivery backlog items, ensuring design intent, architecture standards, and non-functional requirements are preserved throughout implementation.
• Lead architecture design and governance across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices.
• Serve as active technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas.
• Implement and demo reference code or critical components, applying hands-on coding in modern retail platform stacks, reviewing and approving deliverables from implementation teams.
• Define and enforce architecture standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions.
• Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices.
• Contribute to platform and portfolio strategy, identifying reusable assets, API-first designs, and gaps requiring investment.
• Own risk analysis and mitigation for architecture decisions, including backward compatibility, data integrity, and compliance constraints.

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
• 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
• 6+ years designing cloud-native, microservices, or event-driven architectures, with experience in Azure or equivalent cloud platforms.
• Familiarity with technology stack such as Java/Spring Boot, TypeScript, React/Vue
• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
• Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
• Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL).
• Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle.
• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery.
• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
• Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance, promoting best practices across teams.

Preferred Qualifications

• Strong retail platform domain knowledge (POS systems, store operations) is highly desirable.
• Certifications such as Azure Solutions Architect or equivalent cloud credentials.
• Strong understanding of advanced security best practices and compliance requirements in enterprise systems.
• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
• Experience contributing to platform strategy, reusable assets, and API-first designs.
• Expertise in formal or machine-readable specifications (OpenAPI, UML+OCL, TLA+, or equivalent) to guide implementation and enable automated validation.

About Toshiba Global Commerce Solutions

Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader.

The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy.

Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following:

Compensation:

• Base Salary Range: $160,000-200,000
• The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
  • Discretionary Bonus Eligible: Up to 18% Annual performance-based bonus (individual and company performance)

Benefits:

• Group health coverage (medical, dental, & vision)
• Employee Assistance Programs
• Pre-tax spending accounts
• 401(k) plan (with company match)
• Company provided life insurance
• Pet Insurance
• Employee discounts
• Generous paid holiday schedule, paid vacation & sick/personal days

EEO:

Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation

DIVERSITY, EQUITY & INCLUSION:

We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future.

Toshiba Global Commerce Solutions is seeking a hands-on Lead Software Engineer to drive end-to-end solution delivery for major retail platforms. 

In this role, you will own hands-on implementation (feature development, technical design, code reviews), engagement leadership (client-facing technical lead, trade-off decisions, mentoring), and operational ownership (delivery sign-off, post-release support) of high-impact solutions, translating business requirements into working software you help build. You will drive Dual-Track Agile processes, contributing to the Discovery Track through rapid prototyping and feasibility validation, and leading the Delivery Track to ensure quality, traceability, and measurable outcomes. 

The ideal candidate is a senior software engineer who codes daily, prototypes proactively, and integrates AI/agent workflows across the software lifecycle—from analysis and design to testing, documentation, and code generation—while bringing the technical leadership to drive client engagements forward. You will mentor teams, make critical technical trade-offs, and take full accountability for delivery sign-off and post-release support. 

This role requires strong retail platform domain knowledge (POS systems, store operations), cloud-native development experience, and fluency with generative and agentic AI tools to accelerate delivery while preserving code quality and architectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative and operationally robust. 

Key Responsibilities 

• Instrument and leverage AI/agentic workflows in your daily development to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle. 

• Apply AI-assisted development practices in your own work, model best practices for the team, and ensure ethical compliance and responsible integration of generative AI tools. 

• Own end-to-end solution delivery across Discovery and Delivery Tracks, personally building validated prototypes, contributing to formal designs, decomposing work into deliverables, and shipping accepted technical implementations. 

• Drive the Discovery Track under Dual-Track Agile by writing working prototypes and demoing solutions to validate feasibility and align stakeholders before full implementation. 

• Translate discovery outcomes into delivery backlog items and partner with implementation teams to ensure design intent, code quality standards, and non-functional requirements are preserved throughout delivery. 

• Contribute to technical design across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices, partnering with architects on broader governance. 

• Serve as the primary technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas. 

• Personally implement critical components and complex features in modern retail platform stacks, set the bar for code quality through your own work, and review and approve deliverables from implementation teams. 

• Apply and reinforce engineering standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions. 

• Mentor and upskill engineers on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices, primarily through pair programming, code reviews, and example-driven leadership. 

• Contribute to platform and product strategy, identifying reusable assets, API-first designs, and technical gaps requiring investment. 

• Own risk analysis and mitigation for technical decisions, including backward compatibility, data integrity, and compliance constraints. 

Must-Have Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 

• Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation. 

• 8+ years of professional software development experience with current, daily hands-on coding and prototyping in modern technology stacks. 

• 5+ years building cloud-native, microservices, or event-driven systems, with experience in Azure or equivalent cloud platforms. 

• Strong proficiency in technology stacks such as Java/Spring Boot, TypeScript, React/Vue. 

• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects. 

• Track record of building production code, prototypes, and reference implementations to validate solution feasibility. 

• Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL). 

• Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle. 

• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery. 

• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams. 

• Proven leadership in mentoring engineers, conducting thorough code reviews, and championing engineering best practices across teams. 

Preferred Qualifications 

• Strong retail platform domain knowledge (POS systems, store operations) is highly desirable. 

• Certifications such as Azure Developer Associate, Azure Solutions Architect, or equivalent cloud credentials. 

• Strong understanding of advanced security best practices and compliance requirements in enterprise systems. 

• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items. 

• Experience contributing to platform strategy, reusable assets, and API-first designs. 

• Expertise in formal or machine-readable specifications (OpenAPI, UML+OCL, TLA+, or equivalent) to guide implementation and enable automated validation. 

About Toshiba Global Commerce Solutions 
Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader. 

The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy. 
 
Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following: 

• Bonus: Eligible for up to 8% performance-based bonus (individual and company performance) 

• Group health coverage (medical, dental, & vision) 

• Employee Assistance Programs 

• Pre-tax spending accounts 

• 401(k) plan (with company match) 

• Company provided life insurance 

• Pet Insurance 

• Employee discounts 

• Generous paid holiday schedule, paid vacation & sick/personal days 

Compensation:

• Base Salary Range: $140,000-$165,000 
• The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
  • Discretionary Bonus Plan: Eligible for up to 8% annual performance-based bonus (individual and company performance)

 
 
EEO: 
 
Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 
 
Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation 
 
DIVERSITY, EQUITY & INCLUSION: 
 
We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future. 

Toshiba Global Commerce Solutions is seeking a hands-on Senior Software Engineer to lead end-to-end solution delivery for major retail platforms.

In this role, you will own a (design, trade-offs, governance), active implementation (mentoring, code reviews, select hands-on features), and operational ownership (delivery sign-off, post-release support) of high-impact solutions, bridging business requirements to working implementations. You will drive Dual-Track Agile processes, guiding the Discovery Track for clarity and design exploration, and the Delivery Track to ensure quality, traceability, and measurable outcomes.

The ideal candidate combines deep architecture expertise with hands-on coding, practical prototyping, and AI/agent workflow integration across the software lifecycle—from analysis and design to testing, documentation, and code generation. You will mentor teams, make critical technical trade-offs, and take full accountability for delivery sign-off and post-release support.

This role requires strong retail platform domain knowledge (POS systems, store operations), cloud-native architecture experience, and fluency with generative and agentic AI tools to accelerate development while preserving architectural integrity. You will be a key driver of engineering excellence, ensuring solutions are both innovative and operationally robust.

Key Responsibilities

• Instrument and leverage AI/agentic workflows to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle.
• AI-assisted development oversight, ethical compliance, and integration of generative AI tools.
• Own end-to-end solution delivery across Discovery and Delivery Tracks, converting business needs into validated prototypes, formal designs, decomposed deliverables, and accepted technical implementations.
• Lead the Discovery Track under Dual-Track Agile, rapidly prototyping and demoing solutions to validate feasibility and align stakeholders before full implementation.
• Translate discovery outcomes into delivery backlog items, ensuring design intent, architecture standards, and non-functional requirements are preserved throughout implementation.
• Lead architecture design and governance across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices.
• Serve as active technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas.
• Implement and demo reference code or critical components, applying hands-on coding in modern retail platform stacks, reviewing and approving deliverables from implementation teams.
• Define and enforce architecture standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions.
• Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices.
• Contribute to platform and portfolio strategy, identifying reusable assets, API-first designs, and gaps requiring investment.
• Own risk analysis and mitigation for architecture decisions, including backward compatibility, data integrity, and compliance constraints.

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
• 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
• 6+ years designing cloud-native, microservices, or event-driven architectures, with experience in Azure or equivalent cloud platforms.
• Familiarity with technology stack such as Java/Spring Boot, TypeScript, React/Vue
• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
• Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
• Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL).
• Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle.
• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery.
• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
• Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance, promoting best practices across teams.

Preferred Qualifications

• Strong retail platform domain knowledge (POS systems, store operations) is highly desirable.
• Certifications such as Azure Solutions Architect or equivalent cloud credentials.
• Strong understanding of advanced security best practices and compliance requirements in enterprise systems.
• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
• Experience contributing to platform strategy, reusable assets, and API-first designs.
• Expertise in formal or machine-readable specifications (OpenAPI, UML+OCL, TLA+, or equivalent) to guide implementation and enable automated validation.

About Toshiba Global Commerce Solutions

Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader.

The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy.

Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following:

Compensation:

• Base Salary Range: $160,000-200,000
• The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
  • Discretionary Bonus Eligible: Up to 18% Annual performance-based bonus (individual and company performance)

Benefits:

• Group health coverage (medical, dental, & vision)
• Employee Assistance Programs
• Pre-tax spending accounts
• 401(k) plan (with company match)
• Company provided life insurance
• Pet Insurance
• Employee discounts
• Generous paid holiday schedule, paid vacation & sick/personal days

EEO:

Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation

DIVERSITY, EQUITY & INCLUSION:

We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future.

Toshiba Global Commerce Solutions is seeking a hands-on Senior Enterprise Architect to lead end-to-end solution delivery, combining platform development, client engagement, and partner integrations for major retail platform. This role unifies architecture leadership (design, trade-offs, governance), platform building (infrastructure, core capabilities), client solution delivery (discovery, implementation, support), and AI-enabled acceleration to ensure high-quality, scalable, and future-ready solutions.

You will own the complete architecture lifecycle — from discovery and design to delivery and operational readiness — guiding both the Discovery Track (rapid prototyping, feasibility validation, client alignment) and the Delivery Track (production implementation, measurable outcomes) while building the underlying platform capabilities that enable future solutions. The ideal candidate blends deep architecture expertise, software development, client engagement skills, integration experience, and practical use of AI-assisted development tools to accelerate delivery while maintaining architectural integrity and operational excellence.

Key Focus Areas

Platform Infrastructure & Core Capabilities

• Design and implement scalable platform infrastructure to support emerging use cases and product evolution.
• Build and evolve core platform capabilities — APIs, microservices, data pipelines, and shared services.
• Define architecture patterns and frameworks that enable rapid feature development and platform extensibility.
• Lead technical design for new product capabilities as business requirements evolve.

Client Engagement & Solution Delivery

• Own end-to-end solution delivery for client projects, converting business needs into validated architectures and working implementations.
• Lead client-facing architecture activities: facilitate workshops, present technical solutions, drive approvals, and act as subject-matter expert.
• Translate discovery outcomes into structured delivery backlogs that preserve design intent and architecture standards.
• Ensure traceability from business requirements to implemented solutions with full operational accountability.

Product & Partner Integration Architecture

• Own integration architecture design across partner ecosystems — payments, loyalty, inventory, and cloud services.
• Define and enforce integration patterns, API contracts, and data models ensuring interoperability and scalability.
• Establish and maintain partner integration architectures, including authentication, error handling, and versioning strategies.
• Govern solution design and trade-offs with a focus on performance, security, and operational resilience.

Dual-Track Delivery Leadership

• Lead Discovery and Delivery Tracks within Dual-Track Agile — from exploratory prototypes to validated production implementations.
• Drive Discovery Track activities: rapid prototyping, feasibility validation, and stakeholder alignment before full implementation.
• Translate discovery outcomes into delivery backlogs while maintaining architecture quality and non-functional requirements.
• Ensure seamless transition from discovery to delivery with clear design intent and technical specifications.

AI-Enabled Engineering Acceleration

• Apply AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
• Introduce spec-driven and automated validation patterns that improve delivery speed and consistency.
• Coach teams on responsible and practical use of AI to enhance quality and productivity across the software lifecycle.
• Instrument and leverage agentic workflows to accelerate prototyping, code generation, and automated validation.

Hands-On Technical Contribution

• Build production-quality implementations of critical platform components, client solutions, and new infrastructure.
• Lead by example through active coding, prototyping, and technical problem-solving.
• Implement and demo reference code or critical components for both platform capabilities and client solutions.
• Participate in code reviews and hands-on delivery of complex features.
• Work primarily with cloud-native stacks (Java/Spring Boot, TypeScript, React/Vue, Docker/Kubernetes).

Governance, Mentorship & Continuous Improvement

• Define and uphold architecture standards, reusable patterns, and non-functional requirements (security, scalability, observability).
• Mentor engineers and junior architects on design practices, infrastructure patterns, and AI-assisted development.
• Conduct code reviews and enforce architecture governance, promoting best practices across teams.
• Contribute to platform strategy — identifying reusable assets, shared APIs, and infrastructure opportunities.

Key Responsibilities

Architecture & Design

• Lead end-to-end solution architecture across discovery, design, delivery, and operational readiness for both platform and client solutions.
• Design and build new platform infrastructure to support emerging product requirements and use cases.
• Produce and maintain key architectural artifacts: ADRs, interface contracts, data flow diagrams, infrastructure specs, sequencing diagrams, migration/rollback plans, and traceability matrices.
• Define and enforce architecture standards, integration patterns, and non-functional requirements across all solutions.

Platform Development

• Write production code for critical platform features and infrastructure components.
• Build core platform capabilities that enable rapid feature development and solution delivery.
• Establish reusable patterns, shared services, and API-first designs for platform extensibility.

Client Engagement

• Serve as active technical lead in client engagements: facilitate workshops, present solutions, make trade-off decisions.
• Lead Discovery Track activities, rapidly prototyping and validating solutions with stakeholders.
• Drive approvals and alignment across business and technical stakeholders.

Integration & Partnerships

• Establish and maintain partner integration architectures across third-party ecosystems.
• Govern architecture consistency across partner integrations and internal product lines.
• Define authentication strategies (OAuth, SAML, API keys), error handling, and API versioning.

Quality & Governance

• Ensure architecture quality gates and participate in design reviews and release sign-offs.
• Identify and mitigate architecture risks — compatibility, data integrity, scalability, and partner dependencies.
• Own risk analysis and mitigation for architecture decisions, including backward compatibility and compliance constraints.

Continuous Improvement

• Contribute to continuous improvement through reusable patterns, automation, and cross-team alignment.
• Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, and platform best practices.
• Contribute to platform and portfolio strategy, identifying gaps requiring investment and reusable assets.

Qualifications

Must-Have

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
• 5+ years designing cloud-native, microservices, or event-driven architectures (Azure or equivalent cloud platforms).
• Strong experience building platform infrastructure and scalable backend systems.
• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
• Experience with partner integrations — payments, SaaS APIs, loyalty, inventory, or authentication providers.
• Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
• Expertise in API-first design (REST/OpenAPI).
• Experience with relational/non-relational databases (SQL/NoSQL).
• Solid grasp of containerization, CI/CD, and Kubernetes-based delivery pipelines.
• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor).
• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
• Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance.

Preferred

• Strong retail platform domain knowledge (POS systems, store operations, payment processing).
• Certifications such as Azure Solutions Architect, AWS Solutions Architect, or equivalent.
• Experience with API Gateway or Integration Platforms (Azure APIM, Kong, Apigee, MuleSoft, Boomi).
• Solid understanding of API security and compliance (OAuth 2.0/OIDC, JWT, PCI).
• Familiarity with formal specifications (OpenAPI, AsyncAPI, JSON Schema) for contract-driven development.
• Background in distributed systems, microservices architecture, and infrastructure as code.
• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
• Experience contributing to platform strategy, reusable assets, and API-first designs.

We offer:

• Hired directly by Toshiba and 100% under payroll.
• Benefits of the law (IMSS, INFONAVIT, December day voucher, vacation voucher)
• Life insurance, major medical expenses with dental and visual coverage. (For the employee and direct family members).
• Minor medical expenses insurance.
• Savings fund for employees, capped at the limit of the law.
• Grocery coupons. 
• Pension plan.
• 12 days of vacation plus 6 floating days.

EO: Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Amsterdam for our hybrid working model. This candidate would ideally be a Dutch speaker.  

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• [Placeholder for required security clearance]

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426081

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in London for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426207

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Paris for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426224

We're looking for a Senior Manager, Product Lead to lead, grow, and empower a team of product managers building for our AI-powered litigation platform. This role sits at the intersection of product strategy and people leadership and is a great fit for a product leader who cares deeply about craft, is comfortable with technical ambiguity, and has a track record of shipping exceptional enterprise AI products. 

This role will be focused on Everlaw’s Core Discovery product category, which enables legal professionals to quickly understand and act on data at scale with AI-assisted workflows built on principled design, rigorous controls, and deep workflow expertise. In this role, you will act as the voice of the customer within the organization, ensuring products meet customer needs and expectations, and will engage directly with customers and industry stakeholders to gather insights and validate product concepts.

At Everlaw, our mission is to promote justice by illuminating truth. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! 

We do not believe in the ‘perfect’ candidate. If you’re passionate about the role and feel you can contribute meaningfully, we encourage you to apply. This is a full-time position based in our Oakland, California office, with a hybrid schedule: in-office Monday, Wednesday, and Thursday.

How we're different

• Built for the AI Era: Everlaw has been committed to AI-assisted workflows for over a decade with tools like predictive coding and document clustering. We’ve continued this leadership into the generative AI era, with best-in-class features like Deep Dive and Coding Suggestions. We don’t layer AI onto our product - we architect intelligent, trustworthy systems grounded in enduring trust that deliver value to users every day. 
• Culture and Growth at the Forefront: With a generous L&D budget, clearly codified values, and a commitment to long-term thinking, integrity and discipline, we create an environment where careers grow with intention and purpose.
• Thoughtful Onboarding: Our structured onboarding program ensures you understand our product, customers, and market and quickly integrates you into the team, setting you up to contribute thoughtfully from day one. 
• Impact That Matters: Through Everlaw for Good, we offer our technology free or at heavily discounted rates to journalists, nonprofits, and pro bono attorneys to advance equitable access to justice beyond the boundaries of business.

In your role, you'll...

• Lead Product Strategy, Vision & Execution: Work with your team to define and own a multi-year strategy and roadmap aligned with company priorities and customer needs. 
• Build a First-Class AI Product Experience: Guide PMs in ensuring our AI feature set is best in class for the dynamically evolving legal AI space. You’ll develop a deep understanding of the market, competitive landscape, and user behavior to inform prioritization decisions. 
• Develop Product Talent: Lead and elevate a team of 3–6 product managers, fostering a culture of sharp analytical thinking and product excellence. Drive their success through clear feedback, mentorship and bespoke growth plans, while employing a consistent strategy for long-term career development.
• Elevate Product Craft: Model disciplined, critical use of AI across the full product development lifecycle, and develop AI-augmented ways of working with clear norms around when and how to soundly incorporate AI-generated output into the final work product. 
• Scale and Drive Team Accountability: Grow the team through intentional hiring and operational refinement, while setting clear expectations and upholding our values and behavioral standards. Drive high performance and accountability, connecting work to the company vision and ensuring every PM is empowered to deliver measurable impact. 
• Drive Cross-Functional Excellence: Partner with the design team to ensure user experience is a first-class citizen. Shepherd product development and enable go-to-market teams so they're armed to tell the right story and support customers with confidence. Identify R&D-wide process gaps and lead execution of improvements.
• Model People Leadership: Lead, motivate and influence others across your team and the business. You’ll serve as a senior PM stakeholder in leadership forums, business reviews, and executive presentations. You will drive cross-functional collaboration, and foster an inclusive environment where diverse perspectives are valued.

About you

Required Experience 

• 7+ years of product management experience 
• 3+ years managing teams of product managers
• Proven track record of defining product strategy and connecting it to measurable business outcomes
• Strong analytical skills and the ability to leverage data to uncover underlying business drivers and translate raw insights into strategic, timely product decisions
• Experience shipping products at scale in a fast-paced environment for sophisticated users and complex workflows (enterprise, B2B SaaS, data-heavy, or regulated domains)
• Experience building or managing ML or LLM-powered products, with a nuanced view of where AI genuinely compounds value for customers 
• Excellent people and project management skills; process-driven with the ability to communicate complex concepts and drive teams toward a shared vision
• A strategic leader with a deep obsession for product craft and detail 

Work Authorization

• You are authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas for this role.

Total Rewards

• The expected salary range for this role is between $217,000 - 275,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Participation in our equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision insurance
• HSAs and FSAs for various expenses
• Company-sponsored life and disability insurance
• Paid parental leave and sick leave
• 17 paid vacation days plus 11 federal holidays
• Access to mental health and wellness resources like membership to Modern Health
• A generous L&D stipend for your personal growth
• Find out more about our Benefits and Perks

Perks

• A beautiful office in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
• Flexible work-from-home days on Tuesdays and Fridays
• Monthly home internet reimbursement
• Ability to select your hardware of choice (Mac or PC) and customize your desk setup
• A wide variety of snacks and beverages in the office
• Company-wide out-of-the-box events and fun activities with your team
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Learning and career development opportunities (and a generous budget!)
• #LI-KP1
• #LI-Hybrid

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Position Title: Corporates Ratings - Associate Director (New York / Chicago) 

Entity: Kroll Bond Rating Agency, LLC

Employment Type: Full-Time

Location: New York, New York; Chicago, Illinois 

Summary/Overview:

KBRA (Kroll Bond Rating Agency, LLC) is seeking an Associate Director to join our growing our Corporates Ratings team with a focus on conducting fundamental credit analysis and research across a wide range of sectors.

The Associate Director will work in a highly collaborative team that liaises with internal and external stakeholders to produce high quality and timely corporate credit opinions. The Associate Director will also help conduct credit research on a variety of industrial sectors, including analyzing and publishing trends, key rating factors, and evolving credit metrics. This individual will have significant interaction with senior management of corporate issuers, and their advisors. This position is based in our New York or Chicago office.

Job Responsibilities:

• Lead the credit rating process by preparing internal credit memos, analyzing cash flows, performing sector analysis, and publishing credit reports.
• Author sector research for investors and lenders across private credit, direct lending, and public debt markets.
• Assist in the development and evolution of rating processes and analytical tools.
• Participate in issuer and investor meetings to explain KBRA methodologies and demonstrate understanding of industry trends.

Key Job Qualifications:

Flourish in a fast-paced, deadline driven environment.  Effectively collaborate with your team members and are motivated to succeed and continually strive for consistency, accuracy and timeliness.

You will be successful in this role if you:

• Bachelor’s degree in finance, accounting, economics or management or any subject that prepared you to be a thoughtful qualitative and quantitative analyst and a strong writer. Master’s degree and/or CFA are preferred.
• A minimum of five (5) or more years of work experience performing credit analysis within Corporates in a rating agency, buy-side, sell-side, banking, or other similar environment within a bank or other financial institution.  Prior fundamental credit training (including financial statement analysis) is preferred.
• Conduct due diligence and interact with clients as part of the rating process.
• Possess a solid understanding of capital markets and relevant experience in credit, fixed income research or capital markets.
• Experience with corporate financial statements including 10-Ks, 10-Qs. 
• Work as an integral part of a team and across disciplines in a challenging and dynamic environment.
• Manage time and resources in a fast-growing company.
• Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.
• Excellent communication (verbal and written) skills.
• Strong quantitative skills including advanced capabilities with Excel and proficiency in financial statement analysis.
• Ability to work, lead, and seamlessly integrate in a highly collegial, dynamic, and innovative work environment.

Salary Range:

The anticipated annual base salary range for this full-time position is $120,000 to $150,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

KBRA Benefits

• A hybrid work schedule (Tuesday, Wednesday and Thursdays in the office)
• Competitive benefits and paid time off
• Paid family and disability leave
• 401(k) plan, including employer match (100% vested)
• Educational and professional development financial assistance
• Employee referral bonus program

About Us:

Kroll Bond Rating Agency, LLC (KBRA) is a full-service credit rating agency registered with the U.S. Securities and Exchange Commission as an NRSRO. Kroll Bond Rating Agency Europe Limited is registered as a CRA with the European Securities and Markets Authority. Kroll Bond Rating Agency UK Limited is registered as a CRA with the UK Financial Conduct Authority pursuant to the Temporary Registration Regime. In addition, KBRA is designated as a designated rating organization by the Ontario Securities Commission for issuers of asset-backed securities to file a short form prospectus or shelf prospectus. KBRA is also recognized by the National Association of Insurance Commissioners as a Credit Rating Provider.

More Info

KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.

#LI-DG1

#LI-HYBRID

Position Title: ABS Surveillance Data Entry – Analyst (NY)

Entity: Kroll Bond Rating Agency, LLC

Employment Type: Full-time

Location: New York, New York

Summary/Overview:

KBRA (Kroll Bond Rating Agency) is seeking an analyst to join our Asset-Backed Securities (ABS) team in the New York, NY office. This individual will be responsible for monthly data input and other tasks associated with the surveillance of ABS sectors such as whole business, solar, aircraft, railcar leases, auto loans, consumer loans, credit cards, home improvement loans, and/or solar loans.

About the Job:

• Perform timely entry of data from monthly deal reports into excel spreadsheets and KBRA’s proprietary system. 
• Identify anomalies in the deal data and promptly alert the appropriate analysts.
• Engage in ongoing surveillance of rated transactions and assist in the preparation of surveillance credit memoranda and reports used for rating committees and publications.
• Manage a list of the sources of the monthly deal reports.

You will be successful in this role if you have:

• B.A. / B.S. degree.
• 0-2 years of business experience within Financial Services.
• Strong Excel skills are critical for this position.
• Exceptional attention to detail.
• Ability to take initiative, work independently, and work closely with partners in a collaborative environment. 
• Experience using financial modeling software (e.g. Intex) a plus.
• Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.

Salary Range:

The anticipated annual base salary range for this full-time position is $70,000 to $85,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

Benefits:

• A hybrid work schedule (Tuesday, Wednesday, Thursday in the office)
• Competitive benefits and paid time off
• Paid family and disability leave
• 401(k) plan, including employer match (100% vested)
• Employee referral bonus program

About Us:

Kroll Bond Rating Agency, LLC (KBRA) is a full-service credit rating agency registered with the U.S. Securities and Exchange Commission as an NRSRO. Kroll Bond Rating Agency Europe Limited is registered as a CRA with the European Securities and Markets Authority. Kroll Bond Rating Agency UK Limited is registered as a CRA with the UK Financial Conduct Authority pursuant to the Temporary Registration Regime. In addition, KBRA is designated as a designated rating organization by the Ontario Securities Commission for issuers of asset-backed securities to file a short form prospectus or shelf prospectus. KBRA is also recognized by the National Association of Insurance Commissioners as a Credit Rating Provider.

More Info:

KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.

#LI-DG1

#LI-HYBRID

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms.

You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives.

What You Will Do

• Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services.
• Lead technical design reviews, enforce security best practices, and ensure system reliability and performance.
• Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM).
• Design and implement API security patterns and API authorization at scale for microservices and service mesh environments.
• Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly.
• Write and review code, unblock complex technical challenges, and make critical architectural decisions.
• Champion secure SDLC practices, cryptography standards, and compliance requirements.
• Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related technical field.
• 8 years of professional software development and security engineering experience.
• Proven experience designing and developing large-scale distributed systems.
• Strong knowledge of security architecture

Preferred Qualifications

• Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments.
• Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment.
• Familiarity with Generative AI integration and responsible implementation of LLM-based workflows.
• Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks.
• Ability to influence technical direction and mentor engineers in security best practices.
• Proven track record of delivering mission-critical, scalable systems in production at enterprise scale.
• Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS).
• 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems.
• Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle
• 7+ years of coding experience, specifically in Java.
• Strong knowledge of security architecture, authentication/authorization, and cryptographic principles.
• Hands-on experience in building large-scale serving and data infrastructure.
• Experience with service-oriented architecture and web application/services development
• Practical experience in utilizing AWS (Amazon Web Services).
• Experience in designing and constructing machine learning-based applications and systems.
• Experience in leading cross-team system design and execution.

Pay & Benefits   

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits  

• Medical/Dental/Vision/Life, AD&D insurance  
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station 

General Description of Other Compensation

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.  

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0067878

Position Summary

Arkose Labs is the leading proactive fraud deterrence provider. Our Arkose Titan platform protects the world’s most security-conscious brands from bots, AI-powered attacks, credential stuffing, account takeover, and human fraud networks through a unified platform encompassing bot management, device intelligence, email intelligence, phishing protection, and scraping defense.

We are seeking a Senior Director of Marketing with a singular focus: pipeline generation and conversion. This role is the engine room of Arkose Labs’ go-to-market motion. You will own the demand generation function end to end, building and optimizing the programs, systems, and processes that create pipeline, accelerate deals, and convert opportunities to revenue.

This is a hands-on, execution-heavy leadership role for someone who lives in the data, obsesses over conversion rates at every funnel stage, and views AI-powered tools as force multipliers for a lean, high-performing team. You must bring strong domain credibility in cybersecurity, fraud prevention, or digital trust to build campaigns that resonate with technical buyers and security leaders.

Key Responsibilities

Demand Generation and Pipeline Ownership (Primary Focus - 60%)

• Own the pipeline number. Directly accountable for marketing-sourced pipeline creation, progression, velocity, and conversion to closed-won revenue against quarterly and annual targets. This is a hands-on, execution-heavy leadership role for someone who lives in the data, obsesses over conversion rates at every funnel stage, and views AI-powered tools as force multipliers for a lean, high-performing team.
• Build, execute, and continuously optimize a full-funnel demand generation engine spanning inbound, outbound, ABM, paid media, content syndication, email nurture, and partner-driven programs.
• Design and operate a metrics-driven ABM strategy targeting enterprise accounts across Arkose Labs’ core verticals: financial services, gaming, social media, technology platforms, retail, travel, and telecom.
• Own the marketing-to-sales handoff process, including MQL/SQL definitions, SLA frameworks, lead scoring models, and shared funnel accountability with Sales.
• Analyze pipeline data daily and weekly to identify conversion bottlenecks, underperforming programs, and acceleration opportunities. Act on insights with urgency.
• Develop and execute integrated GTM programs with IaaS partners (AWS, Azure, GCP) and strategic alliances focused on pipeline contribution.
• Architect and maintain a full-funnel attribution model that clearly connects every marketing dollar to pipeline and revenue outcomes.
• Own campaign ROI measurement end to end, from budget allocation and program design through post-campaign analysis. Every dollar of marketing spend should have a clear hypothesis going in and a performance verdict coming out.

Marketing Technology Stack Ownership (included in the 60% above)

• Own and operate the full marketing technology stack: MAP (Marketo), CRM and marketing leads/campaigns (Salesforce), lead-to-account matching and routing (LeanData), ABM and intent platforms (Demandbase, Bombora), data enrichment (Clay), and analytics/revenue attribution (HockeyStack).
• Accountable for integration quality, data hygiene, and stack ROI. This is not platform administration; it is strategic ownership of what to add, consolidate, or retire to maximize pipeline impact.

AI-Powered Demand Generation (20%)

• Deploy and manage AI-powered tools across the demand generation stack: intent-signal platforms (Bombora, 6sense, or similar), predictive lead scoring, AI SDRs, conversation intelligence, content personalization engines, data enrichment and outreach automation (Clay), and AI writing and research assistants (Claude).
• Use AI and machine learning to improve audience segmentation, campaign targeting, bid optimization, and real-time campaign adjustments.
• Implement AI-assisted content workflows to scale personalized nurture sequences, SEO content, and ABM creative without proportional headcount.
• Evaluate emerging AI tools (autonomous campaign optimization, generative content at scale, AI-driven analytics) and bring a clear investment vs. experimentation framework.

Team Leadership and Cross-Functional Alignment (20%)

• Lead and develop a team spanning demand generation, content, global events, and customer marketing with a pipeline-first operating model.
• Partner closely with Sales leadership on pipeline reviews, campaign alignment, account targeting, and win/loss analysis.
• Collaborate with product marketing (within the product organization) to ensure messaging, competitive positioning, and launch programs drive pipeline.
• Build a culture of accountability, experimentation, and velocity. Every program should have a pipeline hypothesis, measurement plan, and optimization cadence.
• Report on pipeline metrics to executive leadership on a weekly and monthly cadence with clear analysis and action plans.

Qualifications

Domain Expertise

• Demonstrated experience marketing cybersecurity, fraud prevention, bot management, digital identity, account security, or trust and safety solutions to enterprise buyers.
• Fluency in the personas and buying processes of CISOs, VP/Director of Fraud, trust and safety leaders, and IT security decision-makers.
• Ability to translate technical security concepts (bot detection, credential stuffing, account takeover, agentic AI threats) into compelling demand generation campaigns.
• Understanding of the competitive landscape in bot management, fraud deterrence, and emerging AI security categories.

Demand Generation Expertise 

• 8+ years of B2B marketing experience with at least 3-5 years leading demand generation at high-growth enterprise technology or cybersecurity companies.
• Proven, quantifiable track record of owning pipeline targets and delivering marketing-sourced and marketing-influenced revenue. Bring the numbers.
• Deep hands-on expertise with ABM platforms, intent-data tools, marketing automation (Marketo, HubSpot, or similar), CRM (Salesforce), and full-funnel attribution.
• Demonstrated fluency deploying AI-powered marketing tools with measurable pipeline impact.
• Experience building demand programs that sell into large enterprises with complex, multi-stakeholder, 6-12+ month buying processes.
• Strong analytical skills with the ability to build dashboards, interpret pipeline data, and translate insights into campaign action.

Leadership and Execution

• Hands-on leader who operates with urgency and is comfortable building programs, not just managing them.
• Known for elevating team performance and developing talent in place rather than defaulting to headcount growth.
• Strong communicator who can translate pipeline data into clear narratives for executive leadership, presenting program performance, funnel trends, and investment recommendations with confidence and clarity.
• Skilled at coordinating with Sales at all levels—from leadership to individual contributors—to ensure shared pipeline mentality, aligned account targeting, and consistent funnel accountability.
• Bachelor’s degree required; MBA or equivalent experience preferred.

Why Arkose Labs?

At Arkose Labs, you aren’t just defending a perimeter; you’re part of a visionary team disrupting organized fraud networks like Storm-1152. We are consistently recognized for excellence in both our technology and our workplace culture:

• Award-Winning Culture & Design: Beyond being a Best Workplace for Innovators, our Phishing Protection was a 2025 Fast Company Innovation by Design honoree.
• Proven Technology & Trust: We offer the world’s first $1M warranties for credential stuffing and SMS toll fraud, trusted by 20% of the Fortune 500.
• Market Leadership: Recognized by G2 as the 2025 Leader in Bot Detection and Mitigation with the highest score in customer satisfaction.
• Continuous Innovation: We foster a culture that prioritizes technological breakthroughs, ensuring we stay ahead of adversaries in an AI-driven threat landscape.
• Experienced Leadership: Guided by seasoned executives with a proven history of driving successful growth and equity events.
• Agile & Impactful: Large enough to provide global stability, yet small enough that your voice directly shapes our future.

Our Values

• People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do.
• Team Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another
• Customer Focus. We empathize with our customers and obsess about solving their problems
• Execution with precision, professionalism and urgency
• Security. It’s the lens through which we implement our processes, procedures, and programs

Benefits:

• Competitive salary + Equity
• 401k plan 
• Robust benefits package- 85% medical, dental, vision coverage for employees and 75% for dependents
• Flexible PTO
• Life insurance coverage
• Short and Long Term Disability Insurance paid by the company
• Generous nationwide parental leave policy
• Amazing discounts program 
• Wellbeing package including mental health and gym discounts
• Flexible working hours to support personal well-being and mental health
• Employee Assistance Program

Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities.

#LI-Director #LI-Remote

Role

We are looking for a Senior Solutions Consultant - AI Security to join our Sales and Go-to-Market team. This is a remote role based in the US, reporting to the Director of Solutions Consulting - AI Security. The Zscaler Sales and Go-to-Market team is a global group of professionals passionate about delighting customers and sharing expertise to drive a secure, cloud-enabled digital future. As a key technical partner, you will demonstrate the power and agility of Zscaler cloud transformation to cement our position as the world leader in cloud security.

What you’ll do (Role Expectations)

• Drive business growth by partnering with Account Executives to deliver compelling product demonstrations and presentations

• Plan, execute, and deliver Proof of Concept (POC) and Proof of Value (POV) projects demonstrating product capabilities and business ROI

• Form lasting customer relationships to ensure success, facilitate smooth onboarding, and cultivate Zscaler product champions

• Act as the voice of the customer by channeling insights to the development team to shape the product roadmap and feature scoping

• Maintain expert-level knowledge of Zscaler offerings, developing business value propositions, and monitoring competitor products

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Proven experience in a customer-facing technical role such as sales engineering or consulting

• Knowledgeable in Generative AI, cybersecurity, data science or adjacent technical domains

• Excellent communication skills for both technical deep-dives and clear executive briefings

• Proven ability in solving complex technical challenges and effectively managing multiple projects simultaneously

• BSc in Computer Engineering, Computer Science, or equivalent experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Python or TypeScript and utilizing REST APIs with tools like cURL and Postman

• AI red teaming experience, agentic system development, or MCP server experience

• Familiarity in major cloud platforms: AWS, Azure, or GCP

#LI-AA5 #LI-Remote

What You’ll Do

Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung’s advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks.

Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

AI System Architecture Leadership

• Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems).
• Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale.
• Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions.
• Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations.

RISC‑V CPU Architecture Leadership

• Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems.
• Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis.
• Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution.

Research & Innovation Management

• Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications.
• Present architectural insights and strategic recommendations to senior leadership and external partners.

What You Bring

• Education: Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Experience: 10 + years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads.
• Technical Expertise:
  • Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems.
  • Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration.
  • Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints.
  • Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design.
  • Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis.
  • Expertise in architecture and micro‑architecture design of out‑of‑order CPUs.
  • Hands‑on experience with simulation tools and programming languages such as Python and C++.
• Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. 

Preferred Experience

• Proven track record of publishing high‑impact research papers.
• Experience influencing product roadmaps through architectural recommendations.
• Strong collaborative history with cross‑functional teams (hardware, software, memory technology). 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-SF1

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 

As An Active Member Of Our Team, You Will...

• Work with the product engineering teams to prototype and experiment with new AI features
• Work across backend, frontend, and interact with LLMs and/or other ML models
• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
• Stay up-to-date with the latest AI technologies and trends
• Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Bachelor's degree in CS/EE with 6+ years of industry experience
• Ability to problem solve from first principles and maintain focus on overarching objectives
• Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
• Experience as an AI/ML Engineer
• Experience with ML Ops
• Experience with Typescript/JavaScript and either Node or React

Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

POSITION SUMMARY:

Join Natera’s Therapeutics & Innovations group as a Senior Agentic Systems Engineer to build Artificial Intelligence (AI) orchestration platforms. You will design, scale, and deploy generative AI (GenAI) and Large Language Model (LLM) agentic systems that leverage our multimodal data to advance therapeutic development. Every sample and data point represents a real person, and the data foundations you build will directly support clinical insights and scientific innovation. As the platform matures, you will own cross-product agent integration and the development of new specialist tools.

PRIMARY RESPONSIBILITIES:

• Architect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces
• Design and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools
• Implement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access
• Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data
• Think team by partnering directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers
• Own and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook
• Use data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment
• Write precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought

QUALIFICATIONS:

• BS/MS in Computer Science or a related field
• 5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure

KNOWLEDGE, SKILLS, AND ABILITIES:

• Advanced proficiency in Python, writing maintainable, production-quality code
• Direct experience building AI agentic systems in production, including tool calling, multi-agent orchestration, or autonomous task execution
• Deep familiarity with the generative AI ecosystem, including Large Language Models (LLM), orchestration frameworks, MCP, memory strategies, and execution sandboxing
• Hands-on experience with AWS cloud infrastructure, containerized services, and Infrastructure as Code (Terraform)
• Clear understanding of security and isolation in environments where AI agents execute code or access sensitive, regulated data
• Ability to articulate technical tradeoffs clearly to cross-functional stakeholders using data
• Operate with a 'build vs. buy' mindset to scale capabilities rapidly without compromising on precision
• Background in biotech, healthcare, or regulated multi-tenant data environments is preferred

Responsibilities

• Support, administer, maintain IT systems supporting Quality and R&D, including Veeva Vault Quality, Clinical, RIM and Safety systems.
• Lead and oversee the migration of data and processes from legacy systems to Veeva (e.g., ZenQMS to Veeva Vault Quality) to ensure seamless transition, data integrity, and GxP compliance
• Partner with business leaders to understand their requirements and continuously improve user adoption and implement new systems, integrations, and GxP compliance initiatives
• Partner with Quality, Clinical, Regulatory, and Safety leaders to support business needs, implement roadmaps, identify, recommend solutions (e.g., Artificial Intelligence (AI)) to drive business value and accelerate innovation
• Work with Managed Service providers and internal IT teams for supporting and monitoring GxP-regulated systems to ensure high-quality service delivery
• Collaborate with CSV QA and compliance functions to validate and ensure alignment with regulatory requirements (e.g., GxP, HIPAA, GDPR)
• Establish governance, documentation, and change control procedures for GxP systems to ensure sustained compliance and operational excellence.
• Drive continuous improvement across the GxP systems landscape by assessing emerging technologies (e.g., AI) and optimizing workflows that support BridgeBio’s business strategy.

Where You’ll Work

• This is a local role and will require minimum 2 days in our San Francisco office. 

Who You Are

• Bachelor’s degree in information technology, Computer Science, Business Administration, or related field; advanced degree preferred
• 7+ years of progressive IT experience within biotech/pharma, including at least 5 years supporting Veeva Quality systems
• Demonstrated expertise in GxP Quality processes, including document lifecycle management, training assignment and compliance tracking, deviation, CAPA, and change control workflows, and inspection readiness. Ability to partner with Quality stakeholders to design, configure, and continuously improve Veeva Vault QualityDocs,
• QMS, and Training solutions in alignment with regulatory expectations (e.g., FDA, EMA) and company SOPs
• Hands-on experience administering and supporting Veeva Vault Quality systems including RIM, Safety and eTMF is strongly preferred
• Experience applying AI/ML and generative AI solutions within GxP environments to improve Quality operations, including use cases such as intelligent document authoring, metadata extraction, quality event trend analysis, and training effectiveness insights, with a strong focus on validation, auditability, data privacy, and integration with Veeva Vault platforms.
• Skilled in leading cross-functional collaboration across Quality, Clinical, Regulatory, and DSPV teams to ensure system alignment and process harmonization
• Experienced in vendor and Managed Service Provider oversight to ensure reliable, compliant, and high-quality system performance
• Strong communication, leadership, and stakeholder management skills with the ability to translate technical concepts into business outcomes

Clover is building a next-generation financial intelligence capability that combines deep healthcare domain expertise with advanced AI/ML. We are seeking a high-level technical leader to serve as a strategic bridge across the enterprise—partnering with Actuarial, Payment Integrity, Product, Finance, and Medical Economics to optimize enterprise performance.
We are looking for a practitioner with a strong foundation in health insurance economics and government programs (Medicare Advantage, Medicaid, or ACA), who can apply AI/ML to the complex financial and operational levers that drive payer success.

The Role: Strategic Cross-Functional Leadership
In this role, you will act as a technical engine for Clover’s financial strategy. Rather than working in a silo, you will serve as a high-level lead, providing the AI/ML direction and technical support necessary to empower various disciplines across the organization. You will be the connective tissue between raw data and enterprise-level strategy, helping diverse teams identify financial risks, improve revenue accuracy, and build the analytical frameworks required to forecast and intervene with precision.

• Lead AI Strategy for Financial Performance: Design and deploy high-impact AI/ML models that identify financial risks and opportunities across payer operations.
• Support Payment Integrity & FWA: Partner with the PI team to enhance in-house pre- and post-payment claims detection. Use ML, anomaly detection, and graph-based approaches to help teams identify billing irregularities and automate FWA detection.
• Advance Revenue Integrity: Create predictive solutions to improve revenue accuracy and integrity, including models for encounter quality and related financial data streams.
• Support Medical Cost Analysis: Build the tooling and models that help Actuarial and Medical Economics teams identify anomalies, unusual utilization patterns, or provider behavior shifts, providing the analytical backbone for precise intervention.
• Bridge Domain & Production: Operate as a hands-on leader who can frame ambiguous business questions from various stakeholders, connect them to underlying payer economics, and turn them into production-ready solutions.

• You have 5+ years of experience in a highly quantitative, hands-on role (Actuarial Science, Healthcare Data Science, or ML Engineering) with a track record of shipping production-grade analytical or AI solutions.
• You possess Government Programs Exposure: Direct experience or exposure to health insurance economics, claims, and risk adjustment within Medicare Advantage, Medicaid, or ACA/Marketplace environments.
• You have Modern AI Experience: Experience with LLMs or Generative AI in healthcare or insurance workflows, particularly where explainability, auditability, and operational adoption are critical.
• You are Technically Fluent: High proficiency in Python and SQL, with practical experience developing, deploying, and maintaining AI models in an operational environment.
• You possess Business Intuition: You understand the "why" behind the numbers—you can connect a data anomaly to its underlying financial or actuarial impact without needing a translator.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

#LI-Remote

You don't just demo software, you change how people think about what's possible. If you want to be the person in the room who makes engineers lean forward and executives say "when can we start," read on.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations chat, voice, video, messaging APIs and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI first customer experience. By February 2025, we'd launched our AI agent for enterprise CX built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel chat, SMS, email, voice, WhatsApp without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Sales Engineer

AI is reshaping how enterprises think about customer communication. Sophisticated buyers no longer just want to know if our platform works. They want to know if it works for them, at their scale, inside their architecture, with their team.

We're at an inflection point: a decade of conversation infrastructure, now with AI on top, and a pipeline of buyers who need a technical partner, not a pitch deck. The Sales Engineers who thrive here earn trust from a principal engineer and a VP of Product in the same meeting, and use AI natively to work faster, demo smarter, and operate at a scale a traditional SE simply couldn't.

The Role

You own the technical sales cycle, from discovery through solution design to close, turning complex customer problems into confident reasons to choose Sendbird. You thrive at the intersection of technical depth and business impact, know the difference between a demo that informs and one that inspires, and use AI natively to move faster and do more than a traditional SE could alone. This is a hybrid role based in our San Mateo office (3 days/week). This role reports to the Global Head of Technical Services, based in San Mateo, CA

You might be this person if:

• Mapping a customer's architecture is a puzzle to solve, not a box to check, and you've already spun up a Claude Project or n8n workflow to automate the research before the call ends.
• You read a room fast, shifting depth and language on the fly between a skeptical backend engineer and a time pressed CTO.
• Your demos tell a story. You don't walk through features, you show people a future they hadn't imagined, using AI powered prototypes and agentic tools to make it land.
• You build Claude Projects, custom GPTs, and agentic workflows for your team out of genuine curiosity, not because your job requires it.
• You treat every discovery call like a research project, backed by AI-assisted prep agents and follow-up automations in Make or n8n so the repetitive work runs without you.
• You figure out what the customer needs before they tell you, propose the architecture, and ship it. If a bespoke dashboard or Claude-powered automation would close the deal, you build it.
• You're energized by multiple complex deals at once, partly because AI agents and workflow automation have eliminated the parts that don't require you.

You need to have:

• 3+ years in Sales Engineering (pre-sales) at a developer-focused platform SaaS and/or CPaaS company
• Bachelor's degree (CS, EE) or equivalent combination of education and experience
• Hands-on fluency with RESTful APIs, mobile SDKs, and integration workflows, with a clear understanding of how modern customer engagement workflows are built and scaled
• Working knowledge of at least one development environment (JavaScript/React, iOS/Swift, Android/Kotlin, Unity, React Native, or Flutter)
• Practical experience with generative AI concepts including LLMs, AI agents, and agentic workflows. You've built with these tools, not just read about them
• Familiarity with AI tooling such as Claude or ChatGPT, and automation platforms such as Make, Zapier, or n8n. Experience stringing together APIs or building lightweight automations is a strong plus
• Confidence navigating security and compliance conversations (SOC 2, ISO-27001/42001, HIPAA, GDPR) with technical and non-technical stakeholders
• Strong written and verbal communication in English
• Ability to travel for customer onsite visits

What you'll actually do:

• Own the technical narrative across the full deal cycle, from discovery calls and technical deep dives to executive presentations, alongside Account Executives at every stage.
• Run structured discovery with engineers, product managers, and architects to surface real pain points and map them to Sendbird's APIs, SDKs, and AI agent capabilities, using AI-assisted prep workflows to come in sharper every time.
• Design solution architectures tailored to each customer's stack and goals, whether they're building an AI-powered in-app chat experience, deploying an AI support agent, or scaling to millions of users.
• Build and deliver demos that go beyond feature walkthroughs, using agentic tools and custom prototypes to show customers what their product could actually become with Sendbird underneath it.
• Automate repeatable pre-sales work, including lead research, follow-up summaries, and demo environment setup, using tools like Claude, Make, or n8n, freeing you for the work AI can't do.
• Articulate Sendbird's security and compliance posture clearly and confidently, helping enterprise buyers navigate procurement.
• Work closely with Product and Engineering to feed pre-sales insights back into the roadmap, serving as a direct line between the market and the people building the product.
• Track emerging trends in AI agents, developer tooling, and communication infrastructure, and bring those insights into customer conversations.

What we offer:

We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.

• Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
• Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
• $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
• Parental leave for all new parents. Time to be present for the moments that matter most.
• 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
• HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
• Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.

Pay Transparency

For cash compensation, we set standard ranges for all roles based on function, level, and geographic location.  To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies.   A reasonable estimate of the current salary range for this role is $200,000.00 - $235,000.00.  This range is specific to the San Francisco Bay market.  We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.

Flexible Work Policy

We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We just made one of the boldest pivots in our company's history and we're already seeing it pay off. If you want to sell something that's genuinely changing how enterprises think about AI and customer experience, this is it. You'll have real ownership, real access to leadership, and real impact on how we win. We move fast. We build things that matter. Come help us close the deals that define what delight.ai becomes.

Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About the Role

As a Principal Software Engineer, you'll lead architectural decisions, write code, and solve complex technical problems while driving collaboration across teams to ensure successful outcomes. You'll be a mentor and thought leader, flexing between hands-on coding and high-level strategic leadership. Crucially, you will spearhead our AI transformation, driving the integration of artificial intelligence into our product features and revolutionizing our engineering workflows. If you're passionate about setting technical standards, championing AI innovation, solving challenging problems, and shaping the future of software, this is your chance to make a significant impact.

Your Area of Focus

• Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC).
• Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge.
• Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features.
• Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers.
• Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption.
• Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies.
• Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices.

Your Professional Qualifications

• Experience: 12+ years of software engineering experience with 8+ years of technical leadership experience.
• AI Leadership: Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.).
• Languages: Python, Java, JavaScript.
• Frameworks: Vue, React, Flask, SpringBoot (Experience with AI orchestration frameworks like LangChain or LlamaIndex is a strong plus).
• Databases: MySQL, Oracle, Postgres, DynamoDB, Firestore (Familiarity with Vector Databases is highly desirable).
• Cloud: AWS, GCP.
• Adaptability: Flex time spent coding from 10% to 90% as needed by team(s).
• Drive: Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business.
• Influence: Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders.
• Continuous Improvement: Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership.
• Standard Setting: Leader in establishing best practices and standards for the engineering organization.
• Communication: Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences.
• Evaluation: Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape.

 (For Recruiter use only) #LI-SS1 #LI-Remote

The role:

You unify CookUnity's workforce data, systems, and operational processes. You build the technical infrastructure that makes people's decisions informed, scalable, and automated. This is an enabler role—not just a doer of all things data and ops, but the architect who ensures the People function has reliable systems, clean data, and efficient workflows.

Unlike traditional People Analytics or Technology roles, you focus specifically on integrating data-driven workforce strategies into core business operations, ensuring that our human capital decisions are informed, strategic, and aligned with our overall business goals. You enable the People Partners to focus on building experiences and coaching leaders by creating the dashboards, automation, and data infrastructure they need to succeed.

Impact on the Organization

• Data reliability: Leadership trusts people's data and uses it to make strategic decisions
• Efficient operations: Core people processes (onboarding, performance, headcount planning, mobility, offboarding) are automated and streamlined
• Compensation accuracy: Pay data is integrated, accurate, and accessible for equity and strategic analysis
• Scalable systems: HRIS and people tools work together seamlessly and support growth
• Analytics capability: People team and leaders have dashboards and insights that inform action

Responsibilities:

Data Engineering & Analytics

• Build and maintain reliable people data systems
• Create dashboards for key metrics (hiring, attrition, performance, comp)
• Run workforce analysis (headcount, org design, pay equity)
• Ensure data quality and surface insights
• Ensure accurate data flows across tools
• Enable self-service reporting for leaders

People Operations & Process Design

• Automate and streamline core processes (onboarding, performance, mobility, offboarding)
• Design scalable workflows
• Support compensation cycles and reporting
• Track mobility, succession, and attrition metrics
• Use exit data to generate retention insights

Qualifications:

• Significant years of experience in people analytics, HRIS administration, business analytics, and/or compensation analysis
• Ability to leverage generative AI to increase output quality and speed
• Experience with automation tools (n8n, Hex, or similar) and demonstrated ability to build multi-step workflows
• Ability to write SQL queries or work with data extraction tools to pull reports
• Curious about the "why" behind data trends, not just the "what."
• Proactive problem-solver who identifies issues before they become blockers
• Responsive and reliable—People Partners depend on your outputs
• Comfortable receiving feedback and iterating on work
• Strong proficiency in Excel/Google Sheets
• Experience with HRIS platforms (Rippling, BambooHR, Workday, or similar)—Rippling experience is a plus
• Comfortable troubleshooting technical issues and learning new tools independently

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

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 large amount of work ahead of us. 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

At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe’s financial capabilities. As part of Treasury Finance’s AI and Quantitative Analytics team, you’ll work at the intersection of finance, artificial intelligence, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. 

What you’ll do

Within Treasury Finance AI and Quantitative Analytics, you’ll leverage your finance, artificial intelligence (AI) and technical expertise to  build intelligent solutions that enhance Stripe’s treasury capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

You will:

• Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can solve complex liquidity, financial risk management, and capital markets challenges
• Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
• Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes
• Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time insights and actionable intelligence
• Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows 
• Explore and prototype cutting-edge AI applications to address emerging treasury challenges

Who you are

We’re looking for a technical problem-solver with treasury and finance expertise who’s excited about leveraging artificial intelligence and 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

• Bachelor’s degree in finance, mathematics, computer science, engineering or a related field with 5+ years of work experience in software development, data science, or treasury/finance roles 
• Working familiarity with financial risk and capital markets concepts
• Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
• Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
• Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
• Results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication skills for collaborating with product, engineering, and finance teams
• Highly organized, with attention to detail and the ability to manage tight deadlines

Nice to have

• • Familiarity with the payments industry and fintech landscape
  • Experience with Databricks and cloud platforms (AWS, GCP, Azure) 
  • Software engineering experience in Ruby

Who we are

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

The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders.  We bring understanding and predictability to Stripe’s bottom line financials.  We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.

What you’ll do

We’re hiring a seasoned finance leader to run Central GTM Finance & Strategy on the GTM F&S team. You will lead global planning, consolidation, metrics & analytics, and strategic initiatives that scale GTM finance operations. This role partners closely with Global Sales leadership to guide go-to-market strategy, improve forecasting accuracy, optimize investments, and accelerate enterprise growth as Stripe expands internationally.

Responsibilities

• Lead and develop a team of eight finance professionals supporting Global Sales; deliver insights across user-level performance, sales productivity, pipeline conversion, quota attainment, and strategic account planning to support recurring business reporting cadences.
• Provide finance leadership for global sales support functions including Solution Architecture, Customer Success, Renewals, and GTM Operations.
• Own global forecasting, planning, and budgeting for Sales; surface actionable insights that inform investment decisions and drive sales efficiency.
• Define and maintain key business metrics and KPIs to monitor health and proactively flag risks and opportunities.
• Use data-driven analysis to diagnose performance, recommend actions to accelerate revenue growth and margins, and optimize investments.
• Partner with Sales, Sales Operations & Strategy, and Marketing to evaluate ROI of GTM initiatives and customer acquisition strategies.
• Build dynamic financial and operating models to assess new sales motions, pricing changes, large enterprise deals, and regional expansion scenarios.
• Work with leadership to create long-range planning models that align team strategy with GTM and company priorities.
• Design, scale, and implement reporting and dashboards that track funnel metrics and primary investment drivers.
• Independently run complex SQL queries and perform hands-on analysis of raw data to validate models, uncover root causes, and produce actionable insights.
• Leverage AI and generative tools to speed analysis, automate repetitive tasks, surface insights, and synthesize recommendations.
• Drive process automation and data streamlining to improve reporting accuracy and decision velocity.
• Contribute to quarterly business reviews and long-range planning with scenario analysis and strategic recommendations.
• Translate complex financial and sales data into clear, concise narratives for executive audiences.

Who you are

You’re an analytical, execution-oriented finance leader with strong business acumen and a passion for GTM strategy. You thrive in fast-moving, ambiguous environments and balance strategic thinking with hands-on work. If you want to help Stripe scale its enterprise footprint and drive decisions through data, we want to hear from you.

Minimum requirements

• 10+ years in FP&A, Strategic Finance, or GTM Finance supporting enterprise sales teams.
• Proven ability to analyze pipeline health, forecast revenue, and model user and sales dynamics in complex B2B settings.
• Track record of partnering with senior GTM leaders and influencing decisions through financial insight.
• Strong financial modeling experience and familiarity with large, multi-variable planning tools.
• Proficiency in SQL to independently query and manipulate complex datasets.
• Analytical fluency at scale; comfortable working directly with large, complex datasets (not just financial models) to independently validate outputs, diagnose root causes, and drive conclusions in close partnership with Engineering, Data Science, and Analytics teams. 
• Ability to navigate ambiguous, evolving data environments; experience identifying non-obvious data pitfalls, understanding how data flows across systems, and building reliable analyses in settings where infrastructure and tooling are still maturing. 
• Minimum 3 years of people management experience with success leading high-performing finance teams.
• Excellent communication and presentation skills; ability to distill complex concepts into clear, actionable insights.
• Comfortable operating in fast-paced, ambiguous environments; able to balance strategy with tactical execution.

Preferred qualifications

• Experience working at a high-growth technology or financial services company
• Anaplan, Tableau or other equivalent application experience
• Advanced SQL skills
• Experience in data visualization and dashboarding

Who we are

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

The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.

What you’ll do

As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.

Responsibilities

• Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
• Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
• Rapidly prototype new AI/ML-based approaches to achieve key business goals.  
• Develop processes to train and evaluate models in offline and online environments
• Integrate models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
• Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems

Who you are

We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• 2+ years of industry experience building and shipping AI/ML systems in production
• Proficient with AI/ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark 
• Knowledge of various AI/ML algorithms and model architectures
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Experience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.
• Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.

Preferred qualifications

• MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)
• Experience with DNNs including the latest architectures such as transformers and LLMs
• Experience working in Java or Ruby codebases
• Proven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problems
• Experience with online experimentation such as A/B testing or multi-armed bandits.
• Experience with model calibration

Who we are

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

We’re looking for an experienced regulatory licensing professional to manage our Audit & Regulatory Affairs team. In this role, you will coordinate with Stripe’s Legal, Financial Crimes, Finance, Accounting, Product, and Security teams, to (i) coordinate and submit regulatory license applications; (ii) manage license renewals and licence maintenance items; (iii) manage US regulatory exams and inquiries; and (iv) oversee other aspects of the team’s day-to-day activities, with a focus on licensing and exam activities related to digital assets.

Stripe’s mission is to increase the GDP of the internet. We build the most powerful and flexible tools for running an internet business. We handle billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. More than 80% of American adults bought something through Stripe in the last year.

Namely, Stripe’s North America regulatory affairs program plays a critical role in ensuring Stripe effectively manages its regulatory requirements and ongoing regulatory obligations for certain licensed US and Canadian entities. The role provides an excellent opportunity for a talented candidate to deploy their cross-functional licensing and regulatory exam management skills in a fast-paced and rigorous environment, enhance their regulatory risk management expertise, learn about digital assets, carve out opportunities to grow and develop, as well as lead a team of skilled and talented professionals. The successful candidate will gain wide ranging exposure to Stripe's diverse range of business lines, senior leadership, and the governance and workings of the organization.

The ideal candidate will be a self-starter who is exceptionally organized, thorough and detail-oriented, with a background in financial services, payments, digital assets, or other regulated sectors. In this role, you will get a chance to help build, enhance, mature and evolve our regulatory licensing and exam programs and be a key cross-functional partner. Stripe is both a technology company and a financial services company, and you will need to be comfortable in both worlds.

What you’ll do

The Audit & Regulatory Management Lead will help to ensure that all of the relevant components of the regulatory affairs program for licensed US and Canadian entities remain current and compliant, oversee managing and executing US regulatory examinations, and support our Compliance Audit Strategy, with the expectation to build a team who, in due time, will manage and drive exam oversight globally.

Responsibilities

• Coordinate responses to state regulatory inquiries, filings, forms, applications, renewals, surety bonds, and anything else required for license maintenance
• Assist in managing regulatory exams and inquiries, responding to regularly exam matters and monitoring the implementation and closure of any remediation items
• Stay abreast of regulatory changes, particularly with respect to digital assets, and how they impact regulatory affairs’ licensing and exam management program activities and responsibilities
• Establish and maintain relationships with internal and external partners and business units, relevant state and local agencies, licensing consultants, and outside counsel 
• Work proactively with Legal, Finance, Financial Crimes, Affiliate Officers, Product, and other key stakeholders on managing the regulatory affairs’s licensing and examination program 
• Support any end-to-end licensing, examination and related ad hoc inquiries as required in partnership with key stakeholders 
• Engage in special projects in support of the regulatory affairs program in North America

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

• Bachelor’s degree in Finance, Political Science, Economics, or a related field 
• 10+ years experience in financial services, with significant experience in payments— familiarity with money transmitter statutes, NMLS, the BSA, and other areas of financial services, such as digital assets, lending, loan brokering and collections
• A history of professional achievement, including excellent academic credentials and success at a payments startup, financial institution, public sector organization, law enforcement agency, or top in-house legal department 
• Demonstrated familiarity with leveraging Generative AI and agentic workflows to automate preparing responses to routine questions and requests
• The ability to effectively and credibly communicate with senior executives, regulators and other stakeholders 
• Great interpersonal and critical thinking skills, good judgment, and the ability to work effectively with a wide variety of people inside and outside the company
• Robust communication skills

Who we are

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