We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (EEA, UK, and Switzerland).

The annual base salary range for this position is displayed below. Individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation
€63.000 - €79.000 EUR

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

About the role

• Drive impactful PR campaigns and media storytelling: Translate trends, cultural moments, business priorities and data insights into compelling PR angles and stories that resonate with media. Identify news hooks, develop narratives and turn key focus areas into relevant, media-ready stories that generate high-quality coverage across key markets.
• Develop high-quality written content: Create clear, engaging and media-ready materials including press releases, pitches, trend-led stories, op-eds and reports. Ensure all content meets a high editorial standard and is tailored to the audience and market.
• Enable strong media outreach and coverage outcomes: Equip and guide PR agencies to successfully pitch stories and secure coverage across relevant outlets. Provide clear angles, materials and direction, while also supporting direct media outreach where relevant. Build and nurture relationships with key journalists over time, acting as a credible point of contact.
• Handle reactive communications and media inquiries: Manage inbound press requests, draft timely and accurate responses, and support the team in handling sensitive topics or potential reputational issues with sound judgment.
• Leverage data to tell stronger stories: Work with internal data and insights to identify trends and translate them into relevant, newsworthy narratives. Use data to strengthen credibility and differentiation in PR output.
• Use AI to scale and enhance PR workflows: Leverage generative AI tools to support ideation, drafting and research. Translate press office needs into structured AI workflows, iterate efficiently and apply strong editorial judgment to ensure outputs remain accurate, distinctive and high quality.
• Manage PR execution end-to-end: Own projects from idea to delivery, managing multiple deadlines and stakeholders. Balance speed and quality while operating in a fast-paced, evolving environment.
• Support international PR coordination: Contribute to multi-market PR initiatives, working with external agencies to ensure consistency and impact across markets.
• Collaborate across teams: Work closely with Category and Brand teams to shape stories and deliver integrated campaigns. Translate business objectives into clear communication angles.

What you’ll bring

• Experienced and execution-focused: You bring 3–5 years of experience in PR or communications, ideally in a media, agency or tech environment. You have hands-on experience pitching stories and securing media coverage.
• Strong storytelling and writing skills: You are able to craft clear, compelling and well-structured content, and translate ideas into media-ready narratives with strong news hooks.
• Good media understanding: You understand how media works and what makes a story relevant. Experience building relationships with journalists is a plus.
• Collaborative and proactive: You communicate clearly, manage stakeholders effectively and take ownership of your work. You are resourceful, hands-on and able to move work forward independently.
• Comfortable in a fast-paced environment: You are able to manage multiple priorities, work under pressure and adapt quickly to changing needs.
• Curious and forward-thinking: You stay on top of media trends, cultural moments and new tools, continuously looking for ways to improve PR output and impact.
• Exposure to international environments: Experience working across multiple markets and/or with PR agencies is a plus.
• Affinity with exceptional objects: An interest in art, collectibles, luxury or design is a plus

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone. 

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:
We are seeking interns to join various Product Teams, contributing to Platform, Software, Mobile, Frontend, Security, or Data Engineering projects. We’ll carefully match candidates to the most suitable team and project based on their skills and interests.

The start date is flexible and the expected duration is between 8 to 12 weeks.

You Have & You Know-How:

• Currently pursuing or recently completed a degree in Computer Science, or a similar technical degree (required)
• Strong Computer Science fundamentals and coding skills (our stack includes Java, Go, Python, React, Bash)
• Self-driven & motivated, with a strong work ethic and a passion for problem solving
• Passionate desire to learn and grow
• Able to bring ideas into the team and to work out solutions to tough problems autonomously
• Good communication skills both written and verbal
• Fluency in English
• Experience working with Generative AI (GenAI) tools is a plus

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

 #LI-Remote #LI-MG3

The Operations team at Feedzai is responsible for ensuring the efficiency of the company as a whole by transforming business processes, tools, data, and insights, while ensuring great day-to-day work experiences for all teams and departments. Within this mission, the Chief of Staff (CoS) Office acts as the central engine for organizational alignment, departmental health, and executive-level execution.

You: We’re looking for an experienced Senior Program Manager to act as the primary operational lead for the CoS Office. You will drive the "operational heartbeat" of the department, ensuring that internal programs, business resilience, and cross-functional workstreams maintain momentum. The ideal candidate will have demonstrable experience in managing complex initiatives, a high degree of analytical rigor, and the ability to operate with absolute discretion in a high-stakes environment.

To be successful, you must be a proactive "operator" with excellent communication skills, capable of identifying gaps in processes and embedding a culture of continuous improvement across our resilience and people frameworks.

Your Day to Day:

• Manage Operational Cycles & the People Program: Own the end-to-end management of Ops Townhalls, and Team Offsites. You will also dynamize the Ops People Program, acting as the central point of coordination for various workstreams owned by different leads to ensure consistent execution.
• Build Business Continuity & Resilience: Act as the primary lead for the Business Continuity Program (BCP). You will manage day-to-day readiness while embedding a continuous improvement approach to ensure our resilience frameworks stay effective and deeply integrated into the business.
• Perform Analysis & Support Executive Visibility: Perform hands-on data synthesis and analysis to provide the CoS Office with a clear view of organizational health. You will translate complex internal data into concise executive summaries that support the CoS and SVP of Operations in daily decision-making.
• Execute Special Projects: Lead ad-hoc, high-priority projects that cross organizational boundaries. You will provide structure to ambiguous challenges and ensure these initiatives are delivered with high quality and alignment.
• Support Extended Leadership Team (ELT) Evolution: Serve as the execution partner for the CoS on Extended Leadership Team (ELT) All-Hands and support the rollout of leadership community initiatives.
• Drive Process Efficiency & AI Integration: Identify opportunities to implement more efficient processes and systems within the CoS office and wider department. You will proactively explore and integrate AI tools to automate repetitive tasks, enhance data synthesis, and drive overall department productivity and efficiency.

You Have & You Know-how:

• 5–7 years of experience in Management Consulting, Strategic Project Management, or a CoS office role within a high-growth tech environment.
• Master’s degree, preferably in Engineering, Management, Economics, or a related technical specialty.
• Strong experience performing hands-on data synthesis and research; you enjoy finding the "why" behind the numbers and translating it into executive narratives.
• A logical thinker who can provide structure to ambiguous, high-stakes challenges.
• Excellent project management skills with a focus on process design and continuous improvement.
• Strong interest or experience in utilizing Generative AI to improve personal and departmental productivity.
• Proven experience handling sensitive and confidential information with absolute discretion.
• Exceptional communication and presentation skills in English (mandatory), with the ability to influence stakeholders without direct authority.

#LI-DNI

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You:

We are looking for a Senior Security Compliance Engineer. You will be responsible for making sure that both our software & our infrastructure is safe, helping to protect our customers. 

Your Day to Day:

• Ensure compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001 and 27701, SOC 2, NIST, GDPR) & participate in the audit processes;
• Support clients, vendors, and regulatory audits, assessments, and information security requests;
• Review, implement and oversight the effectiveness of Feedzai's security framework as well as ensuring their effectiveness;
• Perform security risk assessments and provide prioritized remediation recommendations;
• Develop, review, and maintain policies, processes, and standards and implement procedures, controls, and other measures to ensure compliance with internal and legal regulations and requirements.

You have & You Know-How

• Knowledge of compliance and regulatory frameworks (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR, etc.);
• Understanding of cloud security concepts (e.g.: Amazon Web Services (AWS) IAM, GCP or Azure security principles, etc.) and integrating security controls through DevOps and Infrastructure as a Service (IaaS) techniques;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.
• Knowledge of container orchestration systems such as Kubernetes is welcomed.
• Experience working with Generative AI (GenAI) tools is a plus.

 #LI-Remote #LI-MG3

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base.

Outcomes 

• Design, develop, and deploy backend services and APIs that solve real-world customer challenges
• Optimize application performance, scalability, and security
• Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services
• Troubleshoot and resolve production issues efficiently
• Actively participate in code reviews, knowledge sharing, and continuous learning

Requirements 

• 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C#
• 2+ years of experience in product companies (SaaS)

• Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code
• Experience with writing and maintaining Unit tests and E2E tests
• Advanced experience with MongoDB
• Upper-intermediate or higher English proficiency (written and spoken)
• Strong problem-solving skills and a growth mindset
• Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination
• Openness to constructive feedback and value the ideas and opinions of others

Our technologies

• Backend: .NET Core (C#), Python
• Frontend: Vue.js 2/3, Nuxt 3, Typescript
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

The mission of a Customer Experience Specialist at Smartcat is to address our customer’s needs by offering assistance with empathy, passion, and clear communication, collaborating closely with the product team by reporting feedback and escalating issues (feature requests, bugs, etc.) as needed. By delivering excellent support to our amazing users, you’re expected to maintain a great customer satisfaction rate in this role.

Outcomes

• Keep the CSAT above 96%
• Ensure SLA goals are met (target > 95%)
• Keep the quarterly churn level below 3%

Your responsibilities will be

• Resolve customer requests in modern ticketing systems such as Zendesk and YouTrack
• Engage with customers via tickets during respective shifts
• Effectively take part in the rotational on-call roster to help our enterprise customers with critical issues during off-business hours. We offer on-call allowances as per the shifts.
• Brainstorm and troubleshoot complex issues
• Develop and maintain documentation for the user's help center and internal usage
• Escalate customer requests to other teams (product, infrastructure, DevOps, etc.)
• Engage and collaborate with engineers, analysts, testers, product managers, and other customer-facing teams such as the Accounts management team and Sales for a top-notch customer experience.

Requirements

• Must have or practice consistently the values of customer obsession, empathy, ownership, and openness.
• Excellent written and spoken English communication skills
• Basic knowledge of and experience with Python scripting, APIs, HTTP request methods, XML, JSON, different types of file structures, Xpath and Regex expressions
• Experience with localization and translation is a plus
• Possess exceptional troubleshooting and problem-solving skills
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others

Why joining Smartcat might be your best move so far

• Innovating the $50 Billion industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High-impact role enabling innovation and inclusion in organisations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Fully remote team of high-performers
  We are a global team of 170+ enthusiastic people. We have been fully remote since 2020, with some locations populated with more “Smartcatters” than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.  We strive to grow aggressively, but we also preserve our high performance, engagement, and open feedback culture. As diverse as we are, we love working and having fun together, and we’re sure you’ll love working with us too.
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone who will become a part of the team and play a critical role in the most exciting part of our journey from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing 150% YoY thanks to the strong product-market fit and the culture of high sense of urgency.
• Celebrating diversity
  We welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work. We are committed to diversity and inclusion & prohibit discrimination and harassment.   

Mission:

The Head of AI will play a key role in driving the success of Smartcat’s mission to become the end-to-end Language AI platform for global enterprises. In this role, you will shape Smartcat's AI strategy, unlocking the potential of AI to create new, innovative use cases or reinvent existing user experiences, delivering measurable value to our enterprise clients in multilingual content generation, translation, and analysis.

Outcomes:

• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises
• Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy
• There are three high-impact areas to focus on over the next 12 months:
• Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. Your goal will be to introduce a holistic approach to measuring language quality across various use cases for translation and multilingual content generation. You will aim to achieve consistent improvement in these metrics quarter over quarter for our enterprise customers, significantly reducing the required editing effort on their end. (We are already making progress in this area and have achieved measurable results, but there is still enormous potential for innovation and breakthroughs.)
  You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers.
• Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences.
• AI-Driven Customer Lifecycle: Smartcat has strong inbound and PLG/PLS motions, with thousands of new verified logos signing up on the platform every quarter. You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. This product will also tailor the overall UX and guide users through their next steps within the platform.
• You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

Requirements:

• 10+ years of experience as an Engineering and Product leader with at least 2+ years leading AI/ML unit for a tech company
• A deep understanding of the current state of ML and AI, along with a natural passion and curiosity to stay ahead of the rapidly evolving AI landscape and drive innovation within it.Experience creating and driving a strategic AI roadmap with the ability to inspire and align a team
• Strategic mindset with a proactive approach to identifying opportunities and challenges
• Ability to effectively present and communicate at the executive and board level
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others
• Strong preference to consider candidates who live on the East Coast, Boston or New York area, but will consider other areas for the right candidate. 
• Native-level fluency in English, both written and spoken

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

The Senior Manager, Transfer Pricing will play a critical leadership role in the operational transfer pricing at Tripadvisor, driving the continued development and implementation of transfer pricing practices, policies, and strategies across the organization. This role will collaborate closely with the tax team, along with cross-functional partners in Finance, Legal, and other areas of the business. This position will report to the Associate Director, Transfer Pricing, and will be responsible for managing and mentoring internal tax professionals. 

We are able to offer only Umowa o Pracę/Permanent Contract.

Location: Portugal- Lisbon or Poland- Krakow

What You’ll Do:

Compliance, Reporting, and Documentation

• Oversee and review the global transfer pricing compliance process, ensuring accuracy in monthly transfer pricing calculations and disclosures relating to statutory financial statements of foreign affiliate companies.
• Oversee and review transfer pricing local file reports, transfer pricing disclosure forms, country-by-country (CbC) reporting, and U.S. tax reporting obligations related to transfer pricing.
• Direct the drafting and management of the global intercompany agreement portfolio.
• Direct US tax reform calculations, including FDII and BEAT.

Strategy, Analysis, and Forecasting

• Drive the transfer pricing strategy and advise on planning aspects of business expansion, including entering new countries, reorganizations, and cross-border transactions involving multiple jurisdictions.
• AI & Automation Leadership: Be a key member supporting the digital transformation roadmap to migrate from manual workflows to automated, data-centric systems. This includes implementing Generative AI for documentation drafting.
• Lead the tax forecasting process from a transfer pricing perspective.
• Oversee financial and economic analyses, financial valuation models, and the collection and analysis of quantitative and qualitative data to report results and strategic recommendations.
• Direct functional interviews used to document the interaction of global subsidiaries and mandate adjustments to existing transfer pricing policies based on your findings.

Risk Management, Audit Support & Leadership

• Proactively direct the identification and mitigation of enterprise-wide transfer pricing risks, and monitor ongoing changes in global tax regulations and transfer pricing regulations.
• Manage and lead global tax audits and provide controversy defense strategies/support as needed.
• Mentor, train, and manage internal tax professionals to develop and grow the transfer pricing team.
• Manage and collaborate effectively with outside advisors.

Skills & Experience:

Experience and Education

• 7-10+ years of transfer pricing experience – A combination of Big 4 and large multi-national corporate experience is preferred.
• A Graduate degree, JD/CPA, or equivalent qualification is highly preferred.

Technical Capabilities

• In-depth knowledge of international transfer pricing regulations and documentation requirements.
• Ability to interpret complex data from a variety of sources and formats, with a forward view towards implementing automation and AI-driven tax software (e.g., Alteryx and Tableau)
• Advanced ability to use Excel, Google Suite, experience with Alteryx, and familiarity with various ERP systems.
• Extensive experience with data analytics, financial analysis, and modeling techniques, as well as business valuation.
• Demonstrated ability to use AI tools to improve efficiency, quality, and decision-making in day-to-day work.
• Proven ability to operate effectively with a global-first mindset 

Professional Skills

• Leadership & Management: Proven leadership and people management skills with the ability to build and mentor a high-performing team. 
• Project Management & Collaboration: Proven project management skills with the ability to manage and prioritize workloads, partner effectively with business management, legal, and finance teams, and maintain a "team-first" mentality.
• Critical Thinking: Excellent critical thinking skills, deep attention to detail, and a self-starter mindset.
• Communication: Effective verbal and written communication skills to clearly relay complex information to various executive stakeholders.

What We Offer 

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
• Donation matching. Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
• Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
• Travel perks. We believe that travel is employee development, so we provide discounts and more.
• Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
• Health benefits. We offer great coverage and competitive premiums.
• Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.

 Our Cultural Pillars:

Traveler first

We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 

Execution is our edge

We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 

We succeed together

The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor, you can email us at recruitment@tripadvisor.com. We have all the answers!

#LI-CH01

#Tripadvisor

Process Automation Lead, 3P | Tripadvisor 

About Tripadvisor 

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

Are you ready to move beyond incremental improvements and lead a total AI-driven transformation? We are looking for a visionary Process Automation Lead to dismantle legacy friction and build a world-class, automated experience for the teams driving explosive growth for our Experiences business. You won’t just be mapping processes; you’ll be defining the future of how our Sales and Marketing teams scale.

We are seeking a visionary Process Automation Lead to architect and implement frictionless, AI-enhanced experiences for our partner-facing team. You will be the primary driver in enabling our Distribution Partnerships Sales and Marketing teams to 10x their impact. This is a high-autonomy role designed for a strategic leader who can bridge the gap between lean process optimization and cutting-edge AI opportunities. If you are a builder who thrives on dismantling legacy friction and scaling solutions in a fast-paced environment, we want you on our team.

Job Location: Remote

This role is a remote position in the [country]. Occasional travel to company offices as necessary.

Your Impact:

• Strategic Process Mapping: Lead discovery sessions to identify and map high-friction points in the employee and customer journey.

• AI-Driven Transformation: Translate complex AI and automation concepts—including Generative AI, chatbots, and predictive analysis—into scalable solutions for internal teams.

• Next-Gen Workflow Automation: Re-engineer and automate routine tasks to drastically improve resolution speed and accuracy.

• Root-Cause Resolution: Identify and eliminate product or process blockers that cause employee or partner friction, ensuring measurable impact on service quality.

• Full-Lifecycle Ownership: Oversee the end-to-end implementation of automation projects, ensuring they are scalable, data-validated, and aligned with our global service-solution strategy.

What You’ll Bring:

• Expertise in Scale: 5+ years of experience in sales or marketing operations with a proven track record of process optimization and automation.

• The "Automation Mindset": Deep understanding of Six Sigma methodologies paired with modern AI workflow tooling.

• Technical Translation: A natural ability to collaborate with technical teams and external vendors to turn business needs into seamless delivery.

• Relentless Collaboration: Strong stakeholder management skills with the ability to influence leadership and execute complex roadmaps.

• Customer Obsession: A mindset that puts the partner experience first, advocating for simplicity at every touchpoint.

Core Competencies for Success:

• Execution at Speed: You are comfortable challenging the status quo, experimenting rapidly, and seeking continuous improvement.

• Strategic & Data-Driven: You leverage data to identify opportunities and use an A/B testing mindset to validate solutions.

• Articulate Influence: Exceptional communication skills with the ability to translate technical complexity into clear, actionable insights for internal stakeholders.

• Industry Experience: Prior experience in a high-growth tech environment is preferred.

What We Offer 

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
• Donation matching. Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
• Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
• Travel perks. We believe that travel is employee development, so we provide discounts and more.
• Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
• Health benefits. We offer great coverage and competitive premiums.
• Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.

Our Cultural Pillars:

Traveler first

We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 

Execution is our edge

We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 

We succeed together

The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

#LI-Remote

We are looking for a Senior Product Designer to join the R&D Organization, creating complex enterprise B2B software

This role requires someone who thrives in a fast-paced, startup-like environment where you'll build, test, learn, and iterate rapidly. You'll own the full UX process, from discovery research through execution, working with high autonomy and accountability alongside a product manager, an engineer manager, and the engineering team.

The UX team consists of product designers and technical writers who are committed to helping our users create compelling product experiences. We use Figma to create designs using our design system, Habanero. We employ tools like Dovetail, Mixpanel, Intercom, LogRocket, and Redash, alongside customer interviews and workshops, to deeply understand our users and validate our work. We actively embrace AI in our design process, using Figma Make, Lovable, and AI-powered research to optimize and maximize our impact.

The Growth group at Salsify is focused on creating new products, exploring emerging opportunities, integrating AI capabilities, and capabilities that drive customer satisfaction and business expansion. You'll be part of a collaborative UX team while having direct ownership of your product area's experience. The role reports to the UX Manager of Growth in our R&D organization.

How You'll Make an Impact

You thrive on working with current and potential users

• You're energized by the opportunity to connect directly with customers
• You seek out user conversations and use them to drive your design decisions
• You're genuinely curious about understanding how people work and what they need

You move fast and embrace innovation

• You thrive in build-test-iterate-refine cycles and know how to balance speed with quality
• You have a startup mindset - scrappy, resourceful, outcomes-focused
• You're curious and proactive about solving problems, including exploring how AI can enhance your design work

You're a strategic UX thinker

• Research is your foundation - you know how to gather insights, conduct user interviews, and synthesize findings into actionable direction
• You use data and research to justify design decisions and measure success
• You understand how to balance user needs with business objectives
• You can identify the "why" behind problems before jumping to solutions

You're a facilitator and communicator

• You can conduct user interviews and research sessions confidently in English
• You present findings and recommendations clearly to leadership and your team

You're organized and execution-focusedYou enjoy collaboration and teamwork

• You build strong relationships with Product Management and Engineering counterparts
• You know when to lead, when to collaborate, and when to support
• You feel a sense of ownership over the product outcomes, not just the designs

You're energized by a culture of mentorship, feedback, and continuous learning

You’ll enjoy this role if you have:

• 5+ years of Product Design /UX Design experience in B2B or Enterprise SaaS
• Experience designing products with features powered by generative AI/LLMs for B2B users - portfolio must demonstrate work in this area (e.g., AI assistants, copilots, conversational interfaces, content generation)
• Strong UX/research foundation - portfolio shows research-driven design process, not just final designs
• Communication skills and  English fluency - comfortable conducting research, facilitating, and presenting in English
• Portfolio required - showing your research process, strategic thinking, and measurable outcomes

Bonus Points

• Experience with Lean UX methodologies
• Experience with B2B catalog, e-commerce, workflows, automation, or data management products
• Background in startups or fast-growth environments
• Experience elevating products from functional to exceptional

About Salsify UX Design

We deeply value our Product Design culture. We believe it's okay to be wrong before you get to the right solution, and we make the space to test, learn, and iterate. We're all about great outcomes – for our users, our team, and for Salsify – and we believe data, empathy, great design, and having fun are the best ways to get there. Every member of our team has the freedom and responsibility to make Salsify a great place to work. From talking with our users, workshopping with our peers, and designing elegant, human-centered Enterprise software, we empower our Product Designers to innovate while turning complex business processes into intuitive and delightful product solutions.

#LI-MP1 #LI-remote

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates preferably based in Lisbon, Portugal.

About the role

As an AI Engineer at Fluxon, you’ll take the lead in designing, building and deploying AI-powered applications for our clients.

You'll be responsible for:

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

You'll work with technologies including:

Languages

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript   

AI / ML

• LangChain
• LangGraph
• Google ADK
• Genkit
• OpenAI API
• LLM - Large Language Model
• Vertex AI

Cloud & Infrastructure

• Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• Storage: Google Cloud Storage (GCS) or AWS S3
• Orchestration: Temporal, Kubernetes

Data Stores

• PostgreSQL
• Firestore
• MongoDB

Monitoring & Observability

• GCP Cloud Monitoring Suite

Qualifications

• 5+ years of industry experience in software engineering roles
• Strong proficiency in Python or any preferred AI programming language such as Scala, Javascript and Java
• Strong understanding of Transformer architectures, embeddings, and vector similarity search
• Experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI)
• Hands-on experience with agent workflows like LangChain, LangGraph
• Experience with Vector Databases and traditional SQL / NoSQL databases
• Familiarity with cloud platforms, preferably GCP or AWS
• Understanding of patterns like RAG (Retrieval-Augmented Generation), few-shot prompting, and Fine-Tuning
• Solid understanding of software development practices including version control (Git) and CI/CD

Nice to have:

• Experience with Google Cloud Platform (GCP) services, specifically Vertex AI, Firestore, and Cloud Functions
• Knowledge of prompt engineering techniques (Chain-of-Thought, ReAct, Tree of Thoughts)
• Experience building "Agentic" workflows where AI can execute tools or API calls autonomously

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, people will look back at this moment as the dawn of a new era, when generative AI began reshaping everything. At Loka, we’re not just watching this change—we’re building it.

Loka is a remote-first, globally distributed tech consultancy headquartered in Silicon Valley. Our teams help organizations from climate startups to cancer research innovators launch products that solve the world’s most urgent problems. Our culture is grounded in purpose, technical excellence and relentless curiosity.

We’re proud of our projects and even prouder of our people. Join us and you’ll be part of a collaborative, respectful, high-performing team that believes mission matters.

The Role

As a Senior Technical Project Manager you’ll lead software development initiatives from scope to delivery, driving impact through structured planning, proactive risk management and client collaboration. You’ll guide multidisciplinary teams across projects while contributing to division-wide initiatives that elevate our ways of working.

Responsibilities

Project Ownership

• Plan timelines, deliverables and work breakdowns for complex projects.
• Lead project status meetings and maintain transparent stakeholder communication.
• Proactively manage resources and timelines to ensure delivery excellence.
• Track performance metrics to identify improvement areas.
• Manage budget, schedule and work plan.

Risk & Blocker Management

• Identify and mitigate risks early.
• Resolve blockers that impact project timelines.

Execution & Methodology

• Select and implement project methodologies (Agile, Kanban, Waterfall, Hybrid).
• Lead project ceremonies and rituals based on methodology.

Stakeholder & Client Collaboration

• Lead 1:1 meetings with main client stakeholders.
• Manage client expectations and facilitate alignment across internal/external teams.
• Provide timely project updates covering risks, blockers, achievements and progress.

Tools & Delivery

• Manage project tools (e.g. JIRA) and maintain Notion project spaces.
• Set up and manage communication channels (Slack, Google Spaces).
• Review key deliverables and ensure quality.
• Coordinate closing tasks (e.g. AWS funding applications, feedback surveys).

Technical Influence

• Use technical knowledge to guide project strategies and decisions.
• Collaborate closely with engineering teams.

Continuous Improvement & Mentorship

• Conduct retrospectives and share learnings across teams.
• Provide direct peer feedback.
• Support the continuous improvement of PM processes across the division.

Requirements

Must-Haves

• 5+ years of experience in technical project management in software development
• Client-facing project experience in a consultancy or startup environment
• Strong grasp of Agile methodologies and project tools (e.g., JIRA, Notion)
• Comfortable working remotely in multicultural teams

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Nice-to-Haves

• Bachelor’s degree in Computer Science or related field
• Experience with cloud infrastructure (AWS, GCP)
• Familiarity with backend, data and DevOps workflows

Candidate Profile

• Curious: You enjoy exploring new industries and tech stacks.
• Autonomous: You thrive in distributed, remote environments.
• Collaborative: You value team input and cross-functional alignment.
• Adaptable: You work at startup speed and embrace change.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Apply Now

We’re excited to hear from you. Please submit your CV in English and make sure your LinkedIn reflects your impact.

Let’s build what matters together.

Years from now, people will look back at this moment as the dawn of a new era, when generative AI began reshaping everything. At Loka, we’re not just watching this change—we’re building it.

Loka is a remote-first, globally distributed tech consultancy headquartered in Silicon Valley. Our teams help organizations from climate startups to cancer research innovators launch products that solve the world’s most urgent problems. Our culture is grounded in purpose, technical excellence and relentless curiosity.

We’re proud of our projects and even prouder of our people. Join us and you’ll be part of a collaborative, respectful, high-performing team that believes mission matters.

The Role

As a Senior Technical Project Manager you’ll lead software development initiatives from scope to delivery, driving impact through structured planning, proactive risk management and client collaboration. You’ll guide multidisciplinary teams across projects while contributing to division-wide initiatives that elevate our ways of working.

Responsibilities

Project Ownership

• Plan timelines, deliverables and work breakdowns for complex projects.
• Lead project status meetings and maintain transparent stakeholder communication.
• Proactively manage resources and timelines to ensure delivery excellence.
• Track performance metrics to identify improvement areas.
• Manage budget, schedule and work plan.

Risk & Blocker Management

• Identify and mitigate risks early.
• Resolve blockers that impact project timelines.

Execution & Methodology

• Select and implement project methodologies (Agile, Kanban, Waterfall, Hybrid).
• Lead project ceremonies and rituals based on methodology.

Stakeholder & Client Collaboration

• Lead 1:1 meetings with main client stakeholders.
• Manage client expectations and facilitate alignment across internal/external teams.
• Provide timely project updates covering risks, blockers, achievements and progress.

Tools & Delivery

• Manage project tools (e.g. JIRA) and maintain Notion project spaces.
• Set up and manage communication channels (Slack, Google Spaces).
• Review key deliverables and ensure quality.
• Coordinate closing tasks (e.g. AWS funding applications, feedback surveys).

Technical Influence

• Use technical knowledge to guide project strategies and decisions.
• Collaborate closely with engineering teams.

Continuous Improvement & Mentorship

• Conduct retrospectives and share learnings across teams.
• Provide direct peer feedback.
• Support the continuous improvement of PM processes across the division.

Requirements

Must-Haves

• 5+ years of experience in technical project management in software development
• Client-facing project experience in a consultancy or startup environment
• Strong grasp of Agile methodologies and project tools (e.g., JIRA, Notion)
• Comfortable working remotely in multicultural teams

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Nice-to-Haves

• Bachelor’s degree in Computer Science or related field
• Experience with cloud infrastructure (AWS, GCP)
• Familiarity with backend, data and DevOps workflows

Candidate Profile

• Curious: You enjoy exploring new industries and tech stacks.
• Autonomous: You thrive in distributed, remote environments.
• Collaborative: You value team input and cross-functional alignment.
• Adaptable: You work at startup speed and embrace change.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Apply Now

We’re excited to hear from you. Please submit your CV in English and make sure your LinkedIn reflects your impact.

Let’s build what matters together.