Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster.
You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our team:
- Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/
- Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/
- Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/
- Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/
RESPONSIBILITIES
- Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA.
- Design the harnesses, execution flows, and guardrails that make AI systems reliable in production.
- Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams.
- Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features.
- Define and instrument evals so you know whether a change actually improved output quality.
- Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end.
- Use Baseten's own training and inference products yourself to develop intuition around customer workflows.
- Identify where AI can replace manual process across the company and build the thing rather than write the proposal.
- Fix bugs and resolve customer issues with urgency.
REQUIREMENTS
- 5+ years of experience building and shipping software applications.
- Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on.
- Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well.
- Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on.
- Proficiency in Python, with fluency in at least one other language.
- Comfort working autonomously in a fast-moving environment with limited structure.
- Ability to move between customer-facing product work and internal tooling and automation.
- Strong communication skills, with the ability to bridge technical depth and business needs.
NICE TO HAVE
- Experience as a founding engineer or early employee at a startup.
- Experience building evals, agent observability, or tooling for non-deterministic systems.
- Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP).
- Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.
- Frontend fluency.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: India
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate.
You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them.
No two days are the same, but you should expect to:
- Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.
- Build and lead a team of forward deployed engineers within the region.
- Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.
- Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.
- Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.
- Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.
- Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.
- Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.
- Scope out potential applications in new industries and expand our AI solutions across different sectors globally.
- Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.
- Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
REQUIREMENTS
- Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations.
- People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture.
- Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.
- Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.
- Technical aptitude to quickly understand our voice and audio AI models and their applications.
- Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact.
- Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth.
LOCATION
This role is remote-first, so it can be executed from anywhere in India, with a preference of Bangalore. Expect regular travel for customer onsites. Fluency in English and a deep understanding of the regional and cultural nuances is required.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Warsaw, Poland; Kraków, Poland
We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services.
Responsibilities
Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.);
Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues;
Keep the build tools up to date, coordinating the updates with other teams;
Review proposed solutions and code written by peers;
Update pipeline documentation and configuration guides;
Take responsibility for efficiency and maintainability of the build system;
Maintain and extend platform tools;
Hands-on contribution to the game development as a secondary role.
[PL]
Poszukujemy Inżyniera ds. Budowy i Wydawania Oprogramowania, który pomoże usprawnić nasz proces budowania i wdrażania gier oraz narzędzi. Na tym stanowisku będziesz ściśle współpracować z zespołami programistycznymi oraz zapewnienia jakości w celu rozwoju i optymalizacji procesów tworzenia oprogramowania, a także zwiększenia niezawodności naszych usług budowania.
Zakres obowiązków
Wsparcie i rozwój procesów programistycznych, na których kluczowy zespół polega w codziennej pracy nad grami (Ciągła Integracja / CI, weryfikacja i wdrażanie kompilacji, wydajność, stabilność itp.);
Analiza wydajności systemu budowania, diagnozowanie i rozwiązywanie problemów związanych z kompilacją oraz wdrażaniem oprogramowania, a także współpraca z zespołami inżynierskimi w celu zapobiegania ich występowaniu w przyszłości;
Utrzymywanie narzędzi do kompilacji w aktualnych wersjach przy jednoczesnej koordynacji aktualizacji z innymi zespołami;
Recenzowanie proponowanych rozwiązań oraz kodu pisanego przez innych członków zespołu;
Aktualizowanie dokumentacji procesów oraz instrukcji konfiguracji;
Dbanie o wydajność i łatwość utrzymania systemu budowania oprogramowania;
Utrzymanie i rozwój narzędzi platformowych;
Aktywny, bezpośredni udział w procesie tworzenia gier w ramach dodatkowej roli.
Requirements
Development and debugging experience in C++;
Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems);
Familiarity with version control systems (Perforce, Git, SVN);
Familiarity with Gradle or XCode;
Good analytical & troubleshooting skills;
Strong communication skills;
Good written English skills;
Self-driven and a team player with a solid work ethic;
Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers.
Would be a plus
Development experience in the following languages: Python, C#, TypeScript;
Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins);
Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.);
Experience with Windows administration and PowerShell;
Experience with OSX and Linux environments;
Experience with cloud technologies, specifically AWS;
Experience with branching and merging;
Experience with mobile development and publishing;
Experience working across internal and remote engineering teams using agile methodologies.
[PL]
Wymagania
Doświadczenie w programowaniu i debugowaniu w języku C++;
Dobra znajomość podstaw informatyki (algorytmy, struktury danych, systemy operacyjne);
Znajomość systemów kontroli wersji (Perforce, Git, SVN);
Znajomość narzędzi Gradle lub Xcode;
Bardzo dobre zdolności analityczne oraz umiejętność rozwiązywania problemów;
Silne umiejętności komunikacyjne;
Dobra znajomość języka angielskiego w pismie;
Samodzielność, umiejętność pracy w zespole oraz wysoka etyka zawodowa;
Motywacja do ułatwiania pracy innym poprzez zwiększanie efektywności zespołu i usuwanie barier technicznych.
Mile widziane
Doświadczenie w programowaniu w językach: Python, C#, TypeScript;
Doświadczenie z narzędziami do automatyzacji budowania oprogramowania oraz CI/CD (np. TeamCity, Jenkins);
Doświadczenie z narzędziami do zarządzania konfiguracją oraz Infrastructure as Code (np. Terraform, Ansible, Puppet itp.);
Doświadczenie w administracji systemem Windows oraz znajomość PowerShell;
Doświadczenie w pracy w środowiskach macOS i Linux;
Doświadczenie z technologiami chmurowymi, w szczególności AWS;
Doświadczenie w zarządzaniu gałęziami kodu i ich scalaniu;
Doświadczenie w tworzeniu i wydawaniu aplikacji mobilnych;
Doświadczenie w współpracy z wewnętrznymi oraz rozproszonymi zespołami inżynierskimi w oparciu o metodyki zwinne (Agile).
Benefits
[EN]
Medical Care package
MyCafeteria system - including Multisport card and more
Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling
English or Polish language classes
Sensibly flexible working hours
Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings
[PL]
Pakiet opieki medycznej
System MyCafeteria – w tym karta MultiSport i wiele więcej
Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste
Lekcje języka angielskiego lub polskiego
Elastyczne godziny pracy (w ramach potrzeb projektu)
Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne
Location: Belgrade, Serbia
We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services.
Responsibilities
Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.);
Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues;
Keep the build tools up to date, coordinating the updates with other teams;
Review proposed solutions and code written by peers;
Update pipeline documentation and configuration guides;
Take responsibility for efficiency and maintainability of the build system;
Maintain and extend platform tools;
Hands-on contribution to the game development as a secondary role.
Requirements
Requirements
Development and debugging experience in C++;
Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems);
Familiarity with version control systems (Perforce, Git, SVN);
Familiarity with Gradle or XCode;
Good analytical & troubleshooting skills;
Strong communication skills;
Good written English skills;
Self-driven and a team player with a solid work ethic;
Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers.
Would be a plus
Development experience in the following languages: Python, C#, TypeScript;
Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins);
Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.);
Experience with Windows administration and PowerShell;
Experience with OSX and Linux environments;
Experience with cloud technologies, specifically AWS;
Experience with branching and merging;
Experience with mobile development and publishing;
Experience working across internal and remote engineering teams using agile methodologies.
Benefits
Working with an international team of world-class professionals on exciting and challenging projects
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events
Medical Care package
Sensibly flexible working hours
Breakfasts, snacks and fruits available during the day, tea and coffee machines
Location: Yerevan, Armenia
We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services.
Responsibilities
Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.);
Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues;
Keep the build tools up to date, coordinating the updates with other teams;
Review proposed solutions and code written by peers;
Update pipeline documentation and configuration guides;
Take responsibility for efficiency and maintainability of the build system;
Maintain and extend platform tools;
Hands-on contribution to the game development as a secondary role.
Requirements
Requirements
Development and debugging experience in C++;
Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems);
Familiarity with version control systems (Perforce, Git, SVN);
Familiarity with Gradle or XCode;
Good analytical & troubleshooting skills;
Strong communication skills;
Good written English skills;
Self-driven and a team player with a solid work ethic;
Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers.
Would be a plus
Development experience in the following languages: Python, C#, TypeScript;
Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins);
Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.);
Experience with Windows administration and PowerShell;
Experience with OSX and Linux environments;
Experience with cloud technologies, specifically AWS;
Experience with branching and merging;
Experience with mobile development and publishing;
Experience working across internal and remote engineering teams using agile methodologies.
Benefits
Working with an international team of world-class professionals on exciting and challenging projects;
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events;
Medical Care package;
Sensibly flexible working hours;
Breakfasts, snacks and fruits available during the day, tea and coffee machines;
Friendly team and a family-like environment;
Additional benefits – care bonus to cover health, educational and safety needs.
Location: New York, New York; San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact.
You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion
- Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business
- Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals
- Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews
- Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion
- Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered
- Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system
- Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base
SKILLS YOU'LL NEED TO BRING:
- 4+ years of experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment
- Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans
- Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows
- Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy
- Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes
- Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems
- You’re obsessed with AI, constantly building with the newest tools and learning new ways of working
NICE TO HAVES:
- Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software
- Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path
- Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams
- Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated OTE (On-Target Earnings) range is $166,000-$185,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Canada, Waterloo, ON
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Product Manager
Waterloo, ON
Build what’s next for players.
We’re a startup inside Sony PlayStation: fast-moving, experimental, and highly ambitious, while backed by the scale, resources, and trust of Sony Interactive Entertainment.
We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to build at startup speed and drive meaningful impact inside one of the world’s most recognized gaming companies.
We are seeking a hands-on Product Manager to own product discovery, strategy, prioritization, and execution for new mobile and web experiences.
In this role, you will identify new product opportunities, speak directly with users, analyze product behaviour, define new features and initiatives, and manage the product opportunity pipeline from early exploration through launch and iteration.
You will work closely with Design, Engineering, and Marketing to turn ambiguous ideas into clear product direction. You will represent the voice of the user, establish what success looks like, and help the team decide what to build, why it matters, and how we will know whether it worked.
Responsibilities
Define and evolve the product vision, strategy, roadmap, and opportunity pipeline for new mobile and web experiences.
Identify and validate new product opportunities through user interviews, surveys, behavioural data, market research, competitive analysis, and rapid experimentation.
Develop a deep understanding of user needs, motivations, behaviours, and pain points, and represent the voice of the user throughout product development.
Translate user insights, business opportunities, and technical possibilities into clear product initiatives, feature concepts, product briefs, requirements, and success criteria.
Evaluate and prioritize opportunities based on user value, strategic alignment, expected impact, confidence, development effort, technical risk, and speed to learning.
Own product planning and the development pipeline, including roadmap prioritization, task creation, sprint planning, progress tracking, and maintaining alignment across the team.
Partner closely with Design and Engineering to take products and features from early concept through prototyping, development, launch, measurement, and continuous improvement, balancing short-term learning with long-term product quality.
Define product goals, key performance indicators, measurement frameworks, and analytics requirements before features are launched.
Live directly in the data to analyze acquisition, onboarding, activation, engagement, retention, conversion, and other key user behaviours.
Develop hypotheses and lead structured experiments, including prototypes, concept tests, usability studies, A/B tests, and staged product releases.
Use quantitative and qualitative insights to evaluate product performance, identify opportunities, and recommend whether to iterate, scale, reposition, or stop an initiative.
Partner with Growth Marketing to connect audience insights, acquisition performance, onboarding, engagement, and retention into a cohesive product-growth strategy.
Lead cross-functional product discussions, resolve trade-offs, identify dependencies and risks, and maintain alignment across internal and external stakeholders.
Communicate product strategy, priorities, decisions, progress, results, and recommendations clearly to engineers, design, marketing and leadership.
Establish scalable product-development practices, including discovery methods, opportunity assessment, prioritization frameworks, planning rhythms, decision records, and post-launch reviews.
Requirements
5+ years of product management experience, including significant ownership of consumer-facing mobile, web, social, gaming, marketplace, or other digital product experiences.
Bachelor's Degree or equivalent practical experience.
Proven track record of taking new products, features, or major initiatives from early discovery and validation through launch and iteration.
Strong product-discovery skills, including experience planning and conducting user interviews, synthesizing qualitative research, testing concepts, and identifying unmet customer needs.
Strong analytical and quantitative skills, with hands-on experience using product analytics and business-intelligence tools to analyze funnels, cohorts, engagement, retention, and product performance.
Ability to work directly with data using SQL or an equivalent analytical workflow, with enough fluency to independently investigate questions and validate hypotheses.
Experience defining product goals, KPIs, instrumentation requirements, experiment plans, and success criteria.
Demonstrated ability to translate ambiguous opportunities into clear product strategies, roadmaps, requirements, and actionable plans.
Strong prioritization and decision-making skills, including the ability to evaluate trade-offs between user value, business impact, speed, technical complexity, and long-term maintainability.
Experience working closely with designers and engineers to deliver high-quality products in an iterative development environment.
Strong understanding of modern consumer product development, including user-centred design, experimentation, agile delivery, and metrics-informed iteration.
Strong written, verbal, facilitation, and presentation skills, with the ability to communicate complex product decisions clearly to technical and non-technical audiences.
Ability to operate independently, create structure, and maintain momentum in an ambiguous, technically complex, and fast-moving zero-to-one environment.
Strong user and customer focus, with the judgement to balance experimentation and speed with trust, privacy, usability, accessibility, and long-term product quality.
Bonus
Experience building social, community, communications, or network-driven consumer products.
Experience in gaming, mobile games, entertainment, or another highly engaged digital consumer category.
Deep knowledge of player behaviours, gaming culture, online communities, and industry trends.
Experience as a founding, first, or sole product manager on an early-stage product team.
Experience with real-time or social product capabilities such as messaging, presence, notifications, activity feeds, groups, identity, discovery, or recommendations.
Experience developing product-led growth loops involving invitations, referrals, sharing, re-engagement, community participation, or network effects.
Advanced experience with SQL, experimentation platforms, data visualization, statistical analysis, or product analytics tools.
Experience building scalable and localized consumer experiences for diverse international markets.
Experience working on trust and safety, privacy, moderation, parental controls, or other sensitive consumer-platform considerations.
Experience launching a new consumer product through private testing, beta, soft launch, and broader market release.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
The estimated Ontario base pay range for this role is listed below.
$124,100
—
$174,100 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions.
On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base.
On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement.
We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative, a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions.
The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests.
What Success Looks Like
In 3 months
Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate
Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement
Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders
In 6 months
Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting
Be a credible, independent presence in front of the customers or partners tied to your engagement
Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement
Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement
In 12 months
Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work
Actively identify and pursue opportunities for automation, scalability, and reuse across your work
Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading
What You'll Be Doing
Technical Analytical Delivery
Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it
Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments)
For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others
For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership
Build dashboards, provider scorecards, registries,
self-service reporting tools, benchmarking views,
and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it
Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own
Program and Project Management
Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues
Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background
Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage
Lead cross-functional analytic initiatives that span multiple teams or engagements
Customer and Cross-Functional Partnership
Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly
Partner with Customer Management, Growth, Product,
Technical Operations,
and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation
Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product
,
rather than defaulting to whatever's asked
Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications
Team Contribution
Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery
Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement
Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant
Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out
What You'll Bring
Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it
Healthcare data experience — claims and/or clinical data, with value-based care familiarity
Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight
Comfortable adopting AI tooling as a standard part of an analytical workflow
For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts
Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat.
Would Love For You To Have
Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap
Dashboarding experience — QuickSight or a comparable BI tool
Enough quantitative/ML fluency to build models and hand them to a Data Science team for training
Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics
Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc.
Direct experience with clinical quality or accreditation registries
Prior experience with state Medicaid programs or similar large government health programs
Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account
Experience working within a prime contractor or partner structure on shared delivery
Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications
Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence
Experience with data governance or data-product/monetization considerations
Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process.
What You'll Get
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science
Employee driven programs and initiatives for personal and professional development
A flexible, remote-friendly company with personality and heart
Competitive compensation and strong benefits, including Flexible Time Off
The opportunity to:
Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products
Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement
Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve
Senior Analyst:
$125,000 – $145,000 a year
Lead Analyst:
$145,000 – $170,000 a year
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Remote, Canada; Remote, United Kingdom; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
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Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritizing what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.
You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritization. They bring the technical depth, production-grade delivery, and architecture decisions. You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure.
What you'll do
Strategy & Prioritization
Own your function's AI strategy,
aligned with your Executive Sponsor and business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you'll measure impact, and track progress over time.
Map how work flows
across your function end-to-end, including the handoffs upstream and downstream to other orgs. Identify where the real constraints are, not just the ones your team can see. Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
Manage intake
of AI requests, ideas, and pain points from across the function, including via your Champion network. Ensure every team member has a clear route to surface what they need, rather than building independently.
Prioritize strategically
against business outcomes and executive guidance. Hold the line on priorities - we cannot change direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work.
Adoption & Change Management
Reimagine, not just automate.
Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
Drive adoption and change management
together with the AI Engineer. The best AI solution is worthless if nobody uses it. Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins. Own the rollout and iteration needed to make AI initiatives stick.
Coordinate with Enterprise AI
to ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business.
Build and bridge the Champion network in your function.
Champions are the peer community that extends your reach beyond what you and the AI Engineer can deliver directly. From early in the role, identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI. Champions are not your reports: you coordinate them, you don't manage them. Without this network, your reach is capped.
Hands-On Building & Agent Operations
Build AI agents
using no-code and low-code platforms (e.g. Glean, Workato, similar tools). Go from idea to working prototype without waiting for engineering.
Author and iterate on skills files
that define how AI agents behave. Refine instructions based on real usage and share reusable skills across the function.
Configure MCP servers and tools,
giving agents access to the business systems they need. Partner with the AI Engineer on what to connect and how to do it securely.
Own your function's fleet of agents.
Some agents will be used directly by people in your org. Those that aren't, you own. Either way, you're accountable for their performance: tracking KPIs, running evaluations after model or data changes, and iterating based on what you learn.
Expect to rebuild.
AI tools and models evolve fast. The agent you built last month may need to be replaced, not patched. You should be comfortable sunsetting your own work when a better approach emerges, and helping your org stay current rather than attached to what exists today.
What you'll bring
Business & Strategic
Deep knowledge of your function's operations.
You understand how work moves through your org, where it gets stuck, and why. You can trace a process end-to-end and explain how it connects to the teams around it.
Strategic prioritization skills.
You've managed competing demands before and can make hard calls about what matters most. You think in terms of business outcomes, not activity.
A product management mindset.
You naturally think about intake, backlog, iteration, and adoption. You're comfortable defining success metrics and holding yourself accountable to them.
Strong communication and influence.
You'll be the person saying "not yet" to some teams and "think bigger" to others. You need the credibility and interpersonal skills to make both of those conversations land.
Cross-functional instincts.
You default to understanding how your org's processes affect and are affected by the teams around you - not just optimising in isolation.
Experience building peer networks or communities of practice.
You've recruited and sustained volunteer contributors before, whether as a guild lead, champion program owner, or community organizer. You know how to motivate people whose time you don't directly own.
Hands-On & Technical
Comfortable building with AI tools.
You don't need to write production code, but you should be able to build a working agent, configure a skill, connect an MCP server, and troubleshoot when something isn't working. Think: power user, not software engineer.
Ready to learn fast.
Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration. You'll be trained on GitLab's specific tooling, but you should arrive ready to get your hands dirty.
Strong conceptual understanding of AI capabilities
- summarization, classification, generation, automation, agentic workflows - and a commitment to staying current. The landscape shifts constantly. The tools you use today may be obsolete in weeks. You stay on top of new developments so that your org's AI strategy reflects what's actually possible, not what was possible six months ago.
Ability to map data flows
- structured and unstructured. Understand where agents need context, and figure out where humans should interface with automated workflows and at what steps.
About the team
You will partner closely with Enterprise AI within the Enterprise Technology & AI organization, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritization, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI transformation.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$203,200
—
$345,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
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. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer based in the US, you’ll lead the electrical design of our facilities across our rapidly expanding US portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication and modular construction. You’ll help drive Anthropic’s offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — that compress schedules and reduce onsite labor. You’ll bring deep familiarity with US electrical codes and the local network and regulatory environment, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs), agencies having jurisdiction, vendors, and contractors. This is also a highly cross-functional role: you’ll work with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify regional equipment vendors and create optionality in a constrained market.
Responsibilities
Electrical design & engineering
Lead the electrical design of critical data center equipment across the US portfolio, including utility interface and substation, site-wide medium-/high-voltage infrastructure, generators, uninterruptible power supplies (UPS), switchgear, transformers, and grounding systems.
Develop and maintain Anthropic’s electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet or exceed our quality requirements while staying within budgetary targets.
Perform and validate engineering studies including short-circuit, protection coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection.
Read, interpret, and validate data center floor plans and technical drawings, and design and plan DC hall layouts for newly allocated spaces — including rack positioning, structured cabling, power distribution, and coordination with the cooling design.
Prefabrication & modular delivery
Drive Anthropic’s prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities and a productization roadmap that accelerates deployment and reduces onsite labor.
Design for offsite manufacture and onsite assembly: coordinate the interface between prefabricated components and onsite installation, and manage temporary power sequencing tied to commissioning milestones.
Drive standardization of modular electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations.
Partner, vendor & utility coordination
Review and approve electrical design packages, submittals, and shop drawings from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements; review proposed technologies and clarify design justifications.
Work with regional vendors and manufacturers to specify the appropriate electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk.
Work with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to understand and define site utility and network connection requirements, and with local agencies having jurisdiction to ensure compliance with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, and ANSI requirements, and other jurisdictional requirements.
Present findings and proposals to internal stakeholders and DCO teams through clear reports and presentations, and defend design positions when challenged.
Delivery, construction & commissioning
Define project scope and provide technical support for information requests prior to and during construction; coordinate and oversee the implementation of data center infrastructure with vendors, contractors, and internal teams, ensuring work follows approved designs and complies with safety, regulatory, and operational standards.
Work with commissioning teams to test and validate the installation, operation, and performance of electrical systems; resolve field engineering issues and review test results against design intent.
Manage concurrent projects across multiple geographies, and travel to sites for design review, electrical systems audits, engineering evaluations, and startup support alongside onsite field engineers.
Contribute to the continuous improvement of Anthropic’s internal electrical design standards and delivery practices, and act as a leader within the global engineering group and across the internal and external teams that support our data centers.
You may be a good fit if you
Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design across the project lifecycle — from concept design through construction, commissioning, and handover.
Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E (electrical safety), IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558 for switchgear) — and with local utility interconnection and regulatory requirements (utility interconnection processes, ISO/RTO market rules).
Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the coordination between prefabricated components and onsite assembly.
Hold a bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field; RPEQ or CPEng registration (or eligibility) is valued but not required.
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center schematics and technical layouts with confidence.
Have strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure in high-availability data center environments.
Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower.
Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets.
Have worked directly with electrical equipment manufacturers, vendors, and contractors, and can evaluate products on technical merit, not just datasheet claims.
Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it.
Strong candidates may also have
Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) and deep familiarity with the National Electrical Code (NFPA 70), NFPA 70E, and the IEEE color book series alongside the US standards above.
A track record building modular prefabricated products in electrical or mechanical areas of the data center, and driving designs toward offsite manufacturing.
Background in medium-/high-voltage distribution, on-site generation, or energy storage integration, including battery energy storage systems (BESS) and renewable generation sources.
Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution.
Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients.
Experience driving reference designs or standards adopted across multiple sites or by external partners.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
How this role fits within Procurement
Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process).
Responsibilities
Contract management and templates
Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and commercial strategy
Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor management and value creation
Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
Manage escalations between R&D teams and vendors and drive them to resolution
Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
You may be a good fit if you have
7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Strong candidates may have
Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
Experience designing vendor scorecards, SLA frameworks, and performance management programs
Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Mexico City; Lima; Asunción; Uruguay; Buenos Aires; Sucre; Panama; San José; puerto rico; Bogotá; San Salvador; lisbon; Greater Toronto Area, Canada; Santiago
Workplace: remote
IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion.
IDT is looking for a hands-on Mobile Paid Media/Growth Manager to support our marketing team. In this role you will assist in executing and scaling paid campaigns across multiple digital channels, helping grow the user base for two of our flagship apps, Boss Money and Boss Revolution. This is a great opportunity for someone looking to develop their UA skills through smart strategy, continuous testing, and data-driven optimization.
* The interview process will be conducted in English.
What You'll Do:
Support the execution of paid campaigns across multiple channels, including Google Ads, Meta, TikTok, Snapchat, Reddit, X and others, assisting with strategy, setup and daily optimization.
Help develop and execute channel strategies to contribute to user acquisition targets (CPI, CPA, ROAS).
Analyze the full performance funnel from ad impression through install, activation and downstream conversions, connecting paid media inputs to outcomes that inform budget and optimization decisions.
Support creative testing from concept to completion, executing A/B tests and helping establish a structured testing framework.
Monitor and measure creative performance to evaluate how UA optimizations and changes influence results.
Identify areas of improvement by analyzing performance data and converting insights into clear actions.
Support the day-to-day collaboration with designers and creative teams to ensure ad assets are aligned with each app's messaging and audience.
Continuously seek to learn and experiment with new channels, optimization strategies and creative concepts, staying ahead of the latest trends in mobile user acquisition.
Experience or interest in leveraging AI tools to support day-to-day marketing tasks, from creative production and copywriting to campaign workflows and performance analysis.
Requirements:
3+ years managing paid campaigns in a UA, performance marketing or growth role.
B2C + App acquisition experience needed.
Hands-on experience with paid social platforms such as Meta, TikTok, and Snapchat.
Strong analytical mindset with the ability to analyze performance data and turn it into clear optimization decisions.
Fluent in English, written and spoken.
Nice to have:
Experience working with Tableau.
Experience with fintech, remittance, or financial apps.
Familiarity with MMPs.
Experience with additional paid channels, such as Google Ads, DSPs, Reddit, and others, is a plus.
Basic understanding of ASO (App Store Optimization) and its role in driving organic and paid app growth is a plus.
Working knowledge of AI tools for marketing (creative, copy, analysis, or workflow automation).
Experience with influencer marketing.
What we offer:
100% Remote work opportunity for the
Latam region
!
B2B Employment ($, gross).
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Really good hardware.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
Please attach CV in English.
The interview process will be conducted in English.
Only accepting applicants from LATAM.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Priority application deadline:
Applications will be reviewed on a rolling basis. Early applications are heavily encouraged.
We’re growing at incredible speed, and expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. We’re hiring a
Chief Technology Officer
to lead the building and rebuilding of the technology, systems and ways of working that will enable a sustained $5B+ p/a operation.
You will build software that safely and securely moves billions of dollars to millions of vulnerable people in some of the poorest and highest need parts of the world. This will require applying excellent engineering, team building and organizational judgment to complex, high-stakes operations: identity and fraud management, machine learning on large but imperfect datasets (cell phone data, satellite imagery, government registries), mobile money integrations, low-connectivity environments, rapidly evolving requirements all in diverse regulatory environments and country contexts. You’ll need to keep our legacy technology stack stable and performant, while in parallel building new systems from the ground up for our next level of scale.
You will lead engineering, data, security and enterprise technology – with a small, mighty and rapidly growing engineering team of ~15, and the expectation that this can at least double to ~30 in the next 12 months if you want it to. You’ll report to a CEO with deep experience running technology companies, and partner with our VP Product.
This role is remote, with working hours between US Eastern Time and East African Time, and some preference for candidates in our office hubs of New York, London, or Nairobi.
What we’re looking for:
An exceptional hirer, manager and organizer of technical talent.
Proven record identifying, hiring, developing and retaining excellent engineers and engineering leaders, and creating team processes that consistently deliver software with quality and velocity.
Deep technical judgment, applied close to the work.
You can evaluate major designs, pressure-test architecture and build-vs-buy decisions, and recognize when a team is heading the wrong way, without becoming the primary implementer. Low-ego: you’ll investigate a problem yourself when that’s what the situation requires.
Business judgment and decisiveness under ambiguity.
You’re not just a technical leader, you’re also a business executive. You understand the business, are a strong cross-functional partner, and have a history of good judgment when navigating tradeoffs of long vs. short term, speed, reliability, security, flexibility, cost, technical quality, and user impact.
AI first.
You have a point of view on where AI meaningfully changes engineering productivity and organizational capability, and you’ve moved a team from experimentation to real, measured use. You can set the tools, culture, goals, and guardrails that leverage the opportunities and mitigate the risks of an AI first engineering culture.
Embody and set an example for GD values.
We take
our values
incredibly seriously, and expect our leaders to embody, nurture, and promote them in the way they work and the teams they build.
Advantages, not requirements.
Experience in an operationally complex or regulated domain (fintech, payments, humanitarian response, global development); systems involving financial controls, fraud risk, identity, or sensitive recipient data; operating across multiple countries, particularly lower-income or infrastructure-constrained ones; leading both modern product engineering and enterprise technology.
What you’ll do
Define our technology vision and target stack.
Own the technical strategy for technology-first delivery at $5B+/year: architecture, platforms, build-vs-buy, and what we retire. Work with executive, product, finance, risk, and data leaders to turn program and product strategy into a sequenced, credible portfolio of technical investments.
Balance a demanding portfolio.
You'll manage six workstreams that all matter and won't all move at once: (1) building our new cash delivery stack (remote-first verification, fraud prevention, massive volume) (2) stabilizing our legacy stack until switchover, then managing the migration; (3) donor-facing fundraising products; (4) our global emergency cash system (and eventual white-labelling of that product); (5) enterprise technology; (6) internal tooling, platform, and cybersecurity. Deciding sequencing and staffing across these (and saying "not yet" credibly) is the job.
Build and grow an exceptional technology organization.
Recruit outstanding engineering and technology talent, design the org GiveDirectly needs at its next stage of scale (engineering, product, data, security, infrastructure, enterprise systems), and create the accountability, decision rights, and career paths to sustain high talent density. Grow the engineering team from 15 to ~30 with a lean but durable management structure.
Own the technical direction and quality bar.
Guide consequential decisions on integrations, data, security, reliability, and technical debt. Ensure our systems can safely support a major increase in transaction volume, geographic reach, and organizational dependence on technology. Set a pragmatic quality bar appropriate to high-stakes financial delivery while preserving speed.
Lead across organizational boundaries.
Serve as a member of GiveDirectly’s executive team, reporting to the CEO and bringing technology into major strategic and operating decisions. Help non-technical leaders understand technical constraints and costs, build credibility with country and functional leaders by understanding their realities, and force clarity when priorities, ownership, or tradeoffs are ambiguous.
Travel.
Approximately 4–6 trips per year, including visits to GiveDirectly countries of operation.
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy so pay is consistent across comparable roles.
Total Compensation (US) of $366,000 – $518,000
comprised of:
Base Salary: $300,000 – $375,000
Bonus: $45,000-$112,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process)
Annual Benefits Stipend: ~$21,000
Total Compensation (UK) of £225,000 – £317,000 comprised of:
Base Salary: £193,400 – £241,700
Bonus: £29,000 – £72,500 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process)
Annual Benefits Stipend: £2,760
Total Compensation (Kenya) of $333,000 – $467,000 comprised of:
Base Salary: $282,500 – $353,100
Bonus: $42,000 – $106,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process)
Annual Benefits Stipend: $8,453
If you are not based in one of the countries listed above, we will share an estimated salary benchmark for the country you are based in during the hiring process.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: UAE
About the Role
We're looking for a Partner Sales Director-MEA, based in the UAE. This is a high-energy, relationship-driven professional who can accelerate revenue by driving partner-sourced and partner-influenced sales across ClickHouse's Middle Eastern partner markets.
This is a quota-carrying role responsible for working hand-in-hand with our field sales teams and strategic partners, including system integrators (SI's & FSI's), ISVs, and channel partners across the Middle Eastern partner markets to identify, influence, and close new opportunities. You'll also play a key role in expanding and deepening our partnerships throughout these markets, helping source new opportunities, develop joint solutions, and ensure successful project delivery.
The ideal candidate is a self-starter with strong sales instincts, partnership acumen, and executive presence. We are looking for someone who can think strategically while executing rigorously to deliver incremental revenue and pipeline growth across the Middle East.
What You'll Do
- Own and deliver against a revenue quota for partner-sourced and partner-influenced bookings across the Middle Eastern partner markets.
- Collaborate closely with the field sales teams to integrate partners into key account strategies and deal cycles.
- Build and execute strong joint sales motions with SIs, FSI's, ISVs, and channel partners to expand ClickHouse's reach and accelerate pipeline across these markets.
- Serve as the primary partner sales interface for the Middle Eastern partner markets, ensuring alignment between regional sellers, partners' field teams, and global partner programs.
- Develop and execute joint account plans, campaigns, and demand-generation activities with priority partners across these markets.
- Drive joint forecasting, pipeline visibility, and reporting to ensure partner contributions are tracked and recognized.
- Identify, onboard, and develop strategic system integrator (SI) and ISV partnerships that can both source new opportunities and deliver successful implementations.
- Define joint GTM plays, delivery frameworks, and enablement paths to ensure scalable, repeatable customer success.
- Collaborate with internal and external stakeholders to drive SI and ISV delivery readiness and certification.
- Work closely with the global and regional Partner, Sales, and Marketing teams to ensure alignment of partner strategy, programs, and field execution across these markets.
- Collaborate with Product and Solutions Engineering to support partner-led projects, and proof-of-concepts.
- Serve as the voice of the Middle Eastern partner ecosystem, providing feedback and insights to shape ClickHouse's broader partner strategy.
- Maintain accurate partner pipeline data, revenue forecasts, and performance metrics.
- Lead quarterly business reviews (QBRs) with key partners and internal stakeholders.
- Continuously refine partner engagement models based on data-driven insights and field feedback.
Who You Are
- Experienced Sales & Partnerships Professional: 10+ years in enterprise software sales, channel sales, or strategic alliances; ideally in cloud, data, or analytics space.
- Quota-Carrying Performer: Demonstrated success meeting or exceeding sales and revenue targets through partner ecosystems.
- Partner-Savvy: Deep understanding of SI, FSI, and ISV partner models — including co-sell, marketplace, and resale motions.
- Strategic + Tactical Operator: Can develop GTM strategy and also roll up sleeves to drive execution with field and partner teams.
- Strong Communicator & Influencer: Excellent verbal, written, and presentation skills; comfortable engaging both internally and externally at executive levels.
- Relationship Builder: Skilled at navigating complex partner organizations, aligning incentives, and building long-term, trust-based relationships.
- Self-Starter with Grit: Operates autonomously, thrives in high-growth environments, and drives outcomes without heavy structure.
- Collaborative Team Player: Works seamlessly across sales, marketing, product, and partner functions; coachable and open to feedback.
#LI-DNI
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Dubai, United Arab Emirates
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
This role offers the chance to drive OKX’s growth in the MENA region by acquiring new VIP clients while building long-term relationships with our existing high-value client base. You will play a key part in shaping and executing our regional VIP strategy, expanding OKX’s footprint across the local market and working closely with regional and global growth, product, and business intelligence teams.
What You’ll Be Doing
Identify, engage, and onboard prospective VIP clients across the MENA region while serving as the primary point of contact for an existing portfolio
Build and strengthen client relationships through strategic outreach, consistent communication, client profiling, and a deep understanding of their trading needs
Develop a strong pipeline of high-value prospects through market intelligence, industry networks, referrals, events, and other relevant channels
Guide prospective and existing clients through OKX’s product offerings, VIP structure, onboarding journey, and platform updates
Drive revenue growth by converting new opportunities, increasing engagement across existing accounts, and identifying ways to scale business partnerships
Collaborate with stakeholders across growth, product, and BI teams to support client acquisition and deliver optimal experiences throughout the client lifecycle
Contribute to regional growth strategies and actively participate in online and offline marketing activities, client engagements, and industry events
What We Look For In You
4+ years of experience in business development, account management, VIP sales, or client services within cryptocurrency, finance, FX, or a related field
Proven track record of acquiring VIP or high-value clients and successfully managing and growing client portfolios
Strong relationship-building, prospecting, negotiation, and closing skills
Strong analytical and problem-solving skills with a data-driven approach to pipeline development and portfolio growth
Experience working with trading platforms or exchanges is highly advantageous
An established network within the MENA trading, investment, or digital asset ecosystem is a strong advantage
Fluency in English required; Arabic language skills are a plus
Open to business travel across MENA and other regions as required
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-GB1
#LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: San Francisco; United States
Workplace: Remote
About the Role
We’re looking for a strong communications contractor to support OpenAI’s vertical communications work across health, education, and personal finance. These are deeply personal, high-impact areas where trust, clarity, and responsible storytelling are especially important. This person will help communicate how OpenAI’s models and ChatGPT capabilities can be useful to people in real-world moments, while helping ensure our narratives are credible, thoughtful, and aligned with OpenAI’s mission.
This role is ideal for someone who can move quickly from strategy to execution, bring strong editorial judgment, and partner well across product, policy, legal, marketing, research, and communications teams.
In this role, you will:
- Support launch execution for priority vertical moments, from messaging development and launch planning to media strategy, stakeholder coordination, and post-launch follow-through.
- Own ongoing proactive campaigns across verticals, partnering cross-functionally to identify strong storylines, build campaign calendars, and move work from idea to execution.
- Translate complex technical product work and broader OpenAI progress into clear, audience-specific narratives tailored to health, education, personal finance, and other priority audiences.
- Draft and refine high-quality communications materials, including messaging, pitches, briefing docs, talking points, FAQs, launch plans, media strategies, and executive-ready summaries.
- Keep a strong pulse on external sentiment, media narratives, and emerging risks, helping manage brand considerations while unblocking dependencies and keeping campaigns moving.
- Build trusted relationships with cross-functional partners and help create clarity across fast-moving, sometimes ambiguous workstreams.
You might thrive in this role if you:
- Are a strong writer and editor who can make complex or technical topics feel clear, grounded, and human.
- Have sound judgment around sensitive, trust-heavy topics and know how to balance opportunity, risk, and nuance.
- Are highly organized and comfortable managing multiple launches, campaigns, stakeholders, deadlines, and approvals at once.
- Can operate independently, move quickly, and bring structure to ambiguous work without needing heavy oversight.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a
Senior Program Manager
within GitLab's Enterprise Technology organization, you will lead the planning, execution, and delivery of complex, cross-functional technology programs that advance our enterprise IT strategy. You'll serve as a trusted advisor and program execution partner to IT leadership, translating strategic objectives into structured roadmaps and measurable outcomes. This is a highly visible role that requires both technical fluency and business acumen, with the ability to navigate ambiguity, align diverse stakeholders, and drive decisions across teams.
You will operate at the intersection of IT, Finance, Legal, Product, and Business operations, bringing structure and clarity to programs that span multiple domains and functions. Whether standing up new capabilities, improving governance practices, or scaling operational processes, you will be the connective tissue that keeps programs moving, risks surfaced, and stakeholders informed.
What you'll do
Own end-to-end program management for large-scale or high-complexity Enterprise Technology & AI initiatives, including scope definition, roadmap development, resource planning, and delivery tracking
Define and communicate clear success metrics for each program, reporting status and risk to Enterprise Technology & AI leadership on a regular cadence, and escalating issues with recommended paths forward
Partner with business and technology stakeholders to develop a deep understanding of underlying problems, desired outcomes, and solution trade-offs
Drive cross-functional alignment by facilitating decision-making, resolving dependencies, and maintaining momentum across distributed teams
Recommend and implement improvements to program governance frameworks, intake processes, and ways of working across the CIO org
Translate complex technical and business requirements into clear, actionable work plans accessible to both technical and non-technical audiences
Anticipate risks and interdependencies across the portfolio, proactively mitigating blockers before they impact delivery
Model GitLab values and remote work best practices, contributing to a high-trust, async-first team culture
What you'll bring
6+ years of program management experience, with a strong track record delivering large, cross-functional Enterprise Technology & AI programs
Demonstrated ability to simplify complex processes and build structured approaches to ambiguous problems
Experience influencing without authority, earning trust with senior stakeholders, and driving alignment across functions, including Finance, Legal, Sales, and Product
Comfortable operating at both a strategic level and in the details, switching between executive communication and hands-on program execution as needed
Strong written and verbal communication skills, with experience presenting program status, risks, and recommendations to ETA leadership and Executive audiences
Familiarity with Enterprise IT domains such as business systems, data, AI, security, infrastructure, or enterprise architecture (depth in one or more areas preferred)
Proficiency with program and project management tools and methodologies (Agile, Scrum, SAFe, or similar); PMP, CSM, or equivalent certification is a plus
Experience working in a remote, globally distributed environment with a bias toward async collaboration and clear documentation
About the team
The
CIO Enterprise Technology & AI
team is GitLab's central engine for improving the systems, data, and AI capabilities that support how we run the business. The team designs and operates enterprise applications, data platforms, corporate IT services, and AI-enabled workflows that help our globally distributed GitLab team members work effectively and securely.
You'll join a team that partners closely with
Finance, Sales, Marketing, People, Product, and Security
to turn business strategy into scalable, reliable technology solutions. The work is broad, visible, and deeply cross-functional, which makes strong program leadership essential. In this role, you'll help teams stay aligned, make progress across complex initiatives, and bring transparency to how strategic work gets delivered across the organization.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$198,200
—
$297,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
УдалённоleadIndia
juniorWarsaw, Poland; Kraków, Poland
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридmiddleNew York, New York; San Francisco, California
Canada, Waterloo, ON
УдалённоleadRemote (USA)
УдалённоRemote, Canada; Remote, United Kingdom; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоRemote-Friendly, United States
География найма не уточнена
УдалённоOnly accepting applicants from LATAM
УдалённоСША; This role is remote, with working hours between US Eastern Time and East African Time, and some preference for candidates in our office hubs of New York, London, or Nairobi
UAE
Dubai, United Arab Emirates
УдалённоseniorRemote, United Kingdom
United States, San Mateo, CA; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
