Location: San Francisco, CA
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
The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on.
One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies.
This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches
Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company
Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it
Evolve the NPI methodology
Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness
Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment
Partner across the company
Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness
Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions
Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core
Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap
Minimum qualifications
Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations
Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology
Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations
Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts
Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose
A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
Bachelor's degree required
Preferred qualifications
Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar)
Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS)
Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations
Familiarity with safety, trust & safety, or security-review processes in a product context
Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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
—
$270,000 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: Portugal; Georgia; Bulgaria; Vietnam; Cyprus; Montenegro
Engage with the business objectives behind key tasks: pricing for B2B/B2C, forecasting and optimization of financial and operational metrics, incident prioritization, and improving customer journey efficiency (revenue growth, cost savings, business impact).
Drive ML projects end-to-end: from problem definition and formalization to modeling, piloting, and presenting results.
Collaborate with data engineers to collect the necessary datasets and assess implementation feasibility.
Work with analysts on A/B test design: defining metrics, splits, and interpreting results.
Develop models (classic ML and DL, time series, uplift modeling), conduct error analysis and performance evaluation.
Prepare models and code for transfer to production infrastructure (deployment and releases handled by the technical team).
Take ownership of model quality, monitor key metrics, and collaborate with the team on degradation issues and improvement plans.
Requirements
3+ years of experience as a Data Scientist.
Proven experience with end-to-end ML projects (ability to oversee the entire process).
Strong knowledge of classical machine learning techniques (feature engineering, classification, regression, boosting, etc.).
Hands-on experience with uplift modeling and time series tasks (with real business applications).
Experience working with business stakeholders and understanding optimization problems: pricing, B2C, LTV, retention, AB testing, and more.
Proficient in Python for DS/ML (writing clean, readable code for models and experiments).
Confident SQL user (able to build datasets, write joins, and perform data analysis).
Nice to have: experience with MLflow/DVC, pipelines (Airflow or similar), anomaly detection/anti-fraud, deep learning (PyTorch/TensorFlow), and model monitoring.
Benefits
A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward;
Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model;
We are an ambitious and supportive team who love what they do, appreciate each other, and grow together;
The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee;
We also provide partial compensation for employees participating in external training and conferences;
In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world;
And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services;
We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.
Learn more about our data protection practices in our Privacy Policy:
https://www.emergingtravel.com/career/hr-policy/
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: United States, San Diego, 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.
As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users.
This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed.
Responsibilities:
Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams.
Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices.
Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers.
Required Skills:
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
Experience:
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking.
Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus.
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.
$199,400
—
$299,200 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.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render.
WHAT YOU'LL DO
- Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base.
- Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models.
- Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers.
- Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews.
- Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events.
- Work with our technology partner team to build a co-sell motion for large & enterprise accounts.
- For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account.
- Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue.
- Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral.
- Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams
- Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures.
- Build out a team of partner managers over time, dedicated to each partner type.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company.
- A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building.
- Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process.
- Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions.
- A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated.
- Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them.
- Comfort operating at the executive level, both with partner leadership and internally at Render.
- A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking.
NICE-TO-HAVES
- Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company.
- Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners.
- Experience navigating the emerging AI SI / AI consulting partner category.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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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.
*
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
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, Remote
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.
Technical Planning Analytics Analyst
Remote, United States
*This is a 6 month contract assignment
At Sony Interactive Entertainment (SIE), we are committed to redefining the future of Finance through innovation, transformation, and operational excellence.
This role sits within SIE’s Finance Transformation Office (FTO) and supports PARIS, a business-critical IBM Planning Analytics (TM1) platform used across the SBG Finance planning process. The Business Analyst will help ensure the platform is reliable, available, and appropriately configured throughout budget and forecast cycles.
Working across Finance and technical teams, this role will support users, troubleshoot system and data issues, contribute to requirements and testing, and help drive improvements in planning processes, automation, and data flows. The ideal candidate brings a strong understanding of FP&A and financial planning systems, with TM1 experience preferred and other enterprise planning platforms also considered.
Role & Responsibilities
Provide support to users of the
IBM Planning Analytics
finance planning tool throughout the planning cycle, including annual budgeting and quarterly forecasting. Responsibilities include:
Application administration
New user setup
Support for reports created using Planning Analytics for Excel
Resolution of ad-hoc user queries
Maintenance of system documentation
Delivery of end-user training
Partner with FP&A and technical teams to identify and implement system improvements within IBM Planning Analytics in alignment with the departmental roadmap.
Work alongside the development team on key workstreams, including:
Requirements gathering
Test case preparation
Unit testing
Documentation
Training and user handover
Delivery of system upgrades and enhancements
Project manage and deliver system upgrades and improvements based on change requests, including testing code updates and roadmap changes as required.
Understand data flows and identify opportunities to make them more dependable and repeatable while strengthening integrations with other enterprise tools.
Continually improve reporting and analysis processes by automating or simplifying self-service support for customers.
Challenge the status quo and identify process improvement opportunities that drive innovation.
Perform other system-oriented duties as required by business needs.
Skills & Experience
Strong understanding of finance principles, with previous experience supporting financial planning, budgeting, and forecasting processes and working with finance analysts.
Ability to interact effectively with users at all levels of seniority and manage stakeholder expectations across the organization.
4+ years of IBM Planning Analytics development experience (v2.0 or higher), including knowledge of:
Server installation and system configuration
Cube and application design
Planning Analytics TI and Chores
Rules and Feeders
Planning Analytics Security, including Element Security
MDX and SQL
Planning Analytics REST API, preferably through Cubewise Canvas
Hands-on experience with:
Python
TM1Py
HTML
JavaScript
Excellent verbal, written, and presentation skills.
Proficiency with Microsoft Excel.
Bachelor's degree or equivalent.
Preferred Skills
Exposure to master data management solutions.
Experience with Cognos BI integration.
Knowledge of Lean/Six Sigma process improvement methodologies.
Educational or professional background in Computer Science, Finance, Economics, Statistics, or a related field.
Desire to continue developing technical knowledge and skill sets.
Please note:
Candidates invited to the interview stage will be required to complete a
technical assessment
.
#LI-SV1
#Remote
At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$113,500
—
$170,300 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.
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: 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 vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry.
As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners.
A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply.
Responsibilities
Design direction & review
Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems.
Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements.
Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction.
Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines.
Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations.
Prefabrication & modular delivery
Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor.
Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations.
External partner & vendor coordination
Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio.
Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure.
Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets.
Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk.
Construction & commissioning
Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice.
Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed.
Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent.
You may be a good fit if you
Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover.
Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9).
Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations.
Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture.
Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams.
Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required.
Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions.
Are able to travel up to ~30% to data center sites across the region.
Strong candidates may also have
15+ years of experience designing building mechanical systems for data centers or mission-critical facilities.
Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon).
Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis.
Familiarity with controls/BAS systems and sequences of operation for cooling plants.
Experience preparing SOWs, facility audits, and TCO analyses.
A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing.
Proficiency with Revit MEP or AutoCAD MEP.
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: 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.
*
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 Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation.
You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams.
Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data
Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes
What you’ll do
Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation.
Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.
Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules.
Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments.
Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps.
Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient.
Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent.
Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers.
What you’ll bring
Experience delivering customer-facing migration, installation, training, or technical advisory engagements.
Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows.
Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.
Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues.
Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity.
Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby.
Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment.
PubSec/Federal experience a plus.
A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role.
About the team
Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success.
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
$126,400
—
$213,600 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
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA
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
Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up.
We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone.
You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought.
Key responsibilities
Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback
Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes
Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised
Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see
Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes
Produce the audit trail and evidence a SOX-scoped platform needs
Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing
Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults
Minimum qualifications
Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change
Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform
Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are
Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path
Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together
Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept
Preferred qualifications
Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave
Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires
Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins
Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it
Have built approval or notification workflows in Slack or a comparable tool that people actually used
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: United Kingdom; Ireland; Poland
Workplace: Remote
As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work.
WHAT YOU’LL DO HERE
- Set technical direction across Coder’s agent harness, integrations, and workflows.
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Evolve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Lead complex projects from early ambiguity through production.
- Raise the engineering bar through design reviews, code reviews, and technical mentorship.
- Partner with Product and Design on clear, useful agent experiences.
- Improve the reliability, performance, and operability of agentic systems.
WHAT WE’RE LOOKING FOR
- Deep experience building and operating production software systems.
- Strong hands-on experience with Go.
- Experience with React and TypeScript.
- Hands-on experience building systems around LLMs and agentic workflows.
- Experience with model APIs, tool calling, context management, or agent loops.
- Strong distributed systems knowledge.
- Working knowledge of AWS.
- A track record of setting technical direction without formal authority.
- Strong architectural judgment and comfort working through ambiguity.
- Someone who makes the engineers around them better.
OUR TECH STACK
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with agent tools, or multi-agent systems.
- Experience building abstractions across multiple model providers.
- Deep experience with AWS, Kubernetes, Docker and Linux.
- Open-source contributions or experience working directly with customers.
Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
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.
Summary:
Lead the Build team within GitLab Delivery, accountable for the strategy, execution, and operational excellence of the systems that turn GitLab source code into secure, verified, and distributable artifacts for Self-Managed and other delivery targets. The role owns the build platform foundations that make component delivery faster, more consistent, and more self-service for development teams, while ensuring artifacts are reliable for customers to install and operate.
Key Responsibilities:
Lead the Build team roadmap across UBT, TUBE, and the broader build platform.
Own delivery of GitLab distributable artifacts, including packages, container images, and cloud marketplace images.
Drive a build-once, deploy-everywhere model across Omnibus, CNG, and future delivery targets.
Lead centralized dependency management and coordinated dependency updates across components.
Ensure supply chain security through SBOMs, provenance, vetted dependencies, and compliant build isolation.
Create self-service onboarding paths with standard CI templates, documentation, and paved paths.
Improve build quality and consistency through unified build environments and validation.
Establish observability, dashboards, and metrics for build pipelines and platform impact.
Partner across Delivery and adjacent teams to unblock onboarding and reduce coordination overhead.
What you'll bring:
Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively
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.
Задачи:
- Разработка и поддержка Python-скриптов и микросервисов для интеграции AI-инструментов в банковские процессы
- Исследование и пилотирование AI-платформ (OpenClaw, Claude Code, LangChain и аналоги)
- Участие в проектировании бэкенд-компонентов для взаимодействия с LLM
- Проведение экспериментов: тестирование гипотез, сравнение моделей и инструментов
- Участие в Code Review
Требования:
- Базовое знание Python (ООП, структуры данных, модули)
- Понимание Git (коммиты, ветки, PR)
- Знакомство с FastAPI (учебные проекты) и pytest
- Понимание SQL (простые запросы) и принципов БД
Условия:
- Стажировка 3 месяца с возможностью продления или перехода в штат
ОфисСтажёрМосква
УдалённоPortugal; Georgia; Bulgaria; Vietnam; Cyprus; Montenegro
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.
United States, San Diego, CA; As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features
УдалённоheadRemote: United States
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
United States, Remote; Candidates invited to the interview stage will be required to complete a
УдалённоRemote-Friendly, United States
УдалённоRemote-Friendly, United States
УдалённоRemote, United States; We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success; The base salary range for this role’s listed level is currently for residents of the United States only
San Francisco, CA
УдалённоUnited Kingdom; Ireland; Poland
УдалённоRemote, 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
