Location: Remote, Canada; Remote, Poland; Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer.
Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy.
What you'll do
Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant.
Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry.
Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations.
Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI.
Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback.
Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering.
Join Tier 2
on-call rotations
to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency.
Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic.
What you'll bring
Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models.
Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses.
Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility.
Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus.
Experience finding and fixing performance bottlenecks in applications.
Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team.
Openness to learning and to applying skills from related technologies or fields.
About the team
The
Agent Foundations stage
builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability.
Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features.
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
.
УдалённоRemote, Canada; Remote, Poland; Remote, United Kingdom; Our engineers work async-first across EMEA, AMER, and India timezones
Location: London, UK
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
As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes
Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments.
You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement.
This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now.
Responsibilities
Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.
Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs.
Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product.
Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research.
Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards.
Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries.
Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset - you're here to create a function, not just join one.
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:
£165,000
—
£230,000 GBP
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: London, UK
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
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Native English and (Bonus) Fluency in French, German, Spanish or Italian
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:
£135,000
—
£165,000 GBP
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: London; Europe; Toronto
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role overview:
North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments.
As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about?
This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates.
This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next.
Please note: this team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours.
Key responsibilities:
- Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions.
- Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals.
- Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark.
- Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams.
Qualifications:
- You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection.
- You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence.
- You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs.
- You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on.
- You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding.
- You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks.
If some of the above does not line up perfectly with your experience, we still encourage you to apply.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: India
Senior Video Editor / Motion Graphics Designer
Department: Marketing
Employment Type: Full-Time
Location: India (Remote)
About HIKINEX
HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive
greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our
clients can work on their business instead of in it.
Role Summary
We are looking for a highly creative, detail-oriented, and fast-moving Senior Video Editor to lead the production of high-quality video content across our brands, products, and internal initiatives. This role goes beyond editing— you will help transform ideas into engaging visual stories that educate, inspire, and drive business growth, often working across multiple projects at once with tight deadlines. You will work closely with marketing, product, design, and leadership teams to create content for websites, product launches, training programs, social media, recruiting campaigns, and client marketing.
We're building an AI-first Marketing Department, so experience with modern AI-assisted creative workflows is highly valued.
Key Responsibilities — Video Production
• Edit high-quality promotional, educational, and product videos.
• Produce product demos and feature walkthroughs.
• Create customer success stories and case study videos.
• Develop engaging social media content.
• Produce internal and employer branding videos.
• Create internal training videos and onboarding content.
Motion Graphics & Animation
• Design and animate titles, transitions, icons, and infographics.
• Create animated product explainers.
• Develop branded intro and outro sequences.
• Produce logo animations and motion assets.
Creative Storytelling
• Transform scripts into compelling visual narratives.
• Recommend pacing, music, graphics, and visual effects to improve engagement.
• Ensure videos align with brand guidelines and communication goals.
AI-Assisted Video Production
Leverage AI tools to improve speed and quality throughout the production process.
Asset Management
• Organize video files and project assets.
• Maintain version control and follow company naming conventions.
• Ensure project files are easy for the team to locate and reuse.
Day-to-Day Responsibilities
• Edit assigned video projects efficiently and on schedule.
• Attend project briefings.
• Collaborate with designers and copywriters.
• Review feedback and implement revisions quickly.
• Export videos for multiple platforms.
• Upload final assets to the appropriate repositories.
• Update project progress in project tracking tools.
Required Skills
• Professional video editing with strong speed — able to turn around high-quality work quickly without sacrificing craft.
• Motion graphics and animation principles.
• Visual storytelling and pacing.
• Sound editing and color correction.
• Creative problem-solving.
• Strong time management and ability to juggle multiple projects at once.
• Strong communication and attention to detail.
Tools & Technologies
Adobe Premiere Pro, Adobe After Effects, Adobe Photoshop, Adobe Illustrator, Adobe Audition, DaVinci Resolve (preferred), Figma (basic understanding), Canva AI Tools (Preferred)
Experience with one or more of:
ChatGPT, Claude, Adobe Firefly, Runway, Descript, ElevenLabs, Midjourney, Canva AI, Veo or similar AI video generation tools.
Experience Required
• 3+ years of professional video editing experience, with a demonstrated ability to work at speed and high
volume.
• Strong portfolio demonstrating a variety of work, including product videos, explainer videos, corporate videos, social media content, and motion graphics.
Portfolio Requirements
Please include examples of: product demonstrations, motion graphics, brand videos, social media campaigns,
training or educational content, and before-and-after editing examples (if available).
Applications without a portfolio will not be considered.
Who Will Thrive in This Role
You edit fast without cutting corners, and you're comfortable juggling several projects with competing deadlines.
You take a script or rough brief and run with it, bringing strong creative instincts and technical polish to every
deliverable. You're always looking for ways, including through AI tools, to work smarter and faster.
We Encourage You to Apply
If you don't meet every single requirement listed above, please don't let that stop you from applying. We'd still
like to hear from you if you're excited about this role and bring relevant experience. Skills and qualifications can
be built on the job; genuine interest and the right attitude matter just as much to us.
Location: Remote, Austria; Remote, Germany
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Engagement Manager, PS Sales focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes.
Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives. In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab.
Some examples of our projects
Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs
Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work
What you'll do
Build trusted advisor relationships with division chiefs, program managers, and technical leaders
Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes
Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives
Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed
Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability
Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements
Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures
Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence
Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention
Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering
Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities.
Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented.
Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management.
Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures.
Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes.
What you'll bring
Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region
Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects.
Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes.
Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders.
Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies.
Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment.
Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals.
The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the
Professional Services Engagement Management handbook page
.
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: London, UK; 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
Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs.
We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default.
What you'll do
You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
Experience as a backend or platform engineer
Familiarity with using AI tools as part of the software development process
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings
Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale
Excellent communication skills, with the ability to build consensus across teams and time zones
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
What you'll do
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
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
We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across
anthropic.com
and
claude.com
— from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast.
Key responsibilities
Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly
Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience
Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences
Contribute to internal tools that help teams author, manage, and publish content at scale
Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members
Move quickly from concept to working prototype, iterating in close collaboration with the team
Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing
Minimum qualifications
Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system
Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision
Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running
Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving
Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck
Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined
Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects
Preferred qualifications
Experience with AI-assisted development workflows
Interest in generative or programmatic design
Familiarity with localization or internationalization systems
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:
$300,000
—
$320,000 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: Netherlands; Romania; Portugal; Belgium; Slovakia; Spain; Poland
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
Location: To create the best experience for this employee and meet business needs, this role requires you to be based within the EMEA region.
ROLE SUMMARY
This is an exciting time to join Oyster. The Netherlands is one of our most important markets—this role will give you real ownership over how payroll runs, with the scope to help us achieve best-in-class payroll standards at scale.
You'll be a valued member of our in-house payroll team: someone we trust to accurately produce your assigned stream of Dutch payroll each cycle, follow our AFAS processes closely, and flag anything that doesn't look right. If you have hands-on native Dutch payroll experience, are comfortable executing structured processes with care, and want to build your skills within a payroll function that's still taking shape, this role is for you.
CORE RESPONSIBILITIES
- Process payroll accurately. Produce your assigned stream of the native Dutch payroll cycle in-house each period; accurate, compliant, and on time.
- Master data accuracy. Process and check employee payroll master data — new hires, terminations, salary changes, variable pay, benefits, absences, and garnishments (loonbeslag) — following defined procedures and flagging anything unclear or that looks off.
- Payroll controls & quality. Run pre- and post-payroll validations each cycle; check your own work carefully, and flag anything that doesn't look right before issues reach team members, customers, or Finance.
- Handle all statutory filings & accesses. monthly loonaangifte filings to the Belastingdienst, UWV wage declarations, and the annual jaarloonopgaaf, filing of Ziektewet and WAZO reimbursement claims with UWV, owning the retrieval and maintenance of employee loonheffingskorting data: you follow established procedures for these activities and flag anything that looks off. You'll support the setup and maintenance of required government accesses as directed.
- Follow the payroll system procedures. Follow defined steps to help maintain the in-house payroll system, test legislative updates before they go live as directed, and flag issues or ideas to your team lead or our Product team.
- Build your subject matter knowledge. Learn and follow Loonheffingenrecht, Socialezekerheidsrecht, Arbeidsrecht, and CAO (Collectieve Arbeidsovereenkomst) as they apply to your work, and ask questions when something is unclear.
- Check your numbers. Check payroll journals and GL mappings against your outputs, and flag any data integrity issues you notice.
- Handle assigned tickets. Handle assigned client payroll tickets well, and escalate anything that exceeds your frame to senior team members. Pair careful, accurate work with a customer-first mindset.
- Reporting. Help prepare statutory and ad-hoc reports to meet regulatory requirements, including EU Pay Transparency Directive obligations, Ondernemingsraad (OR)-facing pay assessment documentation, and AVG/GDPR compliance across payroll data.
- Audits. Provide structured data and documentation to support internal and external audits.
- Support the team. Follow SOPs closely and flag gaps when you spot them. Share knowledge when asked and support your peers informally, helping keep our living knowledge base — playbooks and SOPs — documented and shared.
MINIMUM REQUIREMENTS
- 1–3 years running native (in-house) payroll processes for the Netherlands, comfortable independently handling a defined volume of payslips per month.
- Hands-on AFAS and / or Nmbrs by Visma and / or Loket.nl http://Loket.nl processing experience.
- Completed the Praktijkdiploma Loonadministratie (PDL) and/or NIRPA Register Salarisadministrateur (RSa) registration.
- Working knowledge of Dutch wage tax, social insurance, and labor law, with a willingness to build deeper expertise over time.
- Dutch at C1/C2 for interaction with local authorities and fluent English for collaborating with our async global team.
- Comfortable handling assigned client queries and escalating anything beyond your scope with clear context; balancing careful, accurate work with a genuine customer-first mindset.
- A careful, detail-oriented mindset. You check your own work thoroughly and flag patterns or issues as you notice them.
- Comfortable navigating ambiguity within your own workstream, and know when to escalate something that falls outside your frame.
- You're happy to share knowledge when asked and support your peers informally.
- Comfortable working largely asynchronously in a fast-paced, remote-first environment.
DESIRABLE SKILLS
- A broader accounting background or qualification (e.g. RA/AA accountancy qualification); particularly useful for the GL mapping and reconciliation side of the role.
- Proven experience working on and delivering cross-functional HR/Payroll projects.
- Hands-on capability working with AI tools to optimize payroll or operations workflows.
- Strong data transformation skills and practical experience with data analytics platforms.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Mimir Query, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must.
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way
Experience with developing software that runs in the Cloud
or
experience with systems engineering
Experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.
Comfortable with microservices architecture and distributed systems
Experience and comfort developing with LLMs like Claude and Codex on your day to day
Bonus Points For:
Experience working with Kubernetes
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Familiarity with the concept of infrastructure as code
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Mimir Query, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must.
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way
Experience with developing software that runs in the Cloud
or
experience with systems engineering
Experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.
Comfortable with microservices architecture and distributed systems
Experience and comfort developing with LLMs like Claude and Codex on your day to day
Bonus Points For:
Experience working with Kubernetes
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Familiarity with the concept of infrastructure as code
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote-Friendly (Travel Required) | 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
Anthropic is building data center campuses at a pace where several are under construction at once, each moving through design, construction, commissioning, and turnover to an operating partner. Security scope on those projects (the physical protections, the systems that enforce them, and the operational readiness of the company that will run the site) has to be delivered as deliberately as the buildings themselves.
As Lead for Data Center Security Delivery, you will own security through that entire arc for every campus under construction: from groundbreaking, through construction-phase security, through commissioning and milestone acceptance, to a clean handover into full operation. You are the single point of accountability for "the site's security is actually ready", and you will verify that the operating partner has its people, processes, systems, and contractual security obligations genuinely in place before a site goes live.
This is a delivery role, not a watch-the-dashboard role. You'll absorb the day-to-day noise of active construction sites (schedule slips, design changes, vendor coordination, escalations) so the rest of DCSE can stay focused on steady-state operations and systems. And where DCSE's requirements or processes don't survive contact with a real construction schedule, you will have the authority, and the expectation, to rewrite them.
Role boundaries.
This seat is distinct from DCSE's regional security operations leads and from the team's systems-engineering roles. The operations leads own steady-state regional programs (vendors, guard force, incident response) once a site is running; the systems roles build platforms and tooling. This role owns the delivery arc: every site's security scope from construction start through commissioning, acceptance, and handover, after which accountability transfers to operations.
Key responsibilities
You will own the security delivery program across every Anthropic campus under construction: concurrently, from groundbreaking to handover.
Construction-phase security delivery: temporary
site security, contractor vetting and access, protection of installed equipment, and coordination with general contractors and site teams on every active build.
Milestone and commissioning acceptance: define
and maintain the security acceptance criteria at each construction milestone and commissioning gate; run or attend acceptance events (FAT/SAT, punch lists); issue or withhold the security sign-off.
Operator readiness verification: build
and run a structured, evidence-based readiness process proving the operating company is genuinely ready before handover: staffing and guard force in place, SOPs adopted, security systems commissioned and monitored, contractual security obligations demonstrably met.
Clean handover to operations: own the turnover
package (as-builts, test records, credentials, punch-list closure, residual-risk register) and the defined transition from construction-phase to operational security ownership.
Requirements and process authority: rewrite
DCSE's construction-security requirements, delivery processes, and acceptance frameworks where they fail in the field, and codify what works, so each build is cleaner than the last.
Representation and escalation: represent
security in design reviews, owner-architect-contractor (OAC) meetings, and change management; coordinate integrators, general contractors, and operator counterparts on security system installation, testing, and commissioning; surface schedule and readiness risks early, with options, to DCSE leadership and cross-functional partners.
Minimum qualifications
Have personally delivered the physical security scope on new-build data center (or comparable critical-infrastructure) construction projects (design reviews through construction, commissioning, and turnover to operations) and can name the sites and your role on them.
Have run milestone- or commissioning-acceptance processes: FAT/SAT, punch lists, turnover documentation, formal sign-off.
Have held an operator, landlord, or vendor accountable to contractual security obligations, with evidence rather than assurances.
Are comfortable being the person who says "not ready", and can do it in a way that produces a plan rather than a standoff.
Can absorb the operational noise of multiple concurrent construction sites and still drive each one toward its handover date.
Can author requirements, standards, and process documents that get adopted, and are willing to rewrite your own when they fail in the field.
Work through influence with general contractors, integrators, operators, and internal partners; you shape decisions rather than block them.
Preferred qualifications
CPP (Certified Protection Professional) or PSP (Physical Security Professional) certification, or commissioning credentials.
Hyperscaler or major colocation new-build delivery experience.
Experience on both sides of an operator/tenant relationship.
Construction management or owner's-representative background.
Experience in regulated or high-assurance environments.
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:
$290,000
—
$365,000 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: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are seeking passionate, proactive, and results-driven
Customer Success Manager
to join our team and drive exceptional customer outcomes. In this role, you will develop and maintain strategic relationships with
SMB & Corporate segment clients across Eastern Europe and Central Asian market
, serving as a trusted advisor to key stakeholders. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table.
You should be a strong team player with excellent communication skills, eager to dive deep into our product, continuously learn, and make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.
Responsibilities:
Maintain and develop long-term relationships with strategic customers of the Corporate & SMB segment in Eastern Europe and Central Asia.
Act as a trusted advisor of assigned accounts and communicate with them on different levels including C-level executives.
Control and audit delivery processes in implementation projects for Corporate & SMB customers, identify early red flags to prevent delivery and launch-related issues.
Help customers achieve their desired outcomes through product consulting, value realization, and high ROI.
Grow customer's portfolio through zero churn and active cross and up-sales.
Requirements:
2+ years of experience working with customers in Eastern Europe region;
Upper-Intermediate level of English;
Experience with CRM / ERP / Core systems / LC/NC solutions / other corporate software;
Managing customer portfolio effectively through regular meetings with customers and their assigned integrator partners;
Experience managing or overseeing software implementations, customizations, or in-depth product demos for corporate software;
Strong Customer-Centric Communication and Presentations Skills;
Commercial acumen, including negotiation and renewal management;
Excellent time management and efficiency skills.
What you should expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being
:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package
:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For: For the role of Enterprise Account Executive GAMA (Georgia, Armenia, Moldova, Azerbaijan), we are seeking an experienced field sales professional to help us scale the number of Enterprises that use the Creatio platform. Candidates must have experience building and developing a territory to high performance within an innovative SaaS technology provider. Successful candidates will help to build a portfolio of business within the top target enterprises in their territory, will need to drive their own activity and build a funnel while being supported by the broader Creatio organization of diverse and executive, product, and technical teams. The role is based in Poland and will report to the Sales Team Lead (GAMA), also based in Poland.Our targets are ambitious, and we are seeking engaging, collaborative, successful sales managers who have the skills, experience, and track record to make an immediate impact. We’re fast-paced, innovative, and collaborative. We pursue excellence in everything and have a lot of fun along the way. Responsibilities: Manage the entire enterprise sales process and resources to develop and implement winning solution sales strategies across the GAMA region; Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function; Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling; Deliver against revenue targets and all key performance metrics; Develop and orchestrate sales presentations and product demonstrations; Work with all customer functions, including executive-level personnel, various customer stakeholders, architecture, operations, design, vendor management, innovation, sourcing, and customer procurement. Requirements: At least 4 years of experience in sales roles with a strong record of achieving or exceeding goals; Proven experience in Enterprise SaaS platform sales to large organizations, with a solid understanding of Enterprise account management practices; Skilled in navigating complex enterprise environments, managing long sales cycles, and building trusted relationships with C-level executives and key decision-makers; Demonstrated success in meeting quarterly and annual targets while maintaining a focus on customer success and value creation; Excellent organizational, communication, and interpersonal skills, with the ability to foster strong, long-term business relationships; Strategic mindset with the ability to identify and prioritize high-potential clients and opportunities; Awareness of market and industry trends, and the ability to translate them into meaningful sales strategies; Self-driven, proactive, and passionate about sales, with a collaborative and customer-focused approach; Advanced or higher level of English, written and spoken, native Russian; Experience with CRM, No/Low-Code, or workflow automation solutions is a plus. What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. If you are interested, please send your CV to a.rudyk@creatio.com or apply online Openings \u007C Creatio
Location: Ireland, Dublin
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.
Why Join Us?
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 Group Corporation
The role
We are looking for a Software Engineer to join the Kit Manager team, working on the design and development of a scalable private cloud solution for managing PlayStation Development Kits along with the provision of associated APIs and services as part of the PlayStation® SDK.
What you’ll be doing
Own the end-to-end delivery of features, from requirements analysis and design through implementation and validation
Investigate, debug, and resolve issues in existing code and newly developed featuresParticipate in requirements gathering and architectural discussions, collaborating with cross-functional teams in an agile environment
Participate in code reviews and contribute to maintaining high engineering standards
Attend periodic in-person workshops and team events, with occasional travel as required
What we’re looking for
You should bring some of the following skills and experience:
Commercial or open-source experience developing software in Rust, with the ability to design, implement, and maintain production-quality code, and a strong understanding of Rust fundamentals including ownership, borrowing, lifetimes, traits, generics, error handling, and asynchronous programming with Tokio
Excellent problem-solving and analytical skills
A passion for building intuitive products with a strong focus on user experience and developer workflows
Strong commercial experience developing software in modern C++
A solid understanding of concurrency, multithreaded programming, and modern software design principles
Experience writing automated tests and applying modern software testing practices
Proficiency with Git or other distributed version control systems
Desirable skills and experience
Experience developing cross-platform applications for Windows, Linux, and macOS
Experience with PostgreSQL or other relational databases
Experience building APIs using gRPC and/or REST
Experience deploying and managing applications using Kubernetes and/or AWS
Proficiency with Docker, Podman or other container technologies
Experience developing user interfaces with React
Qualifications
BSc /MSc in Computer Science or equivalent experience
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 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.
€69.500
—
€104.300 EUR
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, South Korea
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 Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source.
You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team.
Some examples of our projects:
A tool to automatically check a GitLab Omnibus install for known issues
A solution to capture the state of a customer’s server for easier troubleshooting
A tool which turns log files into interactive tables to easily sort and filter columns
A ChatOps feature that makes it easier to identify user accounts on GitLab.com
What you’ll do
Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls.
Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration.
Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives.
Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features.
Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team.
Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team.
What you’ll bring
Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions.
Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels.
Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration.
Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers.
Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles.
Fluent Korean language skills (required)
About the team
We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack. We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our
Support Team page
.
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: Perm; Kuala Lumpur; Baku; Vladivostok
Workplace: onsite
ABOUT YOU
We are looking for an Intermediate / Senior Frontend Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and platform-level experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Build and evolve scalable, high-performance web applications using React and
Node.js
Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences.
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end — requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Contribute to modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals.
Contribute and enforce engineering best practices across coding, documentation, testing, and review processes.
Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.
Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.
Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.
Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.
Qualifications & Skills:
4+ years of software development experience with strong expertise in modern frontend engineering at scale.
Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data flows. Proficiency with
Node.js
and MongoDB for server-side functionality.
Strong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens).
Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent).
Experience with Module Federation.
Good understanding of bundling and compilation, experience with webpack/rollup/vite/esbuild
Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).
Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs).
Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to Have:
Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks).
Experience with react-native/mobile experience.
Knowledge of performance optimization strategies for client-side and server-side rendering.
Understanding of accessibility, internationalization, and semantic UI design best practices.
Experience developing SDKs, CLI tools, or developer-facing automation.
Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies.
Background improving developer platforms, observability stacks, or performance monitoring systems.
Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
leadLondon, UK
London, UK; You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones; Experience working in and building a growing region, while navigating across time zones with US-based headquarters
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London, UK; San Francisco, CA; Excellent communication skills, with the ability to build consensus across teams and time zones; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team