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Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid OUR PURPOSE At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. HOW YOU’LL MAKE AN IMPACT Accounts payable is broken for small businesses. Managing and paying a bill today means stitching together three or four different tools — capturing documents in one place, entering data in another, chasing approvals over email, and making the payment in a bank portal. It is manual, error-prone, and it takes hours every week from people who should be running their business. Xero’s bills and bill payment surface already serves over a million monthly active users globally: small business owners, the employees who keep their books, and professional bookkeepers working across dozens of clients at accounting firms. It runs on a system designed for a pre-agent world. As a Senior Product Manager on Bills, you will own the layer underneath that surface — the API contracts, the data-access model and the permission architecture that decide what a person or an agent is allowed to read, write and pay on a customer’s behalf. That applies inside Bills, and it applies through Xero’s integrations with Claude, Copilot and our open-source MCP server. You will set the vision alongside a principal engineer, argue the customer’s case inside technical decisions, decide what the interface should be, and lead a team of engineers through a replatform that never takes those million users offline. This is not a zero-to-one bet looking for users. The work already has them. What does not exist yet is the architecture underneath accounts payable that makes automated, agent-assisted and human-directed spend coherent, safe and trustworthy. That is the job. Your impact will be measured through customer, operational and commercial outcomes — including automation and straight-through processing rates, bill payment adoption and volume, activation and retention across owner and bookkeeper personas, platform and API reliability, and the pace at which the replatform lands without customer disruption. THE TEAM AND HOW THEY CONNECT You will join the Bills team — 20+ engineers, designers and product managers across Toronto, Vancouver and Pittsburgh — working across core AP workflows, platform APIs, AI experiences and bill payments. The team partners closely with payment and infrastructure vendors, and with cross-functional teams across North America, the UK, Australia and New Zealand. This is a global role, based in Toronto or Vancouver with flexibility to work remotely, and the team comes together in person regularly to collaborate and align on strategy. WHAT YOU’LL DO OWN THE ARCHITECTURE UNDERNEATH PAYMENTS - Develop the vision, strategy and roadmap for the API, data-access and permission layer that underpins bills and bill payments, in partnership with a principal engineer. - Define the contracts, data models and permission scopes that determine what any client — Xero’s own UI, a partner integration, or an AI agent — can read, write, approve and pay. - Decide where authority sits: what a person must confirm, what an agent may do unattended, what requires a second approver, and what can never be automated. - Sequence a replatform of a system serving more than a million monthly active users, with migration paths, dual-running periods and rollback plans that keep customers working throughout. - Own the cost and consequence of changing contracts that other teams and third parties depend on, including versioning, deprecation and breaking-change communication. - Identify opportunities to build reusable capabilities that serve Bills, the wider spend lifecycle and external developers, rather than isolated point solutions. REMOVE TOIL FROM THE END-TO-END ACCOUNTS PAYABLE WORKFLOW - Own products across the complete accounts payable journey: bill capture and understanding, coding and data extraction, approval routing, scheduling, payment execution, reconciliation and exception handling. - Build toward a world where bills arrive, get understood, get approved and get paid with minimal human toil, and where the entire spend lifecycle lives in one place. - Make Bill Pay the default way businesses pay through Xero, scaling bill payments across markets. - Identify valuable and differentiated customer problems, and frame clear solutions that can be tested, validated and delivered incrementally. - Ensure that platform complexity results in simple, understandable customer experiences rather than being passed through to the customer. BUILD FOR MULTIPLE PERSONAS WHOSE INTERESTS CONFLICT - Lead customer research across the distinct user types on this surface: business owners, in-house finance and admin staff, and professional bookkeepers and advisors managing many clients at once. - Design for the tension between them — the owner who wants a bill paid now, the bookkeeper who needs control and auditability, the firm that needs consistency across a client portfolio — and make the trade-off explicit rather than averaging it away. - Partner closely with Design and Engineering to create high-quality experiences across web, mobile and embedded surfaces, as well as programmatic ones. - Use customer data, qualitative insight and market intelligence to inform product strategy, prioritisation and roadmap decisions. SHIP AI AND AGENT CAPABILITIES CUSTOMERS CAN TRUST - Define how AI and agents participate in accounts payable: what they suggest, what they act on, what they escalate, and how the customer stays in control. - Own the quality bar for LLM-powered capabilities — evaluation sets, confidence thresholds, human-in-the-loop design, fallback behaviour and observable failure modes — and hold the line on it before launch. - Prototype your own ideas, including in code, rather than waiting for engineering capacity to test a hypothesis. - Shape how Xero’s accounts payable capabilities are exposed to external agent platforms, including our MCP server and integrations with Claude and Copilot. - Design for an error-intolerant workflow: this product moves real money, and a wrong answer costs a customer real money and real trust. NAVIGATE RISK, COMPLIANCE AND OPERATIONAL COMPLEXITY - Partner with Risk, Compliance, Legal, Security and Operations to build products that meet regulatory, security and operational requirements across markets. - Take responsibility for risks arising from authorisation and access control, financial crime, privacy and responsible data use, data accuracy, regulatory change and service availability. - Account for market-specific gating in payments and money movement — including US money transmission, UK FCA and open banking requirements, and Australian licensing and payment rails — when sequencing launches. - Lead trade-off decisions that balance customer experience, risk exposure, regulatory obligation, technical complexity and commercial outcome. - Treat operational processes, support tooling and exception management as part of the product, not an afterthought — including failed payments, duplicate bills, incorrect approvals, reversals and disputes. DRIVE STRATEGY, EXECUTION AND COMMERCIAL OUTCOMES - Develop and execute roadmaps that align customer needs, AP strategy, platform architecture and Xero’s broader business objectives, including the Melio acquisition and Xero’s North America growth agenda. - Establish clear product goals, success metrics and OKRs, and be accountable for moving them. - Take an active role in annual and quarterly planning, including funding, prioritisation and resourcing discussions. - Lead release and rollout strategy so that changes land safely and iteratively across customer cohorts and markets. - Monitor and interrogate customer, commercial and operational results, and lead interventions where outcomes are not meeting expectations. - Understand the economics of the product, including payment volume, adoption, pricing, processing cost, margin and revenue. - Make clear prioritisation decisions that balance immediate delivery against the long-term evolution of the platform. LEAD THROUGH CROSS-FUNCTIONAL INFLUENCE - Build strong relationships across Product, Engineering, Design, Risk, Compliance, Operations, Finance, Partnerships and Go-to-Market teams. - Create clarity on what is being built, why it matters, how it will work and when it will be delivered. - Hold your own in architecture and design reviews on data models, API contracts and migration sequencing, and bring a position rather than only questions. - Drive decision-making across complex stakeholder groups and act as tie-breaker when consensus cannot be reached. - Represent the products you own in senior leadership, product, architecture and payments forums, and in front of customers and partners. - Mentor and support other Product Managers, raising the standard of platform and AI product expertise across Xero. SUCCESS LOOKS LIKE - Bills arrive, get understood, get approved and get paid in Xero with materially less human effort than they require today. - There is a clear, documented and well-reasoned answer to what an agent is allowed to do with a customer’s money in Xero — and customers and partners trust it. - The API and permission layer underneath accounts payable is coherent, versioned and extensible, and new clients, markets and payment capabilities can be supported without duplication or rework. - The replatform progresses on a sequence the team believes in, with no material disruption to the million-plus customers using the surface every month. - Owners, in-house finance staff and professional bookkeepers each get an experience suited to how they actually work, and you can name the trade-offs you made between them. - AI-powered capabilities ship with defined evaluation criteria, measured quality, understood failure modes and appropriate human control — and improve after launch on evidence. - Bill Pay adoption, payment volume, automation rate, activation and retention are improving, and your contribution to that is clear. - Product risks and dependencies are identified early and managed in partnership with Engineering, Risk, Compliance and Operations. - Stakeholders understand the vision, strategy, roadmap and key trade-offs — and engineers come to you first when a decision needs making. - Other Product Managers are developing through your coaching and knowledge-sharing. - You demonstrate and amplify Xero’s values. WHAT YOU’LL BRING WITH YOU ESSENTIAL EXPERIENCE This role sits below the interface as much as in front of it, and the bar reflects that. You will bring: - Experience shipping below the UI. You have delivered changes to APIs, integration layers or shared services as part of delivering a wider product, and you know what it costs to change a contract other people depend on. Ideally you have owned a public or partner API through a breaking change. - Substantive AI product experience. You have shipped an LLM-powered capability that customers actually used, and you can talk about evaluations, failure modes and confidence thresholds unprompted — including what your product got wrong in production and what you did about it. You use AI aggressively in your own work and prototype in code. - Multi-persona B2B product experience. You have built a workflow serving several distinct user types whose interests conflict, and you can name a specific trade-off you made between two of them. - Error-intolerant domains. You have built products where a mistake costs money or carries regulatory consequence — payments, payroll, tax, treasury, lending, legal or clinical workflows. - Significant product management experience in a software development environment, across the full product lifecycle — typically five or more years in product, or comparable time as a founder, consultant or technical individual contributor in a payments and/or commerce domain. Deep accounts payable, bookkeeping, accounting or finance-team domain experience is a strong advantage but not a requirement, and experience with payment rails, regulatory-gated launches or fintech infrastructure is similarly valuable. Product experience confined to feature delivery on top of an existing platform, without direct involvement in the interfaces, contracts or data models underneath, is unlikely to be enough on its own for this role. PRODUCT LEADERSHIP - A strong track record of addressing customer needs through the innovative use of technology. - Experience developing successful product strategies, roadmaps and long-term plans — setting direction rather than receiving a spec. - Demonstrated ability to operate in technically complex and highly ambiguous environments, and to start before the problem is fully defined. - Strong product judgement and the ability to make decisions with incomplete information. - A track record of owning activation, retention, revenue or an equivalent metric and moving it — you can name the metric, the movement, and the trade-off you made to get it. - Self-direction under ambiguity, with minimal supervision required to define direction and drive outcomes. - Demonstrated ability to influence decisions at all levels of an organisation. TECHNICAL AND COMMERCIAL UNDERSTANDING - Ability to work as a peer with engineers and architects on platform design, APIs, data models, permission and authorisation models, system dependencies and technical trade-offs. - Understanding of migration and replatform sequencing in a live, high-volume system, and of the risks that come with it. - Strong understanding of how AI and agent systems are built and evaluated, including retrieval, tool use, evaluation design and the limits of model reliability. - Ability to translate customer and business needs into clear product requirements and technical specifications. - Understanding of product economics, including volume, cost, margin, pricing and revenue. - Experience evaluating third-party providers and making build, buy or partner decisions. - Familiarity with the regulatory, risk, security and operational considerations involved in moving money. CUSTOMER AND DATA ORIENTATION - Strong experience conducting customer research and converting insight into product decisions. - Ability to identify and clearly articulate complex customer problems — and to talk about users in the plural. - Experience developing MVPs, incremental solutions and experiments that validate product assumptions. - Strong analytical skills, using quantitative and qualitative data to make decisions. - Ability to establish meaningful success criteria and monitor ongoing performance. - Ability to translate complex information for technical, commercial, operational and executive audiences. CROSS-FUNCTIONAL LEADERSHIP - Demonstrated success working with diverse stakeholder groups across multiple engineering teams, geographies and third-party partners. - Ability to lead through influence across Product, Engineering, Design, Risk, Compliance, Operations, Finance and Go-to-Market. - Strong communication, facilitation and stakeholder-management skills, and comfort presenting to executives and to customers. - Ability to navigate difficult decisions, resolve ambiguity and create alignment across teams and geographies. - Willingness to disagree with an engineer, and to be disagreed with, in service of the customer. - Experience mentoring and coaching Product Managers and cross-functional team members. CRITICAL CAPABILITIES Love customer problems - Lead the use of customer research approaches and methodologies to generate meaningful insight across owner, in-house finance and bookkeeper personas. - Clearly define and articulate complex customer problems, including where personas conflict. - Develop incremental solutions and experiments that validate customer and product assumptions. - Ensure that platform and agent complexity results in simple, understandable and trustworthy customer experiences. Look to the future - Develop compelling product strategies and roadmaps that align customer, commercial and platform objectives. - Anticipate how immediate architectural decisions will constrain future agent capabilities, markets, partners and products. - Identify opportunities to create reusable capabilities rather than isolated point solutions. - Explore new technologies, models and business models that change how small businesses manage and pay their bills. Work the Xero way - Lead effective product prioritisation and decision-making. - Establish strong product and delivery practices within the team, without relying on a program manager to hold the plan. - Coordinate across products and teams to deliver end-to-end customer outcomes. - Ship iteratively, learn from outcomes and continuously improve the product. Demonstrate commercial acumen - Understand the markets, customer segments and competitive environment for accounts payable and bill payment. - Balance customer value, platform investment, risk and commercial outcome. - Define success criteria that reflect customer needs and product-market fit. - Use adoption, volume, cost, margin and revenue data to guide product decisions. Do it together - Create alignment across complex and diverse stakeholder groups. - Communicate a clear and compelling product narrative. - Build productive relationships across teams, functions, markets and geographies. - Mentor others and raise the standard of product, platform and AI expertise across Xero. Explore the data - Use data to understand customer behaviour, automation performance and operational outcomes. - Combine insight from customer research, product telemetry, support interactions and market trends. - Translate information into clear recommendations and decisions. - Establish measurement, evaluation and observability as core parts of product development. WHY THIS ROLE Most AI product roles are a bet on a zero-to-one that may never find users. This one is the opposite. More than a million people already do this work in Xero every month, and the mandate is to define how agents get to touch it. Xero has already put the pieces on the table: a US$2.5B acquisition of Melio, an open-source MCP server, a live Claude integration, and a new North America Product and Technology Hub. What does not exist yet is the architecture underneath accounts payable that makes it all coherent. That is what you would own. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is CA$167,400 – CA$209,200. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

About Peec AI Peec AI is the visibility platform for the age of AI search. The way people discover brands is being rewritten. ChatGPT, Claude, Google AI Mode and Copilot now sit between companies and their customers, and most brands have no idea what those models say about them. We built the platform marketing teams use to measure, understand and improve how they show up inside AI answers. We went from 0 to $15M ARR in 18 months. We're around 80 people, based in Berlin with a growing presence in New York, and we're moving fast enough that the people joining now are writing the playbook everyone after them will run. The core Peec AI product is how a brand sees itself inside AI search. Most of what it needs to become has not been built yet, and this PM will define and own it. We're looking for someone to decide what an entire product surface should be and then ship it. What You'll Do — Take new product areas from nothing to shipped, owning the problem end to end — Define what a brand's presence inside AI search should look like, working directly with our founders and customers on a category that is still being written — Go broad on the problem space before narrowing on solutions, and hold that discipline when everyone wants an answer immediately — Partner with Data, Engineering and Design to build and launch AI-native features at scale — Set the bar for how the product looks and feels, not just what it does — Own the customer relationship for your product area. Discovery calls, onboardings, and see people actually use what you built Who You Are — 3+ building excellent software products, ideally at a startup or fast-moving company — You have built new products rather than maintained and improved existing ones, and you can point to what you shipped — Experience shipping AI-powered products and systems that operate at scale — Genuine design judgement — Technical enough to work as a peer with engineers and data scientists — Experience in a product-led growth environment — You operate with very little direction. You pick up an ambiguous area and come back with a direction — Excited to be in our Berlin office five days a week — We care more about what you have built than how long you have been building. If you have fewer than three years but the work speaks for itself, apply anyway. Bonus Points — A design background, or a portfolio of things you have designed yourself — Previous founder experience — Background in Computer Science or a technical field — Previous experience building AI-driven or search-related products What We Offer — Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups — Regular team events and off-sites — Aggressive equity compensation package — Paid Dinner & Uber home when working late — The most beautiful office space and work environment in Berlin

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. IN THIS ROLE YOU WILL You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. - Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase - Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished - Run a fast, disciplined experimentation loop where hypotheses are argued before they're built - Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat - Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week YOU’LL LOVE THIS JOB IF YOU - Believe Growth done well is a form of customer service, not a conversion engine - Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in - Love digging into data to find insights but form your best hypotheses from empathizing with customers - Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value - Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting - Are comfortable being the person who says the result doesn't hold up QUALIFICATIONS - 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background - Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar - Strong product sense — you identify where a change will create the most value, not just where a metric can be moved - Experience helping users get the most out of a complex product - Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation - Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used - Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote 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 Commercial Account Executive, Mid-Market, you’ll be the primary point of contact for prospective and existing customers in our mid-market segment, helping organizations modernize how they plan, build, secure, and ship software with GitLab’s AI-powered DevSecOps platform. You’ll own a broad book of business in your territory and serve as a strategic, trusted advisor to your accounts as you prospect, run complex sales cycles, and guide customers on their journey with GitLab to achieve clear business outcomes while supporting adoption and reducing churn. You’ll collaborate closely with Sales Development, Solutions Consultant, Renewals, Partners, and Sales leadership, using value-based selling and structured sales methodologies (such as MEDDPICC and Command of the Message) to build a healthy pipeline, run accurate forecasts, and support revenue goals across a wide range of deal sizes. Must be located in East or Central timezones in the US. What you’ll do Own and manage a broad Mid-Market book of business as the primary point of contact in your territory, focusing on new and expansion opportunities. Focus on customer accounts with 250 to 1,999 employees, managing the spectrum of project sizes and complexity within the mid-market segment. Articulate the value of GitLab’s AI-powered DevSecOps platform to Mid-Market prospects and customers, tailoring messaging to their business and technical needs. Build and maintain a healthy pipeline through consistent prospecting, qualification, and advancement of opportunities, using structured methodologies (such as MEDDPICC and Command of the Message) to support your pipeline and revenue goals. Document buying criteria, decision processes, next steps, and key stakeholders to run disciplined, well-orchestrated sales cycles. Collaborate with sales development, customer success, renewals, marketing, technical teams, and partners to deliver a cohesive pre- and post-sales experience, co-sell and close opportunities, and expand GitLab’s footprint while delivering added value for customers. Support customer adoption of GitLab solutions, proactively work to reduce churn and contraction, and participate in quarterly forecasting and territory planning. Contribute to continuous improvement by sharing win/loss insights, updating the sales handbook, and being a clear voice of the customer into the product via our public issue tracker. What you’ll bring Experience selling SaaS solutions by leading value-based conversations with technical and business stakeholders, ideally including development or DevSecOps teams. Ability to manage a broad mid-market territory as the primary point of contact, owning a book of business from prospecting through close, adoption, and expansion. Skill in building and maintaining strong customer relationships, including effective discovery, negotiation, and closing to support long-term customer outcomes. Comfortable driving consistent outbound prospecting activity, creating and maintaining a healthy pipeline, and maintaining accurate territory and forecast documentation. Ability to collaborate closely with cross-functional partners (sales development, customer success, renewals, marketing, partners, and technical teams) to coordinate account strategies. Clear and structured communication skills, including presenting the GitLab value proposition to different audience levels and documenting customer insights and lessons learned. Interest in GitLab, open source, and tools that support software development, with the ability to connect customer business challenges to GitLab’s DevSecOps platform. Willingness to travel to meet customers and attend events as needed, and openness to bringing relevant, transferable sales experience from a variety of backgrounds. About the team The Commercial Account Executive - Mid-Market role sits within GitLab’s broader Sales organization, focused on helping mid-market customers adopt and expand their use of our AI powered DevSecOps platform. You’ll be part of a distributed team of Account Executives, Sales Development, Solution Consultants, Renewals, and Partners who work asynchronously across regions to manage a broad book of business and a wide range of opportunity sizes. Our mission is to guide customers through their journey with GitLab, from first evaluation to long term value realization, by developing new business, strengthening customer relationships, and supporting healthy product adoption. We collaborate closely through shared playbooks, our sales handbook, and GitLab itself to stay aligned on territory plans, pipeline health, and best practices. For more on how we work, see the Commercial Account Executive Handbook . Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $68,800 — $114,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

Location: London, UK Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building it's UK business from the ground up. We are looking for a Director of Partnerships to be the senior commercial owner of Ramp’s partner ecosystem in the UK: creating the relationships, market presence, and repeatable routes to revenue that help make Ramp a category-defining company in the region. Reporting to the VP of Channel Sales, you will operate as a founder for Partnerships in London. You will build a focused partner strategy, develop executive-level relationships, and turn the right relationships into durable commercial outcomes. You will work closely with the UK go-to-market team and cross-functional leaders across Sales, Product, Marketing, and Customer Success to make partnerships a meaningful driver of market entry and long-term growth. This is not a role for someone looking to inherit a mature playbook. The right person is entrepreneurial, commercially sharp, and comfortable creating clarity where there is none. They can move from a first meeting with a senior executive to a clear point of view, an internal plan, and disciplined follow-through. What You'll Do - Own and execute Ramp’s UK partnerships strategy, identifying the partner categories and individual relationships that can accelerate awareness, pipeline, customer value, and long-term market position - Build and maintain senior relationships across the UK ecosystem, including accounting, private equity and venture capital firms, professional-services and consulting firms, financial institutions, technology partners, and other high-leverage channels - Work alongside the UK Channel Partner Managers, aligning the broader ecosystem strategy with Ramp’s dedicated motions and creating leverage across shared relationships - Develop a focused partnership plan for priority relationships: articulate the joint value proposition, define the commercial path, and create mutual accountability for progress - Generate measurable commercial impact by sourcing and influencing pipeline, creating warm paths to target customers, and supporting strategic deals through partner relationships - Represent Ramp with credibility at executive meetings, industry events, and partner forums, building the company’s reputation as a serious, long-term UK partner - Serve as the internal voice of the UK partner market, translating relationship intelligence, customer needs, and market dynamics into actionable input for Sales, Product, Marketing, and leadership - Build the operating cadence for the function, including account plans, partnership scorecards, executive briefs, pipeline visibility, and clear follow-through across internal and external stakeholders - Help shape Ramp’s broader UK and European go-to-market strategy as the market, team, and partnership portfolio grow What You Need - 10+ years of experience in sales, partnerships, business development, alliances, or go-to-market leadership, with a demonstrated record of building senior relationships and driving commercial outcomes - A proven track record of owning revenue, quota, influenced pipeline, or similarly concrete commercial goals in a complex B2B environment - Executive presence and sound judgment: you can earn credibility with senior partner leaders and represent Ramp confidently in consequential conversations - A builder mindset. You have launched a territory, vertical, business line, or partner motion, and know how to create a plan and operating rhythm from a blank page - The ability to turn broad relationships into specific opportunities, navigate multiple stakeholders, and maintain momentum through long sales and partnership cycles - Strong strategic and analytical thinking, with the ability to decide where Ramp should invest and make a clear, data-informed case to senior leadership - Excellent written and verbal communication skills, including the ability to build a compelling partnership narrative and align cross-functional teams around it - AI fluency as a daily habit. Ramp is a builder culture: if you do not instinctively reach for AI before doing things manually, this role will be a hard adjustment - Ability to work five days per week from Ramp’s London office, with willingness to travel across the UK and continental Europe as needed Nice to Haves - Experience selling or partnering into private equity, financial services, consulting, enterprise technology, or high-growth software companies - Experience in fintech, financial software, payments, spend management, or the office of the CFO technology ecosystem - An established UK network of senior commercial, investment, operating, or technology leaders - Experience building a new market or international go-to-market motion - Fluency in an additional European language Why Ramp - Own one of Ramp’s most important external-facing growth mandates as we build the UK business - Work directly with senior leaders across Channel, Sales, Product, and Marketing, with the autonomy to shape the market strategy and the accountability to deliver commercial outcomes - Build at the intersection of fintech, AI, and enterprise software at a company redefining how businesses manage spend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

What you’ll do Participate in the Master Class Program designed to pivot experienced professionals into Life Sciences Consulting. Own key workstreams on customer-facing engagements early in the program to create high-impact business solutions. Collaborate with team members at all levels of Veeva to accelerate consulting skills development. Contribute to building effective business and operational improvement strategies powered by Veeva’s industry insights and technology. Support initiatives focused on speeding drug development, launching treatments more effectively, and shaping optimal customer engagement. Who you are You are graduating with an advanced degree or have 3-5 years of industry experience. You are excited to pivot your career into consulting for the Life Sciences industry. You are eager to join a program with an anticipated start date of April 2027. Requirements Advanced degree or 3-5 years of industry experience in a relevant field. Interest in transitioning into Life Sciences Consulting through the Master Class program. Ability to contribute to customer-facing engagements and collaborate across teams. Benefits & perks Structured Master Class program designed to accelerate consulting skills development. Exposure to industry-leading software, data, AI, and consulting expertise. Team description Veeva Business Consulting combines deep domain knowledge with innovative technology to help Life Sciences companies work more efficiently and connectedly. The team focuses on speeding drug development, launching treatments, and shaping stakeholder engagement using Veeva’s industry insights and technology. Location France (Master Class program, anticipated start April 2027).

Location: Ireland About the Job: As the Order Management Specialist, you will ensure that system inputs are complete and accurate, orders are processed in a timely manner, work with the Deal Desk and Internal Systems team to resolve issues, and ensure accounts are provisioned. You will have excellent attention to detail, solve problems, and ability to multi task. Responsibilities: Order & Opportunity Review Review opportunities in Salesforce to ensure completeness and accuracy prior to downstream processing into NetSuite, validating pricing, product/SKU alignment, contract terms, and required fields. Review Annual Recurring Revenue (ARR) on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle. Create and monitor indirect sales orders via AWS Marketplace. Work with AWS Support to resolve any offer issues or errors. Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle. Serve as a quality checkpoint between deal closure and financial system entry, minimizing rework and downstream billing errors. Provisioning & Deal Documentation Review and approve provisioning details to ensure customer setup aligns with the terms of the executed agreement. Partner with Sales, Customer Success, and Deal Management to confirm that all required documentation (order forms, amendments, approvals, contracts) is complete, accurate, and obtained prior to processing. Act as a point of escalation for missing or inconsistent deal documentation, coordinating resolution across stakeholders. Systems & CPQ Administration Work closely with the internal systems/IT team to ensure Salesforce CPQ configurations (pricing rules, product bundles, approval workflows) remain accurate and up to date. Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes, flagging issues that could impact order accuracy or revenue processing. Contribute to continuous improvement of order-to-cash tools, workflows, and controls. Revenue Recognition & Compliance Apply a working understanding of ASC 606 principles when reviewing deal structures, contract terms, and provisioning to flag potential revenue recognition considerations. Support Finance/Accounting during month-end and quarter-end close by ensuring orders and documentation are audit-ready. Help maintain internal controls around deal review, approval, and order processing. Cross-Functional Partnership Act as a trusted liaison between Sales, Customer Success, Deal Management, Finance, and Systems teams to keep the order-to-cash process moving efficiently. Provide guidance and training to Sales and Customer Success on Salesforce, CPQ, and documentation requirements. Report on order accuracy, cycle times, and recurring issues, and recommend process improvements. Qualifications: Bachelor's degree in Business, Finance, Accounting, or related field, or equivalent practical experience. 4+ years of experience in Order to Cash, Deal Desk, Sales Operations, Revenue Operations, or a related finance/systems role, ideally in a B2B SaaS environment. Hands-on experience with Salesforce and Salesforce CPQ (or other CPQ systems); experience with NetSuite and AWS Marketplace strongly preferred Working understanding of ASC 606 revenue recognition principles as they apply to SaaS/subscription contracts. Strong attention to detail and comfort working with high volumes of orders, especially during month-end/quarter-end close. Excellent cross-functional communication skills, with proven ability to partner effectively with Sales, Customer Success, Deal Management, Finance, and IT/Systems teams. Analytical mindset with strong Excel skills; experience with reporting/dashboard tools (e.g., Tableau) a plus. Ability to work independently, prioritize competing requests, and manage ambiguity in a fast-paced environment. Nice to Have Experience supporting Salesforce-to-NetSuite integrations or similar CRM-to-ERP data flows. Familiarity with contract lifecycle management (CLM) tools (e.g., Ironclad, DocuSign CLM). Prior experience contributing to systems testing, UAT, or process documentation for order management tools. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: București, Romania Workplace: hybrid About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About UXMatrix UXMatrix develops a broad range of digital products, including bespoke frontend applications, reusable templates, widgets, APIs, automated quality-assurance solutions, and a fully customizable WordPress-based CMS. Our products serve multiple operators, brands, and regulated markets, requiring us to balance customer needs, end-user experience, technical scalability, regulatory requirements, and commercial value. About the Role We are looking for a Sportsbook Product Owner to join the UXMatrix Product Team and take ownership of the development and continuous improvement of our sportsbook frontend experience. You will define what should be built and why, translating customer, market, and business needs into clear product outcomes and actionable requirements for the development team. You will work closely with design, engineering, QA, delivery, sportsbook platform teams, commercial stakeholders, and operators throughout the complete product lifecycle—from discovery and definition through delivery, launch, measurement, and optimization. The ideal candidate combines strong product thinking with an understanding of sportsbook user journeys, frontend technology, data, and agile delivery. You should be comfortable making decisions, challenging assumptions, managing competing priorities, and maintaining a clear product direction in a fast-paced environment. What You'll get to do: Product Vision and Strategy Define and communicate the product vision, strategy, objectives, and roadmap for the sportsbook frontend. Translate company strategy, operator requirements, market trends, and end-user needs into clear product priorities. Identify opportunities to improve sportsbook acquisition, engagement, conversion, retention, and overall user experience. Balance reusable product capabilities with operator-specific and market-specific requirements. Contribute to the long-term evolution of the sportsbook product, including personalization, modularity, scalability, and multi-tenant capabilities. Clearly articulate the business and customer value behind proposed initiatives. Product Discovery and Requirements Work with operators, commercial teams, internal stakeholders, and end users to identify problems, needs, and product opportunities. Analyze sportsbook journeys such as event discovery, navigation, search, market selection, bet placement, betslip usage, live betting, promotions, and bet management. Convert business needs into clear product requirements, user stories, acceptance criteria, process flows, and functional specifications. Break down complex initiatives into manageable and independently deliverable increments. Validate requirements with design, engineering, QA, platform teams, and relevant stakeholders before development begins. Ensure regulatory, responsible-gambling, accessibility, localization, and market-specific requirements are considered during product definition. Maintain complete, accurate, and accessible product documentation in Jira and Confluence. Roadmap and Prioritization Own and continuously maintain the product backlog. Prioritize initiatives and backlog items based on customer value, user impact, commercial potential, strategic alignment, risk, effort, and technical dependencies. Define minimum viable product scope and phased-delivery approaches for larger initiatives. Manage scope throughout the delivery lifecycle and ensure material changes are assessed, documented, and agreed with the appropriate stakeholders. Balance new product development, operator requirements, technical improvements, defects, and technical-debt reduction. Make clear prioritization decisions when capacity or timelines are constrained. Agile Delivery Work closely with engineering, design, and QA throughout planning, refinement, development, testing, and release. Ensure the development team understands the product objectives, user needs, requirements, and expected outcomes. Lead or actively contribute to backlog refinement, sprint planning, reviews, and relevant product workshops. Provide timely clarification and make product decisions during development. Identify dependencies, risks, and blockers early and collaborate with the appropriate owners to resolve them. Accept completed work based on agreed requirements and acceptance criteria. Support release planning and ensure features are ready from a product, operational, documentation, and stakeholder perspective. Maintain delivery transparency and communicate progress, risks, scope changes, and decisions clearly. Stakeholder and Client Management Act as the primary product contact for assigned sportsbook initiatives. Build strong working relationships with operators, sportsbook platform teams, commercial stakeholders, engineering, UX, QA, delivery, and senior management. Facilitate product workshops, requirement-gathering sessions, demonstrations, and roadmap discussions. Set clear expectations regarding product scope, priorities, dependencies, and delivery assumptions. Evaluate stakeholder requests objectively and challenge solutions that do not support the product strategy or provide sufficient customer value. Present recommendations using evidence, product data, competitive analysis, and clearly structured business arguments. Support client presentations, product demonstrations, sales opportunities, and RFP responses when required. Product Performance and Continuous Improvement Define success criteria and measurable KPIs for new features and product initiatives. Monitor sportsbook metrics such as event-to-bet conversion, betslip completion, bet placement success, click-through rates, engagement, bet frequency, retention, and feature adoption. Use quantitative data, qualitative feedback, user research, and operational insights to evaluate product performance. Review delivered features after launch and identify opportunities for optimization. Work with UX and analytics teams to identify friction, abandonment points, usability issues, and unmet customer needs. Maintain awareness of sportsbook market developments, competitor products, user-experience patterns, and emerging technologies. Conduct competitor and feature-comparison analysis to identify meaningful product differentiators. Propose improvements that strengthen the UXMatrix sportsbook proposition and create measurable value for EveryMatrix clients. What we’re looking for: At least three years of experience in product ownership, product management, business analysis, or a comparable digital-product role. Experience in iGaming. Experience working with cross-functional software-development teams in an agile environment. Strong ability to translate business and user needs into clear, structured, and testable product requirements. Demonstrated experience managing product backlogs, priorities, scope, dependencies, and stakeholder expectations. Strong analytical and problem-solving skills, with the ability to make evidence-based product decisions. Excellent written and verbal communication skills. Confidence presenting product recommendations and reasoning with technical, commercial, and senior stakeholders. Strong organizational skills and the ability to manage multiple initiatives and competing priorities. Ability to understand technical concepts, frontend architecture, APIs, integrations, and platform dependencies at a product level. Experience using Jira, Confluence, or equivalent product and delivery-management tools. Professional proficiency in English. A degree in technology, economics, business, or a related discipline. What Success Looks Like Success in this role means establishing a clear and evidence-based direction for the sportsbook frontend, maintaining a well-prioritized and delivery-ready backlog, improving collaboration between product and engineering, and delivering measurable improvements for operators and sportsbook users. You will be expected to create alignment around what we build, why we build it, and how we determine whether it has been successful. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies. This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion. You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$238,000– CA$340,000 + equity United States: $171,500 – $245,00 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Leader on our Public Sector Team, you’ll help Department of War agencies modernize how they build and secure software using GitLab’s AI-powered DevSecOps platform. You’ll align GitLab with agency priorities like CI/CD automation, secure development practices, and infrastructure modernization in regulated environments, acting as the primary point of contact for strategic and large prospects. Reporting to a Regional Director, you’ll own a defined book of business, build and execute multi-year account plans, navigate complex procurement cycles, and partner closely with system integrators and resellers to deliver outcomes that matter to public sector missions. In your first year, you’ll focus on developing trusted relationships with CIOs, technical leaders, and key stakeholders across your territory, driving successful rollouts and adoption of GitLab, and coordinating with our pre- and post-sales engineering and support teams. You’ll also represent the voice of your customers internally by sharing product feedback and ideas through our public issue tracker, helping shape how GitLab serves the public sector over time. What you’ll do Build and execute strategic account plans that align GitLab’s AI-powered DevSecOps platform with public sector modernization initiatives Navigate complex procurement and contracting processes while shaping multi-year technology roadmaps with CIOs and technical leaders Act as the primary point of contact and trusted advisor for strategic and large public sector prospects and customers Own your book of business, from pipeline development through close and expansion, using a consultative, mission-focused sales approach Collaborate with pre-sales and post-sales engineering, customer success, and support teams to ensure successful rollout, adoption, and value realization Partner with system integrators, resellers, and other channel partners to generate qualified leads and co-create solutions for government challenges Conduct ongoing prospecting and opportunity development activities within large and strategic accounts to drive new and expansion business Represent the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal teams What you’ll bring Experience selling technology solutions to Department of War agencies Knowledge of the software development lifecycle, including CI/CD automation, secure development practices, and infrastructure modernization Understanding of compliance requirements, and agency buying cycles, with the ability to navigate complex stakeholder environments Consultative sales approach that positions technology as a mission enabler and aligns solutions to public sector modernization initiatives Ability to manage major accounts with a high degree of ownership and control, working under minimal supervision on complex opportunities Skill in collaborating with system integrators, resellers, and internal pre- and post-sales teams to drive successful customer outcomes Effective written and verbal communication skills, with strong interpersonal abilities to build consensus across technical and non-technical stakeholders Alignment with GitLab’s values, openness to learning, and readiness to apply transferable skills and diverse experiences to the public sector domain About the team The Public Sector Team focuses on helping U.S. Department of War agencies modernize how they build, secure, and operate software using GitLab’s AI-powered DevSecOps platform. You’ll join a distributed group of strategic account leaders, solutions architects, and channel specialists who collaborate asynchronously across time zones to serve complex, regulated customers. We partner closely with system integrators and resellers, align with agency procurement processes, and coordinate with product, marketing, and support teams to deliver secure, compliant solutions. Our current priorities include navigating evolving procurement and compliance requirements, supporting infrastructure modernization and secure development practices, and expanding GitLab’s presence across key public sector accounts. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $122,000 — $205,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: București, Romania Workplace: hybrid About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the Role We are looking for a Product Data Analyst to join the UXMatrix Product Team and help establish a consistent, evidence-based approach to product development and optimization. You will define how product performance and user behaviour are measured, ensure that the necessary data is collected accurately, and transform that data into insights and recommendations that Product Owners, UX Designers, Engineering teams, and business stakeholders can act upon. This role extends beyond dashboard creation and regular reporting. You will investigate user journeys, identify friction and opportunities, support product discovery, define feature-success criteria, and determine whether released initiatives achieve their intended customer and business outcomes. You will work across UXMatrix products, with a particular focus on critical frontend journeys such as registration, login, deposit, sportsbook navigation, event discovery, bet placement, casino discovery, promotions, content interaction, and customer retention. What You'll get to do: Product Measurement Strategy Work with Product Owners and stakeholders to translate business objectives into measurable product outcomes and KPIs. Establish clear success criteria before features and initiatives enter development. Define leading and lagging indicators across acquisition, activation, engagement, conversion, retention, and feature adoption. Help product teams distinguish between activity metrics, diagnostic metrics, and measurable customer or business outcomes. Ensure product recommendations are supported by reliable data, user research, or clearly documented hypotheses. Analytics Tracking and Data Quality Define and maintain analytics tracking plans for websites, applications, widgets, and critical user journeys. Translate business questions and measurement objectives into clear technical tracking requirements. Validate analytics implementations before and after release. Monitor data quality and investigate broken events, incomplete parameters, unexpected changes, and reporting discrepancies. Ensure that tracking implementations comply with consent, privacy, security, and applicable regulatory requirements. Product and User-Behaviour Analysis Identify abandonment points, friction, behavioural patterns, and opportunities for improvement. Segment users according to relevant characteristics such as acquisition source, device, market, lifecycle stage, product preference, engagement level, or previous behaviour. Conduct funnel, cohort, retention, conversion, path, and behavioural analyses. Analyze critical user journeys Combine quantitative data with UX research, customer feedback, technical performance, and operational context. Reporting and Data Visualization Build and maintain dashboards that provide stakeholders with a clear view of product performance. Create reporting views appropriate for Product Owners, UX teams, Engineering teams, operators, commercial stakeholders, and senior management. Present trends, anomalies, risks, and opportunities clearly and concisely. Reduce dependency on manual reporting by developing reusable and automated dashboards. Ensure KPI definitions remain consistent across products, teams, and reports. Deliver focused analysis and actionable recommendations rather than reporting data without interpretation. Product Discovery and Decision Support Support Product Owners during product discovery by evaluating evidence, sizing opportunities, and identifying behavioural problems. Provide data to support roadmap prioritization, business cases, and investment decisions. Help product teams formulate measurable hypotheses for proposed product changes. Challenge assumptions and stakeholder requests when they are not supported by evidence or a clearly defined customer problem. Conduct market, benchmark, and competitor analyses when relevant to product decisions. Contribute relevant data and insights to product reviews, client presentations, RFP responses, and strategic discussions. Experimentation and Feature Evaluation Define hypotheses, success metrics, guardrail metrics, and evaluation criteria for product experiments. Support A/B tests, controlled rollouts, phased releases, and other product-validation methods. Conduct post-launch reviews to determine whether delivered features achieved their intended outcomes. Track whether recommendations lead to product changes and measurable improvements. Stakeholder Collaboration Work closely with Product Owners, UX Designers, Developers, QA Engineers, Architects, BI teams, operators, and commercial stakeholders. Facilitate workshops to define business questions, KPIs, success criteria, and tracking requirements. Proactively identify relevant insights rather than working exclusively from reporting requests. Establish a regular product-insight cadence through reviews, reporting, and focused deep-dive analyses. Keep stakeholders informed about measurement gaps, data-quality risks, and significant product-performance changes. What we’re looking for: At least three years of experience in product analytics, digital analytics, business intelligence, data analysis, or a comparable analytical role. Previous experience in sportsbook, iGaming, gaming, fintech, e-commerce, or another transactional or regulated digital industry. Strong SQL skills and experience extracting, combining, validating, and analyzing data from multiple sources. Experience analyzing digital-product behaviour, including user journeys, conversion, engagement, feature adoption, and retention. Experience defining analytics events, parameters, tracking plans, event taxonomies, and measurement frameworks. Practical experience with analytics and visualization tools such as GA4, Microsoft Clarity, Power BI, Looker, Tableau, Amplitude, Mixpanel, or equivalent platforms. Ability to transform complex data into clear findings and actionable product recommendations. Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences. Strong attention to detail and a disciplined approach to data quality and validation. Experience collaborating with Product, UX, Engineering, QA, BI, and commercial teams. Good understanding of web and mobile application behaviour, including client-side and server-side tracking. Professional proficiency in English. A degree in statistics, mathematics, computer science, economics, business, or another relevant discipline. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We’re looking for a Junior People Operations & Payroll Specialist to join our People Operations team and build a strong foundation in Payroll. Working closely with our Payroll Specialist and the wider People Operations team, you’ll get hands-on exposure to the full payroll cycle, Spanish labour administration and our HR and payroll systems , gradually taking on more responsibility and ownership as you develop in the role. This is not a role where you’ll spend your time observing from the sidelines. From the beginning, you’ll work with real payroll processes, employee data and People Operations activities, learning how payroll works in practice within a fast-growing, international company. You don’t need to arrive knowing everything. We’re looking for someone who is curious, comfortable with numbers, highly attentive to detail and eager to learn . We’ll give you the exposure and support to develop your expertise over time. It’s a great opportunity for someone at the beginning of their career who wants to build a future in Payroll and People Operations and progressively become more autonomous in the role. 📍 Location & ways of working: This role is based in Barcelona and follows our hybrid working model, typically 3 days per week in the office and 2 days working from home . This is not a remote position , so please apply only if you are currently based in Barcelona or willing to relocate and can commit to this hybrid setup. What challenges will you be solving 🚀 Learn the payroll cycle from end to end: support the monthly payroll process, including the preparation, validation and review of payroll inputs and documentation. Help us keep our payroll data accurate: maintain employee and payroll information across our systems and make sure changes are correctly reflected and documented. Support the employee lifecycle: help manage the payroll and administrative side of hires, contract changes, leaves, absences and terminations. Learn Spanish labour and Social Security administration: support Social Security and other payroll-related administrative processes while developing your knowledge of Spanish payroll practices. Help ensure payroll is right: support payroll checks and reconciliations, identify discrepancies and learn how to investigate and resolve them. Keep our payroll operations organised: maintain payroll documentation, trackers and internal controls so that information is accurate, accessible and reliable. Support our employees: help respond to payroll-related questions and collaborate with People Operations, Finance and our external partners when needed. Grow your ownership: as your knowledge develops, progressively take responsibility for more complex payroll activities. Help us work smarter: bring curiosity and fresh ideas to how we operate, contributing to the improvement and automation of our payroll processes. What you'll need 🤝 You’re at the beginning of your career and genuinely interested in developing your expertise in Payroll and People Operations . You have studied or are currently studying Labour Relations, Human Resources, Business Administration, Finance, Accounting or a related field. You’re comfortable working with numbers, spreadsheets and detailed information , and you naturally pay attention to accuracy. You’re organised, proactive and curious, and you’re comfortable asking questions when you don’t know something. You enjoy understanding how and why things work , rather than simply following a process. You’re comfortable handling confidential information responsibly. You can work professionally in Spanish and have a good level of English . Previous exposure to A3innuva or other payroll software would be a plus. Previous experience in Payroll or HR administration is welcome, but not required . We care much more about your potential, attitude and willingness to learn. What we offer 😎 We have a strong and sustainable foundation where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. A role with direct, visible impact: in 12 months you will have changed how seQura hires. Exposure to the whole company: you will work with managers across every function and every market. 23 vacation days + 2 days of free disposal per year. Professional development workshops and seminars. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and Adeslas. Urban mobility support via Kleta. Free access to healthy, organic, and sustainable fruits. Wellness Programme covering 6 areas: occupational, physical, financial, emotional, social, and environmental. Our hiring process Screening call with the Hiring Manager In-depth competency interview with the Hiring Manager Final interview with the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, colour, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or other characteristics. Do you want to be part of the change? Join us! 👇

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Do you care about building a user base from scratch, testing unproven acquisition channels, and implementing wild ideas beyond paid search? Are you enthusiastic about shipping now, preferring to go live with rough ideas today over polishing presentations for next month? If so, this is the role for you. In this role, you’ll join the team building Qure , an AI copilot for web testing automation. This desktop app turns manual testing flows into production-ready automated scripts, saving hours of manual coding. We’re a seven-person team funded directly by JetBrains. About JetBrains Innovation Hub JetBrains builds software development tools used by more than 15 million people, over 300,000 companies, and 88 of the Fortune Global Top 100. Innovation Hub is its internal startup incubator, where small autonomous teams build new products, funded and employed by JetBrains. Qure runs inside the Innovation Hub with its own roadmap, go-to-market strategy, and customers. For you, that means a founding role without the runway risk. You build acquisition from zero, with the funding, benefits, and stability of an established company behind you. What you’ll do Qure is a fresh product, so the acquisition channel map is practically blank. Paid search, video, newsletters, marketplaces, paid communities, and content are all unproven for Qure. We need someone to determine how best to find its audience. With a high degree of freedom, a lean team, and no marketing bureaucracy, decisions you make on Monday go live by Wednesday. Day to day, you will: Run parallel channel experiments across paid search, video, communities, and organic traffic to discover what actually converts. Shut down underperforming channels early using your own data to ground the decision. Produce your own marketing assets, including ad copy, screen recordings, and landing pages. Work directly with the product team to ship acquisition-focused product requirements, such as custom onboarding flows or free tools. Build and maintain end-to-end funnel tracking, from a user’s initial click to aha moment to LTV. What you’ll bring Comfort operating without a playbook and deciding what to test when acquisition channels are entirely unproven. Honesty about performance, with the discipline to cut underperforming channels based on data before anyone asks you to. A bias for action that favors shipping functional campaigns quickly over prolonged polishing. What you’ll need Demonstrated success growing self-serve products with direct responsibility for user activation. Experience managing marketing budgets across channels and reallocating spending based on user acquisition economics. The capability to create your own creative assets – including copy, landing pages, and product demos – without relying on external agencies or designers. Daily experience using LLMs in your own work for research, creative drafting, and data analysis, with the judgment to know when they help or hinder work. Experience working inside a startup or a small, fast-moving product team. Experience doing marketing for developer tools, QA products, or AI tools is a plus. What success looks like In your first three months, success means establishing a fully measurable acquisition funnel from a user’s first click to the aha moment. You will have run parallel channel experiments, determined the true cost per active user or B2B lead, shut down non-viable channels, and identified one or two channels worthy of significant investment. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. If this sounds like the right challenge for you, submit your application and let's talk. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.