Вакансии

Мы ищем опытного и проактивного Product Marketing Manager для продвижения нашего продукта на западном рынке (B2C и B2B). • Разрабатывать и внедрять стратегию органического роста (organic growth) для мобильного приложения.

Location: San Francisco Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we’re leaders in that space, with: - $10 billion+ generated by creators since Patreon’s inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We’re continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Software Engineer, Backend (Product Engineering) to support our mission. This role is based in San Francisco and open to those who are able to be in-office 3 days per week on a hybrid work model. About the Team The Product Engineering team builds the experiences that help creators connect with their fans and grow lasting businesses on Patreon. We partner closely with Product, Design, Data, Research, and other engineering teams to deliver high-quality customer experiences. Our work spans multiple product areas, creating opportunities to learn new domains, solve backend challenges, and contribute across initiatives as priorities evolve. About the Role - Own and deliver well-scoped backend projects from technical design through implementation, testing, launch, monitoring, and iteration - Design, build, and maintain reliable, scalable services, APIs, and data models that support user-facing product features - Partner with frontend engineers, product managers, designers, and data partners to clarify requirements, define API contracts, and deliver complete product experiences - Make thoughtful technical tradeoffs that balance product needs, delivery timelines, performance, and long-term system health - Improve the reliability, performance, and maintainability of existing backend systems - Debug production issues and support the ongoing health of the systems you build - Contribute to technical design discussions and code reviews, sharing knowledge and learning from teammates - Learn unfamiliar systems and product areas, contributing across the stack when needed while maintaining a backend focus What you’ll need - 3+ years of professional software development experience, or equivalent demonstrated experience, including independently delivering well-scoped backend projects for user-facing products - Proficiency in Python or a comparable backend language, including experience building and maintaining services and APIs - Experience with SQL, relational databases, and data modeling - Experience testing, debugging, monitoring, and supporting backend systems in production - Ability to design backend components and make thoughtful tradeoffs around reliability, performance, scalability, and maintainability - Strong communication and collaboration skills, with the ability to identify risks early, navigate changing requirements, and connect technical decisions to customer and business outcomes - Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.com. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: White Plains, New York Product Onboarding Specialist At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their individual talents and ideas to strengthen our team, our brand, and our services. We promote a culture that empowers and motivates employees beyond standard corporate rhetoric. Employees understand their individual roles in serving our customers, and this clarity of purpose encourages high job performance. Position Overview The Add-On Product Onboarding Facilitator Configures add on products, features, modules. You will act as the primary point of contact during the post-upsell phase, ensuring a seamless transition from sales to configuring products to revenue. This role requires a blend of technical aptitude, project management skills, and exceptional client relationship management. Primary Job Duties Client Onboarding: Conduct end-to-end boarding processes for clients adopting new add-on products and advanced features. Technical Guidance: Assist cross functional teams with initial configurations, settings, required for the add-on product. Project Management: Manage onboarding timelines, track milestones, and proactively mitigate delays to ensure swift time-to-value. Cross-Functional Collaboration: Partner closely with Account Management, Sales, and Technical Support teams to ensure alignment on customer requirements and smoothly hand off fully onboarded accounts. Resource Creation: Develop and maintain user guides, FAQs, and onboarding documentation to empower self-service learning. Minimum Qualifications Experience: 2+ years of experience in Customer Success, Technical Onboarding, Implementation, or Account Management (SaaS or technology sector preferred). Communication: Exceptional verbal and written communication skills with the ability to explain complex technical concepts to non-technical users. Problem Solving: Strong analytical mindset with a proven ability to troubleshoot configuration issues and handle customer objections. Organization: Excellent project management skills with the ability to manage multiple client implementations simultaneously. Tools: Proficiency with CRM systems (e.g., Salesforce), customer success software, and project management tools. Ability to commute to and work onsite at our White Plains, NY office 4–5 days per week Compensation & Benefits $50,000 – $60,000 annual total compensation (commensurate with experience) Competitive Medical Health Plans, Low, Mid, High. Employer Paid Low Medical Plan for Employee & Dependents (HSA Eligible) Employer Paid Dental & Vision for Employee Employer Paid Life Insurance for Employee Employer Paid Long-term Disability for Employee Employer Paid Hospital Confinement for Employee ~ (If enrolled in Medical) + Voluntary Supplemental Insurance Coverage Options 15 days PTO & 7 Sick Days Annually 10 Fixed Paid Holidays Off Annually 401(k) Matching up to 3% About Us Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually. View our CCPA disclosure notice here

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. The Role As a Senior Product Manager, Internal Tools & Marketing Technology at Fanatics Betting & Gaming (FBG), you will build and scale the platforms that connect customers to the right agent and the right message. You will own two tightly linked systems: the contact center platform that routes, skills, and queues customer contacts across support and VIP; and the marketing technology stack that moves customer events into and out of our engagement platform (XtremePush) to power lifecycle, promotional, and transactional messaging. You will partner closely with operations, CRM/lifecycle marketing, engineering, data, and compliance to translate operational and marketing needs into platform requirements, prioritize a shared roadmap, and deliver internal systems that directly shape customer-facing experiences — whether that’s a new product or state launch, a change in staffing model, or a new campaign journey. Responsibilities Own the contact center routing, skilling, and queue configuration roadmap end to end — from operational requirements through build, launch, and iteration Lead product readiness for new launches across support and marketing surfaces: routing design, agent skilling, queue setup, event instrumentation, and messaging configuration Own the marketing technology integration layer: define the customer events flowing into XtremePush, the triggers and data flowing back out, and the schemas and contracts between platforms Partner with CRM and lifecycle marketing to translate campaign and journey needs into platform requirements, and with engineering and data to deliver reliable, low-latency event pipelines Write clear user stories and product requirements for operations, marketing, and engineering stakeholders Identify gaps in existing back-end systems and operational workflows and translate them into scalable product solutions Use data, research, and operational insight to set roadmap priorities and measure success against defined KPIs (e.g., routing accuracy, handle time, event delivery latency, campaign reach) Partner with engineering on Salesforce-based workflows and additional internal platforms that improve operational efficiency and accuracy Collaborate with chatbot and AI product owners where routing, escalation, and messaging intersect automated support Develop a deep understanding of the FBG platform, operational processes, and the role internal platforms play Operate with a high degree of autonomy, independently driving discovery, requirements, and delivery while aligning closely with senior product leadership and cross-functional partners Qualifications 5+ years of product management experience, preferably in an agile, B2C digital product organization Experience owning end-to-end product features spanning back-office workflows, backend system requirements, data needs, and front-end functionality Experience building products for internal or operational users (customer support, VIP, promotions, risk, compliance, or marketing ops teams) preferred Comfort working with event schemas, APIs, and data pipelines; able to partner with engineering and data teams on technical requirements Experience with Salesforce-based tools or CRM platforms preferred Experience with AI-, automation-, or chatbot-related initiatives a plus Excellent written and verbal communication skills, with the ability to articulate product decisions and tradeoffs Highly collaborative, with a track record across operations, marketing, analytics, design, and engineering Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $117,000 — $194,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Consumer Growth builds mobile and web experiences that help people become Kraken customers, fund their accounts, invest, earn, access new products, build wealth and stay lifelong clients. Product, engineering, design, data, and lifecycle marketing build together.   THE OPPORTUNITY - Own growth in viral, KOL- and creator-referred new transacting users (NTUs). Set aggressive NTU targets backed by a credible growth model, then beat them. Build and scale sharing, referral, and creator systems that drive 10x, then 50x growth while hitting payback targets. - Build sharing people find useful. Create natural reasons to pass on product value, and referral programs with modeled payback incentives, and without relying on aggressive incentives to hit targets. Make both work for the sender, recipient, and business. - Own the audience-to-customer journey. Build and test paths from recommendations and creator audiences to product value and a first transaction. Partner with the teams that own onboarding and core product experiences on shared journeys. - Own Consumer features and updates for the KOL Platform. Set the Consumer roadmap, ship features and ongoing improvements, and make measurement and commercial tools trustworthy and easy to use. Work with the teams that own KOL and affiliate relationships. - Build creator tools across Kraken’s app and web. Help creators, key opinion leaders (KOLs), and power referrers invite their followers and turn their audiences into valuable new transacting customers. Understand their different motivations and build with core product teams. - Make acquisition economics work. Own acquisition cost and gross-margin payback against clear targets, including fully loaded incentive, partner, operating, and fraud costs. Use downstream retention and revenue to judge what deserves more investment. - Increase virality per new transacting user and per returning user. Test ways to improve send conversion, invites per sender, and invite-to-first-transaction conversion. Improve repeat sharing and loop speed, and prove the gains create incremental valuable new transacting customers. - Build measurement you can trust. Validate instrumentation, define hypotheses and guardrails, and run tests that can detect meaningful effects. Separate attributed activity from incremental growth, interpret uncertainty honestly, and check that gains persist as you scale.   WHAT YOU BRING - You’ve personally built a product, tool, feature, or experience that spread beyond its initial audience. You can explain why it spread, your contribution, and how it acquired valuable customers. - Repeated success beating acquisition targets through referrals, product virality, or creator-led growth. Show the baseline, target, result, timeframe, component rates you improved, and your personal contribution. Bring evidence the gains lasted. - Strong growth product sense. You understand sharing psychology and the different motivations of customers, creators, KOLs, and power referrers. You combine customer research, creative product instincts, and strong UX and copy to give people a reason to participate. - Analytical independence. You independently investigate behavior with SQL and product analytics, validate instrumentation, and build funnel, cohort, and growth models. - Experimentation and commercial judgment. You design reliable tests, interpret uncertainty honestly, and distinguish attribution from incremental growth. You understand acquisition cost and payback, including downstream retention, revenue, and fully loaded incentive and fraud costs. - Senior ownership and hands-on execution. You set strategy, make hard priority calls, align teams without relying on reporting lines, and deliver autonomously. You use AI and working prototypes to turn original ideas into experiences people can try.   NICE TO HAVES - Experience building self-service creator or affiliate tools, revenue-share systems, or reliable partner payouts. - Consumer fintech, crypto, payments, or experience designing financial promotions and fraud controls. - Experience adapting growth journeys across markets, cultures, and regulatory environments.     Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Consumer Growth builds mobile and web experiences that help people become Kraken customers, fund their accounts, invest, earn, access new products, build wealth and stay lifelong clients. Product, engineering, design, data, and lifecycle marketing build together. THE OPPORTUNITY - Own growth in viral, KOL- and creator-referred new transacting users (NTUs). Set aggressive NTU targets backed by a credible growth model, then beat them. Build and scale sharing, referral, and creator systems that drive 10x, then 50x growth while hitting payback targets. - Build sharing people find useful. Create natural reasons to pass on product value, and referral programs with modeled payback incentives, and without relying on aggressive incentives to hit targets. Make both work for the sender, recipient, and business. - Own the audience-to-customer journey. Build and test paths from recommendations and creator audiences to product value and a first transaction. Partner with the teams that own onboarding and core product experiences on shared journeys. - Own Consumer features and updates for the KOL Platform. Set the Consumer roadmap, ship features and ongoing improvements, and make measurement and commercial tools trustworthy and easy to use. Work with the teams that own KOL and affiliate relationships. - Build creator tools across Kraken’s app and web. Help creators, key opinion leaders (KOLs), and power referrers invite their followers and turn their audiences into valuable new transacting customers. Understand their different motivations and build with core product teams. - Make acquisition economics work. Own acquisition cost and gross-margin payback against clear targets, including fully loaded incentive, partner, operating, and fraud costs. Use downstream retention and revenue to judge what deserves more investment. - Increase virality per new transacting user and per returning user. Test ways to improve send conversion, invites per sender, and invite-to-first-transaction conversion. Improve repeat sharing and loop speed, and prove the gains create incremental valuable new transacting customers. - Build measurement you can trust. Validate instrumentation, define hypotheses and guardrails, and run tests that can detect meaningful effects. Separate attributed activity from incremental growth, interpret uncertainty honestly, and check that gains persist as you scale. WHAT YOU BRING - You’ve personally built a product, tool, feature, or experience that spread beyond its initial audience. You can explain why it spread, your contribution, and how it acquired valuable customers. - Repeated success beating acquisition targets through referrals, product virality, or creator-led growth. Show the baseline, target, result, timeframe, component rates you improved, and your personal contribution. Bring evidence the gains lasted. - Strong growth product sense. You understand sharing psychology and the different motivations of customers, creators, KOLs, and power referrers. You combine customer research, creative product instincts, and strong UX and copy to give people a reason to participate. - Analytical independence. You independently investigate behavior with SQL and product analytics, validate instrumentation, and build funnel, cohort, and growth models. - Experimentation and commercial judgment. You design reliable tests, interpret uncertainty honestly, and distinguish attribution from incremental growth. You understand acquisition cost and payback, including downstream retention, revenue, and fully loaded incentive and fraud costs. - Senior ownership and hands-on execution. You set strategy, make hard priority calls, align teams without relying on reporting lines, and deliver autonomously. You use AI and working prototypes to turn original ideas into experiences people can try. NICE TO HAVES - Experience building self-service creator or affiliate tools, revenue-share systems, or reliable partner payouts. - Consumer fintech, crypto, payments, or experience designing financial promotions and fraud controls. - Experience adapting growth journeys across markets, cultures, and regulatory environments. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

零一万物 is looking for a Product Manager to plan and design LLM platform agent and To B AI application products through user research and MVP definition while collaborating with algorithm and engineering teams.

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring a Director of Product to build and lead a product function in Clover's new R&D function. Reporting directly to the CTO, the scope of you and your team will span health-plan, care services, and corporate technology. This is a player-coach role. You will personally work through difficult product questions while developing a small, flat team of product managers and embedded product operations staff. Most PM assignments will pursue one or two defined outcomes through repeated research and experiments. A small number of senior assignments will require judgment across ambiguous problem spaces to identify and shape the next project worth doing. You will lead product craft across R&D from the outset, while drawing on the product expertise of Counterpart, our separate technology subsidiary. The surface area is large, and Product missions and capacity will evolve with the business needs and evidence. You’ll work with empowered teams and individuals: our engineers work directly with users, exercise product judgment, and own technical execution. Many operational needs are clear and practical technical solutions are available; the harder work is resolving details, ownership, and adoption. Our bias is to build the simplest useful system and iterate quickly. You will recognize when engineers and operating owners can advance directly, where a PM can improve a defined outcome, and where substantial product or design discovery is needed. As a Director of Product, you will: Build and develop the product team. Hire for the work, give direct feedback, coach research and measurement, and grow people’s judgment while keeping the structure proportionate to the team. Build a culture within product and engineering that values incremental progress toward measurable outcomes, clear stakeholder communication, and aggressive AI-forward productivity. Understand the member journey across plan and clinical operations. Observe the work, review interactions and data, and connect apparent technology problems to the underlying needs of members and staff. Choose focused product missions with business and engineering partners. Decide where dedicated product attention will help and match the assignment to the uncertainty: a defined improvement mission or senior discovery across a broader problem space. Establish useful baselines, define success, test assumptions, and change course when the evidence warrants it. Personally investigate ambiguous opportunities. Turn them into a clear problem, evidence of value, a plausible approach, and a useful first delivery or learning milestone. Develop an embedded Product Operations function that connects frontline observation, testing, training, and adoption to product and engineering decisions. Partner closely with product leaders in other organizations, Special Project Leads, clinical leaders, and operating owners. Make ownership clear across shared journeys and capabilities. Use AI directly to investigate ideas, build and test prototypes, and run bounded experiments. Check the outputs and use what you learn to choose the next step. Work with engineering and operating owners to take promising experiments into production; engineering retains technical delivery and readiness, and operating owners accept the resulting workflow. Success in this role looks like: First 90 days: You understand the initial member and operational journeys, have selected focused product missions with engineering and operating partners, and can explain where teams can advance directly. You are personally advancing a difficult product question, coaching the initial PM work, and establishing credible evidence from an improvement or experiment. First six months: PMs exercise stronger judgment and independently advance their assigned missions. Senior discovery produces focused projects and well-supported decisions to defer or stop. Shipped changes are being used, and product decisions connect to measurable improvements in member experience, operational effectiveness, or unit economics. You should get in touch if: You have led and developed product managers while remaining personally involved in discovery, prioritization, and difficult product decisions. You have built or substantially shaped a product function and are comfortable starting with a small team and an evolving remit. You have improved products used in real operational workflows and can connect software, human work, business economics, and adoption. You use AI heavily in your own work and have a practical view of its capabilities and limitations, and strong hypotheses about its future. You are technically fluent in systems, APIs, data, and AI behavior. You can independently investigate an idea, build and test a prototype, and run a bounded experiment using AI. You can understand the architectural implications of the products you help design. You use research, data, and experiments to make decisions, and can distinguish a promising observation from evidence strong enough to act on. You work effectively with engineers who exercise broad judgment and with operating leaders who own their businesses. You build trust through direct relationships and clear decisions. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $207,000 — $270,000 USD

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid 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  Every business pays bills, and many of them still do it by hand. Someone opens the invoice, types it in, codes it, chases approvals, pays it, matches it and syncs it to the books. It's one of the largest manual workflows left in finance. We're building the version where software does that work. Bills come in and get read, coded, matched, approved and paid, and a person steps in only when judgment matters. Bill Pay is already one of Ramp's fastest-growing products. The next few years decide who owns AP for the next decade, and we plan for it to be us. We're looking for a PM who wants to build that. - Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week. - Level will be determined based on the candidate’s interview performance and previous scope of responsibility. WHAT YOU’LL DO - Own strategy, roadmap and results for a major part of Bill Pay. - Spend real time with AP clerks, controllers and CFOs, and turn what you see into product. - Prototype with customers, set quality bars with Engineering and Data, and ship automation people trust. - Measure success by adoption, automation and time saved, then use the data to decide what comes next. - Work with Procurement, Accounting, Payments and Risk so a bill moves from inbox to payment to the books without gaps. PROBLEMS YOU'LL WORK ON - How do we get from "AI drafts the bill" to "AI handles the bill" without customers losing trust or control? - When should an agent act on its own, when should it ask, and how do we show our work so a controller signs off with confidence? - How do we make one product that a 10-person startup sets up in minutes and a multi-entity enterprise with an ERP and an AP team runs at scale? - How do we catch the wrong bill, the duplicate and the suspicious vendor change before the money leaves? - How do we use what Ramp knows across millions of transactions to help customers pay smarter, not just faster? WHAT YOU NEED - You have 5+ years building products, and you've owned at least one from first customer conversation to real adoption. - You've built with AI hands-on, whether in products, prototypes or side projects, and you have opinions about evals, failure modes and user control. - You're technical enough to go deep with engineers on data models and integrations, and you pull your own data. - You can make complex workflows simple without stripping out what power users need. - You learn new domains fast. You don't need to know AP today, but you'll want to know it better than anyone in six months. - You write clearly, decide quickly and get teams to ship. - You want a hard problem, a high bar and more scope as soon as you've earned it. NICE-TO-HAVES - You've worked on AP, payments, accounting or other finance software. - You've shipped AI to production, especially document understanding or agent workflows. - You've built for enterprise customers: ERPs, multi-entity setups, complex approvals and permissions. - You've worked at a high-growth startup and know what it takes to scale a product that's working. 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

Location: United States; Europe Workplace: Remote ABOUT MATTER LABS Matter Labs invented ZK rollups and built the first one on Ethereum: six years in production, over a billion transactions processed, over four billion dollars in value locked. We want programmable money to become a foundation for the next financial system, with institutions able to shape the services they provide and keep authority as their infrastructure evolves. Prividium is our platform for institutions to build and operate digital asset businesses, with privacy and under their own rules. Prividium Commander is the control plane for digital asset services: an institution decides who can do what and tracks the resulting activity, on Prividium Ledger or on the chains it already runs. Prividium Ledger is a private blockchain with publicly verifiable execution. Prividium Connect gives institutions private, bridgeless transactions across blockchains. Prividium Ledger runs in production for a number of institutional customers. Keeping those ledgers reliable, and making the next ten cheaper to operate than the first four, is the work this role is hired for. Remote and global, few approvals, a CEO you can reach, unrestricted access to the best AI tools and the expectation that you use them, and a hiring bar of hell yes or no. THE ROLE You join the Production Unit, the three-person team that owns ZKsync OS in production for our customers: detection, incidents, rollouts and the service objectives each customer is measured against. Today the work is mostly reactive: on-call, incidents, rollouts, RCAs. The job is to change that. Every page and every manual step is a candidate for a fix in the server, a better alert or an automation. About 30 percent of your time goes to code now, and that share grows as the reactive load shrinks. You own the environments you are assigned end to end: whether a change is safe to roll out, how an incident gets restored and explained, and whether the customer's service objectives are being met. Component teams own their code; you read it, find the cause, and land the fix. WHAT YOU WILL DO: - Run production for institutional customers. Hold the First Responder rotation, coordinate incidents to restoration, and write the RCA the customer's engineers read. - Decide what ships. Go/no-go on changes to your environments, verification before rollout and validation after, including executing sequencer rollouts. - Remove the cause. Turn pages, runbooks and manual steps into fixes in the sequencer, provers or tooling, so the same incident does not come back. - Measure the service. Own the SLA card for your customers, measured monthly against their contracts. - Finish across teams. Drive diagnosis and fixes through the component teams that own the code, without waiting to be asked. - Later, support customers who run the chain themselves, where the fix has to work in someone else's hands. Within a year, on-call load in your environments is measurably lower because of what you shipped, and the unit can take on the next customer without adding people. WHAT WE LOOK FOR - You have been on-call for a system you wrote code for, and you have owned an incident from page to RCA to the fix that stopped it recurring. - You find causes in code you did not write. Strong in a systems language such as Rust, Go, C++ or Java; Rust is learnable here. - You verify before you roll out and you can say which changes are reversible and which are not. - You have run production for a service with external customers, and your incident notices and RCAs were read by their engineers. - You make other teams finish the work without escalating. - You are willing to hold a 24/7 rotation. Nice to have: rollup or node operations experience (sequencer, prover, L1 settlement); Ethereum execution client internals; tooling you built that other teams adopted. If you meet most of this and the rest is learnable, apply anyway. NOT THIS ROLE This is not a Forward Deployed Engineer role, which builds and deploys for a customer from discovery to production readiness; this role operates what is in production. It is not DevOps (clusters, network, L1 nodes, backups and disaster recovery stay with DevOps), not partner management, and not a people-management role. COMPENSATION AND WORK MODEL - Base salary range: USD 192,000 to 230,000 per year. Where an offer lands in the range depends on demonstrated scope and results against the bar described above. For candidates in the EU the same range applies - Performance-based variable compensation and a long-term token incentive are additional. - Benefits (employees): medical, dental and vision from day one, global health cover for team members outside the US; 401(k) with a Safe Harbor match up to 4 percent for eligible US employees, flexible paid time off plus public holidays and two company closure weeks a year; six weeks paid parental bonding leave plus up to ten weeks paid birth recovery leave; confidential mental health support; a USD 2,000 home office stipend, a company laptop refreshed every three years, up to USD 400 a month toward coworking, and a USD 500 annual learning budget; company and team offsites. - Fully remote. You must be based in the US or the EU, with the US preferred; some of our customers whitelist the jurisdictions their operators work from, so this is a hard requirement. - Full-time, as an employee or a contractor. - 24/7 First Responder rotation shared with the Production Unit. Everyone in this role is on it. - We do not ask about your current or past pay at any stage of the process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal, Product Learning & Development About the job Twilio is the world’s leading customer engagement platform empowering developers to build modern communication applications and experiences designed to be trusted, simple and smart. Twilio is looking for a Principal, Product Learning & Development to bring our AI first PDLC vision to life and build the capability our product organization needs to deliver it. Reporting to the Director of Product Strategy & Operations, this role owns how our PMs get better at their craft, and how they learn to do that craft with AI. You'll build the competency model and curriculum that define "how we do product here," then go beyond curriculum by designing and shipping the internal tooling (prompt libraries, agents, PRD generators) that makes a PM measurably faster and sharper. You'll bring our AI first PDLC vision to life, partnering with product and engineering leaders to find where AI genuinely changes the work, and coaching the org through the change. Responsibilities We are looking for a leader who brings product, learning, and hands on AI expertise to help: Design and deliver the PM Academy, covering onboarding and ongoing curriculum across PRD writing, discovery, prioritization, roadmapping, and stakeholder influence, each taught with AI in the workflow. Design and help build and facilitate adoption of "PM in a box": ship internal AI tooling such as prompt libraries, agents, and PRD and research generators, as products with users, feedback loops, and adoption targets. Bring the AI first PDLC vision to life and execute against it, partnering with Product leaders to map current workflows and identify the AI and automation opportunities worth pursuing. Run cohort programs for new PMs and newly promoted PM managers, and design tailored programming for different parts of the organization rather than one generic track. Curate the internal playbooks, templates, and documentation that carry "how we do product here," and keep them current as practice changes. Facilitate workshops, office hours, and 1:1 coaching for PMs and PM leaders, building the credibility to coach senior people. Drive AI adoption across the PM org through a champion network that surfaces use cases from inside each team. Measure impact against baselines captured before rollout. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor’s degree in Business, Computer Science, a related field or equivalent practical experience. 8+ years of experience across product management, consulting, program management, L&D or enablement Experience leading programs or product operations for B2B SaaS, PaaS or equivalent Outstanding written and verbal communication that drives executional impact at scale, distilling complex detail into an executive narrative, and explaining technical concepts to audiences without technical backgrounds. Strong facilitation, and the ability to build trust and exchange ideas across organizational boundaries in service of a broader goal. Excellent problem solving and organizational skills. Ability to thrive in a fast paced, evolving, ambiguous environment, with a default to action in order to adapt quickly to changing priorities and requirements. Desired: Master’s in computer science or engineering or business administration Hands on experience building AI agents, automated workflows, and internal tooling. Experience leading change management in B2B SaaS Location This role will be remote and based in the USA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5-10% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $ 213,900 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500 Based in the San Francisco Bay area, California: $201,280 - $251,600 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until March 1, 2027, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Москва Workplace: Офис Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Мы ищем Product Manager, который будет отвечать за внедрение и развитие продуктовых решений для транспортной логистики. Основная задача — помогать операционным командам осваивать новый функционал, оценивать его эффективность на практике и находить возможности для улучшений. Обязанности Изучать процессы транспортной логистики, потребности пользователей и особенности их работы; Организовывать внедрение нового функционала: взаимодействовать с логистами, проводить презентации и помогать командам осваивать инструменты; Собирать и анализировать обратную связь, выявлять проблемы и передавать их продуктовой команде в виде предложений по улучшению; Оценивать, как внедрённые решения влияют на операционные процессы и бизнес-результаты. Требования Опыт работы в транспортной логистике или понимание операционных процессов, взаимодействия с перевозчиками и организации перевозок; Опыт работы с IT-продуктами: участие в их развитии, внедрении или продуктовом управлении; Умение выявлять потребности пользователей, анализировать обратную связь и формулировать требования к улучшениям; Навыки взаимодействия с разными командами и сопровождения изменений. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Задачи: — развивать технологические продукты для страхового рынка, разбираться в сложных бизнес-процессах и создавать решения, которыми пользуются сразу несколько компаний. — развивать направление страхования жизни внутри существующей платформы; — анализировать и унифицировать бизнес-процессы; — формировать единую продуктовую модель для работы банков с продуктами разных страховщиков; — прорабатывать партнёрские интеграции и возможности масштабирования решения; — формировать требования, управлять бэклогом и сопровождать реализацию продукта вместе с аналитиками и разработчиками. Требования: — опыт Product Manager / Product Owner в страховании/ InsurTech; — понимание страхования жизни и бизнес-процессов страховых компаний; — опыт развития B2B-продуктов, страховых платформ или интеграционных решений; — умение самостоятельно прорабатывать продуктовую логику и переводить бизнес-задачи в требования для разработки; — системное мышление, самостоятельность и готовность глубоко погружаться в продукт. — опыт в страховых B2B-платформах и агрегаторах; — опыт в продуктовых фабриках и конструкторах страховых продуктов; — опыт в развитии партнёрских кабинетов, API и B2B2C-решений. Условия: — Москва, удалённо или гибрид с возможностью очных встреч с командой и партнёрами. — ТК РФ — есть перспектива роста до руководителя продуктового модуля.

Responsibilities: — Define and lead the strategy and roadmap for fraud prevention, covering account integrity, money movement, decisions, controls, and customer protection experiences. — Develop and implement a strategic vision to reduce fraud and enhance risk management, including managing holds, limit structures, step-up verification, and friction points. — Design user journeys that balance risk-based friction with minimal disruption to legitimate users. — Build operational and platform tools to support risk and support teams in managing case volumes and exceptions. — Collaborate with data science teams to develop, deploy, and improve machine learning models continuously. — Establish and monitor metrics to evaluate risk effectiveness, operational efficiency, and customer experience impact. — Support scaling of Mercury's risk capabilities across expanding product offerings. Requirements: — Over 7 years of product management experience, specifically in fraud or risk within banking or fintech sectors. — Strong customer empathy and understanding of how risk friction affects user experience, growth, and retention. — Experience with complex automated decision systems, rules, machine learning models, and real-time data pipelines. — Proficiency in analytics and the ability to interpret performance metrics and trade-offs in ML models. — Proven cross-functional leadership skills, especially in balancing risk, compliance, and customer experience. — Excellent communication skills to translate complex risk concepts into actionable product strategies. — Ability to make balanced decisions amid ambiguity and imperfect information. Benefits: — Competitive total rewards package including base salary, equity (stock options/RSUs), and benefits. — Salary ranges are competitive within SaaS and fintech industries and adjusted based on experience, expertise, location, and internal equity. Additional Information: — Work location options include on-site in San Francisco, New York, Portland (US), or remote within Canada or the United States. — Mercury is a fintech company providing banking platforms and financial services for startups and small businesses. — Mercury is not an FDIC-insured bank; banking services are provided through partner institutions. — Mercury is an Equal Employment Opportunity employer committed to diversity and inclusion, providing accommodations for applicants with disabilities or special needs.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 814,000 - SEK 1,017,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Germany, the base compensation range for this role is € 100,000 - €125,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Spain, the base compensation range for this role is €85 ,000 - €107,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .