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Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: Forward Deployed Engineers at Sentry help our largest customers get real value from Sentry, from integrating the SDK to making sure the right alerts and issues reach the right people at the right time. This role is a Senior Solutions Engineer who goes further: you'll help us build Sentry's forward deployed motion. That means working shoulder to shoulder with our most important customers, often inside their codebases and workflows, instead of advising from the outside. When a customer's problem needs more than a best-practices doc, such as a custom integration, a tricky instrumentation setup, or a working prototype, you'll build it with them, then turn what you learn into repeatable patterns for the rest of the team. Forward deployed work is new here and you will have a part in building this arm. You'll start with the core Solutions Engineering work and take on more hands-on deployment work as customers pull you into it, helping define what this motion looks like at Sentry. The goal is simple: reduce time to value. The outcomes we care about: - Developers can quickly find and resolve slowdowns and errors in their applications. - Customers get to value faster, and the lessons from each deployment make the product better for everyone.   IN THIS ROLE YOU WILL - Turn customer goals into a plan. Understand customers' pain points and objectives, then act as their trusted advisor, translating them into implementation plans, workshops, and best practices that show clear business value. - Get Sentry set up, in the code. With the customer's permission, work in their codebase like a member of their engineering team, delivering the pull requests that fully set up Sentry so data is flowing from day one. - Instrument what matters most. Add custom telemetry for a customer's most critical user journeys and build the dashboards and alerts that go with it. - Lead migrations. Move customers off their existing observability tools by setting up their Sentry organization and delivering PRs that introduce Sentry and remove the old solution. - Work like a trusted contractor. Stay within the scope and access you've been given, take extra care in live environments, test thoroughly, and ship pull requests that customer engineers are glad to merge. Embed with their teams, including on site, when it helps. - Build the motion. Turn one-off deployments into repeatable playbooks and tooling, help define how forward deployed engagements are scoped and measured, and bring what you learn back to Product and Engineering.   YOU’LL LOVE THIS JOB IF YOU - You'd rather sit with a customer's engineers and fix the problem in their code than write them a recommendation - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle!   QUALIFICATIONS - 3+ years of experience, with some mixture being Software Engineering and Solutions Engineering/Implementation and at least 1+ year being a FDE - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc - Excellent communication and presentation skills, with credibility in front of engineers and engineering leaders - Problem solver, knowledgable, and can-doer - Bonus: experience with observability, APM, or error monitoring tools, including migrating customers from another vendor, or helping build a forward deployed or customer engineering function   The total compensation range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $230,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: New York, NY (HQ) 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 Corporate Security at Ramp owns the identity and access layer for the company: Okta, Google Workspace, the SaaS applications behind them, and the governance that decides who holds what. We are hiring a Senior Security Engineer, Identity, to turn that layer into IAM as a service — a platform the rest of Ramp can use without filing a ticket.   The role is hands-on. You will design how identity works at Ramp and write the code that implements it: identity configuration in Terraform, entitlements created and governed through an agentic workflow, and an on-call agent that answers access questions before anyone has to ask a person. As more access flows between applications and AI agents rather than people, you will own how those identities are issued, scoped, and audited.   You will report to the Corporate Security lead and work closely with IT, Security Engineering, AI DevX, and the Data team. WHAT YOU'LL DO - Own Terraform for identity services: Okta applications, authorization servers, authentication policies, groups and group rules, and SCIM provisioning - Design and operate custom authorization servers, including audiences, scopes, claims, and access policies for internal services and AI agents - Implement app-to-app and agent access through Cross App Access (XAA) and ID-JAG, so delegated access is brokered and governed by the IdP rather than granted user by user - Own our IGA platform: the entitlement catalog, ownership, access requests, time-bound grants, and certifications - Build the agentic workflow that takes a team from "I have a new group of people who need access to X" to a defined, owned, and governed entitlement, with the Terraform and IGA changes opened for review - Build identity graphs with ISPM tooling to target overprivileged and long-standing access across human and non-human identities - Build the identity data lake behind an on-call agent that can explain events like a User Not Assigned Application error in Okta before the employee opens a ticket WHAT YOU NEED - 6+ years in identity engineering or IAM, including operational ownership of Okta or an equivalent identity provider at scale - Deep understanding of OAuth 2.0, OIDC, SAML, and SCIM, including how custom authorization servers issue and enforce aud, scope, and claims - Working knowledge of how XAA and ID-JAG work under the hood, including token exchange and JWT bearer grants - Experience with ISPM or identity graph tooling, and turning its findings into automated remediation - Experience owning an IGA platform or building the equivalent in-house - Terraform experience managing identity providers, including module design, state, and CI - Programming in Python or Go, with experience building against platform APIs 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, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Payroll Operations Specialist Remote (Prefer Mountain and Pacific time zones) Role Summary Sony Interactive Entertainment (SIE) is seeking an experienced, organized, and collaborative Sr. Payroll Operations Specialist to support US and Canadian payroll operations within a global organization. This role is responsible for coordinating, prioritizing, and executing payroll activities to ensure accurate, timely, and compliant payroll delivery. The ideal candidate understands end-to-end payroll processes, anticipates operational dependencies, and collaborates effectively with regional and global stakeholders. The position requires hands-on payroll experience, strong operational judgment, and the ability to leverage technology, AI, and performance metrics to drive efficiency and continuous improvement. What You’ll Be Doing: Payroll Operations Coordinate and execute payroll activities across multiple pay groups and processing cycles, ensuring accuracy, compliance, and timely completion. Manage payroll schedules, checklists, audits, reconciliations, and competing priorities.Sr. Support complex payroll activities, including leaves of absence, international assignees, terminations, and special payments. Proactively identify and resolve payroll discrepancies, operational risks, and processing delays. Process Coordination and Collaboration Provide day-to-day operational guidance and indirect leadership to Payroll Analysts by coordinating work assignments, aligning priorities, monitoring progress, and supporting timely, accurate payroll execution without direct people-management responsibility. Understand upstream and downstream payroll dependencies across HR, Benefits, Leaves, Finance, and other functions. Collaborate with regional and global stakeholders to resolve issues and improve payroll processes. Partner with technical teams on system-related issues, business requirements, and user acceptance testing. Employee Support and Continuous Improvement Manage employee payroll inquiries through case management systems, ensuring timely and accurate resolution. Monitor payroll KPIs, including accuracy, timeliness, exceptions, and case resolution. Leverage AI, automation, and analytical tools to improve efficiency, accuracy, and operational workflows. Identify recurring issues, support root cause analysis, and implement process improvements. Compliance and Controls Apply US and Canadian payroll regulations and established company policies. Execute payroll controls, audits, and reconciliations while supporting SOX compliance and audit requirements. Maintain accurate payroll documentation, procedures, and records. What We’re Looking For: 7+ years of progressive payroll experience supporting US and Canadian payroll operations. Hands-on experience with Dayforce Payroll and Workday HCM ; Dayforce Workforce Management experience preferred. Strong understanding of end-to-end payroll processes, compliance requirements, and operational dependencies. Experience supporting international assignees or cross-border payroll activities. Demonstrated ability to organize complex workflows, manage competing priorities, and meet critical deadlines. Experience working collaboratively within a regional payroll team in a global organization. Strong analytical, Excel, problem-solving, and communication skills. Experience with payroll audits, case management, process improvement, and performance metrics. Familiarity with AI and automation tools to improve payroll efficiency and accuracy. Bachelor's degree or equivalent professional experience; CPP, PCP, or PLP certification preferred. Measures of Success Accurate, timely, and compliant payroll delivery. Effective prioritization and proactive resolution of operational issues. Strong collaboration across regional and global teams. Continuous improvement in payroll accuracy, efficiency, and employee service. Consistent adherence to payroll controls and compliance requirements. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $135,900 — $203,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own the architecture of the agentic stack, and other engineers build against patterns you set You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) You’ve raised the technical bar on at least one thing the team was doing the slow way What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 7+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Influence : you’ve shaped roadmap, not just executed it Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Metadata is a key component of the Box Content Cloud, enabling customers to add rich context to their files and transforming them into actionable, intelligent content. In its current iteration, it's used across the enterprise to organize, discover, annotate, secure, and retain content at massive scale. Metadata Platform adoption continues to grow exponentially as more core Box products, such as Shield, Automate, Extract, Sign, and Governance, rely on it internally, and as our customers build mission-critical custom applications leveraging its capabilities. But we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver Box's next-generation Metadata Platform, we are looking for an Engineering Manager II to lead, grow, and mentor a team of talented, collaborative engineers responsible for developing and scaling these foundational capabilities. In this role, your technical leadership and people management will ensure our platform capabilities are delivered securely, reliably, and compliantly worldwide, while fostering a team culture of high ownership, innovation, and engineering excellence. The work you and your team do will have an immediate and lasting impact on how millions of users at the world's most important enterprises manage and work with their critical content. WHAT YOU’LL DO Partner with product management and technical leadership to define platform vision and roadmaps. Lead, coach, and develop a team of engineers focused on building scalable distributed systems, enabling them to do their best work. Lead design and implementation efforts for new services and components of our platform, from the ground up. Drive design and implementation of scalable services with a focus on reliability, observability, operability and efficiency. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, Elasticsearch, Spark, Istio, etc. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. WHO YOU ARE You have 6+ years of experience in software engineering with 2 or more of those years in a management role You have proven experience managing and scaling high-performing engineering teams in complex, large-scale production environments You are an excellent communicator, able to clearly articulate technical vision and foster alignment across diverse stakeholders. You are a collaborative leader who empowers engineers, promotes ownership, and drives accountability You have experience owning and operating highly available business critical systems. You have a Bachelors degree or higher in Computer Engineering, or a related field. Based in or willing to work from our Redwood City office at least 3 days per week Nice to Haves Familiarity with Elasticsearch/Solr/Lucene or other information retrieval systems. Familiarity with the RAG pattern and vector/semantic search systems. Experience with public clouds like Google Cloud Platform, Amazon Web Services or Azure. Experience deploying and operating high volume and velocity microservices on Kubernetes. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,500 USD

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role As a Staff Security Engineer, you will shape and deliver Duolingo’s security strategy, safeguarding our learners, employees, systems, and services. You’ll identify the highest-impact security problems, lead complex initiatives from proposal through production, and build durable security capabilities across our applications and cloud infrastructure. Working across Engineering, Product, Legal, Finance, and IT, you’ll make practical risk decisions, establish secure-by-default patterns, and help teams ship safely at scale. This role is based in New York City. We know great candidates bring different combinations of experience. If you meet some or most of the qualifications below, we encourage you to apply! :brain:  You will... Set technical direction for security across Duolingo’s applications, cloud infrastructure, and engineering systems. Lead complex, multi-team security initiatives from problem definition and design through implementation, measurement, and ongoing ownership. Design and build scalable security services, controls, and automation that prevent, detect, and remediate risks with minimal manual effort. Partner with engineering teams to threat model systems, review architecture and code, prioritize risks, and deliver practical mitigations. Strengthen security across the software-development lifecycle, including secrets management, dependency security, vulnerability management, and CI/CD controls. Evaluate Duolingo’s security posture, use evidence to identify the highest-impact investments, and define measurable outcomes for security programs. Lead technical response to significant security incidents and translate lessons learned into lasting improvements. Establish reusable secure-by-default patterns for cloud and application infrastructure, including infrastructure as code. Communicate technical risks, tradeoffs, and recommendations clearly to engineering teams and company leaders. Mentor engineers, scale security knowledge through documentation and guidance, and raise the technical bar across Engineering. :check: You have... A track record of leading large, complex security engineering initiatives across multiple teams from proposal through production. Deep experience in at least two of the following areas: application security, product security, cloud security, infrastructure security, detection and response, or security automation. Strong software-engineering skills in one or more programming or scripting languages and experience building reliable production systems or internal platforms. Experience securing cloud environments and designing controls for identity, networking, data protection, secrets, logging, and workload security. Experience applying threat modeling, architecture review, code review, and vulnerability analysis to real-world systems. Experience using infrastructure as code and CI/CD to deliver repeatable, testable, and secure configurations. Sound judgment in balancing security risk, engineering effort, product needs, and business priorities. Clear written and verbal communication skills, including the ability to influence stakeholders with different technical backgrounds. The ability to work from or relocate to New York City. :star: Exceptional candidates will have... Experience building a security program or technical capability from an early stage and scaling it across an engineering organization. Experience securing large, multi-account or multi-cloud environments, particularly AWS and GCP. Experience creating security platforms or paved-road patterns adopted broadly by engineers. Experience leading high-severity incident response and driving durable improvements afterward. Experience applying AI-assisted tooling to security analysis, remediation, or control validation. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000 — $306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, our purpose is to build a safe, simpler digital future for everyone. As a Senior Staff Performance Marketing Manager, you’ll lead multi-channel paid Business-to-Business (B2B) strategy that supports our sales-led growth motion, helping reach enterprise and mid-market audiences and turn marketing investment into qualified pipeline and revenue. Reporting to the Director of Performance Marketing, this role is open to candidates based in the United States or Canada. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: • 8+ years of experience in performance marketing, demand generation, or growth marketing. • Hands-on experience managing paid channels such as affiliates, paid social, display, native, programmatic, direct buys, or emerging channels. • Experience supporting a sales-led growth motion and connecting marketing activity to Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQLs), pipeline, and revenue. • A track record of driving measurable pipeline and revenue impact through paid B2B programs. • Strong analytical skills and the ability to make thoughtful decisions using incomplete or imperfect data. • Experience partnering with campaign, analytics, marketing operations, or other cross-functional teams to improve performance. • Experience marketing complex technical products to audiences such as developers, information technology (IT) professionals, or other technical decision-makers. Experience in cybersecurity or familiarity with artificial intelligence (AI) tools and automated workflows is also a plus. What you can expect: • Own the B2B performance marketing and demand generation strategy for a sales-led growth motion, aligning paid programs with pipeline and revenue objectives. • Develop annual and quarterly roadmaps informed by business goals, audience insights, performance trends, and experimentation results. • Manage paid channels and platforms end to end, from strategy and execution through optimization, reporting, and continuous improvement. • Evaluate Return on Investment (ROI), marginal returns, and channel performance to guide budget shifts, scaling decisions, and investment strategy. • Monitor leading indicators such as leads, MQLs, conversion rates, and Cost per Lead (CPL), as well as downstream pipeline, opportunity volume, and revenue influence. • Design, execute, and analyze experiments across audiences, channels, creative, offers, and funnel stages, translating results into scaled programs and clear recommendations. • Partner with Global Campaigns, Analytics, Marketing Operations, and external vendors to improve lead quality, strengthen campaign performance, and share actionable insights. USA-based roles only: The annual base salary for this role is between $157,000 USD and $228,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $133,000 CAD and $183,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Los Angeles, USA Riot is building the capabilities to carry AI and machine learning from promise, through prototype, into reliable production systems. AI Foundations helps make that possible by building shared platforms and enabling teams across Riot to deliver meaningful AI-powered outcomes. We are looking for an engineering leader to oversee the AI Foundations engineering organization. You will be accountable for the technical impact of the group including organizational health, operational excellence, software and machine learning craft quality, and engineering output. All Engineering Managers in AI Foundations will report into this role. You will partner with product and executive leaders to connect Riot’s goals to a clear charter, long-term roadmap, and investment choices. The role calls for an organization-level leader who stays technically engaged: close enough to understand the engineering realities, guide important decisions, and address risks, while creating the clarity and space for managers and teams to lead execution. Responsibilities: Set technical strategy and direction. Work with product and engineering partners to shape AI Foundations’ charter, priorities, and long-term roadmap. Translate organizational goals into clear outcomes, make deliberate investment and trade-off decisions, and explain what the organization will and will not take on. Lead and develop the engineering management organization. Set clear expectations, coach managers to take ownership and deliver results, uphold a consistent engineering-management and performance bar, and identify and develop future leaders. Own the organization’s results. Be accountable for the total output and outcomes of multiple teams. Ensure teams understand their goals and value, evaluate commitments against the roadmap, make delivery and risks visible, and act quickly to unblock or accelerate work when needed. Build the organization and its capabilities. Plan for future staffing and skills, identify gaps against the roadmap, and develop role or team proposals grounded in opportunity and cost. Partner with Talent on hiring and onboarding, make hiring decisions at the appropriate level, and drive strategic planning, forecasting, and compensation planning for the organization. Guide technical quality and operational ownership. Stay engaged in the technical outcomes across AI/ML, software, data, and agentic systems. Build alignment on architecture and technical strategy; ensure teams deliver reliable, secure, maintainable production systems with appropriate evaluation, observability, incident response, and ownership. Make sound trade-offs across quality, reliability, latency, cost, and technical sustainability. Improve how the organization works. Build operating mechanisms that improve efficiency, team health, and delivery transparency. Address recurring friction, misalignment, and unresolved risks directly. Ensure the organization learns from operational issues and changes course as needed. Create leverage across Riot. Build trusted partnerships across game teams and central functions. Share reusable engineering patterns, platform capabilities, evaluation approaches, and lessons learned so AI Foundations’ work strengthens Riot’s ability to build and operate AI systems beyond any one team. Communicate with clarity. Make decisions, trade-offs, and uncertainty legible to managers, engineers, product partners, game leaders, and executives. Surface risks early, give timely and actionable feedback, and resolve difficult conversations with candor and sound judgment. Required Qualifications: 12+ years of industry experience in software engineering, machine learning engineering, AI, or a closely related discipline, including 8+ years of management experience. Proven ability to coach managers, set clear expectations, manage performance, develop future leaders, and maintain a high and consistent engineering bar with accountability for organization-wide outcomes. A strong record of building, shipping, and operating production software, AI/ML systems, or platforms that deliver measurable value to players, customers, or internal teams. Strong technical credibility and judgment across software systems and AI/ML—sufficient to assess architecture, quality, operational health, reliability, scale, security, cost, and user impact, and to guide technical direction across teams. Demonstrated ability to turn ambiguous product or business needs into an organization strategy, long-term roadmap, measurable outcomes, and clear priorities; make trade-offs based on mission, capacity, and impact; and maintain alignment as plans change. Experience shaping organizational capacity and capabilities, including identifying skills gaps, planning staffing, and making sound hiring and investment decisions. Demonstrated ability to build trust and influence across organizational boundaries, including with product, game, platform, data, research, and executive partners. Excellent written and verbal communication, with a bias toward clarity, explicit ownership, timely feedback, and candid discussion of uncertainty. Sound judgment around responsible AI and production risk, including privacy, security, safety, and the operational consequences of deploying AI-enabled systems. Experience in live-service games, interactive entertainment, consumer products, or other high-scale, real-time environments. Experience with one or more areas such as generative AI, LLM applications, agentic systems, personalization, recommendations, ranking, player modeling, game AI, reinforcement learning, computer vision, or multimodal systems. Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field; or equivalent practical experience. Desired Qualifications: Experience partnering across data engineering and platform teams on model development and operations, including data and feature pipelines, inference services, orchestration, model registries, evaluation, or ML observability. Experience building AI/ML products, shared platforms, developer tools, or technical capabilities used by multiple product groups. Graduate degree in Computer Science, Engineering, Machine Learning, or a related field. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about p layers' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Europe Workplace: Remote OUR VISION & PRODUCTS 🚀 EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we’re only just getting started! OUR TEAM We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) YOUR ROLE Most LLM roles stop at experimentation. Here, the models you improve power experiences for 50M+ users. Most of our traffic runs on self-hosted, fine-tuned open-weight models. On our internal roleplay evals, our smaller fine-tuned models can outperform much larger off-the-shelf models. Your job is to make them better. You’ll join a small AI team led by Marco, our LLM Tech Lead, working closely with our CTO, Product, Web and DevOps teams. You’ll work across data, post-training, evals, and model behavior, taking ideas from failure analysis to production. The problems are real: personalization, character consistency, long conversations, better evals, multilingual behavior, and faster training cycles. If you want to shape model behavior at consumer scale, this is the role. KEY RESPONSIBILITIES - Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods such as DPO and GRPO - Diagnose model failures and turn them into experiments. Decide whether the answer is better data, post-training, prompting or classifiers - Build training data and evals that directly shape what gets trained next - Improve model behavior across personalization, consistency, tone, multilingual and group interactions - Ship to production and use real user behavior to guide the next iteration - Speed up the training loop so experiments are faster, easier to compare, and more reproducible YOUR QUALIFICATIONS - You’ve personally post-trained open-weight LLMs for a user-facing product and shipped them to production - You’ve worked where AI was core to the product or business, not an experimental side feature - Fine-tuning is core to your experience - Strong Python, PyTorch and Hugging Face, with hands-on GPU training and debugging - You build data and evals yourself and make decisions from evidence - You can take work beyond notebooks into production - You use AI tools daily in your own engineering work - You are fully comfortable working with uncensored models and explicit NSFW content, including harmful material when developing and evaluating moderation system BONUS POINTS - Experience with conversational AI, roleplay products, or highly personalized consumer AI - Multilingual LLMs - Moderation, safety, or adversarial testing - Multimodal models - Open-source LLM / post-training contributions WHY EVERAI? 📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond 🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it 🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance 🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship 👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity 🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale WHAT WE OFFER ✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows 🎯 TOP TIER TALENT IS OUR MULTIPLIER We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with. We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that’s you — reach out and apply!

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll lead large backend initiatives, guide the modernization of a large monolith into modular, reusable, appropriately independent systems, and set standards that help teams move faster without compromising quality, security, reliability, or operability. You'll work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups. You'll lead complex backend architecture, make product trade-offs, and influence technical direction without formal authority. GitLab is an open core software company that develops an artificial intelligence-powered DevSecOps platform. Our mission is to enable everyone to contribute to and co-create the software that powers our world. We work in an all-remote, asynchronous environment where you communicate decisions clearly in writing and work independently. What you’ll do Lead the technical design and delivery of backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Drive modular backend, service, data, and platform architecture, including modernization of the monolith and legacy backends while preventing fragmentation and service sprawl. Define and improve standards for application programming interfaces, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability. Establish patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to the production estate, and guide Rust adoption where it addresses systems, security, performance, or supply-chain needs. Take part in on-call and incident response for systems your teams own, serve as a technical escalation point during complex incidents, and turn lessons from incidents into lasting improvements. Partner with Product and Engineering leadership on platform roadmap decisions and investment trade-offs. Mentor Senior and Intermediate engineers, reduce technical debt, build reusable patterns that improve team throughput, and lead adoption of artificial intelligence-assisted and agentic workflows with quality, security, privacy, and operational guardrails. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring A record of leading technical work across more than one team or a broad product area. Deep backend architecture and production experience with complex applications, services, or platforms, including application programming interfaces, service platforms, data systems, modular monoliths, or shared backend components. Experience modernizing a monolith or legacy backend architecture in production and using modular approaches such as bounded contexts, package encapsulation, ports and adapters, service extraction, or event-driven boundaries. Experience building alignment through clear written proposals and decision records so teams document, understand, and adopt technical decisions. Experience making trade-offs among customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Experience mentoring engineers and shaping standards through code review, documentation, and practice. Production experience with artificial intelligence-assisted or agentic engineering workflows, including improving how a team adopts them. Due to customer requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to fill this position About the team The Core DevOps team owns core repository capabilities, from Git command-line operations to web-based code exploration. We build features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial intelligence-assisted development tools. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product. Why you’ll love this role High Impact: You aren't just shipping features; you are shaping the architecture of a global platform used by millions. Technical Agency: You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity. Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems. Autonomy: You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users. What you’ll do Drive Technical Direction: Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services. Raise the Bar: Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness. Mentor & Lead: Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews. Operational Excellence: Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate. AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Deep Backend Expertise: A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Adaptability: Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language. Architectural Judgment: Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Influence: Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality. Agentic AI Expertise: Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale. Due to customer requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to fill this position The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $174,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Billing & Payments Engineering team builds and owns the mission-critical systems that power 1Password’s revenue engine end-to-end. We are responsible for the highly available architecture that enables seamless subscription management, complex payment processing, and global financial compliance. From managing the intricate logic of the subscription lifecycle—creations, renewals, upgrades, and cancellations—to integrating with diverse payment gateways and app-store ecosystems, our work ensures a frictionless experience for our customers. As a team, we are actively architecting the next generation of our billing infrastructure, modernizing and consolidating our systems to support rapidly scaling product lines, guarantee absolute data integrity, and ensure robust integrations with downstream financial workflows. In this role, you’ll design, build, and operate reliable backend services while owning complex initiatives from initial design through production. Your work will help create a safer, simpler digital future by making it easier for customers to access and rely on 1Password. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Demonstrated expertise in engineering robust backend architectures using Go, alongside a history of taking end-to-end ownership of complex initiatives from initial design to live production deployment - A drive for and proven experience in software development best practices, and coding standards - You enjoy solving complex problems with a demonstrated ability propose effective solutions - You like communicating and collaborating and can demonstrate experience in working effectively with team and communicating technical concepts to non-technical cross-functional partners - You’re passionate about testing methodologies and debugging techniques to ensure high-quality code Bonus points for: - Billing & Payments: Experience building or maintaining billing, payment processing, or subscription platforms (e.g., Stripe, native app stores). - Distributed Systems: A strong background in designing and scaling highly available, fault-tolerant distributed architectures. - API Integrations: Proven ability to build resilient integrations with third-party APIs, including handling webhooks, retries, and strict idempotency. What you can expect: - Code, test, debug, deliver and maintain production software systems for new and existing product features - Collaborate with cross functional teams and/or stakeholders throughout the development cycle to ensure smooth releases - Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way - Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions - Participate in planning by identifying major tasks and breaking down, estimating, and planning work - Write comprehensive tests during various stages of the development cycle, ensuring code is functioning as expected - Review code for others to maintain high code quality, knowledge share within the team, and support creating a safe environment of giving and receiving feedback - Generate and review documentation on code processes to ensure scalability - Stay informed about the latest industry trends, technologies, and best practices in development - Be available for on-call rotational work to ensure uninterrupted support and resolve emergencies USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United Kingdom (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 fully remote position and we're considering candidates in the UK. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the UK, the base compensation range for this role is GBP 94,508 - 113,410 . 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the US EST. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the United States, the base compensation range for this role is $167,143 - $200,572 . 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: 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 fully remote position and we're considering candidates in Sweden. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Sweden, the base compensation range for this role is SEK 814,216 - SEK 977,059 . 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 fully remote position and we're considering candidates in Spain. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Spain, the base compensation range for this role is EUR 85,478 - EUR 102,573 . 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 fully remote position and we're considering candidates in Ireland. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Ireland, the base compensation range for this role is EUR 107,120 - 128,544 . 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 .