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Own the end-to-end product strategy and roadmap for a key product area, translating company priorities into a clear, prioritized plan of execution. Lead cross-functional initiatives, aligning Engineering, UX, Clinical, Legal, and Commercial partners around a shared vision and set of goals.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation Translate Claude’s technical capabilities into clear business value for manufacturing use cases Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory Identify new use cases and feed customer and market insights back into the product roadmap Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value Track record of closing complex, multi-stakeholder enterprise deals Existing commercial network among Taiwan-based enterprises Fluency in Mandarin and English, with strong written and verbal communication and presentation skills Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan Bachelor’s degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors Experience co-selling with hyperscaler, channel, or SI partners Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements Interest in or experience with advanced AI systems and their safe development Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care. Key responsibilities Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness Draft and review user-facing terms, disclosures, in-product copy and marketing claims Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones Pick up new areas as priorities shift, and help with incidents and escalations when they come up Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products Experience advising business or product teams directly, not only other lawyers Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries Curiosity about how AI products work, and the ability to pick up technical concepts quickly A habit of making a clear recommendation, even with incomplete information Comfort moving between assignments as priorities change, with no job too big or too small Clear, concise writing that non-lawyers can act on Openness to feedback and a track record of improving quickly Experience using AI tools in your legal work, or a strong interest in learning to do so Empathy and a service orientation, with a real commitment to Anthropic's mission Preferred qualifications In-house product counsel experience, or a secondment with a product team Experience with subscription businesses, promotions, or consumer billing Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services Experience building playbooks, self-serve guidance or legal automation Application Deadline: 6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 — $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, 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 We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching. These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact. You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution. You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve. This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week. IN THIS ROLE YOU WILL - Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them. - Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales. - Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity. - Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction. - Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components. - Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders. - Foster a culture of engineering excellence, technical accountability, and continuous improvement. - Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives. - Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment. - Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders. - Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute. - Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business. - Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions. - Take pride in building high-performing teams, developing future leaders, and raising the engineering bar. - Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come. QUALIFICATIONS - 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems. - Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity. - Deep technical expertise in at least one of the following domains: - OLTP databases - OLAP databases - Real-time compute and stream processing - Blob/object storage - Distributed caching - Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation. - Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains. - Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact. - Experience hiring, developing, and leading engineering managers and senior technical talent. - Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy. - Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency. The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary 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/.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression. What you'll do Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution. Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers. Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner. Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting. Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results. Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings. Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements. Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change. What you'll bring Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software. Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context. Experience with Salesforce and partner-management systems or portals. Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations. Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others. Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation. Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems. Preferred experience includes Impartner or similar tools, SQL, or Snowflake. About the team The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement. 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 $86,400 — $146,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time. We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the Pacific and Mountain time zones. You Will Own customer tickets end to end, with clear written root-cause explanations and next steps Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix Build scripts and tooling, to make diagnosis and configuration faster and safer Work with technical and business stakeholders to understand requirements and recommend sustainable solutions Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum Keep learning about new web technologies and contribute to process and tooling improvements You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation 2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs) Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash) Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar) A methodical, hypothesis-driven approach to complex problems Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences The ability to drive outcomes despite complexity, ambiguity or shifting priorities Preferred but not required Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful) Hands-on experience with Nginx or similar proxy and web server configuration Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps) Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages Software development experience You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

Location: United States Workplace: Remote Coder's Revenue Enablement team is building out onboarding and ramp for every customer-facing function — SDR, AE, SE, CSM, and FDE. We're looking for a Sales Onboarding Program Manager who can own that curriculum end to end: designing, running, and continuously improving how new hires ramp from day one to full productivity. This isn't a single-audience onboarding role. You'll build ramp programs that flex across distinct functions with different skill requirements — commercial, technical, and delivery — while keeping a consistent bar for what "ready" looks like across all of them. You'll work closely with our technical enablement and sales performance functions to make sure ramp content stays current with product, methodology, and process as the company scales. WHAT YOU'LL DO - Design and own the onboarding curriculum and certification framework for new hires across AE, SE, CSM, and FDE roles - Build structured ramp timelines (30/60/90-day plans) with clear milestones, checkpoints, and certification gates for each function - Partner with technical enablement, sales performance, and functional leaders to keep ramp content aligned with current product, methodology (e.g., MEDDPIC, deal qualification frameworks), and sales/delivery process - Track and report on ramp metrics — time-to-productivity, certification completion, early performance indicators — and use that data to iterate on the program - Coordinate logistics and scheduling for cohort-based onboarding (live sessions, shadowing, certification exercises) - Build and maintain a scalable content/documentation system so onboarding materials stay current as the team grows and product evolves - Gather feedback from new hires and their managers to continuously refine the program - Serve as the primary point of contact for new hires during their ramp period WHAT WE’RE LOOKING FOR - 4+ years in program management, enablement, or L&D, ideally in a B2B SaaS or technical sales environment - Demonstrated ability to build structured, repeatable programs from scratch — not just run existing ones - Strong project management instincts: you default to milestones, checklists, and metrics rather than ad hoc coordination - Comfort designing curriculum for both commercial and technical audiences, or a fast learner's willingness to get conversant in technical sales motions - Excellent written communication — you'll be creating a lot of the source material new hires learn from - Experience partnering cross-functionally with sales, product, and marketing ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role.  We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.   Responsibilities - Lead the design and development of real-time signal processing and edge inference for consumer products - Own the full development lifecycle, from prototyping and validation through productization and continuous improvement - Evaluate commercial solutions, develop prototypes and demos, and inform build/buy decisions - Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members - Mentor junior engineers and contribute to a high-performance, research-to-production culture Qualifications - B.S. in Electrical Engineering or related field, M.S. or PhD preferred - 5+ years of experience developing and deploying real-time sensor signal processing algorithms (physiological, audio, motion, or related modalities) - Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods) - Demonstrated experience integrating signal-processing components into end-to-end embedded systems - Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets - Experience integrating third-party libraries, frameworks, or algorithm IP - Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms - Excellent communication skills, including the ability to present technical results to a diverse audience - Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products Additional Desired Experience - Experience deploying signal processing algorithms to battery-powered consumer product platforms - Familiarity with adaptive signal processing, multi-sensor processing, signal enhancement, detection, or classification techniques - Experience developing and evaluating hybrid DSP/ML systems - Familiarity with embedded firmware, RTOS environments, and real-time processing pipelines - Experience using optimized MCU/DSP libraries and acceleration frameworks (e.g., CMSIS-DSP, CMSIS-NN, or vendor-specific libraries) - Experience with fixed-point implementation, quantization, or other numerical optimization techniques for embedded signal processing

Location: New York; United States; United Kingdom; London ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As the PE & Growth Investor Partnerships at ElevenLabs, you will build and scale one of our most strategic growth channels. You will own relationships with leading PE & Growth Investor firms, embed ElevenLabs into their Enterprise Value Creation programs, and drive AI adoption across portfolio companies. Operating at the intersection of PE, Growth Investors, enterprise AI, & GTM, you will partner with Operating Partners, Value Creation teams, portfolio executives, and our Sales organization to source, accelerate, and close opportunities. You’ll work closely with the Global Head of BD & Partnerships & all regional GTM leads to define the strategy while owning execution across multiple PE & Growth Investor relationships. Your success will be measured by your ability to build a scalable investor partner ecosystem that consistently generates enterprise pipeline and ARR. WHAT SUCCESS LOOKS LIKE In your first 6 - 9 months, you will: - Launch the ElevenLabs Private Equity & Growth Investor Partner Program. - Recruit and activate 8–10 leading PE and growth investor partners, securing ElevenLabs’ inclusion in their Value Creation and portfolio engagement programs. - Build a repeatable GTM engagement model between investor operating teams and ElevenLabs to accelerate portfolio company adoption, pipeline generation, and deal velocity. - Establish a foundation for a scalable, partner-sourced ARR business. RESPONSIBILITIES PRIVATE EQUITY & GROWTH INVESTOR PARTNERSHIPS - Build and manage executive relationships with Operating Partners, Value Creation leaders, and investment professionals across leading PE & Growth investor firms. - Structure and negotiate partnership agreements, joint GTM plans, referral models, and enterprise value programs. - Become the trusted AI partner for PE firms looking to accelerate value creation across their portfolio. PORTFOLIO COMPANY ACTIVATION - Identify high-priority portfolio companies and develop joint account plans with PE operating teams. - Coordinate with Enterprise AEs, FDEs, Customer Success, and Product to drive AI deployments from initial introduction through production. - Help portfolio companies identify high-value AI use cases and accelerate adoption. PIPELINE & REVENUE - Own pipeline generation and ARR sourced through PE partnerships. - Build and maintain a rolling portfolio company pipeline across assigned sponsors. - Drive executive introductions, accelerate deal velocity, and expand successful deployments across additional portfolio companies. CROSS-FUNCTIONAL LEADERSHIP - Partner closely with Sales, Solutions Engineering, Product, Marketing, Legal, and Customer Success to execute PE opportunities. - Develop repeatable GTM playbooks, executive engagement models, and portfolio-wide AI adoption frameworks. - Represent ElevenLabs at PE conferences, operating partner forums, and executive events. YOU MAY BE A GOOD FIT IF YOU - Have 8–12+ years of experience in Enterprise AI, Cloud, or enterprise software, with a focus on strategic partnerships involving Private Equity and Growth Investors. - Have experience working with PE firms, Growth Investors, Operating Partners, Value Creation teams, or PE-backed portfolio companies. - Have a track record of building strategic partnerships that generate measurable pipeline and revenue. - Have strong executive presence and can engage credibly with Managing Partners, Operating Partners, CEOs, CIOs, CTOs, and investment professionals. - Have successfully navigated complex enterprise sales cycles involving multiple internal and external stakeholders. - Are comfortable discussing AI platforms and enterprise technology with both business and technical audiences. - Thrive in fast-paced, ambiguous environments and enjoy building new partnership motions from the ground up. - Are highly commercial, operate with urgency, and consistently create opportunities where none previously existed. LOCATION This role is remote-first but NYC or London is preferred. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! You will be the first engineering manager for Growth Platform, and you’ll help shape its vision, starting with the Communications capability. Today, running a growth experiment requires engineering work, code rollouts, and manual coordination. We are creating a new Growth Platform team with two core missions: enable 10x more experiments at quality, and own the shared notification platform that powers all notifications and transactional emails across Figma. Together, these capabilities help teams experiment faster and deliver reliable, personalized communications to users across every Figma product. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Build and lead the team: Hire the initial engineers for the Growth Platform’s first team. Set the team’s culture, operating rhythm, and engineering standards. Mentor engineers, create career growth opportunities, and help scale the organization as scope expands Build capabilities that unlock new experiments: This isn’t about building an experimentation platform—it’s about building the product capabilities (personalized messaging, self-service publishing, cross-system integrations) that make it dramatically easier for teams across Figma to run growth experiments without engineering bottlenecks Leverage AI to scale quality and speed: Explore and integrate AI-driven approaches—for brand consistency checks, visual quality validation, copy generation, and experiment governance—that allow experiment volume to grow without proportional growth in manual review Provide hands-on technical leadership: Guide architecture decisions, review system designs, and make build-vs-integrate choices Partner across the company: collaborate with Marketing to align on cross-channel messaging, partner with growth teams to identify platform capability needs, and work with product teams to ensure growth messaging improves rather than detracts from the end-user experience Shape the platform vision: Define what to build next based on adoption, impact, and what you learn from each phase. The roadmap will evolve as we learn—you’ll be central to how it evolves We'd love to hear from you if you have: 3+ years in engineering management, with a strong track record of building and shipping application platforms 7+ years of software engineering experience at the application or product tier Experience driving outsized impact from small changes—say, a UI layout change that lifted growth 20%—and energized by enabling such wins at 10x scale Demonstrate strategic insight to optimize impact for both longer and short term. Ability to operate effectively in ambiguous environments, delivering continuous value while building toward a longer-term platform vision Track record of prioritizing by impact, leveraging existing assets to accelerate, and scaling through platform-level thinking Experience working cross-functionally with marketing, product, design, and data While it’s not required, it’s an added plus if you also have: Experience at a product-led growth company during a period of multi-product expansion Experience building platforms that enable non-engineering teams (marketing, design, content) to run experiments or publish content independently Background in personalization systems, recommendation engines, or ML-driven content selection Experience integrating with customer data platforms, marketing automation systems, or building user attribute services from product usage data Familiarity with using AI for quality assurance, brand consistency, or content governance at scale Experience with internationalization (i18n) and localization (l10n) infrastructure At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco; New York City Workplace: Hybrid We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. WHAT YOU'LL OWN - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. WHAT YOU BRING - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.

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. The Opportunity: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In the US, the base compensation range for this role is $162,275 - $194,730. 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 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. The Opportunity: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. 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. The Opportunity: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533. 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. The Opportunity: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. 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. The Opportunity: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 104,000 - EUR 124,800. 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 .