Director, Product Management - Data Collection, Transformation, and Ingest | Ireland | Remote

Grafana Labs

Republic of Ireland (Remote)RemoteEUR 168,000 - 201,600

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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. Director, Product Management This is a remote position. We are looking for candidates in Ireland. The Opportunity: As a Director on the Grafana Labs Product Management team, you’ll develop vision and strategy for a broad product domain, align multiple teams around clear priorities, and ensure product decisions support customer outcomes and Grafana Labs’ business objectives. You’ll own the roadmap, deeply understand customers and the market, and communicate product direction, tradeoffs, and outcomes clearly to customers, senior leadership, and cross-functional partners. Product Managers work closely with Engineering, Design, Technical Writing, Developer Advocacy, Analytics, Product Marketing, and GTM to build and ship products that meet the needs of our very technical customer base. This includes shaping the product story and positioning, supporting launch and field enablement, and helping define pricing and packaging models that reflect the value customers receive while enabling Grafana Labs to capture that value in a way customers can understand and accept. Grafana Labs is building for an AI-first world, and Product Management is accountable for helping define what that means for our products, customers, and the observability industry at-large. We expect PM leaders to actively build fluency with AI tools and workflows, identify where AI can create meaningful customer value, and think strategically about how our products should evolve as users increasingly work with and through AI systems. What You’ll Be Doing: As the Director of Product for Data Collection, Transformation, and Ingestion, you will lead the product strategy for the systems and experiences that help customers generate, collect, transform, and ingest telemetry data into Grafana Cloud, then make that data available for fast, reliable, cost-effective querying. This product domain spans the full telemetry journey: from telemetry generation and instrumentation, through collection, transformation, ingestion, and querying. This includes OpenTelemetry SDKs and instrumentation libraries, Grafana Beyla, the OpenTelemetry Collector, and Grafana Alloy. It also includes Adaptive Telemetry, a Grafana Cloud capability that helps customers control telemetry volume and cost while preserving the data that matters, and Grafana Labs’ world-class telemetry databases - Mimir, Loki, Tempo, and Pyroscope - all of which support massively high-scale ingestion and querying. This role will shape one of the most foundational parts of Grafana Cloud: how customers send us data, how we help make that data usable, and how we turn this foundation into a differentiated product experience. You will guide strategy across multiple engineering teams and product areas, helping Grafana Labs build a cohesive, opinionated, and scalable data path for metrics, logs, traces, profiles, and other telemetry signals. You will ensure this data path supports Grafana Labs’ full-stack observability strategy, including our opinionated, integrated solutions such as Frontend Observability, Application Observability, and Kubernetes Observability, while also serving customers who use Grafana Cloud’s hosted metrics, logs, traces, and profiles offerings to create observability experiences tailored to their own business and technical needs. You will also help define how this domain evolves in an AI-first world. That means thinking beyond how humans configure collectors, pipelines, transformations, and ingestion workflows today, and considering how AI can help customers generate better instrumentation, optimize telemetry volume and quality, troubleshoot collection issues, query more efficiently, and interact with Grafana Cloud through both user-facing and agent-facing experiences. You will manage a team of Product Managers and be accountable for helping them set clear strategy, make strong prioritization decisions, work effectively with their cross-functional partners, and grow in their careers. You should be equally comfortable coaching a PM through a tricky tradeoff, aligning with Engineering Directors on a multi-quarter roadmap, presenting strategy to senior leadership, and explaining Grafana Labs’ approach to telemetry collection, transformation, and ingestion to customers. As Director of Product Management at Grafana Labs, you will: Develop and own the product vision and strategy for Data Collection, Transformation, and Ingestion as a core platform capability for Grafana Cloud Partner closely with senior R&D leaders to align product and technical strategy across teams, make clear tradeoffs, and ensure the roadmap balances customer value, platform leverage, operational excellence, and business impact Use customer research, product analytics, competitive insight, and business context to identify the highest-impact problems to solve Define how AI should influence this domain, including how it can help customers instrument applications, configure collection, transform telemetry, control cost, improve data quality, query more efficiently, and troubleshoot ingestion issues more intelligently Build strong relationships with customers and prospects, especially technical buyers and observability practitioners Help GTM teams understand product differentiation, customer value, roadmap direction, AI relevance, and market positioning Coach and develop Product Managers, helping them strengthen their product judgment, strategic thinking, communication, stakeholder management, and ability to drive high-quality outcomes with their cross-functional teams Create a high-accountability, high-trust environment where PMs and cross-functional teams understand what matters, why it matters, and how their work contributes to Grafana Labs’ success What Makes You a Great Fit: Significant Product Management experience, including leading product strategy across multiple teams, product areas, or complex technical workflows Experience directly managing Product Managers, including coaching, feedback, performance management, hiring, and career development Strong technical fluency in infrastructure, cloud platforms, observability, telemetry, data pipelines, high scale databases, or other developer/infrastructure product domains Strong product instincts around AI, including the ability to identify where AI can create meaningful customer value in technical products used by developers, operators, SREs, platform teams, or infrastructure teams Strong customer empathy and strategic judgment, with the ability to translate complex customer problems into clear product strategy, roadmap priorities, and tradeoffs Strong cross-functional leadership and communication skills, with experience influencing Engineering, Design, Technical Writing, Developer Advocacy, Analytics, Product Marketing, GTM, and executive stakeholders The ability to create clarity in ambiguity, help teams make progress without over-prescribing solutions, and operate effectively in a globally distributed, remote-first environment A BS/BA in Computer Science, a related field, or equivalent practical experience Bonus Points For: Experience with OpenTelemetry, Prometheus, Grafana Alloy, Grafana Mimir, Grafana Loki, Grafana Tempo, and/or Grafana Pyroscope Experience with ETL, telemetry pipelines, large-scale data processing, or data transformation workflows, including sampling, filtering, enrichment, routing, or cost/performance optimization Experience with high-scale databases, distributed systems, or big data platforms Experience building AI-enabled product experiences for technical users, including developers, SREs, platform engineers, or infrastructure teams Experience with agent-facing product design, AI-assisted workflows, or how products should evolve when users increasingly delegate tasks to AI systems Experience working at an open source or commercial open source company Experience partnering with GTM teams on positioning, packaging, pricing, launch strategy, or field enablement for technical products Experience leading product strategy for platform capabilities that serve multiple product lines or customer segments In Ireland, the base compensation range for this role is EUR 168,000 - 201,600 . 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: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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 .

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