Geared toward mid-level product leaders comfortable with shaping AI-driven telemetry strategies in a remote, globally distributed tech environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Grafana Labs via Greenhouse
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 Germany.
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 prod