Director, Product Management | Canada | Remote

Grafana Labs

9h•CA$257,370 - CA$308,844•Remote

About The Position

Grafana Labs is a remote-first, open-source company with a global reach. We are seeking a Director of Product Management to develop vision and strategy for a broad product domain, align multiple teams around clear priorities, and ensure product decisions support customer outcomes and business objectives. This role involves owning the roadmap, understanding customers and the market, and communicating product direction clearly. Product Managers collaborate with Engineering, Design, Developer Advocacy, and other teams to build products for a technical customer base, including shaping product positioning, supporting launches, and defining pricing models. Grafana Labs is focusing on an AI-first world, and this role will be instrumental in defining how AI impacts our products and the observability industry. The Director will manage a team of Product Managers, guiding their strategy, prioritization, and career development, while also being comfortable with technical and strategic communication to various stakeholders, including customers and senior leadership.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.