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Fivetran

Moves business data into cloud analytics systems

Staff Product Manager - AI & Developer Experience

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeDenver, CO, USAIn-person

About the Job

Requirements

  • At least 8 years of product management experience, including a track record of owning strategy and roadmaps for developer platforms at scale.
  • Direct experience owning developer environment products, with an informed point of view on what makes development tools excellent and where modern integrated development environments fall short.
  • Hands-on experience building, shipping, or leading agentic features, including multi-step large language model workflows, tool use, context management, and evaluation; daily use of AI coding assistants and well-reasoned opinions on what works.
  • Experience leading complex cross-functional initiatives and influencing without authority, including across platform and product team boundaries.
  • A strong technical foundation, with the ability to reason about system architecture, engage deeply with engineers, and contribute to technical decisions.
  • Experience turning user research and developer feedback into prioritized, well-scoped product work.
  • Ability to communicate in writing and verbally, from concise specifications to executive-level narratives.
  • Comfort working asynchronously on a distributed, remote team.

Responsibilities

  • Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, translating it into clear priorities, sequencing, and tradeoffs.
  • Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction; set success metrics and take accountability for outcomes.
  • Make investment and product decisions using market insight, customer evidence, and technical judgment.
  • Define a best-in-class AI coding agent for the full range of dbt users, including agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences.
  • Shape principles for trust, transparency, control, and evaluation in agentic experiences so users can rely on the agent for real work.
  • Track the AI development landscape, including Copilot, Cursor, and Devin, and develop a differentiated point of view beyond feature parity.
  • Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and coordinate roadmaps.
  • Lead engineering, design, and go-to-market teams through a predictable shipping cadence and keep teams aligned on priorities and rationale.
  • Influence senior leadership and company stakeholders through strategy documents, demos, and clear framing of complex tradeoffs.
  • Mentor other product managers and raise the bar for product craft, rigor, and technical depth across the organization.
  • Build feedback loops with the dbt community and enterprise customers, particularly power users and technical practitioners.
  • Use user research and competitive analysis to ground strategy in evidence and bring an external perspective into planning.

Desired Qualifications

  • Experience building or shipping frontier AI agent products, such as agentic user experiences, evaluation frameworks, or agent orchestration.
  • Hands-on experience with dbt or similar SQL-first transformation frameworks.
  • Familiarity with language server protocol, tree-sitter, or other integrated development environment infrastructure primitives.
  • Experience with command-line interface tooling and developer workflow automation.
  • Background in open source or strong engagement with developer communities.
  • Knowledge of modern data warehouses, including Snowflake, BigQuery, Databricks, or Redshift, and the analytics engineering ecosystem.

About the Company

Fivetran

Moves business data into cloud analytics systems

Fivetran moves data from business applications and databases into cloud analytics systems so data teams can work with reliable records instead of building pipelines by hand. Its ready-made connectors handle changes in source tables and software interfaces, reducing the maintenance needed to keep information up to date. Teams also use its transformation tools to turn raw records into datasets for reporting, operations and AI applications. Fivetran charges for usage, measuring the distinct records changed each month and the data models run, with plans for different security and operational needs. Founded in 2012, Fivetran is headquartered in Oakland, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$852.7M
Headquarters
Oakland, CA
Founded
2012

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