From Fivetranβs founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. Weβre proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
Weβre looking for a Senior Growth Product Manager to join our Growth & Monetization team. This is a data-driven, cross-functional role focused on driving sustainable, product-led growth across the Fivetran platform. You will lead high-impact, strategic initiatives that scale across multiple products and surface areas, and combine analytical and technical fluency to guide data-informed decisions.
This role is a great fit for someone who loves to use data to find and solve high-impact problems. Youβll work closely with cross-functional teams, stay focused on measurable outcomes, and continuously look for ways to drive meaningful results. We are increasingly leveraging AI-powered tools, workflows, and product capabilities across the business, and this role will play an important part in identifying opportunities to use AI to improve customer experience, accelerate experimentation, and drive growth outcomes.
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This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies Youβll Use
Product analytics tools, BI tools, SQL, A/B testing, AI-assisted product and analytics tools, experimentation platforms
What Youβll Do
Own and evolve the growth product roadmap across the Fivetran platform
Be an expert in experimentation from hypothesis development and test design to interpreting results and scaling what works
Identify opportunities to leverage AI and automation to improve user onboarding, conversion, engagement, retention, and monetization
Partner with teams on core initiatives that unblock growth across the platform
Gather and use data to uncover friction points and propose high-impact experiments or product changes
Use AI-powered tools and workflows to accelerate product discovery, experimentation velocity, and decision-making
Deep-dive in Fivetran products regularly to build user empathy and find opportunities to optimize
Understand B2B SaaS marketing and sales motions to drive cross-functional success
Partner closely with design, engineering, analytics, marketing, customer-facing teams, and other PMs to launch enhancements and experiments
Collaborate with engineering and data teams to evaluate and implement AI-driven product experiences where appropriate
Stay current on AI trends, emerging technologies, and best practices relevant to product-led growth and SaaS monetization
Present your work and align priorities with stakeholders across the company, including senior leadership and executives
Communicate outcomes clearly, sharing both wins and learnings to guide future strategy
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Skills Weβre Looking For
4+ years of growth product management or equivalent data-driven growth role, ideally on a technical product in B2B SaaS
Hands-on analytical skillset with the ability to independently dig into data and use product analytics tools (e.g. Amplitude, Heap, Hex, Sigma, SQL)
Expertise in A/B testing and experimentation best practices
Proven success working across multiple products or surface areas, identifying opportunities that holistically connect the customer experience
Comfortable collaborating closely and asynchronously with engineers, designers, data scientists, and go-to-market teams to create impact
Willingness to go deep in technical products and build empathy for technical users
Excellent cross-functional communication, ability to align with stakeholders at all levels and guide decision-making
Proven ability to manage multiple projects, prioritize effectively, and demonstrate material business impact
Curiosity and adaptability in learning emerging AI capabilities and applying them thoughtfully within a product growth context