Director Product Management
Quick Summary
Go deep on Recast’s product and customers: understand how our technical users engage with our products, what their needs are, and where the friction is.
We’re hiring an experienced Product Management leader to help us build the future of marketing planning and analysis. Recast’s platform includes a flagship marketing mix model and planning suite along with a platform for designing and analyzing geographic-level incrementality experiments all delivered through a user-facing application, public API, and MCP server.
At Recast, you will report directly to the CEO and work closely with the leadership team to convert business strategy into the product roadmap. You will work closely with engineering leadership to prioritize and scope work to maximize the amount of value created for our customers.
You will oversee our team of product managers as a player-coach. Because we’re a small (but mighty!) team you will need to own parts of the product as an IC while you also manage and upskill the team.
Responsibilities
~1 min read- →Go deep on Recast’s product and customers: understand how our technical users engage with our products, what their needs are, and where the friction is.
- →Build a clear product roadmap for the next two quarters. Include a process for updating the roadmap as priorities change.
- →Co-own go to market: the work isn’t shipped until users are getting value out of the feature, so PMs are expected to work closely with marketing and GTM teams on how to successfully deliver products people are willing to pay for.
- →Set the standards for product metrics and how we measure success
- →Keep stakeholders across sales and leadership informed on what’s in flight and why
- 10+ years PM experience at B2B SaaS companies with meaningful experience in data or analytics products
- A proven track record shipping complex technical products in a fast-moving environment
- Shipping API products: you understand how technical customers consume your products and how to spec them clearly
- Productizing data-heavy statistical and machine learning models
- Working heavily with AI tools, and ideally thinking about how to utilize them to make new and better product experiences
- Translating PhD-level statistical research into executable engineering specs
- Working closely with the CEO to (not a PM, strong product perspective) to build the roadmap and prioritize initiatives
- Being part of a remote, async-first team spread across time zones where clear written communication is essential
- Having a wide scope: you’ll be a player-coach both owning execution on certain product initiatives as well as managing a team
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 28, 2026
- First seen
- August 28, 2026
- Last seen
- August 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 62%
- Scored at
- August 28, 2026
Signal breakdown
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