Note: The job is a remote job and is open to candidates in USA. Descript is a company focused on revolutionizing video editing through AI. They are seeking a Product Manager to lead the AI Research and Enablement roadmap, ensuring best-in-class AI capabilities while collaborating with various teams to ship AI-powered features that enhance user experience.
Responsibilities
- Make build vs. buy decisions: Evaluate when to train our own models vs. integrate third-party solutions based on market gaps, competitive advantage, and ROI
- Balance research investment: Allocate team resources between long-term research bets, feature work, and maintenance
- Guide research direction: Use product insight to inform what the team trains and develops; use research understanding to guide product direction
- Own the evals strategy: Design evaluation frameworks that are productionized and tied to real user needs, not just academic metrics
- Drive quality standards: Establish quality bars for 1P and 3P models before they ship to users
- Build feedback loops: Instrument data pipelines to continuously learn from user behavior and improve model performance
- Partner with product teams: Advise on which models or architectures are best suited for specific features over time
- Enable fast iteration: Build infrastructure and processes that let product teams experiment with AI capabilities quickly
- Manage dependencies: Coordinate research timelines with product roadmaps and feature launches
- Optimize COGS: Make strategic decisions on model selection, caching strategies, and infrastructure to balance quality, latency, and cost
- Scale research infrastructure: Ensure the team has the DevEx, training infra, and tooling to move fast
Skills
- 4+ years of product management experience, with at least 1-2 years working on AI/ML products
- Track record of making sound build vs. buy decisions in the AI space
- Experience balancing research exploration with shipping product value
- Ability to translate technical capabilities into user-facing product features
- Understanding of modern ML/AI systems and LLMs (you don't need to write the code, but you need to understand the tradeoffs)
- Experience shipping AI/ML products to production at scale
- Experience with evals frameworks, model training pipelines, and inference infrastructure
- Understanding of ML cost structures (training compute, inference costs, token economics)
- Experience working with research teams and helping them focus on high-impact work
- Track record of partnering with engineering teams on infrastructure and platform work
- Comfortable operating in ambiguity and setting direction when the path isn't clear
- Can articulate a multi-year vision while executing on near-term priorities
- Understands when to make strategic long-term bets vs. tactical short-term wins
- Evaluates competitive landscape and market trends to inform research direction
- Uses data (evals, user feedback, cost metrics) to shape proposals and drive alignment
- Designs experiments and A/B tests to validate hypotheses
- Comfortable with SQL, experimentation platforms, and analytics tools
- Writes clear decision documents with explicit tradeoffs, pros/cons, and alignment dates
- Can explain complex technical concepts to non-technical stakeholders
- Proactively shares context and builds alignment across teams
- Creates processes and frameworks to help teams move faster (not slower)
- Establishes clear DRIs, success metrics, and timelines
- Balances speed with quality and manages risk appropriately
Benefits
- A generous healthcare package
- 401k matching program
- Catered lunches
- Flexible vacation time
- A handful of opportunities throughout the year for in person collaboration
- Flexible, and you're an adult—we don't expect or mandate that you're in the office every day
Company Overview
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