Product Manager, AI Models

Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record or generate (or both!) videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers.

We’re looking for a Product Manager to help build the future of video editing with AI. You’ll work alongside a small, flat, highly collaborative team of experienced PMs, AI researchers, engineers, designers, and marketers. This is an opportunity to get hands-on experience with cutting-edge AI technology in a product users love and grow fast in your PM craft.

We're looking for a Product Manager to lead the AI Research and Enablement roadmap at Descript. This role sits at the intersection of cutting-edge AI research, production ML infrastructure, and product strategy. You'll be responsible for ensuring our AI capabilities are best-in-class while enabling our product teams to ship AI-powered features that delight users.

Teams You'll Partner with

AI Research

The AI Research team leverages, trains, and validates powerful models for our product use cases across two core areas:

Audio/Video Research

: Models for understanding, augmenting, and generating audio/video content (transcription, lipsync, video regenerate, TTS, avatars, etc.).

LLM Research

: Evaluating and optimizing LLMs for Descript products, co-designing agent architecture, experimenting with token optimizations and fine-tuning.

AI Enablement

The AI Enablement team supports integrating 1P and 3P models into the Descript product:

Building and maintaining standardized 3P model integrations (LLM providers, generative model APIs).

Productionizing 1P models for specific use-cases.

MLOps infrastructure (evals framework, inference infra, training infra, data pipelines).

What You'll Do

Strategic Prioritization

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

Evals & Quality

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

Cross-Functional Orchestration

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

Cost & Infrastructure

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

Required Experience

Product Sense

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

Technical Foundation

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)

Cross-Functional Leadership

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

Skills & Competencies

Strategic Thinking

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

Data-Driven Decision Making

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

Communication & Documentation

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

Operational Excellence

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

What Sets Apart Great Candidates

You have strong opinions, loosely held

You can make confident recommendations based on available data, but you're open to changing your mind when new information emerges

You engage in healthy debate and welcome pushback from your braintrust

You understand research team dynamics

You know how to motivate researchers and give them space to explore while keeping them aligned to product goals

You can translate between "research interesting" and "product valuable"

You understand that research timelines are inherently uncertain and can navigate that ambiguity

You're deeply curious about AI

You stay up-to-date on the latest models, techniques, and research papers

You have a point of view on where AI is headed and what it means for creative tools

You're excited about the opportunity to build AI-native products, not just add AI features

You're comfortable with infrastructure work

You understand that great AI products require great infrastructure

You see MLOps and tooling as strategic investments, not just "plumbing"

You can get excited about improving evals frameworks or inference latency

You balance user empathy with technical constraints

You advocate for the user experience while understanding technical and cost limitations

You can make pragmatic tradeoffs between quality, cost, and speed

You think about the entire user journey, not just individual features

Why This Role Is Exciting

Impact

: Your decisions will directly shape Descript's AI strategy and competitive positioning

Scope

: You'll own both research direction and production infrastructure — a rare combination

Team

: Work with world-class researchers and engineers pushing the boundaries of AI for creativity

Timing

: Join at an inflection point as we scale from early AI features to building the world's best agentic video editor

Learning

: Constant exposure to cutting-edge AI research and the challenge of productizing it

The base salary range for this role is $171,000-235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and they may vary from the amount above.

About Descript

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (

OpenAI

,

Andreessen Horowitz

,

Redpoint Ventures

,

Spark Capital

).

Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.

Benefits Include A Generous Healthcare Package, 401k Matching Program, Catered Lunches, And Flexible Vacation Time.

Our headquarters

are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.

Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.