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Product Manager, AI Models

1 day, 21 hours ago
United States
Full-time
Mid Level
Product Manager
Product Management
LLM Machine Learning MLOps SQL
Apply Now
Descript

Descript

Descript: All-in-one video & podcast editing with AI technology for effortless content creation.

Internet Software & Services
51-250
Founded 2017
$100M raised
View All Jobs 24

Description

  • Own the AI Research and Enablement roadmap across research direction, production ML infrastructure, and product strategy.
  • Make build-versus-buy decisions for models and AI capabilities based on market gaps, competitive advantage, and ROI.
  • Prioritize team resources across long-term research bets, feature delivery, and maintenance work.
  • Design and own evaluation frameworks that are tied to real user needs and production quality standards.
  • Establish quality bars for first-party and third-party models before they ship to users.
  • Build feedback loops through data pipelines to learn from user behavior and improve model performance.
  • Partner with product, engineering, research, and design teams to select the right models and architectures for features over time.
  • Coordinate research timelines with product roadmaps and feature launches.
  • Optimize model selection, caching, and infrastructure decisions to balance quality, latency, and cost.
  • Ensure the team has the infrastructure, tooling, and developer experience needed to move quickly.

Requirements

  • 4+ years of product management experience, including 1-2 years working on AI/ML products.
  • Track record of making sound build-versus-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, including tradeoffs.
  • Experience shipping AI/ML products to production at scale.
  • Experience with evaluation frameworks, model training pipelines, and inference infrastructure.
  • Understanding of ML cost structures, including training compute, inference costs, and token economics.
  • Experience working with research teams and helping them focus on high-impact work.
  • Experience partnering with engineering teams on infrastructure and platform work.
  • Comfort operating in ambiguity and setting direction when the path is unclear.
  • Comfortable with SQL, experimentation platforms, and analytics tools.
  • Ability to write clear decision documents and explain complex technical concepts to non-technical stakeholders.
  • Curiosity about the latest models, techniques, and research papers is preferred.
  • Experience with MLOps and tooling is a plus.

Benefits

  • Base salary range of $171,000 to $235,000 per year.
  • Generous healthcare package.
  • 401(k) matching program.
  • Catered lunches.
  • Flexible vacation time.
  • Remote and hybrid work options.
  • Opportunities for in-person collaboration throughout the year for remote employees.
  • Flexible in-office expectations for hybrid roles.

Interested in this position?

Apply directly on the company website

Apply Now

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