Platform Product Manager

Reposted 6 Hours Ago
2 Locations
In-Office
180K-250K Annually
Expert/Leader
Artificial Intelligence • Software
The Role
The Platform Product Manager will build and scale Distyl's internal AI platform, collaborating with engineers and customers to develop scalable AI solutions and ensure system reliability.
Summary Generated by Built In
About Distyl AI

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.

What We Are Looking For

Distyl AI is seeking a Senior Platform Product Manager based in San Francisco or New York City to lead the strategy, development, and evolution of the platform that powers our enterprise AI deployments.

In this role, you will operate at the center of Distyl’s product and technology strategy, owning how we translate real-world enterprise use cases into scalable, reusable platform capabilities. You will work across AI infrastructure, developer experience, and enterprise applications, partnering closely with platform engineers, forward-deployed teams, and customers to define what we build and why.

This is a highly strategic role for someone who thrives in high-ownership environments, is comfortable navigating ambiguity, and has a strong point of view on how modern AI platforms should be designed and scaled. You will play a key role in shaping how Distyl builds repeatable, extensible platform solutions that accelerate the delivery of production-grade AI systems.

Key Responsibilities

  • Own the vision, roadmap and prioritization for Distyl’s AI platform, with a focus on capabilities that can be reused across customer deployments

  • Partner with engineering, forward-deployed teams and customers to identify repeated needs and translate them into scalable platform features and abstractions

  • Develop a clear framework for what should be standardized in the platform versus delivered in a customer-specific way.

  • Lead the development and prioritization of core platform capabilities, including:

    • AI model orchestration

    • Agent frameworks

    • Evaluation and monitoring systems

    • Self improvement systems

    • Developer tooling and workflows

    • Enterprise data integrations

    • Human feedback collection

  • Establish clear product strategy, success metrics, and technical direction for platform investments.

  • Drive improvements in developer experience, system reliability, and deployment velocity across internal and external users.

  • Ensure the platform enables fast, secure, and production-grade AI deployments for enterprise customers.

  • Collaborate with leadership to align platform strategy with company-level growth and scaling objectives.


Who You AreRequired
  • 12+ years of experience in product management, with significant time spent in platform, infrastructure / technical product roles

  • Experience building or scaling AI/ML platforms, LLM systems, or data infrastructure

  • Strong technical fluency and ability to engage deeply with engineering on architecture, tradeoffs, and system design

  • Familiarity with modern AI tooling, model deployment workflows, and evaluation frameworks

  • Experience operating in ambiguous, fast-moving environments with a high degree of ownership

  • Ability to translate real-world customer needs into scalable product strategy

  • Excellent communication skills and ability to influence across technical and business stakeholders

What We Offer
  • The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package

  • 100% covered medical, dental, and vision for employees and dependents

  • 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)

  • Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems

  • Ownership of high‑impact projects across top enterprises

  • A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.

Top Skills

Ai Infrastructure
Ai Model Orchestration
Data Integrations
Developer Experience
Enterprise Software
Evaluation Frameworks
Internal Tooling
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The Company
HQ: San Francisco, California
45 Employees

What We Do

Distyl AI is on a mission to create the most customer-centric AI company that revolutionizes how enterprises thrive in the AI-assisted economy. We collaborate with leading institutions worldwide to enhance their AI readiness and build dependable, seamlessly integrated AI-driven solutions tailored to their distinct data, workflows, and employee requirements. Using our proprietary platform of in-house tools and alliances such as the one with OpenAI, our team diligently develops and deploys generative AI products that adhere to the highest standards of integrity and reliability, empowering the institutions that require them the most.

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