Product Policy Lead

Posted Yesterday
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3 Locations
In-Office
Expert/Leader
Software
The Role
The Product Policy Lead will define product governance frameworks, translate AI regulatory expectations into product standards, and advance Reflection's narrative on responsible AI systems, ensuring integration across product launches.
Summary Generated by Built In
Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

Role Overview

Reflection is building the leading American open-weight AI models; systems that will shape not only how products are built, but how AI governance evolves globally. As open-weight models move into enterprise and national-interest contexts, the next 6–12 months will be decisive: regulators are forming views, enterprises are setting procurement standards, and competitors are defining the narrative.

We’re hiring a Product Policy Lead to sit at the intersection of research, product, and policy: owning the governance frameworks, technical policy artifacts, and public-facing narratives that enable Reflection to ship safely, earn trust, and scale adoption without regulatory holdout.

This role is not traditional policy or trust & safety. It is a product-embedded policy leadership role: translating emerging AI governance expectations into concrete product requirements, release standards, and technical communications (including blogs and specs) that travel across regulators, enterprises, researchers, and developers.

What You’ll Do

Own Product-Embedded Governance

  • Define and maintain Reflection’s product governance framework for open-weight models, including model specs, transparency standards, release criteria, and usage guidance.

  • Translate evolving regulatory, safety, and enterprise trust expectations into actionable product requirements aligned to Reflection’s roadmap.

  • Establish launch-readiness standards that balance capability, safety, and adoption velocity.

Build the Technical Policy Narrative Engine

  • Design and own a technical blog and publication framework that converts research outputs, evaluations, and safety work into clear, credible, and reusable policy-relevant artifacts.

  • Partner closely with Research staff to shape papers, evaluations, and findings into blog posts and technical notes used across:

    • Policymaker and regulatory engagement

    • Enterprise trust and procurement conversations

    • Standards bodies and research communities

    • Public narrative and media moments for Comms team to leverage

  • Ensure consistency between what we build, what we publish, and what we advocate externally.

Advance External Alignment & Influence

  • Shape and advance Reflection’s narrative on responsible open-weight systems across standards bodies, think tanks, policymakers, and the open-source ecosystem.

  • Work with Government Affairs to influence favorable regulatory pathways and preempt compliance risk.

  • Contribute to RFIs, consultations, coalition efforts, and standards discussions with technically grounded positions.

Cross Functional Product Leadership

  • Partner tightly with Product, Engineering, Research, Legal/GC, Government Affairs, and Comms to ensure governance and narrative are integrated into launches; not layered on after.

  • Leverage evaluation results, red-teaming, and new research to continuously refine governance criteria and proactively shape external expectations.

  • Anticipate emerging capabilities and risks, and design policy and product responses before they become regulatory constraints.

What We’re Looking For

  • Deep experience at the intersection of product, policy, AI governance, with a track record of converting regulatory and safety expectations into product standards, specs and launch criteria.

  • Strong understanding of U.S. and global AI governance frameworks (e.g., NIST, CAISI, EU AI Act) and how they map to real product decisions.

  • Demonstrated ability to work directly with researchers and engineers to translate technical work into clear, credible external artifacts.

  • Experience engaging policymakers, standards bodies, think tanks, open-source communities, and enterprise stakeholders.

  • Proven impact shaping regulatory outcomes (RFIs, consultations, legislative engagement, coalition-building), directly or in partnership with lobbyists.

  • Exceptional written and narrative skill: able to produce technical blogs, policy-relevant documentation, and enterprise-grade trust materials.

  • Comfort operating in ambiguity, setting structure where none exists, and building governance systems from first principles.

  • 10+ years across AI governance, product strategy, trust & safety, standards development, policy, or adjacent technical fields.

What We Offer:

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.

  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.

  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.

  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.

  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Top Skills

Ai Governance Frameworks
Product Management Tools
Technical Publication Frameworks
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The Company
HQ: Brooklyn, New York
38 Employees

What We Do

Reflection was founded by former DeepMind and OpenAI researchers to build superintelligent coding agents. We previously built the most powerful LLM (ChatGPT, Gemini) and agent (AlphaGo, AlphaZero) systems in the world.

Reflection’s mission is to build superhuman coding agents. Today’s language models are powerful, but they fall short when it comes to tasks that require acting over many steps. The reason is simple. These models were never trained for autonomy. Our goal is to create the most capable and reliable coding agents in the world. Our product is a Coding Agent API that helps automate rote engineering work.

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