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Valency

Trusted AI reasoning infrastructure for science

Technical Product Manager

Full-TimeUpdated on 10/23/2026
No salary listed
Mid, Senior, Expert
Berkeley, CA, USA
Hybrid
ProductTechnical Product Management

About the job

Requirements
  • Fluency in AI, including understanding how modern large language model systems are built and where they break, including grounding, retrieval, hallucination, and evaluation, well enough to make roadmap decisions.
  • A genuine interest in science and data, including understanding how research is produced, cited, and trusted.
  • Four or more years in product management, with direct experience shipping technical, infrastructure, or developer-facing products.
  • Comfort operating at the protocol and application programming interface level, including MCP, REST, and data pipelines, and translating that into roadmap and customer value.
  • Strong technical fluency to read and debate architecture with engineers without writing the code.
  • Excellent written communication for specifications, product requirements documents, and customer-facing narratives.
  • Comfort operating amid ambiguity and startup pace without an existing playbook.
Responsibilities
  • Own the end-to-end roadmap across Bond and new products in development, balancing enterprise and national-lab requirements against open-platform, product-led growth models.
  • Translate technical architecture, including MCP-based grounding, corpus ingestion, and relevance scoring, into clear specifications in direct partnership with engineering.
  • Work with go-to-market on segmentation and ideal customer profile, converting prospect and customer conversations with national labs, biotech, and enterprise research teams into prioritized requirements.
  • Resolve open product risks, including quality-control and trust safeguards for open-access products still in development.
  • Represent product in design-partner and customer conversations and turn feedback into roadmap decisions.
  • Help establish the product function, including process and documentation now and a team over time, as one of Valency's first product management hires.
Desired Qualifications
  • Experience supporting enterprise or public-sector buyers, including national labs, government, or other regulated environments.
  • Familiarity with academic publishing or scholarly infrastructure, including arXiv, PubMed, citation graphs, and peer review.
  • Experience with large-language-model-based products, retrieval-augmented generation, or AI evaluation systems.
  • A background in scientific research or academia, or experience building products for researchers as end users.
  • Experience with two-sided platform dynamics, including marketplace growth and user-generated-content quality control.

About the company

Valency provides a trusted research infrastructure that grounds AI reasoning in real scientific literature, addressing hallucinations from large language models. Its Valency Bond connects with LLMs and next-generation tools to create a grounded reasoning workflow for researchers. Unlike general AI platforms, Valency focuses on integrating credible, up-to-date research content to accelerate discovery for the 35 million researchers worldwide. The product works by linking LLMs with a framework and tools that rely on real research data, enabling researchers to enhance reasoning, verify results, and streamline scientific workflows. The company differentiates itself by offering a grounded, research-backed ecosystem and infrastructure designed specifically to support scientific inquiry, aiming to speed up discoveries and improve trust in AI-assisted research.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2026

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Simplify's Take

What believers are saying

  • July 22, 2026 Genesis Mission selection gives Valency federal validation and budgeted demand.
  • August 2026 job postings for product, growth, and research roles signal active scaling.
  • Valency's public corpus reaches 450+ million documents, a moat for scientific search.

What critics are saying

  • Genesis is the first real-world use; commercial revenue remains unproven.
  • Javelin's August 1, 2026 posting says Valency has almost no data infrastructure.
  • If scientists ignore provenance-heavy tools, Valency's entire agentic-science thesis collapses.

What makes Valency unique

  • Valency Bond indexed 450+ million papers and preprints, with citations traceable within hours.
  • Its MCP-native infrastructure powers audited AI agents for DOE-backed HERALD research.
  • CEO Josh Bloom and COO Ryan Anderson pair Berkeley science with enterprise execution.

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Benefits

  • Hybrid Work Options
  • Remote Work Options
  • Company Equity
  • 401(k) Company Match

Growth & Insights and Company News

6 month growth

20%

1 year growth

20%

2 year growth

20%
PR Newswire
Jul 22nd, 2026
Valency selected for DOE Genesis Mission to accelerate nuclear power research with AI agents

Valency has been selected for the US Department of Energy's Genesis Mission to accelerate nuclear power research using AI agents. The company will partner with Lawrence Berkeley National Laboratory on the HERALD project, led by scientists Daniela Ushizima and Peter Nugent. HERALD aims to deploy AI agents to review vast archives of nuclear power research, allowing human security experts to focus on critical judgment calls. Valency will provide the AI agent infrastructure to support hundreds of millions of scientific documents whilst maintaining auditable chains of custody required for DOE compliance. The system uses the Model Context Protocol natively, enabling AI agents to work across the archive whilst keeping human experts in control of final decisions. Valency specialises in foundational infrastructure for AI-accelerated science.