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Valency

Trusted AI reasoning infrastructure for science

GTM Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeBerkeley, CA, USA

About the Job

Requirements

  • Write production-quality code in Python, TypeScript, or a similar language and build demos and integrations from scratch quickly.
  • Have experience at the intersection of engineering and go-to-market, such as sales engineering, developer relations, technical marketing, or as an early technical hire at a startup.
  • Communicate fluently with research engineers at national labs and enterprise buyers, translating between their perspectives.
  • Be comfortable working in an ambiguous environment without an existing playbook.

Responsibilities

  • Build and maintain technical demos, sample integrations, and proof-of-concept environments that showcase Bond's MCP-first capabilities to prospects and partners.
  • Build and develop landing pages and measure their success.
  • Own technical content, including integration guides, code samples, and tutorials, that shortens time-to-first-value for new users and evaluators.
  • Support sales and solutions engineering on technical evaluations, proofs of concept, and requests for proposals with national labs and enterprise research teams.
  • Build lightweight internal tooling to instrument and report on go-to-market metrics, including activation, usage, and pipeline funnel.
  • Partner with product and engineering to translate the roadmap into go-to-market-ready technical narratives and enablement materials.
  • Represent Valency in developer and research-computing communities, including GitHub, Discord, and technical forums, by answering questions, contributing examples, and feeding field insight back to product.
  • Prototype and test product-led growth mechanics, including self-serve onboarding flows and in-product activation nudges, for Bond and Hub.

Desired Qualifications

  • Familiarity with Attio.
  • Understanding of API-first, developer-facing products.
  • Exposure to MCP (Model Context Protocol) or similar agentic/AI tooling.
  • Familiarity with academic publishing or research infrastructure.
  • Hands-on experience building or consuming MCP servers.
  • A scientific or research background.
  • Prior startup experience in a build-it-from-scratch environment.

About the Company

Valency

Trusted AI reasoning infrastructure for science

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
Not listed
Total funding
Not listed
Headquarters
Berkeley, CA
Founded
2026

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