---
title: 'GTM Engineer at Valency Systems Inc.'
canonical: 'https://feeny.ai/job/gtm-engineer-valency-systems-inc-berkeley-z0d9g2d5h8nz'
type: 'job'
last_seen: '2026-09-08'
---

# GTM Engineer at Valency Systems Inc.

- **Company:** Valency Systems Inc.
- **Location:** Berkeley, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/valency/4598aa34-5bbf-437c-bc96-66405cdbcd44

## Job description

## ABOUT VALENCY

Valency Systems is a small, dynamic team of engineers, scientists, and researchers building the global hub for the agentic research era.

We're based in Berkeley, California, and we're building something that matters. If you care about open science, advancing research at the speed of thought, and using AI to accelerate discovery, we'd love to talk.

Our team is hybrid. We come together in person at least 3 days a week, with the option for 2 days of remote work.

## THE ROLE

Valency Bond is an MCP-first platform — our buyers are researchers, research computing teams, and technical evaluators at national labs and enterprise R&D orgs who will not take our word for it. They want to see it work, poke at the API, and run it against their own data before they trust it.

You are the person who makes that possible. You sit between product, engineering, and go-to-market — building the demos, integrations, and technical content that turn "interesting" into "let's do a POC." You are not writing marketing copy; you are writing code, sample MCP servers, and documentation that a skeptical staff scientist would actually use.

This is a builder role at a small startup with no existing GTM engineering function. You will define what "good" looks like as much as you execute it.

## WHAT YOU'LL DO

- 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 success
- Own technical content — 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, POCs, and RFPs with national labs and enterprise research teams
- Build lightweight internal tooling to instrument and report on GTM metrics — activation, usage, pipeline funnel
- Partner with product and engineering to translate the roadmap into GTM-ready technical narratives and enablement materials
- Represent Valency in developer and research-computing communities (GitHub, Discord, technical forums) — answering questions, contributing examples, and feeding field insight back to product
- Prototype and test PLG mechanics — self-serve onboarding flows, in-product activation nudges — for Bond and Hub

## WHO YOU ARE

- You write production-quality code (Python, TypeScript, or similar) and are comfortable building demos and integrations from scratch, quickly
- You've worked at the intersection of engineering and GTM — sales engineering, developer relations, technical marketing, or as an early technical hire at a startup
- You can talk fluently with a research engineer at a national lab and with an enterprise buyer — and translate between the two
- You are comfortable with ambiguity. There is no existing playbook for this role here yet

## HELPFUL BUT NOT REQUIRED

- Familiarity with Attio
- You understand API-first, developer-facing products
- exposure to MCP (Model Context Protocol) or similar agentic/AI tooling is a strong plus
- 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

## SHOW US YOUR WORK

- Code you've written for demos, integrations, or developer tooling (GitHub links welcome)
- Technical content you've created — docs, tutorials, or sample apps that helped users reach value faster
- Examples of working directly with sales or customers on technical evaluations

## WHY JOIN US

- Meaningful challenges on a product that's growing fast and reaching real users
- A small, high-trust team where your decisions have outsized impact
- A culture that values excellence and invests seriously in the people who drive it

## Compensation, Benefits & Equity

We offer a competitive a benefits, salary and equity package including a 401(k) with matching

Work Authorization Candidates must be legally authorized to work in the United States.

## About Valency Systems Inc.

## Company Overview
- **One-liner**: Valency Systems Inc. builds a people-centered, AI-accelerated research platform that connects frontier LLMs to tens of millions of scientific papers and preprints, enabling grounded Q&A and discovery.
- **Entity Type**: Private, venture-backed (stage not disclosed)
- **Headquarters**: Berkeley, California, USA (implied by founder affiliations and job postings)
- **Founded**: Not publicly disclosed (the company announced its public launch in mid-2026 via a "Hello World" blog post)
- **Founders**: Josh Bloom (CEO, Co-founder) and Ryan Anderson (COO, Co-founder)

## Core Business
- **Primary industry**: AI-powered scientific research infrastructure, SaaS/API for research discovery
- **Target customers**: Researchers in academia, national laboratories, government agencies, and industry R&D teams; also applicable to policymakers, investors, and science journalists
- **Mission or purpose**: To create a home for people-centered, AI-accelerated research—keeping AI grounded in the real scientific record, not hallucinations

## Products & Services
- **[Valency Bond](https://valency.io)**: A model context protocol (MCP) service that gives LLMs (Claude, ChatGPT, Gemini, etc.) structured access to an embeddings-indexed corpus of tens of millions of research papers and preprints (coverage from 1965 to present, updated within hours of publication). Includes semantic search, citation graph tools, and 37+ MCP tools for targeted queries, reading list generation, and collaboration discovery.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric – Total Funding**: Not disclosed, but confirmed as "backed by venture capital"
- **Notable Investors/Partners**: Not named publicly; early users include researchers at Lawrence Berkeley National Laboratory (LBNL) and other national labs, academia, and industry
- **Growth Signals**: The company is actively hiring (multiple roles posted), has a public waitlist for Valency Bond, and has received early positive testimonials from senior scientists at LBNL. The platform indexes tens of millions of papers and grows daily.

## Competitive Advantages
- **Grounded in real research**: Valency Bond directly connects LLMs to the actual scientific record, eliminating hallucinations from outdated or fabricated citations.
- **Freshness**: Papers are indexed within hours of publication, not months or years—critical for fast-moving fields.
- **Token-efficient & fast**: Designed for low latency and high throughput, making it practical for LLM agents and interactive use.
- **Partnership with domain experts**: Built in collaboration with researchers at leading national laboratories, ensuring the tool meets real scientific workflows.

## Strategic Focus
- **Current priorities**: Expanding the Valency Bond platform, onboarding more institutional and individual users, and building out the team. The company is focused on enabling AI-accelerated discovery while keeping humans in the loop ("people-centered").
- **Direction for growth**: Likely targeting deeper integrations with LLMs, expanding coverage to more preprint servers and journals, and serving enterprise/government clients who need secure, on-premises versions.

## Why Work Here
- **Culture highlights**: A science-first, AI-forward startup co-founded by a UC Berkeley professor (astronomy/AI) and a former IBM CTO. Emphasis on human-centered design and rigorous grounding in research.
- **Remote/hybrid/office policy**: Not explicitly stated, but one job posting is for "AMER" (Americas) time zone and the company is based in Berkeley, suggesting a remote-friendly or hybrid model.
- **Notable perks or engineering culture**: Early-stage environment with direct impact on product direction; opportunity to work at the intersection of AI, scientific infrastructure, and user experience. The team is described as "wonderful and talented" and is actively growing.

## Sources
1. [valency.io](https://valency.io/)
2. [blog.valency.io/posts/hello-world/](https://blog.valency.io/posts/hello-world/)
3. [linkedin.com/posts/ryananderson_...](https://www.linkedin.com/posts/ryananderson_big-news-ive-co-founded-a-startup-called-activity-7457858498870132736-F6Ce)
4. [jobs.ashbyhq.com/valency](https://jobs.ashbyhq.com/valency)

## Other roles at Valency Systems Inc.

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- [Senior Software Engineer - Backend Systems](https://feeny.ai/job/senior-software-engineer-backend-systems-valency-systems-inc-berkeley-x270mrx6ck03) — Berkeley, CA
- [Open Application — Shape Your Role at Valency](https://feeny.ai/job/open-application-shape-your-role-at-valency-valency-systems-inc-berkeley-6b4e5hbtheja) — Berkeley, CA
- [Head of Engineering](https://feeny.ai/job/head-of-engineering-valency-systems-inc-berkeley-ma0vevetyrjb) — Berkeley, CA
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