Growth Engineer Intern
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.
As an intern, you'll be fully in-office 5 days a week over the summer — a great way to immerse yourself in the team and get the most out of your experience.
The Role
Right now, we have almost no data infrastructure. We do not know which acquisition channels are working, where users drop off, or which features drive retention. Your job is to build the instrumentation layer that changes that.
Reporting to the GTM Lead, this role is part software engineering, part product thinking, part analytics. You will not be handed a Jira board of tickets. You will be given business questions ('Are researchers who use Bond for literature review more likely to come back than those who use it for data queries?') and be expected to figure out what to build to answer them.
What You'll Do
Instrument product and marketing touch points from the ground up (if you enjoy event tracking, funnel analytics, and attribution, then this could be a good role for you)
Build dashboards that give the team real-time visibility into acquisition, activation, and retention metrics
Design and run growth experiments; report results in a format that informs decisions, not just describes data
Use AI tooling to automate reporting, surface anomalies, and reduce the manual work of monitoring growth metrics
Build lightweight internal tools that help the GTM team move faster. Think outreach automation, scraping pipelines, lead enrichment scripts
Work with the other members of the GTM team to ensure the data infrastructure supports their work and validates their hypotheses
Who You Are
You write code and think like a product person. You care about the business question behind the technical task
You have a strong educational background in CS, Data Science or related fields.
You are proficient in Python and/or JavaScript; you have built something with data pipelines, APIs, or analytics tooling
You are familiar with at least one analytics platform
You can work independently and make scoping decisions without over-engineering; at this stage, a working dashboard in two days beats a perfect architecture in two weeks
You are comfortable with ambiguity and can translate a vague business question into a specific technical implementation
You're already using AI coding assistants.
You're a team player with a growth mindset.
You're excited about open science and building infrastructure that advances human knowledge.
Nice to have: familiarity with MCP (Model Context Protocol), LLM APIs, or experience building tools on top of AI models.
Show Us Your Work
We want to see what you've built
GitHub repos
Side projects
What You'll Get
You'll work alongside founders and senior team members — not in a silo. Ship real work that matters. Learn building a dynamic company to support open science and agentic research. Experience startup culture with learning sessions and cross-team exposure. You'll interact with interesting academics and researchers from across many disciplines.
Details
Duration: 10–12 weeks (Summer 2026), flexible
This is a summer internship, but we're building a team — strong employees may continue into the fall or convert to a full-time role.
Location: Berkeley (on-site, in office)
Compensation: Competitive hourly rate, commensurate with experience and track
Work Authorization: Candidates must be legally authorized to work in the United States.