Product Management Intern (Summer 2026)

M

Matterworks, Inc.

Posted 3 months ago

Internship

,

Remote OK

Smart Summary

Responsibilities

The intern will support the full AI product lifecycle, including user research, market analysis, and translating customer signals into technical specifications. They will also coordinate product launches and maintain operational documentation in Notion.

Qualifications

You have exceptional organization and adaptability, with strong written and verbal communication skills. You are passionate about building great products, love talking to users, and can turn ambiguous tasks into actionable progress. Creative and productive AI use is expected, alongside a genuine interest in foundation models for biology.

Must Have Skills for ATS

AI

Product Analytics

User Research

Roadmap

Notion

Job Description

About Us

Most of the molecules driving human biology are invisible to us. Mass spectrometers already detect metabolites, lipids, and peptides, but the vast majority of those signals never get identified. A typical experiment names a small fraction of its features and discards the rest. We call this biology's dark matter. It’s signal-rich and mechanism-defining, yet almost entirely opaque.

Matterworks is building the foundation models that make that dark matter legible. Our Large Spectral Models do for biochemical biology what AlphaFold and ESM did for proteins: turning a library-bound discipline into something predictable and generative, and embedding it at every stage of R&D.

Come build the future of biological discovery with us.

Position Overview

We're hiring a Product Management Intern for summer 2026. You'll work directly with our Product leader across the full surface area of building an AI-native product: roadmap, user research, launches, marketing, and the dozens of small things that keep a fast-moving product team running.

This is a generalist role for someone who wants to learn how a modern AI product gets built from the inside. You'll see firsthand how decisions get made about product, design, and go-to-market for foundation models in biology.

The internship runs full-time over summer 2026, with the possibility to extend 3 months (6 months total).

Key Responsibilities

  • User research support: Recruit interviewees, run conversations alongside the PM, and translate observations across users into patterns the team can act on.

  • Market analysis: Track the broader space we operate in and surface what matters back to the team.

  • Product analytics: Pull and read usage data, dashboards, and session replays to surface patterns about what's working and what isn't.

  • Translating ideas to specs: Turn ideas, observations, and customer signal into clear specs that engineers can build from.

  • Launch coordination: Help ship product launches by coordinating across engineering, design, science, and marketing.

  • Content and marketing: Support blog posts, one-pagers, conference materials, and social content tied to product launches.

  • Operational backbone: Maintain roadmap, milestone trackers, and product documentation in Notion so the team can move fast.

Qualifications

  • Exceptional organization and adaptability. You can juggle many threads at once, keep track of details, and switch contexts without dropping things.

  • Strong written and verbal communication. You can write clearly, summarize a meeting, and translate fuzzy ideas into something legible.

  • Loves talking to users. You know how to run a good user interview—asking open questions, listening more than you talk, and pulling signal from what people do versus what they say.

  • Genuine passion for building great products. You study the products you admire, play with new tools, and think about what makes them work.

  • Self-direction. You can take an ambiguous task, figure out a sensible approach, and come back with progress.

  • Creative and productive AI use. We aren't just looking for operators of AI; we use AI tools constantly in our work, and we believe the meaningful contribution is what we add on top.

  • Open to students, recent graduates, or career-changers looking to break into product. We're open to any background — folks coming from biology, chemistry, CS, engineering, or design are particularly well-suited, but what we care about most is how you think and what you've built.

  • Bonus: prior internship experience, side projects, or anything that shows you've shipped something real.

Working at Matterworks

Given the cross-disciplinary and innovative nature of our work, effective collaboration and communication are critical to our progress. We operate in a flexible hybrid model that accommodates both fully remote team members and those who work full-time from our Somerville, MA office. While some positions may require regular in-person presence for hands-on work or local collaboration, many roles can be performed remotely with team members distributed across various locations.

Compensation and Benefits

Matterworks offers full-time employees a competitive base salary, stock options, and benefits (health & dental, vision, long- and short-term disability, life insurance, 401k with company match). Employees enjoy a flexible work & unlimited time away policy, commuter benefits and parking, regular team meals and outings, and company support for continued education/coursework and conference participation.

Matterworks, Inc. is an equal opportunity employer. All candidates for employment at Matterworks are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law.

M

Matterworks, Inc.

Biology has always been an empirical science. We're making it a science of prediction. Matterworks builds foundation models for biochemical omics — the next frontier in AI-powered research. Our platform, Pyxis, applies large-scale spectral modeling to mass spectrometry data, giving pharma and biotech teams the power to predict biological properties, classify disease states, and anticipate outcomes across the entire R&D lifecycle. From self-service exploration to lab services and enterprise partnerships, we work with pharma and biotech organizations to bring predictive biology to every stage of R&D.
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