---
title: 'Partnerships Manager at CuspAI'
canonical: 'https://feeny.ai/job/partnerships-manager-cuspai-united-states-fyny9mmq3zcg'
type: 'job'
last_seen: '2026-10-16'
---

# Partnerships Manager at CuspAI

- **Company:** CuspAI
- **Location:** United States
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/cuspai/c55d8bfe-5591-408a-b485-2bf4e1a3eac7

## Job description

## About CuspAI

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.

We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.

We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.

We’re on the cusp of the on-demand materials era. Join us. The Opportunity: The United States is home to many of the world's largest materials, chemicals, semiconductor and energy R&D organizations. As a Partnerships Manager, you'll be one of the first people to bring CuspAI to these teams.

- Early stage, big market. Materials are a trillion-dollar problem, and most R&D organizations are only starting to use AI.
- You shape it from day one. You'll help decide who we work with, how we go to market and which partnerships make it grow.

## What You Will Do

Build the pipeline

- Identify and reach R&D, materials and chemicals teams at US industrial companies that can benefit from direct access to our AI and data.
- Own your pipeline end to end, from the first conversation to a signed agreement.
- Use your network and market knowledge to open doors in key innovation hubs such as the Bay Area, Boston, Texas and the Research Triangle.

Close and grow partnerships

- Understand each team's materials challenges and turn them into clear, compelling proposals together with our scientists and Technical Program Managers.
- Negotiate commercial terms and bring agreements to signature.
- Turn first engagements into lasting relationships, and spot where a partner can do more with us.

Shape how we go to market

- Help decide which customer types and sectors to focus on first, based on what converts fastest.
- Bring what you hear in the market back to our product, research and leadership teams.
- Help build the processes, materials and playbook that the wider team will use as we grow.
- Represent CuspAI at industry events and conferences.

## What We're Looking For

Someone who has sold to or partnered with R&D, chemicals or materials organizations, and who enjoys building something new more than running a process that already works.

- 8+ years in partnerships, business development or sales roles selling to industrial R&D, materials, chemicals or semiconductor organizations.
- Experience bringing digital R&D tools to scientific teams, for example materials informatics, lab data platforms (ELN, LIMS) or simulation software.
- A track record of sourcing and closing B2B deals with multiple stakeholders and long sales cycles.
- A network among R&D and business leaders at US industrial companies.
- The ability to explain AI and computational concepts clearly to scientists and business leaders alike.
- Comfort with ambiguity, and the drive to build structure from scratch in a fast-growing startup.
- Willingness to travel regularly within the US and to Europe.

Bonus Points (But Not Critical)

- An advanced degree in chemistry, materials science, physics, chemical engineering or a related field.
- Experience at a company working in materials informatics, scientific software or AI for R&D.
- Experience building a market or commercial function from the ground up.

Location This role is based in the United States, ideally near a major materials, chemicals or semiconductor hub. Expect regular travel to customer sites and probably to our offices in the UK and Europe.

## What We Offer

- A competitive salary: We value and reward impact and growth
- Equity in CuspAI: You have a stake in the success of the company
- Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
- Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
- Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
- True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other

Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.

CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.

We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.

Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.

## About CuspAI

## Company Overview
- **One-liner**: CuspAI develops an AI-driven platform to discover and optimize advanced materials for industrial and scientific applications, aiming to compress billion-year natural processes into months.
- **Entity Type**: Private (Series A / multiple venture rounds)
- **Headquarters**: Cambridge, United Kingdom (20 Station Road, Cambridge, CB1 2JD)
- **Founded**: 2024
- **Founders**: Dr Chad Edwards (CEO) and Prof. Max Welling (CTO)

## Core Business
- Primary industries: Advanced materials, artificial intelligence, chemistry, engineering
- Target customers: B2B – Enterprise R&D teams in semiconductors, automotive, energy, chemicals, and high-tech manufacturing (e.g. ASML, Meta, Hyundai, Kemira)
- Mission: “Unlock trillion‑dollar materials breakthroughs in months, not millennia” by using AI to create an on‑demand materials era.

## Products & Services
- **Molecular search engine / AI materials discovery platform**: An AI model that screens and generates novel molecules with desired properties (conductivity, strength, heat resistance) and validates them through simulation. The platform is 10× faster than conventional methods. Integrated with Widom insertion simulations (open‑source package `widom`).

## Market Standing
- **Valuation**: ~$2.6 billion (according to Financial Times reports in June 2026, citing a new $400 million funding round backed by Jeff Bezos)
- **Key Metric (Total Funding)**: Conflicting reports – LinkedIn shows $330 million to date (Seed $30M, Series A $100M, Venture Round $200M); CB Insights lists $130 million raised (excluding the latest $200M+ round). The most recent round (June 2026) is reportedly $400 million at a $2.6 billion valuation.
- **Notable Investors/Partners**: Temasek, Hoxton Ventures, Lightspeed Venture Partners, Giant Ventures, Northzone, NEA, Kleiner Perkins, Bezos Expeditions, Nvidia, Samsung, Hyundai. Advisors include Nobel laureate Geoffrey Hinton and Yann LeCun.
- **Growth Signals**: Headcount of 52 employees (+123.3% YoY, +11.7% monthly growth); 7 active job postings (+600% YoY); offices in Cambridge, Amsterdam, and Singapore; clients like ASML, Meta, Hyundai, and Kemira.

## Competitive Advantages
- **World‑class founding team** – Most cited AI, chemistry, and engineering researchers globally.
- **AI‑native approach** – Proprietary molecular search engine that is 10× faster than conventional materials discovery.
- **Advisory board** – Nobel Prize winners (Geoffrey Hinton) and top AI pioneers (Yann LeCun, Kristin Persson).
- **Talent pipeline** – Many hires from Google DeepMind, Isomorphic Labs, Microsoft, and Imperial College London.
- **Strategic partnerships** – Deep ties with chipmakers (Nvidia, ASML), automotive (Hyundai), and chemical firms (Kemira).

## Strategic Focus
- Scaling the platform to serve more enterprise R&D departments globally.
- Expanding physical presence to Asia (Singapore office for scientific applications).
- Investing heavily in compute capacity at hyperscalers and recruiting top AI/ML engineers.
- Developing autonomous AI agents for materials research.

## Why Work Here
- **Culture & engineering**: Frontier AI research environment with deep roots in academia and big tech (Google DeepMind, Microsoft). Emphasis on agent‑based RL and force‑field simulation.
- **Work policy**: Hybrid – employees work a mix of remote and on‑site (offices in Cambridge, Amsterdam, Singapore, Germany). Typical on‑site time varies by role.
- **Perks & growth**: Competitive compensation (VC‑backed with substantial funding); high autonomy and impact in a fast‑growing company (+123% headcount YoY). Open‑source contributions (GitHub repos `widom` and `tonno`).
- **Talent signals**: Many employees previously at Dassault Systèmes, Isomorphic Labs, Quantinuum, and top universities; alumni go on to MIT, Mistral AI, Black Forest Labs.

## Sources
1. [cusp.ai](https://www.cusp.ai/) – Company website, leadership team, mission statement
2. [linkedin.com](https://www.linkedin.com/company/cusp-ai) – Headcount, financials, talent sources, open positions
3. [cbinsights.com](https://www.cbinsights.com/company/cuspai) – Valuation, funding rounds, news (including FT report)
4. [builtin.com](https://builtin.com/company/cuspai) – Company overview, hybrid policy, office locations
5. [github.com](https://github.com/Cusp-AI) – Open‑source repositories, organization details
6. (FT report cited in CB Insights) – “CuspAI to be valued at £2bn as Jeff Bezos invests”

## Other roles at CuspAI

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- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-cuspai-london-24zvg4ehhr4m) — London, United Kingdom
- [Research Engineer (Materials Foundation Models)](https://feeny.ai/job/research-engineer-materials-foundation-models-cuspai-cambridge-3evp0hzydtr8) — Cambridge, MA
- [Talent Acquisition Operations Specialist](https://feeny.ai/job/talent-acquisition-operations-specialist-cuspai-amsterdam-kfv53hjxwy3z) — Amsterdam, Netherlands
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