This role is based in San Francisco or New York and will report to the Head of GTM.
Logical Intelligence builds AI reasoning systems for complex, constrained problems. Our platform, Workbench, post-trains our proprietary models on an industrial R&D team's own data, inside the customer's environment, to design new molecules. We started with organometallic chemistry.
About the role
You will own each materials-discovery partnership, taking each use case from the first scoping call through a paid pilot to a production license. You run the program, and our forward-deployed researchers run the science, working alongside the customer's chemists.
This is a senior individual contributor role starting January 2027 for someone with 5 to 10 years of experience.
What you'll do
•Qualify new accounts: measured data on the target property, a lab that can test our candidates, an in-house method to beat and a named budget owner.
•Turn a customer's R&D problem into a benchmark, success metrics and acceptance criteria that their scientists and procurement team will both sign.
•Structure milestone-gated programs (statements of work, milestone tiers, deployment plans) with the Head of GTM and legal counsel.
•Run each program end to end: plans, steering committees, risks, gate evidence and invoicing.
•Coordinate Workbench deployments with engineering, including on-premise installation, security review and onboarding.
•Convert each program into an annual license, then scope expansion by property, metal system and team.
•Run our academic and nanofab partnerships, from sponsored research agreements to the return of every measurement.
•Build our deal desk: pricing calculators, comparable deals and program economics.
•Feed deployment lessons back to research and engineering, and write the playbook that makes each deployment faster.
What you bring
•5+ years turning scientific work into signed customer agreements, for example as an application scientist, alliance manager, engagement manager or deployment strategist.
•Experience taking pilots or proofs of concept to production with enterprise customers.
•Experience running milestone-based agreements (SOWs, collaboration or sponsored research agreements) and a view on what makes an acceptance criterion fair.
•The ability to defend a computational benchmark to a customer's chemists and a business case to their CFO.
•Comfort with both researchers and senior customer stakeholders, and a strong sense of ownership.
•Clear writing, strong spreadsheet modeling and about 25% travel.
Nice to have
•Experience in industrial, chemistry, materials, energy, manufacturing.
•An MS or PhD in chemistry, materials science, chemical engineering, physics or a related field.
•Familiarity with computational chemistry tools or modern ML architectures.
•University tech transfer or sponsored research experience.
•Management consulting or forward-deployed experience.
logicalintelligence.com