Edison Scientific

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Member of GTM Staff, Scientific Solutions

Location

United States

Posted

4 days ago

Salary

$180K - $240K / year

Seniority

Lead

Job Description

Member of GTM Staff, Scientific Solutions

Edison Scientific

Role Description As a Member of GTM Staff, Scientific Solutions, you own how Edison’s pharmaceutical and biotechnology customers get up and running, adopt the platform, and realize value. You lead onboarding, drive adoption, and maintain account health from kickoff through deployment and the ongoing partnership. You work directly with research scientists and R&D leaders to understand their goals and help teams integrate Edison into their scientific work. You build the success plan, run the customer cadence, track progress and risks, and ensure that questions, requests, and decisions reach closure. This role combines scientific fluency, customer leadership, and rigorous program execution. You will work closely with the broader account team to create a connected customer experience and build durable, growing relationships. The role is open in San Francisco or New York, with remote considered, and roughly 40% travel. You will join a small team moving fast and building the commercial function from the ground up. Responsibilities - Lead onboarding for a portfolio of strategic pharma and biotech customers, getting teams set up, engaged, and productive. - Develop success plans with clear customer outcomes, milestones, stakeholders, risks, and evidence of value. - Drive adoption through training, workshops, office hours, champion development, and direct engagement with scientific users. - Maintain an evidence-based view of account health, identifying risks early and coordinating the actions needed to keep customers progressing. - Run customer cadences and executive reviews that align stakeholders on progress, value, priorities, and next steps. - Bring customer needs and insights back to Edison, support renewal and expansion, and turn successful approaches into repeatable playbooks. Qualifications - 7+ years in scientific solutions, customer success, technical account management, field applications, consulting, or another customer-facing role within life sciences technology. - Strong understanding of drug discovery, biopharma R&D, or scientific research workflows, with the credibility to engage directly with scientists. - Experience guiding complex enterprise customers from onboarding through sustained adoption and measurable value. - Strong program leadership, with the ability to create clarity and maintain momentum across multiple teams, stakeholders, and workstreams. - Clear communication across scientific users, technical teams, and senior executives. - Comfort working in an early-stage environment where the product, customer model, and playbooks are still evolving. Bonus Points For - PhD or bench science background (drug discovery, biology, chemistry, or related). - Experience supporting AI or computational tools in a pharma R&D or research context. - Experience building Scientific Solutions infrastructure from scratch: playbooks, health scoring, onboarding Programs. Salary $180,000 - 240,000 • Offers equity (Based on Tier 1 Cities - New York & San Francisco) Benefits - Competitive salary and equity - Full healthcare coverage — we pay 100% of premiums for you and your dependents - Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot - 401(k) company matching - $300 health and wellness benefit - Lunch is on us every day you're in the office, and dinner is on us when you're working late - Regular team offsites and company events - A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it Company Description Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

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