Founding Account Executive
Cartesia
Account Executive, Global Accounts
Cradle
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
About the role
- Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.
- Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.
- Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.
- Act as the voice of the market, surfacing customer feedback and strategic insights to inform product direction and roadmap priorities.
- Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor.
- Shape how we sell, improving playbooks, sales processes, and materials as we scale.
- Lead strategic engagements with influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships.
- Operate with ownership, urgency, and creativity.
Requirements
- Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.
- 5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).
- You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.
- You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.
- You listen intently, are innately curious, and learn with humility.
- Strong business network across biotech/pharma on the East Coast US.
- Domain knowledge in machine learning or its applications in life sciences.
- Prior experience at a (B2B) growth-stage startup.
- Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.
