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Ecosystem Lead

San Francisco, CA

About

Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.


Role

We are seeking an Ecosystem Lead to drive adoption among scientists in academia, biotech, and pharma- and to identify new user communities at the frontier of AI-accelerated research. This is a leadership role for someone who combines strategic vision with hands-on execution across product, growth, and partnerships.

The ideal candidate has led and scaled growth initiatives for technical products, excels at building relationships across scientific and commercial audiences, and can translate complex technology into compelling stories and user experiences. A background in life sciences is not required, but curiosity and the ability to quickly learn the language and culture of scientists are essential.


Responsibilities

  • Define and execute a growth strategy that aligns with Edison Scientific’s mission to accelerate scientific discovery through AI.
  • Collaborate with our internal science team and external partners to create compelling demos and narratives that showcase our technology.
  • Lead go-to-market efforts- from content and campaigns to events and community engagement- to drive awareness and adoption.
  • Use data to understand user behavior, identify growth opportunities, and optimize engagement across our platform.
  • Translate market insights into product direction, ensuring our tools deliver measurable impact while maintaining scientific and technical rigor.

Qualifications

  • 10+ years of experience in product management, with at least 5+ years in leadership.
  • Proven track record of building and scaling products in biotech, life sciences, or computational biology.
  • Demonstrated success in growth leadership - driving adoption, market expansion, and customer success.
  • Deep understanding of biology, ideally in molecular biology, synthetic biology, cellular biology, computational biology, or adjacent fields.
  • Strong leadership skills with experience building, mentoring, and managing teams.
  • Excellent communication skills, with the ability to calibrate between technical/scientific experts and business stakeholders.
  • Experience working in startup or high-growth environments, balancing strategy and execution.

Bonus points for:

  • Advanced degree in biology, bioengineering, computational biology, Degree in computational biology, drug discovery, machine learning, or a related field strongly preferred (MBA or dual background a plus).

Location + Compensation

  • Collaboration is at the heart of discovery.  We work on-site to stay close to the science, move faster as a team, and share the kind of energy that only happens when smart, curious people build together- in a space that we love to be in!
    • Location:  San Francisco (Dogpatch)
  • At Edison Scientific, we know that titles can cover a range of experience levels. Actual base pay will depend on factors such as skills, experience, and scope of responsibility. Compensation ranges may evolve as we continue to grow. In addition to base pay, team members may be eligible for equity, benefits, and other perks.
    • Compensation:  $225,000+

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