Founding Growth Lead

The first growth hire owns how a lab software startup reaches scientists, from picking target labs to running outreach and events personally. A strong candidate has several years in life science tools or lab software growth, knows how research labs buy and who decides, and can write and show up in person. Building a repeatable playbook from scratch matters more than following an existing one.

How

it fits the AI era

The product turns plain text lab protocols into instrument runs, so the growth work is explaining a new way of working to scientists who trust their own hands. AI helps draft content, build target lists and sort outreach results, but the judgment about which labs to pursue and the credibility in a room full of researchers stay human. Field conversations still shape what gets built next.

How

it builds AI experience

Working here means learning how AI tools fit into real lab workflows and how to explain that to skeptical researchers. A candidate can build this by using AI for outreach and content, and by understanding where protocol automation fits in academic and biotech labs. Bench or life science background helps translate the product for scientists.

Worth showing

• Life science growth experience
• Lab buying knowledge
• Research community network
• Clear concise writing
• Early startup building

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Infera

Infera develops a natural language experimental compiler that converts plain text biological protocols into executable instrument runs.

• Vice President, Scientific Partnerships San Francisco, CA, US / Boston, MA, US / Remote (San Francisco, CA, US;
  Boston, MA, US;
  Seattle, WA, US;
  Washington, DC, US;
  New York, NY, US;
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