At a Glance
- Tasks: Guide early-stage AI companies with strategic insights and technical feedback.
- Company: C10 Labs, an innovative AI venture studio in Cambridge, MA.
- Benefits: Opportunity to shape the future of AI and work with passionate founders.
- Other info: Join a dynamic cohort focused on scalable enterprise solutions.
- Why this job: Make a real impact by mentoring the next generation of AI-first companies.
- Qualifications: Experience in SaaS and enterprise tech, especially with AI and automation.
The predicted salary is between 80000 - 95000 £ per year.
C10 Labs is an AI-focused venture studio and early-stage fund dedicated to building and backing the next generation of applied AI companies. Based in Cambridge, MA, C10 Labs works closely with founders to accelerate the development of scalable AI ventures across enterprise software, healthcare, biotech, industrial systems, climate, and scientific discovery. This summer, C10 Labs is launching a new Applied AI cohort in partnership with Launchpad.io and Pegasystems Ventures focused on Vertical AI and enterprise workflow automation.
Mentors — C10 Labs is seeking experienced founders, operators, technical leaders, and enterprise SaaS professionals to join the program as Mentors. Mentors will work directly with early-stage founders building AI-first companies focused on enterprise software, workflow automation, agentic systems, decisioning, operational infrastructure, and scalable B2B platforms. This role is ideal for leaders with experience building, scaling, deploying, or advising SaaS and enterprise technology companies — particularly those with exposure to AI, automation, workflow systems, enterprise infrastructure, or large-scale software deployments. Mentors will play an active role throughout the cohort by providing strategic guidance, operational insight, technical feedback, and market perspective to help founders build scalable and commercially viable AI companies.
Responsibilities
- Provide strategic guidance, operational insight, technical feedback, and market perspective to early-stage AI-first companies.
- Collaborate with founders, operators, engineers, and enterprise leaders to support product development, customer validation, and go-to-market execution.
- Advise on enterprise software, workflow automation, agentic systems, decisioning, operational infrastructure, and scalable B2B platforms.
Qualifications
- Experience building, scaling, deploying, or advising SaaS and enterprise technology companies.
- Exposure to AI, automation, workflow systems, enterprise infrastructure, or large-scale software deployments.
