Manager / Senior Manager, Enterprise GTM, Materials
Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA
CHECKED 15H AGO
Bio & Science AIonsitemanager$108k–$187k
At a glance
Highlights
- Define how Fortune 500 firms adopt AI platform for scientific superintelligence.
- Close enterprise deals for autonomous labs across catalysts and materials.
- Foundational hire shaping repeatable GTM playbook for AI-driven discovery.
What they offer
- Competitive base with bonus potential and early-stage equity
- Medical, dental and vision coverage with life and disability insurance
- Flexible time off, company holidays and paid parental leave
- Educational assistance, commuter benefits and subsidized lunch
Ideal candidate
Entrepreneurial, customer-obsessed seller with materials or chemistry roots who thrives in ambiguity. You blend technical fluency with business acumen and want to shape early enterprise GTM for AI-driven science.
Requirements
- BS, MS, PhD or equivalent in materials, physics, chemical engineering or adjacent field
- 2-5+ years in client-facing BD, enterprise sales, consulting, customer success or applied science
- Comfortable in fast-moving, technical, cross-functional environment with evolving processes
- Strong written and verbal communication translating technical depth into customer-ready narratives
- Highly organized and execution-oriented, managing multiple live accounts with limited oversight
- Collaborative, low-ego style building trust with scientists, engineers and product leaders
- Hands-on user of AI tools with curiosity about AI and autonomous science
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation