Portfolio Manager, Government Partnerships

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery across medicine, materials, and energy.

Responsibilities

• Own Lila's relationships across assigned agencies, program offices, and international counterparts, starting with DARPA and ARPA-H
• Build and maintain a structured pipeline of RFIs, RFPs, BAAs, FOAs, NOFOs, and other equivalent mechanisms
• Lead opportunities from identification through award and execution handoff, partnering with Product Managers and Principal Investigators
• Translate Lila's scientific thesis and autonomous-science workflows into compelling federal and international narratives
• Develop sustained agency relationships to lead to recurring funding pathways and large procurements
• Contribute to and refine Lila's public-sector capture engine, including qualification rubrics and capability libraries

Requirements

• 10+ years of experience in federal or international government capture, business development, or partnerships
• Proven track record of winning major awards or programs (FOAs, BAAs, NOFOs, CRADAs, etc.)
• Working fluency in at least one major public-science ecosystem (DARPA, ARPA-H, DOE, NIH, NSF, or NIST preferred)
• Experience managing end-to-end capture processes
• Ability to translate complex science and AI into clear narratives for senior government audiences
• Strong cross-functional leadership skills
• Excellent written communication skills
• Willingness to travel regularly

Preferred Qualifications

• PhD or scientific background in chemistry, materials science, life sciences, or physics
• Prior employment at a National Lab, DOE program office, ARPA-*, NIH/NSF, or international science-funding body
• Experience negotiating CRADAs or standing up user-facility access pathways
• Experience standing up a federal capture function from scratch
• Familiarity with the Genesis Mission, NAIRR, or analogous national AI-for-science initiatives
• Active U.S. security clearance