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Director / Senior Director, Talent Acquisition
Lila SciencesCambridge, MA USAPosted 15 April 2026
Tech Stack
Job Description
Your Impact at LILA
Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As Director of Talent Acquisition, you will lead a team of recruiters, sourcers, and TA Operations professionals maintaining a critically high talent bar across AI, Software, and Scientific hiring.
You will set the strategic direction for how Lila finds, attracts, and closes exceptional talent in some of the most competitive markets in the world, designing interview processes, developing bespoke sourcing strategies, and building the metrics infrastructure to track what's working. You will also coach and mentor your team, raising the overall craft of the function.
The right person is deeply curious about highly technical disciplines, well-networked across AI, Software, and Science talent communities, and driven to multiply the brilliance and culture of the company with every hire. You operate with high autonomy and are motivated by building a talent function that is itself a competitive advantage.
What You'll Be Building
Lead and develop a team of recruiters, sourcers, and TA Operations professionals, setting high standards for performance, craft, and candidate experience
Own full-cycle recruiting strategy across the entire company, scaling the organization across multiple technical disciplines, functions, and geographies
Design and continuously improve interview processes, sourcing strategies, and closing approaches for highly technical and competitive roles
Build and deploy AI-powered tools and custom sourcing methodologies that raise the ceiling on how Lila recruits, and socialize best practices up to and including the C-suite
Build and manage recruiting metrics and reporting infrastructure to track pipeline health, conversion rates, time-to-fill, and quality of hire
Serve as a thought partner to senior leadership on talent market trends, hiring forecasts, and team-building strategy
What You’ll Need to Succeed
10+ years of recruiting experience, with at least 3 years building and leading high-performing TA teams in a fast-growing company
Demonstrated success developing recruiter capability, raising the bar on sourcing craft, candidate quality, and team-wide performance
Deep technical recruiting expertise across multiple of the following: AI/ML, Software Engineering, Scientific research
Proven ability to scale a recruiting function across disciplines, geographies, and role types as a company grows
Track record of building and deploying AI-powered tools and custom sourcing methodologies that give the team a structural advantage
Strong command of recruiting metrics and the ability to translate data into team priorities and hiring strategy
Advises senior leadership and hiring managers on talent strategy and how to build world-class teams at scale
Bonus Points For
Experience scaling TA functions at high-growth companies from early stage through significant organizational expansion
Familiarity with the talent landscape in AI, biotech, or deep tech
Experience recruiting internationally or building multi-region hiring pipelineS
Compensation
We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
Expected Base Salary Range
$168,000
$272,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
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 at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, tru ... (truncated, view full listing at source)
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