Lila Sciences
Manager / Senior Manager, Enterprise GTM, Materials
Cambridge, MA USA · Senior · Full-time
Sponsorship not specified$108k-$187kDetected 50 days ago
Machine LearningProduct ManagementProduct StrategyCRMSalesNegotiationProcurementRecruitingCustomer SuccessRoboticsResearchLeadershipCommunicationOrganizational Skills
Stay score
odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This role blends technical depth with strong business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on.
- Your final offer will reflect your background, expertise, and expected impact.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Responsibilities
- 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.
Nice to have
- Coordinate internally across product, science, and leadership, bringing the right experts into customer conversations and unblocking technical inputs.
- Track the AI/ML partnership landscape across physical sciences and translate it into implications for Lila's positioning, messaging, and competitive strategy.
- BS, MS, PhD, or equivalent experience in materials, physics, chemical engineering, or adjacent fields.
- Comfortable in a fast-moving, highly technical, cross-functional environment where the sales process, materials, and role itself are still being shaped.
- Strong written and verbal communication, able to translate technical depth into clear, customer-ready narratives for both R&D buyers and procurement teams.
- Highly organized and execution-oriented, comfortable managing multiple live accounts in parallel with limited oversight.
- Hands-on use of AI tools in day-to-day workflows and curiosity about how AI and autonomous science will reshape physical science.
- Direct exposure to enterprise R&D buying cycles in materials, semiconductors, or industrial biotech.
Compensation
- We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
- International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
- Expected Base Salary Range
- $108,000 - $186,667 USD
Benefits
- U.S. Benefits.
- Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage
- employer-paid life and disability insurance
- flexible time off with generous company wide holidays
- paid parental leave
- an educational assistance program
- commuter benefits, including bike share memberships for office based employees
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.