Home › Companies › Lila Sciences › Community & Ecosystem Growth Strategist
Community & Ecosystem Growth Strategist
Lila Sciences · Cambridge, MA USA · Active · $148,000–$198,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Lila Sciences |
| Title | Community & Ecosystem Growth Strategist |
| Normalized title | - |
| Department / team | Business Operations |
| Location | Cambridge, MA, United States |
| Work model | - |
| Employment type | - |
| Salary | $148,000–$198,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-24 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-18 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Lila Sciences. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Cambridge. | Open |
| Department jobs | Active postings in Business Operations. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Lila Sciences |
| Source | a1e67975-fd33-4f8d-940f-2dbc2480c450 |
| ATS provider | Greenhouse |
Description
Your Impact at LILA
We are hiring a Community & Ecosystem Growth Strategist who is equal parts social strategist, influencer operator, and deeply online community member. A key part of this role is growing high-quality networks of followers for Lila’s executives and scientific leaders by tapping the communities that matter across:
Academia and research
Relevant industries (materials, energy, chemicals, therapeutics, biotech, aerospace and defense)
Government and public sector science, technology, and innovation ecosystems
You will help our leaders show up credibly and consistently in technical discourse, build relationships, and earn durable attention.This role also requires fluency with AI agents and the ability to build, deploy, and manage them — from engagement monitoring and community growth to content drafts and analytics workflows. We expect this person to think like an operator who uses agentic tooling to extend their reach and keep pace with the demands of running a multi-platform presence at scale.
What You’ll Be Building
Executive presence and follower growth
Build and execute growth strategies for key executives’ social accounts (X, LinkedIn, substack, and niche community platforms).
Grow networks with the right followers: researchers, lab leaders, R&D decision-makers, open-source contributors, and public sector stakeholders.
Build an executive “always-on” cadence: posts, replies, threads, commentary, and lightweight community engagement.
Be present in frontier technical communities
Participate in online communities discussing AI-accelerated science, robotics, materials science, life science, chemistry, frontier technology, generative AI, and agentic science.
Bring Lila into threads in a way that is helpful and authentic, including in skeptical or high-signal conversations.
Influencer and community activation
Build relationships with credible creators and technical influencers across academia, industry, and government-adjacent networks.
Orchestrate co-created moments: AMAs, roundtables, briefings, interviews, guest threads, and research spotlights that elevate Lila leaders.
Thought leadership enablement
Ghostwrite or co-write with executives and technical leaders while preserving their voice.
Coach leaders on how to engage in replies and community threads in ways that build trust (not hype).
Measure and iterate
Track executive and brand growth using meaningful metrics: follower quality, engagement depth, network effects, and relationship development.
Run experiments and continuously improve the playbook.
What You’ll Need to Succeed
Proven ability to organically grow executive and brand followings in technical/scientific spaces.
Strong writing and editorial judgment for technical audiences.
Comfort operating in public technical discourse, including disagreement and skepticism.
Enough marketing fluency to align with brand and comms strategy, plus the independence to run the social/community engine day to day.
Hands-on experience building or managing AI agents — for content workflows, community intelligence, or analytics — and a clear-eyed sense of where they help and where human judgment is irreplaceable.
Bonus Points For
Existing networks across AI-for-science, robotics, open-source, academia, national labs, or government-adjacent science/tech communities.
Experience supporting executives or founders as thought leaders (voice, cadence, engagement strategy).
Familiarity with agentic frameworks or platforms (e.g., Claude, NotionAI, custom tooling) and the ability to scope, prompt, and iterate on agent behavior without necessarily writing production code.
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.
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; and a company subsidized lunch program.
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; international salaries are set to local market.
Expected Base Salary Range $148,000 — $198,000 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, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Full job record
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| Board ID | a1e67975-fd33-4f8d-940f-2dbc2480c450 |
| Provider | greenhouse |
| Provider Job Key | 4146091009 |
| Title | Community & Ecosystem Growth Strategist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cambridge, MA USA |
| Department | Business Operations |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | MA |
| City | Cambridge |
| Salary Raw | Salary Range $148,000 — $198,000 USD About LILA Lila Sciences is building Scientific Superintel |
| Salary Min | 148,000 |
| Salary Max | 198,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/lilasciences/jobs/4146091009 |
| Apply URL | https://job-boards.greenhouse.io/lilasciences/jobs/4146091009 |
| First Seen At | 2026-05-29 23:01:25Z |
| Last Seen At | 2026-06-18 07:36:25Z |
| Last Checked At | 2026-06-18 07:36:25Z |
| Last Changed At | 2026-05-29 23:01:25Z |
| Inactive At | — |
| Source Posted At | 2026-02-24 20:45:37Z |
| Source Updated At | 2026-05-27 20:14:06Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=lilasciences/date=2026-06-18/2026-06-18T07-36-25-484Z-174e9fa41553d98071afdd8d598796f91698e5da571d1b9ebdb9fb9415bb94d7.json |
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