Lila Sciences

Your Impact at LILA Lila is building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc) to prepare for risks from scientific superintelligence. We are looking for a Senior or Principal Technical Program Manager to join our AI Research team and serve as a critical operational force behind our AI safety work. In this role, you will be the connective tissue between our researchers, model development teams, engineering, policy stakeholders, and leadership — translating complex, fast-moving research programs into structured, accountable execution. While not an ML researcher yourself, but you must be genuinely curious about the technical substance of AI safety work, and able to clearly articulate what our efforts are trying to accomplish. The successful candidate will be someone who thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum in a fast paced and rapidly growing team. What You'll Be Building Serve as the key communication interface between the AI safety team and the research, science and technical teams, effectively communicating complex outcomes and securing necessary resources. Set up the organisational information flows that allow for this communication to happen with speed at scale. Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment. Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression. Develop clear documentation and reporting to communicate vision, track progress, and align initiatives with organizational priorities. Represent program status and risks accurately and confidently, even when the picture is uncertain or evolving. What You’ll Need to Succeed Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or a related field. 6+ years of program or project management experience in the technology or life sciences field. Proven experience in program management, leading cross-functional teams and driving programs to successful completion. Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps. Exceptional written and verbal communication skills; a track record of producing executive-quality documents, roadmaps, and updates that drive decisions. Bonus Points For Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity. Working familiarity with AI safety concepts — alignment, red-teaming, evaluations, responsible scaling — sufficient to engage credibly with researchers and ask good questions. Experience managing programs that span safety, compliance, or governance workstreams, particularly in the context of model development and deployment. Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration. 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 $268,000—$384,000 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.

Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise — ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building Enterprise AI Security Strategy — Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. AI Gateway & Agentic Gateway Security — Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. AI Red Teaming & Adversarial Testing — Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. Data Protection for AI Usage — Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs. Multi-Layer AI Security (Network, Endpoint, Data) — Integrate AI security into existing enterprise security layers: network visibility and control over AI service access, API traffic inspection, and zero trust enforcement; endpoint security for developer machines, research environments, browsers, and plugins; data layer controls ensuring proper handling of sensitive data when interacting with AI systems. AI Threat Modeling (Enterprise Context) — Develop threat models focused on enterprise AI usage, including risks such as data leakage, prompt injection, model misuse, supply chain risks from AI vendors, and unauthorized agent actions. Vendor & Platform Security — Assess and guide secure adoption of third-party AI vendors and platforms, including evaluating data handling practices, model behavior, and integration risks. Incident Response for AI Usage — Define and support response approaches for AI-related incidents, such as sensitive data exposure, policy violations, or misuse of AI tools. Cross-Functional Technical Leadership — Partner with Legal, Compliance, IT, and Engineering to align AI usage with regulatory requirements, data governance policies, and responsible AI practices. Security Enablement — Contribute to internal guidance and education on safe AI usage, including secure prompting, data handling, and appropriate use of AI tools. Security Tooling & Implementation — Evaluate and implement tooling for AI security, including AI gateways, DLP integrations, monitoring solutions, and policy enforcement mechanisms. What You’ll Need to Succeed 8+ years of experience in information security, with strong expertise in enterprise, cloud, or application security. Hands-on experience designing and implementing security controls in enterprise environments. Familiarity with AI/ML systems and how modern AI tools (LLMs, copilots, APIs) are used in practice. Experience with cloud platforms (AWS/GCP), SaaS security, and zero trust architectures. Experience with data protection technologies (e.g., DLP, data classification, access controls). Practical experience with threat modeling, red teaming, or adversarial testing. Strong communication and influence skills across technical and non-technical stakeholders. Bonus Points For Experience securing enterprise use of LLMs, copilots, or generative AI platforms. Familiarity with AI gateways, prompt filtering, or model interaction controls. Experience evaluating or securing third-party AI vendors and APIs. Background in regulated environments (biotech, healthcare, defense, or government). Experience with browser security, endpoint controls, or SaaS security platforms. Knowledge of privacy-enhancing technologies or confidential computing. Contributions to AI/ML security research or community. 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 $171,000—$230,534 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.