6 дней назад
Partner 20, Staff Engineer, Enterprise Security (AI)
243 000 - 284 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Partner 20, Staff Engineer, Enterprise Security (AI): Owning enterprise security programs covering insider risk, data protection, SaaS security, endpoint management, and secure AI adoption with an accent on DLP, agentic-system governance, identity controls, and vendor risk. Focus on selecting and implementing security tooling, enforcing access and device policies, investigating data exfiltration, and protecting sensitive investment and portfolio-company information.
Location: Hybrid role requiring in-office presence every Tuesday and Thursday in San Francisco, California, with occasional days in Menlo Park, California.
Salary: $243,000–$284,000 annually, plus potential carry, discretionary bonuses, and benefits.
Company
is a venture capital firm investing in technology companies across AI, healthcare, consumer, crypto, enterprise, fintech, games, and American dynamism.
What you will do
- Own the insider risk and data protection program, including selection and implementation of a DLP platform and AI-augmented investigative tooling.
- Drive secure adoption of AI tools and agents by defining data controls, access governance, guardrails, and oversight processes.
- Manage SaaS security posture, vendor inventories, secure configuration baselines, SSPM, and monitoring for risky changes.
- Set and enforce authentication, authorization, device trust, MFA, and access-review policies with IT.
- Manage EDR coverage and rulesets across macOS, Windows, and iOS, coordinating MDM policies with IT.
- Investigate insider risk and data exfiltration events, lead vendor security reviews, support joiner-mover-leaver processes, and participate in the security on-call rotation.
Requirements
- 7+ years of experience in security engineering or enterprise security.
- Deep expertise in identity and access management, authentication and authorization, DLP, insider risk tooling, SSPM, and endpoint management.
- Experience owning security programs end to end, including strategy, vendor selection, implementation, and accountability for outcomes.
- Hands-on experience securing enterprise AI tools and agentic systems, including data-flow controls, model and tool access governance, and AI vendor evaluation.
- Experience with Google Workspace, Okta, MDM, SSPM, zero-trust architecture, cloud-native environments, and third-party security assessments.
- Ability to translate technical risk for non-technical stakeholders and collaborate effectively across teams.
Culture & Benefits
- Benefits include health, dental, vision, disability, and life insurance.
- 401(k), vacation, and sick leave are provided.
- Eligibility for the a16z carry program and discretionary bonus programs.
- Culture emphasizes long-term relationships, diverse perspectives, teamwork, and high standards.
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