Software Engineer
EmployiaAbout the role
About the Company
We're partnering with a Greylock-incubated AI cybersecurity startup building the infrastructure to secure and control enterprise AI. As companies deploy more AI models and autonomous agents, the company gives security and IT teams visibility into AI activity, access, usage, and costs—while enabling them to detect and stop risky actions in real time. The company is building a new category at the intersection of AI infrastructure, cybersecurity, and enterprise software, with early adoption from major financial and technology organizations.
Company Snapshot
Greylock incubation, one of only 1–2 companies Greylock incubates each year, with previous companies from the program including major technology and cybersecurity leaders.
Already working with Fortune 500 customers only months after founding.
Backed by Greylock, Amplify Partners, and Palantir, alongside senior operators from leading enterprise technology companies.
Founding team has deep cybersecurity, red-teaming, and startup experience, including a previous successful company exit.
Why You Should Join
Join at the founding stage and shape the technical architecture from the ground up.
Build directly for Fortune 500 customers and see your work deployed within weeks.
Solve novel problems across AI agents, cybersecurity, distributed systems, and real-time infrastructure.
Work directly with experienced founders who have previously built and exited a company.
Take broad ownership across backend infrastructure, AI security, and customer deployments.
About the Role
You'll join as a Founding Engineer, owning critical product and infrastructure initiatives end-to-end. You'll build the systems that ingest enterprise AI telemetry, develop real-time detection and policy enforcement capabilities, work directly with customers during deployments, and help define the company's technical direction.
Qualifications
0–5+ years of software engineering experience, including exceptional internship experience.
Strong backend and systems engineering fundamentals, particularly distributed systems or infrastructure.
Experience at a startup or technology company known for high-caliber engineering talent.
Strong preference for backgrounds from companies such as Ramp, Databricks, Stripe, Modal, Cursor, Jane Street, Citadel, Palantir, Anduril, SpaceX, Wiz, or Vanta.
Top-20 CS program or equivalent preferred.
Experience with Go/Rust, applied ML, security engineering, red-teaming, or adversarial ML is a strong plus.
Competitive programming experience such as IMO, IOI, USACO, or Putnam is a plus.
Pay range and compensation package
Compensation: $250K–$400K
Equity: Up to 1%
Location: San Francisco, CA
Work Model: 100% Onsite
Visa: Sponsorship and transfers supported.
Responsibilities
- Own critical product and infrastructure initiatives end-to-end
- Build systems that ingest enterprise AI telemetry
- Develop real-time detection and policy enforcement capabilities
- Work directly with customers during deployments
- Help define the company's technical direction
Qualifications
- 0–5+ years of software engineering experience
- Strong backend and systems engineering fundamentals
- Experience at a startup or technology company known for high-caliber engineering talent
- Strong preference for backgrounds from top tech companies
- Top-20 CS program or equivalent preferred
- Experience with Go/Rust, applied ML, security engineering, red-teaming, or adversarial ML is a strong plus
Benefits
- Equity: Up to 1%
- Visa sponsorship and transfers supported
Skills mentioned
About Employia
We help VC-backed startups and scaleups hire the engineers and operators who build category-defining companies in the US, Europe & India. We work with companies backed by leading venture firms including Founders Fund, Sequoia, a16z, and YC. Roles we fill: • Founding Engineers • Forward Deployed Engineers • AI / ML Engineers • Founding GTM hires • Chief of Staff We source through founder networks, private operator communities, and alumni networks from companies like FAANG and leading AI startups. Most of the candidates we introduce are not actively job hunting. They move when the mission and team are right. We work with a small number of companies at a time so we can go deep on each search. If you're building something ambitious, let's talk.