1 month ago
Base Salary
$266k - $395k/yr
Responsibilities
- Secure corporate use of AI tools, connectors, agents, and agent environments.
- Build identity automation so access changes with job roles and ends when employees or contractors leave.
- Engineer authentication, device, contractor, privileged-access, and network-access controls.
- Harden, monitor, and patch corporate devices using MDM and EDR platforms.
- Identify unmanaged SaaS, risky configurations, and inappropriate sensitive-data sharing and drive remediation.
- Build Python or Go automation and integrations on top of enterprise security platforms, including LLM- and agent-enabled workflows.
- Measure control coverage and effectiveness, support audit evidence, provide telemetry for Detection & Response, and assist with incident response.
- Partner with IT, HR, Legal, GRC, Detection & Response, Security Platform, and Developer Productivity teams; mentor newer security team members.
Requirements
- 5+ years of demonstrated security engineering experience in enterprise or corporate security.
- Demonstrated ability to independently own security work end to end and make sound decisions in ambiguous environments.
- Hands-on experience with workforce identity, identity providers, SSO, federation, provisioning standards, MFA, and privileged access.
- Practical experience securing corporate SaaS, managed endpoints through MDM and EDR, and network access based on zero-trust principles.
- Ability to ship high-quality automation in Python, Go, or similar, including security work involving LLMs or agents.
- Understanding of workplace AI assistants and agents and their data and access risks.
- Ability to communicate security trade-offs to IT, HR, Legal, and employees and earn adoption without direct authority.
- Preferred: experience with contractor or personal-device access, data perimeter or DLP controls, isolated developer or agent workloads, and identity, SaaS, or endpoint configuration as code such as Terraform.
- Preferred: experience supporting SOC 2, ISO 27001, or FedRAMP audits and enterprise security at a high-growth technology company or cloud provider.
Benefits
- Requires working from the Bellevue, San Francisco, or San Jose office four days per week, with Tuesday designated as the work-from-home day.
- Offers generous cash and equity compensation; no explicit base salary amount is provided.
- Health, dental, and vision coverage are available for employees and dependents.
- Wellness and commuter stipends are available for select roles.
- 401(k) plan with a 2% company match is available to U.S. employees.
- Flexible paid time off plan.
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.