Latent
Security Engineer
San Francisco or New York City or Remote
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About the role
- Our systems sit directly in critical workflows and power how clinical AI is delivered and used in practice.
- You'll be working on securing all aspects of Latent's code, cloud, AI, and IT systems.
- You will be partnering with all Latent employees across engineering, product, legal, and GTM to safely enable Latent employees to move quickly without sacrificing security and compliance.
Responsibilities
- You'll be a Security generalist, helping define, lead, and execute the roadmap in all aspects of Security. Here are some of the areas you will work in:
- Help the Security team investigate potential incidents, build detections that are specific to Latent's environment, and work with our AI-native MDR service to improve accuracy around escalated incidents.
- You'll be a Security generalist, helping define, lead, and execute the roadmap in all aspects of Security.
- One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment.
Requirements
- You can take a complex and large product and break it down into focused, iterative steps that incrementally make our security and compliance posture better.
- You have collaborated with developers to help them write secure code and secure features.
- You aren't afraid to use coding agents to contribute solutions directly to the code base! (You don't have to be a coding wizard Harry, but you do need to understand basic engineering principles to give your coding agent positive feedback if it spits out the wrong solution)
- You've built out IAM workflows (Okta, SSO, SAML, JIT provisioning) to give employees just the right amount of access to get their job done
- You've designed and rolled out managed settings for AI tools and coding agents to make sure employees have a good sandbox to work in to get their jobs done with AI
- You've helped harden AWS cloud and CI/CD environments (Think well-scoped IAM roles, hardening cloud environments to CIS standards, picking the right CSPM and driving down a findings backlog ect..)
- You've helped build and maintain a vulnerability management program all the way up the stack (Server/Container/3rd Party OSS/Custom Code)
- You've automated security and compliance requirements for MacOS and BYOD endpoints using an MDM
- You understand your way around a security alert, security investigation, and can write and tune detections that are relevant to Latent's environment
Nice to have
- You have experience working at an early stage startup doing security
- You've participated in or built controls for SOC2 audits
- Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator
- Real ownership and visibility
- High-impact role on a small, fast-growing team
Compensation
- Competitive compensation, including meaningful equity
Benefits
- Competitive compensation, including meaningful equity
- Medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy
- Paid parental leave
- Fertility and family-building stipend through Carrot
- We're building the intelligence layer of American healthcare.
- Latent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients.
- Latent's platform enables more than 60 leading health systems that collectively serve an estimated 70 million people.
Company info
- Founded by Sriram "Sri" Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.
- WHAT WE'RE LOOKING FOR You're a builder who holds yourself and others to high standards.
- Help us secure our data warehouse so that our internal employees and customers get the insight they need without sacrificing our commitment to patient security and privacy.
This listing is sourced directly from Latent's careers page and normalized into a canonical job model.