- Location
- New York City
- Level
- Senior
- Posted
- 10 August
About this role
Why Translucent
Healthcare providers drive $2.5 trillion in medical expenditures annually - and operate on razor-thin 2 - 5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.
Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance - giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.
Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world - this is the place.
About the role
We're hiring a Senior Security Engineer in New York to own security and compliance across our IT and software development practices at the frontier of LLM-agentic product development. You'll join the platform technology organization as its primary security engineer, building and maintaining security infrastructure in GCP and across our sub-processors. Partnering closely with platform and product engineers, you'll keep our core deployed systems secure and well-tested, define internal security standards, and evaluate and audit the technologies the company adopts. In short, you'll enable us to move fast with emerging technology without compromising on security.
What you'll do
- Manage SecOps software in GCP and Vanta.
- Continually monitor, analyze and improve our deployed software’s security posture
- Validate software is correct, secure, and maintains customer privacy
- Manage compliance standards and own the lifecycle of necessary diligence work
- Maintain a database of core security artifacts, document processes and help manage security work
- Build the data and AI governance framework for internal operations
- Select and audit technologies for use internally in operating the business
- Ensure we’re compliant with our contractual obligations beyond our opt-in and mandated security standards
What we're looking for
Must-haves
- Strong Experience with Vanta and other SecOps platforms, setting up and maintaining those platforms.
- Experience with Cloud DevOps IaC platforms, preferably Terraform (we use OpenTofu).
- Experience auditing cloud-based LLM tools and running AI security audits.
- Experience working with IT procurement and security vetting.
- Strong understanding of SAML, SSO, SCIM, OIDC, and identify management platforms
- Strong understanding and opinions about security in the age of LLM-agent based software development
- Experience programming, building, and maintaining tooling and software for internal use
- Strong experience performing security-focused design and code reviews
- 5+ years of post-university (bachelor's degree) industry experience
- Experience working in a high-growth environment in a highly regulated industry, such as healthcare preferably, finance or defense.
Nice-to-haves
- Led or managed SOCII and HITRUST security audit processes
- Helped manage relationships with security product vendors
- Experience with Google Security Command Center
- Experience with Auth0 and Okta
- Experience with Golang, Typescript, or Python
Education
Bachelor's degree (or higher).
Location
Union Square, New York City. In-office 4 days per week.
Anticipated compensation: $180,000 - $250,000 with Equity
As published by Translucent AI. Applications are handled on their site.
Skills this posting mentions
About Translucent AI
Hospitals and clinics shouldn't have to choose between financial health and patient health. But today, they do. Healthcare finance teams are drowning in manual data work - pulling numbers from multiple systems, building spreadsheets, answering endless questions from operators. By the time they finish analyzing last month's performance, they're already behind on this month's decisions. The result? Finance leaders are forced to make difficult tradeoffs: cut services to stay solvent, or keep services running and risk financial instability. What We Do Translucent is healthcare's financial operating system. We automate the manual data work that consumes finance teams - connecting fragmented data sources, running analyses, and surfacing insights instantly. Instead of spending days building reports, finance teams can focus on what matters: moving the margin and making strategic decisions that improve both financial performance and patient care. Why It Matters When healthcare finance teams have the financial clarity they need, hospitals can maintain strong margins while delivering excellent patient care. No more forced tradeoffs between the two. We serve health systems and medical groups across the United States - from large multi-billion dollar organizations to small rural hospitals where every decision affects whether patients can access care locally. Our Team & Backing Translucent is backed by GV, NEA, FPV Ventures, Virtue, and Redesign Health. We're headquartered in New York City and bring together expertise in agentic AI, healthcare operations, and enterprise software.
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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
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