Staff Engineer, AI Security and Product Security

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$187K-$220K From the posting source checked Jun 20, 2026

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

75% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Engineer, AI Security and Product Security Salt Lake City, Utah Your work will change lives. Including your own. The Impact You'll Make Define and lead product security strategy across web, mobile, API, cloud, infrastructure, and container security - conducting threat modeling, risk assessments, and security reviews throughout the development lifecycle with a strong shift-left focus. Embed secure development practices by designing and implementing secure coding standards, encryption, and security testing methodologies in close collaboration with development and ML teams, ensuring products are secure, resilient, and trustworthy. Own Enterprise AI Security end-to-end - from securing LLM integrations, agentic pipelines, and ML model ingestion to defending against AI-specific threats (prompt injection, data poisoning, model extraction, RAG poisoning, ), building AI incident response playbooks, and red-teaming AI systems across Recursion's product surfaces. Secure the AI supply chain and MLOps infrastructure by vetting third-party foundation models, open-source weights, and AI APIs before production integration, and partnering with ML engineering to protect training pipelines, feature stores, and model serving endpoints. Champion compliance and AI governance by operationalizing frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act requirements - collaborating with legal, privacy, and responsible AI teams to support audits and evolving regulatory expectations. Scale security as a force multiplier by evaluating and deploying security tooling, detecting policy violations, driving security outcomes, and ensuring security initiatives never become a bottleneck to business objectives. Elevate the security culture across the organization by serving as a subject matter expert, mentoring

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.