Staff AI Engineer
About The Position
SecurityScorecard is building AI capabilities that change how security professionals understand and act on risk. We are looking for a Staff AI Engineer to lead that work. This is the role for the engineer who needs no scaffolding. You identify the problem, design the system, build it, ship it, and improve it — and you bring others along. You use AI-native tools not as a novelty but as a genuine force multiplier, moving at a pace that used to require a full team. You have strong product instincts and are comfortable operating with the ownership and ambiguity of a founding-team environment within an established company.
Requirements
- 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end
- Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
- 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
- Strong product instincts: you think about user problems and business outcomes, not just technical implementation
- Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale
- Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment
- Cloud infrastructure experience (AWS preferred) and comfort with the full production stack
- Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders
Nice To Haves
- Prior experience in a Staff or Principal engineering role with cross-team technical influence
- Background in cybersecurity, threat intelligence, or enterprise risk products
- Experience building and operating agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure
- Track record of defining engineering standards or leading technical strategy at the organizational level
- Experience in high-growth, Series C/D+ companies where engineering velocity and quality both matter
Responsibilities
- Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
- Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
- Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
- Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team
- Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap
- Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with
- Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization
- Operate with Staff-level ownership: you see the whole problem, not just your part of it
Benefits
- Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
