SecurityScorecard

3 months ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead and own major AI-powered product initiatives, from problem definition to production, within a founding-team style environment. Define architecture for AI systems, set engineering standards, and collaborate with product and CTO to shape the AI product roadmap, while delivering high-velocity, high-quality AI features that scale across the organization.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.

Pay and Benefits

Salary: USD 200,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid LeaveParental LeaveEquity

Key Requirements

•7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end.
•3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation.
•Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale.
•Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations.
•Cloud infrastructure experience (AWS preferred) and comfort with the full production stack.

Experience:7+ years

Skills:CommunicationLeadershipProblem-solvingCollaborationStrategic thinking

Languages:English

Tech Stack:TypeScriptJavaScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQL

Company Brief

SecurityScorecard

Provides a cybersecurity ratings platform that continuously assesses and monitors organizations' and third-party vendors' security posture using external data and analytics to help enterprises manage risk, prioritize remediation, and inform vendor risk decisions.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn

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SecurityScorecard

3 months ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.

Pay and Benefits

Salary: USD 200,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid LeaveParental LeaveEquity

Key Requirements

•7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end.
•3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation.
•Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale.
•Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations.
•Cloud infrastructure experience (AWS preferred) and comfort with the full production stack.

Experience:7+ years

Skills:CommunicationLeadershipProblem-solvingCollaborationStrategic thinking

Languages:English

Tech Stack:TypeScriptJavaScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQL

Company Brief

SecurityScorecard

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn