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: 11 hours agoStatus: Live

Job Summary

Lead end-to-end AI-driven product initiatives, architect AI systems and pipelines, and establish engineering standards for AI at SecurityScorecard. Drive fast, high-quality AI features from concept to production, collaborating with product leadership and the CTO to shape the AI roadmap, while maintaining ownership across the full engineering lifecycle.

Location: Canada

Workplace: Remote

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
•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

Pay and Benefits

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
•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

Experience:7+ yearsCybersecuritySaaS

Skills:Communication

Languages:English

Tech Stack:TypeScriptJavaScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQLCursorClaude Code

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: 11 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

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
•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

Pay and Benefits

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
•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

Experience:7+ yearsCybersecuritySaaS

Skills:Communication

Languages:English

Tech Stack:TypeScriptJavaScriptGoAWSDockerKubernetesTerraformClickHousePostgreSQLCursorClaude Code

Company Brief

SecurityScorecard

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn