SecurityScorecard

1 month ago

Senior/Principal Product Manager, AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

A senior product leader owning high-impact AI-driven initiatives across the SecurityScorecard platform. Leads product strategy, coordinates with engineering, data, AI, and security teams, and defines agentic AI workflows and automation to reduce manual effort, while guiding PM practice and ensuring measurable customer value.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision, strategy, and roadmap for a major product area, driving alignment across engineering, design, data, and business stakeholders.
•Define, prioritize, and deliver customer-facing features and platform capabilities, balancing short-term execution with long-term strategic positioning.
•Lead the design and delivery of agentic AI workflows — including human-in-the-loop systems, autonomous task execution, and AI-assisted decision-making — that meaningfully reduce manual effort for customers and internal teams.
•Partner with AI engineering to define agent behavior, escalation logic, output quality standards, and evaluation frameworks; treat AI pipelines as products that require iteration, not one-time launches.
•Identify opportunities to embed intelligent automation into existing workflows, working backward from customer pain points to determine where agentic systems create the most leverage.

Pay and Benefits

Salary: USD 175,000 - 285,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityPaid LeaveParential Leave

Key Requirements

•8+ years of product management experience in a B2B SaaS environment, with a track record of owning and shipping significant products or platforms.
•Demonstrated experience defining and delivering AI-powered product features — including agentic workflows, LLM integration, or intelligent automation — with clear ownership over outcomes.
•Strong technical fluency: comfortable discussing system design, APIs, data models, AI pipelines, and product architecture with engineers and able to make informed tradeoff decisions.
•Proven ability to set direction, align stakeholders, and drive outcomes at a senior level without relying on direct authority.
•Data-driven decision maker with experience defining product metrics and using them to guide strategy and prioritization.

Experience:8+ yearsAISaaSCybersecurity

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:APIsLLMAIData modelsMachine learning

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

1 month ago

Senior/Principal Product Manager, AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision, strategy, and roadmap for a major product area, driving alignment across engineering, design, data, and business stakeholders.
•Define, prioritize, and deliver customer-facing features and platform capabilities, balancing short-term execution with long-term strategic positioning.
•Lead the design and delivery of agentic AI workflows — including human-in-the-loop systems, autonomous task execution, and AI-assisted decision-making — that meaningfully reduce manual effort for customers and internal teams.
•Partner with AI engineering to define agent behavior, escalation logic, output quality standards, and evaluation frameworks; treat AI pipelines as products that require iteration, not one-time launches.
•Identify opportunities to embed intelligent automation into existing workflows, working backward from customer pain points to determine where agentic systems create the most leverage.

Pay and Benefits

Salary: USD 175,000 - 285,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityPaid LeaveParential Leave

Key Requirements

•8+ years of product management experience in a B2B SaaS environment, with a track record of owning and shipping significant products or platforms.
•Demonstrated experience defining and delivering AI-powered product features — including agentic workflows, LLM integration, or intelligent automation — with clear ownership over outcomes.
•Strong technical fluency: comfortable discussing system design, APIs, data models, AI pipelines, and product architecture with engineers and able to make informed tradeoff decisions.
•Proven ability to set direction, align stakeholders, and drive outcomes at a senior level without relying on direct authority.
•Data-driven decision maker with experience defining product metrics and using them to guide strategy and prioritization.

Experience:8+ yearsAISaaSCybersecurity

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:APIsLLMAIData modelsMachine learning

Company Brief

SecurityScorecard

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: New York, United States

Founded: 2013

Website LinkedIn