Note: The job is a remote job and is open to candidates in USA. SecurityScorecard is the global leader in cybersecurity ratings, continuously rating over 12 million companies. The Principal Product Manager will drive high-impact product initiatives across the platform, focusing on strategy, execution, and delivering measurable value to customers while collaborating across product, engineering, data, and AI.
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
- Work directly with customers, customer-facing teams, and external partners to deeply understand problems, validate solutions, and shape joint outcomes
- Collaborate with data, security, privacy, and legal teams to ensure product decisions comply with regulatory, contractual, and internal governance requirements
- Define and track success metrics — adoption, reliability, quality, efficiency gains — and use those insights to guide prioritization and communicate progress to leadership
- Operate as a product leader: influence without authority, drive clarity in ambiguous situations, and help other PMs on the team grow through pairing, feedback, and example
- Create and maintain documentation, guidelines, and best practices that scale knowledge across product and engineering teams
Skills
- 8+ years of product management experience, with a track record of owning and shipping significant products or platforms in a B2B SaaS environment
- Demonstrated experience defining and delivering AI-powered product features — including agentic workflows, LLM integration, or intelligent automation — with clear ownership over outcomes, not just requirements
- 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
- Excellent communication skills, with the ability to clearly articulate complex technical and strategic concepts to both technical and non-technical audiences, including executive leadership
- Experience working in or adjacent to cybersecurity, compliance, or risk management is preferred
- Prior experience mentoring PMs or contributing to the growth of a product organization is a plus
Benefits
- Stock options
- Health benefits
- Unlimited PTO
- Parental leave
- Tuition reimbursements
- Annual performance-based incentive compensation awards
- Equity
Company Overview