Senior/Principal Product Manager, AI

SecurityScorecard•San Francisco, CA

About The Position

SecurityScorecard is seeking a Principal Product Manager to lead high-impact product initiatives across its platform. This role is crucial for driving the strategy, execution, and evolution of capabilities that deliver significant value to customers. Operating at the intersection of product, engineering, data, and AI, the individual will work with a high degree of autonomy. The company emphasizes a user-first approach, data-driven decisions, and a commitment to excellence. The Principal Product Manager will guide products from conception to launch, bridging the security and business domains. They will be adept at breaking down complex problems, aligning roadmap planning with key metrics and KPIs, and focusing on creating customer value through data and a deep understanding of the user journey. At the principal level, this role also involves elevating the Product Management practice, shaping product thinking, and influencing beyond immediate responsibilities. The ultimate mission is to help the world instantly and non-intrusively measure, collaborate, and reduce cyber-risk.

Requirements

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.

Nice To Haves

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.

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.