Senior/Principal Product Manager, AI

SecurityScorecard•Boston, MA

7h•$175,000 - $285,000

About The Position

We are looking for a Principal Product Manager to own high-impact product initiatives across SecurityScorecard's platform, driving the strategy, execution, and continuous evolution of capabilities that deliver measurable value to our customers. This role sits at the intersection of product, engineering, data, and AI and is expected to operate with a high degree of autonomy, setting direction as much as following it. At SecurityScorecard we put our users first, strategically drive our decisions with data, and operate as a unit. We are customer obsessed and always seek to drive excellence, both in ourselves and others. As a Principal Product Manager at SecurityScorecard, you will work cross-functionally to guide products from conception to launch by connecting the security and business worlds. You can break down complex problems into steps that drive product development at both speed and scale. You understand that it is your job to align roadmap planning with key metrics and KPIs, and you critically focus on creating customer value based on data as well as a strong understanding of the user journey. At the principal level, you will also be expected to help elevate the PM practice, shaping how we think about product problems, and influencing beyond your immediate scope. You will be a leader in our mission to help the world instantly and non-intrusively measure, collaborate, and reduce the cyber-risk of any company in the world.

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.