Senior Product Manager, Intelligence
New
Remote-first flexibility across the United StatesFull-TimeSenior
Salary$180,000 – $215,000 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceMachine LearningProduct Management
Requirements
- 5+ years of product management experience in enterprise B2B SaaS environments.
- Proven track record of owning complex, data-intensive products from concept through delivery.
- Strong experience conducting structured customer discovery and translating insights into product strategy.
- Ability to simplify complex technical and domain-heavy problems without losing depth or accuracy.
- Comfortable working closely with engineering and ML teams in highly technical product environments.
- Experience leveraging AI tools to accelerate product discovery, prototyping, or development workflows.
- Strong communication skills with the ability to clearly articulate tradeoffs, strategy, and prioritization decisions.
- Familiarity with privacy, compliance, security, or data governance domains is a strong plus.
- Experience building or contributing to ML-powered or data intelligence products is highly valued.
Responsibilities
- Own the product strategy and roadmap for intelligence products including data mapping, privacy assessments, and risk management capabilities.
- Define and prioritize initiatives by balancing customer needs, business impact, technical feasibility, and AI-driven opportunities.
- Lead continuous customer discovery with privacy, legal, compliance, and security stakeholders in enterprise environments.
- Drive integration of AI and ML capabilities across the product suite to improve automation, insight generation, and decision-making.
- Partner with engineering, design, and ML teams from problem definition through delivery and iteration.
- Develop and track product success metrics tied to adoption, engagement, and risk reduction outcomes.
- Collaborate with product marketing and customer success to support positioning, enablement, and product adoption.
- Build rapid prototypes using AI tools to validate ideas and accelerate execution before engineering investment.
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