Product Manager, AI

US - Remotefull timeRemote

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mid

$150k–$190k

H1B: no

Synack Product Manager, AI at Synack leads strategy and execution for the Sara AI product suite, focusing on AI-powered security solutions. The role collaborates cross-functionally to align product roadmap with business goals and drives go-to-market enablement.

Responsibilities

Drive Vision & Strategy: Lead the strategy, roadmap, and product requirements for the Sara AI product suite, translating business objectives and market insights into high-impact AI security features.
Partner Cross-Functionally: Collaborate with external customers, partners, sales, and executive leadership to align the Sara AI product roadmap with overarching business goals and market opportunities.
Elevate Engineering Alignment: Partner closely with engineering leadership to drive execution velocity, balance technical trade-offs, and maintain momentum across multiple delivery teams.
Enable Go-to-Market (GTM): Empower customer success, account teams, and sales by providing product enablement, clear value positioning, and collateral in partnership with Product Marketing.
Be Data-Driven: Monitor product adoption, AI model efficacy, and key performance metrics to proactively identify growth opportunities and drive continuous product uptake.
Market & Analyst Engagement: Serve as a subject matter expert alongside Marketing to represent Sara AI to industry analysts, customers, and the broader cybersecurity community.

Qualification

Understand the LandscapeExperienceAI & Technical ProficiencyProven LeadershipStartup AgilityStrategic CommunicationEducation

Required

Understand the Landscape: Maintain a deep understanding of the AI and cybersecurity markets, competitive offerings, and emerging security research trends.
Experience: 5+ years of dedicated Product Management experience, with a proven track record of owning product roadmaps, driving strategy, and shipping impactful B2B SaaS or cybersecurity products.
AI & Technical Proficiency: Hands-on experience deploying AI-driven features or products. Demonstrated technical literacy in managing model trade-offs, AI trust/safety, and the strategic oversight required for secure, scalable AI adoption.
Proven Leadership: Strong ability to influence, motivate, and align cross-functional teams and senior internal and external stakeholders.
Startup Agility: Demonstrated success navigating fast-paced, dynamic environments while maintaining a strong bias for action.
Strategic Communication: Outstanding verbal and written communication skills with the ability to bridge complex technical concepts for non-technical stakeholders and executive leadership.
Education: BA/BS Degree in Computer Science, engineering, or a related technical field (or equivalent practical experience). An MBA is a plus.