Product Manager, AI Enablement

Summary

Pindrop is an identity trust platform that provides real-time identity verification and deepfake detection across voice, video, and digital interactions. The Product Manager, AI Enablement will lead AI product operations, build internal AI tools and workflows, establish responsible AI governance, and drive adoption across business functions.

Responsibilities

• Define and lead the AI product operations strategy for Product business functions- HR, Finance, Marketing and adjacent teams-, including workflow redesign, tooling strategy, and operating mechanisms
• Identify the highest-value opportunities where AI can improve how these functions plan, execute, report, prototyping, and business decision-making
• Build and manage a portfolio of internal AI tools, copilots, and agentic workflows to improve speed, quality, and scalability
• Extend Pindrop’s shared AI platform common tooling, context, and agent infrastructure for new use cases rather than standing up parallel stacks
• Create the operating process that moves AI concepts from prototype to production, including evaluation, human-in-the-loop review, rollout criteria, and post-launch monitoring
• Partner with function leaders / stakeholders and their teams to translate ambiguous goals into clear workflows and measurable outcomes
• Establish practical governance and guardrails for AI-enabled work, including data handling, approvals, and quality standards
• Drive adoption through enablement — documenting best practices, building onboarding paths, running workshops, and coaching early adopters

Skills

• * 3+ Years Tech Experience: Background in product management, technical operations, enablement, or customer-facing roles within technology companies
• * 2+ Years Hands-on Experience: Designing, evaluating, or operationalizing AI-driven workflows and tools in a professional environment
• * Product & Operating-Model Mastery: Demonstrated ability to execute discovery with non-technical stakeholders, translate operational pain points into shippable scope, and link implementations to business outcomes
• * Hands-On AI Technical Fluency: Direct experience writing, stress-testing, and refining prompts, as well as applying agentic workflows, evaluation concepts, and rapid prototyping tools
• * Cross-Functional Workflow Transformation: Proven track record of leading programs that fundamentally change how business teams (e.g., HR, Finance, Marketing, Sales) work
• * Communication & Technical Enablement: Ability to teach, document, and facilitate adoption across both technical engineering teams and non-technical business partners
• * Data-Driven Impact Measurement: Analytical capability to establish baselines, track usage telemetry, and measure ROI through defined KPIs
• * Enterprise AI & Architecture Depth: Practical knowledge of RAG patterns, LLM output evaluation, hallucination mitigation, release gating, and feature monitoring
• * Governance & Data Security: Experience with enterprise AI acceptable-use policies, data-handling guardrails, and workforce governance
• * Scale & Systems Expertise: Background in high-growth B2B SaaS/AI-native environments and familiarity with core HR, Finance, or Marketing software ecosystems
• * Zero-to-One Program Building: Track record of building enablement content, use-case libraries, and office-hours programs from scratch

Qualifications

Must Haves

• * 3+ Years Tech Experience: Background in product management, technical operations, enablement, or customer-facing roles within technology companies
• * 2+ Years Hands-on Experience: Designing, evaluating, or operationalizing AI-driven workflows and tools in a professional environment
• * Product & Operating-Model Mastery: Demonstrated ability to execute discovery with non-technical stakeholders, translate operational pain points into shippable scope, and link implementations to business outcomes
• * Hands-On AI Technical Fluency: Direct experience writing, stress-testing, and refining prompts, as well as applying agentic workflows, evaluation concepts, and rapid prototyping tools
• * Cross-Functional Workflow Transformation: Proven track record of leading programs that fundamentally change how business teams (e.g., HR, Finance, Marketing, Sales) work
• * Communication & Technical Enablement: Ability to teach, document, and facilitate adoption across both technical engineering teams and non-technical business partners
• * Data-Driven Impact Measurement: Analytical capability to establish baselines, track usage telemetry, and measure ROI through defined KPIs

Nice to Haves

• * Enterprise AI & Architecture Depth: Practical knowledge of RAG patterns, LLM output evaluation, hallucination mitigation, release gating, and feature monitoring
• * Governance & Data Security: Experience with enterprise AI acceptable-use policies, data-handling guardrails, and workforce governance
• * Scale & Systems Expertise: Background in high-growth B2B SaaS/AI-native environments and familiarity with core HR, Finance, or Marketing software ecosystems
• * Zero-to-One Program Building: Track record of building enablement content, use-case libraries, and office-hours programs from scratch

Benefits

• Restricted Stock Units (RSUs) for all employees
• Remote-first environment with flexibility and autonomy in how you structure your day
• Regular team on-sites, company-wide events, and intentional gatherings
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans, including one employer-paid employee-only plan
• Best-in-class Health Savings Account (HSA) employer contribution
• Low-cost vision and dental plans for you and your family
• Paid Parental Leave, including for birth, adoptive, and foster parents
• One year of diaper delivery for your newest addition to the family
• Recurring monthly phone and internet allowance
• Enhanced fertility and GLP-1 benefits
• Annual Learning & Development stipend for professional growth, skill-building, certifications, and continued education