Product Manager, AI Enablement

Summary

Pindrop is an AI-native identity trust and security company focused on identity verification and deepfake detection across voice, video, and digital interactions. The Product Manager, AI Enablement will own internal AI products and workflows across business functions, mapping processes, building and deploying agentic solutions, measuring ROI, and driving adoption through enablement programs.

Responsibilities

• Map processes before touching AI. Sit with stakeholders, document current-state workflows end to end, extract the context and tools involved, and identify precisely where AI can reduce friction - not the other way around
• Build and manage a portfolio of internal AI tools, agentic workflows, and prompt-based copilots that solve discrete, measurable problems - and push every project past prototype into production
• Audit AI capabilities already built into tools Pindrop has purchased before standing up new solutions; use what we've paid for first
• Extend Pindrop's shared AI platform and agent infrastructure to new use cases rather than creating parallel stacks
• Design and implement the operating process that moves AI concepts from prototype to production, including evaluation, human-in-the-loop review, rollout criteria, and post-launch monitoring
• Consolidate learnings across functions - what worked in Finance should be usable in People; what worked in People should be accessible to CS - and build the tooling and documentation that makes reuse real
• Make the ROI case. Define success metrics, instrument usage, track adoption, and be able to explain clearly what the company is getting for its AI investment
• Drive adoption through practical enablement - workshops, onboarding paths, office hours, and coaching - focused on giving teams the guardrails they need to use AI well, not just permissively

Skills

• * A builder, not just a user. You've gone past prompting and into building - you have a GitHub (or equivalent) with projects that prove it
• * A builder, not just a user. You've gone past prompting and into building - you have a GitHub (or equivalent) with projects that prove it. You've shipped agentic systems that solve real problems, and you know how different it feels when the last 20% actually works
• * A process mapper first. Before you touch a tool, you understand the workflow. You can sit with a stakeholder, draw out what actually happens today, and find the leverage point because you know you can't automate a process you haven't mapped
• * Frontier-fluent and self-directed. You track what's happening at the edge of AI tooling because you're genuinely curious, not because it's required. You know the difference between AI theater and AI value, and you're allergic to the former
• * A translator and teacher. You can walk into a Finance or HR meeting without owning their domain and still build credibility through preparation, curiosity, and practical results. You get energy from turning a skeptic into a confident user
• * Rigorously skeptical. You stress-test outputs, understand where models break down, and hold a high bar before recommending a workflow to a real team. You know what an eval is and why it matters
• * Process mapping. You must be able to document a current-state workflow end to end, extract the tools and context involved, and use that map as the foundation for any AI solution
• * 3+ years in product management, product operations, AI enablement, or a closely related role at a technology company with PM-level ownership of scope, requirements, delivery, and metrics
• * Hands-on experience with frontier AI CLIs and coding tools, including Codex, Claude Code, Anti-Gravity, and/or SuperGrok. We will ask to see what you've built
• * Demonstrated ability to build agentic systems that solve a discrete, measurable problem - not a demo, a shipped solution
• * A GitHub profile showing 3-4 built projects is a strong signal; candidates without one will be asked to walk through their work in detail
• * Fluency in context engineering and ontology design; ability to speak to both concepts and apply them in practice
• * Conceptual command of test-driven development and eval-driven development for AI systems; must understand why evals matter and how to define them, even if you're not writing them by hand
• * Proven ability to define success metrics, track adoption, and make the ROI case for AI investments to a skeptical stakeholder
• **Travel:** This US-based position, requires at least 6 trips per year for team on-sites, cross-functional workshops, and company events
• * Experience with meta harnesses and multi-agent orchestration frameworks
• * Familiarity with RAG patterns, LLM output evaluation, hallucination mitigation, and release gating in enterprise contexts
• * Exposure to AI acceptable-use policies, data-handling guardrails, or workforce governance frameworks
• * Background in high-growth, AI-native, or B2B SaaS environments where technology is advancing faster than organizational absorption
• * Experience building enablement content, use-case libraries, or office-hours programs from a blank page

Qualifications

Must Haves

• * A builder, not just a user. You've gone past prompting and into building - you have a GitHub (or equivalent) with projects that prove it
• * A builder, not just a user. You've gone past prompting and into building - you have a GitHub (or equivalent) with projects that prove it. You've shipped agentic systems that solve real problems, and you know how different it feels when the last 20% actually works
• * A process mapper first. Before you touch a tool, you understand the workflow. You can sit with a stakeholder, draw out what actually happens today, and find the leverage point because you know you can't automate a process you haven't mapped
• * Frontier-fluent and self-directed. You track what's happening at the edge of AI tooling because you're genuinely curious, not because it's required. You know the difference between AI theater and AI value, and you're allergic to the former
• * A translator and teacher. You can walk into a Finance or HR meeting without owning their domain and still build credibility through preparation, curiosity, and practical results. You get energy from turning a skeptic into a confident user
• * Rigorously skeptical. You stress-test outputs, understand where models break down, and hold a high bar before recommending a workflow to a real team. You know what an eval is and why it matters
• * Process mapping. You must be able to document a current-state workflow end to end, extract the tools and context involved, and use that map as the foundation for any AI solution
• * 3+ years in product management, product operations, AI enablement, or a closely related role at a technology company with PM-level ownership of scope, requirements, delivery, and metrics
• * Hands-on experience with frontier AI CLIs and coding tools, including Codex, Claude Code, Anti-Gravity, and/or SuperGrok. We will ask to see what you've built
• * Demonstrated ability to build agentic systems that solve a discrete, measurable problem - not a demo, a shipped solution
• * A GitHub profile showing 3-4 built projects is a strong signal; candidates without one will be asked to walk through their work in detail
• * Fluency in context engineering and ontology design; ability to speak to both concepts and apply them in practice
• * Conceptual command of test-driven development and eval-driven development for AI systems; must understand why evals matter and how to define them, even if you're not writing them by hand
• * Proven ability to define success metrics, track adoption, and make the ROI case for AI investments to a skeptical stakeholder
• **Travel:** This US-based position, requires at least 6 trips per year for team on-sites, cross-functional workshops, and company events

Nice to Haves

• * Experience with meta harnesses and multi-agent orchestration frameworks
• * Familiarity with RAG patterns, LLM output evaluation, hallucination mitigation, and release gating in enterprise contexts
• * Exposure to AI acceptable-use policies, data-handling guardrails, or workforce governance frameworks
• * Background in high-growth, AI-native, or B2B SaaS environments where technology is advancing faster than organizational absorption
• * Experience building enablement content, use-case libraries, or office-hours programs from a blank page

Benefits

• Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
• Remote-first environment - giving you flexibility and autonomy in how you structure your day.
• Regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success.
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from - 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, providing comprehensive coverage and peace of mind.
• Paid Parental Leave - Including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family!
• Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work.
• Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs.
• Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.