Product Manager, AI Enablement

Pindrop; Atlanta (GA); On-site; USD 130,000 - 150,000; Full time

Job summary

Pindrop is recruiting an AI Enablement Product Manager to turn AI capabilities into practical internal workflows across Finance, RevOps, People, Recruiting, Customer Success, Marketing, and Legal. You will map processes, configure agentic solutions, and prove ROI as part of a centralized AI Operations function.

You’ll work with an existing AI practitioner, extend the AI platform, and drive adoption through enablement programs, workshops, and structured evals.

Qualifications

• Must be able to document a current-state workflow end to end with tools and context.
• 3+ years in product management, product operations, AI enablement, or related tech roles with PM ownership.
• Hands-on experience with frontier AI CLIs and coding tools (Codex, Claude Code, Anti-Gravity, SuperGrok).
• Proven ability to ship agentic systems that solve discrete, measurable problems.
• Fluency in context engineering and ontology design; ability to define evals and ROI.

Responsibilities

• Map processes with stakeholders, document workflows end-to-end, identify AI leverage points.
• Build and manage a portfolio of internal AI tools and prompt-based copilots.
• Audit existing AI capabilities in tools (Greenhouse, ERP) before creating new solutions.
• Extend shared AI platform and agent infrastructure to new use cases.
• Design operating processes from prototype to production with eval loops and monitoring.
• Consolidate learnings across functions and enable reuse with tooling and docs.
• Make the ROI case; define success metrics and track adoption.

Skills

Process mapping

Product management

AI enablement

Frontier AI CLIs

Agentic systems

Context engineering

Eval-driven development

ROI measurement

Stakeholder interviewing

Tools

GitHub

Greenhouse

ERP

Job description

Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time.

Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience.

Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG.

What you’ll do

Pindrop is an AI-native company - but outside of Product, Engineering, and Research, most teams are still figuring out how to use AI in ways that actually stick. This role fixes that.

As Product Manager, AI Enablement, you will own the product experience that turns Pindrop's AI capabilities into practical, repeatable workflows across Finance, RevOps, People, Recruiting, Customer Success, Marketing, and Legal. You are not an AI trainer or a help desk. You are a product manager whose users happen to be internal - and your job is to map their processes, identify the highest-value problems, build or configure the right agentic solutions, and prove the ROI.

You'll sit within the centralized AI Operations group and work alongside an existing AI practitioner already embedded in Product. The first 50% of your time will focus on Finance and RevOps; the rest goes where the highest-value problems are.

More specifically, you will:

• 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 (e.g., Greenhouse, ERP) 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.

Who you are

• 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.

Must-haves:

• Process mapping. This is the number-one requirement. 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. No map, no AI advantage.
• 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.

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.

What's in it for you

Most companies are building AI strategy. Pindrop is past that - we're building AI products for internal users who have real problems and real deadlines, and we need someone who can take that seriously.

This role puts you at the center of a hard and interesting problem: how do you move an organization from scattered AI experimentation to repeatable, measurable AI advantage? You'll have a direct line to the leaders whose teams you're serving, a peer already doing this work in Product, and the mandate to consolidate what's working into something the whole company can use.

Fair warning: the first 60 days will feel exhilarating - every function has problems you can help with. The next 60 will feel hard - because shipping the last 20% of an AI solution is where most people stop, and your job is to not stop. If that arc sounds energizing rather than discouraging, you're the right person.

You'll work alongside some of the sharpest technical and creative minds in AI, security, and voice intelligence. We operate with intense focus on execution, and we're a team that genuinely enjoys the work. If you want to build things that matter, teach others to use them, and help shape how a serious AI company operates - this is that opportunity.

Travel:

This role requires approximately 6 trips per year for team on-sites, cross-functional workshops, and company events.

Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.

US Base Pay Range : $130,000 USD - $150,000 USD

AI - A Transformative Force

At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine.

Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.