Principal Product Manager, AI - People & Places

Amplitude
San Francisco, CA$200k – $301kPosted 12 March 2026

Job Description

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role We’re building a People team powered by AI — not just augmented by it. This new role embeds an AI practitioner directly inside the People Places function to design, deploy, and scale AI agents that take on high-volume tactical work, freeing the team to focus on what only humans can do. This is not a traditional PM role: there’s no external roadmap, no feature backlog. You’ll partner across Talent, Total Rewards, HRBPs, LD, and People Ops to find the highest-impact opportunities, then build and ship them. What You’ll Do Map and audit People team processes to identify AI-ready opportunities; maintain a prioritized backlog from quick wins to longer-horizon initiatives. Evaluate existing HR tech (Workday, Greenhouse, etc.) for underutilized AI capabilities before building new. Design and deploy AI agents and automations — defining workflow logic, decision rules, and guardrails for sensitive HR contexts. Own end-to-end rollout: requirements, testing, change management, adoption, and iteration. Serve as the People team’s strategic AI advisor — translating market possibilities into practical, impactful solutions. Define and track success metrics (time saved, error reduction, adoption) and build feedback loops for continuous improvement. What We’re Looking For 5+ years in product management, with meaningful experience inside or directly supporting an HR / People Operations environment. Hands-on experience scoping and deploying AI or automation in HR contexts (onboarding agents, self-service bots, compensation tools, etc.). Familiarity with modern HR tech stacks (ATS, HRIS, LMS) and their native AI capabilities. Experience with AI/LLM tools — no-code platforms, API-based solutions, or prompt-driven agents — and translating them into real workflows. Able to write real code (Python, JavaScript, or similar) — not just prompt your way through a problem. You can read a diff, debug a broken script, and build a working prototype without an engineer holding your hand. Strong ability to earn trust with non-technical stakeholders and translate operational pain into clear product requirements. Bias for action, comfort with ambiguity, and good judgment about where AI should and shouldn’t operate in people processes. Built conversational AI agents for HR use cases (onboarding assistants, policy QA bots, manager coaching tools). Experience with agentic frameworks — n8n, Zapier, LangChain, Claude, or similar. Bonus Points Navigated compliance and data privacy in HR AI contexts (EEOC, GDPR, SOC 2). Built agents or automations for international / multi-region environments — with hands-on appreciation for what that entails: data residency requirements, local labor law variation, multi-language support, regional HR system differences, and the cultural nuances that make a one-size-fits-all workflow f ... (truncated, view full listing at source)
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