AI product manager with 6 years in product, the last 3 shipping LLM-powered features in customer support software. Launched an AI reply assistant that now drafts 45% of agent responses and cut handle time by 28%. Strong on evaluation design, model tradeoffs, guardrails and measuring real customer value.
Experience
AI Product Manager, Helpdeck (San Francisco, CA)
Feb 2023 – Present
Launched an LLM reply assistant now drafting 45% of agent responses and cutting average handle time by 28%
Built an offline evaluation set of 3,000 labeled tickets with ML engineers to gate model releases
Defined guardrails for PII redaction and hallucination checks, keeping flagged replies under 0.5%
Balanced cost and latency across model providers, cutting inference spend per ticket by 40%
Owned chatbot and help center, raising self-service containment from 22% to 37%
Ran intent taxonomy redesign with support operations across 1.5M monthly contacts
Shipped article recommendations powered by search relevance tuning
Education
BS, Computer Science and Business Administration, University of Southern California (Aug 2016 – May 2020)
Skills
AI product: LLM features, RAG, evaluation design, guardrails, human-in-the-loop
Technical: prompt design, model selection, embeddings, Python basics, SQL
Metrics: handle time, containment, acceptance rate, cost per inference
Governance: PII handling, responsible AI reviews, SOC 2
How to write a AI Product Manager resume
A strong AI Product Manager resume shows the problems you framed, the decisions you drove, and the user or business outcomes they produced. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Summary: Lead with your leadership scope and the business outcomes you are known for.
Skills to feature
User research
Product strategy
Prototyping
Figma
Design systems
Usability testing
Roadmapping
Experimentation (A/B testing)
Stakeholder management
Accessibility
Example bullet points
Redesigned onboarding from 9 steps to 4, lifting week-one activation from 31% to 44%
Built a 120-component design system adopted by 5 squads, halving UI build time for new features
Ran 40 user interviews and a pricing test that informed a packaging change worth $1.2M ARR
Tips from recruiters
Put a portfolio link in the header; for product roles, link a case study or launch write-up instead.
Describe your role in shared outcomes precisely ("led", "co-owned", "contributed").
Keep visuals for the portfolio: a clean, readable resume signals design judgement better than decoration.
Recommended templates
Modern (ATS-friendly): Clean single column with accent headings and rules
Timeline (ATS-friendly): Clean accent layout with a dated career timeline
Vanguard (ATS-friendly): Bold display name, accent-led headings with line rules
AI Product Manager resume FAQ
What should a AI Product Manager resume include?
A AI Product Manager resume should show the problems you framed, the decisions you drove, and the user or business outcomes they produced. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
What is the best resume template for a AI Product Manager?
Modern, Timeline and Vanguard work well for AI Product Manager roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a AI Product Manager resume be?
Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Which skills should a AI Product Manager put on a resume?
Prioritize the skills named in the job posting. Common ones for AI Product Manager roles are User research, Product strategy, Prototyping, Figma, Design systems and Usability testing.
How do I write strong AI Product Manager resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as activation, conversion and retention. For example: "Redesigned onboarding from 9 steps to 4, lifting week-one activation from 31% to 44%."