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AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Lockedinai
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

Remote (US-Based)
· Optional hybrid in New York, NY

About Locked In AI

Locked In AI is the #1 real-time AI interview and meeting copilot, trusted by over one million users worldwide. We are a fast-growing company building the most advanced career preparation platform on the market.

Our platform delivers real-time, AI-powered assistance during live job interviews, coding assessments, and professional meetings — helping candidates communicate with clarity, confidence, and competence.

Role Overview

We are looking for a strategic, user-obsessed AI Product Manager to own the vision, roadmap, and execution of AI-powered features and products at Locked In AI. This is a high-ownership role — you will define what we build, why we build it, and how we measure success.

You will bridge the gap between cutting-edge AI capabilities and real user needs, turning complex technology into intuitive product experiences for over 1 million users. Your scope spans the full product lifecycle — from identifying opportunities and defining requirements, to working with engineering and data science teams to ship AI features, to analyzing post-launch performance and iterating based on real-world data.

The ideal AI Product Manager understands both the possibilities and limitations of AI. You know when a problem calls for an LLM, when it calls for a simpler rule-based approach, and when the best solution is better UX, not more AI. You are data-driven, deeply empathetic to user needs, and relentless about shipping products that move the needle.

Key Responsibilities
  • Define and own the product vision and strategy for Locked In AI’s AI-powered features, ensuring alignment with company objectives, market opportunities, and user needs
  • Develop and maintain a prioritized product roadmap that balances short-term wins with long-term strategic bets — making tough tradeoffs between business value, user impact, and technical feasibility
  • Conduct ongoing market research, competitive analysis, and user research to identify opportunities where AI can create differentiated value for job seekers and professionals
  • Translate high-level business goals into clear, actionable product requirements and success metrics that engineering, data science, and design teams can execute against
AI Feature Development & Cross-Functional Execution
  • Lead the end-to-end product development lifecycle for AI features — from discovery and ideation through design, development, testing, launch, and iteration
  • Collaborate closely with engineering, data science, and research teams to define AI feature specifications, ensuring requirements account for model capabilities, data dependencies, latency constraints, and edge cases
  • Work with design and UX teams to translate complex AI functionality into intuitive, trustworthy user experiences — managing the unique challenges of probabilistic, non-deterministic AI outputs
  • Coordinate cross-functional execution across engineering, design, QA, marketing, and operations to ship AI features on time and with high quality
User Research, Feedback & Experimentation
  • Drive a deep understanding of user needs, pain points, and behaviors through qualitative research (interviews, usability tests, support tickets) and quantitative analysis (product analytics, behavioral data)
  • Define and run experiments (A/B tests, feature rollouts, holdback tests) to validate hypotheses, measure feature impact, and make data-driven product decisions
  • Build and maintain feedback loops that capture user reactions to AI features — including satisfaction signals, error reports, and feature requests — and translate them into prioritized improvements
  • Champion a culture of continuous experimentation, ensuring every major AI feature has a clear measurement plan and success criteria before launch
AI Performance & Product Analytics
  • Define KPIs and success metrics for every AI feature — including model accuracy, response quality, latency, user engagement, retention, and business impact
  • Monitor AI product performance post-launch, identifying quality regressions, user experience issues, and opportunities for optimization
  • Collaborate with data and analytics teams to build dashboards and…
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