AI Product Manager

Lockedinai; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity in early-stage company

Impact on a product used by millions

Remote-first culture with optional NYC co-working

Growth opportunities in a fast-paced environment

Job summary

A leading AI career platform in New York City seeks an AI Product Manager to define the vision and strategy for their AI-powered features. This role demands deep understanding of AI capabilities, user empathy, and data-driven decision-making. With responsibilities ranging from product lifecycle management to coordinating cross-functional teams, the ideal candidate will impact over 1 million users. Join us in revolutionizing career preparation through innovative AI solutions.

Qualifications

• 3+ years of experience in product management.
• Experience managing AI/ML-powered products or features.
• Hands-on experience with product metrics and A/B testing.

Responsibilities

• Define and own the product vision and strategy.
• Lead end-to-end product development lifecycle.
• Drive user research and feedback to guide product decisions.

Skills

AI/ML understanding

Data-driven decision making

User empathy

Communication

Agile methodologies

Education

Bachelor’s degree in Computer Science or related field

Tools

Amplitude

SQL

Jira

Job description

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

About LockedIn AI

LockedIn 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 LockedIn 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 LockedIn 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 reporting that give clear visibility into how AI features are performing and where to invest next
• Track and optimize AI cost efficiency — including token usage, model selection, and inference costs — balancing performance with sustainable unit economics

Stakeholder Communication & Go-to-Market

• Serve as the primary product voice for AI features — communicating roadmap, priorities, tradeoffs, and results to co-founders, investors, marketing, and the broader team
• Partner with marketing and growth teams to develop go-to-market strategies for new AI features, ensuring product positioning highlights differentiated value
• Translate complex AI capabilities into clear, compelling narratives that resonate with users, stakeholders, and the market
• Manage stakeholder expectations around AI capabilities and limitations — setting realistic timelines and communicating the iterative nature of AI product development

Responsible AI & User Trust

• Ensure all AI features comply with LockedIn AI’s privacy-first design philosophy and user data protection standards
• Champion responsible AI practices throughout the product lifecycle — proactively addressing bias, fairness, transparency, and safety in AI-driven features
• Stay current on emerging AI regulations, ethical frameworks, and industry best practices relevant to AI-assisted career tools
• Build user trust by ensuring AI features are transparent, explainable, and designed with appropriate safeguards and fallback mechanisms

Required Qualifications

Experience

• 3+ years of experience in product management, with at least 1+ years managing AI/ML-powered products or features in production environments
• Demonstrated experience shipping AI features end-to-end — from problem definition and requirements gathering through launch and post-launch iteration
• Hands-on experience defining product metrics, running A/B tests, and using data to drive product decisions in AI-driven or data-intensive products
• Experience working cross-functionally with engineering, data science, design, and business teams to deliver complex technical products
• Startup or high-growth environment experience preferred — comfort working in ambiguity, moving fast, and owning multiple workstreams

Education

• Bachelor’s degree in Computer Science, Business, Engineering, Data Science, or a related field.
• MBA or advanced technical degree is a plus but not required — we value demonstrated product sense and shipping track record over credentials.

Technical & Domain Skills

• Strong understanding of AI/ML concepts — including how LLMs, NLP models, and speech-to-text systems work, their capabilities, limitations, and failure modes
• Experience writing product requirements that account for AI-specific considerations: model accuracy thresholds, confidence scoring, fallback behavior, latency budgets, and data dependencies
• Proficiency with product analytics and experimentation tools (Amplitude, Mixpanel, Looker, or similar) and comfort working with SQL and data to answer product questions
• Familiarity with AI evaluation concepts — including model quality metrics, hallucination detection, prompt engineering, and retrieval-augmented generation (RAG)
• Working knowledge of agile development methodologies, product management tools (Jira, Linear, Notion), and design collaboration tools (Figma)

Strategic & Soft Skills

• Product-first mindset: you start with the user problem and work backward to the technology, not the other way around
• Strong written and verbal communication — you can write clear PRDs, present product strategy to leadership, and explain AI tradeoffs to non-technical stakeholders
• Decisive under ambiguity: you thrive in fast-moving environments where perfect information doesn’t exist and can make high-quality decisions with incomplete data
• Collaborative leadership: you influence without authority, build trust across teams, and rally cross-functional groups around a shared product vision

Preferred Qualifications

• Experience managing real-time AI products, conversational AI, speech-to-text features, or latency-critical user experiences
• Background in consumer-facing AI products with large user bases (100K+ users)
• Experience with AI cost optimization, model routing decisions, and multi-provider LLM strategies
• Familiarity with agentic AI workflows, AI copilot design patterns, or multi-model orchestration
• Experience in the career tech, edtech, or SaaS B2C space
• Published product thinking — blog posts, case studies, talks, or frameworks shared with the product community
• Prior startup founding or early employee experience (Seed to Series A stage)

What We Offer

Equity

Meaningful early-stage equity — be a true co-owner of what we're building

Impact

Your work directly powers a product used by 1M+ people worldwide

Team

Join a lean, ambitious team where every individual matters

Flexibility

Remote-first culture with optional co-working in New York City

Growth

Be part of a bootstrapped rocket ship approaching its next growth phase

Culture

User-obsessed, feedback-driven, and built for speed

Why Join LockedIn AI?

Category-defining product

We pioneered the dual-layer AI copilot + human assist model for interviews — no one else has it.

Massive market

The AI career tools space is exploding, and we’re the #1 rated platform with 1M+ users.

Own the product

As our AI Product Manager, you’ll define what gets built, why it gets built, and how success is measured — with direct impact on millions of users.

Work at the frontier of applied AI, shaping products powered by the latest models and technologies.

Ship fast, learn fast

Product decisions move at startup speed — you’ll ship more in a month here than a quarter at a big company.

• Any relevant portfolio work, GitHub repos, or technical writing (optional but encouraged)

LockedIn AI is committed to building a diverse and inclusive team. We welcome applicants of all backgrounds, identities, and experiences. Employment decisions are made based on merit, qualifications, and business needs.