Technical AI/ML Product Manager

We are seeking a high-impact Technical Product Manager to lead the evolution of AIApply’s core machine learning engines. You will bridge the gap between complex AI research and user-centric features, directly influencing how millions of job seekers utilize LLMs to automate their career growth.

Responsibilities

We’re looking for a highly technical, deeply analytical AI/ML Product Manager to own AIApply’s matching and job intelligence systems.

This is not a “roadmap PM” role.

You’ll sit directly between product, data, infrastructure, growth, and ML systems — shipping improvements that materially increase:

* interview rates
* application quality
* match relevance
* successful hires

You should be equally comfortable:

* discussing ranking systems and embeddings
* designing experiments
* reading SQL/PostHog dashboards
* defining eval frameworks
* manually QAing recommendations
* prototyping ideas fast with engineering

We care about outcomes, not AI theatre.

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What You’ll Own

Matching & Ranking Systems

Improve how users are matched to jobs using:

* embeddings
* retrieval systems
* ranking pipelines
* personalization layers
* behavioral feedback loops
* interview outcome reinforcement

Qualifications

The ideal candidate has a strong technical background in Large Language Models (LLMs) and a proven track record of shipping AI-powered consumer or SaaS products. You should be comfortable navigating the trade-offs between model latency, cost, and output quality.

Required

- 4+ years of experience in Product Management, specifically within AI/ML or highly technical SaaS environments.
- Deep understanding of the LLM landscape, including RAG (Retrieval-Augmented Generation), embedding models, and API orchestration.
- Proficiency in data analysis using SQL and Python to drive product decisions.
- Strong architectural intuition with the ability to discuss API design and model deployment scales with engineering leads.
- Excellent communication skills with the ability to explain 'black box' AI logic to non-technical stakeholders.
- Experience in a fast-paced startup environment where rapid iteration and shipping are prioritized.

Skills

• LLMs
• Prompt Engineering
• Product Strategy
• Python
• Machine Learning
• Agile Methodology
• Data Analysis
• A/B Testing

Benefits

• Competitive salary and equity package
• Remote-first culture with flexible hours
• Annual learning & development stipend
• Home office setup budget
• Premium health, dental, and vision insurance
• Unlimited PTO policy
• Collaborative environment at the forefront of AI innovation