Product & Operations Lead

HireNow Staffing Inc; Los Angeles (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

A leading staffing firm in Los Angeles is seeking a Product & Operations Lead to oversee client relationships with advanced AI customers. The role involves translating technical requirements, managing data workflows, and improving customer operations. Candidates should have 1–3+ years in an AI/ML environment, technical experience with human data, and strong problem-solving skills. This position offers a hybrid work model and a competitive salary between $150,000 and $250,000, along with equity and benefits.

Qualifications

• 1–3+ years of experience in an AI/ML data company or related environment.
• Direct experience with human data used for AI model training.
• Strong understanding of ML data pipelines and technical requirements.

Responsibilities

• Own strategic customer relationships from onboarding to long-term partnership growth.
• Serve as a technical point of contact for advanced AI customers.
• Translate customer feedback into actionable internal briefs.

Skills

Relationship management

Technical communication

Problem-solving

AI/ML knowledge

Education

Technical degree in Computer Science, Engineering, Data Science, or Mathematics

Job description

Product & Operations Lead

Hybrid | Los Angeles, CA
Direct Hire / Permanent Placement

Overview

We are seeking a technically fluent, commercially strong operator who can work at the intersection of product, applied research, customer success, and revenue growth. This individual will serve as a primary relationship owner for advanced AI customers, translate sophisticated technical requirements internally, and help scale customer partnerships tied to frontier model development.

Key Responsibilities

• Own strategic customer relationships end-to-end, from onboarding through renewal, expansion, and long‑term partnership growth
• Serve as a trusted technical point of contact for advanced AI customers using data within model training and evaluation environments
• Understand customer data pipelines, workflow dependencies, annotation processes, and training stack requirements
• Translate customer feedback, use cases, and technical requests into structured internal briefs for Product, Engineering, and Operations teams
• Identify upsell, renewal, and expansion opportunities tied to new dataset demand or broader platform usage
• Support new business efforts including demos, technical scoping, proposals, and solution alignment
• Coordinate cross‑functionally to ensure timely delivery, customer satisfaction, and execution excellence
• Surface market intelligence, customer pain points, and product opportunities to leadership
• Improve repeatable customer operations processes in a fast‑scaling startup environment

Required Qualifications (Highly Important)

• 1–3+ years of experience within an AI/ML data company, human data provider, AI infrastructure company, or related technical startup environment
• Direct experience with human data used for AI model training and evaluation (required)
• Strong understanding of ML data pipelines, model training workflows, data quality processes, and production AI environments
• Ability to clearly translate customer needs into actionable technical requirements for internal teams
• Proven relationship management experience with advanced technical customers or AI labs
• Strong communication skills with ability to simplify complex technical topics for varied audiences
• High ownership mindset, intellectual curiosity, and structured problem‑solving ability
• Stable employment history with clear progression; candidates with jumpy resumes will not be considered

Preferred Qualifications (Strongly Valued)

• Direct experience working with top AI labs or frontier model organizations
• Existing network within AI research labs, model builders, or advanced ML ecosystems
• Startup or early‑stage company experience with high ambiguity tolerance
• Technical degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline
• Experience supporting renewals, upsells, or revenue expansion within technical accounts
• Familiarity with RLHF, data labeling, synthetic data, model evaluation, red‑team­ing, or related human data workflows
• Product operations or technical account management background

Compensation

• Base Salary: $150,000 – $250,000
• Additional Compensation: Equity + benefits package
• Work Location: Hybrid – Los Angeles, CA
• Employment Type: Full‑Time / Direct Hire
• Visa Sponsorship: Not available

EEO Statement

This company is an equal opportunity employer. All candidate information is handled confidentially and evaluated against defined requirements. Only candidates meeting the core qualifications will be considered for interview.