4 дня назад
Staff Product Manager (AI Research & Engineering)
165 848 - 269 259$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI Research & Engineering) (AI/data platforms): Building scalable training-data collection and human-in-the-loop systems for computer vision, structured data, and agentic AI products with an accent on data quality, throughput, model improvement, and cost efficiency. Focus on designing feedback loops, production-ready pipelines, expert annotation workflows, and cross-functional execution across multiple data collection sites.
Location: US Remote - California; travel to multiple data collection sites is required approximately once per month to once per quarter.
Salary: $165,848–$269,259 per year, with potential eligibility for bonuses, commissions, or other compensation.
Company
provides technology-enabled grading, authentication, vaulting, and sales services for collectibles, including trading cards, autographs, comics, coins, video games, tickets, and memorabilia.
What you will do
- Define the strategy for training-data capabilities, including collection priorities, quality standards, review depth, confidence thresholds, and cost.
- Own data collection end to end, covering procurement, preparation, capture, expert labeling, annotation, and scalable pipeline development.
- Coordinate teams and sites to improve throughput, identify bottlenecks, and plan capacity across specialties and locations.
- Design human-in-the-loop review workflows and feedback loops that convert expert corrections into training data.
- Partner with ML Engineering, Operations, and subject matter experts to set direction and drive execution without direct authority.
- Define metrics for data quality, model improvement, throughput, and cost efficiency; mentor Product Managers and improve product practices.
Requirements
- Must be based in the United States, specifically California for this remote role.
- 10+ years of product management experience, including building a product, platform, or capability from the ground up.
- Experience with AI/ML or AI-enabled operational workflows where models and human expertise work together.
- Strong systems thinking and experience owning measurable outcomes related to cost, efficiency, quality, or throughput.
- Ability to influence technical teams, operators, and subject matter experts without direct authority.
- Exceptional written communication and willingness to travel to data collection sites approximately monthly to quarterly.
Nice to have
- Experience using AI tools and coding agents such as Claude Cowork, Claude Code, or Codex to improve product development and workflows.
Culture & Benefits
- Medical, dental, and vision insurance for full-time employees.
- Fertility, commuter, and educational assistance benefits.
- 401(k) matching plan.
- Flexible time off for salaried employees and ten company-paid holidays for regular full-time employees.
- Employee discounts on selected grading services and flexible scheduling options.
Hiring process
- Video interviews require cameras to be on; some interview steps may take place by phone.
- Remote candidates may be asked to participate in an onsite interview during the final stages.
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