12 дней назад
Senior Product Manager, Product Data (AI)
128 000 - 153 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Product Data (AI) (catalog, data infrastructure, and ML-assisted systems): Own the product data foundation powering catalog management, enrichment, identity resolution, search, and recommendations with an accent on data accuracy, coverage, and usability at scale. Focus on designing self-improving enrichment workflows, mapping receipt text and retailer SKUs to canonical GTINs, and balancing automated pipelines with human-in-the-loop review.
Location: Hybrid in Denver, Colorado, with three days in the office on Tuesday, Wednesday, and Thursday. Candidates must live in the United States. Relocation support is available for candidates moving to Denver.
Base compensation: $128,000–$153,000 annually, plus equity and a variable compensation component.
Company
is a performance marketing platform that delivers digital promotions through the Performance Network and helps brands measure campaigns based on resulting sales.
What you will do
- Own the end-to-end product catalog, including the system of record, schema, read/write APIs, and tools for managing, reviewing, and approving changes.
- Build an automated, self-improving engine for enriching and correcting product attributes from first- and third-party sources.
- Lead product identity resolution by mapping receipt text and retailer SKUs to canonical GTINs and maintaining catalog quality.
- Deliver product search and recommendation capabilities that help humans and agents discover and understand products.
- Define and report north star metrics, using them to prioritize the roadmap and guide trade-offs.
- Partner with Engineering, Analytics, Decision Science, and consuming product teams on data contracts, human review, and platform strategy.
Requirements
- 5+ years of product management experience, including at least 2 years owning a backend, platform, or infrastructure-heavy domain.
- Bachelor’s degree in computer science, engineering, or a related technical field.
- Familiarity with data modeling, APIs, and data pipelines, with the ability to contribute to technical design discussions.
- Working knowledge of ML-assisted data systems, including precision/recall trade-offs, confidence thresholds, and human review workflows.
- Hands-on daily use of AI tools and experience building AI-powered workflows, automations, or integrations.
- Current authorization to work full-time in the United States is required.
Nice to have
- Experience with CPG or retail product data, GTIN/UPC standards, GS1, or syndicated data providers.
- Experience in performance marketing, adtech, or retail media products.
Culture & Benefits
- Flexible time off and medical, dental, and vision benefits.
- Employee Stock Purchase Program and 401(k) match.
- Denver office perks include paid parking, snacks, and occasional meals.
- Work with cross-functional teams in an environment built around integrity, ownership, teamwork, transparency, and boldness.
- Employees are responsible for secure data handling and reporting phishing attempts and security incidents.
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