Program Manager III
Job in
Cupertino, Santa Clara County, California, 95014, USA
Listed on 2026-05-16
Listing for:
Harvey Nash
Full Time
position Listed on 2026-05-16
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Science Manager
Job Description & How to Apply Below
Summary
We’re in search of a Program Manager III responsible for end-to-end artist catalog data—including artist pages, bios, images, disambiguation, and the expanding surface area of artist-facing data—and serve as the primary operational owner and escalation point for vendor teams raising curation questions.
Job Title: Program Manager III
Location: Cupertino, CA 95014 (Hybrid)
Duration: 12+ month contract with possibility of extension
What You’ll Do- Lead artist curation operations end-to-end—including artist pages, bios, images, disambiguation, and the expanding surface area of artist-facing data—and serve as the primary operational owner and escalation point for vendor teams raising curation questions.
- Bridge communication between business stakeholders and technical teams (Data Science, Engineering, AI/ML), ensuring operational needs are clearly understood and technical tradeoffs are clearly communicated back.
- Translate operational challenges into technical requirements—from artist disambiguation to image quality to bio accuracy—into clear, actionable specifications that engineering and data science teams can execute against.
- Break down ambiguous problems like artist disambiguation into well-scoped, prioritized work streams, sequenced by impact, starting with the highest-leverage slice and iterating from there.
- Evaluate technical proposals and model outputs—participate in design reviews and design evaluation frameworks (golden sets, quality metrics, error analysis, human-in-the-loop feedback) to judge whether AI/ML solutions are ready for production.
- Design and iterate on manual review tooling that surfaces AI-generated inputs (confidence scores, candidate matches, suggested actions) to accelerate reviewer throughput and accuracy.
- Identify opportunities to apply ML models, agentic workflows, and automation to pressing artist curation problems—running lightweight ROI and impact analyses to distinguish short-term tactical wins from long-term structural solutions.
- Partner cross-functionally with Engineering, Data Science, Product, Analytics, and peer Operations teams (including Partner Operations and Data Strategy) to surface interdependencies and align priorities.
- You’re energized by ambiguity.
- You prioritize ruthlessly, instinctively asking, "What’s the highest-impact thing I could solve first?" before touching anything else.
- You’re an independent operator who moves forward with light direction but knows when to pull others in.
- You have exceptional attention to detail that catches catalog anomalies others miss.
- You communicate precisely and persuasively, in writing, decks, and in the room with leadership.
- You have technical fluency—comfortable discussing system design, data pipelines, MLOps, model evaluation, and real-world AI/ML deployment challenges without necessarily writing the code.
- You have a tinkerer's mentality—ready to try things, fail quickly, pivot, and ship a rough prototype this week rather than designing the perfect solution for three months.
- 5+ years in operations, program management, or technical product roles with meaningful exposure to AI/ML‑driven workflows.
- Demonstrated experience translating operational or product problems into ML requirements and working directly with data scientists and engineers through model development cycles.
- Experience evaluating model outputs—designing evaluation sets, quality metrics, error analysis, and human feedback loops.
- Experience designing or specifying review/annotation tooling that surfaces AI inputs to human reviewers.
- Conceptual understanding of core analytics principles (sampling, hypothesis testing, statistical measurement).
- Proven ability to produce executive‑ready written narratives and presentations.
- Track record of leading ambiguous initiatives end-to-end with minimal direction.
- Experience in the music industry or with music metadata, catalogs, rights data, or artist-facing products.
- Familiarity with entity resolution or disambiguation problems (artists, works, identities).
- Exposure to LLM-based workflows, prompt evaluation, or agentic automation.
- Experience collaborating with international stakeholders or managing cross‑cultural projects is a plus.
- Comfort querying data (SQL or similar) to investigate issues independently.
- Experience managing vendor or outsourced review teams.
- Tableau or comparable BI tooling.
- A genuine passion for music and curiosity about the systems that power the modern music industry.
Compensation: $95 to $97 per hour (estimated)
Benefits are available at (Use the "Apply for this Job" box below). Nash Contractors NH
2025
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