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Program Manager III

Job in Cupertino, Santa Clara County, California, 95014, USA
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
Salary/Wage Range or Industry Benchmark: 95 - 97 USD Hourly USD 95.00 97.00 HOUR
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.
Who You Are
  • 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.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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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