AI Systems PM: Scalable Evaluation & Learning

Agilesoft; San Francisco (CA); Vor Ort; USD 160.000 - 240.000; Vollzeit

Benefits dieser Stelle

Competitive salary and equity

Performance bonus

401(k) with company match

Health coverage

Unlimited PTO

Daily catered meals in Mountain View

Zusammenfassung

Granica is hiring a Research Product Manager to define and build core systems that determine how AI models are evaluated, improved, and deployed on real-world data. You’ll own systems spanning model evaluation, post-training feedback loops, and learning from structured data, blending ML infrastructure, research, and product.

Location Mountain View, CA; on-site five days per week; senior/principal level. You’ll work with researchers and engineers to move ideas from experiments into production at

Qualifikationen

• 5+ years of experience in product management, technical program management, or similar roles in AI, ML infrastructure, or data systems.
• Strong understanding of machine learning systems, including training, evaluation, and deployment.
• Experience working with large-scale data systems or distributed infrastructure.
• Ability to reason about trade-offs across data, compute, performance, and cost.
• Track record of driving complex technical systems from concept to production.

Aufgaben

• Define and drive systems for model evaluation, benchmarking, and real-world performance.
• Build product direction for post-training systems and feedback loops that continuously improve models.
• Define how models learn from large-scale structured and relational datasets.
• Partner with engineering to build systems that connect data platforms with ML systems.
• Own how improvements move from research experiments into production systems.
• Model trade-offs across compute, data efficiency, performance, and cost.
• Identify where system improvements drive measurable business impact.

Kenntnisse

Product management

ML infrastructure

Data systems

Trade-off analysis

Production rollout

Jobbeschreibung

Granica is hiring a Research Product Manager to define and build core systems that determine how AI models are evaluated, improved, and deployed on real-world data. You’ll own systems spanning model evaluation, post-training feedback loops, and learning from structured data, blending ML infrastructure, research, and product.

Location Mountain View, CA; on-site five days per week; senior/principal level. You’ll work with researchers and engineers to move ideas from experiments into production at