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Model Manager Jobs in California (NOW HIRING)

OpenAI

Model Designer

San Francisco, CA · On-site

$266K - $295K/yr

Partner with product managers and designers across the company to ensure a cohesive voice and approach. * Proactively identify ways to improve our models based on product sense, user feedback ...

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Model Manager information

See California salary details

$24.2K

$58.7K

$114.5K

How much do model manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for model manager in California is $58,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $67,600.00 per year, depending on experience, location, and employer.

What is the role of a model manager?

A model manager oversees the careers of models, manages bookings, negotiates contracts, and coordinates with clients and agencies. They also handle scheduling, promote their models, and ensure professional development within the fashion or advertising industry.

What jobs in the US pay 300,000 a year?

Model Managers in the modeling industry can earn $300,000 or more annually, especially with extensive experience, high-profile clients, and management of top-tier talent. Other high-paying roles in the US that can reach this level include senior executives, specialized physicians, and certain technology or finance professionals, often requiring advanced skills, certifications, and significant responsibility.

What jobs will no longer exist in 2030?

Model Managers are unlikely to be eliminated by 2030, but roles involving manual or repetitive tasks may decline due to automation and AI advancements. Jobs that rely heavily on routine physical or administrative work are at higher risk of becoming obsolete as technology improves and AI tools become more capable of handling such tasks.

What is a Model Manager job?

A Model Manager is responsible for overseeing the development, deployment, and maintenance of machine learning models within an organization. They coordinate between data scientists, engineers, and business stakeholders to ensure models are accurate, efficient, and aligned with business goals. Their role includes managing model performance, monitoring for bias or drift, and optimizing workflows for scalability. They also ensure compliance with ethical AI practices and industry regulations.

What is the 3 month rule for jobs?

The 3 month rule for a Model Manager typically refers to a probation or trial period of three months, during which performance and fit are evaluated before offering a permanent position or contract extension. This period allows employers to assess skills, reliability, and professionalism in managing models and related tasks.

What are the key skills and qualifications needed to thrive in the Model Manager position, and why are they important?

Model Managers need a solid understanding of talent management, contract negotiation, branding, and the fashion or entertainment industry—often supported by a background in business, communications, or marketing. They should be proficient in using digital portfolio management platforms, scheduling tools, and industry-standard CRM (customer relationship management) systems. Exceptional interpersonal skills, strong organizational abilities, and the capacity to handle high-pressure situations set top professionals apart. These competencies are vital to successfully managing client relationships, securing opportunities, and advancing the careers of the models they represent.

What are the typical daily responsibilities of a Model Manager?

As a Model Manager, your daily responsibilities may include scouting new talent, organizing and facilitating photoshoots or auditions, negotiating contracts with agencies or clients, and overseeing the development of models' portfolios. You’ll often serve as the primary point of contact between models, clients, and agencies, making sure all parties are aligned on expectations and schedules. Additionally, administrative duties such as booking appointments, managing payments, and updating legal documentation are core aspects of the role. This position requires a balance of hands-on talent management and behind-the-scenes coordination to ensure your models' careers progress smoothly.

What are the most commonly searched types of Model jobs in California? The most popular types of Model jobs in California are:
What are popular job titles related to Model Manager jobs in California? For Model Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Manager jobs in California look for? The top searched job categories for Model Manager jobs in California are:
What cities in California are hiring for Model Manager jobs? Cities in California with the most Model Manager job openings:
Model Manager jobs near you
Sr. Manager, Engineering - Model Serving

Sr. Manager, Engineering - Model Serving

Databricks

San Francisco, CA • On-site

Other

Posted 20 days ago

Job description

RDQ127R51 

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.

As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of Model Serving - shaping customer-facing capabilities while designing for scalability, extensibility, and performance across both CPU and GPU inference - and collaborate closely across the platform, product, infrastructure, and research organizations.

The impact you will have:

  • Lead, mentor, and grow a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure - covering runtime, APIs, scaling, reliability, and integrations.
  • Define and own the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling.
  • Collaborate closely with product, research, platform, and infrastructure teams to drive end-to-end delivery - from ideation and prioritization to launch and operation.
  • Ensure Model Serving meets stringent SLAs, SLOs, and performance and reliability goals, continuously improving operational efficiency and customer experience.
  • Drive architectural decisions and product design around latency, throughput, autoscaling, GPU/CPU placement, and cost optimization.
  • Advocate for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
  • Promote best practices in code quality, testing, observability, and operational readiness.
  • Foster a culture of excellence, inclusion, and continuous improvement across the team.
  • Partner with recruiting to attract, hire, and develop top-tier engineering talent.

What we look for:

  • 5+ years of experience in technical leadership or management.
  • Proven track record building and operating large-scale distributed systems, preferably real-time or low-latency APIs.
  • Deep understanding of real-time serving systems.
  • Experience driving architectural design and operational excellence for production systems with measurable SLAs and SLOs.
  • Familiarity with CPU/GPU performance optimization, concurrency, caching, and scalability concepts.
  • Excellent collaboration and communication skills across engineering, product, and research organizations.
  • Ability to lead teams through ambiguity and deliver complex, cross-functional projects.
  • BS in Computer Science (Masters or PhD Preferred).

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