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Model Manager Jobs in New York (NOW HIRING)

Datadog

Product Manager II - Model Lab

New York, NY · On-site

As a Product Manager II for Model Lab , you will define and launch Datadog's experiment tracking platform built for teams training and fine-tuning foundational models. Model Lab centralizes metrics ...

CLS Bank International

Model Validator

Manhattan, NY · On-site

Experience / essential and desired for successful job performance • 0-3 years' experience in the model risk management at a regulated financial institution. • Understanding of settlement and ...

Td

Audit Manager I (US) - Model Risk Audit

New York, NY · On-site

$113K - $149K/yr

Knowledge of model risk management frameworks, regulatory expectations, and industry standards, including SR 26-2, Basel, CCAR, CECL/IFRS 9, and AI governance frameworks, is preferred. * Prior ...

Synchrony Financial

AVP, Model Validation

Stamford, CT · On-site

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role ...

Synchrony

Avp, Model Validation

Stamford, CT · On-site

$100 - $170/hr

Role Summary/Purpose The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12 ...

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Model Manager information

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$26.8K

$65.1K

$126.9K

How much do model manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for model manager in New York is $65,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $74,900.00 per year, depending on experience, location, and employer.

What is a model manager?

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 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.

How do I become a model manager?

To become a model manager, you typically need experience in the fashion or modeling industry, strong organizational and communication skills, and knowledge of contract negotiations and talent development. Many model managers start in related roles such as agents, scouts, or assistants before advancing to management positions. Building a network of industry contacts and understanding market trends are also important for success in this role.

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 New York? The most popular types of Model jobs in New York are:
What are popular job titles related to Model Manager jobs in New York? For Model Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Model Manager jobs in New York look for? The top searched job categories for Model Manager jobs in New York are:
What cities in New York are hiring for Model Manager jobs? Cities in New York with the most Model Manager job openings:
Model Manager jobs near you
Infographic showing various Model Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,122 per year, or $31.3 per hour.

Product Manager II - Model Lab

Datadog

New York, NY • On-site

Full-time

Re-posted 23 hours ago

Datadog rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 483 rated business services

Job description

As a Product Manager II for Model Lab, you will define and launch Datadog's experiment tracking platform built for teams training and fine-tuning foundational models. Model Lab centralizes metrics, hyperparameters, datasets, code versions, artifacts, and lineage to help ML and AI teams achieve reliable, reproducible, and explainable training runs at scale.

This is a 01 opportunity to build a new product that will be deeply integrated into Datadog's observability platform. You will shape the product vision, validate the market, and drive execution for a new category-defining offering that serves AI research, ML platform, and applied AI teams.

At Datadog, we value our office culture - the relationships it builds, the creativity it fosters, and the collaboration that comes from working together. We operate as a hybrid workplace to help employees create a work-life harmony that fits their needs.

What You'll Do:

  • Define the vision and strategy for Model Lab, establishing Datadog's position in experiment tracking and model training observability
  • Lead 01 product discovery with AI research teams, ML platform engineers, and infrastructure leaders to deeply understand experiment tracking workflows and pain points
  • Design a system that unifies training metrics, hyperparameters, artifacts, dataset lineage, and model evaluation into a coherent and scalable experience
  • Identify differentiation opportunities vs. competitive alternatives and homegrown internal tooling
  • Partner closely with engineering and design to ship foundational capabilities such as experiment lineage, artifact versioning, distributed training visibility, and reproducibility workflows
  • Collaborate with go-to-market teams to define packaging, positioning, and early customer programs
  • Drive early customer adoption, including design partnerships and private beta programs
  • Translate ambiguous, research-oriented workflows into clear product primitives and APIs
  • Establish success metrics and iterate quickly based on user feedback and usage data

Who You Are:

  • You have 4+ years of Product Management experience, with at least one 01 product or major feature launch
  • You are entrepreneurial and comfortable operating with ambiguity, defining problems before defining solutions
  • You have experience with developer tools, ML infrastructure, data platforms, or AI/LLM systems
  • You understand (or can quickly ramp on) modern ML training workflows - distributed training, experiment tracking, hyperparameter tuning, artifact storage, evaluation pipelines
  • You have familiarity with frameworks such as PyTorch, TensorFlow, JAX, or distributed training frameworks
  • You are opinionated about product quality and developer experience, especially around APIs, SDKs, and workflows
  • You can translate highly technical concepts into compelling product narratives
  • You are comfortable making prioritization tradeoffs in fast-paced, competitive markets
  • You thrive in cross-functional environments and can align engineering, design, and GTM around a clear strategy
  • You are excited to build in a rapidly evolving AI ecosystem

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. If you're passionate about building technical products and want to shape the future of AI infrastructure, we encourage you to apply.

Benefits and Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of employment and the nature of employment with Datadog.

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