Senior Product Manager - Data / AI (Remote)

This is a remote position with heavy travel during the first 3-6 months

Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people's needs and transform their experience of government.

Work on things that matter

Our collaborations have shaped some of the defining moments in public-sector service delivery. We've helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government approaches technology.

Built for a remote life

Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.

Committed to high expectations and a welcoming culture

Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.

The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.

Primary Responsibilities:

The Senior Technical Product Manager will lead the strategy, roadmap, and execution of advanced AI and machine learning initiatives that transform how the organization uses data to drive insights, decisions, and public-facing services.

This senior role ensures that ML and data platforms are scalable, reliable, and strategically aligned, enabling data scientists and engineers to rapidly develop, deploy, and iterate models. By implementing Agile methodologies and leveraging tools like Jira and Confluence, the Senior TPM fosters iterative development, transparent prioritization, and alignment across complex, cross-functional teams.

The Senior TPM will own initiatives spanning data ingestion, feature engineering, model training, deployment, and monitoring-ensuring models meet performance, trustworthiness, and compliance standards. They will collaborate with leadership, product, UX, data scientist, engineering, and policy teams to deliver actionable insights, improve operational efficiency, and enable AI-powered innovation across the organization.

Ultimately, this role positions the data and ML platforms as strategic capabilities, ensuring that AI and data-driven products are performant, ethical, and impactful for public health and organizational goals.

. Primary expectations of a Senior Technical Product Manager include:

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  Strong influential skills to build relationships with internal and external stakeholders

  
  
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  Serves as a mentor and coach to other product team members

  
  
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  Leads cross functional efforts for delivery team members and team leads; may serve as the primary technical point of contact for stakeholders

  
  

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  Primarily focused on program and delivery strategy, but also supports tactical assignments

  
  
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  Considered an expert with agile methodologies; ability to lead cross-functionally and deliver based upon requirements

  
  
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  Leads a cross-functional team to deliver new products given the mission and goals of the customer.

  
  
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  Works with a client/product owner to shape the vision and strategy for a product or program and adopt more iterative and outcome-driven ways of working

  
  
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  Shapes the vision and narrative for the product by developing artifacts, like a "product brief" and related roadmaps; with the goal of instilling a shared purpose and metrics to define success

  
  
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  Works with customers to develop strategies that focus on the highest value outcomes for the program given goals, needs, and constraints

  
  
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  Successfully advocates for user needs and lean methods when setting priorities and managing tradeoffs

  
  

Basic Qualifications:

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  Bachelor's degree and 7+ years of experience

  
  
  
  
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    Relevant years of experience may be substituted for education

    
    
  
  
  
  

Senior Data & ML Product Experience

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  Significant experience (5+ years) managing data platforms, machine learning pipelines, or AI products at scale. Expertise in data ingestion, processing, modeling, and deployment workflows, including operationalizing ML models in production environments. Proven ability to define and drive product strategy, roadmap, and execution for complex, data-intensive initiatives.

  
  

Technical Product Management Skills

• Ability to translate complex technical and business requirements into clear roadmaps, epics, and user stories for ML and data engineering teams.
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  Deep understanding of APIs, data pipelines, cloud-based ML services (AWS SageMaker, GCP AI, Azure ML), and model deployment architectures

  
  
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  Experience defining metrics, monitoring, and observability strategies for ML and data products

  
  

Agile Methodology Implementation

• Hands-on experience leading Agile processes (Scrum, Kanban, or hybrid) for cross-functional teams
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  Expert in using Jira, Confluence, or similar tools for backlog management, sprint planning, and stakeholder communication

  
  

Cross-Functional Leadership

• Experience leading cross-functional teams of data engineers, ML engineers, data scientists, UX, and business stakeholders
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  Ability to influence senior leadership and align product priorities with organizational strategy, regulatory requirements, and ethical considerations

  
  

Data Governance & Compliance Awareness

• Knowledge of data privacy, security, and compliance standards relevant to sensitive datasets (HIPAA, FISMA, FedRAMP, or similar)
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  Ability to define policies and requirements to ensure data integrity, reproducibility, and ethical AI practices

  
  

Preferred Qualifications:

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  ML Lifecycle Management Expertise - Experience with ML lifecycle tools for model versioning, experiment tracking, monitoring, and feature store management. Familiarity with real-time or streaming data processing pipelines and operationalizing ML at scale

  
  
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  Advanced Analytics or Business Intelligence Knowledge - Experience translating model outputs into actionable insights for dashboards, KPIs, or decision-making frameworks

  
  
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  Federal/Public Health or Policy Experience - Experience applying ML/AI solutions in government, public health, or regulated environments

  
  
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  Technical Leadership Background - Ability to read system and ML architecture diagrams, evaluate trade-offs, and guide engineering teams toward scalable, maintainable solutions.

  
  
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  Ability to obtain/maintain any of the following

  
  
  
  
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    CSPO, CPM, CSM or other related certifications

    
    
  
  
  
  

To learn more about working at Ad Hoc, please visit:https://adhocteam.us/join

Benefits:

• Company-subsidized health, dental, and vision insurance
• Flexible PTO
• 401K with employer match
• Paid parental leave after one year of service
• Employee Assistance Program

Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $120,000 - $135,000. Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.