Senior AI Product Manager, Agents

Jobgether United State
Remote
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AI Summary

Jobgether is seeking a Senior AI Product Manager, Agents to design, prototype, and deploy AI agents that automate and orchestrate complex business operations. The ideal candidate will have 5+ years of experience in product management, applied AI/ML, data products, or technical product roles. Strong technical fluency and hands-on familiarity with modern agentic tools and frameworks are required.

Key Highlights
Design, prototype, and deploy AI agents
Automate and orchestrate complex business operations
Work with cross-functional teams to identify high-impact opportunities for automation
Key Responsibilities
Lead the design, development, and deployment of agentic systems
Identify high-impact operational processes and translate them into agent-ready workflows and modular execution systems
Develop reusable 'starter kits' and orchestration frameworks to enable scalable adoption of agentic solutions across teams
Technical Skills Required
SQL Python Data analysis Experimentation frameworks
Benefits & Perks
Competitive cash compensation: $155,000 - $185,000 USD
Equity opportunities aligned with long-term company performance
Comprehensive medical, dental, and vision insurance

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Product Manager, Agents in the United States.

This role sits at the forefront of applied AI, focused on building and scaling agentic systems that transform how complex business operations are executed. You will design, prototype, and deploy AI agents that automate and orchestrate end-to-end workflows across growth and delivery systems. The position requires a strong blend of product thinking, technical fluency, and hands-on builder mentality. You will work directly with cross-functional teams including data science, engineering, and operations to identify high-impact opportunities for automation. Your work will shape reusable frameworks and “starter kits” that enable others to adopt agent-based execution at scale. This is a high-visibility role where your systems directly influence business performance and operational efficiency across large client ecosystems.

Accountabilities

Lead the design, development, and deployment of agentic systems that automate and orchestrate complex operational workflows across growth and client delivery functions.

  • Identify high-impact operational processes and translate them into agent-ready workflows and modular execution systems.
  • Build, prototype, and deploy AI agents that interact with data, tools, and business systems to automate real-world tasks.
  • Develop reusable “starter kits” and orchestration frameworks to enable scalable adoption of agentic solutions across teams.
  • Own end-to-end product execution for assigned workstreams, from opportunity discovery through delivery and iteration.
  • Partner with data science, engineering, and business teams to integrate structured data, experiments, and business rules into agent workflows.
  • Define success metrics, monitor performance, and measure the business impact and ROI of deployed AI systems.
  • Continuously refine agent behavior, reliability, and orchestration patterns based on real-world performance and feedback.

Requirements

5+ years of experience in product management, applied AI/ML, data products, or technical product roles with a strong emphasis on building intelligent systems.

  • Proven experience building and deploying AI agents or automation systems beyond prototypes into production environments.
  • Strong technical fluency, including comfort with SQL, Python, data analysis, and experimentation frameworks.
  • Deep understanding of how to decompose complex workflows into modular, agent-executable tasks and systems.
  • Experience working with cross-functional teams including engineering, data science, and operations in fast-paced environments.
  • Strong systems thinking with the ability to design scalable, composable workflows and automation architectures.
  • Demonstrated ability to measure product impact through data, experimentation, and ROI-driven decision-making.
  • Excellent communication skills with the ability to align technical and non-technical stakeholders around complex AI initiatives.
  • Hands-on familiarity with modern agentic tools and frameworks is strongly preferred.

Benefits

  • Competitive cash compensation: $155,000 - $185,000 USD plus potential equity
  • Equity opportunities aligned with long-term company performance
  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Flexible PTO policy (20-25 days depending on tenure) plus paid holidays
  • Paid parental bonding leave
  • Health savings accounts and flexible spending accounts
  • Life, short-term, and long-term disability insurance
  • Employee assistance and financial wellness programs
  • Fully remote-friendly environment with periodic in-person collaboration and company offsites.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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