Senior Product Manager – Agents and Intelligence

Jobgether; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work (US)

Work-life balance

Employee resource groups

Inclusive culture

Professional impact

Job summary

Jobgether is seeking a strategic Product Manager to lead AI-enabled contract lifecycle initiatives. You will own the roadmap for agent-driven solutions, align investments with business goals, and partner with engineering to evolve APIs and data access.

You will translate platform capabilities into innovative opportunities, define success metrics, and collaborate with UX to deliver user-centered AI experiences. This fully remote role offers travel up to 10% for workshops and research.

Qualifications

• 5+ years of product management in a fast-paced software company.
• Advanced knowledge of generative AI for B2B environments.
• Ability to prioritize effectively and align work with strategy.
• Data-driven decision-making with metrics and performance evaluation.
• Experience in enterprise SaaS, especially legal tech or CRMs.
• Experience designing APIs and platform integrations.
• Strong storytelling and influencing across teams.
• Hands-on with agent frameworks or orchestration platforms.
• Familiarity with MCP or similar AI tech.
• Experience building enterprise AI products.
• No-code platform experience is beneficial.
• Willingness to travel up to 10%.

Responsibilities

• Own product strategy and roadmap for agent-driven solutions.
• Co-lead AI-powered insights and optimizations.
• Identify high-impact use cases across contract lifecycle where intelligent agents can automate tasks and support decisions.
• Develop an in-depth understanding of platform capabilities and translate into innovative opportunities.
• Define, monitor, and optimize KPIs for agentic workflows, including adoption and ROI.
• Collaborate with engineering to evolve APIs and improve data access for integrations.
• Work with UX to understand user needs and create user-centered AI experiences.
• Prioritize the backlog and write clear user stories with acceptance criteria and specs.
• Stay current on contract lifecycle management, generative AI, agent frameworks, and competitive developments.
• Partner with product marketing, sales enablement, customer success for launches and adoption.
• Communicate the value of intelligent agent solutions to stakeholders and external audiences.
• Shape future innovations in agent-enabled contract lifecycle management.

Job description

Accountabilities:

• Product Strategy and Roadmap: Own the roadmap and execution of agent-driven solutions, ensuring product investments align with broader business objectives and deliver measurable customer and commercial impact.
• AI-Driven Innovation: Co-lead strategic initiatives that introduce AI-powered insights and optimizations across the product, identifying opportunities to improve efficiency and enhance customer value.
• Workflow Discovery: Identify high-impact use cases throughout the contract lifecycle where intelligent agents can automate tasks, support decisions, and improve operational outcomes.
• Product Expertise: Develop an in-depth understanding of platform capabilities and translate that knowledge into innovative, practical product opportunities.
• Success Metrics and Performance: Define, monitor, and optimize key performance indicators for agentic workflows, including adoption, customer satisfaction, and measurable return on investment.
• API and Technical Collaboration: Partner with engineering teams to evolve APIs and improve data accessibility, enabling reliable integration and effective operation of agent-driven solutions.
• User Experience and Design: Collaborate with UX and design teams to understand user needs and create intuitive, collaborative, and user-centered AI experiences.
• Backlog and Product Delivery: Prioritize the product backlog and develop clear user stories, acceptance criteria, and product specifications to guide engineering execution.
• Market and Competitive Intelligence: Stay current on contract lifecycle management, generative AI, agent frameworks, and competitive product developments to inform strategy and maintain product relevance.
• Cross-Functional Alignment: Partner with product marketing, sales enablement, customer success, and other stakeholders to support product launches, adoption, and market positioning.
• Product Evangelism: Communicate the value and capabilities of intelligent agent solutions to internal stakeholders, customers, and external audiences.
• Roadmap Collaboration: Work with fellow product leaders to shape and deliver future innovations in agent-enabled contract lifecycle management.

Requirements:

• Product Management Experience: At least 5 years of product management experience within a fast-paced software company.
• Generative AI Expertise: Advanced knowledge of current approaches to building, measuring, and improving generative AI applications for business-to-business (B2B) environments.
• Strategic Prioritization: Ability to prioritize effectively, balance immediate delivery needs with long-term objectives, and connect day-to-day execution to broader business strategy.
• Data-Driven Decision-Making: Strong experience defining success metrics, evaluating product performance, and using data to guide product decisions and improvements.
• Enterprise SaaS Experience: Background in enterprise B2B software, ideally in legal technology, contract lifecycle management, enterprise resource planning (ERP), customer relationship management (CRM), or business process management (BPM).
• API and Platform Development: Experience collaborating with engineering teams to design, improve, or evolve APIs that support integrations, extensibility, and AI agent capabilities.
• Communication and Influence: Strong storytelling, written and verbal communication, and collaboration skills, with the ability to influence stakeholders across functional boundaries.
• Agentic AI Experience: Hands-on experience with agent frameworks, multi-agent collaboration, or orchestration platforms is preferred.
• Emerging AI Technologies: Familiarity with Model Context Protocol (MCP), agent tools, or comparable technologies is an advantage.
• Enterprise AI Product Development: Experience building and scaling generative AI or agent-based products for enterprise customers is preferred.
• No-Code Platforms: Experience with enterprise no-code platforms and extensibility strategies is beneficial.
• Travel Flexibility: Willingness to travel up to 10% for customer workshops, conferences, and research activities.

Benefits:

• Remote Work: Full-time remote position within the United States.
• Work-Life Balance: A culture that supports healthy boundaries, including floating holidays and a quarterly wellness day that can be taken without providing a reason.
• Employee Resource Groups: Opportunities to participate in employee resource groups and contribute to an inclusive workplace.
• Inclusive Culture: An environment that values diverse backgrounds, perspectives, and authentic self-expression.
• Professional Impact: The opportunity to shape AI-driven enterprise products in the evolving contract lifecycle management market and collaborate with multidisciplinary teams.
• Compensation and Additional Benefits: Salary, healthcare coverage, retirement plans, and other specific benefits are not detailed in the provided job description.