Senior Product Manager,

Insightsoftware; United States; On-site; USD 124,000 - 156,000; Full time

Job summary

insightsoftware is seeking a Senior Technical Product Manager to own the AI Services roadmap and execution. You will collaborate with engineering leadership to set direction for agentic workflows, tool interfaces, and AI quality infrastructure across the portfolio.

You will partner with security, legal, and compliance to ensure governance and trust while delivering scalable AI capabilities used by multiple product teams and end users in finance and accounting domains.

Qualifications

• 8+ years in product management, with at least two years owning AI products as an hands-on contributor
• Shipping large language model applications to production, not prototypes
• Technical fluency in agentic architectures: orchestration and planning, tool calls, retrieval-augmented generation, context management
• Hands-on experience with the Model Context Protocol or comparable tool and plugin interfaces for connecting agents to enterprise systems
• Practical experience building or operating evaluation frameworks for AI systems
• Experience delivering a shared platform or API-based service used by other product teams
• Ability to read code and discuss architecture with senior engineers
• Strong Agile delivery and cross-functional influence without formal authority
• Excellent written communication and related technical degree in CS/Engineering or equivalent

Responsibilities

• Own the AI Services roadmap, strategy, and quarterly priorities for agentic workflows and associated tooling
• Define agentic capabilities: planning, memory, guardrails, and human-in-the-loop checkpoints
• Drive the tool and connector strategy, MCP surface, and safe data access controls
• Establish AI quality as a product discipline with evaluation frameworks and observability
• Enable consuming product teams with reference implementations and adoption guidance
• Collaborate daily with chief architect and engineering manager on design reviews and trade-offs
• Measure adoption, task success rates, eval scores, latency, and cost to leadership
• Manage AI risk and trust with security, legal, and compliance teams

Skills

AI product mgmt

Agentic architectures

Model Context Protocol

Evaluation frameworks

APIs

Agile delivery

Cross-functional influence

Written communication

Education

Bachelor's degree in CS/Engineering

Tools

Model Context Protocol

Job description

About Us

insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.

Job Description

We are seeking a Senior Technical Product Manager to own the product strategy and execution for the AI Services team at insightsoftware. This is a dedicated product role for a team that already builds the agentic capabilities, tool and connector layer, and AI quality infrastructure that the entire insightsoftware portfolio depends on. You will take the roadmap from a shared responsibility across engineering leadership and make it your own - setting direction, sequencing the work, and driving it to delivery. AI Services is one of our most visible and strategically important programs. It operates as a shared service, which means our internal customers are the product teams across the insightsoftware portfolio, and our end customers are the finance and accounting professionals who use their products every day. This role is a senior individual contributor position: you will work as a peer to our chief architect and engineering manager, go deep on technical design decisions, and write the specifications, evaluation criteria, and enablement material yourself. Success requires someone who has built agentic systems in production, not someone who has only read about them.

What Will You Do?

• Own the AI Services Roadmap: Define and maintain the strategy, roadmap, and quarterly priorities for agentic workflows, the tool and connector layer, and AI quality infrastructure. Make the trade-off calls on sequencing, scope, and technical direction, and defend them with evidence.
• Define Agentic Capabilities in Depth: Specify multi-step agent behavior - planning, tool selection, memory, human-in-the-loop checkpoints, fallback paths, and guardrails. Translate ambiguous business problems into agent designs that are reliable enough to put in front of finance users.
• Drive the Tool and Connector Strategy: Own the roadmap for our Model Context Protocol (MCP) surface and tool interfaces. Decide which insightsoftware data, actions, and product capabilities are exposed to agents and third-party assistants, and define the contracts, versioning, and access controls that make them safe to consume.
• Establish AI Quality as a Product Discipline: Build and own the evaluation framework for AI features - golden datasets, offline and online evals, regression harnesses, accuracy and hallucination measurement, and production observability. Set the quality bars that gate release and hold the team to them.
• Enable Consuming Product Teams: Treat portfolio product managers and their engineering teams as your customers. Run intake, document integration paths, publish reference implementations and adoption guidance, and measure whether teams are successfully building on AI Services rather than around it.
• Partner Deeply with Engineering and Architecture: Work daily with the chief architect and engineering manager on design reviews, technical trade-offs, model and vendor selection, and cost and latency management. Participate in sprint planning and refinement, and unblock the team on product decisions in hours, not weeks.
• Measure and Communicate Outcomes: Define the metrics that show whether AI Services is working - adoption across product lines, agent task success rates, eval scores, cost per task, latency, and incident rates. Report them to senior leadership with a clear read on what to do next.
• Manage AI Risk and Trust: Work with security, legal, and compliance to address data handling, model governance, auditability, and customer trust concerns before they become launch blockers.

Minimum Qualifications

• 8 or more years in product management, with at least two years owning AI products as a hands-on individual contributor
• Demonstrated experience shipping large language model applications to production - not prototypes or internal demos
• Working technical fluency in agentic architectures: orchestration and planning patterns, tool and function calling, retrieval-augmented generation, context management, and prompt engineering
• Hands-on experience with the Model Context Protocol or comparable tool and plugin interfaces for connecting agents to enterprise systems
• Practical experience building or operating evaluation frameworks for AI systems, including how to construct datasets, choose metrics, and interpret results
• Experience delivering a shared platform or API-based service where other product teams are the primary consumers
• Ability to read code, reason about system design, and hold your own in architecture discussions with senior engineers
• Strong command of Agile delivery, with the judgment to know when process helps and when it gets in the way
• Ability to influence cross-functional teams and senior stakeholders without formal authority
• Excellent written communication - this role produces specifications, decision records, and enablement documentation that others rely on
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred Qualifications

• Experience taking AI capabilities to market in a B2B enterprise SaaS environment, including packaging, pricing input, and sales enablement
• Background in enterprise finance, accounting, ERP, or business intelligence domains
• Experience managing inference cost, latency, and model routing across multiple providers at scale
• Familiarity with AI security, data residency, and regulatory considerations for enterprise customers
• Prior experience as the first product hire on a team, establishing product practice where none existed
• Contributions to open source AI tooling, published evaluation work, or an active public presence in the agentic AI community

Why This Role Matters

Every insightsoftware product line is building toward AI-assisted workflows for the Office of the CFO. AI Services decides how fast and how well that happens. You will set the standard for what good looks like - and the leverage is unusual: one well-designed capability here reaches customers through many products at once.

Salary Range

The salary range in United States of America for this position is 124,000.00 to 156,000.00 USD Annual. For sales roles, this range includes the commission target. For non-sales roles, this is a base salary only range; additional bonus eligibility may apply. Your specific offer within this range will be determined by your skills, experience, and qualifications. We are committed to pay transparency and fair compensation practices. If you have questions about our compensation approach, please don't hesitate to ask during the interview process.

Additional Information

All your information will be kept confidential according to EEO guidelines. Learn more about our high-energy, high-performance global team: Work With Us insightsoftware.

Background checks

Background checks are required for employment with insightsoftware, where permitted by country, state/province.

Equal Employment Opportunity

At insightsoftware, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.