Senior Product Manager

🕒 October 13

🇺🇸 United States – Remote

💵 $124k - $156k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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insightsoftware

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💸 Finance

🏢 Enterprise

💰 $798.6M Private Equity Round - insightsoftware on 2021-07

SaaS • Finance • Enterprise

insightsoftware is a provider of financial and operational reporting software and data analytics solutions for the Office of the CFO. Its cloud-enabled platform and pre-built connectors integrate with major ERPs (Oracle, SAP, Microsoft and 140+ others) to deliver financial reporting, budgeting/planning, consolidation, tax and lease lifecycle management, embedded analytics, and automation tools. The company serves finance, accounting, and operations teams with AI-enabled features, data virtualization, and turnkey templates to accelerate reporting, planning, and compliance.

📋 Description

• Define and maintain the AI Services strategy, roadmap, and quarterly priorities for agentic workflows, the tool and connector layer, and AI quality infrastructure • Make trade-off decisions on sequencing, scope, and technical direction, supported by evidence • Specify multi-step agent behavior, including planning, tool selection, memory, human-in-the-loop checkpoints, fallback paths, and guardrails • Translate ambiguous business problems into reliable agent designs for finance users • Own the Model Context Protocol surface and tool-interface roadmap • Decide which company data, actions, and product capabilities are exposed to agents and third-party assistants • Define contracts, versioning, and access controls for tool and connector interfaces • Build and own evaluation frameworks using golden datasets, offline and online evaluations, regression harnesses, accuracy and hallucination measurement, and production observability • Set AI quality bars that gate releases • Support portfolio product managers and engineering teams through intake, integration documentation, reference implementations, adoption guidance, and adoption measurement • Partner with the chief architect and engineering manager on design reviews, technical trade-offs, model and vendor selection, cost, and latency management • Participate in sprint planning and refinement and unblock product decisions • Define metrics including product-line adoption, agent task success rates, evaluation scores, cost per task, latency, and incident rates • Report outcomes and recommendations to senior leadership • Work with security, legal, and compliance on data handling, model governance, auditability, and customer trust concerns

🎯 Requirements

• 8 or more years in product management • At least two years owning AI products as a hands-on individual contributor • Demonstrated experience shipping large language model applications to production • Working technical fluency in agentic architectures, including 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 dataset construction, metric selection, and result interpretation • 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 participate in architecture discussions with senior engineers • Strong command of Agile delivery • Ability to influence cross-functional teams and senior stakeholders without formal authority • Excellent written communication • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • Preferred: experience taking AI capabilities to market in a B2B enterprise SaaS environment • Preferred: background in enterprise finance, accounting, ERP, or business intelligence domains • Preferred: experience managing inference cost, latency, and model routing across multiple providers at scale • Preferred: familiarity with AI security, data residency, and regulatory considerations • Preferred: prior experience as the first product hire on a team • Preferred: contributions to open source AI tooling, published evaluation work, or an active public presence in the agentic AI community

🏖️ Benefits

• Additional bonus eligibility may apply • Equal employment opportunity workplace • Confidential handling of applicant information • Background checks required for employment, where permitted by country, state/province