Senior Product Manager II leading AI-driven financial automation solutions for small and mid-sized businesses. Collaborating across teams to redefine payables management and enhance user experience.
Responsibilities
Own end-to-end product strategy for a major area within the accounts payable and invoice management experience.
Define vision, metrics, and roadmap that connect customer outcomes (speed, accuracy, trust) with business growth goals.
Partner with AI/ML and design teams to embed intelligent automation, prediction, and conversational guidance into payables workflows.
Translate customer pain points into adaptive solutions that reduce friction and continuously improve through learning loops.
Collaborate cross-functionally with Engineering, Data, Design, Finance, and Marketing to deliver intuitive, high-quality features from concept through launch.
Leverage data and behavioral insights to refine models for invoice classification, payment reconciliation, and anomaly detection.
Champion explainable automation — ensuring transparency in decisioning logic and maintaining trust across finance users.
Drive GTM readiness by aligning with Finance, Marketing, and Customer Success on launch positioning, pricing, and adoption strategies.
Monitor market and technology trends in AI, accounting automation, and mid-market SaaS to inform long-term product direction.
Communicate roadmap priorities and trade-offs clearly across stakeholders, balancing customer value with execution feasibility.
Requirements
7+ years of Product Management experience in SaaS or financial software.
Demonstrated success shipping data-driven or AI-enabled products in accounting, payments, or source-to-pay domains.
Proven ability to translate complex business rules into intelligent, scalable systems.
Experience partnering closely with engineering and design teams to deliver high-impact B2B software.
Preferred: Experience in SMB or Mid-Market financial products and workflow automation.
Familiarity with invoice processing, reconciliation, and supplier enablement systems.
Understanding of data and model lifecycle management, including feedback loops, accuracy metrics, and human-in-the-loop systems.
Strong product analytics foundation (SQL, Amplitude, Mixpanel, or equivalent) and ability to connect data insights to user experience.
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