VP, Product Management - Applied Intelligence

Billtrust is a leader in B2B accounts receivable workflow and payment software, providing AI-powered solutions for the finance sector. The VP of Applied Intelligence will define and execute the AI vision for the company, overseeing the product strategy and leading a high-performing team to innovate within the B2B finance landscape.

Responsibilities:

• Set Billtrust’s Applied Intelligence vision and multi-year product roadmap, establishing the strategic framework that guides how AI shapes every layer of the AR lifecycle
• Serve as a member of the Product leadership team, shaping company-wide product strategy and influencing investment priorities at the executive level
• Define the operating model for how Applied Intelligence is built, deployed, and continuously improved — including governance, evaluation standards, and responsible AI principles
• Own the end-to-end product lifecycle for Billtrust’s AI-powered capabilities — from opportunity identification and experimentation through scaled delivery and ongoing iteration — leveraging co-worker agents and AI tooling to compress timelines and raise quality
• Establish rigorous frameworks for evaluating AI product performance, accuracy, reliability, and customer safety before and after deployment
• Drive a culture of bold experimentation: define hypotheses, design tests, interpret results, and champion the learnings that most accelerate product-market fit
• Partner with Engineering, Data Science, and Design to translate frontier AI capabilities into intuitive, production-grade customer experiences
• Recruit, develop, and retain a high-caliber team of product managers and applied AI practitioners, building one of the most sought-after AI product organizations in B2B fintech
• Champion AI-first ways of working across the entire Product organization, setting the standard for how leaders and ICs leverage AI tools to amplify impact
• Create clear career pathways and a coaching culture that elevates team members into future leaders of AI product development
• Serve as Billtrust’s most senior external voice on Applied Intelligence — representing the company at industry events, in analyst conversations, and in strategic customer and partner engagements
• Partner with Sales, Marketing, and Customer Success to ensure AI differentiation is clearly communicated and consistently converted into pipeline and retention
• Engage directly with key customers to co-create AI solutions, gather strategic insight, and validate roadmap direction against real-world complexity

Requirements:

• 12+ years of experience in product management, applied AI, or a related field, with significant tenure in executive or senior VP-level product leadership
• Demonstrated experience setting AI strategy and driving AI-first transformation at scale across a product organization or business unit
• Deep understanding of machine learning, large language models, agentic AI frameworks, and how these capabilities translate into production-grade B2B product experiences
• Proven track record of building and scaling high-performing applied AI product teams in a fast-moving enterprise SaaS or fintech environment
• Fluency in FinTech data: how financial data is structured, how it flows across ERP systems, payment networks, and AR workflows, and why data quality and latency matter differently in financial contexts than in general SaaS
• Executive presence and communication skills that inspire confidence across the C-suite, board, customers, partners, and external audiences
• Strong commercial acumen — able to connect AI product investment directly to revenue growth, retention, and competitive differentiation
• Direct experience in Order to Cash, accounts receivable, cash application, collections, or B2B payments — either building products in this space or operating within it at enterprise scale
• Familiarity with the data structures and integration patterns common in AR automation: ERP connectors, remittance data, invoice line-item detail, payment status feeds, and buyer identity resolution
• Hands-on familiarity with agentic AI architectures, retrieval-augmented generation (RAG), or multi-model orchestration in enterprise production environments
• Track record of representing product vision externally — at conferences, in analyst briefings, or in strategic customer advisory settings
• Experience co-creating AI solutions with enterprise customers and translating those partnerships into roadmap impact and revenue