Own strategy, execution, commercialization, and measurable business outcomes for a critical AR automation product area. Lead AI-first product evolution, customer discovery, experimentation, platform modernization, product economics, go-to-market, adoption, and cross-functional alignment. Partner closely with engineering and stakeholders to build scalable products, platforms, and APIs that improve cash flow, efficiency, retention, and customer experience.
About Versapay 🚀
Versapay is the platform that rewires AR by removing barriers from collecting and reconciling B2B payments, providing end-to-end cash flow clarity and ensuring businesses can manage working capital on their terms.
By closing the loop for finance teams and their business systems, customers, and payment activity into a single intelligent ecosystem, Versapay transforms money matters into a data-driven advantage. With 10,000 customers and 5M+ companies transacting, Versapay facilitates 110M+ transactions and processes $300B+ in payments volume annually.
Think you might be the next Veep to join? Read on!!
How you’ll make a big impact here – and on your career:
As a Senior Product Manager on the Versapay AR Automation team, you will act as the single accountable owner for a critical product area, responsible for delivering measurable business outcomes—not just features. You will lead the evolution of our AR platform into an AI-first, highly automated, and scalable system that drives meaningful improvements in cash flow, efficiency, and customer experience.
You will operate as a GM for your domain, owning strategy, execution, and commercial success. This includes defining what we build and why, validating opportunities through experimentation, and ensuring successful adoption and performance post-launch.
What You'll Do (Key Competencies):
- Own measurable business outcomes (adoption, revenue, unit economics, retention) and adjust strategy based on performance signals.
- Act as the single accountable owner for your product area, making decisions based on data, customer insight, and strategy—not stakeholder opinion.
- Operate with an AI-first mindset—leveraging AI across discovery, prototyping, and product capabilities.
- Define and evolve product strategy with clear narratives, including customer problem, expected impact, assumptions, and risks.
- Own or influence product economics, including revenue performance, cost-to-serve, and monetization strategy.
- Drive end-to-end product lifecycle from discovery through commercialization, ensuring delivery translates into real business impact.
- Design and run structured experiments (concept tests, pilots, pricing tests) to validate opportunities before scaling.
- Continuously modernize your product, improving architecture, reducing technical debt, and adopting new technologies.
- Apply systems thinking to design scalable, end-to-end customer journeys across workflows, data, and platform components.
- Own go-to-market outcomes end to end, including positioning, enablement, adoption, and commercial success.
- Partner cross-functionally to drive alignment, influence decisions, and operationalize product changes.
- Drive towards self-serve, scalable product experiences that reduce operational friction.
- Synthesize customer insight, product data, and market signals to continuously refine priorities.
- Lead through influence in a complex environment, making clear decisions under ambiguity.
- Create clarity through strong written artifacts, decision frameworks, and communication.
- Foster a high-performance, low-ego culture grounded in accountability and collaboration.
What You'll Bring To The Team:
- 7+ years of experience in product management, preferably in B2B, fintech, or payments.
- Proven track record of owning and delivering measurable product outcomes.
- Experience building and scaling complex products, platforms, or APIs.
- Experience launching AI/ML products or features.
- Strong analytical mindset with ability to translate data into decisions.
- Experience designing and running experiments to validate product direction.
- Comfort operating in ambiguous, fast-moving environments with a bias toward action.
- Strong technical fluency and ability to partner deeply with engineering.
- Excellent communication and stakeholder management skills, including executive audiences.
- Passion for customer problems and delivering meaningful, measurable value.
What Will Make You Stand Out (Nice to Have):
- Experience with AR, payments, or financial workflow automation.
- Experience applying AI/ML to product development or product capabilities.
- Strong systems-thinking mindset with the ability to design scalable solutions.
- Experience influencing pricing, packaging, or go-to-market strategies.
- Hands-on experience with product analytics or data tooling.
#LI-Remote
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Own the strategy, roadmap, execution, and customer experience for Cloudflare’s zero-day protection products, beginning with WAF Managed Rules. Responsibilities include coordinating security research, engineering, legal, communications, and customer teams; defining emergency protection workflows; improving vulnerability discovery and remediation; managing disclosure communications; and representing Cloudflare in the security community.
Top Skills:
APIsCode ScanningHTTPSecurity-Rule ManagementSIEMThreat IntelligenceWeb Application Firewall (Waf)
%20copy.jpg)
Software
Own mobile product strategy across 8am’s brands, leading customer discovery, AI-native prototyping, and delivery with a two-engineer team. Define mobile priorities, build customer-tested experiences, bring AI agents and payment capabilities to mobile, and manage app quality, releases, analytics, and adoption. Partner cross-functionally with product, marketing, sales, customer success, payments, and AI platform teams. The role requires strong mobile product management, customer discovery, AI, UX, and regulated-industry experience.
Top Skills:
Ai AgentsAi EvaluationsAndroidApp StoreCard-Present PaymentsClaudeCrash ReportingCross-Platform MobileDigital WalletsGoogle PlayiOSLlmsMobile AnalyticsTap To Pay
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Owns the full lifecycle of enterprise AI and agentic products, from identifying business use cases and defining requirements through deployment, evaluation, optimization, and adoption. Partners with engineering, product, program, and business teams to build LLM, RAG, and multi-agent solutions, establish quality frameworks, analyze performance metrics, and deliver scalable AI-driven workflows and analytics capabilities.
Top Skills:
Agent OrchestrationAWSAzureBig Data AnalyticsData PipelinesEnterprise Data ArchitecturesGCPLarge Language Models (Llms)Machine LearningModel Context Protocol (Mcp)Multi-Agent SystemsNlpPythonRetrieval-Augmented Generation (Rag)Sdlc
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
