Datacor - Senior Product Manager Lead, AI-Native Cloud ERP (Accounting & Finance)
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Requirements
• Deep accounting expertise with hands-on knowledge of general ledger, AR/AP, cost accounting, inventory accounting, and financial close; CPA or CMA strongly preferred. • Deep accounting expertise • ERP, accounting, or financial software • Experience building net-new B2B SaaS products (0→1) or major greenfield initiatives within established platforms. • net-new B2B SaaS products (0→1) • Direct experience product managing AI-based or data-driven products, beyond superficial “AI feature” work. • AI-based or data-driven products • Technically fluent—comfortable discussing architecture, APIs, data models, and integrations. • Has built or coded applications (commercial products, internal tools, or serious side projects). • Actively uses AI in day-to-day work to accelerate thinking, writing, discovery, and execution. • Strong product judgment with the ability to operate in ambiguity and define structure where none exists. • Opinionated but pragmatic—able to challenge assumptions while driving forward momentum. • Equally credible with engineers, designers, and finance leaders. • Motivated by building something new that materially improves how people work. • EOE Statement
Responsibilities
• Define the product vision, problem space, and guiding principles for a new AI-native ERP focused on accounting and core financial workflows. • Translate accounting, finance, and operational realities into scalable product concepts, domain models, and system behavior. • Lead 0→1 product discovery and delivery—from concept validation through early customer adoption. • Identify and design AI-first workflows across accounting and finance (e.g., intelligent automation, anomaly detection, predictive insights, and AI-assisted close). • Partner with engineering and data teams to embed AI into the core of the product—not as features, but as foundational capabilities. • Operate with a builder’s mindset—comfortable creating prototypes, exploring APIs, working with data, and validating ideas through hands-on experimentation. • Write clear, outcome-driven product briefs, epics, and user stories that align engineering, design, and stakeholders. • Make pragmatic trade-offs that balance accounting correctness, usability, scalability, and speed. • Engage directly with finance leaders, controllers, and operators in process manufacturing to deeply understand pain points and workflows. • Validate product direction through pilots, design partnerships, and early access programs. • Shape product-market fit by grounding decisions in real customer outcomes rather than legacy ERP conventions.
Benefits
• Direct reporting line to Vice President of Product for leadership guidance. • Opportunity to define the future direction of AI-native ERP in accounting and finance sectors. • Engagement with industry leaders directly to understand pain points and workflows firsthand. • Accessibility through early pilots, design partnerships, and programs tailored for customer feedback on product concepts.
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