Senior Product Manager Lead, AI-Native Cloud ERP (Accounting & Finance)
DatacorRemote, USPosted 21 March 2026
Job Description
About Us:
Datacor
is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our
customers’
most difficult problems.
We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at
Datacor
help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.
Datacor
is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our
customers’
most difficult problems.
Datacor is building a brand-new, AI-native, cloud-based ERP platform from the ground up—designed for modern process manufacturers and finance teams who have outgrown legacy ERP systems. This role is not about maintaining or incrementally improving an existing ERP. It is about defining what ERP should look like when accounting expertise, cloud architecture, and artificial intelligence are treated as first principles.
We are looking for a senior Product Manager to serve as a foundational product leader for this new platform—someone who brings deep accounting credibility, hands-on product-building experience, and real-world experience product managing AI-driven software.
This role reports directly to the Vice President of Product.
The Role:
Foundational Product Leadership • 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.
AI-Native Product Development • 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. • Personally leverage AI tools to accelerate market research, competitive analysis, product briefs, epics, stories, and prototyping.
Hands-On Product Building • 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.
Customer Market Discovery • 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.
Cross-Functional Leadership • Work closely with Engineering, UX, Data, Strategy, and early GTM teams to move quickly and cohesively. • Communicate product vision, priorities, and trade-offs clearly to executives and peers. • Help establish modern product discovery and delivery practices appropriate for an early-stage, high-ambition platform.
Qualifications:
Deep accounting expertise with hands-on knowledge of general ledger, AR/AP, cost accounting, inventory acco ... (truncated, view full listing at source)
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