
201 - 500 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Chemical
Datacor, Inc. is a leading provider of advanced process manufacturing software, offering integrated ERP and CRM solutions to maximize productivity and business growth. Their software solutions cater to the chemical, food & beverage, personal care, industrial, coatings & adhesives, and animal feed & pet food nutrition industries. Datacor provides industry-specific, configurable technology to enhance operational visibility and control, helping businesses manage complex pricing, formulas, and specifications while complying with government regulations. With a strong reputation as industry experts, Datacor is recognized for its robust support during software implementation and ongoing customer collaboration, particularly excelling in chemical distribution software.
🕒 February 4
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201 - 500 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Chemical
Datacor, Inc. is a leading provider of advanced process manufacturing software, offering integrated ERP and CRM solutions to maximize productivity and business growth. Their software solutions cater to the chemical, food & beverage, personal care, industrial, coatings & adhesives, and animal feed & pet food nutrition industries. Datacor provides industry-specific, configurable technology to enhance operational visibility and control, helping businesses manage complex pricing, formulas, and specifications while complying with government regulations. With a strong reputation as industry experts, Datacor is recognized for its robust support during software implementation and ongoing customer collaboration, particularly excelling in chemical distribution software.
• 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. • Personally leverage AI tools to accelerate market research, competitive analysis, product briefs, epics, stories, and prototyping. • 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. • 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.
• Deep accounting expertise with hands-on knowledge of general ledger, AR/AP, cost accounting, inventory accounting, and financial close; CPA or CMA strongly preferred. • Significant experience product managing ERP, accounting, or financial software used by finance teams in complex B2B environments. • Experience building net-new B2B SaaS products (0→1) or major greenfield initiatives within established platforms. • Direct experience product managing AI-based or data-driven products, beyond superficial “AI feature” work. • 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.
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