Product Manager
Owns strategy and execution for AI-driven enterprise products, translating customer workflows and model capabilities into scalable features. The role partners across engineering, data science, GTM, and customer teams and requires B2B product experience, enterprise-platform expertise, and strong analytical judgment.
About the job
Responsibilities
- Conduct market and customer analysis to identify pain points and unmet needs.
- Define product strategy, roadmap, and success metrics for assigned product areas.
- Identify and prioritize high-value AI use cases based on ROI, feasibility, risk, and time-to-value.
- Work with customers, sales, and solutions teams to understand real-world workflows and pain points.
- Build prioritized product requirements and translate them into an actionable engineering backlog.
- Partner with Engineering in an agile environment to deliver high-quality features quickly.
- Provide feedback and clarification throughout the development lifecycle.
- Collaborate with Sales, Marketing, and GTM teams on product positioning, storytelling, and launches.
- Support customer implementations and product adoption.
- Articulate customer needs, tradeoffs, and priorities while driving execution.
Requirements
- Experience building and scaling B2B products.
- Strong background in ERP or enterprise platforms such as Salesforce, SAP, Oracle, or ServiceNow.
- Experience building or launching AI-driven products.
- Ability to create high-fidelity requirements and conceptual prototypes using tools such as Cursor, Replit, or Lovable.
- Excellent written and verbal communication skills.
- Strong analytical skills and a bias toward measurable outcomes and experimentation.
- Strategic thinking, effective prioritization, and sound judgment.
- Deep understanding of agile product development methodologies.
- Strong collaboration skills across engineering, GTM, and customer-facing teams.
- Engineering awareness, including comfort discussing platforms, architectures, and tradeoffs.
Nice-to-haves
- Experience with workflow engines, data harmonization across enterprise platforms, industry-specific enterprise solutions, code remediation, or platform modernization.
- Product storytelling and go-to-market experience.
- UX sensibility and the ability to visualize AI-driven user experiences.
Compensation and Benefits
- High ownership, high impact, and direct influence on product direction.
- Opportunity to build AI products for complex enterprise workflows at the intersection of AI, ERP systems, and automation.
- Collaboration with a technical and customer-focused team.
Skills
Product Strategy, Product Roadmapping, B2B Products, Enterprise Resource Planning, Salesforce, SAP, Oracle, Servicenow, Artificial Intelligence, Machine Learning, LLMs, Agile Development, Data Harmonization, Workflow Engines, Product Prototyping
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