Product Manager - ERP & AI Platforms

About the role

Flipspaces is building technology products that power how our teams, clients, and partners work. We are looking for a hands-on Product Manager who can own problems from discovery to adoption across ERP workflows, AI-powered products, and client/vendor platforms. You should be comfortable moving between users, data, design, engineering, testing, rollout, and rapid prototyping.

What you'll work on ERP workflows: Project execution, approvals, payments, reporting, operations, and delivery. AI-powered experiences: Features that reduce manual effort, automate workflows, improve decision making and surface insights. Internal and external platforms: Products used by business teams, clients, vendors, and leadership.

Key responsibilities

Discover & define. Talk to users, understand real workflows, identify pain points, and convert ambiguous asks into clear problem statements and requirements. Shape solutions. Write crisp PRDs, user stories, acceptance criteria, workflows, edge cases, and MVP scopes. Partner closely with UI/UX. Prioritize. Maintain the backlog and recommend priorities using user impact, business impact, effort, urgency, and strategic value. Drive delivery. Work with engineering through development, clarify decisions, review builds, test workflows, and ensure release readiness. Own adoption. Plan launches, demos, training, release communication, and follow-up improvements to drive user adoption. Measure & improve. Track usage and adoption, identify drop-offs or friction, and translate data and feedback into product improvements. AI-first product thinking. Use AI tools and LLM APIs throughout discovery and delivery to test ideas quickly, improve workflows, and identify high-value AI product opportunities. AI PRDs. Define expected model behavior, inputs/outputs, guardrails, fallbacks, edge cases, success metrics, and human-in-the-loop requirements for AI features. AI prototyping. Build fast proofs of concept using LLMs, agents, APIs, no-code/low-code tools, and AI-assisted coding before committing significant engineering effort. AI evals. Create representative test cases and evaluation criteria for quality, relevance, reliability, latency, cost, and failure modes; use results to iterate before and after launch.

What we're looking for

• 3-5 years of experience in Product Management, Business Analytics, Program Management, or a closely related role.

• Strong structured thinking and the ability to simplify complex workflows and ambiguous requirements.

• Experience working closely with users, design, engineering, and senior stakeholders.

• Strong written and verbal communication; comfortable presenting, training, and driving alignment.

• Ownership mindset across discovery, prioritization, execution, rollout, and continuous improvement.

• Working knowledge of LLMs and AI agents, including prompting/context, tool use, model limitations, hallucinations, and how to evaluate AI behavior.

• Hands-on comfort using AI tools for product work, including rapid prototyping, AI-assisted development, and experimentation with LLM-based workflows.

Strong plus

• Background in Computer Science, Engineering, or Technology.

• Hands-on exposure to LLM APIs, RAG, agentic workflows, AI eval frameworks, or AI prototyping tools; experience with ERP, workflow, B2B SaaS, or internal tools is also valuable.

• Basic understanding of APIs, databases, product analytics, and adoption measurement.