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Associate Product Manager B2B SaaS / AI & Automation

Job Description - Associate Product Manager B2B SaaS / AI & Automation

### Key Responsibilities
- Own product strategy, roadmap, prioritisation, and end-to-end feature delivery.
- Conduct customer discovery, analyse workflows, and translate business problems into scalable product solutions.
- Prepare PRDs, user stories, process flows, and acceptance criteria.
- Collaborate with Engineering, Design, QA, Data, and business teams to deliver product enhancements.
- Identify opportunities for AI, intelligent automation, and data-driven decision-making.
- Use SQL and product analytics to identify bottlenecks, track adoption, and measure feature performance.
- Manage product backlogs, sprint planning, releases, and continuous product improvement.
- Define success metrics for product features, including adoption, accuracy, operational efficiency, and customer impact.


### Required Skillset
- **Experience:** 3-4+ years relevant exp, with meaningful Product Management experience.
- **Domain:** B2B SaaS, e-commerce, logistics-tech, or supply-chain technology.
- **Product Ownership:** Proven experience managing features or modules from discovery through launch and optimisation.
- **AI Exposure:** Practical experience using AI tools for research, analysis, documentation, prototyping, or product workflows.
- **Data & Analytics:** Working knowledge of SQL and data-driven decision-making.
- **Product Documentation:** Strong experience with PRDs, user stories, acceptance criteria, and roadmap prioritisation.
- **Stakeholder Management:** Ability to work effectively with Engineering, Design, business teams, and customers.
- **Problem-Solving:** Ability to convert complex operational challenges into scalable product capabilities.


**Good to Have**
- Exposure to OMS, WMS, inventory management, marketplace integrations, or e-commerce fulfilment.
- Familiarity with AI/ML features, LLM applications, copilots, AI agents, or intelligent automation.
- Understanding of APIs, webhooks, and software architecture fundamentals.
- Familiarity with Jira, Confluence, Mixpanel, Amplitude, or Metabase.


**Education:** Bachelor’s degree in Engineering, Computer Science, Business, or a related field. MBA is an added advantage.


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