Product Ops Manager partnering with Product Management team to improve product operations at Wati. Designing systems, coordinating teams, and enhancing product effectiveness.
Responsibilities
Design and evolve frameworks for prioritization and roadmap alignment that scale across product lines. Implement knowledge management systems to preserve product context, decisions, and customer insights
Partner across different product teams to establish aligned success metrics, help plan product town-halls, cross-linked quarterly roadmaps and work with delivery PMOs to ensure smooth execution without duplicating efforts
Ensure product managers have structured access to customer and market feedback to inform their roadmaps. Design and facilitate cross-functional coordination between product, product marketing & growth marketing, sales, and customer success teams to improve launch readiness, feedback loops & go-to market alignment
Build mechanisms for roadmap visibility and communication to different audiences (leadership, engineering, GTM teams, customers)
Work with Product Analytics and PMs to define north star and product health metrics across teams and ensure they are used in roadmap related pre and post launch learning and reviews.
Streamline tooling used, documentation practices across different product teams and introduce standardized templates and processes only where they reduce friction or improve clarity
Continuously identify bottlenecks in product workflows and implement improvements that increase decision speed and reduce rework. Measure and improve product team effectiveness (e.g., decision cycle time, launch predictability, PM time spent on strategy vs admin)
Requirements
Fluent in English (spoken and written); able to use English as a working language.
Bachelor’s degree or above, with at least 5 years of Product Operations, Business Operations, Program Management, Product Analytics, or similar roles supporting product organizations in a product-led or SaaS environment
PMP, PRINCE2, or ACP certification is a plus.
Demonstrated experience improving cross-team product processes, metrics alignment, or decision-making systems at scale
Strong communication, stakeholder influence, and systems-thinking skills; comfortable driving change without direct authority
Comfort working with product data, metrics, and experimentation frameworks (not necessarily as an analyst)
Proficiency with product and collaboration tools such as Jira, Workday, Notion, Heap/Amplitude.
Familiarity with AI assistants and automated workflow tools (GPT, Zapier, Make) for reporting and data synchronization.
Nice to have: experience with AI agent tools and workflow platforms such as Dify or n8n.
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