REQUIRED SKILLS & EXPERIENCE :

Skills & Experience :

- 7-9 years of experience in product operations, product management, program management, or a closely related function within a software or technology company.

- Deep, hands-on understanding of the full product development lifecycle, from strategy and discovery through execution, launch, and iteration.

- Demonstrated experience operationalizing AI tools within a product or technology workflow not just familiarity, but practical implementation and adoption at team scale.

- Strong command of product tooling ecosystems, including roadmapping tools (e.g., Productboard, Aha!), project tracking (e.g., Jira, Linear), and documentation platforms (e.g., Confluence, Notion).

- Proficiency in data analytics and dashboarding tools (e.g., Tableau, Looker, SQL, or equivalents) to build and maintain product intelligence infrastructure.

- Experience designing and implementing OKR or KPI frameworks and connecting product metrics to business outcomes.

- Familiarity with Agile and SAFe methodologies; ability to adapt and improve these frameworks for the organizations needs rather than apply them prescriptively.

- Insurance technology or B2B SaaS industry experience is strongly preferred.

KEY RESPONSIBILITIES :

Product Process Design & Optimization :

- Own and continuously improve the end-to-end product development process, from ideation and discovery through delivery and post-launch review.

- Define and maintain standard operating procedures, playbooks, and frameworks for product planning, prioritization, sprint execution, and roadmap management.

- Identify bottlenecks, redundancies, and process gaps across the product lifecycle and implement targeted solutions to improve throughput and quality.

- Drive consistent adoption of product processes across multiple product teams and ensure alignment with engineering and QA practices.

- Lead the design and rollout of product operating cadences, including planning ceremonies, sprint reviews, retrospectives, and portfolio reviews.

AI & Emerging Technology Integration :

- Champion the adoption of AI tools and technologies within the product development workflow, including AI-assisted discovery, roadmap analysis, requirements generation, and documentation.

- Evaluate, pilot, and operationalize AI-powered tools (e.g., LLM-based assistants, intelligent prioritization engines, automated testing tools) to increase product team velocity and decision quality.

- Stay current on the AI landscape relevant to product operations and serve as a subject matter expert on practical AI applications in product contexts.

- Partner with engineering and data teams to build AI-enabled internal tooling that surfaces insights, automates repetitive product tasks, and reduces cognitive overhead for product managers.

- Develop and maintain guidelines and governance frameworks for responsible, effective use of AI in product workflows.

Product Tooling & Systems :

- Own the product teams tooling stack including roadmapping tools, backlog management systems, documentation platforms, and analytics dashboards.

- Manage integrations between product tools (e.g., Jira, Confluence, Productboard, Figma, or equivalents) and ensure data consistency and traceability across systems.

- Define and enforce data hygiene standards across product systems to enable reliable reporting and cross-team visibility.

- Drive vendor evaluation and selection for new product tooling, including requirements gathering, RFPs, and stakeholder alignment.

- Build and maintain self-serve dashboards and reporting infrastructure that give product leaders real-time visibility into team health, delivery progress, and product outcomes.

Product Intelligence & Analytics :

- Design and maintain product KPI frameworks, OKR tracking systems, and outcome measurement processes that connect product activity to business impact.

- Partner with data and analytics teams to build product usage analytics pipelines and customer behavior dashboards that inform product decisions.

- Synthesize data from product usage, customer feedback, market research, and internal operations into actionable intelligence for product leadership.

- Drive regular product performance reporting to senior leadership, including product health scorecards and initiative progress reviews.

- Own the feedback loop between customer insights, support data, and product planning to ensure the voice of the customer is embedded in the product process.

Cross-Functional Coordination & Enablement :

- Serve as the primary liaison between the product organization and functions, including Engineering, Sales, Customer Success, and Finance on process, tooling, and operational matters.

- Facilitate alignment sessions, cross-team dependencies tracking, and risk escalation processes to minimize delivery friction.

- Lead onboarding for new product team members, including process education, tooling access, and product ops orientation.

- Build and maintain a product operations knowledge base to institutionalize best practices and reduce reliance on tribal knowledge.

- Mentor and guide PMs and junior product operations staff on effective use of processes, tools, and AI capabilities.