- Company Name
- Zego
- Job Title
- Senior Platform Product Manager
- Job Description
-
**Job Title:** Senior Platform Product Manager
**Role Summary:**
Lead the strategic direction and execution of Zego’s Pricing Platform, driving a year‑long transformation to support rapid growth. Own quarterly planning, stakeholder alignment, and delivery of platform enhancements that enable actuaries, data scientists, underwriters, and engineers to work faster and more effectively.
**Expectations:**
- Deliver measurable impact in a fast‑paced, high‑growth environment.
- Operate as a self‑starter with strong ownership, accountability, and bias for action.
- Demonstrate deep technical literacy to engage with engineering, APIs, ML models, and service architecture.
- Apply data‑driven decision‑making using analytics tools (e.g., SQL, Amplitude, Looker).
- Navigate multiple business domains, balancing competing priorities.
- Communicate clearly and influence stakeholders at all organizational levels.
- Show curiosity and experimentation with AI tools to improve productivity.
**Key Responsibilities:**
- Define and own the quarterly strategy for the Pricing Platform and contribute to long‑term roadmap.
- Discover, prioritize, and scope initiatives aligned with Zego’s growth objectives.
- Translate complex business requirements into clear, actionable product specifications.
- Analyze system dependencies, assess risks, and make informed trade‑offs.
- Partner with cross‑functional teams (engineering, data, legal, compliance, pricing) to align priorities and deliver outcomes.
- Lead end‑to‑end delivery of prioritized features, ensuring timely release.
- Establish and monitor KPIs for platform reliability, scalability, and business impact; drive continuous improvement based on data.
**Required Skills:**
- Proven product management experience in platform‑oriented roles, preferably within insurance, financial services, or pricing domains.
- Strong technical background (engineering, data science, or similar) with ability to discuss architecture, APIs, and ML services.
- Advanced analytical skills; proficient in querying and visualizing data (SQL, Amplitude, Looker, etc.).
- Excellent problem‑solving ability to untangle complexity and manage dependencies.
- Outstanding written and verbal communication; adept at stakeholder management and influencing.
- Bias for action, high ownership, and ability to thrive in ambiguous, fast‑changing environments.
- Interest in AI/ML tools and willingness to experiment for productivity gains.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field (or equivalent experience).
- Advanced degree (e.g., MSc, MBA) and/or product management certification (e.g., AIPMM, Pragmatic Marketing) are advantageous but not mandatory.