Own the strategy, vision, and roadmap for SaaS products that elevate customer experience through data-driven insights
Lead end-to-end product lifecycle from discovery through delivery and iteration, ensuring alignment with business objectives
Drive creation of data-driven tools leveraging data science and machine learning for client-facing and internal applications
Translate analytical models into scalable solutions that unlock business value
Collaborate closely with software engineering, data engineering, data science, analytics, and design across global locations
Own backlog grooming and release cycles; transform requirements into precise product specifications for on-time, high-quality delivery
Integrate quantitative and qualitative research, A/B testing, usability studies, and customer feedback into product planning
Use tools like Pendo to monitor feature usage, track KPIs, and drive data-informed iterations
Contribute to technical discussions, validate feasibility, and ensure alignment between product intent and engineering implementation
Engage cross-functional teams and influence senior stakeholders; remove blockers and communicate trade-offs, timelines, and business impact
Define, track, and analyze key product metrics to evaluate success and inform roadmap decisions
Requirements
6+ years in Product Management in high-growth tech company or equivalent experience leading software or data products in close collaboration with engineering
Bachelor’s degree in a relevant field (e.g., Science, Engineering, Computer Science)
Proven success delivering SaaS products end-to-end, ideally in data-intensive or analytics-focused domains
Experience working in agile environments; proficiency with Jira and product development lifecycles
Familiarity with core software engineering concepts, technical feasibility trade-offs, and modern development workflows
Understanding of engineering best practices around quality and CI/CD
Experience defining detailed product requirements, writing user stories, and managing backlogs
Hands-on expertise with A/B testing, quantitative and qualitative research, usability testing, and customer feedback loops
Working knowledge of data infrastructure, data pipelines, and governance principles
Fluency in experimentation, usage analytics, and product performance tracking (experience with Pendo, Mixpanel, Amplitude, etc.)
Strong prioritization and decision-making skills; ability to lead autonomously in ambiguous environments
Exceptional communication skills with ability to influence cross-functional teams and senior stakeholders
Detail-oriented and proactive; comfortable validating features through edge case testing and ensuring product quality