Top Product Management Jobs

Leads digital product strategy and delivery for client engagements, from discovery through execution and go-to-market. Defines product vision, gathers requirements, creates user stories and process artifacts, advocates for users, measures product impact, and drives improvements. Facilitates workshops, supports stakeholder adoption, mentors colleagues, contributes to thought leadership and business development, and collaborates with cross-functional teams in a consulting environment.

Drive the roadmap and growth of Gitar, Sonar’s agentic code review product. Research customer and developer needs, prioritize opportunities, shape product vision and positioning, and coordinate integration with SonarQube. Partner with engineering, founders, sales, marketing, and customer success to deliver cross-product features, meet enterprise trust requirements, support go-to-market efforts, and evolve product management processes.

Leads global product strategy and lifecycle management from definition through end of life. Drives product innovation, market research, competitive analysis, commercialization, pricing, and go-to-market planning. Develops roadmaps, aligns cross-functional teams, identifies growth opportunities, and oversees multiple initiatives. The role also promotes AI and agile practices, advances technology, mentors team members, and cultivates collaborative, innovative product environments.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Owns the end-to-end lifecycle for customer-facing mobile and web IoT products, from discovery and strategy through roadmap development, requirements, launch, and post-launch optimization. Partners with engineering, marketing, operations, legal, business development, and customer success teams to deliver innovative solutions for small businesses and insurance applications. Uses customer research, product analytics, prioritization, and cross-functional consensus-building to drive product success.

The Product Operations Manager will drive the scaling of housing products, manage compliance projects, enhance offerings, and conduct client discovery sessions.

Own the Ascent AI enablement platform roadmap across engineering and enterprise programs. Prioritize shared infrastructure, define specifications, close capability gaps, measure maturity, and connect AI usage to business value. Partner with engineering teams without direct authority, communicate roadmap decisions to technical and nontechnical stakeholders, and stay hands-on with AI coding agents and developer tools.

Leads cloud product ownership for Special Access Program modernization, including cloud migrations, optimization, backlog prioritization, Agile delivery, release coordination, KPI monitoring, and stakeholder communication. Guides DevSecOps teams, partners with architects on cloud-aligned integrations, promotes Infrastructure as Code and Configuration as Code, resolves blockers, and coordinates modernization milestones and production releases.

Supports the development, prioritization, testing, launch, and continuous improvement of AI-powered marketing products. Partners with marketers, product leaders, data scientists, engineers, UX, and change-management teams to translate business needs into product requirements, manage backlogs and testing, monitor adoption, resolve issues, and promote AI-enabled workflows across commercial teams.