Senior Product Manager

Summary

Join Algolia's team as a Senior Product Manager to deliver a world-class events data platform and integration experiences for customers. The ideal candidate has experience in using data insights to plan and build integrations, working with external customer integration needs and internal customers' event-powered features.

Requirements

• 5+ years of experience as a product manager
• Experience working with multiple cross-functional teams to deliver successful product launches and achieve business goals
• Excellent communication skills, with the ability to clearly articulate complex ideas and influence stakeholders at all levels
• Strong analytical skills and data-informed decision-making
• Big picture thinking, while still applying attention to the details
• Drive, with an ownership mentality

Responsibilities

• Drive adoption of events integrations with our customers, and empower internal teams to use valuable event data to develop AI features
• Own and execute a compelling product roadmap for our event platform and integrations, based on customer insights and strategic goals
• Build a strong collaborative relationship with the engineering team, establishing and communicating the OKRs, metrics, roadmap, and product requirements
• Work closely with other cross-functional teams, including design, research, sales, marketing, and customer support, to deliver successful product launches for our customers, helping us to achieve our ambitious business goals
• Engage with our customers, developing deep insights and uncovering unarticulated needs and opportunities
• Use analytical and quantitative skills to help drive decision making and to also manage the business ‘by the numbers’
• Act as a subject matter expert for event ingestion, staying up-to-date on the latest trends and developments in the market

Preferred Qualifications

• Experience with a focus on customer event data, or data platforms and integrations
• Experience at our current stage and beyond (10,000+ customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure)
• Familiarity with search and discovery technologies
• Familiarity with ML/AI technologies