Product Manager - Integrations
Own the vision, strategy, roadmap, and growth of a portfolio of data connectors and analytical use cases. The role requires product management experience, strong SQL and analytical skills, customer empathy, and close collaboration with engineering, operations, analytics, and design teams.
About the job
Responsibilities
- Manage a portfolio of connector products and analytical use cases, contributing to strategic decisions and revenue growth.
- Build the portfolio vision, strategy, and roadmap.
- Understand analysts’ questions, identify needed data sources, and design effective data schemas.
- Prioritize the most important product improvements.
- Collaborate with analytics and business partners on reporting and ad hoc analysis.
- Work with engineering and operations teams to deliver high-quality data.
- Drive growth and adoption of the SaaS Connector Portfolio, guided by Revenue Weighted Usage.
Requirements
- Strong SQL skills.
- Product management experience, preferably for B2B SaaS products.
- Track record of shipping data products with measurable results.
- Ability to develop customer empathy and articulate customer problems.
- Experience using data and analytics to solve problems and make decisions.
- Ability to collaborate effectively with engineers and designers.
- Excellent written and verbal communication and ability to influence partners.
- High technical and analytical acumen.
- Customer-focused approach to delivering significant value.
Compensation and Benefits
- Oakland pay range: $181,670.83–$218,013.71 USD.
- 100% employer-paid medical insurance.
- Paid time off, paid sick time, parental leave, holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company events, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and mindfulness resources.
Skills
SQL, Product Management, B2B SaaS, Data Products, Data Analytics, Data Schemas, Revenue Optimization, Roadmapping, Customer Empathy, Data Modeling
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