Senior Product Manager, Reporting and Analytics

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Please take a look at remote.com/handbook to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.

All of our positions are fully remote. You do not have to relocate to join us!

The position

This is your opportunity to build a product from the ground up and have complete ownership of a premium product area. Your mission? Build data-driven reporting and analytics capabilities in the Remote platform so that Remote’s users can access powerful insights to make informed decisions.

Beyond constructing reports and analytics for end users, you will assess the reporting and analytics requirements of various internal product teams and establish a robust reporting platform upon which other product teams can innovate and expand.If you are passionate about data and experimenting with innovative technologies to create outstanding user experiences, we invite you to join us. Your vision will contribute directly to Remote’s status as a leader in the global employment space, as well as the company’s overall growth and success by driving new customer acquisition and retention.

What you bring

• Experience: 3+ years of combined experience as a product manager and in a high growth environment. A proven track record building reporting and analytics products that can scale. Experience working in HR Tech is a bonus.
• Vision: With your vision, Remote will shine as the leading platform for decision makers wanting to understand trends and predict future needs for their global team.
• Technical knowledge: A deep understanding of data models and data visualization. Creative ideas for using AI to enhance insights.
• Product Development: Ability to translate user needs into a cohesive reporting and analytics experience, taking an idea from concept to a highly-adopted solution with strong product-market fit.
• User Experience (UX): Strong collaboration with design and user research teams to create intuitive and engaging experiences tailored for various user types within the organization.
• Agile Execution: Proven ability to quickly define, build, and launch exceptional insights with a bias to action.
• Communication and Collaboration: Collaborate with cross-functional teams to develop remarkable, highly valuable, and differentiated data-based products. Excellent skills in coordinating with various teams, including engineering, sales, support, and product marketing to ensure alignment with both user needs and organizational objectives.
• Data-Driven Approach: Passionate about setting, tracking, and analyzing goals to achieve results.
• Strong analytical skills: The ability to translate complex data into actionable insights.

Key responsibilities

• Understand customer needs: Develop a deep understanding of customer reporting and analytics needs for various persona types across all of Remote’s products.
• Build a reporting platform: Build a reporting platform that
  • Internal product teams can utilize to deliver customer-facing reports and analytics for their product areas
  • Customers can use to build custom reports that meet their unique needs
• Develop default reports and analytics: Identify the reports and analytics commonly required by Remote’s users and build out a set of default and premium insights.
• Innovate: Incorporate innovative technologies to build a more intelligent insights platform including AI and predictive analytics.
• Collaborate with stakeholders