About Highspot
Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd.
While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets.
About the Role:
As an Engineering Manager - Analytics & Data Engineering at Highspot, you will inspire, lead, and grow a multidisciplinary team of creative and talented data analysts/data scientists, and data engineers. Your role will encompass delivering cutting-edge analytics capabilities within our B2B SaaS product, developing and maintaining a company-wide data warehouse to empower data-driven decision-making, and leveraging your expertise in statistical analysis, machine learning techniques, and business acumen to unlock valuable insights from our data, driving impactful decisions and fueling our growth. Your technical prowess and proven people management skills will guide strategic decisions about our data systems, analytics capabilities, team operations, and engineering culture. Our ideal candidate is passionate about building and scaling teams, values-driven, deeply invested in fostering a positive culture, self-managed, curious, and resourceful.
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Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.
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