Tellius
Lead Product Manager
Tellius, San Francisco, California, United States, 94199
Note: Only apply if you have expertise on one of the tools :
Tableau, Qlik, Power BI, SiSense, Looker, Thoughtspot, OBIEE, Birst, GoodData, DataRobot, H2O.ai, Dataiku, Alteryx.Come and be a core part of a rapidly growing startup in the Analytics / Business Intelligence domain.We’re looking for a Product Manager to help build the Tellius Analytics Platform as we scale it to the next phase. This is an individual contributor, hands-on role that requires strong technical acumen, deep analytics/business intelligence knowledge, and sharp product management skills along with a can-do attitude to build the best possible experience for our customers. Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement.Your ImpactManage products from inception to launch based on industry experience, market research, competitive analysis and feedback from customers and prospects.Work with engineering, marketing, and sales to define product release requirements, help understand the competitive landscape, product positioning, target customer use cases and markets, and define the go-to-market strategy.Develop product strategy and prioritize features.Gather product requirements from customers and the internal field teams.Write detailed and agile product requirements and ensure clear communication to all stakeholders including management, engineering, design, and documentation teams.Assist engineering teams in determining the best technical implementation methods.Work closely with development leads to plan, prioritize and track features and releases.Collect customer feedback for product improvements.Present product roadmap, released features and demos to customers, analysts, and internally to other groups.Internal and external evangelism of the product through blogs, social media platforms, and industry conferences.What you need5 years of in-depth experience within the Analytics / Business intelligence (BI) domain with a strong understanding of the industry, market and competitive landscape.3 years of experience in Product Management and/or, sales engineering roles with a complex B2B SaaS product.Deep understanding of Tableau, Qlik, Power BI, SiSense, Looker, Zoomdata, Thoughtspot, OBIEE, Birst, GoodData, Cognos, Business Objects, DataRobot, H2O.ai, Dataiku, Trifacta, Alteryx or similar tools.Experience across the product management lifecycle for enterprise SaaS products.Strong UX and design thinking skills.Data-driven approach to decision making.Working knowledge of agile development methodologies.Comfortable presenting in one-on-one customer settings as well in front of 100+ people.Very strong written and oral communication skills and polished presentation skills.Flexibility and willingness to step outside of traditional roles as needed in a fast-paced startup environment.Team player with a can-do attitude.Bachelor’s degree in Computer Science, Mathematics, Statistics and/or related field.Wouldn’t hurt to bring alongExperience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.Working Knowledge of SQL, Python, HTML, JavaScript, R, Spark, etc.Master’s in Computer Science and/or MBA degree.
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Tableau, Qlik, Power BI, SiSense, Looker, Thoughtspot, OBIEE, Birst, GoodData, DataRobot, H2O.ai, Dataiku, Alteryx.Come and be a core part of a rapidly growing startup in the Analytics / Business Intelligence domain.We’re looking for a Product Manager to help build the Tellius Analytics Platform as we scale it to the next phase. This is an individual contributor, hands-on role that requires strong technical acumen, deep analytics/business intelligence knowledge, and sharp product management skills along with a can-do attitude to build the best possible experience for our customers. Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement.Your ImpactManage products from inception to launch based on industry experience, market research, competitive analysis and feedback from customers and prospects.Work with engineering, marketing, and sales to define product release requirements, help understand the competitive landscape, product positioning, target customer use cases and markets, and define the go-to-market strategy.Develop product strategy and prioritize features.Gather product requirements from customers and the internal field teams.Write detailed and agile product requirements and ensure clear communication to all stakeholders including management, engineering, design, and documentation teams.Assist engineering teams in determining the best technical implementation methods.Work closely with development leads to plan, prioritize and track features and releases.Collect customer feedback for product improvements.Present product roadmap, released features and demos to customers, analysts, and internally to other groups.Internal and external evangelism of the product through blogs, social media platforms, and industry conferences.What you need5 years of in-depth experience within the Analytics / Business intelligence (BI) domain with a strong understanding of the industry, market and competitive landscape.3 years of experience in Product Management and/or, sales engineering roles with a complex B2B SaaS product.Deep understanding of Tableau, Qlik, Power BI, SiSense, Looker, Zoomdata, Thoughtspot, OBIEE, Birst, GoodData, Cognos, Business Objects, DataRobot, H2O.ai, Dataiku, Trifacta, Alteryx or similar tools.Experience across the product management lifecycle for enterprise SaaS products.Strong UX and design thinking skills.Data-driven approach to decision making.Working knowledge of agile development methodologies.Comfortable presenting in one-on-one customer settings as well in front of 100+ people.Very strong written and oral communication skills and polished presentation skills.Flexibility and willingness to step outside of traditional roles as needed in a fast-paced startup environment.Team player with a can-do attitude.Bachelor’s degree in Computer Science, Mathematics, Statistics and/or related field.Wouldn’t hurt to bring alongExperience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.Working Knowledge of SQL, Python, HTML, JavaScript, R, Spark, etc.Master’s in Computer Science and/or MBA degree.
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