Endeavor
Principal Product Manager
Endeavor, Atlanta, Georgia, United States, 30383
The Challenge
Prioritize key themes, initiatives over timeframes
Measure customer values, competitive position, and business results
Lead team with clear purpose, drive ownership and empowerment to deliver benefits to customers / business
Identify new products and features which help govern and advance enterprise use of AI, improve product strategy
Play a pivotal role in ensuring ethical and compliant development of AI products
Contributes to product and engineering strategy across teams
Responsible for product vision and thought leadership within company
Responsible for delivery of more complex/dynamic products in a rapidly evolving tech ecosystem
Obsessed with the technology and the entire customer experience
Defines OKRs for product and engineering
Defines vision for the responsible AI market
Ensures product is easy to sell
Your Mission
Drive Responsible AI product innovation to design and develop new technologies to address the potential risks of emerging AI
Researches and communicates market drivers including new/emerging markets and uses of AI
Partner closely with engineers and data scientists to build solutions for governing models, APIs, services, and complex systems at scale
Owns due diligence build/buy/partner decisions
Works as expert advisor across multiple teams
Represents needs across platform, obtaining and directing feedback
Acts as solution design stakeholder across multiple teams
Monitors existing product metrics and builds new metrics for teams
Contributes to process improvements
Monitors patents and ensures intellectual property is protected across teams
You Are
Handles critical / complex problems
Supervises activities across product and engineering
Creates formal networks with key decision makers; spokesperson for teams
Escalation point across platforms
Source of trust for roadmap status for products
Demonstrated passion for ML, AI data platforms, data experience, tools, workflows, and/or data infrastructure
Strategic thinker that can connect customer use cases to solutions and think holistically about end-to-end experience
6+ years of experience as a Product Manager
Demonstrable track record in successfully bringing AI/ML features to market in a SaaS environment
Working knowledge of data and analytics ecosystems on leading public cloud platforms such as Azure, GCP and AWS; comfort with talking technical topics around ML Ops and the AI/ML R&D lifecycle
Direct experience implementing and managing data solutions on cloud data platforms, specifically Databricks and Snowflake
Passion for technology, data, and innovation
Deep understanding of generative AI use cases and responsible AI
Bachelor’s degree in Computer Science, Engineering or related technical or business field
Strong knowledge of platform and integrations
Excellent written and verbal communication skills
Extra Awesome
3+ years of experience in machine learning and/or AI
Demonstrable experience and expertise developing products delivering guidance to educate users and tooling to execute on associated best practices – preferably in the context of privacy, security, and compliance
#J-18808-Ljbffr
Prioritize key themes, initiatives over timeframes
Measure customer values, competitive position, and business results
Lead team with clear purpose, drive ownership and empowerment to deliver benefits to customers / business
Identify new products and features which help govern and advance enterprise use of AI, improve product strategy
Play a pivotal role in ensuring ethical and compliant development of AI products
Contributes to product and engineering strategy across teams
Responsible for product vision and thought leadership within company
Responsible for delivery of more complex/dynamic products in a rapidly evolving tech ecosystem
Obsessed with the technology and the entire customer experience
Defines OKRs for product and engineering
Defines vision for the responsible AI market
Ensures product is easy to sell
Your Mission
Drive Responsible AI product innovation to design and develop new technologies to address the potential risks of emerging AI
Researches and communicates market drivers including new/emerging markets and uses of AI
Partner closely with engineers and data scientists to build solutions for governing models, APIs, services, and complex systems at scale
Owns due diligence build/buy/partner decisions
Works as expert advisor across multiple teams
Represents needs across platform, obtaining and directing feedback
Acts as solution design stakeholder across multiple teams
Monitors existing product metrics and builds new metrics for teams
Contributes to process improvements
Monitors patents and ensures intellectual property is protected across teams
You Are
Handles critical / complex problems
Supervises activities across product and engineering
Creates formal networks with key decision makers; spokesperson for teams
Escalation point across platforms
Source of trust for roadmap status for products
Demonstrated passion for ML, AI data platforms, data experience, tools, workflows, and/or data infrastructure
Strategic thinker that can connect customer use cases to solutions and think holistically about end-to-end experience
6+ years of experience as a Product Manager
Demonstrable track record in successfully bringing AI/ML features to market in a SaaS environment
Working knowledge of data and analytics ecosystems on leading public cloud platforms such as Azure, GCP and AWS; comfort with talking technical topics around ML Ops and the AI/ML R&D lifecycle
Direct experience implementing and managing data solutions on cloud data platforms, specifically Databricks and Snowflake
Passion for technology, data, and innovation
Deep understanding of generative AI use cases and responsible AI
Bachelor’s degree in Computer Science, Engineering or related technical or business field
Strong knowledge of platform and integrations
Excellent written and verbal communication skills
Extra Awesome
3+ years of experience in machine learning and/or AI
Demonstrable experience and expertise developing products delivering guidance to educate users and tooling to execute on associated best practices – preferably in the context of privacy, security, and compliance
#J-18808-Ljbffr