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
- Bachelorโs 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 โ preferably in the context of privacy, security, and compliance
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OneTrust
Global provider of trust intelligence cloud platform for organizations to transform trust into measurable competitive advantage.
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