• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

• For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Salary Range

$161,250 — $241,875 USD

• Where we Work

OneTrust embraces a hybrid working model. Our Working@ OneTrust initiative is our way of clarifying where we hire, how we work together, and where we’re located in that hybrid model.

The underlying “why” for Working@ is that we are intentional about the culture that we want to create together. That includes bringing teams together, in-person, throughout the year to collaborate, build connections, learn from each other, and celebrate our wins to Finish Stronger.

We are committed to a flexible approach informed by a set of guiding principles. You’ll see that reflected in our worker designations: “Office-flex” and “Location-flex”.

• Office-flex: Like a traditional hybrid model, OneTrust “Office-flex” employees may be asked to work in an office periodically if they are within a commutable distance to a OneTrust office. This includes coming into the office for our Company Kickoff, Company All Hands, and other larger company events. Beyond that, we give our leaders and teams the flexibility to set additional guidelines based on the nature of your role.

• Location-flex: Similar to other companies’ remote policies, for OneTrust “Location-flex