Human & AI Strategist, People Technology - Dropbox

Role Description

The Human & AI Strategist on the People Tech team will define and execute the vision for applying AI across the HR ecosystem, transforming processes from recruiting and onboarding to learning, compensation, and workforce planning. They will serve as a connector and evangelist—bridging HR, IT, data science, and external partners to identify high-impact AI opportunities, prototype solutions, and guide teams toward responsible, inclusive adoption. This role also drives AI governance and risk management, ensuring all initiatives align with organizational values, legal requirements, and global compliance standards.

Responsibilities

Lead AI Strategy for People Tech

• Define the vision and roadmap for applying & adopting AI across the HR stack, from recruiting and onboarding to learning, compensation, workforce planning, and beyond
• Translate emerging trends in AI/ML into actionable insights and strategies for HR.

Evangelize AI Across the HR Org

• Help HR teams increase their fluency and application of AI. Share demos, host working sessions, and make emerging technologies accessible and inspiring.
• Serve as a liaison between HR, IT, data science, and external partners to ensure alignment on AI initiatives.
• Guide HR leaders in understanding the benefits and risks of AI in their respective areas.

Identify and Launch High-Impact Use Cases

• Work with stakeholders across each HR sub team (e.g., recruiting, learning & development, HR Business Partner, Operations, etc) to identify where AI can create real value. 
• Prototype solutions (or partner with vendors) to bring those ideas to life—whether that’s using LLMs and agents to simplify workflows or applying predictive analytics to workforce planning.

Drive Responsible, Inclusive Adoption

• Collaborate with Legal, Privacy, and IT to ensure our use of AI aligns with Dropbox values and global compliance standards.

Act as a Connector Across Teams

• Bring together folks from HR, Engineering, IT, and Data to ensure AI projects are thoughtful, ethical, and effective—from idea to implementation.

AI Governance & Risk Management

• Establish guidelines for the ethical, compliant, and inclusive use of AI in HR.
• Monitor AI system performance and effectiveness, incorporating feedback loops for continuous improvement.
• Partner with Legal, Compliance, and IT teams to assess and mitigate AI risks.

Requirements

• 5+ years of experience in HR tech, digital transformation, product strategy, or AI enablement—ideally in a fast-paced or high-growth tech environment.
• Deep understanding of core HR systems (like Workday) and how HR processes work end-to-end.
• Demonstrated experience bringing AI solutions to life—this could include NLP, ML, automation tools, or LLM integrations in business contexts.
• Comfort working with technical and non-technical stakeholders alike. You can speak “engineer” and “HRBP” in the same conversation.
  Strong communication chops—you’re a natural translator, facilitator, and storyteller.
• Curiosity and a thoughtful point of view about where AI is heading, and how we can harness it in responsible and inclusive ways.
  Demonstrated ability to partner cross-functionally
• Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to HR initiatives
• Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention
• Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level and familiarity using AI to enhance productivity are strongly preferred.

Preferred Qualifications

• Previous consulting experience in AI/HR transformation
• Exposure to or experience with low-code/no-code platforms, process automation tools (e.g., Power Automate, UiPath), or GPT-based applications.
• Experience with programing languages
• Familiarity with AI ethics frameworks or responsible AI principles in practice.
• Experience working in a product, design thinking, or change management capacity.