TL;DR
Product Marketing Lead (AI, Privacy): Driving company-wide privacy narratives, strategy, and execution across hirify.global’s product portfolio with an accent on translating privacy principles, user needs, and regulatory expectations into clear product requirements and crisp messaging. Focus on identifying privacy risk areas across the product lifecycle and owning launch strategy and execution for new and improved privacy features and experiences.
Location: Must be based in San Francisco, US
Salary: $374,000–$415,000 USD
Company
hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
What you will do
- Lead discovery to understand user expectations, enterprise requirements, and market dynamics related to privacy, trust, and data stewardship.
- Translate privacy insights into clear product requirements and programs in close partnership with Product, Engineering, Legal, and Privacy/Policy stakeholders.
- Partner with Design, Data Science, and Analytics to define success metrics for privacy experiences and create measurement plans.
- Identify privacy risk areas across the product lifecycle and drive cross-functional mitigation plans.
- Own launch strategy and execution for new and improved privacy features and experiences.
- Build clear, durable narratives and materials that explain privacy choices simply.
- Coordinate readiness across teams (Product, Legal, Comms, Support, Sales) so launches are accurate, consistent, and scalable.
Requirements
- Strong structured problem-solving skills for ambiguous privacy/trust problems.
- Ability to connect user expectations and regulatory/partner requirements to product strategy, influencing prioritization.
- Experience with privacy-adjacent domains such as privacy UX, trust & safety, security, data governance, compliance, or responsible AI.
- Ability to communicate clearly and persuasively, turning nuanced policy/technical concepts into crisp user value.
- Fluency in qualitative and quantitative approaches (user research, surveys, funnel analysis, experimentation, support signals) to turn insights into decisions.
- Comfort thriving in fast-paced, high-ambiguity environments and managing multiple cross-company workstreams.
- English: B2+ required.
Culture & Benefits
- Focus on deeply understanding customer audiences and market dynamics.
- Data-driven approach to market understanding and monetization strategies.
- Partnership with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive customer experience.
- Committed to ensuring that general-purpose artificial intelligence benefits all of humanity.
- Dedicated to creating AI with safety and human needs at its core.
- An equal opportunity employer committed to providing reasonable accommodations to applicants with disabilities.
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