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Senior Manager, Product Design - Security

Company
Datadog
Location
New York, NY
Work type
Full Time
Posted
2026-10-15

Job description

What you’ll do
Lead design direction across your team's products, and hold the bar for design excellence end to end: interactions, visual detail, consistency and cohesion.
You're in the work. Run critiques, give direct and useful feedback, and push the team toward bolder, more opinionated solutions rather than safe ones.
Coach and grow designers across our Paris, Madrid and New York offices, helping each of them do the best work of their careers.
Help define a security design system built on top of Datadog's existing components, with the security practitioner's workflows in mind.
Partner with Product and Engineering leaders to evolve cross-platform thinking, shape roadmaps, and to set how the three disciplines work together day to day.
Take accountability for the product and business outcomes your team's design work influences.
Bring AI fluency to how your team works, from how design gets explored and validated to how it gets shipped.

Who you are
10+ years in design, including experience leading and growing high-performing teams.
A design leader first: a user advocate with a sharp eye for detail, strong taste and the willingness to get into the work and give direct feedback.
A track record of leveling up a team's output, with before-and-after examples of how your leadership transformed the design of a product.
You've led complex products or features: a zero-to-one launch, a reimagining of something established, or both.
A strong communicator who collaborates effectively with executive and cross-functional stakeholders.
Able to demonstrate AI fluency, either in your own work or in how you've led teams through it.
Comfortable navigating the technical complexity of modern software development and cloud infrastructure.
Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
Bonus/Plus - You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Ideally: Security domain experience, or a portfolio of information-dense, data-rich interfaces. Industry-leading work on complex B2B, B2C or consumer products counts for just as much here.

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