Define and drive the product vision, strategy, and roadmap for your area in alignment with company goals and user needs. Lead the full product lifecycle from discovery through launch, balancing technical feasibility, design excellence, and business impact.
Lead the design of core editor experiences, including foundational concepts like Auto Layout, Text, and canvas interactions, from identifying opportunities through prototyping, shipping, and iteration.
Own the strategy and roadmap for one of our key products (e.g. FigJam), and help drive our vision of Collab Tools as the defacto surfaces for upstream planning and discovery.
Design and ship end-to-end experiences that help organize, manage, and deliver content across Figma's products, as part of the Content Management Systems team.
Develop and verify technical security controls that satisfy multiple compliance frameworks. Collaborate with security, infrastructure, and product engineering teams to translate compliance requirements into effective technical controls.
Design, build, and operate integrations across CRM, ERP, and HR systems using MuleSoft, APIs, and event-driven architectures. Build and maintain batch and incremental data pipelines into Snowflake, using SQL and Python for transformations, validation, and automation.
Serve as a trusted thought partner and strategic advisor to the SVP of AMER Sales — translating business performance, market trends, and field insights into clear recommendations that shape regional priorities, guide investment decisions, and accelerate growth.
Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program.
Figma · 11mo ago
Lead product design for growth and monetization initiatives, creating user experiences that drive adoption and revenue on a design platform. Collaborate with cross-functional teams to implement data-informed design solutions.
Collaborate closely with AI researchers to improve model performance from a design perspective. Develop and document design principles and heuristics that can be used by our AI systems. Build thorough methods to test and enhance the quality of AI-generated outputs.
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