Manager, Software Engineering - Growth Platform (AI)

Location: San Francisco, CA or New York, NY hubs, or remote within the United States. In-person onboarding is required.

Salary: Annual base salary of $258,000–$376,000 USD.

Company

Figma develops a collaborative design platform that helps teams brainstorm, prototype, translate designs into code, and iterate with AI in real time.

What you will do

• Hire and lead the initial Growth Platform engineering team, establishing culture, operating practices, engineering standards, mentoring, and career development.
• Build product capabilities such as personalized messaging, self-service publishing, and cross-system integrations to enable more growth experiments without engineering bottlenecks.
• Explore and integrate AI-driven approaches for brand consistency checks, visual quality validation, copy generation, and experiment governance.
• Provide hands-on technical leadership through architecture decisions, system design reviews, and build-versus-integrate decisions.
• Collaborate with Marketing, growth teams, and product teams on cross-channel messaging, platform needs, and end-user experience.
• Define and evolve the platform vision and roadmap based on adoption, impact, and learning from each phase.

Requirements

• 3+ years of engineering management experience with a strong track record of building and shipping application platforms.
• 7+ years of software engineering experience at the application or product tier.
• Experience driving significant impact from small changes and enabling similar growth wins at larger scale.
• Strategic insight to optimize impact across both short- and long-term priorities.
• Ability to operate effectively in ambiguous environments while delivering continuous value and building toward a long-term platform vision.
• Track record of prioritizing by impact, leveraging existing assets, and scaling through platform-level thinking.
• Experience working cross-functionally with marketing, product, design, and data.

Nice to have

• Experience at a product-led growth company during multi-product expansion.
• Experience building platforms that enable marketing, design, or content teams to run experiments or publish content independently.
• Background in personalization systems, recommendation engines, or ML-driven content selection.
• Experience integrating customer data platforms or marketing automation systems, or building user attribute services from product usage data.
• Familiarity with AI for quality assurance, brand consistency, or content governance at scale.
• Experience with internationalization and localization infrastructure.

Culture & Benefits

• Emphasis on continuous learning and professional development.
• Equity and competitive benefits including health, dental, and vision coverage.
• Retirement benefits with company contributions, parental leave, and reproductive or family planning support.
• Mental health and wellness benefits, paid time off, paid sick leave, holidays, and flexible PTO for eligible exempt employees.
• Potential recharge days, cell phone and home internet reimbursements, lifestyle spending accounts, and annual bonuses for eligible non-sales roles.
• Reasonable accommodations are available throughout the application, interview, and employment process.

Hiring process

• Video interviews require candidates to keep their cameras on.
• In-person onboarding is required if hired.
• Candidates may submit up to five applications during any rolling 30-day period and may not reapply to an active or recently rejected role within the stated limits.