[Remote] Manager, Software Engineering - Data Platform
Note: The job is a remote job and is open to candidates in USA. Figma is a collaborative design and product development platform that helps teams create, prototype, translate designs into code, and work together in real time. The Manager, Software Engineering - Data Platform will lead and grow engineering teams responsible for Figma’s data platform, set technical direction and strategy, and drive reliability and scalability. The role also partners with cross-functional teams, manages priorities and vendors, and develops a high-performing engineering organization.
Responsibilities
- Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health
- Set the roadmap and technical strategy for your sub area, and provide hands on technical leadership where the team needs it
- Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization
- Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team
- Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment
- Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense
- Keep delivery predictable while balancing near-term execution with long-term platform investment
Skills
- 3+ years managing engineers, including senior ICs or tech leads, with a track record of building and scaling high-performing teams
- Demonstrated experience building and scaling data platform or data infrastructure systems in a production, online environment
- A strong software engineering background with senior or staff-level technical depth before moving into management, and enough current depth to set direct technical direction
- Strong partnership mentality and the ability to manage multiple cross-functional stakeholder groups such as Data Science, Product, Finance, and Engineering
- Ability to set technical direction, drive alignment, and prioritize clearly under ambiguity, paired with strong written communication
- Expertise in large-scale data processing systems, including batch, streaming, or applied AI and ML workloads
- Familiarity with experimentation or feature flagging platforms
- A track record of evaluating and managing vendor relationships
- A demonstrated ability to develop tech leads and scale hiring at pace
Benefits
- Equity to employees
- Health coverage
- Dental coverage
- Vision coverage
- Retirement benefits with company contributions
- Parental leave
- Reproductive or family planning support
- Mental health and wellness benefits
- Paid time off
- Paid sick leave
- Holidays
- Other leave benefits in compliance with applicable federal, state, and local laws
- Employer-provided paid flexible PTO for exempt employees
- Flexible paid sick leave for exempt employees
- Company recharge days
- Cell phone reimbursements
- Home internet reimbursements
- Lifestyle spending accounts
- Sales incentive compensation for most sales roles
- Annual bonus plan for eligible non-sales roles
- Remote work from anywhere in the United States
Company Overview
Company H1B Sponsorship