Role Description As the Engineering Manager of Figma's Databases team, you'll lead engineers responsible for Figma's core database infrastructure, including: - Sharded Postgres clusters - Schema management - Migrations tooling - Database provisioning Your responsibilities will include: - Owning the reliability and operational excellence of Figma's data tier - Driving incident response, postmortem culture, and proactive investment in system resilience - Setting technical direction and roadmap for the area - Partnering with product and engineering leadership to prioritize work across competing demands - Recruiting, retaining, and growing top infrastructure engineering talent - Driving execution through clear planning, regular reviews, and transparent communication - Collaborating with peer engineering managers across Infrastructure - Championing the adoption of AI-assisted tooling to improve developer experience Qualifications - 4+ years of experience managing infrastructure, platform, or backend engineering teams - Proven technical depth in distributed systems, stateful infrastructure, or data-intensive backend systems - Demonstrated ability to ramp quickly on unfamiliar technical domains - Track record of building or improving on-call culture, incident response processes, and reliability practices - Experience developing engineers' careers - Comfort leading distributed teams across multiple time zones Requirements - Experience managing managers or leading multiple teams across related technical domains (preferred) - Experience defining org-wide technical vision and strategy across multiple work streams (preferred) - Hands-on experience operating relational databases at scale (Postgres or MySQL) (preferred) - Familiarity with AI/LLM-assisted developer tooling (preferred) - Background in adjacent infrastructure domains (caching, streaming/event processing, observability) (preferred) - Experience at a high-growth product company where infrastructure needed to evolve rapidly (preferred) Benefits - Equity to employees - Health, dental & vision insurance - Retirement with company contribution - Parental leave & reproductive or family planning support - Mental health & wellness benefits - Generous PTO - Company recharge days - Learning & development stipend - Work from home stipend - Cell phone reimbursement - Sales incentive pay for most sales roles - Annual bonus plan for eligible non-sales roles

• A high-performing, self-managed engineering organization, known for its high standard of quality, delivery predictability, and agentic efficiency. • Set and uphold the technical bar across architecture, code quality, testing, and engineering standards. • Coach engineers on craft, judgment, autonomy, and technical decision-making through review, feedback, and architecture conversations. • Build a team that delivers reliably without depending on the manager as a bottleneck or single point of failure. • Set clear objectives, establish useful dashboards and review cadences, and use data to improve team performance. • Own architecture and technical direction across varied project types, stacks, and languages. • Lead effectively on unfamiliar stacks by relying on strong engineering principles, systems, and review practices. • Run a code review culture that catches issues early, teaches consistently, and keeps quality high across projects. • Increase the team’s use of AI coding tools and agents through clear patterns, guardrails, and review discipline. • Stay hands-on by contributing code to high-risk work, hard problems, spikes, and patterns the team can build from. • Plan monthly delivery cycles so work is clearly sized, realistically committed, and reliably completed across client projects. • Hold the team to strong task discipline, including clear ownership, accurate status, self-review before QA, and follow-through. • Own engineering hiring and assess candidates for craft, judgment, autonomy, and team fit. • Partner with design, product, and client-facing teammates to keep delivery clear, coordinated, and well-specified. • Own and evolve the engineering operating system, including standards, patterns, review practices, and rituals. • Communicate proactively across a remote team, sharing progress, decisions, risks, and recommendations early.

• Lead and develop multidisciplinary teams (Mobile and Backend), conducting 1-on-1s, individual development plans (IDPs), performance reviews, and talent retention. • Translate and cascade the company's strategic plans to the team, ensuring technical direction is aligned with business objectives. • Ensure delivery of end-to-end solutions, from in-app experience to backend service robustness, working closely with Product Managers (PMs), Product Designers, and other leaders. • Facilitate communication between technical teams and business areas, ensuring transparency, visibility of timelines, and alignment of expectations. • Foster an environment of psychological safety, collaboration, and continuous feedback, acting as an ambassador of Stone's culture. • Promote technical excellence through best practices (Clean Code, clean architecture, CI/CD, DevSecOps, use of RFCs, and a documentation culture). • Monitor OKRs and team and product health metrics (mobile delivery cycle metrics and DORA metrics for backend). • Handle ambiguous scenarios, distributed architectures, and challenging prioritizations, balancing delivery speed and technical debt.

• Lead an organization of 7+ teams to deliver high-impact results, directly managing Engineering Managers and Staff Engineers. • Foster a culture of mentorship and coaching, focusing on the professional growth and leadership capabilities of your direct reports. • Partner with Product Directors and VPs to align roadmaps with commercial goals, customer needs and technical strategy. • Contribute to the maturity of the entire engineering function, collaborating with peers and leading by example, such as leverage the best of the shifting AI landscape • Instill a "customer outcome" mindset, ensuring teams are solving the right problems rather than just shipping features. • Balance the value of commercial delivery with the necessity of managing support, technical debt, and architectural risks. • Navigate and resolve issues pragmatically, providing clarity and direction to your teams when paths are unclear. • Oversee the holistic health of your teams through effective use of data to drive tangible improvements • Serve as a point of escalation for issues and incidents across your teams, ensuring sustainable preventative measures and post-mortem learning. • Support and input into our strategic direction, providing a technical perspective for investment planning and scenario modeling.