• Lead and mentor a pod of backends, frontend, or platform engineers (depending on pod assignment: e.g., Integrations, Investigation Infra, Threat Hunting, etc.) • Drive delivery of product and platform features aligned to quarterly OKRs • Establish engineering best practices for code quality, observability, security, and reliability • Collaborate with product managers and security SMEs to define technical scope, execution plans, and delivery timelines. • Provide technical guidance in architecture decisions across areas such as: 1. Scalable microservices 2. Security product integrations (EDR, SIEM, CNAPP, etc.) • Data pipelines (historical + real-time event ingestion) • AI/ML systems for reasoning and automation • Recruit, develop, and retain top engineering talent. • Ensure pods maintain a high bar for innovation, execution, and collaboration. • Must have recent experience working in cyber security. We are looking for domain experience mandatorily.

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.