Engineering Manager, Data Sync

Responsibilities

• Lead, mentor, and grow a combined team of 8–12 engineers across three workstreams: data sync engine (replication algorithms, CRDT libraries), query engine (DQL), and embedded database performance
• Own delivery across all workstreams; break large technical programs into milestones, hold teams accountable, escalate early, and make trade-off calls between feature work, performance investment, and tech debt
• Build and maintain a strong hiring pipeline; close senior candidates and continuously raise the hiring bar
• Partner closely with senior ICs who are deep technical experts; provide influence, shield from organizational friction, and know when to defer versus guide hands-on
• Collaborate with product managers and stakeholders to shape the team’s roadmap and ensure maximum customer value delivery
• Communicate the team’s work to leadership, customers, and cross-functional partners; write status updates that convey signal and translate customer pain into engineering investment
• Cultivate a culture of trust, collaboration, and continual improvement aligned with company values in a remote, async-first environment

Requirements

• 3+ years managing software engineering teams, including hiring, performance management, and career development
• 5+ years of technical leadership experience, with at least some in database, storage, or data infrastructure engineering organizations
• Proven track record of shipping infrastructure or database products on a predictable cadence with strong instincts around prioritization and scope management
• Sufficient familiarity with consistency models, conflict resolution, replication topologies, and convergence to be a credible partner to senior engineers
• Demonstrated ability to hire the best and grow high-performing teams in competitive markets
• Customer orientation for an infrastructure product; ability to navigate roadmap trade-offs driven by deals and prioritization calls

Nice-to-Haves

• Experience with AWS (preferred), GCP, or Azure, and Kubernetes in production environments
• Familiarity with CRDTs, offline-first architectures, sync algorithms, or local-first software
• Background in Rust, C++, or systems-level programming
• Exposure to query engines or query language development
• P2P or mesh networking familiarity (BLE, Wi-Fi Direct, LAN)