# Engineering Manager, Data Sync

**Company:** [Ditto](https://hotfix.jobs/companies/ditto)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $222k – $283k/yr
**Experience:** 5+ years
**Skills:** Crdts, Distributed Systems, Database Systems, Data Infrastructure, Query Engines, AWS, Kubernetes, Rust, C++, Replication Algorithms
**Posted:** 2026-06-22

> Lead and grow an 8-12 person engineering team owning Ditto's core data sync engine, query engine (DQL), and embedded database performance. Drive delivery, hiring, and roadmap in a remote, async-first environment.

## Job Description

## 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)

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