Engineering Manager, Quality Engineering

About the role

At AutoSync, quality is owned by every product engineering team. The Quality Engineering team exists to make that possible at scale. We are looking for an Engineering Manager to lead a small, high-impact team focused on quality enablement, agentic engineering, tooling, metrics, and coaching. This is not a traditional QA management role, and it is not a centralized testing function. The team acts as a center of practice for quality: helping engineers and teams build, test, ship, and operate healthier products themselves. A major part of this mission is helping AutoSync move from ad hoc AI prompting toward a mature "on-the-loop" agentic model. In this model, engineers supervise capable agents that can support planning, implementation, testing, triage, pipeline diagnosis, and quality improvement through clear workflows, guardrails, and measurable outcomes. You will manage up to 5 direct reports and work closely with engineering managers, staff engineers, product leaders, platform teams, and cross-department stakeholders. This role is ideal for a technical people leader who can combine engineering judgment, quality strategy, agentic tooling, and organizational influence. WHAT YOU WILL LEAD Agentic Quality Engineering Define how AutoSync uses agentic coding tools such as Codex and similar platforms to improve engineering quality and developer effectiveness. Build, mature, and scale reusable testing and quality agents, skills, workflows, and integrations that serve multiple engineering teams. Establish practical patterns for agent supervision, validation, traceability, human review, and safe adoption. Help teams move from manual prompting to reliable on-the-loop workflows where agents reduce toil, and engineers stay accountable for outcomes. Evaluate emerging agentic tooling and translate useful capabilities into practical engineering workflows. Quality Practice and Maturity Own and evolve AutoSync's quality maturity model, maturity indexes, standards, and KPIs. Coach engineering teams and individual engineers on modern testing, quality, and delivery practices. Embed quality practices into planning, delivery, release, and operational rituals. Participate in team ceremonies and cross-department planning where quality, delivery health, or engineering maturity are at stake. Shift the organization away from centralized test execution and toward product-team ownership of quality. Metrics, Dashboards, and Quality Intelligence Design and build metrics and dashboards that show pipeline quality, product quality, release health, and engineering maturity. Provide visibility at team, product, and AutoSync-wide levels. Use data to identify quality risks, slow feedback loops, flaky tests, pipeline bottlenecks, escaped defects, and coaching opportunities. Help engineering leadership make better investment and tradeoff decisions using clear quality signals Training and Enablement Create and run workshops, training sessions, and coaching programs for engineers and teams. Build practical playbooks, examples, golden paths, and knowledge bases for quality engineering and agentic workflows. Grow a community of practice around quality, testing, engineering health, and AI-assisted delivery. People and Technical Leadership Manage, coach, and develop 3 direct reports. Set priorities and technical direction for the Quality Engineering team. Balance experimentation with operational reliability and measurable business impact. Model strong technical judgment, including the ability to reason about automation, pipelines, test strategy, and agentic workflows. Partner with engineering leaders across AutoSync to drive change without relying only on direct authority. WHAT SUCCESS LOOKS LIKE Engineering teams have clear quality standards, measurable maturity indicators, and practical guidance they can use independently. Agentic workflows reduce manual toil in test generation, test maintenance, pipeline diagnosis, defect triage, and quality analysis. Quality dashboards are trusted by teams and leadership for planning, prioritization, and continuous improvement. Training and coaching lead to visible improvements in testing practices, release confidence, and product health. The Quality Engineering team is seen as an enablement partner and center of practice, not