Engineering Manager

Posted about 2 months agoViewed
90000 - 140000 USD per year
EST timezoneFull-TimeGenomics, Health
Company:
Location:EST timezone, EST
Languages:English
Seniority level:Manager, 5+ years
Experience:5+ years
Skills:
LeadershipProject ManagementAgileArtificial IntelligenceMachine LearningPeople ManagementSCRUMJiraCross-functional Team LeadershipCI/CDProblem SolvingMentoringDevOpsTeam managementSoftware Engineering
Requirements:
Experienced engineering leader with 5+ years in an engineering management or tech lead role, preferably at a startup or fast-paced environment Background in software engineering (you can speak fluently with devs, even if you’re not writing code daily) Expert in Agile development and sprint operations; expert level knowledge of Jira Comfortable working independently and remotely, with strong written and verbal communication skills Operates with ownership and urgency - doesn’t wait for direction to fix what’s broken or push things forward Passion for AI tooling and automation to reduce grunt work and boost team velocity Organized, proactive, and capable of operating in ambiguity while driving clarity Experience managing distributed engineering teams across multiple time zones. Passionate about building empowered, high-output teams Located in or available to work full-time in the EST timezone
Responsibilities:
Run sprint planning, standups, and retrospectives; maintain focus on outcomes, not ceremony Own and enforce a smooth Jira process that supports high-velocity development Coordinate across departments to clarify requirements and unblock work Partner with the Head of Engineering to align on roadmap priorities, capacity, and timelines Coordinate and communicate around releases, ensuring QA and key stakeholders are looped in Be the go-to resource for your team - triaging issues, escalating when needed, and removing blockers Continue a culture of speed, ownership, and solution-oriented thinking Work with the Head of Engineering to define KPIs that reflect our performance culture - motivating developers without resorting to vanity metrics Set a high bar for engineering culture, velocity, and quality Install a culture of AI-first thinking across the team to boost individual and team-wide efficiency Champion the daily use of AI tools across engineering workflows (planning, documentation, communication, debugging)
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