Engineering Manager – Analytics

Posted 1hrs ago

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Job Description

Engineering Manager leading hands-on cloud SaaS engineering teams at DoiT, a global cloud technology company. Driving architecture, delivery, hiring, team growth, and AI-augmented engineering practices.

Responsibilities:

  • Lead a team of engineers, owning delivery and development
  • Drive continuous improvement in team processes, delivery, technical quality, and growth
  • Support team members’ professional well-being and career development through 1:1s, growth plans, performance reviews, and feedback
  • Develop future technical and engineering leaders
  • Write and review code and contribute to technical decisions
  • Drive architectural and technical design decisions with senior individual contributors
  • Uphold engineering standards through pull-request reviews and a healthy release process
  • Lead an AI-augmented engineering team and apply AI tools judiciously
  • Own team commitments, planning, prioritization, roadmap, sequencing, and delivery quality
  • Partner with Technical Product Owner and Product team on scope, tradeoffs, and roadmap direction
  • Align engineering work with broader business objectives
  • Re-plan, re-prioritize, and re-staff as business needs change
  • Own hiring, interviewing, recruiting, coaching, and performance decisions for the team
  • Mentor other engineering managers and strengthen the management bench
  • Communicate context and escalations to leadership
  • Empower senior engineers and coach team members
  • Collaborate with Product, Design, GTM, Customer Success, and other teams

Requirements:

  • 10+ years of engineering experience
  • 4+ years in engineering management roles with active coding responsibilities
  • Hands-on experience building cloud-based SaaS products
  • Production experience running services on AWS, GCP, or Azure
  • Experience owning availability, cost, and customer-facing product surfaces
  • API-first product development mindset
  • Strong background in databases, SQL, query optimization, and BigQuery
  • Track record of measurably transforming an engineering team
  • Deep technical fluency in the team’s primary stack, including senior-level code reading, writing, and review
  • Clear philosophy on hiring, coaching, performance management, and technical decision-making
  • Excellent judgment under pressure and accountability for outcomes
  • Direct, candid communication skills
  • Bonus: established AI-augmented workflow and agentic workflow experience
  • Bonus: hands-on experience with multiple cloud providers
  • Bonus: experience scaling teams, processes, or technical systems

Benefits:

  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program
  • Flexible schedule balancing work and home life
  • Professional and personal skills development support