Engineering Manager - Analytics House

About the role

DoiT is looking for an Engineering Manager for its Analytics House, a hands-on, player-coach leadership role embedded in the global R&D team. The position is remote and open to candidates based in the East Coast US, the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. The manager runs the team, executes and delivers, and grows its impact.

Key responsibilities

• Lead a team of engineers, owning its delivery and development, and foster continuous improvement and growth through regular 1:1s, growth plans and performance reviews.
• Develop future leaders such as tech leads and senior engineers ready to manage, and build the bench.
• Write and review code, take part in architectural decisions, and uphold engineering standards through pull-request review and a healthy release process.
• Work AI-augmented and lead an AI-augmented team, applying judgment about where AI adds value.
• Own the team's commitments, run a disciplined cadence of planning and delivery, and partner with the Technical Product Owner and Product team on scope, sequencing and trade-offs.
• Own hiring, interview thoughtfully and recruit to the team's standard.
• Communicate clearly upwards, empower senior engineers downwards, and partner with Product, Design, GTM, Customer Success and other teams sideways.

Required profile

• 10+ years of engineering experience, including 4+ years in engineering management roles with active coding.
• Experience building cloud-based SaaS products and running services in production on AWS, GCP or Azure, owning availability, cost and the customer-facing surface.
• Track record of transforming an engineering team with measurable gains in delivery velocity, technical quality or team caliber.
• Deep fluency in the team's stack, able to read, write and review code at a senior level.
• Strong opinions on how high-performing teams operate, and excellent judgment under pressure.

Required skills

• API-first mindset, with products accessible through APIs.
• Strong background in databases, SQL, query optimization and BigQuery.
• Bonus: established AI-augmented workflow, experience with multiple cloud providers, and background in scaling teams or systems.

What we offer

• Unlimited vacation and flexible working options.
• Health insurance, parental leave and home office allowance.
• Employee stock option plan and professional development stipend.
• Peer recognition program.