[Hiring] Engineering Manager @DoiT

Role Description

The Engineering Manager - Analytics House will be an integral part of our global R&D team. This role is based remotely in the East Coast US, the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel.

The Engineering Manager is a hands-on, player-coach leadership role. You are embedded with your team - daily standup, code review, architectural calls, delivery planning, and performance management - and you own both the team's output and the team's growth.

This is a genuinely technical & leadership role. You are expected to write and review code, be a credible voice in architectural decisions, and stay current in your team's stack. You lead by demonstrating you can do the work at the highest level, not by title alone.

Your overarching mandate is to run the team, execute and deliver, and grow its impact.

• Build the bench, raise the standard, and keep the operating cadence sharp as the work and the organization evolve.
• Work AI-augmented yourself, expect the same from your team, and push the team's craft forward with every new capability that lands.

Responsibilities

• Team leadership & growth:
  • Leading a team of engineers, owning both its delivery and its development.
  • Lead a mindset and process of continuous improvement within the team.
  • Responsible for the professional well-being and career development of team members.
  • Develop the next layer of leadership - tech leads, senior engineers ready to manage, and ICs ready to step into staff roles.
• Technical leadership:
  • Write code and review code.
  • Drive the team's architectural and technical design decisions in partnership with senior ICs.
  • Uphold engineering standards through thorough, constructive pull-request review.
  • Work AI-augmented and lead an AI-augmented team.
• Roadmap & delivery:
  • Own the team's commitments - what was promised, when it was promised, and the quality bar that was held.
  • Run a disciplined cadence of planning, prioritization, and delivery.
  • Partner closely with the Technical Product Owner and Product team.
  • Understand the broader business objectives behind the work.
  • React decisively to change - re-planning, re-prioritizing, and re-staffing as the business moves.
• Hiring:
  • Own hiring for your team.
  • Interview thoughtfully, decide quickly, and refuse to lower the bar to fill seats.
  • Operate as a role model for other engineering managers across the organization.
• Day-to-day communication & collaboration:
  • Upwards: Communicate clearly and succinctly to leadership.
  • Downwards: Empower senior engineers to own key areas of the product.
  • Sideways: Partner effectively with Product, Design, GTM, Customer Success, and other teams.

Qualifications

• 10+ years of engineering experience, including 4+ years in engineering management roles where you actively coded as part of your responsibilities.
• Hands-on, real-life experience building cloud-based SaaS products.
• API first mindset.
• Strong background in databases, SQL, query optimization, and BigQuery.
• A track record of taking an engineering team and visibly transforming it.
• Deep technical fluency in your team's primary stack.
• Strong opinions on how high-performing engineering teams operate.
• Excellent judgment under pressure.
• Direct, candid communication.

Bonus Points

• A strong, already-established AI-augmented workflow.
• Hands-on experience with more than a single cloud provider.
• Background in scaling teams, processes, or technical systems as the organization grows.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

Company Description

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, we help our customers solve complex multicloud problems and drive efficiency.

We have specializations in Kubernetes, GenAI, CloudOps, and more, and are an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, working alongside more than 4,000 customers worldwide.