[Hiring] House Engineering Manager - Data Foundations @DoiT

Role Description

The House Engineering Manager is a hands-on leadership role centered on enablement and delivery. Your primary responsibility is to ensure the House consistently delivers on its commitments by unblocking engineers, maintaining focus, and creating an environment where the team can perform at its highest potential.

This is a technical role: you are expected to review engineering work, provide clear technical direction, and contribute to the codebase when needed. The balance between technical contribution and leadership depends on the team’s context, but your overarching mandate is to enable the team and own the execution and delivery of the House by having in-depth understanding and to be able to in-practice be hands-on on the team domain.

Responsibilities

• Team leadership
  • Leading a team of 5 to 10 engineers.
  • Driving ceremonies and the day-to-day operations of the team.
  • Be the enabler of the team, ensuring team members are unblocked as quickly as possible and that they are clear about what they need to deliver and on the value that the delivery will bring to our users.
  • Responsible for the professional well-being and career development of team members.
  • Manage team member performance and provide continuous feedback and mentoring.
• Technical leadership
  • Ensure high-quality production releases by actively supporting the engineering release process, monitoring deployments, and upholding the standards of the Production branch.
  • Review pull requests thoroughly and provide clear, actionable, and constructive feedback that elevates the team’s technical quality.
  • Lead and collaborate on technical design discussions, ensuring alignment on architecture and implementation approaches.
  • Drive and own the technical roadmap of the team, assessing technical debts and assuring that the components of the team are scaling and in a healthy state.
  • Maintain an AI-Driven mindset, evolving the team around AI-driven development.
• Roadmap & delivery
  • Work closely with the Technical Product Owner and UI/UX Designer to define, plan, and structure each sprint.
  • Understand broader business objectives and ensure engineering efforts align with those objectives.
  • Plan for incoming business needs and maintain a house-level roadmap that reflects both near-term priorities and longer-term direction.
  • Balance sprint commitments with customer-facing responsibilities by driving the resolution of incoming support tickets.
  • Follow an AI-Driven software development lifecycle.
• Day-to-day communication and collaboration
  • Upwards: Communicate clearly and succinctly, giving leadership the right level of context and prioritizing escalations.
  • Downwards: Empower Senior Engineers to own key areas of the product and coach team members.
  • Sideways: Collaborate effectively with other Houses, raising challenges and opportunities in a clear, constructive manner.

Qualifications

• Proven experience leading an engineering team (typically 5+ engineers) in a delivery-focused environment (3+ Years).
• Past experience as a software engineer for at least 5+ years.
• Strong hands-on technical background with the ability to review code, guide design decisions, and dive deep when needed.
• Experience owning delivery and execution, including sprint planning, backlog management, and release readiness.
• AI-Driven mindset, defaulting to AI while ensuring quality and consistency.
• Demonstrated ability to mentor, coach, and grow engineers through regular feedback and performance management.
• Strong communication skills, with the ability to translate business context into clear technical direction for the team.
• Experience working in a SaaS, cloud-native, or distributed systems environment.

Technical Experience

• Strong hands-on experience with Golang and Node.js (backend services, APIs, real-time systems).
• Strong hands-on experience with React (complex state management, performance optimization, large-scale front-end applications).
• Strong hands-on experience with building Data Pipelines using technologies such as Dagster or Airflow.
• Deep understanding of modern web architecture, including SPA frameworks, client-server communication patterns, and browser performance considerations.
• Solid experience designing and operating systems in cloud environments (AWS, GCP, Azure).
• Strong understanding of cloud fundamentals, including Microservices architecture, Managed pipeline orchestration, and Compute.
• Clear understanding of API analysis for data extraction and transformation.
• Familiarity with Infrastructure as Code tools such as Terraform or similar.
• Understanding of distributed systems concepts including consistency, availability, observability, and fault tolerance.
• Strong knowledge of system reliability, performance tuning, and production incident management.

Bonus Points

• Experience in cloud-native applications.
• 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