Remote Engineering Manager - Analytics House

The Fox; United States; Remote; USD 180,000 - 210,000; Full time

Benefits offered by this job

Flexible Working Options

Health Insurance

Parental Leave

Home Office Allowance

Professional Development Stipend

Peer Recognition Program

Job summary

DoiT seeks an experienced Engineering Manager - Analytics House to lead a remote, globally distributed team. You will drive architectural decisions, mentor engineers, and ensure delivery quality across cloud-based SaaS products on AWS, GCP, or Azure.

You will partner with product leadership to align scope with business objectives and manage a healthy release cadence. You will foster an AI-augmented workflow, push for velocity and quality, and role-model strong engineering management practices.

Qualifications

• 10+ years of engineering experience, including 4+ years in engineering management roles.
• Hands-on experience building cloud-based SaaS products in production on AWS, GCP, or Azure.
• API-first mindset; products are API-enabled for humans and agents.
• Strong background in databases, SQL, query optimization, and BigQuery.

Responsibilities

• Lead an AI-augmented engineering team with a hands-on, player-coach approach.
• Own the team's output, growth, and technical design decisions in partnership with senior ICs.
• Maintain engineering standards, release processes, and scalable, healthy components.
• Collaborate with Technical Product Owner and Product team to align scope and roadmap.

Skills

Engineering leadership

Cloud SaaS

API-first

SQL/BigQuery

Performance & reliability

AI augmentation

Tools

AWS

GCP

Azure

BigQuery

Job description

Remote Engineering Manager - Analytics House

2026-10-04T00:00:00

Fox Platt

Greater Manchester

GB

OL5 0

Work From Home

2027-01-02T19:01:56.967

Our 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. 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, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

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. You are responsible for the professional well-being and career development of team members. Develop engineers through regular 1:1s, growth plans, performance reviews, and direct, candid feedback. Drive the team's architectural and technical design decisions in partnership with senior ICs, ensuring alignment on approach and implementation. Uphold engineering standards through thorough, constructive pull-request review and a healthy release process, keeping the team's components scalable and in a healthy state. Work AI-augmented and lead an AI-augmented team, applying sharp judgment about where AI helps and holding the same quality bar for what ships. Own the team's commitments - what was promised, when it was promised, and the quality bar that was held. Partner closely with the Technical Product Owner and Product team on scope, sequencing, and tradeoffs, maintaining a roadmap that reflects both near-term priorities and longer-term direction. Understand the broader business objectives behind the work, translate that context for the team, and ensure engineering effort clearly aligns with those objectives. React decisively to change - re-planning, re-prioritizing, and re-staffing as the business moves - while keeping the team engaged and steady through the shift. Operate as a role model for other engineering managers across the organization: share your operating model, mentor peers, and raise the management bench.

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 - running services in production on AWS, GCP, or Azure, and owning availability, cost, and the customer-facing surface. API first mindset, products are built not just for end user experience through UI, they are fully functional and available through APIs, so both humans and agents can interact with the platform. Strong background in databases, SQL, query optimization, and BigQuery. A track record of taking an engineering team and visibly transforming it - measurable improvements in delivery velocity, technical quality, or team caliber. Strong opinions on how high-performing engineering teams operate, and a clear philosophy on hiring, coaching, performance management, and technical decision-making.

Bonus Points

• A strong, already-established AI-augmented workflow, with opinions on how to apply AI tools and agentic workflows to raise both velocity and quality.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life.

Full-time employee benefits include:

• Flexible Working Options
• Health Insurance
• Parental Leave
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

DoiT unites as Many Doers, One Team ,where diversity is more than a goal it's our strength.

LI-Remote

Our 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. 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, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 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. You are responsible for the professional well-being and career development of team members. Develop engineers through regular 1:1s, growth plans, performance reviews, and direct, candid feedback. Drive the team's architectural and technical design decisions in partnership with senior ICs, ensuring alignment on approach and implementation. Uphold engineering standards through thorough, constructive pull-request review and a healthy release process, keeping the team's components scalable and in a healthy state. Work AI-augmented and lead an AI-augmented team, applying sharp judgment about where AI helps and holding the same quality bar for what ships. Own the team's commitments - what was promised, when it was promised, and the quality bar that was held. Partner closely with the Technical Product Owner and Product team on scope, sequencing, and tradeoffs, maintaining a roadmap that reflects both near-term
priorities and longer-term direction. Understand the broader business objectives behind the work, translate that context for the team, and ensure engineering effort clearly aligns with those objectives. React decisively to change - re-planning, re-prioritizing, and re-staffing as the business moves - while keeping the team engaged and steady through the shift. Operate as a role model for other engineering managers across the organization: share your operating model, mentor peers, and raise the management bench. 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 - running services in production o n AWS, GCP, or Azure , and owning availability, cost, and the customer-facing surface . API first mindset, products are built not just for end user experience through UI, they are fully functional and available through APIs, so both humans and agents can interact with the platform Strong background in databases, SQL, query optimization, and BigQuery. A track record of taking an engineering team and visibly transforming it - measurable improvements in delivery velocity, technical quality, or team caliber. Strong opinions on how high-performing engineering teams operate, and a clear philosophy on hiring, coaching, performance management, and technical decision-making. Bonus Points A strong, already-established AI-augmented workflow, with opinions on how to apply AI tools and agentic workflows to raise both velocity and quality. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. Full-time employee benefits include: Flexible Working Options Health Insurance Parental Leave Home Office Allowance Professional Development Stipend Peer Recognition Program DoiT unites as Many Do ers, One Team ,where diversity is more than a goal it's our strength. LI-Remote

Full-time employee benefits include:

• Flexible Working Options
• Health Insurance
• Parental Leave
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

DoiT unites as Many Do ers, One Team ,where diversity is more than a goal it's our strength.

LI-Remote