Product Engineer - DoiT Labs

Job Description

Location
Our Product Engineer - DoiT Labs will be an integral part of our R&D team in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Spain. We are also open to contractors in Eastern Europe and Portugal.

Who We Are
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.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Mission
We’re hiring a Product Engineer to join DoiT Labs, our internal research department dedicated to building next-generation, AI-powered products that transform how organizations optimize cloud spend - across AI, Kubernetes, data clouds, and the broader multi-cloud landscape.

This role is for a builder who thinks end-to-end. You won’t just write code - you’ll deeply understand the problem, talk to customers, shape the solution, ship it fast, measure the impact, and iterate. We’re looking for someone with a “technical founder” mindset: equally comfortable digging into cloud billing data, prototyping a new AI-driven insight, or jumping on a call with a practitioner to pressure-test an idea.

AI-first is not a buzzword here - it’s how we work. You’ll be expected to use AI daily to amplify your own productivity and to embed intelligent capabilities into everything you build.

The Opportunity
As a Product Engineer in DoiT Labs, you will own the full lifecycle of solving meaningful problems for cloud practitioners - from discovery through delivery and beyond. This is not a role where someone else defines what to build and hands you a spec. You will be embedded in the problem space: understanding customer pain, identifying opportunities, designing solutions, building and shipping them rapidly, and learning from real-world usage to iterate.
Your work will focus on our next generation of cloud cost optimization products, spanning Generative AI, Kubernetes cost management, data cloud optimization, and broader multi-cloud financial intelligence. You’ll operate at the intersection of product thinking, full-stack engineering, and AI - leveraging large language models and intelligent automation to deliver step-change improvements in how practitioners manage cloud spend.

Responsibilities

• Full-lifecycle problem solving
• Own problems end-to-end: from understanding user pain, through solution design, implementation, release, measurement, and iteration - not just the coding step.
• Engage directly with customers and internal domain experts to build deep empathy for the workflows and challenges of cloud operators and FinOps practitioners.

Translate ambiguous problem spaces into clear, thin-sliced increments that can be shipped, measured, and learned from quickly.

AI-first product development

• Use AI tools daily to amplify your own engineering work - coding, analysis, research, and prototyping.
• Design and build AI-powered features as a default approach: intelligent recommendations, automated insights, natural-language interfaces, and predictive capabilities for cloud cost optimization.
• Make informed decisions on model selection, prompt engineering, latency/accuracy/cost tradeoffs, and responsible AI considerations as a core part of your engineering practice.

Fast iteration and shipping

• Operate with a bias toward action: prototype rapidly, ship frequently, and validate ideas through real customer usage rather than prolonged planning cycles.
• Build experiments and MVPs that generate measurable learning - and use those learnings to decide what to invest in next.
• Maintain high engineering standards without letting perfection slow down delivery; know when to take deliberate shortcuts and when to invest in durability.

Full-stack engineering across the cloud

• Build across the full stack - backend services, APIs, data pipelines, and frontend interfaces - whatever the problem demands.
• Work with cloud-native billing, usage, and operational data from AWS, GCP, and Azure to build cost optimization and governance capabilities.
• Develop solutions that operate across Kubernetes environments, data cloud platforms, and broader multi-cloud infrastructure.
• Build state-of-the-art solutions for Generative AI observability and FinOps - enabling customers to understand, monitor, and optimize the cost and performance of their AI/ML workloads across cloud environments.

Ownership and customer impact

• Take full ownership of the solutions you ship - including reliability, user experience, and measurable outcomes.
• Define what success looks like for your work using clear metrics: adoption, activation, workflow improvement, cost savings delivered, and customer-reported impact.
• Participate in customer conversations and feedback loops to continuously validate direction and surface new opportunities.

Qualifications

• 5+ years of professional software engineering experience, with demonstrated ability to deliver complete products or features end-to-end.
• AI-first mindset - you actively use AI tools to accelerate your work and instinctively look for opportunities to embed AI into what you build.
• Strong full-stack engineering capability: you can work effectively across backend, frontend, APIs, and data layers without being confined to a single technology or language.
• Solid understanding of public cloud platforms (AWS, GCP, and/or Azure) - including core concepts like compute, networking, IAM, Kubernetes, and billing/cost structures.
• Product-oriented thinking: you care as much about why you’re building something and whether it works for users as you do about how it’s built.
• Comfort with ambiguity and fast-changing priorities - you thrive when you need to figure out the right problem to solve, not just the right solution.
• Strong customer empathy and communication skills -- you can engage with technical practitioners, synthesize feedback, and explain complex ideas clearly.
• Excellent communication skills in English, both written and verbal.
• Self-motivated, resourceful, and effective in a remote, fast-moving team environment.

Bonus Points

• Hands-on experience building AI/ML-powered product features (LLM integration, recommendation systems, intelligent automation).
• Background in a startup, research lab, or “0-to-1” product environment where you wore multiple hats.
• Familiarity with data cloud platforms (Snowflake, Databricks, BigQuery) and their cost/usage dynamics.

How Success Will Be Measured

• You consistently ship working product increments that generate customer learning and measurable value.
• AI-powered features you build demonstrate tangible improvements in user efficiency, decision quality, or cost outcomes - not just novelty.
• You contribute across the full lifecycle: discovery, design, build, release, and iteration - not just the engineering portion.
• Your work advances from prototype to real customer impact, whether through adoption into the core platform, new product capabilities, or demonstrated workflow improvement.
• You maintain high velocity without sacrificing quality, reliability, or user trust.

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.

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. We embrace and support leveling up your skills professionally and personally.
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button.

Full-time employee benefits include:

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

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it’s our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote