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Product Engineer - DoiT Labs

1 hour, 39 minutes ago
United Kingdom, Estonia, Ireland, Netherlands, Portugal, Spain, Sweden, Israel
Full-time
Senior
Full-stack Engineer
Software Development
AWS Azure Databricks Django GCP Generative AI GraphQL JavaScript Kubernetes Microservices Node.js Python REST API Snowflake Terraform
Apply Now
Zendesk

Zendesk

Zendesk provides a comprehensive software solution designed to enhance customer service and engagement through an AI-powered platform that facilitates communication across various channels, including text, mobile, phone, email, live chat, and social me...

Professional Services
5K-10K
Founded 2007
View All Jobs 75

Description

  • Own problems end to end, from customer discovery and solution design through implementation, release, measurement, and iteration.
  • Engage directly with customers and internal domain experts to understand practitioner workflows and pain points.
  • Translate ambiguous problem spaces into thin-sliced increments that can be shipped and validated quickly.
  • Use AI tools daily to accelerate coding, analysis, research, and prototyping.
  • Design and build AI-powered features such as intelligent recommendations, automated insights, natural-language interfaces, and predictive capabilities.
  • Make product and engineering decisions around model selection, prompt engineering, latency, accuracy, cost tradeoffs, and responsible AI.
  • Prototype rapidly, ship frequently, and validate ideas through real customer usage and experiments.
  • Build across the full stack, including backend services, APIs, data pipelines, and frontend interfaces.
  • Work with cloud billing, usage, and operational data from AWS, GCP, and Azure to create cost optimization and governance capabilities.
  • Take ownership of shipped solutions, including reliability, user experience, measurable outcomes, and continuous iteration.

Requirements

  • 5+ years of professional software engineering experience delivering products or features end to end.
  • Strong full-stack engineering capability across backend, frontend, APIs, and data layers.
  • Solid understanding of public cloud platforms such as AWS, GCP, and/or Azure, including compute, networking, IAM, Kubernetes, and billing/cost structures.
  • Product-oriented thinking with a focus on both user value and implementation.
  • Comfort working in ambiguous, fast-changing priorities and figuring out the right problem to solve.
  • Strong customer empathy and communication skills for working with technical practitioners and synthesizing feedback.
  • Excellent written and verbal English communication skills.
  • Self-motivated and effective in a remote, fast-moving team environment.
  • AI-first mindset with active use of AI tools to accelerate work.
  • Preferred: hands-on experience building AI/ML-powered product features such as LLM integrations, recommendation systems, or intelligent automation.
  • Preferred: background in a startup, research lab, or 0-to-1 product environment.
  • Preferred: familiarity with data cloud platforms such as Snowflake, Databricks, or BigQuery and their cost/usage dynamics.

Benefits

  • Remote full-time work options in the UK, Ireland, Estonia, the Netherlands, Sweden, and Spain, with contractor options in Eastern Europe and Portugal.
  • Unlimited vacation.
  • Flexible working options.
  • Health insurance.
  • Parental leave.
  • Employee stock option plan.
  • Home office allowance.
  • Professional development stipend.

Interested in this position?

Apply directly on the company website

Apply Now

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