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The Utopia Studio

Co-builds AI startups with domain experts

Founding Product Engineer - Venture Platform & Infrastructure

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeDoha, Qatar$80k - $120k /yr

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Four to eight years of full-stack and backend development experience; startup or AI context is preferred.
  • Strong experience with modern frameworks such as React, Vue, Angular, Next.js, or SvelteKit, and backend systems such as Postgres, Supabase, or PlanetScale.
  • Experience with data pipelines such as Dagster or Airflow and modern data lakes such as Iceberg or Delta Lake.
  • Experience designing data-driven applications that integrate analytics and visualization into user-facing tools.
  • Comfort with cloud platforms such as AWS, GCP, or Azure, Docker, Kubernetes, and CI/CD pipelines.
  • Strong documentation and communication skills, including the ability to explain complex systems clearly.
  • Strong full-stack development skills and expertise in at least one modern front-end framework: React, Svelte, Vue, Angular, or Next.js.
  • Experience with backend systems, data pipelines, and cloud infrastructure, including Postgres, Supabase, AWS, Docker, and Kubernetes.
  • Comfort developing and deploying in hybrid environments, with CI/CD, monitoring, and observability practices.
  • Familiarity with data lake architectures such as Delta Lake or Iceberg and workflow orchestration tools such as Airflow or Dagster.

Responsibilities

  • Architect, build, and maintain Utopia OS infrastructure, including authentication, data systems, deployment, monitoring, and analytics.
  • Develop full-stack web applications and plugins for studio-wide decision-making and analytics.
  • Build and maintain data pipelines for ingestion, transformation, and deployment across ventures.
  • Develop and maintain backend systems and APIs, integrating databases such as Postgres, Supabase, and PlanetScale and data architectures such as Iceberg and Delta Lake.
  • Implement data pipelines and transformation workflows using Dagster or Airflow to enable real-time analytics across ventures.
  • Create reusable documentation and internal tooling to standardize engineering practices across the platform.
  • Harden early-stage products for scale, reliability, and compliance.
  • Collaborate with design and product teams to turn data and infrastructure capabilities into intuitive user experiences and venture-facing tools.
  • Implement CI/CD, observability, and security frameworks across the portfolio.
  • Design deployment templates for multi-tenant environments and enterprise integrations.
  • Work with venture teams to integrate AI workflows and shared infrastructure.
  • Improve developer experience through modern, intuitive tool design.
  • Provide technical guidance and mentorship to engineers and fellows, fostering learning, experimentation, and shared standards across the Studio.
  • Document architecture, standards, and playbooks for reuse across the Studio.
  • Communicate technical concepts to engineering and non-technical stakeholders.
  • Stay current with advances in generative AI, data infrastructure, and modern web engineering.
  • Work closely with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services.
  • Co-own technical discovery with the product trio by defining evaluation plans, success metrics, and risks before committing to builds.
  • Establish lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures.
  • Contribute to early foundations in evaluation, data, research, and security so the platform can scale responsibly without added layers or headcount.

Desired Qualifications

  • Startup or AI-context experience is preferred.

About the Company

The Utopia Studio

Co-builds AI startups with domain experts

The Utopia Studio co-builds AI companies with domain experts through its Co-Build Fellowship, bringing professionals from fields like surgery, energy, and infrastructure to hands-on sprint sessions (including in Doha, Qatar) to develop AI products for global markets. Its approach combines real-world expertise with AI development, turning practitioners’ know-how into deployable solutions across sectors such as construction, healthcare, energy, and security, and it also builds internal tools like Utopia OS. Unlike teams that rely mainly on in-house engineers, it partners directly with domain experts to co-create products and maintains a diverse, international portfolio. The studio aims to turn practitioners’ expertise into scalable AI products for global markets and to grow a family of AI-driven solutions through both portfolio companies and internal tools.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Doha, Qatar
Founded
Not listed

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