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The Utopia Studio

Co-builds AI startups with domain experts

Founding Product Engineer - Venture Platform & Infrastructure

Full-TimeUpdated on 10/23/2026
$80k - $120k/yr
Mid, Senior
Bachelor's, Master's
Doha, Qatar
HybridHybrid options; occasional global travel across Southeast Asia, Africa, and the Middle East.
Software EngineeringFull-Stack Engineering

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 is a venture studio that co-builds AI companies with domain experts through its Co-Build Fellowship, bringing professionals like surgeons, nurses, energy operators, and infrastructure specialists into hands-on sprint work (including in Doha, Qatar) to transform their expertise into AI products for global markets. Teams combine real-world knowledge with AI development via collaborative sprints and close practitioner collaboration to create dedicated AI offerings across sectors such as construction, energy, healthcare, and security. Unlike some peers, it directly partners with domain experts rather than relying mostly on in-house engineers or researchers, and it maintains a diverse portfolio while running international programs and developing its own toolkit. Its goal is to turn practitioners’ expertise into scalable AI products and to build a growing family of AI-driven solutions through portfolio companies and internal tools like Utopia OS.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Doha, Qatar

Founded

N/A

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Benefits

  • Hybrid Work Options
  • Remote Work Options
  • Company Equity