Senior Systems Developer

Role

As a Senior Systems Developer, you will design, build, implement, and maintain SaaS tools, APIs, MCP‑connected agents, automations, and data workflows that improve the primary research process across Interpret and the Good Entertainment Group. This role supports both internal operations and participant‑facing experiences, with a focus on tools that help teams recruit, screen, field, manage, track, and report research more effectively.

This is a senior individual contributor role for someone who can move from idea to prototype to reliable production system. You will partner with stakeholders to understand operational pain points, design durable solutions, review and harden AI‑generated code, and maintain systems responsibly over time.

The right person is a builder who understands SaaS platforms, API design, databases, AI‑assisted development, Model Context Protocol, and agent workflows, and can make complex technology useful for research teams and participants.

At Interpret, we consider ourselves fun scientists, and we’re searching for someone who holds a common love for the industries we work in, has a curiosity for consumer behavior, and wants to apply their analytic chops and methodological expertise to the video game space. A fun scientist is someone who thrives in a dynamic environment where your hobbies and personal passion for gaming make work feel like, well, not work.

Interpret is a global media, entertainment, and technology insights agency. We work with the biggest brands in entertainment and technology, across video games, movies and television, consumer electronics, social media, and advertising. While headquartered in Los Angeles, our team spans the globe. We have offices in Dallas, San Francisco, London, Munich, Shanghai, Seoul, and Brazil, and a network of strong local partners around the world.

We are specialists in global consumer insight, with the majority of our engagements involving multiple markets and languages. For more information, visit (Use the "Apply for this Job" box below)..

• Design, build, and maintain internal and participant‑facing tools, dashboards, portals, automations, and workflow systems that support recruiting, screening, fielding, project coordination, reporting, and operational visibility.
• Translate research and business needs into clear requirements, prototypes, production‑ready tools, and ongoing product improvements.
• Replace manual work with scalable systems that improve speed, accuracy, consistency, data quality, and user experience.
• Balance speed, quality, cost, supportability, and long‑term maintainability when choosing SaaS‑native automation, AI‑assisted development, or custom development.

• Build and govern AI agent workflows that help automate coding, research operations, task routing, data handling, documentation, and project coordination.
• Design, configure, or evaluate MCP servers and clients that connect AI tools to approved APIs, SaaS systems, data resources, and internal workflows.
• Use AI‑assisted development platforms such as Codex, Claude Code, Cursor, Git Hub Copilot, Lovable, Base
  44, or comparable tools while validating generated code, dependencies, architecture, and security assumptions.
• Define practical guardrails for agent behavior, tool access, human approval points, logging, error handling, retries, rollback paths, and responsible use of sensitive data.

• Build and support integrations across survey platforms, CRM systems, project management tools, reporting tools, databases, cloud services, and other business systems.
• Work with REST APIs, webhooks, OAuth/OIDC, JSON payloads, schema validation, data mapping, sync jobs, ETL‑style workflows, error handling, retries, and auditability.
• Design data workflows that support cleaner handoffs, better reporting, fewer manual steps, clear data lineage, and secure access to operational and participant information.
• Evaluate third‑party SaaS tools, connectors, MCP servers, APIs, and automation platforms for fit, cost, permissions, reliability, and supportability.