{"schemaVersion":"jobsearcher.job.v1","id":"3624a54710d5e35c0b6c838e","url":"https://jobsearcher.com/jobs/3624a54710d5e35c0b6c838e","canonicalUrl":"https://jobsearcher.com/jobs/3624a54710d5e35c0b6c838e","title":"Senior Systems Developer","description":"Senior Systems Developer\nRole\nAs 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.\n\nThis 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.\n\nThe 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.\n\nAt 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.\n\nCompany\nInterpret 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 https://interpret.la/.\n\nResponsibilities\nSaaS Tool Development & Research Workflow Automation\nDesign, 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.\nTranslate research and business needs into clear requirements, prototypes, production-ready tools, and ongoing product improvements.\nReplace manual work with scalable systems that improve speed, accuracy, consistency, data quality, and user experience.\nBalance speed, quality, cost, supportability, and long-term maintainability when choosing SaaS-native automation, AI-assisted development, or custom development.\nAI Agents, MCP & AI-Assisted Development\nBuild and govern AI agent workflows that help automate coding, research operations, task routing, data handling, documentation, and project coordination.\nDesign, configure, or evaluate MCP servers and clients that connect AI tools to approved APIs, SaaS systems, data resources, and internal workflows.\nUse AI-assisted development platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools while validating generated code, dependencies, architecture, and security assumptions.\nDefine practical guardrails for agent behavior, tool access, human approval points, logging, error handling, retries, rollback paths, and responsible use of sensitive data.\nIntegrations, APIs, SaaS Tooling & Data Workflows\nBuild and support integrations across survey platforms, CRM systems, project management tools, reporting tools, databases, cloud services, and other business systems.\nWork with REST APIs, webhooks, OAuth/OIDC, JSON payloads, schema validation, data mapping, sync jobs, ETL-style workflows, error handling, retries, and auditability.\nDesign data workflows that support cleaner handoffs, better reporting, fewer manual steps, clear data lineage, and secure access to operational and participant information.\nEvaluate third-party SaaS tools, connectors, MCP servers, APIs, and automation platforms for fit, cost, permissions, reliability, and supportability.\nQA, Documentation & System Responsibility\nReview, QA, refactor, and maintain production tools, including AI-generated code, before and after launch.\nUse version control, centralized documentation, release notes, testing, monitoring, logging, and change tracking to keep systems reliable and understandable.\nApply practical privacy and security practices for PII and sensitive business data, including least privilege, permissions, credential handling, secure configuration, and data retention awareness.\nCommunicate status, risks, tradeoffs, training needs, and implementation decisions clearly to technical and non-technical stakeholders.\nSkills\nSenior-level ability to build SaaS tools, internal applications, automation layers, APIs, dashboards, and participant-facing systems.\nStrong working knowledge of APIs, webhooks, OAuth/OIDC, JSON, data mapping, SQL or structured data, and SaaS integration patterns.\nHands-on knowledge of MCP concepts, MCP servers and clients, AI agents, tool-calling workflows, and AI-assisted development.\nExperience with AI coding platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools.\nPractical understanding of databases, cloud-hosted applications, GitHub or version control, QA, release management, logging, monitoring, and post-launch support.\nSound judgment around privacy, PII, permissions, access control, credentials, vendor tools, and responsible AI use.\nAbility to turn stakeholder needs into useful, maintainable systems and explain technical concepts clearly.\nQualifications:\n4 to 7+ years of relevant experience in systems development, SaaS tools, automation engineering, business systems, technical operations, software development, or a related field.\nDemonstrated experience building and maintaining production tools, integrations, dashboards, automations, internal applications, or participant-facing systems.\nExperience with APIs, authentication, data handling, SaaS platforms, databases, version control, and sensitive operational or participant data.\nDirect MCP knowledge or hands-on experience with MCP servers and clients, AI agents, internal copilots, tool-calling workflows, or LLM-connected systems is strongly preferred.\nExperience using AI coding tools or rapid application platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or similar tools.\nExperience supporting QA, documentation, release readiness, stakeholder training, and ongoing product maintenance.\nBachelor's degree in a relevant field is preferred, but equivalent professional experience will be considered.\nMust be authorized to work in the United States.\n\nPreferred experience:\nExperience in market research, insights, operations, gaming, entertainment, SaaS, AI systems, or technology environments.\nFamiliarity with qualitative recruiting, quantitative fielding, participant communities, screening workflows, and primary research operations.\nExperience designing tools, portals, integrations, or automations that support research teams or participant-facing experiences.\nFamiliarity with practical privacy and security controls, access reviews, audit logs, vendor risk, data retention, and responsible AI guardrails.\n\nCompensation + Benefits\nThe pay range for this position at the start of employment is expected to be between $109,000 - $155,000 per year, is based on market location, and may vary further depending on individualized factors, such as job-related knowledge, skills, experience, and other objective business considerations. In addition to the base salary, total compensation also includes tiered performance bonus, health/dental/vision, 401(k), generous paid time off, physical & mental wellness program, paid parental/family leave, and continuing education scholarship program.","company":"Interpret","rawCompany":"interpret","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:18:30.270Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Systems Developer","description":"Senior Systems Developer\nRole\nAs 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.\n\nThis 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.\n\nThe 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.\n\nAt 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.\n\nCompany\nInterpret 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 https://interpret.la/.\n\nResponsibilities\nSaaS Tool Development & Research Workflow Automation\nDesign, 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.\nTranslate research and business needs into clear requirements, prototypes, production-ready tools, and ongoing product improvements.\nReplace manual work with scalable systems that improve speed, accuracy, consistency, data quality, and user experience.\nBalance speed, quality, cost, supportability, and long-term maintainability when choosing SaaS-native automation, AI-assisted development, or custom development.\nAI Agents, MCP & AI-Assisted Development\nBuild and govern AI agent workflows that help automate coding, research operations, task routing, data handling, documentation, and project coordination.\nDesign, configure, or evaluate MCP servers and clients that connect AI tools to approved APIs, SaaS systems, data resources, and internal workflows.\nUse AI-assisted development platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools while validating generated code, dependencies, architecture, and security assumptions.\nDefine practical guardrails for agent behavior, tool access, human approval points, logging, error handling, retries, rollback paths, and responsible use of sensitive data.\nIntegrations, APIs, SaaS Tooling & Data Workflows\nBuild and support integrations across survey platforms, CRM systems, project management tools, reporting tools, databases, cloud services, and other business systems.\nWork with REST APIs, webhooks, OAuth/OIDC, JSON payloads, schema validation, data mapping, sync jobs, ETL-style workflows, error handling, retries, and auditability.\nDesign data workflows that support cleaner handoffs, better reporting, fewer manual steps, clear data lineage, and secure access to operational and participant information.\nEvaluate third-party SaaS tools, connectors, MCP servers, APIs, and automation platforms for fit, cost, permissions, reliability, and supportability.\nQA, Documentation & System Responsibility\nReview, QA, refactor, and maintain production tools, including AI-generated code, before and after launch.\nUse version control, centralized documentation, release notes, testing, monitoring, logging, and change tracking to keep systems reliable and understandable.\nApply practical privacy and security practices for PII and sensitive business data, including least privilege, permissions, credential handling, secure configuration, and data retention awareness.\nCommunicate status, risks, tradeoffs, training needs, and implementation decisions clearly to technical and non-technical stakeholders.\nSkills\nSenior-level ability to build SaaS tools, internal applications, automation layers, APIs, dashboards, and participant-facing systems.\nStrong working knowledge of APIs, webhooks, OAuth/OIDC, JSON, data mapping, SQL or structured data, and SaaS integration patterns.\nHands-on knowledge of MCP concepts, MCP servers and clients, AI agents, tool-calling workflows, and AI-assisted development.\nExperience with AI coding platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools.\nPractical understanding of databases, cloud-hosted applications, GitHub or version control, QA, release management, logging, monitoring, and post-launch support.\nSound judgment around privacy, PII, permissions, access control, credentials, vendor tools, and responsible AI use.\nAbility to turn stakeholder needs into useful, maintainable systems and explain technical concepts clearly.\nQualifications:\n4 to 7+ years of relevant experience in systems development, SaaS tools, automation engineering, business systems, technical operations, software development, or a related field.\nDemonstrated experience building and maintaining production tools, integrations, dashboards, automations, internal applications, or participant-facing systems.\nExperience with APIs, authentication, data handling, SaaS platforms, databases, version control, and sensitive operational or participant data.\nDirect MCP knowledge or hands-on experience with MCP servers and clients, AI agents, internal copilots, tool-calling workflows, or LLM-connected systems is strongly preferred.\nExperience using AI coding tools or rapid application platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or similar tools.\nExperience supporting QA, documentation, release readiness, stakeholder training, and ongoing product maintenance.\nBachelor's degree in a relevant field is preferred, but equivalent professional experience will be considered.\nMust be authorized to work in the United States.\n\nPreferred experience:\nExperience in market research, insights, operations, gaming, entertainment, SaaS, AI systems, or technology environments.\nFamiliarity with qualitative recruiting, quantitative fielding, participant communities, screening workflows, and primary research operations.\nExperience designing tools, portals, integrations, or automations that support research teams or participant-facing experiences.\nFamiliarity with practical privacy and security controls, access reviews, audit logs, vendor risk, data retention, and responsible AI guardrails.\n\nCompensation + Benefits\nThe pay range for this position at the start of employment is expected to be between $109,000 - $155,000 per year, is based on market location, and may vary further depending on individualized factors, such as job-related knowledge, skills, experience, and other objective business considerations. In addition to the base salary, total compensation also includes tiered performance bonus, health/dental/vision, 401(k), generous paid time off, physical & mental wellness program, paid parental/family leave, and continuing education scholarship program.","datePosted":"2026-08-04T18:18:30.270Z","dateModified":"2026-08-04T18:18:30.270Z","hiringOrganization":{"@type":"Organization","name":"Interpret","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3624a54710d5e35c0b6c838e"},"url":"https://jobsearcher.com/jobs/3624a54710d5e35c0b6c838e"}}