Coder is seeking a detail-oriented and proactive Product Operations Engineer to focus on owning data and reporting infrastructure for our Product & Engineering organizations. In this pivotal role, you will be instrumental in developing solutions for visualizing cross-platform data in accordance with ongoing organizational needs and ad hoc requests. You will collaborate closely with Product and Engineering leaders and managers as well as stakeholders across Coder orgs (e.g., Marketing, Revenue, etc.) to optimize internal operations and empower them with reliable and timely data insights. You will also write SQL queries, build dashboards, and modify our in-product telemetry engine to collect additional usage data.
This role requires technical acumen to build and maintain data integrations, script reports, and cultivate internal relationships to source and translate business requirements.
What you’ll do here
Design, build, and maintain data integrations between various internal systems to ensure a unified and accessible data landscape
Engineer and/or script custom reports across disparate systems based on requirements gathered and plans developed with your management and Product & Engineering leaders
Partner with Product & Engineering leadership and cross-functional stakeholders to understand data requirements, develop efficient operational processes and visualizations, and deliver impactful dashboards and reports for both recurring and immediate needs
Develop and manage internal data infrastructure and tools to ensure easy access and usability of relevant data for Product & Engineering teams and other stakeholders
Receive and execute ad hoc telemetry and reporting requests from internal stakeholders, prioritizing based on urgency and impact
Create and maintain comprehensive documentation for data integrations, internal data processes, data dictionaries, and best practices, including visualization standards. Promote standardization across teams
Create an automation to send Slack alerts when new Coder deployments become active in telemetry
Analyze telemetry data to help the CEO make business decisions
What we’re looking for
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
3+ years of experience in data operations, data engineering, business intelligence, or similar role, with a focus on internal data management, integration, and visualization
Strong understanding of data pipelines, ETL processes, and data warehousing concepts
Proven ability to design, build, and maintain data integrations using various methods and tools
Strong scripting skills (e.g., SQL, Python) for data manipulation, analysis, and report generation
Proficiency in SQL and experience with data manipulation and analysis
Proven experience in designing and building effective data visualizations using relevant tools (e.g., Tableau, Looker, Power BI, Grafana)
Experience with data processing and storage technologies (e.g., cloud-based data warehouses, data lakes)
Excellent organizational, problem-solving, and analytical skills, with a strong aptitude for visual storytelling with data for diverse audiences
Excellent interpersonal and relationship-building skills, with the ability to effectively communicate with and influence stakeholders across different teams
Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders across the organization to understand data needs and present findings visually and verbally.
Ability to work independently and manage multiple priorities in a fast-paced environment.
A proactive and detail-oriented mindset with a strong focus on data quality and impactful visualizations.
Our tech stack
Backend: Go, Postgres, GCP, Kubernetes, gRPC
Frontend: Typescript, React, Vite
IDE Extensions: Typescript, Kotlin
Observability: Prometheus, Grafana
CI/CD: GitHub Actions
General: GitHub, Slack, Discord, Notion
Bonus tacos if you have
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Experience with API integrations
BigQuery
JavaScript/TypeScript/React
A natural “tinkerer”
Experience with specific data visualization best practices and design principles for different business functions
Experience with requirements gathering and taking high-level ideas and turning them into working solutions
Salesforce
Technical Writing/Documentation
About Coder
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview Process
We believe that the interview process should be consistent and enjoyable. We value your time and hope to get through the interview process in two to three weeks if schedules allow. During this time, you will be able to meet a mix of individual contributors, managers, and leadership.
Coder is a Proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
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