Netlify

Data Engineer

• Design, build, and optimize high-performance data pipelines that power critical business and customer-facing systems.
• Implement and maintain real-time streaming pipelines using Kafka and both relational and non-relational databases (MongoDB, Snowflake, ClickHouse) to support operational and analytical use cases.
• Refactor legacy data systems to improve performance, scalability, and reliability, while ensuring billing systems remain stable and data flows remain accurate for downstream processes.
• Build robust observability and alerting systems to surface data quality or reliability issues before they impact customers or billing.
• Contribute to systems engineering efforts within the data organization, emphasizing observability, monitoring, and infrastructure-as-code best practices.
• Partner closely with Software Engineers, Data Analysts, Data Engineers, and Systems Admins to enable reliable data modeling, reporting, and invoicing across self-serve and enterprise billing environments.
• Drive architectural decisions and evaluate tooling and frameworks to improve performance and cost efficiency.
• Mentor other engineers on data pipeline best practices, from instrumentation to consumption.
• Document architecture, runbooks, and operational processes to ensure cross-team confidence and sustainability.
• Balance innovation with pragmatism, knowing when to experiment versus stabilize given our small team and large production footprint.
• Identify and implement internal process improvements: automating manual workflows, optimizing data delivery, and redesigning infrastructure for greater scalability.

Staff Data Pipeline Engineer

Full-stack Engineer

• Use expertise in full-stack development (TypeScript, JavaScript, Go, and React) to ship reliable, scalable, performant code
• Lead medium-sized projects from conception to delivery, writing RFCs and managing project timelines
• Build and maintain user-facing features and product APIs that scale to serve millions of developers worldwide
• Apply engineering practices: testing, documentation, observability, and performance optimization
• Pragmatically leverage AI tools to enhance the development workflow
• Contribute to early-stage prototypes and production-ready applications impacting user experience and business metrics
• Work with domains, DNS, and certificate management systems to ensure reliable and secure user experiences
• Practice proactive async communication and document workflows and decision-making clearly
• Participate in code reviews, on-call rotations, and continuous improvement efforts to reduce technical debt
• Collaborate with Product, Design, and cross-functional teammates to design and implement user flows that enhance the developer experience

Senior Software Engineer

• Use expertise in full-stack development (TypeScript, JavaScript, Go, and React) to ship reliable, scalable, performant code across the product suite
• Lead medium-sized projects from conception to delivery, writing RFCs and managing project timelines
• Build and maintain user-facing features and product APIs that scale to serve millions of developers worldwide
• Apply engineering practices: testing, documentation, observability, and performance optimization
• Leverage AI tools pragmatically to enhance development workflows
• Contribute to early-stage prototypes and production-ready applications impacting user experience and business metrics
• Work with domains, DNS, and certificate management systems to ensure reliable and secure user experiences
• Practice proactive async communication and document workflows and decisions clearly
• Participate in code reviews, on-call rotations, and continuous improvement efforts to reduce technical debt
• Collaborate regularly with Product, Design, and cross-functional teams to design and implement user flows that enhance the developer experience

Revenue Operations

• Partner with Sales leadership to define and implement segmentation, territories, coverage models, quotas, and compensation incentives
• Connect PLG signals with outbound, inbound, product usage and enterprise sales activity to create a unified GTM strategy
• Drive cross-functional alignment between Sales, Product, Marketing, and Customer Success to maximize revenue outcomes
• Partner with Finance to improve forecasting accuracy, ARR predictability, and investment planning
• Optimize the GTM tech stack (SFDC, Gong, HubSpot, LeanData, LinkedIn, Vitally) for scale and efficiency
• Establish and own rigorous GTM operating cadences to review targets, unblock deals, assess churn risk, and prioritize experiments
• Create disciplined systems for SLA tracking, forecast accuracy, churn risk management, pipeline hygiene, and data governance
• Deliver insights on pipeline health, conversion rates, productivity, and expansion across self-serve, high-velocity, and enterprise segments
• Build, mentor, and scale a high-performing Revenue Operations team that supports both high-velocity and enterprise sales
• Translate data into clear, context-rich recommendations that guide executive decision-making
• Design scalable processes that support both fast-cycle PLG-driven deals and complex enterprise workflows
• Identify and remove friction in quote-to-cash, attribution, and sales workflows

Senior Director, Revenue Operations

Manager

• Serve as the go-to advisor for Sales on deal structure, discount strategy, commercial terms, and Order Form generation meeting SLA targets for turnaround time.
• Own end-to-end deal governance: validate data accuracy, ensure compliance with revenue-recognition policies.
• Continuously improve quote-to-cash processes: document SOPs, automate approvals where possible, and drive cross-functional projects that reduce friction and improve speed to revenue.
• Support month-end / quarter-end close activities, reconciling bookings, resolving order exceptions, and collaborating with Accounting to ensure clean hand-off.

Staff Data Pipeline Engineer

Senior Software Engineer

Senior Software Engineer

Senior Director, Revenue Operations

Deal Desk Manager