Staff Software Engineer, Grafana Labs

• 8+ years of software engineering experience, with a strong focus on systems integration and/or internal platform development
• Expert-level Python — you write production code, not just scripts, Java, and Java Script
• Deep hands-on experience with Salesforce (data model, APIs, automation) and at least one cloud data warehouse (Snowflake or BigQuery)
• Proven track record building internal tooling that replaced or meaningfully reduced reliance on commercial SaaS products
• Solid grasp of data modeling, API design, event-driven architectures, and ETL/ELT patterns
• Experience integrating billing, finance, or quote-to-cash systems (e.g., Stripe, NetSuite, Zuora, or similar)
• Demonstrated ability to work autonomously in ambiguous environments — you scope your own work and drive it to completion
• Strong communicator who can translate technical tradeoffs for non-technical GTM and finance stakeholders
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools

Desirable

• We're looking for a Staff Integrations Engineer to join our GTM Tools & Technology team — a hybrid role sitting at the intersection of Revenue Operations and internal software engineering
• You'll own the architecture and delivery of integrations across our go-to-market stack while building the internal GTM tooling to help us deprecate unnecessary SaaS spend
• This is a builder role
• You'll write production Python, design data models, partner closely with Revenue Operations and Finance stakeholders, and act as the technical anchor for a team that moves fast
• The right person is as comfortable diagramming a CRM data flow as they are shipping an internal application from scratch
• This role sits within the GTM Systems team, and you will work closely with the Field Operations team and the System Administrators within GTM Systems
• Architect and own end-to-end integrations across Salesforce, Snowflake/BigQuery, Slack, Grafana, and billing & finance systems
• Define and enforce integration patterns, and API standards across the GTM stack
• Lead incident response and root-cause analysis for integration failures; drive improvements to observability and alerting
• Partner with Revenue Operations to translate business requirements into reliable, scalable technical solutions
• Evaluate and rationalize third-party connectors, middleware, and iPaaS tooling against build-vs-buy criteria
• Design and ship internal applications that replace SaaS point-solutions — reducing cost, consolidating workflows, and increasing team leverage
• Establish a lightweight internal development practice: code standards, CI/CD, deployment patterns, and documentation norms
• Leverage AI/LLM capabilities (APIs, agentic workflows) to accelerate internal tool development and automate repetitive operations work
• Maintain a clear deprecation roadmap tied to measurable SaaS spend reduction targets
• Set the technical direction for how GTM systems share data — defining canonical data models, source-of-truth ownership, and sync strategies
• Conduct design reviews and provide architectural guidance to engineers, RevOps analysts, and technical stakeholders
• Identify and remediate technical debt proactively; advocate for engineering rigor in a primarily non-engineering organization
• We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction
• We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards
• You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro)