Staff Software Engineer | United States | Remote

Grafana Labs

11h•$174,986 - $209,983•Remote

About The Position

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. 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).

Requirements

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

Nice To Haves

Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
Experience with workflow automation platforms like n8n, Workato, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA

Responsibilities

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