Staff Software Engineer | Canada |Remote
About The Position
Grafana Labs is seeking a Staff Integrations Engineer to join their GTM Tools & Technology team. This hybrid role bridges Revenue Operations and internal software engineering, focusing on the architecture and delivery of integrations within the go-to-market stack and building internal GTM tooling to reduce SaaS spend. The role involves writing production Python, designing data models, collaborating with Revenue Operations and Finance, and acting as a technical lead. The ideal candidate is comfortable with CRM data flows and building internal applications from scratch. This position is part of the GTM Systems team and works closely with the Field Operations team and System Administrators within GTM Systems. The company emphasizes a 100% remote, global culture with a focus on open source, collaboration, and innovation. They encourage the use of modern AI coding assistants and offer access to frontier models to enhance developer productivity.
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
Benefits
- Restricted Stock Units (RSUs)
- 30 days of annual leave
- 3 Grafana Shutdown Days
- Company-funded usage budget for AI coding assistants
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
