Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 7
CI/CD
CRM @ 3
Communication @ 7
Data Modeling @ 6
ELT @ 6
ETL @ 6
Grafana
LLM
Marketing @ 4
NetSuite @ 4
Observability
Python @ 6
React @ 4
Salesforce @ 7
Slack @ 4
Snowflake @ 7
Stripe @ 4
Technical Leadership
Vector Databases @ 4
Workato @ 4
iPaaS
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Overview
Grafana Labs is looking for a Staff Integrations Engineer to join its GTM Tools & Technology team. This is a hybrid role at the intersection of Revenue Operations and internal software engineering.
This is a builder role where you will own the architecture and delivery of integrations across the go-to-market stack while building internal GTM tooling to help deprecate unnecessary SaaS spend.
Responsibilities
Integrations Engineering
- 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
Internal Tooling & Platform
- 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
Architecture & Technical Leadership
- 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
Requirements
- 8+ years of software engineering experience with a strong focus on systems integration and/or internal platform development
- Expert-level Python (production code, not just scripts)
- 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)
- Ability to work autonomously in ambiguous environments
- Strong communication skills to 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
Bonus Points
- Frontend frameworks & tooling experience (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)
- Experience automating sales/customer success/marketing workflows in a B2B SaaS environment
- Experience with workflow automation platforms (n8n, Workato, Prefect, Clay, PhantomBuster, Apify, Dust, or similar)
- 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
- Prior experience in open source or developer-focused SaaS companies
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