> Markdown version of [/jobs/ext/1478234-staff-software-engineer-united-states-remote](https://www.wearedevelopers.com/jobs/ext/1478234-staff-software-engineer-united-states-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Software Engineer | United States | Remote

- **Company:** Grafana Labs
- **Location:** New York, United States (Remote available)
- **Experience:** Expert
- **Salary:** $174,986.0 - $209,983.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, BigQuery, Software as a Service, Code Review, Continuous Integration, Customer Data Management, Extract Transform Load (ETL), Middleware, Python (Programming Language), Automation of Marketing, Netsuite, Open Source Technology, Salesforce.Com, Software Engineering, Systems Integration, Data Logging, ReactJS, Large Language Models, Snowflake, Grafana, Zapier, Technical Debt, Event Driven Architecture, Stripe, Slack, Production Code, Front End Software Development, OPUS (Software), Hubspot, Api Design, GPT, Zuora
- **Published:** July 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8bn0v5jlu

## About the Role

* 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

Bonus Points For

 * 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

## Description

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

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

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).


## Related Videos

- [WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More](https://www.wearedevelopers.com/videos/1786-wearedevelopers-live-ai-freelancing-keeping-up-with-tech-and-more)
- [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai)
- [Cloud as the new mainframe: why the cloud hype does not reflect the dev reality](https://www.wearedevelopers.com/videos/797-cloud-as-the-new-mainframe-why-the-cloud-hype-does-not-reflect-the-dev-reality)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)

## Related Articles

- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [How Much Does a Software Engineer Make? Realistic Software Engineering Salaries](https://www.wearedevelopers.com/magazine/425-how-much-does-a-software-engineer-make-realistic-software-engineering-salaries)
- [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)