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Senior Software Engineer - AI and Automation, Data & Analytics | USA | Remote

United States (Remote)

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Senior Software Engineer - AI and Automation

The Opportunity: 

Grafana's Revenue Operations organization is looking for a Senior Software Engineer focused on building AI-powered internal tools and agentic workflows for our GTM teams. You'll own the technical infrastructure that powers automation across Sales, Customer Success, and Marketing—from agentic skills that automate SDR outreach to backend services that connect AI models to Salesforce, Slack, BigQuery, and internal data platforms.

You'll be the technical architect behind systems that give every GTM team member leverage. Part systems builder and part problem detective, you'll identify bottlenecks across the business, design automated solutions using LLM APIs and orchestration frameworks, and ship tools that people actually use. Your work will directly shape how Grafana's GTM organization scales.  You'll partner closely with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that reduces manual work and surface intelligence.

What You’ll Be Doing:

Agentic Tool Development

  • Own end-to-end development of agentic and AI-integrated workflows: design, implementation, testing, deployment, and maintenance
  • Build modular, composable agentic systems using frameworks like LangChain, CrewAI, Anthropic MCP, or similar orchestration libraries
  • Develop "agentic skills" for SDR and CSM teams—reusable capabilities that agents can invoke across interfaces (Slack, dashboards, internal apps)
  • Implement observability and feedback loops: logging, performance metrics, prompt iteration, and model evaluation

Systems Integration & Backend Services

  • Build MCP servers, CLIs and APIs and microservices that connect AI models to business systems: Salesforce, BigQuery, Slack, HubSpot, email, calendars, analytics tools
  • Architect data flows that enable retrieval-augmented generation (RAG): connecting LLMs to internal knowledge bases, customer data in BigQuery, Salesforce data, and real-time business context
  • Build serverless or containerized services (GCP Cloud Functions, Cloud Run, or similar) that scale with usage and integrate with Grafana's cloud infrastructure

GTM Automation & Workflow Manufacturing

  • Scope high-impact automation problems autonomously by shadowing Sales, Customer Success, and Marketing teams to identify efficiency gaps
  • Design and deploy automation workflows using tools like n8n, Zapier, Prefect, or custom orchestration platforms
  • Build systems designed for self-service, with documentation and enablement materials that let others operate them independently.

Collaboration & Technical Leadership

  • Partner with GTM Analytics, Field Operations, Strategy & Planning, and GTM Systems teams to scope, prioritize, and refine use cases
  • Collaborate with Data Engineering to source and structure relevant data for agentic and AI-enabled workflows
  • Communicate technical constraints and trade-offs clearly to non-technical stakeholders across Revenue Operations and GTM leadership
  • Establish and champion governance and compliance standards to AI workflows, including access controls, audit trails, and human-in-the-loop escalation path, setting the bar for responsible use of sensitive customer and business data.

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 4.6, Gemini 3 Pro).

What Makes You a Great Fit / Requirements:

  • 5+ years of software engineering experience, including backend development and systems integration work
  • Strong proficiency in Python (preferred) or Javascript/Node.js
  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and orchestration libraries (LangChain, LlamaIndex, Anthropic MCP, Semantic Kernel, etc.)
  • Comfortable building internal APIs, microservices, or serverless systems (GCP Cloud Functions, Cloud Run, AWS Lambda, or similar)
  • Familiarity with SQL and data warehouses (BigQuery preferred)—you understand how to query, structure, and pipeline data for AI workflows
  • Experience with authentication patterns, secure API handling, rate limiting, and workflow automation
  • Proven ability to deliver AI-powered features in production environments—you've shipped tools that real users depend on
  • Strong problem selector who can identify high-leverage initiatives and push back on low-impact requests
  • Thrives in ambiguous, fast-moving projects; able to balance experimentation with engineering rigor
  • Clear technical communicator—you can explain complex systems in simple terms and collaborate effectively with product and data stakeholders
  • Comfort with autonomy—you identify the right questions, structure unstructured problems, and drive work independently

Bonus Points For:

  • Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
  • Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement 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, 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
  • Familiarity with or exposure to graph databases and their use in RAG systems (Neo4J, Memgraph, Puppygraph)

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 154,445  -  USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

 

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

  • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication – Expect open decision-making and regular company-wide updates.
  • Innovation-Driven – Autonomy and support to ship great work and try new things.
  • Open Source Roots – Built on community-driven values that shape how we work.
  • Empowered Teams – High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways – Defined opportunities to grow and develop your career.
  • Approachable Leadership – Transparent execs who are involved, visible, and human.
  • Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. 
  • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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