Software Engineer
The Opportunity
We are seeking a Staff Integrations Engineer to join our GTM Tools & Technology team. This role is a hybrid position combining elements of Revenue Operations and internal software engineering. The ideal candidate will architect and deliver integrations across our go-to-market stack, build internal tools to reduce SaaS spend, and lead technical initiatives within GTM Systems.
Own the architecture and delivery of 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.
What You'll Be Doing
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.
Who You Are
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 JavaScript.
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.
What We Offer
Compensation & Rewards
In the United States, the base compensation range for this role is $174,986 - $209,983.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.
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.
Company Culture
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.