Staff Software Engineer

About the role

This position sits within the GTM Systems team, acting as a technical bridge between Revenue Operations and internal software engineering. You will architect integrations across the go-to-market stack while building internal tools to consolidate workflows and reduce reliance on third-party SaaS products.

Key facts

What you'll do

• Architect end-to-end integrations connecting Salesforce, Snowflake, BigQuery, Slack, Grafana, and billing systems.
• Design and deploy internal applications to replace commercial SaaS point-solutions.
• Define API standards and integration patterns across the GTM stack.
• Lead incident response and root-cause analysis for integration failures.
• Establish internal development practices including CI/CD, documentation, and code standards.
• Incorporate AI and LLM capabilities to automate repetitive operations and accelerate tool development.
• Partner with Revenue Operations and Finance to translate business needs into scalable technical solutions.
• Set technical direction for data modeling and source-of-truth ownership.

Requirements

• 8+ years of software engineering experience with a focus on systems integration or internal platform development.
• Expert-level Python proficiency for production code.
• Hands-on experience with Salesforce data models and APIs.
• Experience with cloud data warehouses like Snowflake or BigQuery.
• Background in integrating billing or finance systems such as Stripe, NetSuite, or Zuora.
• Understanding of event-driven architectures, ETL/ELT patterns, and API design.
• Ability to communicate technical tradeoffs to non-technical stakeholders.

Nice to have

• Frontend development skills using React or Slack Block Kit.
• Experience with vector databases like Pinecone, Weaviate, ChromaDB, or pgvector.
• Familiarity with workflow automation tools such as n8n, Workato, Prefect, or Clay.
• Knowledge of Model Context Protocol or AI observability tools like LangSmith.
• Background in Revenue Operations, GTM Analytics, or Sales Operations.
• Experience in open source or developer-focused SaaS companies.

Skills & tools

• Python, Salesforce, Snowflake, BigQuery, Slack, Stripe, NetSuite, Zuora, React, n8n, Workato, Prefect, Pinecone, Weaviate, ChromaDB, pgvector, LangSmith, Weights & Biases.

Practical notes

• Base compensation range: $174,986 to $209,983.
• All roles include Restricted Stock Units (RSUs).
• Company provides a budget for AI coding assistants and access to frontier models including GPT-Codex, Claude Opus, and Gemini Pro.
• Global annual leave policy of 30 days per year, including 3 company-wide shutdown days.
• Applicants must be based in United States time zones.