🛠 Tech Stack

💼 About This Role

You'll be the first technical hire on Hazel's revenue team, building the AI-powered GTM stack from scratch. You'll design and implement revenue data infrastructure and LLM-driven workflows to amplify sales team output. This role offers the chance to architect a 0-to-1 system inside a fast-growing fintech AI company.

🎯 What You'll Do

• Design and build Hazel's full revenue tech stack (CRM, marketing automation, enrichment, sequencing, attribution).
• Deploy LLM-powered workflows for lead qualification, outbound personalization, and rep productivity.
• Build and manage the revenue data warehouse using Snowflake for GTM data.
• Design lead routing, lifecycle stages, SLAs, and handoff logic between marketing, SDRs and AEs.

📋 Requirements

• 8+ years in Revenue Operations, GTM Engineering, or Sales Operations.
• Proven track record amplifying a sales team's output by architecting GTM systems.
• Strong technical fluency with APIs, Webhooks, SQL, and a revenue data warehouse (Snowflake, BigQuery, Databricks).
• Experience designing and deploying AI-powered GTM workflows via LLM APIs or tools like Clay.

✨ Nice to Have

• Experience scaling GTM at a company selling AI-native or technically complex products.
• Background in analytics engineering (dbt, Fivetran, Segment) or data infrastructure.
• Familiarity with LLM APIs (Anthropic, OpenAI) used to build GTM workflows.

🎁 Benefits & Perks

• 🏖️ Hybrid work schedule with four in-office days per week.
• 🏢 Stunning office spaces in Culver City, San Francisco, and Dallas.
• 💰 Competitive pay and equity for eligible positions.
• 🏥 Premium healthcare, dental, and other benefits.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Assessment· 60 min
4. 4Onsite Interview (4 sessions)· 4 hours
5. 5Offer· 30 min