GTM Engineer, Hazel AI

Altruist•San Francisco, CA

6h•$200,000 - $225,000•Hybrid

About The Position

Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients. We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you! About Hazel Hazel is building the AI engine for wealth management that helps unlock 10x growth, efficiency and value for financial advisors and their clients in a regulated industry. Since its launch last September, Hazel has organically and rapidly grown its user base. Hazel is a part of Altruist’s broader mission to make financial advice better, more affordable, and accessible to all. The opportunity Architect the commercial infrastructure for Hazel. You’ll sit at the intersection of sales, marketing, product, and data, turning GTM strategy into automated systems that generate pipeline, accelerate deals, and surface the insights that drive our business strategy. As one of the first GTM Engineers at Hazel, you’ll build foundational systems that will power our growth for years. If you love writing code as much as you love closing revenue loops — and you want to do it inside one of the most exciting AI companies in fintech — this is the role for you.

Requirements

2-4 years of experience in Product/GTM Engineering at a high-growth SaaS or fintech company.
Demonstrated ability to write production-quality code in Python, TypeScript or Javascript to build integrations, automation workflows, and data pipelines.
Have built or prototyped AI-powered workflows using LLM APIs, Claude Code and/or OpenClaw.
Hands-on experience with CRM platforms (HubSpot or Salesforce), marketing automation, and sales engagement tools (Outreach, Salesloft, Apollo, or similar).
Strong SQL skills and comfort working with data warehouses (Snowflake, BigQuery, or Databricks) to build revenue dashboards and funnel analytics.
Experience with data enrichment and orchestration tools (Clay, Clearbit, ZoomInfo, or similar) to build intelligent lead flows.
A systems-thinker who can design scalable GTM architecture, not just patch point solutions.
Strong cross-functional communication skills – you’ll translate between business stakeholders and technical systems regularly.
Comfort with ambiguity and early-stage pace – you move fast, prioritize ruthlessly, and iterate on the fly.

Nice To Haves

Experience building GTM systems for AI-native products, where the sales motion and buyer education are non-standard.
Experience with LLM APIs (OpenAI, Anthropic, or similar) to build AI-powered GTM workflows – lead qualification agents, email personalization, call summarization, etc.
Background in data engineering or analytics engineering (dbt, Fivetran, Segment, or similar).
Prior experience at an early-stage startup where you were the first or one of the first technical hires on the GTM side.

Responsibilities

Design, build, and own Hazel’s GTM tech stack – including CRM (HubSpot/Salesforce), marketing automation, data enrichment, and outbound sequencing tools.
Build automated workflows and AI-powered systems to support lead scoring, lifecycle marketing, outbound prospecting, and account-based motion.
Write Python and/or JavaScript to connect data sources, automate enrichment pipelines, and extend CRM capabilities through APIs and custom integrations.
Instrument the full funnel – from top-of-funnel awareness through activation and expansion – to surface actionable insights and revenue attribution to GTM leadership.
Partner with Sales, Marketing, and Product to translate business needs into scalable technical solutions; own delivery end-to-end.
Build and maintain a clean, reliable data foundation in our revenue data warehouse, enabling accurate forecasting and pipeline analytics.
Evaluate and implement AI tools (e.g., Clay, Apollo, Instantly, and emerging LLM-based GTM tools) to amplify rep productivity and pipeline quality.
Reduce manual ops overhead by automating repetitive GTM tasks so the team can focus on high-leverage activities.
Willingness and comfort serving as technical support for AEs on sales calls.

Benefits

A hybrid work schedule for most positions to promote strong, in-person collaboration.
Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
Competitive pay and equity for eligible positions.
Premium healthcare, dental, and vision insurance plans (HMO and PPO).
401k savings plan with a 4% match and immediate vesting.
16 week paid parental leave.
Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles.