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GTM Engineer, Hazel AI

Altruist

San Francisco, CA Remote permanent

Posted: March 2, 2026

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Quick Summary

A talented GTM Engineer is required to join our team to build and deploy innovative AI solutions for Altruist's wealth management platform.

Job Description

About Altruist

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!

But first, our values

Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.

Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.

Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.

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.

What you'll do

• 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.

What you'll bring

• 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.

Bonus points

• 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.

Leveling & compensation

This role has a target compensation range of $200,000-$225,000. Final level and compensation is individualized and will be determined based on overall experience, qualifications, and interview performance.

What we bring

Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.

• 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. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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