Forward Deployed Engineer

About Hazel ---------------

Hazel is the AI coworker for consumer brands. We connect to a brand's live data — Shopify, Klaviyo, Amazon, Meta, and dozens of others — and turn it into a teammate operators talk to every day. Ask "why did repeat purchase rate drop last week?" and 30 seconds later you get an answer, cited from live data.

Hazel also takes action herself, proactively flagging issues and making changes directly in Shopify and the other systems she connects to, on the way to running full playbooks autonomously.

We’ve raised more than $2M, are rapidly scaling and serving some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin.

What you'll do ------------------

You’ll implement Hazel’s AI into the most successful brands in the world. Your responsibility is to ensure our customers succeed and get the most out of Hazel, and AI in general. You are on the front lines, and will need to turn customer requests into scoped product features for our engineering team.

You will also develop internal tools to help us diagnose issues, build alerts, and evaluate Hazel’s performance.

Beyond that:

• Visit customers in person, sit with their team, learn the business, connect their systems, and ensure Hazel is a key part of their daily workflows
• Own the relationship after go-live. You're the person they Slack when a number looks wrong, and the person who figures out whether it's the data, the product, or a misunderstanding about how they define the metric.
• Learn a brand’s metrics, jargon, and tribal knowledge quickly, and then help them teach it to Hazel.
• Build the enablement layer to scale your work. Course content, onboarding curriculum, and training materials that teach a brand's team how to work with an AI coworker.
• Turn what you see onsite into product feature requests for our engineering team.

You'll work directly with our founders, and you'll be educating VPs and operators at household name brands.

Who we're looking for -------------------------

• 2–5 years of experience
• Extremely fast learners who can code switch between stakeholders.
• Ability to teach people from any background or experience, as well as in front of groups of 100+
• Comfortable with data as a user. You can spot a number that’s wrong and diagnose what’s going on.
• You’re a people person first, but you can also lead technical discussions.
• AI-pilled. You should be using AI daily in your current role or personal life.
• Willing to travel. Our largest customers will require time onsite.
• Nice to have: e-commerce/DTC or retail experience; comfort writing SQL.

You might be coming from:

• Consulting — implementation, technology, or digital transformation at a Big 4 or comparable firm
• A brand — you ran e-commerce, retention, merchandising, or analytics in-house
• AI enablement inside a brand — you drove AI adoption at a retailer or consumer company.

Comp & benefits --------------------

• $115–145K base
• 0.05–0.2% equity
• Top-tier health, dental, vision
• 401(k)
• Unlimited PTO
• Hybrid in NYC, plus customer travel

How we hire ---------------

• 15-min intro
• Founder call
• Case study
• Onsite

Compensation Range: $115K - $145K