---
title: "Careers at Snezzi | Build the Future of AI Search"
canonical: https://snezzi.com/careers/
source: https://snezzi.com/careers/
---

> Canonical page: https://snezzi.com/careers/

Snezzi / Company / Careers

Careers at Snezzi

# Build the product layer for a changing discovery market

Help teams understand where customer consideration forms inside AI answers, improve the evidence behind it and turn an emerging channel into dependable work.

[See open roles](#open-roles) [Learn about Snezzi](/about/)

The AI-search operating loop

## Buyer questions

What customers ask AI

## Evidence

Brands and sources selected

## Priorities

What should change next

## Performance

Visibility, search and referrals

Working at Snezzi

## Small teams, connected work and clear ownership

We are building in a new category where product truth, customer context and technical judgment need to stay close.

### The problem is still being defined

AI systems increasingly influence which companies customers discover and consider, but the measurement and operating practices around that shift are still young. We are building the product layer that helps teams observe those buying conversations and decide what evidence to improve.

That means product, engineering, design, growth and customer work happen close together. People joining Snezzi should be comfortable testing assumptions, inspecting real evidence and changing direction when the product or market teaches us something new.

### Agents increase leverage, not accountability

We use agents throughout research, analysis and execution. Consequential product, strategy and publishing decisions still need clear ownership and review.

The work suits people who can move between systems thinking and details: understand the customer outcome, make the mechanism reliable and leave behind an operating pattern another person or agent can follow.

How we work

## Principles for building in an uncertain category

These principles shape product decisions, collaboration and the way we use agents.

### Move with evidence

Ship focused work, observe what happens and improve it from real customer and product signals.

### Think in systems

Solve the recurring workflow and information problem, not only the visible task in front of you.

### Own the outcome

Make responsibilities explicit and follow work through to the customer or product result it was meant to change.

### Stay intellectually honest

Separate what we know, what we infer and what still needs verification—especially in a fast-moving category.

Open roles

## Current opportunities at Snezzi

The embedded job board is the source of truth for active roles, locations and application requirements.

[Open the job board in a new tab](https://app.dover.com/jobs/snezzi)