---
title: 'AI Engineer at Vooma'
canonical: 'https://feeny.ai/job/ai-engineer-vooma-san-francisco-xj667jgg3xvp'
type: 'job'
last_seen: '2026-09-08'
---

# AI Engineer at Vooma

- **Company:** Vooma
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-04-20
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/vooma/5396e567-964c-46f7-b798-f41688e6c220

## Job description

## ABOUT VOOMA

Enterprise software is in the midst of a revolution. The world is shifting from "systems of record" to "systems of automation" - LLM powered agents and orchestrators that perform complex business tasks on behalf of and in concert with humans, with increasing levels of autonomy.

Vooma's mission is to build the AI orchestration platform for America's $800+ BN trucking industry. Everything we touch in the physical world is moved on a truck - it's the backbone of the US economy. Yet logistics today is still extremely manual, which makes it one of the hungriest industries for the shift toward AI Agents.

At Vooma, the products you'll build will help shippers, freight brokers, and trucking companies win more business and seamlessly execute freight. Our AI agents operate across voice, email, sms (and more) to automate critical workflows across the load lifecycle.

Vooma is backed by top-tier investors including Index Ventures, Craft Ventures, Y-Combinator, and CEOs, founders and executives from the logistics industry.

## ABOUT THE ROLE

Your role, should you choose to join us, will be an AI Engineer on our founding team.

You're the right person for this role if you're excited to work at the frontier of applied AI, training and iterating advanced models that work in the real world. You’re driven by turning cutting-edge capabilities into reliable, high-performance systems that deliver highly scaled impact.

You're a great fit if you're known for going deep on model behavior and building systems that continuously improve through well-designed data flywheels. You find energy in shipping fast, learning from real usage, and iterating toward systems that feel almost magical in their effectiveness.

## YOUR RESPONSIBILITIES WILL INCLUDE:

- Training, fine-tuning, and deploying state-of-the-art multimodal models across a range of real-world tasks
- Designing and implementing evaluation frameworks to rigorously measure model performance and guide iteration
- Building and scaling data flywheels - collecting, curating, and generating high-quality datasets to continuously improve model outcomes
- Developing systems for live learning, feedback incorporation, and continuous model adaptation in production
- Implementing techniques like negative mining to harden models against edge cases and failure modes
- Owning the full lifecycle from experimentation → validation → deployment → monitoring
- Collaborating closely across engineering and product to integrate models into reliable, high-performance systems

## MUST HAVES:

- Hands-on experience working with modern foundation models (LLMs, multimodal models, or similar) in production settings
- Strong intuition for model behavior, evaluation, and failure modes
- Experience with fine-tuning, training pipelines, and dataset construction
- Familiarity with techniques like RLHF, synthetic data generation, or active learning (not required, but highly relevant)
- Comfort working across Python-based ML stacks and Typescript-based production systems
- A bias toward action - you run experiments, measure results, and iterate quickly
- The mindset of an owner: you care about outcomes, not just outputs, and push systems to actually work in the real world

## WHY YOU'LL LOVE WORKING HERE

- Rare opportunity to join a formidable team building an enduring company
- Direct impact - your work will be actively helping to food get on the table for millions of households
- Cutting-edge technology - work with the latest in agentic AI using modern stacks (Next.js, GraphQL, Node, OpenAI, Anthropic)
- Competitive compensation with significant equity upside potential
- Comprehensive benefits including medical, dental, and vision coverage
- In-person collaboration in San Francisco with a talented, experienced founding team

This role is based in person in San Francisco, CA (not remote).

## About Vooma

## Company Overview
- **One-liner**: Vooma provides an AI agent platform for logistics brokers and carriers that automates back-office workflows like quoting, load building, scheduling, covering, and tracking freight.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Mike Carter and Jesse Buckingham

## Core Business
- **Primary industries**: Logistics technology, freight brokerage, supply chain automation
- **Target customers**: B2B — 3PLs, freight brokers, freight forwarders, and carriers
- **Mission / purpose**: Help logistics companies win and move more freight by deploying AI agents that automate repetitive manual tasks, allowing teams to focus on service, speed, and scale.

## Products & Services
- **Vooma Platform (Quote to Cash)**: A unified AI agent platform that covers the entire freight lifecycle:
  - **Build**: Automatically extracts shipment details from emails, PDFs, and spreadsheets, incorporating tribal knowledge to build accurate loads in a TMS.
  - **Quote**: Reads incoming quote requests, connects to pricing engines/rate history, and helps respond to customers instantly.
  - **Cover**: Posts loads to DAT & Truckstop, fields inbound calls/emails, vets carriers, negotiates rates, and books freight.
  - **Schedule**: Emails, calls facilities, or logs into portals to secure optimal appointments.
  - **Track**: Monitors active shipments for issues and proactively contacts drivers via call, text, or email.
  - **Collect**: Monitors delivered shipments for missing documentation and follows up with carriers for PODs.
- **AI Workers**: AI agents that operate over voice, email, and text, logging into systems and performing tasks 24/7.

## Market Standing
- **Valuation / Funding**: Total funding of **$18.45M** across four rounds:
  - Pre-Seed (Apr 2023): $500K led by Y Combinator
  - Seed (Sep 2023): $125K
  - Seed (Dec 2023): $3.6M from 27 investors
  - Series A (Dec 2024): $14.2M led by **Craft Ventures**, with participation from Index Ventures, Y Combinator, and 25+ logistics founders/CEOs
- **Key Metric**: Annual Revenue — not publicly available (private company); notable customer metrics include:
  - 90%+ reduction in data errors
  - 65%+ improvement in email quote win rate
  - 2+ hours saved per day per rep
  - Load building reduced from 5 minutes to 15 seconds
- **Notable Investors / Partners**: Y Combinator (W23 batch), Craft Ventures, Index Ventures, and 25+ leading logistics founders/CEOs
- **Growth Signals**:
  - Team size: ~30 employees (as of late 2024)
  - Customers include Echo, MoLo, Arrive, Sunset, MODE, Evans, and many more
  - 20-30% of loads covered by voice agents for customers
  - 5x more freight quoted per rep per day

## Competitive Advantages
- **Deep domain expertise**: Founders combine AI/autonomy expertise (Mike — founding engineer at Kodiak Robotics, Uber ATG) with logistics industry experience (Jesse — grew a logistics software company from $2M to $20M+ ARR as CEO).
- **Proprietary approach**: Combines computer vision with large language models to handle the variety of file types (emails, PDFs, spreadsheets) that make traditional RPA ineffective in logistics.
- **Platform breadth**: Covers the entire quote-to-cash workflow, not just point solutions — eliminating the need for multiple tools.
- **Collective intelligence**: Learns the nuances of each customer’s SOPs, carriers, and facilities, turning tribal knowledge into automated processes.

## Strategic Focus
- **Scale the platform**: Deepen integrations with TMS, DAT, Truckstop, and other logistics systems.
- **Expand carrier side**: Growing the carrier-facing product to help carriers build and schedule loads and keep brokers updated.
- **Voice AI leadership**: Voice agents are a key differentiator — already handling 20-30% of load coverage for customers.
- **Vertical expansion**: Targeting more segments within logistics (freight forwarders, 3PLs).

## Why Work Here
- **Culture**: Values include “Bias to action” and “Tag, you’re it” — emphasizing ownership, speed, and collaboration.
- **Team composition**: A mix of technologists (founders from Stanford, Kodiak, Uber ATG) and operators (Bain, private equity-backed logistics). Talent sources include Bain, Flexport, Stanford, and YC.
- **Engineering culture**: Strong technical foundation — the CTO was a founding engineer at a $250M-funded autonomous trucking startup. Engineering team makes up ~31% of headcount.
- **Remote/Hybrid**: Based in San Francisco, CA with a presence in Palo Alto, CA. Some roles appear remote-friendly; specific policy varies by role.
- **Notable perks**: Early-stage equity, opportunity to work on AI agents in a $200B+ addressable market (60% of freight orders still come via email/text/PDF). The company is well-funded ($18.45M) by top-tier investors.
- **Recent departures**: Founding GTM Luke Walquist left in April 2026 — the team is actively rebuilding go-to-market leadership.

## Sources
1. [vooma.com](https://www.vooma.com/)
2. [vooma.com/about-us](https://www.vooma.com/about-us)
3. [jobs.ashbyhq.com/vooma](https://jobs.ashbyhq.com/vooma)
4. [ycombinator.com/companies/vooma](https://www.ycombinator.com/companies/vooma)
5. [linkedin.com/company/vooma-inc](https://www.linkedin.com/company/vooma-inc)
6. [freightwaves.com](https://www.freightwaves.com/news/vooma-grabs-16-6m-in-funding-as-brokers-prepare-for-market-swing)

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