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🏢 Flai · 📍 San Francisco · 💼 onsite · ⏰ FullTime

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Position Summary & Responsibilities

Location: San Francisco, CA

Type: Full-Time

Work Arrangement: In-person 5 days a week at our SF office

About Flai

AI has transformed B2B SaaS, but has struggled to penetrate the real-world industries that shape our lives. Flai is building the leading AI-native communications platform for car dealerships.

A $1.3 trillion industry, auto dealerships sell 96% of the 16 million new cars sold each year. Yet they universally run on outdated systems and manual processes, which is why dealerships spend $36B each year on operations. That's our opportunity.

We launched our first voice AI product a year ago. Since then, we have deployed multiple products across hundreds of dealerships across the U.S. We've partnered with the 2nd largest automaker in the country and many of the leading dealership groups. We've raised funding from leading VCs including First Round Capital, Toyota Ventures, Y Combinator, Innovation Endeavors, SV Angel, and Liquid 2.

We've grown insanely quickly with a small, scrappy team and continue to move at that pace.

The Opportunity

Every great company is built by great people, and right now we're hiring them fast. You'll partner with our founding recruiter and the founders to find, win, and close the people who will shape what Flai becomes across sales, customer success, marketing, and operations.

This isn't your typical tech recruiting seat. Some of our best hires come straight out of dealerships and dealer-tech, so posting a job and waiting won't find them. Tracking them down takes creativity, and bringing them over takes real selling.

If you love the chase, want your fingerprints on a recruiting function from the early days, and get a rush from watching your hires win, this is your seat.

Who You Are

You Love the Hunt: The candidate nobody else found is the one you want.
You Can Sell: You tell the Flai story in a way that gets busy

🎯 Candidate Preparation Guide For Flai Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating advanced AI/ML capabilities, spatial data processing expertise, and the ability to turn complex computer vision into enterprise value.

📋 Preparation Priorities (Key Areas to Clarify):

1. Academic over-indexing on theoretical model architecture without considering real-world inference costs and latency.
2. Inability to explain complex AI outputs in simple terms to non-technical enterprise stakeholders.
3. Lack of hands-on experience handling messy, real-world sensor data.

✨ Recommended Role Alignment Hook:

I specialize in turning messy, real-world spatial data into high-performance, production-ready computer vision pipelines that enterprises can actually rely on.

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