Business Operations

🏢 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 Yet they universally run on outdated systems and manual processes, which is why dealerships spend $36B each year on operations.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

Work closely with the founders and our team to help run and improve Flai's business operations.

You'll take responsibility for important projects and day-to-day work across people operations, finance, and legal coordination. You'll solve unfamiliar problems, improve how things get done, and work with our accounting, legal, and payroll partners to keep things moving.

This is a hands-on role with broad exposure to how a growing startup operates. As you learn the business and deliver results, you'll have opportunities to take on more complex projects and greater responsibility.

Who You Are

You Figure Things Out: You can take an unfamiliar, loosely defined problem and turn it into a clear plan.
You Follow Through: You catch details and finish what you start without repeated reminder

🎯 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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