About the Company

Our client is an AI platform building autonomous AI Receptionists and Agents that handle calls, book appointments, nurture leads, and drive revenue for small and medium-sized businesses — 24/7, across every channel. Founded in 2023 by a repeat founder whose prior AI company reached 50M+ users across 200 countries, the company is backed by world-class investors and has deployed 15,000 AI agents across 10,000 businesses.

Fresh off a $25M Series A, our client doubled revenue in the final two months of 2025 and is scaling aggressively toward 1 million AI agents deployed.

The Mission

Replace manual, expensive, inconsistent customer communication with autonomous AI that generates real revenue for SMBs. Our client's platform lets any business deploy a fully configured AI receptionist in 3 minutes — no coding required — with sub-second latency, 99.99% uptime, 200+ integrations, and omnichannel coverage across phone, SMS, email, web chat, WhatsApp, Instagram, TikTok, and more.

The Opportunity

Our client is building a Solutions Architect team to own the full deployment of AI agents across partners and customers in North America and EMEA. You'll be joining a team at a pivotal moment — well-funded, growing fast, and building the infrastructure that thousands of SMBs run their businesses on.

Our client is hiring 3-5 Solutions Architects for immediate start. If you're an exceptional early-career technologist from a top program who thrives on ownership, customer impact, and building production AI systems, we want to hear from you.

What You'll Do

Understand partner and customer business needs and translate them into technical specifications and deployment plans
Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems)
Own implementations end-to-end — from kickoff through go-live — managing stakeholders and driving projects to completion
Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight
Identify and mitigate technical risks throughout the implementation lifecycle
Contribute to building scalable deployment practices as the team grows

What You Bring

Bachelor's degree in Computer Science
Hands-on experience developing in Python or JavaScript, with fluency in AI technologies including prompt engineering
Experience integrating APIs (REST, webhooks, OAuth)
Demonstrated customer-facing experience (consulting, project management, client delivery, or entrepreneurial)
Strong systems integration skills and ability to work across diverse tech stacks
Business process analysis skills — you understand how companies make money and can connect technical solutions to business outcomes
Bonus: experience with CRM/PMS systems, SaaS platforms, or the AI industry

Ideal backgrounds include:

Tier 1 CS program + top consulting firm with technical implementation work
Tier 1 tech company with a customer-facing component
Software engineering + entrepreneurial experience in a customer-facing business

Key Success Drivers

Technical curiosity: You pick up new skills fast, can own complex implementations independently, and stay current on AI
Customer ownership: You manage expectations, drive delivery, and don't let problems sit — you hold on until it's solved
Business intuition: You can break a business problem into technical pieces and tie the work back to real outcomes
Ownership mentality: You make things happen without being told twice and pull in the right people when needed

Why Join?

Compensation: $125,000–$150,000 base salary (W-2) + 20% annual bonus + equity
Benefits: Comprehensive health, dental, and vision insurance plans
PTO: Unlimited Paid Time Off
Remote: Fully distributed team, any US location welcome
Impact: 10,000+ businesses on the platform — your work directly shapes a product at scale
Momentum: $32M raised, revenue doubling, Series A just closed — early enough for real equity upside, funded enough for stability
Stack: Groq, Llama, Gemini, OpenAI, and proprietary Zero-Hallucination architecture — production AI on real calls, at scale

Interviewing Process

HR Screen
Case Study (business case assessment)
Technical Interview (coding ability, AI/prompt engineering, learning agility)
Final Deep Dive with VP of Product (ownership, customer focus, and leadership)
Reference Checks & Offer

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

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