Founding Solutions Architect

Data Science problems are everywhere, but the talent is not. At Zams, our vision is to turn every company into an AI company. We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. On the back end, we empower data scientists with a set of internal groundbreaking tools to help them deliver results in minutes, not months. 

We're a small, scrappy group of people with a strong bent toward failing fast, bias for action and attention to detail. We're focused on doing the best work of our lives and believe in having a healthy separation of work and play. We keep working hours flexible and are building a hybrid team with most of us located in San Francisco, CA and others working remotely around the world. 

Zams is backed by some of the top venture capital firms in the US, and you'll be on the ground floor of a fast-growing company with a big mission.

About You

As a Founding Solutions Architect at Zams, you will be pivotal in guiding customers through their AI journey. Your role will involve managing AI projects, understanding customer needs, and ensuring seamless delivery of our services.

Here are some of the qualities we look for in a perfect hire{​{:}

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• Extremely high ownership → Thinks like an owner, not an employee. Sees problems and acts without waiting for directio
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• Bias to Action → Doesn't overanalyze, just gets going. Moves fast, learns faste
r
• Extreme Accountability → "I've got this"  even if it's outside their lan
e
• Resilient → Bounces back from tough customers, product bugs, or shifting prioritie
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• Solid understanding of artificial intelligence and machine learning principles, including model building, testing, and deploymen
t
• Excellent verbal and written communication skills to understand and articulate customer needs and convey complex technical concepts in an accessible manne
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• Experience working with diverse teams, including data scientists, sales, and product developmen
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• Ability to build and maintain strong relationships with customers, fostering trust and ensuring satisfaction throughout the project lifecycl
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Responsibilities{​{:

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• } Conduct customer onboarding, set clear expectations, establish timelines, and maintain regular check-ins to achieve customer goals--> but are able to be flexible throughout the entire proces
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• Structured Thinker → Can untangle chaos and give a clear pl
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• n Strong Communicator → Can talk to customers, sales, and engineering and get all of them align
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• d Process Hacker → Aims to move quickly and help the customer understand that things will get done fa
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• t Technical Communicator → Doesn't shy away from APIs, workflows, LLM prompts, or data pipelin
e
• s Ability to operate without clear instruction → Doesn't need docs or templates to get started, you can take initiative to write th
e
• m Customer perspective → Thinks about and delivers iterations in a way that keeps in mind what the end user thinks and kno
w
• s Makes the customer feel like they're in great han
d
• s Long-Term Aligned → Sees the early grind as a privilege, not a burd
e

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• s 2-6 years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Customer Success Engineer, focusing on AI/ML or data-driven projec
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• s Ability to work out of our San Francisco office 5 days a we
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• k Proven track record of owning projects from inception to completion, including scoping, planning, and testi
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• g Experience working directly with customers to understand their needs and translate them into technical requiremen
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• s Proficiency in how APIs wo
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• k Understanding of Machine Learning and AI technologies; up to date with recent AI trend
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• Flexible and adaptable, thriving in a fast-paced, dynamic environme
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• s Health Care Pl
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• n Paid Time Off (Vacation, Sick & Public Holiday
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• ) Work Equipme
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• t Stock Option Pl
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• n Training & Developme