Job details

Founding Solutions Architect - Consulting Background Preferred

Get a free resume review

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:

Extremely high ownership → Thinks like an owner, not an employee. Sees problems and acts without waiting for direction.
Bias to Action → Doesn’t overanalyze, just gets going. Moves fast, learns faster.
Extreme Accountability → “I’ve got this” even if it’s outside their lane.
Resilient → Bounces back from tough customers, product bugs, or shifting priorities
Solid understanding of artificial intelligence and machine learning principles, including model building, testing, and deployment.
Excellent verbal and written communication skills to understand and articulate customer needs and convey complex technical concepts in an accessible manner.
Experience working with diverse teams, including data scientists, sales, and product development.
Ability to build and maintain strong relationships with customers, fostering trust and ensuring satisfaction throughout the project lifecycle.

Responsibilities:

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 process
Structured Thinker → Can untangle chaos and give a clear plan.
Strong Communicator → Can talk to customers, sales, and engineering and get all of them aligned
Process Hacker → Aims to move quickly and help the customer understand that things will get done fast
Technical Communicator → Doesn’t shy away from APIs, workflows, LLM prompts, or data pipelines.
Ability to operate without clear instruction → Doesn’t need docs or templates to get started, you can take initiative to write them.
Customer perspective → Thinks about and delivers iterations in a way that keeps in mind what the end user thinks and knows
Makes the customer feel like they're in great hands.
Long-Term Aligned → Sees the early grind as a privilege, not a burden.

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 projects.
Ability to work out of our San Francisco office 5 days a week
Proven track record of owning projects from inception to completion, including scoping, planning, and testing.
Experience working directly with customers to understand their needs and translate them into technical requirements.
Proficiency in how APIs work
Understanding of Machine Learning and AI technologies; up to date with recent AI trends
Flexible and adaptable, thriving in a fast-paced, dynamic environment.

Health Care Plan
Paid Time Off (Vacation, Sick & Public Holidays)
Work Equipment
Stock Option Plan
Training & Development

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Founding Solutions Architect - Consulting Background Preferred, Zams

Are you passionate about artificial intelligence and ready to help businesses realize their full potential? At Zams, we are looking for a Founding Solutions Architect with a consulting background to join our dynamic team. Imagine being part of a groundbreaking company that’s revolutionizing access to data science talent, helping various organizations turn into AI powerhouses. In this pivotal role, you'll be guiding clients through their AI journeys—managing projects, understanding their unique needs, and ensuring our services are delivered seamlessly. We're a small and agile team based mostly out of San Francisco, CA, but we're also open to remote work, making our working hours flexible to promote a healthy work-life balance. We're all about failing fast, taking action, and maintaining a culture where we can do the best work of our lives. Your ownership mindset and drive to move quickly will be greatly valued as you tackle challenges related to AI and machine learning. With your impressive communication skills, you will help foster strong relationships with customers, ensuring their satisfaction and trust throughout the entire project lifecycle. As a Founding Solutions Architect at Zams, you have the opportunity to take part in something special—building a company that makes a real impact in the world of AI. Join us! Let’s change the future together.

Frequently Asked Questions (FAQs) for Founding Solutions Architect - Consulting Background Preferred Role at Zams

What responsibilities does a Founding Solutions Architect at Zams have?

As a Founding Solutions Architect at Zams, your primary responsibilities include conducting customer onboarding, setting expectations, establishing timelines, and maintaining regular check-ins throughout the project lifecycle. You will engage deeply with customers, ensuring their needs are understood and met while facilitating smooth communications with diverse teams. You may also be tasked with untangling complex problems, conceptualizing clear plans, and deploying AI solutions effectively.