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