Cake (cake.ai) Logo

Cake (cake.ai)

Principal Solutions Architect

Posted 7 Days Ago
Remote
220K-240K
Expert/Leader
Remote
220K-240K
Expert/Leader
The Principal Solutions Architect drives customer success and satisfaction while leveraging technical expertise in AI and MLOps for customer implementations.
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About the Company

Cake is on a mission to make cutting-edge AI accessible to every business. Cake removes complexity and cost barriers, empowering businesses to adopt AI/ML faster and more easily.

Cake solves the entire AI infrastructure problem for customers 10x faster and 10x cheaper than alternatives. The platform has 4-layers: compute infrastructure management, open-source components, common integrations, and pre-built project components. Built-in security and monitoring ensure a smooth path to production. This pitch is resonating extremely well in the mid-market already and we are poised to grow quickly over the next 12 months.

Backed by top investors, Cake is a dynamic team of forward-thinking technologists. We're passionate about breaking down barriers and making cutting-edge AI accessible to the tens of thousands of businesses who are interested but bottlenecked on engineering talent. 

Intensity, humility, and collaboration are the cornerstones of Cake culture, fostering an environment where we constantly learn from each other and push the boundaries of what's possible at an incredibly fast pace.

Cake is currently looking for a Principal Solutions Engineer who will be instrumental in driving outstanding customer outcomes, both during initial proof-of-concept implementations and ongoing subscriptions. If you’re a talented solution engineer excited about changing the future of AI, we’d love to hear from you.

What You’ll Do

  • Drive exceptional customer success as reflected in high POC conversion rates, renewal rates, and customer satisfaction scores
  • Leverage deep technical expertise to support customers and troubleshoot complex issues
  • Develop and expand a robust customer knowledge base to answer common questions, significantly reducing onboarding time for new customers.
  • Work with the product team to prioritize the roadmap based on real customer feedback
  • Communicate findings to stakeholders in a clear and concise way

Requirements

  • 10+ years of experience in data science, machine learning, or engineering
  • Strong grasp of the full MLOps lifecycle, including data engineering, training/evaluation, serving, and monitoring
  • Experience with cloud platforms (AWS, GCP, Azure) and ideally Kubernetes
  • Strong programming skills in Python
  • Proven ability to manage multiple projects and customers simultaneously
  • Experience working with both technical and non-technical stakeholders 
  • Excellent communication, collaboration, and customer relationship management skills
  • Cake is a NYC-based company. Remote and hybrid working styles are also available.

Benefits

  • Cash compensation between $220,000-$240,000 alongside above-market equity upside
  • Top-tier fully covered medical, dental, and vision insurance
  • Life insurance
  • 401k program

Additional Perks

  • Unlimited PTO
  • Monthly half day
  • Citi Bike membership
  • Monthly wellness stipend
  • Office equipment stipend, including reimbursement for approved disability-related accommodations
  • Investment in employee learning and growth opportunities

Cake is committed to providing equal employment opportunities to all employees and job seekers regardless of race, color, religion, national origin, sexual orientation, gender, gender identity, marital status, disability, veteran status, or any other legally protected category. As an equal opportunities employer, we value diversity and its positive impact on our culture. 

Cake also complies with the Americans with Disabilities Act (ADA). We are dedicated to working with and providing reasonable accommodation to job applicants with physical or mental disabilities. If you require accommodation, please email us at [email protected] and we will promptly address your request. 

Top Skills

AWS
Azure
GCP
Kubernetes
Mlops
Python

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