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Novita AI

Solutions Engineer (AI Cloud Infrastructure)

Sorry, this job was removed at 03:25 a.m. (PST) on Thursday, Jun 25, 2026
In-Office
San Mateo, Rizal, Calabarzon
In-Office
San Mateo, Rizal, Calabarzon

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About Us:

We are a high-growth, global AI cloud infrastructure provider at the forefront of the artificial intelligence revolution. Our cutting-edge platform offers developers and enterprises powerful, scalable, and easy-to-use solutions, including Model APIs, GPU Instances, and Serverless Computing. As businesses worldwide race to integrate AI into their products, we provide the foundational engine to power their innovation.

We are building a world-class team to serve a rapidly expanding customer base. This is a unique opportunity to join a dynamic company in a hyper-growth market, where your technical expertise will directly shape customer success and drive our business forward.

The Role:

As a Solutions Engineer, you will be the primary technical leader and trusted advisor for our customers throughout their journey. You will partner closely with the sales team to bridge the gap between complex customer challenges and our technical solutions. Your mission is to establish technical credibility, showcase the power of our platform, and architect solutions that ensure our customers achieve their AI-driven business goals.

What You'll Do:

  • Technical Discovery & Solution Design: Partner with Account Executives to deeply understand customer needs, technical requirements, and business objectives. Architect elegant and effective solutions leveraging our AI infra stack (Model APIs, GPU Instances, Serverless).

  • Product Demonstration & Proof of Concept (POC): Lead compelling, customized product demonstrations and hands-on workshops. Design, manage, and execute successful POCs, proving the value and performance of our platform in the customer's environment.

  • Technical Evangelism & Trusted Advisory: Articulate the value proposition of our platform to both technical and non-technical audiences, from engineers to C-level executives. Become the go-to expert for customers on AI infrastructure best practices.

  • Sales Enablement & Market Feedback Loop: Create and maintain technical sales collateral, including whitepapers, best practice guides, and demo scripts. Act as the voice of the customer, channeling critical feedback from the field to our Product and Engineering teams to influence the product roadmap.

  • Onboarding & Implementation Guidance: Ensure a smooth post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for long-term success.

Who You Are:

  • Experienced Technologist: 5+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, or Customer Engineer, preferably within a public cloud, SaaS, or AI/ML company.

  • Cloud & AI Native: Strong hands-on experience with public cloud platforms (AWS, GCP, Azure). Solid understanding of the AI/ML landscape, including concepts like LLMs, deep learning frameworks (TensorFlow, PyTorch), and the GPU computing stack.

  • Problem Solver & Builder: You have a passion for solving complex technical problems and a proven ability to build and deploy applications. Proficiency in a programming language like Python or Go is highly desirable.

  • Exceptional Communicator: You can translate complex technical concepts into clear, concise, and compelling value propositions for diverse audiences.

  • Customer-Obsessed & Commercially-Minded: You possess a strong sense of empathy for the customer and are driven to ensure their success. You understand the sales process and are motivated to help the team win deals.

  • Self-Starter: You are proactive, resourceful, and thrive in a fast-paced, dynamic startup environment.

Why Join Us?

  • Be at the Frontline of AI Adoption: Work directly with fast-growing AI startups and enterprises to design, scale, and optimize their most critical AI workloads. Your technical expertise will directly influence customer success and revenue growth.

  • Shape the Go-to-Market Strategy: You won’t just support deals — you’ll influence how we engage customers, craft solutions, and feed insights back into the product. Your work will help define how we compete and win in a rapidly expanding market.

  • Cutting-Edge Technology, Real Customer Impact: From serving billions of tokens daily to deploying on state-of-the-art GPU clusters, you’ll be hands-on with the latest AI models and infrastructure. The solutions you design will empower developers to ship faster, cheaper, and at scale.

  • Career Growth in a Hybrid Role: This position blends technical depth with sales influence, giving you a unique career trajectory across solutions engineering, enterprise sales, and product strategy. You’ll build lasting relationships with top AI teams while developing rare expertise in inference and cloud infrastructure.

  • Competitive Benefits

    • Competitive pay package

    • 100% employer-covered premium medical, dental, and vision insurance

    • 401(k) plan

    • Free lunches in the office

HQ

Novita AI San Francisco, California, USA Office

156 2nd, San Francisco, California, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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