At a Glance
- Tasks: Drive technical strategy for enterprise accounts and lead complex evaluations.
- Company: Join Modal, a rapidly growing tech company revolutionising AI infrastructure.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI infrastructure and work with top-tier companies.
- Qualifications: 5+ years in technical roles with expertise in cloud infrastructure and enterprise sales.
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi).
The Role: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you.
What You’ll Do:
- Own the technical strategy for large, complex enterprise accounts
- Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close
- Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders
- Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure
- Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability)
- Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance
- Navigate security reviews, compliance discussions, and procurement processes with confidence
- Build durable relationships with technical champions and executive sponsors
- Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption
- Influence Modal’s product roadmap by surfacing structured enterprise feedback
- Mentor other Solutions Architects and contribute to technical best practices across the team
Requirements:
- 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms
- Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred)
- Experience working with large, sophisticated Bay Area technology companies or global enterprises
- Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services
- Strong architectural understanding of containers and orchestration (Docker, Kubernetes)
- Experience designing distributed systems and production data platforms
- Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps)
- Experience leading cloud migration or infrastructure modernization initiatives
- Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems
- Production programming experience in Python strongly preferred
- Executive-level communication skills with the ability to influence technical and business stakeholders
- Proven ability to lead cross-functional virtual teams in high-stakes account environments
- Strong business acumen and understanding of enterprise procurement and buying processes
- Willingness to travel up to 30%
Solutions Architect employer: MODAL
At Modal, we are redefining the infrastructure layer for AI, making us an exceptional employer for a Solutions Architect looking to make a significant impact. Our dynamic work culture fosters innovation and collaboration, providing ample opportunities for professional growth while working alongside industry leaders and cutting-edge technology. With a strong focus on employee development and a commitment to shaping the future of AI infrastructure, Modal offers a unique environment where your contributions directly influence the success of our enterprise clients.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MODAL or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MODAL.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MODAL.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MODAL that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MODAL.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MODAL and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MODAL
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MODAL uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
