AI Solutions Engineer

About Foundry

At Foundry, we are transforming the way AI companies access compute power. Our mission is to orchestrate the world’s compute capacity, making it easier to use and optimized for AI workloads. We're building a new type of public cloud—one designed specifically for AI, where accessing high-performance compute is as simple and reliable as flipping a switch.

Spun out of a Stanford PhD lab just over a year ago, Foundry has already gained the backing of top-tier investors like Sequoia, Lightspeed, Jeff Dean, Eric Schmidt, and others. With $80M in funding, we’ve secured customers and are generating revenue.

Today’s machine learning infrastructure is overly complex. Engineers are forced to make tough decisions about hardware, when their focus should be on solving big problems and driving innovation. Our platform changes that. By abstracting away hardware management and providing seamless access to compute resources, we enable engineers to focus on what really matters—building transformative AI solutions.

We're not just making compute accessible; we're making it flexible, scalable, and tailored for the unique demands of AI. Our infrastructure marketplace brings the power of state-of-the-art hardware without the friction, allowing companies to innovate faster and more efficiently.

 

Working at Foundry

As Foundry’s first Sales Engineer, you’ll be at the forefront of helping our customers unlock the potential of AI by leveraging our cutting-edge cloud platform. Your role is critical—not just in demonstrating the technical capabilities of our platform, but in translating those capabilities into practical solutions that address the unique needs of our clients. In an era where AI workloads are becoming more complex, your expertise will be key in guiding customers through their technical challenges and helping them succeed.

Our platform supports advanced AI workloads, managing vast amounts of data while delivering high-performance, scalable solutions for AI practitioners. As the first Sales Engineer, you will play a pivotal role in the pre-sales process, working closely with potential customers to understand their technical requirements and showcase how Foundry’s platform can meet their needs. You’ll act as a trusted advisor, connecting the dots between technical possibilities and real-world business outcomes.

If you’re motivated by the challenge of leading technical sales engagements, thrive in a fast-paced environment, and are excited about shaping the sales engineering function from the ground up, Foundry is the place for you. Here, autonomy and ownership are paramount. You’ll have the freedom to build the sales engineering function, backed by a collaborative and inclusive team. Our flat structure ensures your ideas don’t get lost in hierarchy—every member of the team has a hand in shaping both the product and the company’s direction.

At Foundry, we demand precision, clear communication, and relentless innovation in how we approach customer success and technical solutions. If you’re passionate about bridging the gap between cutting-edge technology and customer needs, join us and be a part of something transformative.

 

Joining Foundry

As the first Solutions Engineer, you’ll cover a lot of ground—from technical sales and customer support, to content and product development. Your knowledge of cloud infrastructure and AI/ML workflows will guide customers and our internal teams to success. Like you, our customers are technical people building on the frontier of AI, and the compute we offer is a vital resource in achieving their mission. You’ll build successful relationships with customers who will lean on you to envision what’s possible with Foundry. In addition to our customers, we’re a small, multi-disciplinary team ranging from product generalists to AI PhD’s that will be here to support you and vice-versa.

 

Responsibilities

Lead technical sales process from pre-sales to onboarding

• Act as the primary technical contact during pre-sales, offering tailored solutions and guiding customers through deployment
• Build and maintain strong relationships with key decision-makers and technical stakeholders at some of the most forward-looking AI companies
• Partner with Sales to address and resolve any blockers preventing customers from adopting the product

Design technical solutions & provide customer support

• Collaborate with customers to troubleshoot and resolve technical issues, optimizing solutions for their AI/ML workloads
• Act as a primary contact for customer support, leveraging your deep understanding of the Foundry Cloud Platform and its use cases to quickly address customer requests
• Assist customers with the deployment and scaling of AI/ML workflows on the Foundry Cloud Platform

Develop content & share knowledge

• Develop technical content such as documentation, demos, and articles to support customers
• Create and maintain internal knowledge bases and training materials for both technical and non-technical audiences
• Lead workshops to educate customers and internal teams on product capabilities and best practices
• Collaborate with marketing and product teams to create technical collateral and enablement materials

Provide product feedback & development

• Gather and analyze customer feedback to inform the product roadmap
• Provide technical feedback to product and engineering teams to improve features and resolve issues, diving into the codebase when necessary
• Identify patterns and develop scalable solutions that can be implemented across multiple customers

 

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field
• 4+ years of experience in a previous role as a Sales Engineer, Solutions Engineer, Solutions Architect, or Forward Deployed Engineer
• Experience building tools and products for engineers / developers
• Customer-first mentality with excellent written and verbal communication
• Results-driven and an ability to self-direct toward the most impactful work
• Eager to learn and grow alongside a constantly evolving AI landscape

 

Nice to have

• Experience with AI/ML workloads
• Experience at a Cloud provider (AWS, GCP, Azure)

 

Benefits

• Health, dental, and vision coverage for you and your dependents
• 401k Plan with 4% company match
• 21 days of PTO & 14 company holidays; including 2 floating holidays

 

Salary Range Information

In consideration of market analysis and various pertinent factors, the remuneration bracket for this role is set between $170,000 and $230,000. Nevertheless, adjustments beyond this range could be warranted for candidates whose qualifications substantially deviate from those delineated in the job description.

 

In-Office requirement

At Foundry, we take our work extremely seriously, though not always ourselves. We recognize that we are striving to achieve something substantial—an all-too-rare and elusive counterfactual contribution. Our work is not easy, so we seek out any lever that can accelerate our progress and increase the likelihood of realizing our full ambitions. Working collaboratively in person is one such lever.

Our headquarters is in Palo Alto (next to Caltrain on University Ave.), and we recently opened a new office in San Francisco (Financial District/SoMa) for our teammates based there. We expect team members to primarily work from their home office, with everyone gathering at HQ one day a week while our team remains small and cross-team collaboration is critical.

This approach is built on trust. We take our mission seriously and are committed to fostering an environment where you can make impactful decisions and drive success. We also understand that life can present challenges, and if extenuating circumstances arise, we’re here to support you.

Ultimately, we believe this guidance helps us be as effective as possible while maintaining the spirit of teamwork and flexibility.

 

Equal Opportunity Employer

Foundry maintains a strict commitment to Equal Opportunity employment practices. All applicants are evaluated without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

We emphasize that candidates need not fulfill every expectation listed to be eligible for this position. Our objective is to cultivate a diverse team encompassing a spectrum of backgrounds, experiences, and skill sets.

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