Solutions Engineer

Posted 5 Days Ago
2 Locations
Junior
Software
The Role
As a Solutions Engineer, you will assist the sales team by providing technical expertise, creating demonstrations and proof-of-concepts, and gathering customer feedback to enhance the product roadmap.
Summary Generated by Built In

ABOUT BASETEN

Join our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!

THE ROLE

As a Solutions Engineer at Baseten, you will work alongside our sales team to help prospects and customers understand the technical value of our platform in the early stages of their journey. You'll serve as a technical advisor, conducting demonstrations, running benchmarks, and creating custom proof-of-concepts that showcase how Baseten's inference infrastructure and Truss system can address specific customer needs. This role is critical in translating Baseten's technical capabilities into business value for prospective customers.

RESPONSIBILITIES

  • Partner with the sales team to engage prospects and provide technical expertise throughout the early sales cycle

  • Help conduct evaluations of Baseten's platform for prospective customers

  • Create customized demonstrations and proof-of-concepts that highlight Baseten's capabilities in solving customer-specific AI deployment challenges

  • Gather customer requirements and technical feedback to inform product roadmap decisions

  • Identify common customer pain points and collaborate with product teams to address them

  • Stay current with industry trends, open-source ML models, and AI deployment best practices

  • Partner with the Forward Deployed Engineer team to deliver value for strategic customers

REQUIREMENTS

  • 2+ years of experience in technical pre-sales, solutions engineering, or customer-facing technical roles, preferably in an ML/AI company or ML-focused role

  • Intermediate experience with Python

  • Basic understanding of AI/ML concepts, especially around model deployment and inference

  • Familiarity with open-source ML models and common LLM tools and frameworks (e.g., LangChain, Hugging Face, etc.)

  • Strong communication skills with the ability to explain technical concepts clearly to diverse audiences

  • Bachelor's degree in Computer Science, Engineering or equivalent practical experience

BENEFITS

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)

  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era

  • An inclusive and supportive work culture that fosters learning and growth

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Top Skills

Ai/Ml
Hugging Face
Langchain
Ml Models
Python
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The Company
59 Employees
On-site Workplace

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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