Support Engineer

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.

As a Support Engineer at Chalk, you'll be our front-line technical support expert, ensuring customers have exceptional experiences with our products. You will work directly with clients across industries like finance, healthcare, and e-commerce, helping them troubleshoot and optimize their usage of Chalk's platform. This role offers a unique opportunity to deeply understand our technology, partner closely with our Engineering and Forward Deployed Engineering teams, and significantly impact customer satisfaction and product quality.

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  Provide front-line technical support to Chalk customers, diagnosing and resolving technical issues promptly.

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  Collaborate with Engineering to escalate and resolve complex issues effectively.

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  Develop deep product knowledge to help customers maximize value from Chalk.

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  Document solutions, create knowledge-base articles, and share insights to prevent recurring issues.

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  Identify opportunities to enhance product reliability, usability, and customer satisfaction.
  

• Technical background with experience in technical support or software engineering.

• Proficiency in Python and SQL.

• Strong troubleshooting, problem-solving, and analytical skills.

• Exceptional written and verbal communication skills.

• Ability to collaborate effectively with both technical and non-technical teams.

• Previous experience in customer-facing technical roles is highly desirable.

• Bachelor's degree in Computer Science or equivalent

• Experience supporting ML/data infrastructure or products.

• Understanding of Machine Learning operations and infrastructure.

• Previous experience in a high-growth technology startup.