Forward Deployed Engineer
Posted 30 days ago · 0 applicants
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The role in plain words
This role involves writing code to implement Chalk's machine learning data platform for customers and prospects across industries like healthcare and finance. You will act as the primary technical point of contact pre- and post-sales, engineering efficient feature pipelines and integrating technology into various customer environments. Additionally, you will partner with internal engineering and sales teams and assist in interviewing new candidates.
- Technical background including experience writing software or building ML models
- 4+ years of professional backend software engineering experience
- Proficient in Python
- Proficient in SQL
- Ability to collaborate effectively in teams of technical and non-technical individuals
- Experience working closely with sales teams and customers
- Previous experience working with ML/data products or services
- Understanding of Machine Learning Ops/Infrastructure
- Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning
Extracted from the job description · kept up to date automatically
Who this suits
This role suits backend software engineers with 4+ years of experience, strong Python and SQL skills, and excellent communication abilities for working directly with customers. It may be less ideal for engineers looking for a purely internal product role without client-facing or pre/post-sales responsibilities.
Full job description
Original listing · kept for referenceAbout Chalk
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.
About The Role
You are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up.
What You Will Do
• Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
• Work closely with our Engineering and Sales teams
• Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)
• Recommend new products to customers as their business evolves
• Help interview and grow the Engineering team
What We’re Looking For
• Technical background including experience writing software or building ML models
• 4+ years experience of professional backend software engineering experience
• Proficient in Python, SQL
• Ability to collaborate effectively in teams of technical and non-technical individuals
• Excellent written and verbal communication, problem-solving, storytelling, and analytical skills
• Experience working closely with sales teams and customers is a plus.
• Bachelor's degree in Computer Science or equivalent
Bonus points
• Previous experience working with ML/data products or services
• Understanding of Machine Learning Ops/Infrastructure
• Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- On-site
- Technical background including experience writing software or building ML models, 4+ years of professional backend software engineering experience, Proficient in Python, Proficient in SQL, Ability to collaborate effectively in teams of technical and non-technical individuals