Posting record
Open 14 days
- Chalk's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age.
Last checked Nov 3, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 4+ years of experience
- Bachelor's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Chalk
Chalk ( chalk.ai ) is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, Chalk brings together context, runtime, and learning for agents and models. Chalk’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. Chalk’s runtime powers agents and models with infrastructure and governed access to LLMs and tools. Together, these capabilities help teams build AI that understands their business, continuously improves, and runs reliably in production. We've recently raised a $50 million Series A, led by Felicis. Learn more at chalk.ai .
About the role
You are an exceptional Software Engineer who wants to work directly alongside the people using what you build. As a Forward Deployed Engineer, you will be embedded with our customers' data engineering, data science, and machine learning teams and write code that connects Chalk to their unique infrastructure and use cases. As the subject matter expert in the room, you will work with these data teams to build efficient ML and AI systems. When a customer needs something that Chalk doesn't do yet, you will prove out that new capability and personally build the first version into our platform, where it becomes available to every customer.
Your work will power 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 across the entire code base 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
- Discover customer's needs and then design, implement, and ship new features for customers
- 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.
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