Forward Deployed Engineer

Company shown to members 🔒 · Remote · UK, Singapore, Japan +1 only

UK, Singapore, Japan +1 only4+ years requiredPublished 25 September 2025Ghost risk: high

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
4+ years required
Where you can live
UK, Singapore, Japan +1 only
Skills and tools
sql, python, machine learning, onboarding
Degree or licence
Mentioned (bachelor's)
Job type
Full-time

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Job details

Where you can work
United Kingdom, Singapore, Japan, Israel
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
4+ years required
Employer publication date
25 September 2025
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

About the company

The company (the company [link for members] is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, the company brings together context, runtime, and learning for agents and models. The company’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. The company’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 the company [link for members]

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 the company 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 the company 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 the company technology for the company customers and prospects. You will become familiar with the company 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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Ghost Job Detector: Ghost risk: high
  • Open over a year (411 days)
  • No pay listed
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