Senior Product Engineer, Slingshot AI

£90-200k

+ Equity

Kubernetes

TypeScript

GCP

Python

Kotlin

Next.js

Flutter

Senior and Expert level

London

More information about location

3-5 days a week in office (Soho, NY)

Foundational model for psychology

Open for applications

Foundational model for psychology

21-100 employees

HealthcarePersonal healthArtificial IntelligenceDeep TechMental healthMachine LearningWellbeing

Open for applications

£90-200k

+ Equity

Kubernetes

TypeScript

GCP

Python

Kotlin

Next.js

Flutter

Senior and Expert level

London

More information about location

3-5 days a week in office (Soho, NY)

21-100 employees

HealthcarePersonal healthArtificial IntelligenceDeep TechMental healthMachine LearningWellbeing

Company mission

To use AI to make Mental Health Care more accessible.

Job

Company

Role

Who you are

Thrive building mobile and web applications zero-to-one. Working with different technologies across the whole vertical, including frontend, databases, and any relevant infrastructure
Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures, e.g. microservices, message queues, caching layers, and databases (ideally, SQL and NoSQL)
Driven by building a world-class product with a world-class team, want to own what you build, and you’re comfortable building and throwing away code
Experience working in a fast paced environment, working at lightning speed to ship fast
Self starter and a keen learner with an ability pick up new tools, languages, and concepts on the job. We don’t need you to be an Machine Learning Engineer, but having an interest in AI helps!

What the job involves

As a Senior Product Engineer, you will play a critical role in building the systems and services that make the Ash product possible
As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about keeping our systems scalable, performant, and secure
Once you’re embedded in the team, you will get the opportunity to lead projects of your own, with goals to make our products better, faster, and more reliable
You will have the opportunity to interact and contribute to our entire tech stack. From our backend services (Kotlin), our mobile app (Flutter/Dart), internal tooling (Next.js/TypeScript), and model training pipelines (Python). We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider
Collaborate within our core Engineering team, Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack
We encourage everyone to be comfortable working in all parts of our stack, which includes the app (Dart/Flutter), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python)
Elevate user experience by continually refining app reliability, performance, and polish
Rapidly investigate, diagnose, and resolve bugs to ensure product stability
Taking initiative to independently prototype new features based on customer feedback and your own product intuitions

Salary benchmarks

Our take

Use-cases of machine learning in the previous three decades have gone from the impressive but impractical achievements of beating Chess Grand Masters to being integral to some of the world’s most used commercial applications like Google Search.

Slingshot is taking Large Language Models in a new direction, using its machine-learning tools to train generative AI in deep psychology. The aim is to build machine learning models that can perform modern therapy through Ash, set to be the first AI counsellor, driving down the cost of mental healthcare.

Slingshot is attempting to democratize access to mental health care through the increasingly complex capabilities of ML. What started for Slingshot as a general exploration of machine learning has developed into a potentially significant and singular product. Slingshot has won investor confidence, evidenced by its $40 million Series A funding round in 2022.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Jul 2025

$13m

SERIES A

Jan 2025

$40m

SERIES A

Total funding: $89.2m

Company benefits

Hybrid environment, highly collaborative, fast-paced culture
Unparalleled growth opportunity - learn faster than you would anywhere else
Have a massive impact on the next generation of ML engineering
Work with a passionate team that cares about creating an AI world that's not winner-takes-all
Learning and development budget
Company offsites and events
Lunch on us when you are in the office

Company HQ

Soho, New York

Leadership

Daniel Reid Cahn

(Co-Founder & CEO)

Graduated with a Master's at Imperial with distinction and an award for novel work in Deep Reinforcement Learning. Prior to Slingshot, they were a Machine Learning Engineer at Instabase filing two patents that redirected the strategy of the company at large.

Neil Parikh

(Co-founder)

Neil is co-founder of Casper, the global sleep company which he helped grow to over $500million in revenue and IPO'd in 2020.

Share this job