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Member of Technical Staff

Confirmed live in the last 24 hours

Slingshot AI

Slingshot AI

London
On-site
Posted April 1, 2026

Job Description

Slingshot AI

Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.

We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.

We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.

The role

This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Member of Technical Staff, you will play a critical role in making Ash an even more engaging and effective product. You will work in a cross functional team led by our Machine Learning Lead, sitting at the intersection of product and research. Your work will be primarily back-end and ML-focused, with some front end components, spanning across behind the scenes automations and integrations to make Ash a more powerful tool.

As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people’s lives better. We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives..

Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/Typescript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You’re not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.

About you:

  • Thrive working across the full stack, with a strong back-end foundation and comfort working within ML codebases. Experience with frontend and mobile is a plus but not the primary focus.

  • 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.

  • Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures.

  • Experience working in a fast paced environment, working at lightning speed to ship fast.

  • Self starter and a keen learner with an ability to pick up new tools, languages, and concepts on the job. We don’t need you to be a Machine Learning Engineer, but having an interest in AI helps!

Key responsibilities:

  • Collaborate within a cross-functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack, with a primary focus on back-end and ML systems and extending to front-end components where needed.

  • Work comfortably across 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.

What we offer:

  • A chance to join a passionate tight-knit team working on something to change the world

  • Competitive compensation (top of personal market)

  • Travel between our NYC / London offices

  • Usual startup perks like free lunch and coffee in office + generous learning budget

  • We cover your personal therapy

pythontypescriptrustgcpkubernetesmachine learningaifrontendbackendmobile