Slingshot

Location London Employment Type Full time Department Engineering Compensation UK: £100K - £250K, offers equity US: $150K - $400K, offers equity We aim to pay 90th percentile for the industry. All roles including meaningful equity ownership. 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 focused on Production Engineering, you will build the platform that powers Ash at scale. You'll work across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling to scale reliably. 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 6+ years of software engineering experience, with a track record of operating production systems at meaningful scale in high-growth, high-quality environments. Strong systems instincts and real opinions about latency, reliability, and cost. You know what breaks first under load, and you design around it. Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy redesigning systems as production teaches you something new. Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly. Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks. Nice to have Experience working on production AI inference or model serving systems. Experience working on realtime systems such as voice, live communications, or streaming. Experience working on large-scale data pipelines or evaluation systems. Experience working with ML codebases (we don't need you to be an ML 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. Work comfortably across all parts of our stack, which includes core backend (Kotlin), ML scripts for evaluation, data processing, and inference (Python), low-level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript). Elevate user experience by continually refining the reliability, performance, and scalability of the systems behind Ash. Rapidly investigate, diagnose, and resolve production issues with a focus on latency, reliability, and cost. Take 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 Compensation Range: £100K - £250K

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 focused on Mobile Engineering, you will raise the bar for our mobile apps: designing, building, and launching the features that make Ash an even more engaging and effective product. 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 expected to be an expert in all of these, 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 4+ years of software engineering experience, playing a key role in shipping a high quality consumer mobile app that is used at meaningful scale. Strong product instincts and real opinions about UX, performance, and craft. You notice the latency that makes the app feel slow even when the metrics look fine, and you fix it. Driven by creating a world class product with a world class team, wanting to own what you build, and happy tearing down experiments and features as we learn. Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly. Experience working in a fast paced environment, owning end to end features and experiments that ship in days. Nice to have Experience working on apps with realtime or voice features. Experience building and shipping Flutter apps in production. Experience working on service oriented systems in production. Experience working with ML codebases (we don't need you to be an ML 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 app features. Elevate user experience by continually refining app reliability, performance, and polish. Take initiative to independently prototype new features based on customer feedback and your own product intuitions. Work across all parts of our stack, which includes the app (Dart/Flutter), services (Kotlin), internal tooling (Next.js/TypeScript), and ML codebase (Python). Rapidly investigate, diagnose, and resolve bugs to ensure product stability. 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

Slingshot AI in London/NYC is seeking a Member of Technical Staff focused on Mobile Engineering to raise the bar for our mobile apps. You will design, build, and launch features that make Ash an engaging product. As part of a small but talented team, you will own end-to-end features, tackle performance and UX, and contribute across the stack: Dart/Flutter for the app, Kotlin for services, Python for ML, and Next.js/TypeScript for tooling.

Slingshot in London is looking for Technical Ex-Founders to join our Engineering team. You'll have the opportunity to work autonomously on impactful projects related to our AI initiative, Ash. We target top-tier compensation and support for our employees, including personal therapy and travel between our NYC and London offices. Ideal candidates have startup experience, recent engineering roles, and an interest in AI. Join us in making mental health support more accessible!

Location London Employment Type Full time Department Engineering Compensation UK £100K - £250K - Offers Equity US $150K - $400K - Offers Equity We aim to pay 90th percentile for the industry. All roles including meaningful equity ownership. 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 We're looking for Technical Ex-Founders to join our Engineering team. If you wrote your company's early code, operated it through real user growth, and miss building and shipping more than you miss anything else about the founder job, this role is for you. Engineers who've founded or been the early technical leader at a startup tend to thrive at Slingshot because they get to work autonomously and own a large set of problems. They're product-minded owners by default, comfortable defining a problem, talking to users, building a solution, and iterating. We'll always have a place for smart and motivated technical people who have built and scaled something interesting. Our tech stack uses Kotlin for core backend services, Python for our ML work, Dart/Flutter for the app, 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. What we look for You founded or were the early technical lead at a startup, wrote a meaningful share of the production code yourself, and operated it through meaningful user growth. 6+ years of (recent) hands-on engineering experience, with opinions on trade-offs and quality formed by having to live with your own decisions in production. Comfortable building inside AI/ML codebases. We don't need you to be an ML Engineer, but having an interest in AI helps! If this sounds like you, we'd love to hear from you. A short note about what you built last, what you'd want to build next, and links to anything you've shipped (projects, repos, writing) is more useful to us than a polished CV. 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 Compensation Range: £100K - £250K