At a Glance
- Tasks: Join a passionate team to build AI solutions for mental health.
- Company: Slingshot AI, creators of Ash, the first AI for mental health.
- Benefits: Competitive salary, equity options, travel perks, and personal therapy coverage.
- Other info: Dynamic startup culture with opportunities for rapid growth and learning.
- Why this job: Make a real difference in people's lives with cutting-edge technology.
- Qualifications: 6+ years in software engineering with a focus on production systems.
The predicted salary is between 100000 - 250000 £ per year.
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 include meaningful equity ownership.
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 top-tier tech investors.
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 real-time 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
Member of Technical Staff, Production employer: Slingshot
Slingshot AI is an exceptional employer, offering a unique opportunity to work at the forefront of mental health technology in London. With a strong focus on employee autonomy and support, we foster a collaborative and innovative work culture that empowers our team to make a meaningful impact. Our competitive compensation packages, including equity ownership, generous learning budgets, and personal therapy coverage, reflect our commitment to the well-being and growth of our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff, Production
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Slingshot AI. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a project or two that showcases your tech prowess, don’t hesitate to share them. A portfolio can speak volumes about your capabilities.
✨Tip Number 3
Prepare for the interview by understanding our mission and tech stack. Be ready to discuss how your experience aligns with what we do at Slingshot AI. It shows you care!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Member of Technical Staff, Production
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for mental health and AI shine through. We want to see that you care about making a difference and are excited about the role!
Tailor Your CV:Make sure your CV highlights relevant experience that aligns with our tech stack and the responsibilities of the role. We love seeing how your past work can contribute to our mission!
Be Authentic:Don’t be afraid to show your personality in your application. We’re looking for builders who are genuine and ready to bring their unique perspective to our team.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Slingshot
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Kotlin, Python, and Rust. Even if you're not an expert in all of them, showing that you have a basic understanding and a willingness to learn will impress the interviewers.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss past experiences where you've tackled production issues or improved system performance. Use specific examples to illustrate your thought process and how you approach challenges, especially in high-pressure environments.
✨Show Passion for Mental Health
Since Slingshot AI is focused on improving mental health access, express your enthusiasm for this mission. Share any relevant experiences or insights that connect your technical skills to making a positive impact in people's lives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
