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Roles
Compensation
GBP 100000 - 250000
UK compensation range £100K–£250K with equity offers; US offers equity range US$150K–$400K. Company aims to pay the 90th percentile for the industry and includes meaningful equity ownership. Also includes competitive compensation, travel between NYC/London offices, free lunch and coffee in office, generous learning budget, and coverage of personal therapy.
- Salary period
- yearly
- Location basis
- UK: £100K–£250K offers equity; US offers: US$150K–$400K offers equity; company aims to pay 90th percentile for the industry with meaningful equity ownership.
- Equity
- Meaningful equity ownership; offers equity included in the compensation ranges.
Benefits
- Competitive compensation (top of personal market)
- Meaningful equity ownership
- Travel between NYC / London offices
- Free lunch and coffee in office
- Generous learning budget
- Coverage of your personal therapy
Tech stack
Required
Location
London, United Kingdom
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- Work arrangement: Remote. Travel between NYC / London offices.
- Remote scope
- unclear
- Travel
- Travel between our NYC / London offices.
Role details
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.
Requirements
- 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.
Application
Please mention the word PERFECT and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==).
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- external
Company context
Make support more accessible and help people change their lives in the ways they want; improve mental health access globally.
- Product
- Ash (AI for mental health)
- Industry
- unclear
- HQ
- New York City, London
- Stage
- Series A
- Funding
- Raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors (including ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable).
Description
Location: London. Employment Type: Full time. Department: Engineering. 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. The role 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. 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 the stack, including 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 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 product intuitions. About You - 6+ years of software engineering experience with a track record of operating production systems at meaningful scale. - Strong systems instincts about latency, reliability, and cost; knows what breaks under load and designs around it. - Owns what you build; happy redesigning systems as production teaches you something new. - Comfortable building across the full stack; keen learner who picks up new languages and stacks quickly. - Experience 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 (interest in AI helps). What We Offer - Competitive compensation (top of personal market) plus meaningful equity ownership. - Travel between NYC/London offices. - Usual startup perks like free lunch and coffee in office plus a generous learning budget. - Coverage of personal therapy. Application instructions: Please mention the word PERFECT and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==).
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