Experience Requirements:

• 2+ years of experience in our stack

• 1+ year of experience in our industry (ecommerce / email marketing)

• Excitement about using AI coding tools to increase productivity (e.g. Cursor, Windsurf, Copilot)

Experience Requirements:

• 3+ years of experience in security engineering, DevSecOps, or infrastructure engineering with a strong security focus

Responsibilities:

• Design and implement access controls, secrets management, and network boundaries across AWS

• Lead the technical implementation of SOC 2 Type II and other compliance initiatives

• Build monitoring and alerting systems for intrusion detection, audit logging, and anomalous behavior

• Help secure our backend (Go microservices), frontend (React/TypeScript), and desktop/mobile apps

• Work with engineering to embed secure development practices into our CI/CD pipelines

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 4+ years of experience in machine learning engineering, building and deploying ML systems in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling production ML systems at high-growth startups

Responsibilities:

• design, build, and ship production ML systems that drive real-world customer impact.

• You’ll collaborate directly with customers to understand real-world data and needs.

• You’ll design retrieval and ranking pipelines, productionize LLM applications, and optimize system performance

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 2+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 5+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• Software engineering internship experience at high-performance companies (e.g., venture-backed startups or top-tier tech companies)

Responsibilities:

• Own and ship high-impact features end-to-end

• Talk directly to customers to identify pain points and rapidly iterate on solutions

• Deploy production code frequently — often multiple times a day

• Work across our stack (Go, React/Typescript, AWS serverless) to move fast and make things real

Experience Requirements:

• 3+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 5+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 3+ years of experience in a technical customer-facing role — maybe as a solutions engineer, product specialist, or technical account manager — ideally at a fast-growing startup.

Responsibilities:

• Work closely with customers to understand their workflows and goals

• Co-design implementation plans and iterate based on usage and feedback

• Help define and execute rollouts of new features, integrations, and upgrades

• Represent the voice of the customer internally, surfacing patterns and opportunities

Experience Requirements:

• 3+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• 5+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• Some background or experience in the legal industry (or are excited to learn about it)

• Experience with different aspects of go-to-market: taking sales calls, lead generation, blog and social media content, live events, etc.

Responsibilities:

• Executing outbound strategies to generate new opportunities

• Taking and closing sales calls

• Creating marketing and sales enablement content

• Planning and attending conferences and dinners

• Lending a hand wherever needed, eg. with operations or recruiting

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Comprehensive health, dental, and vision insurance

• Flexible hours

• fully remote

• international offsites

• no-meeting Fridays

Experience Requirements:

• Proven track record of independently building and shipping full-stack applications that solve real user needs, with a focus on product-market fit and user outcomes.

• Strong foundation in data science and machine learning, with experience using data to drive product decisions, design and analyze A/B tests, and measure impact.

• Deep understanding of modern AI capabilities and limitations, balanced with pragmatic product sense - you know when AI adds genuine value versus when simpler solutions would better serve users.

• Experience navigating complex ethical considerations in technology, particularly around safety, privacy, and responsible AI deployment.

• Demonstrated ability to move quickly and innovate while maintaining rigorous standards for safety and efficacy, especially when serving vulnerable populations

Responsibilities:

• Build and evolve our platform architecture, creating interfaces and systems that effectively combine AI capabilities with intuitive user experiences.

• Design and implement robust experimentation frameworks to continuously measure and improve the effectiveness of our services.

• Drive product decisions through data analysis, translating insights into features that measurably improve mental health outcomes.

• Ship and iterate on production features across our platform ecosystem (TikTok, Discord, etc.), directly impacting millions of young people.

• Advance the field of AI and digital mental health by contributing to peer-reviewed research and open-source initiatives, sharing insights that can help the broader community.