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SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today

About 1st Formations At 1st Formations, we empower entrepreneurs to start, run, and grow their businesses with confidence. Running a business shouldn’t be slowed down by company formation, statutory compliance, accounting, or payroll. From day one, these essentials should be seamless, reliable, and intelligently handled — freeing founders to focus on building and scaling. We’re a leading UK provider of company formation and compliance services, building a modern, fully integrated technology platform that supports founders at every stage of their journey. Our platform brings together formation, compliance, accounting, payroll, and ongoing business support in one cohesive experience. No stitched-together services. No legacy workflows disguised as software. Just a single, scalable platform built for ambitious founders who want to move fast, stay compliant, and grow with confidence. Why Join Us Now? You’ll be joining a business with strong momentum, clear direction, and real opportunity for progression. * £18m annual revenue, including £9m ARR * Over 1 million companies formed * Certified B Corp and Carbon Neutral Business * Forecast to grow 5x–10x over the next three years The Role We’re looking for a proactive and client-focused Customer Service Executive to act as the first point of contact for our accounting service clients — typically small businesses and founders. You’ll confidently handle client queries, resolve simple issues directly, and ensure more complex requests are escalated efficiently — all while managing expectations and maintaining high levels of satisfaction.   Key Responsibilities * Serve as the first line of support for client enquiries via phone and email * Resolve routine and repeatable requests quickly, using internal tools and knowledge bases * Accurately triage and escalate more complex queries (e.g. tax/accounting-specific) to the appropriate internal team (Accounting, Payroll, Onboarding, etc.) * Take ownership of customer issues, ensuring they are followed through and resolved in a timely and professional manner * Log support tickets and interactions clearly and consistently for traceability across teams * Communicate clearly around deadlines, required client inputs, and next steps * Manage a high volume of support queries daily in a calm and orderly way * Collaborate with internal teams to improve service workflows and flag friction points * Support new clients with initial system access (e.g. QuickBooks logins) and process introductions What We're Looking For * Experience in high volume inbound call environments * Confident juggling phone calls, emails and live tickets simultaneously * Calm, empathetic, and efficient communicator, especially when handling frustrated or concerned clients * Clear understanding of ticket logging, escalation procedures, and client documentation * Experience logging and triaging issues accurately while on the phone * Nice to have - Experience with accounting software (QuickBooks, Xero, Freshboks, Dext) gained in the CS department of such companies or in the CS department of medium to big sized chartered accountant practices * Proactive attitude - always looking to preempt follow-ups or reduce friction What We Offer * £32-35k and comprehensive benefits package * Hybrid working model after the first month (3 days office; 2 days work from home) * Real opportunities for progression as the business scales * The chance to influence both customer experience and product development * A culture that values ownership, impact, and continuous learning Equal Opportunities 1st Formations is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We consider all applicants for employment without regard to race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, criminal history, disability, or gender identity. We encourage individuals from all backgrounds to apply. If you have a disability or special need that requires accommodation, please let us know.

The role… At Soho House a Reception Manager in an influential leader that finds passion in customer service and hospitality. Showcases leadership skills to guide the Reception team and provide members, guests and staff with outstanding customer service. The Reception Manager oversees the overall management of Club Reception, labor as well as supervising the floor, employees and employees-guests’ relations. A successful Reception Manager thrives in fast-paced environments and addressing sensitive member inquiries. Proven leader with excellent people skills and the ability to remain cool under pressure while still delivering outstanding service that lives up to the Soho House ethos!  Main Duties * Influential Leader, trainer and approachable mentor for process and ensure communication strategies / messaging are followed and consistency is maintained * Provide constructive feedback, coaching and training to managerial and non-managerial staff on guest relations and take an active role with the Management Team for the assessment, delivery and follow-up on training needs for staff. * Hire, train, develop, counsel, evaluate, and discipline staff, including performance reviews as well as supervise, direct, coordinate, inspire and persuade staff in order to maintain service standards for Soho House & Co * Implement and carry out effective and efficient operating standards while also being flexible to change and fostering positive implementation and ability to move from one task to another without loss of composure * Organize, schedule and conduct staff meetings and agendas monthly * Responsible for staff schedule, payroll and understanding of upcoming business volumes to ensure proper coverage is maintained at the Reception Desk to support operating needs * Process all members, guests as well as staff disputes and claims in a timely manner and communicate quickly to ensure everyone understands next steps and how to proceed * Work with Reception Manager to establish and maintain department operating procedures * Manage day-to-day Club Reception operation and respond in courteous, professional, and rapid manner in order to resolve all difficulties * Ensure all systems are kept up to the date with accurate information and the Soho House standards are met from local and regional compliance as well as health and safety Required Skills/Qualifications: * Minimum of 6+ years of equivalent work experience (3+ years Managing/Supervisory capacity) * Influencer and experienced leader in training and developing a fun, elevated and approachable environment within Reception Team * Must have OpenTable, Salesforce and Opera experience is not a must but would be nice * Must have experience answering high-volume phone lines and answering inquiries professionally, timely and to the best of your abilities. * Problem solving skills and bring conflict resolution to any anticipated or current matter * Detail oriented, articulate and ability to multi-task in a high-volume and demanding work environment * Strong communication skills and ability to understand and follow written and verbal instructions * Flexible schedule and ability to work nights, weekends and holiday’s (as needed) Physical Requirements * Must be able to seize, grasp, turn and hold objects with hands. * Must be able to work on your feet for at least 8 hours. * Fast paced movements are required to go from one part of the club to others. * Must be able to move, pull, carry, or lift at least 20 pounds. * Occasionally kneel, bend, crouch and climb as required. Why work with us... Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to enhance your career. * Health Care + 401K: Full time employees are eligible for full benefits; Medical, Dental & Vision as well as Retirement fund with a 2% match * Paid Time Off: Full- Time Employees have sick day's + vacation days * Career Development: Soho House can progress your career domestically or internationally as well as managerially or technically * Soho Impact: Empowering the Soho House Community to make positive change, through mentoring, apprenticeship, local outreach and sustainability * Learning & Development: An extensive range of internally and externally run courses are available for all employees. * Cookhouse & House Tonic: Celebrating our passion for food and drink. Check out our monthly calendars and get involved in trips, training's and events. Available to all. * Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to. * Team Meal: Whilst on duty in our Houses & Restaurants you will be provided with a substantial meal free of charge. In accordance with New York law, the salary range for this role if filled within New York is listed below. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law. Pay Range $80,000—$85,000 USD

Summary of the Role: As Security Research Lead at Maze, your research directly shapes our products and how our AI understands real risk. This is a unique opportunity to join a well-funded Series A startup building at the intersection of generative AI and cybersecurity, leading the research function that makes our products sharper than anything else on the market — and gives Maze a credible technical voice in the security community. You'll set the bar for our vulnerability research: defining the methodologies that separate critical risk from noise, validating and contextualising the threats our AI surfaces, and feeding that expertise straight into product and engineering to improve how we detect, prioritise, and remediate. You'll work hand-in-hand with our AI/ML, product, and engineering teams — close to the roadmap and the code, not off to one side — turning what you find into capabilities that crush the competition. Alongside that, you'll amplify the work externally: surfacing novel vulnerabilities and building research narratives that earn real reach, giving Maze technical credibility with practitioners and customers. This role is perfect for a security researcher with real depth in cloud and application security who is ready to step up: someone who wants their research to ship as product, can lead a small research team, and can tell a story that lands with a technical audience. The ideal candidate has done this inside another security vendor and wants to build both great products and a research brand from a strong foundation. What you'll work on: * Make Our Products Brilliant: Feed research directly into product and engineering — work close to the roadmap and the codebase to sharpen how we detect, prioritise, and remediate, building capabilities that outclass the competition * Shape How Our AI Understands Risk: Translate deep threat research into the labels, signals, and product feedback that train our models to prioritise vulnerabilities like a seasoned researcher * Lead Our Security Research Function: Set the direction, standards, and methodologies for how Maze researches, validates, and prioritises cloud and application security threats, scaling a small team of researchers as we grow * Find Novel Vulnerabilities That Get Reach: Surface original research and build narratives — blog posts, technical talks, podcasts, video, conference presentations — that earn real reach and give Maze technical credibility with the security community * Build Authoritative Technical Intelligence: Produce detailed research on exploitation techniques, attack vectors, and remediation across cloud infrastructure and application security, enriched with CVE, advisory, and threat-intel sources * Set the Standard for Research Quality: Establish the frameworks and review processes that keep our vulnerability assessment consistent, defensible, and ahead of the threat landscape * Grow the Bench: Mentor and develop researchers, raising the technical bar of the team and creating a research culture others want to join What You Need to Be Successful: * Proven Security Research Depth:** 6+ years in hands-on security research, with a strong track record investigating complex vulnerabilities, building proof-of-concepts, and validating real-world threats * Cloud & Application Security Expertise: Deep knowledge of cloud (AWS) and application security vulnerabilities, attack vectors, and how they actually get exploited at scale * Research That Ships as Product: A track record of turning research into product and engineering outcomes — working closely with eng, product, and ML teams to translate findings into shipped capabilities, not reports that sit on a shelf * A Public Track Record: Demonstrated ability to be the voice of security research externally — published research, conference talks, well-received technical content, or a recognised presence in the community * Vendor-Grade Perspective: Direct experience inside a security tooling or research organisation, with a view on what good research operations look like and how to build credibility in market * Technical Investigation Skills: Strong coding and scripting (Python, Go, or similar) for automating research, building validation tooling, and creating PoCs * Communication That Lands: Ability to translate complex security research for technical practitioners, customers, and internal AI/ML and product teams without losing rigour * Leadership Instinct: Experience leading or mentoring researchers, setting standards, and owning a domain end-to-end in a fast-moving environment * Startup Readiness: Comfortable operating with ambiguity and limited structure, prioritising ruthlessly, and building the function as you run it * Nice to haves: * Experience with AI/ML security or working with AI-generated security findings * An established personal brand or following in the security research community * Open-source contributions to security tools or research * Experience setting up or scaling a research/labeling operation * Industry certifications (OSCP, AWS Security, CISSP, etc.) Why Join Us: * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cloud and application security. You'll define how AI understands and prioritises vulnerabilities — and how the market talks about it. * Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups, who have been part of the leadership teams behind multiple acquisitions and an IPO. * Build Products and a Research Brand: A rare chance to build a security research function from a strong foundation where your research ships as product — directly shaping what we build and how Maze is seen in the security community. * Impactful Work: Cybersecurity is a force for good. Your research will directly improve how thousands of organisations understand and respond to threats, scaling expert security knowledge through AI. * Build an AI-native Company: Join early enough to shape everything from the ground up, with significant equity upside and the room to grow into senior security leadership.

Summary of the Role: As Security Engineer (Internal) at Maze, you'll own how we secure ourselves — our cloud, our applications, and the way our engineers build. This is a unique opportunity to join a well-funded Series A startup building at the intersection of generative AI and cybersecurity, establishing the internal security foundation that lets a three-product company keep moving fast as it scales. You'll take hands-on ownership of cloud infrastructure security, application security, security tooling, and the compliance work that unlocks enterprise deals. We're deliberately looking for a strong generalist rather than a narrow specialist: someone who can harden our AWS environment and identity model, get into the weeds on application security, and run a pragmatic compliance program — and who knows when a control is worth the friction and when it isn't. Your success will be measured by the robustness of our security posture, our readiness for enterprise customer requirements, and your ability to make secure the default path for engineering rather than a blocker. This role is perfect for a pragmatic, broad security engineer who has built and run security at a startup, thrives with autonomy, and wants to own a domain end-to-end. You'll be our founding internal security hire — but not a lone wolf for long: this is the first role in a function we expect to grow, and as we scale we'll add to the team and bring in dedicated security leadership. You'll set the foundations the rest of that team is built on, and have a clear runway to grow alongside it. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Harden Our Cloud Infrastructure: Secure our AWS environment by design — identity and access management, hardening, network and infrastructure-as-code controls (Terraform) — closing real risk rather than chasing checkboxes * Own Application Security: Embed application security into how we build, from secure-by-default patterns and code review guidance to triaging and driving down vulnerabilities across our own products and services * Build Security Tooling and Monitoring: Stand up the monitoring, logging, and alerting that gives us visibility across infrastructure and applications, and serve as our first line of defence * Run Compliance Pragmatically: Lead readiness for SOC2, ISO27001, and similar frameworks — building the controls, documentation, and evidence that support enterprise sales without drowning the team in process * Establish Security Policies That Enable: Create practical security policies and procedures that keep standards high while letting the team move quickly — no security theatre * Automate Security Operations: Build security automation and tooling in code, using AI-assisted workflows to ship faster while keeping quality high * Manage Vendor and Supply-Chain Security: Assess third-party vendors and tools so our supply chain meets enterprise expectations * Enable Incident Response: Develop incident response plans and runbooks, and establish clear processes for detecting, responding to, and recovering from security incidents WHAT YOU NEED TO BE SUCCESSFUL: * Broad, Hands-On Security Engineering: 5+ years building and running security, with genuine breadth across cloud security and application security rather than depth in only one — comfortable being the person who covers the whole surface area * AWS Security Expertise: Deep, hands-on knowledge of AWS security — IAM, hardening, and AWS-native security tooling — with the judgement to prioritise what matters * Application Security Capability: Real experience finding and fixing application-layer vulnerabilities, and embedding secure development practices into engineering workflows * Infrastructure as Code Proficiency: Strong experience managing security controls programmatically with Terraform, building secure, scalable infrastructure through code * Coding and Scripting Skills: Proficiency in Python, Bash, or similar for security automation, custom tooling, and integrating security into development workflows * Compliance and GRC Know-How: Practical experience translating SOC2, ISO27001, or similar requirements into technical controls — without letting process become the product * Pragmatic Security Mindset: A track record of balancing security rigour with business velocity, implementing controls that enable engineering rather than block it * Startup Self-Direction: Proven ability to operate autonomously as an early security hire, prioritise ruthlessly, and build without extensive oversight — and to thrive in the ambiguity of an early-stage company * Foundation-Setter: Mindset to build security in a way others can build on as the team grows — clear documentation, repeatable processes, and standards a future team and security leadership inherit cleanly * Nice to haves: * Experience building security programs at early-stage startups (seed through Series B) * Background in DevOps or SRE that grew into security engineering * Familiarity with container security (Docker, Kubernetes) * Experience at a cybersecurity product company * A bias toward building vs buying security tooling under startup constraints * AI-assisted security workflow experience WHY JOIN US: * Ambitious Challenge: We're building at the intersection of generative AI (LLMs and agents) and cybersecurity — and you'll secure the company doing it, across cloud and application security. * Build Security from Zero: Own the internal security function from day one, establishing the architecture, tooling, and practices that scale Maze through hypergrowth — then help grow the team and function around you as we scale. * Expert Team: Work alongside a CTO and engineering team with deep experience in AI and cybersecurity — hands-on leaders who have been part of multiple acquisitions and an IPO — giving you strong technical partnership while you own security. * Impactful Work: Cybersecurity is a force for good. Your work directly enables AI-powered security solutions that protect organisations worldwide — making security an enabler of innovation, not a blocker. * Build an AI-native Company: Join early enough to design everything from the ground up, with significant equity upside and a clear path to grow as our security organisation matures.

SUMMARY OF THE ROLE: As a Product Designer at Maze, you'll define what product design looks like for AI agents in cybersecurity — a problem space where the design patterns don't exist yet. This is an early-hire role at a well-funded Series A startup building at the intersection of generative AI and security, and you'll own the product surface end-to-end while working directly with our Head of Product, engineering, and founders. The product challenge is genuinely new. Our AI agents investigate vulnerabilities autonomously, surface findings with real context, and collaborate with security teams to cut through noise. Your job is to design how humans and agents work together — how trust gets built, how decisions get communicated, how complex security workflows become understandable. There's no playbook for this. You'll create one. This role suits someone who operates closer to a product director than a screen-shipper — driving direction, influencing strategy, and making business-impact calls, alongside the visual craft to deliver them. You'll be using AI tools daily to move faster, but your craft is the floor: every design choice should hold up on its own merits, independent of how it was generated. Success looks like a design system shipped and adopted across the product, and concrete product outcomes — feature adoption, POC-to-customer conversion, and customer satisfaction with the experiences you ship. YOUR CONTRIBUTION: * Define AI-Agent UX Patterns: Design how security teams collaborate with autonomous AI agents — how investigations get presented, how trust is established, how humans steer the agent without slowing it down. You're inventing patterns, not applying existing ones. * Drive Product Direction, Not Just Design: Operate as a product-led designer — shaping roadmap, challenging requirements, influencing leadership with research and business reasoning. The bar is "what should we build, and why" alongside "how should it look." * Own the Product Surface End-to-End: Take features from problem framing through shipped product, working in tight partnership with PMs and engineers — including backend. Run discovery, prototype rapidly, validate with customers, and stay close to implementation. No throwing designs over the wall, no shipping around the engineering team. * Build the Design System: Create and scale a component-based design system that becomes the foundation for everything we ship. Establish patterns for AI-human collaboration that the team can build on as we grow. * Pioneer AI-Assisted Design Workflows: Use AI tools to accelerate ideation, prototyping, and exploration — and develop the methodologies the rest of the team will adopt. Your daily workflow is itself a contribution. * Translate Research Into Design: Run customer research, talk to security teams directly, and turn what you learn into shipped product. Use AI-assisted analysis to move from insight to prototype in days, not weeks. * Set the Quality Bar: Establish what "good" looks like for product design at Maze across craft, consistency, and customer impact — as the foundation for a design team that scales behind you. WHAT YOU NEED TO BE SUCCESSFUL: * Visual Craft for Data-Dense UI: A portfolio that holds up to detailed scrutiny — strong colour theory, deliberate visual hierarchy, considered information architecture for complex workflows. This is the bar, not a nice-to-have. Your interview will dig into specific design choices and why you made them. * Product Design Track Record: 4-7 years of professional product design experience, with shipped work in B2B SaaS. We're flexible on years; demonstrated craft and clear ownership matter more than time served. * Data-Heavy B2B Interfaces: Direct experience designing for complex workflows, dense data, and technical audiences. Dashboards, investigation tools, developer products, security platforms — the kind of UI where information density and decision support actually matter. * AI as Tool, Not Crutch: You use AI tools (Figma AI, Cursor, v0, Midjourney, ChatGPT/Claude, etc.) as part of your daily workflow and can speak credibly to what they're good for and where they break down. Critically, every design choice you ship should hold up on its own — AI accelerates your work, it doesn't substitute for foundational craft. * Product-Strategic Thinking: Track record of driving product direction, not just executing on briefs. You've influenced what to build with research, framed problems for leadership, and made business-impact calls — ideally in environments where you operated without a dedicated PM. * Deep Engineering Collaboration: Demonstrable history of shipping work in tight partnership with engineers — including backend. Pairing on implementation, working in design tokens, understanding the systems your designs land in, building consensus rather than shipping around resistance. * Design Systems Experience: Background building or meaningfully contributing to a design system in a production product. You think in components, tokens, and patterns, not one-off screens. * Customer-Led Approach: Comfortable running discovery directly with users, synthesising what you hear, and using that to make calls about what to build. You don't wait for research to be handed to you. * Nice to haves: * Experience designing for cybersecurity, developer tools, or other technical product domains * Background designing agentic or AI-native product experiences (not just AI features bolted onto existing products) * Early-stage startup experience where you've operated without a manager or established design function WHY JOIN US: * Define a New Design Space: AI agents in security is a genuinely new problem. The interaction patterns, trust models, and workflows don't exist yet — you'll create them. The work you do here will influence how this entire category gets designed. * Fast-Track to Design Leadership: This is a founding-trajectory role and we're hiring for someone who wants a long-term home, not a stepping stone. As the team scales, the natural path is IC → Lead → Head of Design. If you have leadership ambitions, you'll have the runway to grow into them. If you'd rather stay deeply hands-on, the IC scope grows with the product. * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve one of the most pressing problems in cybersecurity — the gap between vulnerability findings and meaningful action. You'll be designing at the cutting edge of this field. * Expert Team: Work alongside hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Impactful Work: Cybersecurity is a force for good. The experiences you design will directly affect how security teams protect organisations worldwide. * Build an AI-Native Company: We're building a new company in the AI era with the opportunity to design everything from the ground up — including how the design function itself works. You'll help pioneer AI-assisted design practices and set new standards.

Summary of the Role: As Product Engineer (Full Stack) at Maze, you'll be the technical force behind our customer-facing product experience, owning the complete stack from UI to API while moving at startup velocity. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building at the intersection of generative AI and cybersecurity. You'll work alongside our full stack product team with significant autonomy, owning your own API layer that powers the React application, enabling you to move fast and deliver exceptional experiences without dependencies or blockers. You'll take full ownership of feature development from concept to production, building both the elegant UI components that security teams interact with daily and the robust API infrastructure that makes it all work. Your success will be measured by delivery velocity, product quality, autonomous execution, and the customer experience you create—not by process adherence or ticket completion. This role is perfect for a hands-on full stack engineer who has thrived in fast-paced B2B SaaS environments, values independence and ownership, and wants to build something extraordinary with a modern tech stack from the ground up. Your Contributions to Our Journey: * Own Product Feature Development: Take complete ownership of features from front-end UI through to API implementation and database layer, delivering end-to-end functionality that delights customers and drives product adoption * Build with Modern Front-End Excellence: Craft exceptional user experiences using React, TypeScript, TailwindCSS, and the TanStack ecosystem (Router, Query, Table), creating intuitive interfaces for complex security workflows with attention to detail and performance * Design and Maintain API Infrastructure: Build and own performant REST APIs using our Python/FastAPI backend, ensuring scalable, maintainable services that power the front-end while maintaining clean architecture and performance optimization * Drive Autonomous Execution: Operate with high independence and startup energy—identify what needs building, make technical decisions quickly, and execute without waiting for perfect requirements or extensive process * Optimize for Performance and Scale: Continuously improve application performance across the stack, from database query optimization to front-end rendering efficiency, ensuring our platform scales elegantly as we grow * Contribute to Architectural Decisions: Participate in technical discussions and architectural planning, bringing your experience to help shape our front-end architecture and potentially grow into owning architectural decisions as the team scales * Balance Speed with Quality: Move at startup pace while maintaining high standards—ship features rapidly, gather feedback, iterate quickly, but never compromise on code quality or customer experience What You Need to Be Successful: * Proven Full Stack Product Experience: 6+ years building production applications with strong command of both front-end and back-end development—you must be genuinely skilled at both, not primarily one with dabbling in the other * Strong TypeScript and React Expertise: Deep, hands-on experience with TypeScript and React (or other modern component-based frameworks) in production environments, with strong understanding of component architecture, performance optimization, and modern patterns * Performant RESTful API Development: Proven track record building performant RESTful APIs with server-side frameworks, with experience designing scalable API architectures, optimizing endpoint performance, and building maintainable backend services * B2B SaaS Background: Direct experience in B2B SaaS product companies where you've built features for business users, understanding the unique requirements of enterprise product development and customer-facing applications * Database Performance Intuition: Strong understanding of database interactions and query optimization—you instinctively know when a query might blow up and how to structure data access for performance at scale * Startup Velocity Mindset: Thrives in fast-paced, ambiguous environments with bias for action—you "just go get it, go do it" without waiting for perfect specs, comfortable making pragmatic technical decisions quickly * Attention to Detail with Speed: Exceptional balance of moving fast while caring deeply about customer experience and code quality—you build things right the first time while maintaining velocity * Collaborative Independence: Comfortable working autonomously and owning your work end-to-end, while also collaborating effectively with designers, product managers, and other engineers when needed * Nice to Haves: * Python and FastAPI experience for our backend stack * Kubernetes/EKS experience for understanding our deployment environment and infrastructure * Temporal workflow orchestration experience for complex, distributed workflows * PostgreSQL optimization skills and experience with database performance tuning at scale * Experience integrating LLMs into applications, understanding how to build AI-powered features into production products * Experience with our specific front-end stack: TailwindCSS, TanStack ecosystem (Router, Query, Table), shadcn/ui, Radix UI * Infrastructure knowledge and comfort working with cloud platforms or infrastructure-as-code tools * Design system or component library development experience * Background at technical B2B SaaS companies where product velocity and customer experience were primary drivers Why Join Us: * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cybersecurity today. You'll be building the product experiences that security teams interact with daily, creating intuitive interfaces for breakthrough AI-powered solutions. * Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Impactful Work: Cybersecurity is a force for good - helping to stop cyber attacks ultimately helps deliver better outcomes for all of us. Your work will directly enable security teams to protect organizations worldwide from real threats. * Build an AI-Native Company: We're building a new company in the AI era with the opportunity to design everything from the ground up - you'll work with a modern, carefully chosen tech stack and help establish engineering practices that scale with us through hypergrowth. * Technical Ownership and Growth: True end-to-end ownership with your own API layer, freedom to make architectural decisions, and opportunity to grow into front-end architectural leadership as we scale the team and product.

SUMMARY OF THE ROLE: As a Security Research Engineer at Maze, you'll be at the forefront of defining what constitutes real security risk in the age of AI-powered vulnerability detection. This is a unique opportunity to join our growing security research team at a well-funded startup building at the intersection of generative AI and cybersecurity, where your security expertise directly shapes how our AI models understand and prioritize cloud security threats. You'll spend the majority of your time as the expert human-in-the-loop, analyzing cloud vulnerability findings from our AI systems, conducting deep research to validate and contextualize threats, and creating the authoritative labels that train our models to distinguish critical risks from noise. Working alongside other security researchers, you'll help scale our labeling operations while providing critical input into product development decisions based on real-world threat patterns you discover. This role is perfect for a security researcher who wants to pioneer the future of AI-assisted threat detection, loves diving deep into cloud security vulnerabilities, and wants to see their security insights amplified through cutting-edge technology while contributing to a growing team. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Scale Expert Data Labeling Operations: Lead high-volume vulnerability labeling and validation work as the authoritative voice on threat severity, reviewing and categorizing cloud security findings from our AI models to create the high-quality training data that powers our platform * Drive Product Development Through Research Insights: Translate patterns and insights from your labeling and research work into actionable product improvements, working directly with engineering and product teams to enhance detection capabilities and user experience * Collaborate with Security Research Team: Work closely with fellow Security Research Engineers to maintain consistency in labeling standards, share research findings, and collectively improve our vulnerability assessment methodologies * Deep Vulnerability Research: Conduct comprehensive research into cloud vulnerabilities affecting EC2 images, Docker containers, and cloud infrastructure, investigating true/false positives, analyzing business impact, and building proof-of-concepts to validate threat scenarios * Enhance AI Model Accuracy: Provide expert feedback through our labeling tools that improves our AI models' understanding of vulnerability context, helping them learn to prioritize threats like a seasoned security researcher * Technical Investigation and Analysis: Create detailed technical writeups about exploitation techniques, attack vectors, and remediation strategies for cloud vulnerabilities, turning complex security research into actionable intelligence * Leverage External Security Intelligence: Integrate insights from CVE databases, security advisory feeds, and threat intelligence sources to enrich vulnerability findings with broader context and emerging threat patterns * Contribute to Thought Leadership: Support our external presence through technical blog posts, security videos/podcasts, and occasional conference presentations, sharing insights from your research WHAT YOU NEED TO BE SUCCESSFUL: * Security Research Expertise: 5+ years of hands-on security experience with proven vulnerability research background, comfortable investigating complex security issues and building proof-of-concepts to validate findings * Cloud Security Mastery: Deep knowledge of AWS security, cloud infrastructure vulnerabilities, container security, and cloud-native attack vectors, with hands-on experience securing cloud environments at scale * Technical Investigation Skills: Strong coding and scripting abilities (Python, Go, or similar) for automating research tasks, building validation tools, and creating proof-of-concept exploits * Analytical Excellence: Proven ability to analyze complex security data, distinguish between critical threats and false positives, and communicate technical findings to both technical and business audiences * Product Mindset: Experience translating security insights into product requirements, with ability to identify patterns across vulnerabilities that inform strategic product decisions * External Intelligence Integration: Experience working with vulnerability databases, security advisory feeds, and threat intelligence sources to contextualize and prioritize security findings * Collaborative Mindset: Strong communication skills and ability to work effectively with security research peers, AI/ML teams, and product stakeholders, translating security domain knowledge into actionable improvements * High-Volume Execution: Comfort with systematic labeling work while maintaining accuracy and attention to detail, balancing speed with quality in fast-paced environments * Nice to haves: * Experience with AI/ML security or working with AI-generated security findings * Background at security tooling companies or building security products * Expertise in specific vulnerability research methodologies and frameworks * Open source contributions to security tools or research projects * Previous content creation experience in security (blogs, talks, research papers) * Industry certifications (CISSP, OSCP, AWS Security, etc.) WHY JOIN US: * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cloud security today. You'll be defining how AI understands and prioritizes vulnerabilities, working at the cutting edge of AI-powered threat detection. * Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Growing Security Research Function: Join a collaborative security research team where you'll work alongside other experts, share insights, and collectively shape how our AI platform understands security threats at scale. * Impactful Work: Your security research and labeling work will directly improve how thousands of organizations understand and respond to cloud security threats, scaling expert security knowledge through AI to protect the entire ecosystem. * Product Influence: Your day-to-day research insights will directly influence product strategy and development, giving you a voice in building the next generation of AI-powered security tools. * Pioneer AI-Native Security: Help establish the gold standard for AI-assisted vulnerability research, defining how human security expertise enhances machine learning models in the cybersecurity domain.