Build and ship product features that bring modern AI tools into user-facing apps, internal operations tools and backend services on a multi-sided platform.
Compensation
Base salary: USD 140,000 to 200,000 per year
Responsibilities
Apply existing AI tooling and models across customer-facing apps, internal operations tools and the platform to automate manual steps.
Guide work across client-side and server-side code while coaching fellow engineers.
Design and build real-time matching, automated screening flows, distributed systems and APIs.
Own product areas from design through delivery, working alongside product and design partners.
Work with the CTO on technical architecture and product roadmap.
Requirements
Computer Science or other technical degree from a top-ranked university
Nice to have: breadth of experience across multiple domains such as marketplaces, matching systems, multi-sided platforms or operationally complex industries
Lead product security engineering activities, guiding product divisions to identify, assess, and mitigate security vulnerabilities in software and hardware products.
Compensation
Salary up to £60,000 depending on experience.
Responsibilities
Assess, establish and maintain clear guidelines and best practices for secure coding, vulnerability management, and incident response
Develop and maintain product security risk assessment processes, providing support and guidance to project teams
Develop scanning and review processes to discover security vulnerabilities and devise mitigation strategies, as well as report and resolve technical debt
Serve as a Subject Matter Expert (SME) in product security for projects during development phases, providing information security consulting and recommendations, and ensuring the implementation of approved security requirements
Collaborate with developers and their teams to ensure security is integrated at every stage of the software development lifecycle
Requirements
Bachelor’s / Master’s degree – or equivalent work experience – in Computer Science, Information Security, Business, or a related field
Nice to have: experience securing hardware products controlled by software
Nice to have: applying AI to security and development use cases
A highly technical individual contributor responsible for leading the technical strategy and execution of complex, high-value opportunities across EMEA, acting as a trusted technical authority for customers and internal product teams.
Responsibilities
Lead the technical presales motion for strategic and enterprise opportunities.
Own technical discovery, solution design, validation, and the technical win.
Advise customers on architecture, security requirements, integrations, risks, and technical trade-offs.
Communicate credibly with both technical practitioners and executive stakeholders.
Identify and remove technical blockers before they impact deal progression.
Lead end-to-end product design for a core product area in a hybrid role based in Kraków, Poland, driving discovery, research, and design system contributions.
Responsibilities
Own end-to-end design for product area
Translate complex enterprise security workflows into clear experiences
Run and synthesize UX research
Collaborate with product managers and engineers
Contribute to design system patterns and documentation
Requirements
Nice to have: Experience in security, identity, or compliance software
Nice to have: Design systems governance
Nice to have: Presenting to non-design stakeholders
Design, scale, and modernize the learning infrastructure for short-term rental operations and executive functions using generative AI and instructional design principles.
Locations (5)
United Kingdom
Mexico
Brazil
Argentina
Chile
Compensation
Competitive compensation, paid twice a month - dependent on experience & location
Partner with operational SMEs to capture tacit knowledge and define learning objectives
Conduct needs assessments to pinpoint friction points in guest review scores, SLA compliance, and onboarding speed
Translate complex operational tasks into structured curriculum maps and learning journeys
Utilize generative AI tools to draft course outlines, script scenarios, build audio/video avatars, and generate contextual imagery
Design engaging multi-modal learning assets including e-learning modules, microlearning videos, quick-reference checklists, roleplay simulations, and digital job aids
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