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Principal AI Success Manager
Optimize every customer touchpoint using AI-powered decisioning that selects the best channel, offer, and timing for marketing teams to drive bottom-line growth.
Benefits:
Competitive compensation including equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans
Professional development and learning stipend
Education Requirements:
MBA, or other higher degree (masters or PhD) in relevant business, finance, or analytical field
Experience Requirements:
At least 4-5 years of management consulting experience
Work experience in data science, computer science, or math/analytics is a plus
Other Requirements:
Commercially accountable operator with ability to deliver retention targets
Skilled at drawing insights from raw data and running SQL analyses
Exceptional executive-ready communicator
Structured and disciplined in documentation
Responsibilities:
Act as commercial owner for the end-to-end customer lifecycle
Teach customers key AI and marketing experiment concepts
Build business cases and ROI forecasts based on data extracted from BrazeAI
Manage executive-level relationships as a trusted strategic partner
Design, execute, and optimize BrazeAI use cases
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ML Data Engineer
Generate professional-grade vector art, icons, and branded images with an AI model designed for designers, featuring an infinite canvas and precise controls.
Benefits:
Competitive salary and equity
Skilled Worker visa sponsorship in the UK
Real impact on model quality
Ownership with support
Growth in a fast-moving environment
Experience Requirements:
Strong Python fundamentals
Solid hands-on Kubernetes experience
Proven track record with unstructured data, especially images
Experience developing data-ingestion or parsing tools
Comfort with S3/object storage
Other Requirements:
Familiarity with ML workflows (PyTorch)
Experience with image quality scoring, captioning, or image-to-text pipelines
Pragmatic, detail-oriented, ownership mindset
DevOps fluency: Docker, CI/CD, infra automation
Responsibilities:
Develop and maintain data-ingestion pipelines for large-scale image datasets
Own the end-to-end flow from raw data to ready-to-train artifacts
Operate and improve Kubernetes-based data-pipeline framework
Work with S3-style object storage for efficient layouts
Add tooling around pipelines for observability and faster iteration
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Junior Machine Learning Engineer
Generate professional-grade vector art, icons, and branded images with an AI model designed for designers, featuring an infinite canvas and precise controls.
Benefits:
Hands-on experience in AI and machine learning
Mentorship from experienced ML engineers and researchers
Opportunity to work on real-world AI projects
Collaborative and innovative environment
Education Requirements:
Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field
Experience Requirements:
Reliable Python coding skills
Knowledge and understanding of foundational deep learning concepts
Experience with data preprocessing and model evaluation
Other Requirements:
Familiarity with MLOps tools is a plus
Strong analytical skills
Ability to work in a collaborative, fast-paced environment
Responsibilities:
Assist in training, testing, and evaluating machine learning models
Support data collection and processing for model development
Conduct experiments and model evaluations
Develop and train large-scale generative models
Implement AI techniques into production workflows
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ML Research Engineer
Generate professional-grade vector art, icons, and branded images with an AI model designed for designers, featuring an infinite canvas and precise controls.
Benefits:
Competitive salary and equity
Opportunities for professional growth and leadership
Collaborative, research-driven environment
Work on cutting-edge AI projects
Contribute to open-source AI research and publications
Experience Requirements:
Proven experience in training large-scale generative models
Expertise in evaluating generative models
Strong proficiency in PyTorch
Hands-on experience building end-to-end machine learning pipelines
Strong software engineering skills
Other Requirements:
Familiarity with state-of-the-art neural network architectures
Responsibilities:
Develop and train large-scale generative models
Design and run experiments to refine model architectures
Analyze results and implement data-driven improvements
Develop and deploy new features that enhance user experiences
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Unity Engineer, Music (Contractor)
Master new languages through bite-sized, gamified lessons tailored to your pace using AI-driven personalization for students, travelers, and lifelong learners.
Benefits:
Meaningful work
Limitless learning opportunities
Collaboration with world-class minds
Experience Requirements:
Strong experience with Unity development (C#), specifically for mobile platforms (iOS/Android)
Background in the gaming industry with a portfolio demonstrating high-quality game feel and polish
Sharp UX instincts and experience implementing complex UI/UX designs
Experience working effectively with multi-functional team members
Other Requirements:
Strong interest in Duolingo and our mission
Experience embedding Unity as a library (UaaL) into native mobile applications
Background in music, music theory, or audio programming
Experience in web/mobile localization workflows and tools
Responsibilities:
Implement the new music course within the Duolingo app using embedded Unity
Productionize the existing prototype, turning it into robust, release-ready code
Work embedded within the Duolingo app architecture to ensure seamless integration of Unity
Collaborate with designers and product partners to refine the look and feel
Engage in rapid prototyping to test new music mechanics and interaction models
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Devops Engineer
Accelerate enterprise development with an on-premise AI coding agent that handles complex refactors, bug fixes, and feature requests in air-gapped environments.
Benefits:
Equity / share options
30 days’ holiday + bank holidays
Daily lunch provided
Monthly team breakfasts
Pension
Experience Requirements:
5+ years building and operating production infrastructure on a major cloud
Significant hands-on experience running Kubernetes in production
Deep experience with IaC tools (Pulumi, Terraform, CDK)
Owned the uptime and performance of user-facing systems
Strong scripting and programming skills
Other Requirements:
Startup mindset
Bias toward pragmatic solutions
Clear communication and collaboration skills
Responsibilities:
Own core infrastructure (Kubernetes, cloud resources)
Build the deployment & tooling layer (CI/CD, IaC)
Own reliability & operations (SLOs/SLIs, observability, on-call)
Shape networking & security (VPCs, IAM, service meshes)
Partner with product & research teams
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Machine Learning Engineer – Lumen Enterprise Models (SWE-focused LLMs)
Accelerate enterprise development with an on-premise AI coding agent that handles complex refactors, bug fixes, and feature requests in air-gapped environments.
Benefits:
Equity / share options
30 days’ holiday + bank holidays
Daily lunch provided
Monthly socials
Pension
Experience Requirements:
3–5+ years working as an ML engineer / applied scientist
Deep proficiency with PyTorch and its distributed primitives
Experience training models at ≥70B parameters
Experience with SFT and RL on top of LLMs
Strong software engineering background
Other Requirements:
Distributed systems / training ops experience
Data engineering instincts
Clear communication and ownership
Responsibilities:
Turn open-source base models into high-performance SWE agents
Design and run large-scale training experiments
Build and iterate on large-scale RL loops
Operate large multi-node training jobs
Improve evaluation for SWE models
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Product Engineer
Accelerate enterprise development with an on-premise AI coding agent that handles complex refactors, bug fixes, and feature requests in air-gapped environments.
Benefits:
Equity / share options
30 days’ holiday + bank holidays
Daily lunch provided
Monthly team breakfasts
Pension
Experience Requirements:
5+ years of experience building production-grade software
Experience building reactive, highly interactive applications (React, Svelte, Vue)
Experience designing and consuming REST APIs
Experience working with developer tooling
Strong experience with TypeScript
Other Requirements:
Comfortable iterating quickly
Ability to operate in a fast-moving environment
Care deeply about developer experience
Responsibilities:
Build end-user products (editor extensions and web applications)
Enable developers to use advanced language models
Collaborate closely with research to validate new experiences
Translate emerging model capabilities into features
Maintain high bar for performance and reliability
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Software Engineer, Cloud Infrastructure at Cosine
Accelerate enterprise development with an on-premise AI coding agent that handles complex refactors, bug fixes, and feature requests in air-gapped environments.
Benefits:
Equity / share options
30 days’ holiday + bank holidays
Daily lunch provided
Monthly socials
High-quality equipment
Experience Requirements:
5+ years of experience developing or operating core infrastructure
Experience running large-scale orchestration systems such as Kubernetes
Experience building abstractions and tooling on major cloud platforms
Other Requirements:
Comfortable working in a fast-moving environment
Values rigorous thinking and open communication
Responsibilities:
Design and build development and production platforms
Ensure infrastructure can scale to next order of magnitude
Contribute to a culture of diversity and open communication
Participate in the on-call rotation
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Senior Growth Operator
Automate AEC project workflows with industry-specific AI for meeting minutes, field reports, and RFP reviews tailored for architects, engineers, and builders.
Benefits:
Competitive pay
Fully remote with European off-sites
38 paid days off annually
Personal development stipend
Health insurance optionally available
Experience Requirements:
3+ years of experience bringing software to market
Track record of individual achievement in Growth, Sales, or Marketing
Other Requirements:
Working in GMT +/- 3 timezone
Experience with AI automation
Strong writing ability and fluency in English
Basic coding experience
Good design skills
Responsibilities:
Building AI systems for scalable growth experiments
Creating high-quality content for the AEC industry
Designing assets for content and conferences
Growing the AI-driven industry newsletter
Scaling outbound email campaigns
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Sales & Solutions Strategist
Optimize the full talent lifecycle with AI-driven automation for recruitment, internal mobility, and workforce planning in complex enterprise environments.
Benefits:
healthcare
pension contributions
professional development budget
fully remote work options
Experience Requirements:
5+ years in sales
5+ in enterprise roles
Ideally in SaaS or HR tech
HR technology knowledge
Other Requirements:
Consultative Selling
Communication Skills
Technical Acumen
Adaptability
Emotional Intelligence
Responsibilities:
Collaborate with the CEO and Product & CS teams to design a pre-packaged EVA instance
Define pricing, margins, and market positioning
Conduct market analysis to identify low-hanging fruit
Lead the full sales cycle for mid-market clients
Achieve quarterly revenue targets
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Project Implementation Manager
Optimize the full talent lifecycle with AI-driven automation for recruitment, internal mobility, and workforce planning in complex enterprise environments.
Experience Requirements:
Solid experience in the SaaS industry
Proven expertise in project planning
Risk management experience
Other Requirements:
Team player
Problem-solving skills
Proficient in client onboarding
Communication and interpersonal skills
Responsibilities:
Act as a trusted advisor to clients
Manage project scoping, timelines, and deliverables
Communicate project progress to stakeholders
Address and resolve Level 1 & Level 2 Severity Issues
Adapt software solutions to meet specific client requirements
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Customer Success Manager
Optimize the full talent lifecycle with AI-driven automation for recruitment, internal mobility, and workforce planning in complex enterprise environments.
Experience Requirements:
Experience working in small, fast-paced teams
Previous experience in the SaaS tech industry
Other Requirements:
Customer-centric approach
Strong project planning and management skills
Responsibilities:
Deliver exceptional customer support
Foster relationships with VIP clients
Identify opportunities for upselling software products
Act as the go-to person for escalated issues
Create and organize training resources
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Account Executive, Enterprise, UK - London
Build tailored AI systems with high-performance open-source models and private deployment options for developers and enterprises seeking data sovereignty.
Benefits:
Competitive cash salary and equity
Food : Daily lunch vouchers
Sport : Monthly contribution to a Gym pass subscription
Transportation : Monthly contribution to a mobility pass
Health : Full health insurance
Education Requirements:
Bachelor and/or Master Degree in Business, Computer Science, or a related field
Experience Requirements:
7-10 years experience in Sales
Significant work experience within AI ecosystem
Experience at successful fast growing startup
Other Requirements:
Excellent English & French
Strong technical skills
Outstanding negotiation and communication skills
Responsibilities:
Lead development
Value prop validation for customer
Deal management & closing
Executive Engagement
Technical Aptitude
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Speculative Application
Master real-world language skills with native speaker videos and a private AI coach. Perfect for travelers and professionals wanting to sound like a local fast.
Benefits:
Healthcare and pension
Discounts on gym, opticians, and dentists
Fresh fruit, coffee, and soft drinks
Weekly team language lunches and lessons
Team expeditions
Education Requirements:
Strong interest in languages
Speak at least a couple of languages
Experience Requirements:
Experience with mobile apps and games
Other Requirements:
Humility
Genuine excitement about working with Memrise
Character as much as talent
Responsibilities:
Send a copy of your CV
Outline your superpowers (skills)
Outline why you would like to work or intern at Memrise
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Channel Manager - Reseller Partners
Accelerate fashion go-to-market by 30-50% with hyper-realistic AI models and 3D digital twins that replace physical samples for wholesale and e-commerce.
Experience Requirements:
5+ years of experience in Channel Sales, Partner Management, or Business Development, ideally within B2B SaaS, fashion tech, or design software
Experience in enterprise SaaS is a plus
Other Requirements:
Proven success managing reseller or distribution channels across the globe
Strong contracting, negotiation, and relationship-building skills
Detail-oriented and able to balance multiple responsibilities and tasks while meeting deadlines
Able to act and operate independently with minimal daily direction to accomplish objectives
Able to work cooperatively and collaboratively with all levels of employees
Responsibilities:
Develop and execute strategies to expand our reseller and channel partner network across the globe
Train, onboard, and continuously support resellers to effectively position and sell our Digital Fashion solutions
Lead reseller contract discussions, renewals, and negotiations in alignment with company policies and revenue goals
Work closely with marketing and product teams to build co-marketing campaigns, launch programs, and go-to-market initiatives
Set sales targets for partners, track performance metrics, and ensure accountability to revenue and brand goals
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Channel Manager - Reseller Partners
Accelerate fashion go-to-market by 30-50% with hyper-realistic AI models and 3D digital twins that replace physical samples for wholesale and e-commerce.
Experience Requirements:
5+ years of experience in Channel Sales, Partner Management, or Business Development, ideally within B2B SaaS, fashion tech, or design software
Experience in enterprise SaaS is a plus
Other Requirements:
Proven success managing reseller or distribution channels across the globe
Strong contracting, negotiation, and relationship-building skills
Detail-oriented and able to balance multiple responsibilities and tasks while meeting deadlines
Able to act and operate independently with minimal daily direction to accomplish objectives
Able to work cooperatively and collaboratively
Responsibilities:
Develop and execute strategies to expand our reseller and channel partner network across the world
Train, onboard, and continuously support resellers to effectively position and sell our Digital Fashion solutions
Lead reseller contract discussions, renewals, and negotiations in alignment with company policies and revenue goals
Work closely with marketing and product teams to build co-marketing campaigns, launch programs, and go-to-market initiatives
Set sales targets for partners, track performance metrics, and ensure accountability to revenue and brand goals
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Senior Software Engineer
Accelerate AI delivery with an AutoML platform that runs 50,000+ experiments weekly, helping data scientists move from raw data to production apps in weeks.
Benefits:
Medical Insurance
Pension
Flexi-working
Share Options
Experience Requirements:
Senior level experience
Proficiency in Python or expert in another language
Experience of testing, committing and deploying good code
Other Requirements:
Take pride in producing great work
Be approachable and enjoy helping others
Passion for complex problem solving
Objective about collaborative design
Responsibilities:
Lean/experimental approach to iterative feature development
Developing features from weekly task reviews
User facing feature creation
Architecture and infrastructure management
Assisting team members
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Deployed Engineer - UK
Accelerate your development cycle with an agentic AI IDE that masters codebase context, automates complex terminal tasks, and predicts your next coding moves.
Experience Requirements:
Strong engineering foundation from a rigorous technical environment
Demonstrated track record of exceptional performance
Experience writing and debugging real software systems
Other Requirements:
Willingness to travel 25–50%
Advanced in at least one modern programming language (e.g., Python, TypeScript)
Strong communication skills
Responsibilities:
Own all technical aspects of the customer lifecycle—from deployment through activation
Work closely with customers to understand technical challenges
Build deep relationships with customers’ engineering teams
Implement requested features based on customer feedback
Exercise product instincts to help set the roadmap
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Partner Deployed Engineer - London
Accelerate your development cycle with an agentic AI IDE that masters codebase context, automates complex terminal tasks, and predicts your next coding moves.
Education Requirements:
Degree in STEM field
Experience Requirements:
Experience working with or alongside large engineering teams
Experience writing, debugging, and deploying real production systems
Other Requirements:
Willingness to travel 25–50%
Advanced in at least one modern programming language (e.g., Python, TypeScript)
Strong communication skills
Responsibilities:
Own the technical success of GSI partners across onboarding, enablement, and scaled delivery
Enable partners to build repeatable solutions and reference architectures
Lead technical trainings and workshops for partner teams
Support partner-led customer pilots and early production deployments
Capture field learnings and partner feedback to influence product roadmap
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