Benefits:

• Flexible PTO so you can recharge without red tape.

• Competitive compensation: We pay well and back it with equity - we want you to think and act like an owner.

• Career rocket fuel: You'll help build the foundation of a high-growth startup, working side by side with experienced founders and team members who've done it before.

• A seat at the table: We believe in transparency, radical candor, and giving every team member a voice 🔥

Experience Requirements:

• 1–2 years of experience in UX/UI or digital product design (internship, freelance, or entry-level roles welcome)

• Strong working knowledge of Figma (Auto Layout, variants, components, tokens)

• Detail-oriented and organized - you maintain consistency across files, states, and use cases

• Comfortable taking direction, iterating quickly, and incorporating feedback

• A proactive communicator who collaborates well with product, design, and engineering

Other Requirements:

• Interest in learning design systems and scaling visual languages

Responsibilities:

• Build and maintain a scalable UI library and component system for Baselayer’s product

• Create and document reusable components, variants, and styles in Figma

• Collaborate with design and engineering to ensure visual and functional consistency across the platform

• Audit existing designs and update or refine components as needed

• Develop lightweight documentation for handoff and system usage

Benefits:

• High Growth Environment: Be part of a fast-scaling company at the forefront of digital learning.

• International Reach: Work with a diverse, cross-border team across France, the UK, and Portugal.

• Impactful Mission: Help reshape how people learn and grow at work.

• Collaborative Culture: We blend innovation with care—for our clients, learners, and each other.

Experience Requirements:

• 8+ years of experience in B2B marketing, including at least 3 in a SaaS or tech environment.

• Proven track record of driving pipeline growth through high-performing multi-channel campaigns.

• Expertise in account-based marketing (ABM), SEO/SEA, content, and CRM (HubSpot essential).

• Strong analytical mindset; confident managing performance dashboards and KPIs.

• Leadership experience: able to inspire, structure, and scale a marketing team in a high-growth setting.

Other Requirements:

• Excellent communication in English (written and spoken).

• French is a plus.

Responsibilities:

• Define and execute a full-funnel growth strategy (inbound, outbound, ABM) to drive pipeline and revenue.

• Design and oversee data-driven campaigns aligned with key buyer personas.

• Lead our brand positioning and messaging across all channels.

• Manage and mentor a growing international team of 5 across France and the UK.

• Coordinate work with external partners and agencies (SEO, SEA, creative, etc.).

Experience Requirements:

• 5+ years’ experience as an individual sales contributor, working with B2B enterprise software

• Understanding of US software channel partner landscape, ideally within public safety / public sector vertical

• Demonstrable experience in all aspects of sales process – driving new business, establishing routes to market, nurturing existing business to hit growth targets

• Demonstrable commercial skills – flexibility in commercial models, business case management, commercial proposals

• Excellent relationship building and influencing skills – internal teams, cross functional engagement with channel partners, influencing end customer engagement

Other Requirements:

• Strong collaboration ethic to be able to bring different parties together to meet end customer demand

• Excellent verbal, written, and presentation skills

Responsibilities:

• Deliver $ARR for territory in target sectors – role is an individual contributor, closing direct and indirect opportunities

• Pipeline generation and forecasting for territory

• Identify high-potential sales leads through targeted outreach strategies

• Implement effective prospecting techniques to generate leads and drive revenue growth within the assigned territory

• Drive product adoption, net-new product sales, and client retention

Experience Requirements:

• Proven experience working as a DevOps Engineer or in a similar role.

• Hands-on experience with Kubernetes for deploying and managing containerized applications in a production environment.

• Proficiency with Terraform for managing cloud infrastructure as code.

• Experience with AWS or Azure.

• Experience with GitOp practices, e.g. ArgoCD.

Other Requirements:

• Experience with networking/service meshes, e.g. Istio.

• Familiarity with ML Ops.

Responsibilities:

• Design, build, and maintain our infrastructure using Terraform.

• Deploy, manage, and scale containerized applications on Kubernetes on AWS and Azure.

• Develop and enhance our CI/CD pipelines for automated builds, testing, and deployments.

• Implement and manage robust monitoring, logging, and alerting solutions to ensure system health and performance (e.g., Prometheus, Grafana).

• Collaborate closely with development teams to optimise application performance, security, and scalability.

Education Requirements:

• Preparing a Bac +5 degree in business school, growth hacking, Marketing or equivalent university.

Experience Requirements:

• A first experience in prospecting, growth or digital marketing is a plus.

Other Requirements:

• Curious, proactive and comfortable with digital tools (LinkedIn, HubSpot, Apollo, Lemlist, Notion, etc.)

• Likes to communicate, analyze and test new approaches

• Entrepreneurial spirit and the desire to contribute to the growth of a high-impact startup

• A good level of English is essential (international environment).

Responsibilities:

• Identify and qualify new prospects via different channels (LinkedIn, email, calls, events).

• Deploy targeted multi-channel prospecting campaigns.

• Schedule and organize appointments for the sales team.

• Design growth hacking strategies to generate qualified leads.

• Analyze campaign performance and track KPIs (click-through rate, conversion, ROI).

Education Requirements:

• BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

• 3+ years of leading complex teams with multiple management layers

• Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches

• Domain knowledge: neural net understanding/introspection and/or validation

• Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation

• Execution skills: resource allocation, program planning and execution

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised

• Design and grow a Validation engineering organisation covering model releases and system level validation

• Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests

• Find architectural and implementation gaps throughout our systems

• Drive requirements into our tooling development – simulators, generative AI, scenario understanding

Experience Requirements:

• 2+ years of engineering management experience in data, ML, or perception domains

• Proven experience designing and scaling ML or data processing systems in production

• Strong systems thinking across latency, throughput, observability, and robustness

• Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks)

• Track record of delivering high-quality engineering outcomes in complex domains

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains

• Define and scale data enrichment pipelines, including semantic segmentation and cuboid annotation

• Set and drive quality and throughput goals for all enrichment outputs

• Drive architecture decisions that ensure robustness, efficiency, and scalability

• Partner with infra and platform teams to productionize enrichment systems

Experience Requirements:

• Demonstrated ability to build, manage and grow high-performing Machine Learning Engineering teams

• Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth

• Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap

• Prioritise effectively, implement and maintain lean and effective team processes

• Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Lead technical discussions and guide technical direction where needed

Experience Requirements:

• 2+ years experience leading high-performing engineering teams

• Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure

• Experience with vector similarity search, ANN algorithms, or semantic retrieval systems

• Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go); familiarity with data stack components like Spark, Ray, Databricks

• Comfort working with ML workflows or embedding-based pipelines

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems

• Define the technical architecture for embedding-based retrieval, metadata-based querying, and multi-modal index structures

• Establish engineering rituals (planning, standups, retros) and team delivery rhythm

• Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows

• Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale

Experience Requirements:

• Proven track record of managing high-performing machine learning engineering teams

• Strong understanding of generative AI, including experience with model training and deployment

• Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables

• Demonstrated ability to guide the development and operationalisation of ML models, with attention to model lifecycle, reliability, and performance

• Track record of promoting software engineering and ML Ops best practices within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and drive the engineering roadmap for synthetic data generation using generative AI

• Lead technical discussions across research and engineering, and guide architectural and implementation decisions across model training, deployment, and data delivery pipelines

• Set effective KPIs and metrics to evaluate model quality, generation throughput, coverage, and overall impact on system evaluation

• Build scalable, reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where investment is needed, and grow the team as hiring manager

• Prioritise effectively, implement and maintain lean, ML-ops friendly team processes that support both iterative model development and robust internal tool delivery

Experience Requirements:

• Proven track record of managing engineering teams

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

• Demonstrated ability to manage software engineers and grow their careers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed

• Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact

• Understand Wayve’s end-to-end approach and how it maps to AV 1.0

• Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system

• Drive cross-functional initiatives through effective communication

Experience Requirements:

• Strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Education Requirements:

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Experience Requirements:

• Strong understanding of modern browser APIs, familiarity with frameworks such as React or Angular, and TypeScript

• Comfortable working in Linux environments, proficient in Rust or C++

• Comfortable designing and maintaining systems end-to-end, including architecture, testing, deployment, and monitoring

• Ability to deliver pragmatic, high-quality solutions under evolving requirements, balancing short-term needs and long-term sustainability

• Skilled at working closely with cross-functional partners and communicating technical concepts clearly and effectively

Other Requirements:

• A focus on building products that deliver real impact for users in real-world environments

• Enthusiasm for robotics, autonomous systems, or mobility innovation

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Own system design and delivery: Design, implement, and maintain critical fullstack systems for the onboard experience

• Develop robust frontend and backend features: Build user interfaces in React/TypeScript and backend services in Rust

• Ensure reliability and observability: Establish metrics, logging, and testing practices

• Collaborate across disciplines: Work with engineers and designers to translate user and operational needs into elegant technical solutions

• Contribute to technical excellence: Uphold high standards for code quality, architecture, and documentation

Other Requirements:

• Great English with great communication skills

• Wants to be a part of a rapidly growing startup and become a core part of the team

• Loves to build fast and ship fast

Responsibilities:

• Product Messaging

• Create product-centric content that educates and resonates with our users.

• Lead the execution of go-to-market strategies for new product launches and feature updates.

• Utilize competitive insights to refine product messaging and positioning.

• Develop sales collateral, product training materials, and sales scripts to equip our sales team.

Experience Requirements:

• Front End: 5+ years experience in React JS + React Hooks

• Back End: 5+ years experience in MySQL (or Postgres SQL)

• Back End: 4+ years experience in NodeJS

• Experience with Firebase/Firestore

• Experience in React-Query

Other Requirements:

• Great English with great communication skills

• Wants to be a part of a rapidly growing startup and become a core part of the team

• Loves to build fast and ship fast

Responsibilities:

• Developing the core product as well as new products, in short sprints

• Monitoring production and building an infrastructure to help track ongoing issues

• Willingness and availability for occasional on-call and production urgent issues, as well as communicating with users as needed

Benefits:

• Work with cutting-edge technologies and revolutionise workflows in Data+AI solutions.

• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.

• Grow personally and professionally in a culture that values curiosity and continuous learning.

Education Requirements:

• B.Tech or equivalent bachelor ’s degree in computer science.

Experience Requirements:

• 5 years.

• Experience with using ITIL software for incident management eg: ServiceNow, FreshDesk, BMC.

• Knowledge of the Incident/Ticket management process.

• Experience working with REST API and hands on experience in using API clients like POSTMAN.

• Experience with one or more programming/scripting languages.For example, some knowledge of Kubernetes, angular js, node js. MongoDB, Linux Etc.

Responsibilities:

• Investigate and identify solutions to raise support incidents.

• Diagnose and troubleshoot technical issues.

• Track tickets through to resolution, within agreed SLA.

• Properly escalate unresolved issues to appropriate internal teams.

• Document all issues and their solutions to help future efforts in the design and implementation of our software products.

Benefits:

• Highly competitive salary

• Flexible working hours

• Awesome team events from going to conferences together to joint workations and offsites once a year at a sunny location

• Opportunity to have a high and lasting impact on product, company and people

• A place where you are valued not only for you expertise but also as a human as part of a team where most consider each other not only to be a colleagues but friends

Experience Requirements:

• 3–5 years of hands-on experience with Python and TypeScript

• Deep familiarity with the Windows ecosystem

• Skilled in setting up CI/CD pipelines

• Proficient in building and managing Docker images

• Experience with cloud providers such as AWS, Google Cloud, or Azure

Other Requirements:

• Bonus: Exposure to Mac and Linux environments

• Comfort with virtualization platforms: VMware ESXi, Proxmox, or Windows Hyper-V

• Experience in automation frameworks and testing tools: Playwright or .NET testing frameworks

• BDD (Behavior-Driven Development)

• XRay integration

• Browserstack

Responsibilities:

• Design Intelligent Automations

• Integrate AI Workflows

• Custom Solution Engineering

• Train & Enable

• Real-World Feedback Loop