Benefits:

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits package.

• Opportunities for professional growth and development.

• A dynamic and innovative work environment.

• Access to premium sporting events and exclusive experiences.

Experience Requirements:

• 10+ years of experience in the creative industry (likely advertising, brand, or experiential agencies), with at least 3 years as a creative leader.

• A portfolio that proves you can think big, ideas that sparked conversation, earned media, and recognized at major award shows (like, Cannes, One Show, Clio, D&AD, etc.).

• Strong track record working with sports brands, leagues, or cultural properties.

• Deep understanding of integrated storytelling, traditional, digital, social, experiential, and everything in between.

• Hands-on creative ability, from crafting pitch decks and writing scripts to directing shoots or designing event experiences.

Other Requirements:

• Comfort working within fast-moving, cross-functional organizations. You can collaborate with marketing, production, partnerships, and executives with ease.

• A self-starter mindset with strong creative instincts, problem-solving skills, and ownership mentality.

• Knowledge of social media platforms, influencer marketing, gifting programs and digital content strategies for events.

• Experience with immersive event technology (AR/VR, interactive installations, etc.).

Responsibilities:

• Concept & Lead: Develop big, attention-grabbing ideas that break through culture, but don’t have to break the budget.

• Collaborate Across Fanatics: Partner with internal teams (Social, Collectibles, Sportsbook, Commerce, and Athlete Partnerships, amongst others) to bring ideas to life.

• Own the Process: Drive creative from idea through execution, crafting decks, presenting to leadership, briefing vendors, and overseeing production.

• Guide Craft & Execution: Ensure every output, from copy to design, meets the highest creative standards.

• Champion Earned Ideas: Build ideas designed to travel, the kind that get picked up, reposted, and remembered.

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.).

Benefits:

• Attractive executive compensation package plus performance incentives.

• Direct impact on Marr Labs’ industry strategy and market growth

• Access to cutting-edge AI technology and Fortune 100 partnerships

• Supportive and collaborative team environment with global reach

Experience Requirements:

• 10–25 years of leadership or business development experience in the mortgage lending industry, with extensive peer recognition

• Well-established, broad network of executive contacts at major mortgage lenders, technology providers, and industry organizations

• Proven ability to create and capitalize on new business opportunities in rapidly evolving markets

• Executive presence, high emotional intelligence, and exceptional communication skills

• Ability to serve as a trusted advisor, connector, and strategic influencer

Responsibilities:

• Serve as a strategic connector, making introductions and strengthening executive-level relationships with mortgage lenders, banks, and fintechs

• Advise Marr Labs’ executive team on emerging trends and critical opportunities in the mortgage sector

• Guide sales engagements at the highest levels: shaping approaches, helping tailor value propositions, and facilitating negotiations

• Represent Marr Labs at industry conferences, events, and in executive meetings to enhance brand visibility and credibility

• Help collect and analyze market intelligence, competitor activity, and regulatory updates to inform sales and product strategy

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.

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

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).

Experience Requirements:

• Have 1-5 years (or more) of software engineering experience building real-world applications

• Know Typescript/React/NextJS, Python, Relational DBs (Postgres)

• Enjoy working in a fast moving startup with low amounts of process

• Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

Other Requirements:

• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments

• Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features

• Extending the backend functionalities and APIs (see below)

• Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features

• Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)

• Own the entire development cycle of new features, from conception to production

Experience Requirements:

• Have 3+ years of AI/ML engineering experience building real-world applications

• have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms

• Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks

• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs

• Excellent communication skills and ability to collaborate with full stack roles

Other Requirements:

• Familiar with the full stack Typescript/React/NextJS, Python, Postgres

• Interested in writing technical blogs to establish Onyx is leader in the space

Responsibilities:

• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms

• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.

• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx

• Own the approach from inception to validation to production code

• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy

Benefits:

• fully covered health/dental/vision

• transportation reimbursement

• Free meals

• Stocked kitchen with drinks, snacks, matcha and an espresso machine

• Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)

Education Requirements:

• Degree in Computer Science or related technical field

Experience Requirements:

• 4+ years of frontend engineering experience building complex, user-facing applications

• Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.

• In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies

• Excellent communication skills and ability to collaborate with cross-functional teams

• Strong product/design intuition.

Other Requirements:

• Familiar with Python, Postgres

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.

• Collaborating closely with the design team + founders

• Setting frontend priorities and best practices

• Building an exceptional design / frontend engineering culture

• Fostering an open-source community; guiding contributors on adding to the frontend

Benefits:

• Competitive salary package

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience

Experience Requirements:

• Strong programming experience in one or more of the following: C, C++, Python, Java.

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

• Ability to design and execute a research agenda.

• Personal or professional experience in working with people of diverse backgrounds.

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization.

• Develop solutions for real world, and work on large scale problems.

Experience Requirements:

• Minimum of 3 years of experience as a Power BI Developer or similar role.

• Proficiency in Power BI Desktop, Power Query, and DAX.

• Strong SQL skills and experience with data warehousing concepts.

• Experience with data transformation and data wrangling techniques.

• Excellent data visualization skills with an eye for design and usability.

Other Requirements:

• Ability to effectively communicate technical concepts to non-technical stakeholders.

• Microsoft Power BI Certification is a plus.

• Exceptional problem-solving and analytical skills.

• Strong attention to detail and commitment to data quality.

• Excellent communication and interpersonal skills.

Responsibilities:

• Collaborate with business stakeholders to understand their data and reporting needs.

• Design, develop, and maintain data warehousing solutions to support data transformation, wrangling, and storage needs.

• Utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Write and optimize complex DAX calculations to provide meaningful insights from data.

• Develop interactive and visually appealing dashboards and reports using Power BI.

Benefits:

• Competitive base salary with performance-based bonuses

• Health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential in a fast-growing startup

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in B2B SaaS or technology sales (mid-market/enterprise)

• Proven track record of meeting or exceeding sales targets and closing new business

• Familiarity with selling into e-commerce, software/SaaS, education/EdTech, or government clients is highly desirable

Other Requirements:

• Excellent verbal and written communication, presentation, and negotiation skills

• Strong ability to understand customer needs and craft tailored solutions

• Demonstrated ability to build and maintain relationships with decision-makers (e.g. C-level, department heads) in target industries

• Proficiency with CRM tools (e.g. Instantly,Salesforce, HubSpot) and sales engagement tools (e.g. LinkedIn Sales Navigator, Outreach.io)

• Familiarity with analytics/reporting tools is a plus

• Energetic, positive attitude with a growth mindset, and a passion for AI/technology

• Bonus if you have an existing network in the London tech/AI community

Responsibilities:

• Proactively identify and research new B2B sales opportunities in target industries (e.g. e-commerce, SaaS, EdTech, government) and qualify inbound leads.

• Build and maintain strong relationships with potential clients through cold calls, email campaigns, social selling (LinkedIn, etc.), and networking.

• Schedule and conduct compelling demos of ChatBotKit’s AI chatbot/agentic platform, highlighting features and business value to prospects.

• Work closely with marketing to nurture leads, manage the sales pipeline, and ensure accurate forecasting in the CRM system.

• Meet or exceed monthly and quarterly sales targets and KPIs by effectively communicating ChatBotKit’s value proposition.

Benefits:

• Competitive base salary with performance-based bonuses

• Health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential in a fast-growing startup

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in full stack web development, with a strong track record of shipping and maintaining production-grade applications

• Expert-level proficiency in TypeScript and strong working knowledge of Python

• Experience with React and Next.js, including server-side rendering and static site generation

• Proficiency in Node.js, Python and microservices architecture

• Hands-on experience with AWS and Google Cloud Platform

Other Requirements:

• Familiarity with containerization (Docker), CI/CD pipelines, infrastructure-as-code tools (Terraform), and monitoring solutions

• Experience with automated testing frameworks (e.g., Jest, Playwright, Cypress)

• Comfortable working in a collaborative, agile development environment

• Excellent communication skills and an ability to self-manage

• Experience with serverless architectures

• Familiarity with OpenAI APIs or LLM-based application development

• Exposure to chatbot frameworks or agentic system design

• Contributions to open source or tech communities

Responsibilities:

• Design, implement, and maintain scalable features and services across the frontend (React/Next.js) and backend (Node.js/Python).

• Deploy and maintain cloud-native applications in AWS and Google Cloud environments. Contribute to DevOps practices and CI/CD workflows.

• Build and consume RESTful APIs to power real-time conversational AI experiences.

• Ensure high performance, security, and scalability of the applications across different environments.

• Work closely with the product, design, and AI teams to build and iterate on features that delight users and support the needs of our enterprise clients.

Experience Requirements:

• Strong engineering fundamentals and experience building and operating large-scale distributed systems

• Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm

• A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast

• Ability to balance principled engineering with the urgency of keeping mission-critical systems alive

• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)

Other Requirements:

• Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.

• Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar

• Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism

Responsibilities:

• Design and build large-scale GPU clusters for model training and low-latency inference

• Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing

• Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization

• Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance

• Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed

Benefits:

• Lunch, dinner and snacks at the office

• Fully covered medical, dental, and vision insurance for employees

• 401(k)

• Relocation and immigration support

• Your own personal Yoshi

Education Requirements:

• Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience

Experience Requirements:

• 8+ years of product management experience for highly technical products, preferably in AI/ML or developer tools

• Proven track record with shipping products that developers and enterprises rely on

• Strong technical communication skills with ability to explain complex AI concepts to both technical and non technical audiences

• Experience working directly with customers to gather requirements and influence product development

• Understanding of AI model evaluation, testing methodologies, and performance metrics

Other Requirements:

• Direct experience conversational AI products

• Experience building and leading high-performing product teams in fast-growing environments

• Background in AI/ML product development

• Experience building product management 0 to 1 at an early stage startup (Series A or B)

Responsibilities:

• Build and optimize enterprise-grade voice AI agents powered by our state-of-the-art audio models across diverse use cases

• Drive product excellence through rigorous evaluation frameworks and testing methodologies for both audio models and voice agents, creating benchmarks for performance, naturalness, and user satisfaction

• Engage deeply with customers and design partners across all organizational levels to discover requirements, deliver compelling demonstrations, and secure strategic partnerships

• Execute our agent product roadmap in close alignment with our GTM team, ensuring customer feedback directly influences development priorities and market expansion strategies

• Establish voice AI standards by creating comprehensive best practices, implementation guides, and training materials for customers building voice experiences

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