Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.

• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.

Other Requirements:

• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).

• Strong understanding of Kubernetes and container orchestration.

• Extensive knowledge of networking protocols.

• Excellent communication and relationship-building abilities, with a customer-centric mindset.

• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Responsibilities:

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.

• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.

• Collaborate with product and engineering teams, and identify opportunities for product enhancement.

Benefits:

• 28 days Holiday

• Competitive salary

• RSU’s (Restricted Stock Units)

• Hybrid working (2 days a week in the office)

• Health Shield Cover (Health, Dental, Eye care and Physio cash reimbursement plan)

Education Requirements:

• 2:1/1st degree or above

Experience Requirements:

• Minimum of 4+ years’ experience in a hands-on Search Engine Marketing role, preferably within an agency

• Experience executing campaigns across SEM (including AdWords, Amazon sponsored Ads)

• Experience executing remarketing, prospecting and paid social campaigns is a bonus

• Experience working with retail/ecommerce clients (desirable)

Other Requirements:

• Excellent verbal and written communication skills

• Excellent attention to detail

• Analytical with an eye for insights

• Proficient in Excel, PowerPoint, Google Analytics and data interpretation

Responsibilities:

• Hands-on execution and optimisation of SEM accounts

• Test, scale and optimise campaigns in Amazon Ads and other retail media and other channels including but not limited to Google Ads, Meta, Instagram and Tiktok Ads and Affiliates

• Analyse and optimise existing campaigns including campaign structure, keyword research, negative keywords, bid adjustments, creating new campaigns, writing compelling ad copy, audience targeting and any other optimisation required to drive revenue and sales

• Ongoing management of monthly budgets across client accounts

• Communicating with clients via email, calls and face to face meetings to provide insights

Benefits:

• 28 days Holiday (increasing to 32 with each year of service)

• Competitive salary

• RSUs (Restricted Stock Units)

• Hybrid working (2-3 days a week in the office)

• Private Medical Insurance + gym discounts

Education Requirements:

• 2:1/1st degree or above

Experience Requirements:

• 3+ years’ hands-on experience in Search or Performance Marketing, ideally within an agency or ecommerce environment

• Proven track record executing campaigns across Amazon Ads, Google Ads or programmatic (experience with Meta, TikTok and EU marketplaces are a plus)

• Experience working with retail or ecommerce brands is highly desirable

Other Requirements:

• A strong analytical mindset with the ability to turn performance data into clear insights and actions

• Proficiency in Excel, Data Visualisation, Google Analytics, and other tools used to analyse and interpret campaign performance

• Excellent verbal and written communication skills — able to simplify complex topics for clients and internal teams

• Naturally curious with strong critical thinking skills — you question assumptions, spot patterns, and solve problems proactively

Responsibilities:

• Lead the hands-on execution and optimisation of paid media campaigns across Amazon Ads, Amazon DSP, EU Marketplaces such as TikTok Shop, Ebay, Zalando & Allegro and other retail media channels

• Test, scale, and optimise campaign elements including keywords, bids, audiences, placements, and creative to drive revenue and efficiency

• Analyse campaign performance and identify strategic opportunities — from keyword research and competitive analysis to new campaign launches and budget shifts

• Own budget pacing and performance monitoring across multiple accounts to ensure monthly and annual revenue goals are met

• Nurture brand partner relationships via calls, emails, and meetings — providing clear insights, strategic recommendations, and campaign updates

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:

• 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

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

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:

• 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:

• Proven track record of meeting or exceeding revenue quotas in a sales, partnerships, or business development role.

• Strong experience in deal structuring, pricing negotiations, and closing partnership or sales agreements.

• Skilled in analyzing sales and performance metrics to identify opportunities and optimize partner performance.

• Demonstrated ability to build, nurture, and scale long-term, high-value relationships with partners or clients.

• Exceptional verbal and written communication skills, with the ability to present ideas persuasively and drive alignment across stakeholders.

Other Requirements:

• Want to be at at 10x startup and have a 10x impact

• Customer obsession

• Comfort with working remotely

• London-based (UK Contract)

• Willingness to travel across the UK to visit partners in person.

Responsibilities:

• Identify, target, and onboard new UK-based agency partners to expand Polar’s ecosystem.

• Train, onboard, and equip agency partners with the tools, resources, and knowledge to effectively sell Polar Analytics.

• Serve as the primary point of contact for partner needs, product questions, escalations, and partner enablement.

• Drive joint sales opportunities with partners, contributing to measurable revenue growth.

• Support partners in deal structuring, pricing, and objection handling.

Benefits:

• An open and inclusive culture and work environment

• Full health and dental benefits, including a separate budget to take care of your mental health

• 100% Parental Leave top-up for up to 6 months

• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

• 6 weeks of vacation (30 working days!)

Experience Requirements:

• Have built, shipped & maintained production-ready applications.

• Have strong coding abilities and are comfortable working across the stack.

• Take a customer-focused, product-minded approach to building software, prioritising outcomes and impact.

• Thrive in fast-paced environments and can stay focused as priorities and objectives evolve.

• Bonus: You have a creative mindset and an eye for design — a plus if you can share a portfolio, GitHub, or other project showcases.

Responsibilities:

• Design, build, ship and maintain scalable features for North, our AI workspace platform.

• Take end-to-end ownership of features — from initial design and planning, through implementation, testing, and delivery.

• Apply your expertise to deliver at speed, making practical technical decisions that balance velocity with depth and quality.

• Collaborate closely across teams, maintaining high standards for communication, documentation, and testing.

• Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimise performance.

Benefits:

• An open and inclusive culture and work environment

• Full health and dental benefits, including a separate budget to take care of your mental health

• 100% Parental Leave top-up for up to 6 months

• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

• 6 weeks of vacation (30 working days!)

Education Requirements:

• Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.

Experience Requirements:

• Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.

• Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.

• Enjoy collaborating across disciplines and geographies.

• Care about mentoring and supporting the next generation of researchers.

Responsibilities:

• drive an independent, high-impact research agenda on frontier topics in AI.

• ask ambitious questions, explore the unknown, and publish your findings openly.

• advancing frontier research with global collaborations

• guiding new researchers

• opening doors for broader participation in ML research.

Benefits:

• Healthcare and pension

• Discounts and cashback on gym membership, opticians, and dentists' fees

• Fresh fruit, coffee, soft drinks, snacks, tea, and breakfast materials

• Weekly team language lunches and lessons

• Frequent team expeditions

Experience Requirements:

• Strong interest in languages

• Ability to speak at least two languages

• Experience with mobile apps

• Experience with games

Other Requirements:

• Genuinely excited about working with Memrise

• Humility

• Strong character

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with backend technologies including Python or Go.

• Experience with databases such as Postgres, Redis.

• Familiar and have experience with front-end technologies (Typescript, React, react-query, build tools, React component libraries).

• Experience with Infrastructure-as-code solutions (e.g., Pulumi over AWS).

Other Requirements:

• Experience with Mobile development (we use React-native).

• Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of new backend APIs and working with the edge team.

• Implementing user-facing front-end interfaces and working with the product team.

• Ensure the system can scale and have full observability.

• Delivering high-quality features, testing them well, and debugging issues.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Expert in React & TypeScript, with strong CSS and responsive design skills.

• Experience with React Query, Storybook, and Material UI (or similar).

• Proven ability to optimize performance and build interactive, user-friendly applications.

• Experience leading large-scale front-end projects and setting best practices.

• Familiarity with backend/cloud technologies (AWS, Python, databases).

Other Requirements:

• Self-driven with a high level of intrinsic motivation to succeed and adapt to evolving requirements; able to work flexible hours to meet deadlines as necessary.

• Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and document technical processes clearly.

Responsibilities:

• Developing high-performance, responsive UIs for seamless user interactions.

• Collaborating with a top team of designers and engineers to create an intuitive, industry-leading product.

• Building and maintaining a scalable component library for a consistent design system.

• Optimizing performance and ensuring maintainability, scalability, and code quality.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 5+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with either Go or Python

• Experience designing, implementing, debugging, scaling, and optimising APIs, databases and pipelines as the traffic grows to multi-TB scale

• Experience with infrastructure-as-code solutions (e.g., Pulumi over AWS).

• Experience with monitoring tools (e.g., Grafana).

Other Requirements:

• Experience with authentication (e.g., Auth0).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of the APIs, databases and data pipelines.

• Ensure the system can scale to the growing traffic, have full observability and drive down the cost.

• Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues.

• Supporting a broader front-end, edge-computing and ML team.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)

• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them

• Good understanding of docker and containerization

• Experience with Pytorch and Python3, and comfortable with C++

• Understanding of Torch script, ONNX runtime, TensorRT

Other Requirements:

• You should be a good software engineer who enjoys writing production-grade software.

• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs

• Understanding of half-precision inference and int8 quantization

Responsibilities:

• Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput.

• Take an open-source model and fine-tune them on our in-house data set as needed.

• Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case.

• Integrate the model with the downstream use case and fully own the end metrics.

• Maintain and improve all existing ML applications in the product

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.

• Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.

• Experience with Docker, CI / CD pipelines.

• Experience with Edge/IoT computing (we have a fleet of deployed edge computers).

• Experience with infrastructure management (e.g., Salt).

Other Requirements:

• Experience with monitoring tools (e.g., Grafana).

• Experience with video processing & streaming (e.g., Gstreamer).

• Experience interfacing ML models (we use PyTorch).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Building edge applications processing vision data and communication layers for the compute-constrained edge devices.

• Deploying machine learning models to production.

• Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.

• Building observability and telemetry.

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• All permanent employees receive generous stock options

Experience Requirements:

• Strong expertise with React and TypeScript in production environments

• Proven experience architecting and shipping frontend applications end-to-end

• Experience reviewing code, mentoring peers, and upholding engineering best practices

• Prior work in smaller, fast-moving environments where autonomy and adaptability are key

• Experience building or integrating testing frameworks such as Cypress

Other Requirements:

• Ability to navigate ambiguity and make clear technical tradeoffs in fast-changing environments

• Strong problem-solving skills with a product-first mindset

• Comfort with modern tooling (e.g. Vite, nx, Redux, Storybook, Webpack)

• Familiarity with 3D or media-related libraries (e.g. React Three Fiber, Konva, PeaksJS)

• Experience with GraphQL, Auth0

Responsibilities:

• Design, build, and maintain core product features using React and TypeScript, ensuring code quality, performance, and accessibility.

• Own end-to-end development across the frontend stack, from architecture to deployment. With some willingness/ability to contribute on the backend.

• Review and mentor code contributions from peers, driving best practices and raising engineering standards.

• Collaborate with product managers and designers to translate creative and technical requirements into elegant, user-centric solutions.

• Work closely with backend engineers to integrate APIs and ensure seamless product functionality.

Benefits:

• Earn compensation for your expertise

• Strengthen brand credibility within the HSE community

• Build a network of advocates

• Turn your experience into impact — and income

• Flexible, low-commitment consulting role

Experience Requirements:

• Proven experience as an HSE Manager or in a similar role (5+ years preferred)

• Strong understanding of HSE regulations, procedures, and stakeholder needs

• Excellent communication skills and a collaborative mindset

• Comfortable providing structured feedback on product and messaging

• Ability to use standard remote collaboration tools (e.g., Zoom, Google Docs)

Other Requirements:

• Experience in Manufacturing, Logistics or Construction industries

• Participation in professional safety communities

Responsibilities:

• Serve as our go-to expert for our HSE (Health, Safety & Environment) practice

• Provide insight into the priorities, challenges, trends and decision-making processes of HSE professionals

• Provide feedback from your experience to ensure we are best supporting the community of HSE stakeholders

• Support occasional outreach (email, LinkedIn, feedback sessions) to fellow HSE professionals in your network or industry circles

Experience Requirements:

• 3–7+ years of experience in enterprise SaaS sales, ideally with exposure to financial services clients.

• Proven track record of closing complex deals and exceeding quota in a high-velocity or high-value environment.

Other Requirements:

• Exceptional communication, storytelling, and relationship-building skills.

• Ability to understand and communicate technical products with depth and clarity.

• A self-starter mentality—you move fast, learn quickly, and thrive in ambiguity.

• Bonus: experience selling to capital markets, asset management, or research-oriented teams.

Responsibilities:

• Own the full sales cycle from prospecting to close, targeting the most elite financial institutions in the world.

• Identify and build relationships with key decision-makers at hedge funds, asset managers, investment banks, and private equity firms.

• Develop deep product knowledge and work closely with prospects to map Captide’s capabilities to their workflows and pain points.

• Drive outbound strategies in partnership with marketing, SDRs, and leadership to accelerate pipeline growth.

• Negotiate complex, enterprise-scale contracts with attention to value, risk, and long-term partnership.