Experience Requirements:

• 5+ years closing outbound B2B sales within USA market

• Consistent track record of overachieving individual quotas (Ticket size around $20-200k) in USA Market

• Saas Sales experience in a fast-paced inside sales function

• Hunter's mentality and tenacity to open new accounts

• Deep understanding of B2B buyer journey, RFP Management, and Navigating Multi-stakeholder complex deals.

Other Requirements:

• Excellent communication, objection handling, and solution skills

• Proficiency in HubSpot and modern inside sales tools

• Strong references from previous leaders

Responsibilities:

• Own monthly, quarterly, and annual sales quotas for yourself and your team

• Sales sanity - Prospecting, networking, referrals, and advocacy.

• Qualify, develop, and close inbound leads.

• Manage an SMB sales team focused on lead generation and customer acquisition activities

• Coach team members on sales processes and optimization using call reviews/assessments

Education Requirements:

• Graduate/Postgraduate or equivalent

Experience Requirements:

• 3-5 years of SaaS sales experience required

• Ability to hunt new business and manage a pipeline

Other Requirements:

• Great team player

• Strong analytical, communication, and writing skills

• Entrepreneurial spirit highly encouraged

• Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate results every day

• Great listening skills and a desire to learn proper consultative selling techniques

Responsibilities:

• Prepare for the sales calls including conducting research and building sales decks

• Leading the prospective client calls, sending pitches, and closing new deals.

• Presenting Xoxoday products as a solution to the prospective client’s business challenge/needs

• Manage the full sales cycle from prospecting to closing for new customers

• Should be flexible working in shifts or in different time zones

Experience Requirements:

• 2+ years outbound B2B sales with increasing responsibility

• Consistent track record of overachieving individual quotas (Ticket size around $20-200k)

• Hunter's mentality and tenacity to open up new accounts

• Deep understanding of B2B buyer journey, RFP Management, and Navigating Multi-stakeholder complex deals.

Other Requirements:

• Excellent communication, objection handling, and solution skills

• Proficiency in HubSpot and modern inside sales tools

• Strong references from previous leaders

• Top 1 Percentile communication - verbal and written. Beyond GPT.

Responsibilities:

• Own monthly, quarterly, and annual meeting and opportunities quotas.

• Sales sanity - Prospecting, networking, referrals, and advocacy.

• This is a FastTrack role to SMB AE role

Experience Requirements:

• 5-8 yrs

• 5+ years closing outbound B2B sales with increasing responsibility

• Consistent track record of overachieving individual quotas (Ticket size around $20-200k)

• Successful leadership experience in a fast-paced inside sales function

• Hunter's mentality and tenacity to open up new accounts

Other Requirements:

• Deep understanding of B2B buyer journey, RFP Management, and Navigating Multi-stakeholder complex deals.

• Excellent communication, objection handling, and solution skills

• Proficiency in HubSpot and modern inside sales tools

• Strong references from previous leaders

Responsibilities:

• Own monthly, quarterly, and annual sales quotas for yourself and your team

• Sales sanity - Prospecting, networking, referrals, and advocacy.

• Qualify, develop, and close inbound leads.

• Manage an SMB sales team focused on lead generation and customer acquisition activities

• Coach team members on sales processes and optimization using call reviews/assessments

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.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• 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

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

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• Fully employer-covered medical, dental and vision insurance

• catered lunch

• yummy snacks

• variety of drinks

• life insurance

Education Requirements:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• 10+ years of industry experience.

• Proven experience in building, deploying, and scaling production-level ML solutions.

• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.

• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.

• Experience leading and executing large-scale, cross-functional projects.

Responsibilities:

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.

• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.

• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.

• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.

• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.

Experience Requirements:

• Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications

• Excellent development skills in Python

• Deep knowledge of Kubernetes at the user level

• Good sense of systems and data oriented software engineering design - what makes code reusable and extensible

• Understanding of common software performance issues and design tradeoffs

Other Requirements:

• Excellent communication and people engagement skills

Responsibilities:

• Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.

• Work cross-company on aligning technical dependencies for simulator implementation

• Lead technical discussions and guide technical direction

• Effectively integrate the components of the simulated robot into the simulation platform

• Effectively integrate machine-learned graphics subsystems into the simulation platform

Experience Requirements:

• Technical leadership in relevant domain (multi-modal calibration, SLAM, computer vision, estimation).

• Team growth and leadership. Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.

• Interface with product & programmes. Track record of working with product and programme functions to plan and prioritise, and handle change of direction and priorities.

• Strategic prioritisation and decision making. Expertise in navigating shifting priorities, balancing long-term architecture with urgent support requests, and making data-driven trade-offs between impact, feasibility, and resources.

Responsibilities:

• Managing delivery of the technical roadmap – forecasting dependencies and helping to unblock the team.

• Understanding the long-term production strategy for calibration, and building and aligning the calibration technical roadmap towards it

• Helping the team to balance urgent operational day-to-day requirements with delivery of the long-term roadmap

• Aligning with technical stakeholders to define SLAs for calibration

• Help the team handle fleet scaling and create more time for roadmap delivery by increasing automation, monitoring and observability of the pipeline

Experience Requirements:

• 3+ years of experience in corporate strategy or consulting

Other Requirements:

• Strong analytical capabilities: confident modelling in excel and distilling complex concepts into clear concise messages to support the organisation’s decision making in both spreadsheet and slide formats

• Problem solving: will look at solving undefined AV technology, product and business model needs in a structured approach with rigour and hypothesis

• Communication: Can distill mountains of information and analyses into a clean, clear message that enables leadership to make informed decisions, faster

• Humble & Resilient: views setbacks or incorrect hypothesis as learnings experiences vs failures

• Big-picture minded: understands the (long-term) end goal, and keeps it in mind as a north star in the midst of (near-term) operational execution

Responsibilities:

• Identify and evaluate opportunities for Wayve to advance our commercial strategic thinking, working cross-functionally to understand the needs and capabilities of multiple departments to understand gaps and opportunities

• Support in development of internal tools and financial models to evaluate strategies with a data-driven approach

• Support future commercial strategy build out, accounting for market and partner realities + risks

• Fact-based, in-depth research and analysis of AV/ADAS/AI ecosystem to support Wayve’s commercial strategy, to help Wayve consider impacts of this dynamic competitive landscape

• Ability to think outside the box in evaluation of ambiguous, open-ended questions and quickly develop and iterate with various stakeholders to drive towards solutions

Experience Requirements:

• 5+ years of payroll experience

• Previous multi-country payroll experience

Other Requirements:

• Attention to detail

• Passion for processes and controls

• Ability to work in a fast paced, changeable environment

Responsibilities:

• Compilation of the payrolls for all countries in which Wayve operates

• Responsible for ensuring the accuracy of all variable pay components (Master Data is the responsibility of the People Team)

• Implementing and maintaining processes and controls to ensure the payroll is accurate

• Managing the relationship with the payroll providers

• Ensure we meet the payroll reporting requirements in each of our payroll jurisdictions

Experience Requirements:

• Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes.

• Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.

• Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.

• Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.

• Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.

Responsibilities:

• Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.

• Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.

• Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.

• Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.

• Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 5-8 years of professional experience preferably in a customer-facing role

Other Requirements:

• Consulting experience working in technologies such as automation, process and task mining, business process management, workforce intelligence, desktop process analytics

• Leadership skills and an ability to coordinate and collaborate with engineering and product teams

• Strong project management skills

• Data Analysis and Insights - Leverage data analytics to provide actionable insights for process optimization, cost reduction, and performance enhancement.

• Knowledge of Lean Six Sigma principles and process re-engineering

• Fluency in German

• Strong interpersonal skills

• Strong organization and presentation skills

• A propensity for relationship-building

• Professional experience in Financial Services and/or Insurance

• Certification in Lean Six Sigma principles

• Fluency in one additional European language – French, Dutch or Italian

Responsibilities:

• Become a trusted value delivery partner for assigned clients – Customer Value management and delivery, project reporting, governance ​and consulting

• Program Management (In partnership with solutions delivery leads): All phases of engagement from onboarding, implementation, training), and ongoing support to help our customers recognize value across the journey​.

• Report and track all CS metrics in the tool and keep information up-to-date

• Demonstrate deep expertise in Skan product and industry and provide consulting and best practices throughout the lifecycle ​

• Understand customer landscape, problem space, value based metrics and align with Skan capabilities​

Experience Requirements:

• 10+ years of hands-on leadership in business intelligence, advanced analytics, or data science

Other Requirements:

• Expert-level proficiency in Databricks or Snowflake, Microsoft Power BI, and Tableau

• Advanced SQL skills with substantial experience in modern data warehousing architectures

• Strong Python capabilities for sophisticated data manipulation and transformation in AI/ML environments

• Proven track record of creating intuitive, AI-enhanced dashboards that effectively communicate complex insights

• Extensive experience conducting business process analysis and generating actionable intelligence for automation and optimization

• Exceptional autonomy with the ability to drive projects independently while collaborating seamlessly across functions

• Strategic analytical mindset focused on converting data into measurable business impact through both descriptive (what happened) and prescriptive (what should happen) approaches

• Outstanding communication skills with the ability to translate complex AI-powered data narratives into compelling, strategic recommendations

• Bonus experience in process mining, AI-driven analytics, value engineering, or automation intelligence

Responsibilities:

• Lead the analytics revolution by designing and implementing both descriptive analytics that illuminate what's happening and prescriptive analytics that guide what should happen next

• Architect and deliver sophisticated customer-facing dashboards that translate AI-powered process intelligence into clear automation opportunities and performance metrics

• Pioneer industry-specific analytics frameworks that showcase the transformative potential of AI in optimizing business processes

• Execute deep-dive analyses that uncover hidden patterns and trends, enhancing Skan's AI models and driving continuous product improvement

• Push the boundaries of data visualization to make complex insights immediately accessible and actionable

Education Requirements:

• Bachelor's degree in Engineering, Computer Science, or related technical field

Experience Requirements:

• 10+ years in IT Consulting, Management Consulting, or Process Improvement with 3+ years in management

• Proven track record leading high-performing technical teams through complex implementation projects

Other Requirements:

• Exceptional communication skills that resonate with both technical teams and C-suite executives

• Superior problem-solving abilities with experience navigating multifaceted project landscapes

• Technical familiarity with HTML, CSS, APIs, security protocols, and communication frameworks

• Unwavering commitment to customer success and continuous improvement

• Passion for revolutionary technology that's redefining how organizations understand their operations

Responsibilities:

• Become the authority on Skan's revolutionary process intelligence suite, continuously expanding your expertise as our platform evolves

• Guide and elevate Implementation Consultants with your technical acumen, ensuring exceptional delivery quality across all engagements

• Shape product evolution by channeling frontline insights to our Product and Engineering teams, directly influencing our innovation roadmap

• Lead from the frontlines by driving process execution from initial planning through successful deployment

• Build and inspire a high-performing team of Implementation Consultants who thrive on solving complex process challenges

Education Requirements:

• Bachelor's degree in engineering, Computer Science, or a related technical field

Experience Requirements:

• 5-6 years of working experience in IT Consulting, Management Consulting, Process Improvement, or a similar area

Other Requirements:

• Proven ability to perform data interpretation, result analysis, and application of statistical techniques

• Hands-on experience with IT systems, software applications, Windows, and Linux platforms

• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences

• Strong problem-solving and analytical skills, with a passion for tackling operational technical challenges

• Familiarity with HTML, CSS, APIs, security protocols, and communication protocols is highly desirable

Responsibilities:

• Collaborate closely with customers' technical teams to assess requirements, map processes, and execute comprehensive deployment plans for Skan's product offerings.

• Lead the end-to-end planning, configuration, and operationalization of Skan solutions, ensuring alignment with customer needs and seamless integration into their existing infrastructure.

• Serve as the primary point of contact for customers, providing technical guidance, support, and timely resolution to product-related issues and queries.

• Coordinate with internal cross-functional teams to ensure adherence to ambitious deployment schedules and successful project execution.

• Develop and maintain detailed implementation plans and provide regular updates.

Experience Requirements:

• 6-10 years of business intelligence or data analytics experience – experience with Snowflake and Microsoft PowerBI preferred

• 3+ years’ experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing

Other Requirements:

• In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS

• Experience using Python to parse, structure, and transform data

• Affinity for numbers and metrics

• Ability to create user friendly and concise dashboards which enable the customer to understand their process better

• Clear and effective communication skills

• Team Player with willingness to learn

• Ability to coordinate with different teams across the organization

• Analyzing industries, overall economic and corporate trends

• Conduct and facilitate internal and external research and discovery around customer business processes

• Hands-on experience with PowerBI

• Previous industry experience in Banking, Finance or Healthcare

• Data Analytics certification

Responsibilities:

• Ability to interpret data and build/modify dashboards jointly with customers, and based on data, propose potential process improvement solutions with internal teams and customer stakeholders

• Work with data to arrive at key metrics and KPI’s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc

• Create dashboards with a high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders

• Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions

• Analyze unique operational data to find new and deep insights that bring our customers' value

Education Requirements:

• Bachelor's degree in engineering, Computer Science, or a related technical field

Experience Requirements:

• 5-6 years of working experience in IT Consulting, Management Consulting, Process Improvement, or a similar area

Other Requirements:

• Proven ability to perform data interpretation, result analysis, and application of statistical techniques

• Hands-on experience with IT systems, software applications, Windows, and Linux platforms

• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences

• Strong problem-solving and analytical skills, with a passion for tackling operational technical challenges

• Familiarity with HTML, CSS, APIs, security protocols, and communication protocols is highly desirable

Responsibilities:

• Collaborate closely with customers' technical teams to assess requirements, map processes, and execute comprehensive deployment plans for Skan's product offerings.

• Lead the end-to-end planning, configuration, and operationalization of Skan solutions, ensuring alignment with customer needs and seamless integration into their existing infrastructure.

• Serve as the primary point of contact for customers, providing technical guidance, support, and timely resolution to product-related issues and queries.

• Coordinate with internal cross-functional teams to ensure adherence to ambitious deployment schedules and successful project execution.

• Develop and maintain detailed implementation plans and provide regular updates.

Education Requirements:

• Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

Experience Requirements:

• Experience in training and deploying ML models in production

Other Requirements:

• Strong programming skills in Python

• Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn)

• Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools

• Understanding of data structures, algorithms, and optimization techniques

• Experience with data engineering, feature extraction, and model evaluation

• Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.)

• Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models

• Knowledge of multi-modal AI (text, image)

• Knowledge of reinforcement learning, planning, and decision-making models

• Hands-on experience with big data processing and big data frameworks

• Familiarity with vector databases

• Experience in real-time AI applications for high-performance systems

Responsibilities:

• Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.

• Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.

• Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.

• Apply MLOps best practices for model versioning, monitoring, and retraining.

• Work with large-scale datasets, performing feature engineering and data augmentation.