Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Work with a leader

• Referenceable Customer base

• Pay for Performance Culture

• Uncapped commission plan

• Club Awards

Other Requirements:

• 20% travel throughout the U.S. to work locations and customer sites

Responsibilities:

• Respond to detailed Requests for Proposal (RFP) questionnaires released by prospective customers

• Create review product proposal documents

• Identify the customers’ current landscape, process pain areas, process improvement opportunities, potential Return on Investment (ROI), and project Key Performance Indicators (KPls)/ success

Other Requirements:

• Technical knowledge

• Compliance with indicators

• User support

Responsibilities:

• Pharmacy Manager

Benefits:

• Min. 26 days off

• Development budget

• Access to coworking spaces

• Medical care

• Mental well-being program

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Remove-friendly work environment

• Opportunities for professional development and career growth in a fast-paced tech startup

Education Requirements:

• Bachelor’s or master’s degree in engineering

Experience Requirements:

• 5+ years of experience in an automotive manufacturing or Tier 1 supplier environment

• Proven track record in deploying state-of-the-art software solutions to automotive or Tier 1 suppliers dealing with manufacturing efficiency improvement, specifically in parts manufacturing

Other Requirements:

• Strong communication and written skills in preparing proposals and statements of work that clearly articulate use case requirements and our AI solutions roadmap

• Analytical skills to track and present performance metrics before and after a solution’s deployment

• Experience with deploying AI or machine learning software solutions to clients’ manufacturing environment

Responsibilities:

• Ensuring our clients achieve their desired outcomes effectively using our AI solutions

• Serving as the engagement manager and first line of contact for our strategic manufacturing clients

• Working closely with our clients’ executive teams

• Identifying new AI use cases based on their manufacturing and parts defect detection criteria

• Enhancing customer satisfaction, maximizing retention, and expanding our user base through high-quality service and relationship management

Education Requirements:

• Doctoral

Education Requirements:

• PhD

Education Requirements:

• PhD

Education Requirements:

• PhD

Experience Requirements:

• 15-20yrs

Other Requirements:

• Expertise in AML compliance and anti-fraud solutions

• Worked as Sr. Business Analyst/ SME for Compliance Solutions

• Experience of Industry standards/ multi geographies/countries for the compliance

• Worked in top AML Solutions providers

• Experience of Product Management, drafting roadmaps

• Strong communication, presentation, and demonstration skills

Responsibilities:

• Expertise in AML compliance and anti-fraud solutions.

• Worked as Sr. Business Analyst/ SME for Compliance Solutions.

• Experience of Industry standards/ multi geographies/countries for the compliance.

• Worked in top AML Solutions providers.

• Experience of Product Management, drafting roadmaps.

Benefits:

• Health Coverage (Medical, Dental, Vision, One Medical Membership)

• Equity (Stock Options)

• 401k (Mass Mutual)

• FSA

• Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches

Experience Requirements:

• 2+ years in event planning, field marketing, or a similar role, preferably in B2B SaaS or technology sectors.

• Proven success managing end-to-end event logistics and achieving measurable outcomes.

• Demonstrated creative ability to elevate brand presence through strategic event execution

Responsibilities:

• Plan and execute national and regional events (tradeshows, roadshows, customer dinners)

• Coordinate speaking engagements

• Oversee event logistics (booth setup, sponsorships, AV coordination)

• Collaborate with cross-functional teams

• Develop and manage customer engagement programs (roundtables, fireside chats, personalized experiences) Manage ZestyAI’s merchandise program Develop multi-channel promotional campaigns (email, social, landing pages) Define success metrics for all events and analyze performance data Support planning and execution of webinars and virtual events

Benefits:

• Health Coverage (Medical, Dental, Vision, One Medical Membership)

• Equity (Stock Options)

• 401k (Mass Mutual)

• FSA

• Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches

Experience Requirements:

• 3+ years in a marketing operations role, preferably in a B2B SaaS or technology company

• Hands-on experience managing Salesforce and marketing automation platforms (ActiveCampaign, Mailchimp, Outreach)

• Experience building and executing account-based marketing strategies

Responsibilities:

• Lead and optimize ZestyAI’s marketing technology stack

• Design and implement an ABM infrastructure

• Establish and enforce governance policies for data quality

• Manage and optimize marketing automation systems

• Oversee the health and accuracy of the marketing database Develop and manage segmentation strategies Partner with marketing, sales, and product teams to build and execute campaigns Create and maintain lead scoring models Implement and manage attribution methodologies Own the creation of dashboards and reporting Provide actionable insights and recommendations based on data analysis Partner with sales, revenue operations, and customer success teams Train cross-functional teams on marketing automation tools

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Hybrid working arrangements

• Life Insurance

• AD&D Insurance

• Long Term Disability Insurance

Education Requirements:

• PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 2+ years of professional experience is desired

• MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 4+ years of professional experience is acceptable

Experience Requirements:

• Extensive hands-on experience of optimisation-based trajectory planning

• Experience with sampling-based trajectory planning approaches

• Experience with trajectory planning problem formulation and problem transcription

• Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks)

Responsibilities:

• Collaborate with your Team Lead and team members to solve Spatio-Temporal motion planning problems, including off-the-shelf solver evaluation and custom solver implementation.

• Collaborate with the Decision Making team to transcribe nuanced manoeuvres in complex on- and off-road environments into generalised Trajectory Planning problems.

• Collaborate with the Controls team to ensure Smooth, Comfortable, Precise manoeuvre execution for on- and off-road applications.

• Contribute to the development of high quality functionality and APIs that allow the Planner functionality to be used as a building block for on-vehicle capabilities.

• Create appropriate metrics and tools to measure and benchmark the performance of Planners deployed on various AV platforms.

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Hybrid working arrangements

• Life Insurance

• AD&D Insurance

• Long Term Disability Insurance

Education Requirements:

• Degree in Robotics or a related field (e.g., Computer Science, Engineering, Physics, etc.)

Experience Requirements:

• Solid foundational knowledge of Robotics technologies and how they operate

• Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes

• Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics.

• Professional experience in modern C++, including the STL and common testing frameworks

• Fluency in Python for software development

Responsibilities:

• Developing and maintaining high quality processes and APIs to generate performance signals and combine them to create meaningful performance metrics

• Building and owning the necessary tools and the Planning evaluation framework

• Contributing significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment and maintenance of your team's work

• Verifying and validating through on-road testing and scenario simulation

• Leveraging synthetic data from simulations to expand test situations

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Hybrid working arrangements

• Life Insurance

• AD&D Insurance

• Long Term Disability Insurance

Education Requirements:

• Degree in Computer Science, Mathematics or a related field.

• 3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics.

• Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines.

• Fluency in Python and experience with data analysis libraries and packages.

• Proven record of leading and delivering projects as part of a team.

Responsibilities:

• Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models.

• Design and implement metrics for model validation and continuous monitoring in production.

• Leverage the Oxa Metadriver™ platform to generate synthetic data, and train effective and robust driving policies,

• Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.

• Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Company share programme

• Hybrid and/or flexible work arrangements

• Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)

• A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits

Education Requirements:

• Experience with Machine Learning in a research environment.

• Demonstrate proficiency in Python software development skills

• Experience with computer vision and robotics. More specifically object detection, tracking and localization.

• Solid software engineering design principles and up-to-date knowledge of Python best practices

• An ability to understand both technical and commercial requirements.

Responsibilities:

• Researching and developing state of the art pipelines for: analysing deployment domains, route feasibility checks, domain clustering and classification, representation learning and data coverage analysis.

• Researching and developing state of the art techniques and processes for assuring pre- and post-deployment data coverage across the company.

• Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management.

• Keeping up with the latest advances in computer vision and tracking research and applying relevant techniques to Oxa MetaDriver

• Contributing to the development tools and processes to support a common testing framework across the company, acquisition of data, ML frameworks and commercial operations

Benefits:

• Modern employee benefits, including health and dental coverage

• Competitive compensation, with valuable stock options

• An opportunity to develop very rapidly in your career.

• Access to a learning and professional development fund

• Company events

Experience Requirements:

• 3-5 years of experience in an Enablement role in a B2B SaaS company

• Prior start-up experience, building an Enablement program from ground-up preferred

• Knowledge of automation, process transformation, or AI-related domains a strong asset

• Strong understanding of sales processes and methodologies

• Strong analytical skills with the ability to interpret customer data, identify trends, and extract actionable insights

Other Requirements:

• The ability to thrive in a fast-paced, dynamic environment

• Excellent communication skills to connect with all layers within the organization

• Extreme ownership

Responsibilities:

• Empower Wisedocs' Go-To-Market teams to achieve exceptional results by providing them with the knowledge, resources, and tools they need to win.

• Develop & Deliver: Develop and implement a comprehensive sales enablement strategy aligned with business goals

• Create and curate high-impact sales content (e.g., decks, battle cards, demos), and design/deliver engaging training programs for GTM teams (sales, marketing, customer success).

• Analyze & Optimize: Track key GTM metrics, analyze performance, identify areas for improvement, and report on the impact of enablement initiatives.

• Collaborate: Partner with cross-functional teams (marketing, product, sales, customer success) to ensure alignment on messaging, product launches, and GTM strategies.

Benefits:

• Modern employee benefits, including health and dental coverage

• Competitive compensation, with valuable stock options

• An opportunity to develop very rapidly in your career.

• Access to a learning and professional development fund

• Company events

Experience Requirements:

• 5+ years experience in an Enterprise Sales Role

• You understand MEDDICC or another best in class sales methodology that you carry through with you

• You are extremely competent and confident in your abilities

• You are hitting quota.

• Previous experience in the Insurance or Legal industries

Other Requirements:

• Experience or understanding of Sales Tools including Hubspot

• Comfortable attending events and travelling nationally

• Very personable and comfortable striking up a conversation (including cold calling), and building relationships

Responsibilities:

• Running a full lifecycle of an opportunity, from sourcing all the way through to close.

• Running discovery call, demos, and negotiation calls.

• Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person

• Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients

• Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.

Benefits:

• Modern employee benefits, including health and dental coverage

• Competitive compensation, with valuable stock options

• An opportunity to develop very rapidly in your career.

• Access to a learning and professional development fund

• Company events

Experience Requirements:

• 5+ years experience in an Enterprise Sales Role

• You understand MEDDICC or another best in class sales methodology that you carry through with you

• You are extremely competent and confident in your abilities

• You are hitting quota.

• Previous experience in the Insurance or Legal industries

Other Requirements:

• Experience or understanding of Sales Tools including Hubspot

• Comfortable attending events and travelling nationally

• Very personable and comfortable striking up a conversation (including cold calling), and building relationships

Responsibilities:

• Running a full lifecycle of an opportunity, from sourcing all the way through to close.

• Running discovery call, demos, and negotiation calls.

• Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person

• Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients

• Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.

Benefits:

• A hybrid work model

• Modern employee benefits, including health and dental coverage

• Competitive compensation, with valuable stock options

• An opportunity to develop very rapidly in your career.

• Access to a learning and professional development fund

Experience Requirements:

• Have a minimum of 3 years of experience in software development, with a strong focus on Python programming.

• Possess professional working experience with LLMs, RAG, transformers, BERT.

• Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.

• Should be familiar with recent model developments and frameworks, i.e. LlaMa, Mistral, GLINER, TGI, etc.

• Proven Machine Learning industry experience, preferably at scale.

Other Requirements:

• Prior professional experience with LlamaIndex is preferred.

• Prior experience with transfer learning and model modifications.

• Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.

• Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.

• Possess good understanding on leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance.

Responsibilities:

• Drive the rebuild and re-architecture of our entity classification system to have higher throughput, reliability and observability

• Design with best practices in mind for growing and evolving company

• Collaborate with other senior engineers to integrate the ML system into the broader Wisedocs platform.

• Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents, enhancing our platform's decision-making and efficiency.

• Developing robust, scalable backend services in Python, ensuring seamless integration with our AI/ML components and front-end systems.