Benefits:

• Work from anywhere

• Comprehensive health benefits

• Competitive compensation

• Flexible hours and time off

Education Requirements:

• Bachelor's degree in Finance, Economics, Business, Computer Science, or a related field; advanced degree (MBA or MS) preferred

Experience Requirements:

• 3+ years of experience in financial services, consulting, or a similar role, within fintech or AI/machine learning environments

• Proven experience in client-facing roles involving finance or strategic consulting

Other Requirements:

• Excellent verbal and written communication and presentation skills

• Strong analytical and problem-solving skills with a strategic mindset

• Self-motivated with excellent time management and organizational skills

• Ability to build and maintain strong relationships with clients and internal teams

Responsibilities:

• Develop Deep Expertise in Boosted.ai Solutions

• Become an Expert on Boosted.ai Sales Process

• Client Engagement and Consultation

• Solution Implementation

• Client Relationship Management

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.

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 model requiring on-site presence at least twice/week

• Modern employee benefits, including health and dental coverage 100% company paid

• 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:

• A minimum of 5 years of experience as a Back-End Developer with extensive experience in Python, showcasing a deep understanding of the language

• Proficiency in using Python frameworks such as Django or Flask

• Experience with database systems like SQL or NoSQL

• Strong familiarity with cloud platforms like AWS, Google Cloud, or Azure

• An understanding of automation practices throughout the Agile development, build, and deployment phases of the application lifecycle

Other Requirements:

• A robust problem-solving mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple tasks efficiently

Responsibilities:

• Designing, building, and maintaining efficient, reusable, and reliable Python code that powers our back-end systems and ML pipeline

• Identifying and resolving performance and scalability issues, helping to improve the robustness of our system

• Handling complex data structures and algorithms, ensuring the seamless processing of data in our system

• Taking on additional responsibilities as needed, demonstrating flexibility and adaptability in a dynamic working environment

• Creating comprehensive technical documentation for system components and architecture, thereby providing clarity on architectural decisions and engineering contributions across the team

Benefits:

• A hybrid model requiring on-site presence at least twice/week

• Modern employee benefits, including health and dental coverage 100% company paid

• 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:

• Must be proficient with Vue.js

• A minimum of 3 years of experience as a Front-End Developer, with a strong understanding of user interface design and development

• Proficiency in front-end languages and libraries like HTML, CSS, JavaScript, and React.js

• Experience with database systems, such as SQL or NoSQL.

• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.

Other Requirements:

• Understanding of modern front-end build pipelines and tools, including CSS pre-processors like SASS or LESS.

• Ability to work in an Agile environment, with an understanding of automation practices throughout the development, build, and deployment phases of the application lifecycle.

• A flexible and proficient engineering mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple simultaneous tasks efficiently.

Responsibilities:

• Designing and implementing key front-end features for our automation platform and advanced machine learning engine.

• Leading the creation of customer-centric features in response to growing client demand, tactfully enhancing our core product with additional benefits.

• Drafting comprehensive documentation (Confluence) for system components and architecture, rationalizing architectural decisions and clarifying engineering contributions across the team.

• Crafting front-end components with an emphasis on usability, performance, and adherence to best coding practices.

• Adapting to dynamic workload by taking on additional responsibilities as needed, showcasing flexibility and adaptability.

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• PhD in Machine Learning, Computer Science, or other quantitive field

Experience Requirements:

• 10+ years of experience in machine learning with multiple models deployed in operational settings

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization

• Strong communication, collaboration, and coaching skills

• High proficiency in a procedural programming language (e.g. Python)

• Ability to translate and apply cutting edge research into practical solutions

• Strong leadership and mentorship abilities, with a passion for guiding and developing other team members

Responsibilities:

• Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly

• Build and deploy models in production that tangibly impact the lives of our customers

• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance

• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems

• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Experience Requirements:

• 7+ years of industry experience in software engineering, with experience working in a data-focused role

• 4+ years of people management experience

• Proven experience in analytics, data engineering, or growth-related roles, with a track record of building and managing teams

Other Requirements:

• Expertise in developing and scaling data infrastructures, including BI tools, data warehouses, and data modeling

• Proficiency in integrating and utilizing customer behavior tracking tools (e.g., CDPs, Amplitude)

• Strong experience with lifecycle marketing platforms, optimizing marketing campaigns across various channels

• Ability to partner closely with cross-functional teams, including executives, to inform and track critical business metrics

• Analytical mindset with the ability to use data to inform decisions and drive continuous improvement

Responsibilities:

• Build and lead the Analytics Engineering team, developing the analytics stack, including Business Intelligence (BI), Data Warehouse, and Data Models from the ground up

• Integrate user behavior tracking via Customer Data Platforms (CDP) and analytics tools like Amplitude to monitor and understand user actions

• Establish and refine company-wide planning processes by implementing clear objectives and key results (OKRs), ensuring that success metrics are well-defined and tracked

• Optimize data models to increase the number of actionable insights generated, striving to reduce redundant requests and streamline reporting

• Collaborate closely with the executive team to identify and monitor critical business metrics, surfacing opportunities and areas for improvement