Education Requirements:

• Bachelor’s degree or college diploma in Computer Science or related discipline

Experience Requirements:

• 3+ years of professional full-stack development experience

Other Requirements:

• Experience using most of our tech stack: MongoDB, Angular 2+, Node.js, and Flask

• Comfortable with Git workflow including pull requests and code reviews

• Comfortable working independently and in a team

• Enjoy solving problems

• Work autonomously and possess a sense of self-satisfaction

• Prior experience building customer-facing SaaS applications is preferred

• Practical experience in NLP (semantic similarity, text summarization, text generation, question-answer systems) is preferred

• Practical experience using AI/ML frameworks such as: PyTorch, Scikit-learn is preferred

• Knowledge of NLP/conversation AI frameworks such as: SpaCy, Hugging Face models, transformers, RASA, wit.ai is preferred

• Experience using AWS is preferred

Responsibilities:

• supporting the technical aspects of the MAT by Massively platform and client onboarding work

• collaborating in building, optimizing, and adding features to the MAT by Massively Platform and chatbot applications for clients

• Communicating ideas and solutions to teammates and developers

Benefits:

• Hybrid work environment

• Birthday off

• Half days before holiday weekends

• Stock options

• Competitive salary and benefits package (details not specified in text) , Unlimited vacation, $500 annual educational budget, Growth and development opportunities

Experience Requirements:

• 5 years of relevant experience in software development and/or technology infrastructure and operations

Other Requirements:

• Proven ability to set direction and inspire team members to engage and deliver on a vision

• Proven ability to manage solution delivery to defined timelines

• Broad understanding of the technologies used to build, deploy and operate distributed application systems

• Proven ability to learn new technologies quickly

• Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills

• A management style that is collaborative, energetic, and results-oriented

• Previous hands-on experience with programming and scripting languages

• Comfortable in a fast-paced environment and motivated by complex technical and business challenges

• Excellent listening, verbal and written communication skills

• A can do get it done attitude

• Start up experience (asset)

• Experience working with SaaS products (asset)

Responsibilities:

• Manage a diverse team of global software developers, testers and operations engineers

• Partner with the Product Managers to deliver high quality solutions and product features consistent with our product roadmap and agreed timelines

• Deliver reliable 24x7 solution operations, meeting business expectations across the application portfolio

• Serve as a management escalation point during major issues

• Partner with solution architects to facilitate robust design for new products and features

Benefits:

• Hybrid work environment

• Birthday off

• Half days before holiday weekends

• Stock options

• Competitive salary and benefits package (details not specified in text) , Unlimited vacation, $500 annual educational budget, Growth and development opportunities

Education Requirements:

• Bachelor's degree or equivalent in Computer Science or a related concentration (asset)

Experience Requirements:

• 5+ years in project management or project management or delivery related activity (PMO, etc.)

• 1+ years of experience delivering web applications (as a developer or a PM)

• Experience in agile delivery, including familiarity with processes such as scrum, sprint planning and development best practices

• Working technical knowledge of HTML/CSS, JavaScript and web services

Other Requirements:

• Willingness to travel up to 5-10%

• Comfortable multi-tasking and the ability to prioritize multiple projects

• Excellent organization and communication skills

• Worked in a SaaS environment

• Experience working with the e-commerce industry (asset)

• Experience with cloud based platforms / SASS (asset)

• Experience in a start up environment (asset)

Responsibilities:

• Work directly with our customers to kick off projects, capture project requirements, develop a project plan, and coordinate with the inhouse development and technical teams to deliver according to that plan.

• Become an expert on GroupBy products and services and contribute to the long-term roadmap of the company to ensure that we are delivering the most value from our products.

• Convert project requirements into a project plan for the development team using JIRA and other typical project management tools.

• Collaborate with the project team to develop a release schedule and manage the team to deliver those objectives.

• Help innovate within the ecommerce space by delivering engaging, highly converting and meaningful user experiences for the world’s largest brands.

Education Requirements:

• BS or MS in EE, ECE, CS or equivalent work experience

Experience Requirements:

• 5+ years of industry experience

Other Requirements:

• Solid experience in hardware bring-up and the debug of complex systems including ASICs, SoCs or microprocessors

• Excellent debugging, analytical, and problem-solving skills

• Understanding of computer architecture

• Working knowledge of scripting in languages such as Python and/or Perl

• Good understanding of DFT, ATPG, and design for debug techniques and their application in testing of silicon

• Good interpersonal skills, ability & desire to work as a standout colleague

• Proven track record of working cross-functionally and driving issues to closure

Responsibilities:

• silicon testing, repair and burn in of Cerebras wafer scale engines

• Utilize silicon redundancy to repair wafers based on defect signatures

• Run repair algorithms and use strategies to optimize wafer performance and quality

• Debug issues found in production, to enable volume ramp of system production

• Root cause issues and recommend solutions

Benefits:

• Competitive rewards package

• Unparalleled career growth opportunities

• Supportive, fun and engaging culture

• Office hubs across the globe

• Flexible vacation time

Education Requirements:

• Bachelor's Degree or equivalent experience

Experience Requirements:

• Experience leading eCommerce businesses, especially Amazon

Other Requirements:

• High attention to detail

• Experience managing external relationships

• Solution oriented mindset

• Comfortable in analysing dashboards

• Bias for action

• Sense of ownership

• Strong organisation and project management skills

• Team player

• Strong written and verbal communication skills

Responsibilities:

• Strategic Consulting

• End-to-End Business Planning

• Product Optimization

• Product Merchandising

• Thought Leader

Benefits:

• Base salary of $80K – $150K

• Commission: 10% – 20%

• Stock options

Experience Requirements:

• 10+ years of selling enterprise SaaS in the Retail industry

• Proven experience selling complex software solutions to $50MM+ in revenue retailers

• Demonstrated success calling on senior executives decision makers in large companies

• Proven record of driving and closing large, complex sales

• Proven leadership in sophisticated sales cycles resulting in 6 and 7 figure subscription commitments

Other Requirements:

• Deep experience defining and developing marketing and lead generation strategies

• Highly collaborative

Responsibilities:

• Develop Polymatiks’ sales strategy, and execute it successfully in-market

• Demonstrate industry expertise, thought leadership, grasp of macro-economic environment and be a trusted advisor

• Leverage your existing network of relationships with senior retail leaders to drive sales early

• Generate new leads to develop and expand individual pipeline

• Articulate the Polymatiks story, outstanding value proposition, and how Polymatiks’ solutions align with customer’s vision and address customer’s business issues

Benefits:

• Base salary

• Uncapped commission

• Stock options

Education Requirements:

• A bachelor’s degree in Business or a related field

Experience Requirements:

• 2 years experience as an SDR/ BDR in B2B outbound business development and sales, in SaaS/AI product companies

• Prior experience with tools like 6sense, SalesLoft, Zoominfo, and Hubspot

Other Requirements:

• Ability to multitask and prioritize a large list of accounts

• You have a bias toward action in a fast-paced working environment and enjoy working independently

• Highly collaborative

Responsibilities:

• Build and organize your book of business by cherry-picking the right accounts to reach out to, identify the right decision makers to formulate a personalized outreach strategy for each account

• Build connections on LinkedIn and conduct high-level consultative conversations with mid to C-Level prospects

• Generate new business pipeline primarily through outbound prospecting efforts

• Create interest through multi-channels- cold calling, LinkedIn, and email across net new logos in assigned territory

• Partner with the Customer Experience team to identify and source net new pipeline

Benefits:

• Base salary + bonus

• Stock options

Experience Requirements:

• 2+ years of marketing experience

• Consistent track record of meeting and exceeding marketing goals

Other Requirements:

• Detail-oriented and highly organized with exceptional follow-through abilities

• Experience running digital and social media campaigns

• Proficient with design software such as Photoshop, Illustrator and/or Canva

• Video and photography skills

• Google analytics experience desired

• Experience with CRM tools such as Hubspot or Salesforce

• Creative and out of the box thinking

• A quick learner

• Ability to work independently and part of a team

Responsibilities:

• Manage the company’s social media accounts and paid social media campaigns

• Manage company’s digital marketing

• Coordinate marketing events and engage audiences

• Create and manage email campaigns

• Create new content

Benefits:

• Base salary

• Bonus

• Stock options

Education Requirements:

• MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field

Experience Requirements:

• 3+ years of industry experience in productionalizing machine learning models

• Strong programming background, with extensive experience in Python and R

• Experience in machine learning libraries, such as PyTorch, Scikit-learn, MLlib, Tensorflow, and Keras

• Ability to deploy and scale ML models into a production environment

Other Requirements:

• Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences

• Excellent mathematical reasoning skills, especially with probability

• Deep experience with SQL

Responsibilities:

• Participate and guide all aspects of analytical project lifecycle – from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of machine learning models

• Develop state-of-the-art machine learning models. Iterate to push the boundaries on how problems can be solved through data science

• Conduct open-ended data exploration to answer product questions and design experiments to enable decision making as we iterate on solutions

• Collaborate with business partners to identify opportunities for innovation

• Develop data preparation/cleansing/ETL pipelines, in collaboration with the engineering team

Benefits:

• Base salary

• Bonus

• Stock options

Experience Requirements:

• 5+ years of real-world experience developing and delivering quality software

• Have strong programming fundamentals (data structures and algorithms)

• Have substantial and demonstrated experience with the following frameworks / technologies / languages – Micro services, Python, Django, NextJS, Node.JS, React / Redux, GraphQL

• Have hands-on knowledge developing applications for the cloud (preferably GCP)

• Have a proven history of delivering increasingly complex, highly available and scalable distributed systems

Other Requirements:

• Be proficient in analytical and problem-solving abilities

• Be passionate about creating high quality product that promote the business

• Be able to work independently with little oversight or management in a fast-paced, dynamic environment with high-energy and mission-driven colleagues

• Is a great team player

• Has a curious and collaborative mentality

Responsibilities:

• Deliver world-class software, across the full stack, in tight iterations with a cutting edge team to drive the business forward

• Execute a disciplined agile methodology and process

• Adopt consistent engineering standards and practices

• Shape the initial engineering culture of the company

• Work closely with the VP of Technology to make technology and implementation decisions

Benefits:

• Min. 26 days off

• Development budget

• Access to coworking spaces

• Medical care

• Mental well-being program

Education Requirements:

• Doctoral

Education Requirements:

• PhD

Education Requirements:

• PhD

Education Requirements:

• PhD

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:

• 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:

• 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:

• 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