Benefits:

• Health and wellbeing

• Life and income protection

• Retirement planning

• Time off

• Global EAP

Benefits:

• Health and wellbeing

• Life and income protection

• Retirement planning

• Time off

• Global EAP

Benefits:

• Leader opportunity

• VC-backed

• Early team member

Experience Requirements:

• 3+ years

Responsibilities:

• Lead the charge in delivering Criya's solution to mid-market and large enterprises

Benefits:

• Competitive medical, dental, and vision plans

• Life insurance

• Voluntary life options

• Financial tools such as FSA and HSA

• 401k plans

Benefits:

• Competitive medical, dental, and vision plans

• Life insurance

• Voluntary life options

• Financial tools such as FSA and HSA

• 401k plans

Benefits:

• Competitive medical, dental, and vision plans

• Life insurance

• Voluntary life options

• Financial tools such as FSA and HSA

• 401k plans

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Dynamic work environment with exposure to cutting-edge AI and computer vision technologies

Education Requirements:

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

Experience Requirements:

• At least 3 years of relevant job experience, specifically with the integration of manufacturing camera devices, vision AI, or computer vision technologies

• Hands-on experience in an on-site manufacturing or factory setting, with a proven track record of successful technology implementation

Other Requirements:

• Strong problem-solving skills and the ability to work independently under tight deadlines

• Excellent communication skills for interacting effectively with clients and team members

• Familiarity with programming and system configuration

• Willingness to drive and work at various client locations as needed

Responsibilities:

• Integrating and deploying our AI and computer vision technologies within manufacturing factory environments

• Working on-site with our industrial clients to ensure the successful implementation and optimization of our vision AI solutions

• Setting up systems, troubleshooting issues, and training client staff on new technologies

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Significant growth opportunities within an early-stage startup

Education Requirements:

• Master’s degree in Engineering, Computer Science, or a related technical field

Experience Requirements:

• 3+ years of experience in deploying machine learning models in field environments, preferably within manufacturing and/or automotive sectors

Other Requirements:

• Programming skills in Python and familiarity with cloud-based and edge computing environments

• Proficient in machine learning frameworks like TensorFlow or PyTorch

• Experience with real-time system monitoring and model performance tuning

• Independent work style coupled with the ability to communicate complex data and methods effectively across different teams

• Working knowledge within AWS, GCP & Azure cloud environments

• Willingness to drive and work at various client locations as needed

• Familiarity with few shot learning and transfer learning techniques as well as model optimization

Responsibilities:

• Deploying, monitoring, and maintaining machine learning models and image gathering hardware directly in operational environments

• Working directly with our Engineering team, refining models based on real-time data and customer feedback

• Ensuring optimal performance and scalability of AI models in field settings

Benefits:

• Opportunity to work on innovative projects

• Flexible work environment

• Culture that values creativity, growth, and collaboration

Experience Requirements:

• 3+ years of experience in full-stack development

Other Requirements:

• Proficiency in front-end and back-end technologies

• Experience with SQL and NoSQL databases

• Experience in RESTful API development and integration

• Proficient in Git

• Familiarity with Agile development practices

Responsibilities:

• Develop and Maintain

• Collaborate

• API Integration

• Code Quality

• Testing

Benefits:

• Opportunity to work on innovative projects

• Flexible work environment

• Culture that values creativity, growth, and collaboration

Experience Requirements:

• 3+ years of experience in UX/UI design

Other Requirements:

• Proficiency in design tools

• Understanding of user-centered design principles

• Experience with creating high-fidelity prototypes

• Strong visual design skills

• Excellent communication skills

Responsibilities:

• User Research

• Wireframing & Prototyping

• UI Design

• Collaboration

• Usability Testing

Benefits:

• Opportunity to work on cutting-edge AI applications

• Professional growth

• Flexible work environment

• Collaborative culture

Experience Requirements:

• 3+ years of experience in software quality assurance

Other Requirements:

• Proficiency in QA tools and frameworks

• Experience in developing and maintaining automated test scripts

• Knowledge of API testing tools

• Strong attention to detail

• Excellent problem-solving skills

• Strong communication skills

• Familiarity with Agile and Scrum methodologies

Responsibilities:

• Test Planning

• Test Execution

• Bug Tracking

• Automation

• Collaboration

Benefits:

• Opportunity to work on state-of-the-art AI applications

• Career growth

• Flexible working

• Collaborative environment

Experience Requirements:

• 3+ years of experience in a DevOps or related engineering role

Other Requirements:

• Strong experience with cloud platforms

• Proficiency with CI/CD tools

• Expertise in infrastructure-as-code tools

• Strong scripting skills

• Experience with containerization technologies

• Knowledge of security best practices

• Excellent problem-solving skills

• Strong communication skills

• Familiarity with Agile and Scrum development practices

Responsibilities:

• Infrastructure Management

• CI/CD Pipelines

• Monitoring & Logging

• Automation

• Collaboration

Education Requirements:

• Undergraduate degree

Experience Requirements:

• Minimum 5 years’ experience working in marketing

Other Requirements:

• Able to manage responsibilities with limited direction

• Passionate about learning who our customers are and what makes them buy

• Experience in B2G or B2B

• Can manage marketing agencies if needed

• Creative but like to measure success with data points

• Energetic, team player

• Enjoy working in a fast-paced startup environment

• Reliable with deadlines

Responsibilities:

• Keeping the VODA.ai website up to date

• Creating a content flywheel

• Collaborating with graphic designers

• Gathering relevant inputs for sales enablement materials

• Drafting and posting press releases

Experience Requirements:

• Previous experience working with utility or government SaaS is preferred

• Strong hunters

Other Requirements:

• Likability

• Trustworthiness

• Professionalism

• Work well and play well with others

• 70% travel

Responsibilities:

• Closing deals

• Networking and building relationships with prospects

• Attending trade shows and traveling to meet with prospects or partners

• Maintaining accurate information in the CRM

Benefits:

• Equity

• Opportunity to be leveled higher --> higher base salary

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, Math, or related technical discipline, or equivalent experience

Experience Requirements:

• 5+ years of experience in product management

Other Requirements:

• Launched and scaled products at early-stage startups

• Experience leading cross-functional teams

• Strong familiarity with product management tools and methodologies

• Experience with AI and machine learning technologies

• Strong product intuition

• Ability to think critically

• Exceptional writer and communicator

• Strong understanding of mobile app development for iOS and Android (Preferred)

Responsibilities:

• Collaborate with the founders to define, communicate, and execute the product strategy and roadmap

• Lead efforts to collect and analyze data from customer interactions, analytics tools, and market research

• Prioritize product initiatives based on user needs and business impact

• Work closely with engineering to convert product ideas into detailed specifications, PRDs, and deliverables

• Drive the integration of AI and machine learning to create features that improve user engagement and thereby field sales outcomes

Education Requirements:

• Doctoral