Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

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