AI Product Manager

Remote (United States)

RoadRunner

RoadRunner provides tech-enhanced, fully-managed waste & recycling services for businesses, including collection, equipment, vendor management & reporting.

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About RoadRunner

At RoadRunner, our daily motivation is to accelerate the road to Zero Waste™ while providing maximum value for our customers and our communities. We achieve this through efficient, cost-effective and sustainable waste operations.

Our team cares deeply about each other and our planet, and we are dedicated to leveraging technology and innovation to modernize a vital industry with integrity, expertise and a passion for create a future where waste is a problem of the past™.

Technology, artificial intelligence and data-driven strategies are the backbone for our team of waste experts to reliably provide our customers with the most streamlined, cost effective and sustainable waste and recycling services.

Since RoadRunner’s creation in 2014, we’ve helped more than 12,000 customer locations achieve an average between 10 - 20% savings on their monthly waste bills while also improving their recycling efficiencies. We’re proud that RoadRunner’s industry-leading model has been recognized by the SEAL Business Sustainability Awards 2023, Pittsburgh Business Times’ Best Place to Work 2022, and Pittsburgh Inno’s 2022 Fire Awards. 

Our Glassdoor reviews are fantastic (3.3/5 on 291 reviews), our CEO’s approval rating is 70%, and 67% of our reviewers would recommend working here. Our Indeed ratings have consistently improved as we’ve been expanding our teams (3.4/5 on 81 reviews) and we now have over 13K followers on LinkedIn.

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.


Job Summary:

The AI Product Manager will be at the forefront of identifying opportunities to leverage AI to solve critical business challenges, enhance customer experiences, and unlock new revenue streams. You will be the crucial link between our talented AI development team and various business stakeholders, ensuring that technical capabilities translate into tangible business value.


You will be responsible for defining product roadmaps, prioritizing features, writing user stories, and driving continuous improvement throughout the product lifecycle for products that accelerate the road to Zero Waste while providing value for our customers and our communities through efficient, cost-effective and sustainable waste operations.


Responsibilities:

Product Development and Execution 40%:

  • Lead the product development lifecycle for AI initiatives, working closely with machine learning engineers, software developers, and product designers.
  • Translate business requirements and AI possibilities into clear and detailed product specifications, user stories, and acceptance criteria.
  • Facilitate effective communication and collaboration between technical teams and business stakeholders throughout the development process.
  • Manage and prioritize the AI product backlog, ensuring alignment with strategic goals and resource availability.

AI Strategy and Opportunity Identification 30%:

  • Identify and evaluate potential use cases for AI across various aspects of our waste and recycling business, including operations, logistics, customer service, and sustainability initiatives.
  • Define the strategic vision and roadmap for AI powered products and features, aligning with overall business objectives.
  • Conduct thorough analysis of business needs and challenges to determine where AI can provide the most significant impact and ROI.
  • Stay abreast of the latest advancements in AI and related technologies, assessing their potential applicability to our industry.

Stakeholder Management and Communication 20%:

  • Serve as the primary point of contact for AI product related initiatives, effectively communicating progress, challenges, and outcomes to stakeholders.
  • Communicate product updates, roadmaps, and progress to stakeholders at all levels of the organization.
  • Collaborate with stakeholders to understand their needs and demonstrate the potential and realized value of AI solutions.
  • Define and track key performance indicators (KPIs) to measure the success and impact of AI products on business outcomes.
  • Advocate for the adoption and integration of AI powered solutions across the organization.

Product Analysis and Optimization 10%:

  • Monitor the performance of deployed AI models and products, identifying areas for optimization and refinement
  • Drive continuous improvement of AI products based on performance data, user feedback, and evolving business needs.
  • Collaborate with data science teams to ensure model accuracy, reliability, and scalability.
  • Stay up-to-date with industry trends and emerging technologies.


Skills and Experience:

  • 3+ years of professional product management with a significant focus on AI products.
  • Enthusiasm for our sustainability driven mission.
  • Experience creating product requirements documents and building product process from the ground up. 
  • Strong understanding of AI concepts, algorithms, and development workflows.
  • Familiarity with data platforms and cloud computing environments (e.g., AWS, Azure, GCP).
  • Ability to work effectively in a fast-paced, dynamic environment.
  • Experience with project management tools such as Jira, or similar.
  • Self-Driven and able to work autonomously
  • Proven ability to translate complex technical concepts into clear business language.
  • Detail oriented, possess excellent organizational skills, and have an eagerness to learn current and future business processes.   
  • Ability to manage multiple projects, multi-task and effectively prioritize conflicting assignments with minimal supervision.
  • Comfort with ambiguity, ability to act without having the whole picture using sound judgment and strong decision-making skills.
  • Passionate about business results and quality, with a strong sense of accountability, metrics and ownership.
  • Strategic thinker with the ability to grasp the tactical details.
  • Strong analytical and problem solving. Solid decision making in a timely manner.


Preferred:

  • Experience within the waste and recycling industry or related logistics/operations-focused sectors.
  • Experience with specific AI/ML tools and frameworks (e.g., TensorFlow, scikit-learn, MLflow, Weights and Biases, Ray).
  • Understanding of data privacy and ethical considerations related to AI.


Education:

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field (Master’s degree preferred).


Core Values:

  • Trust: Have confidence in our team. Have integrity in your actions  
  • Be Humble: Stay grounded. Seek feedback. Be curious.
  • Be Passionate: Love what you do. Love what we do.
  • Embrace Challenge:  See obstacles as opportunities to learn and grow. 
  • Be Accountable: Take ownership. Be reliable. Be proactive. 
  • Care Personally About Each Other: Show compassion, empathy and open-mindedness


We are excited to consider talented individuals from across the country. However, please note that we currently do not support candidates residing in the following states: Alaska (AK) / Delaware (DE) / Hawaii (HI) / Kansas (KA) / Louisiana (LA) / Maine (ME) / Montana (MT) / Nebraska (NE) / Nevada (NV) / New Mexico (NM) / North Dakota (ND) / South Dakota (SD) / Vermont (VT) / Wyoming (WY) 


We thank all candidates for their interest in RoadRunner, but we cannot respond to everyone personally. Only those selected for an interview will be contacted. We look forward to reviewing your application! 


RoadRunner is an affirmative action and equal opportunity employer and is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. It is the policy of RoadRunner that qualified individuals with disabilities are not discriminated against because of their disabilities regarding job application procedures, hiring, and other terms and conditions of employment. It is further the policy of RoadRunner to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process. RoadRunner is prepared to modify or adjust the job application process or the job or work environment to make reasonable accommodations to the known physical or mental limitations of the applicant or employee to enable the applicant or employee to be considered for the position he or she desires, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship.



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Tags: AI strategy AWS Azure Computer Science GCP Jira KPIs Machine Learning MLFlow Privacy Scikit-learn TensorFlow

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States

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