Associate, AI Product Manager | Consumer Team

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.

Red Ventures Home empowers partners through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic client partnerships. We help our clients unlock significant and sustainable growth across the home services ecosystem, ranging from telecom and security to energy and home automation.

We are looking to hire an Associate AI Product Manager to join our Home Client Services division. This product team is responsible for transforming organizations’ customer acquisition, retention and business operations through applications in AI & ML. In this role, you’ll help tailor, optimize, and scale data science solutions to solve specific partner and customer challenges, ensuring our technology delivers measurable value in the marketplace. An example project includes building and deploying real-time technology, powered by generative AI, to assist our sales professionals.

You will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or product management on an AI/ML consumer-facing application.

Curious how Home fits into Red Ventures? Click here.

What You'll Do:

• Identify opportunities: Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action
• Translate insights into execution: Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead
• Execute technical workstreams: Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:
• Data pipelines to gather, manipulate, prepare, and visualize large datasets
• Machine learning models for offline and proof-of-concept use cases
• LLM workflows to automate tasks or for reasoning capabilities for specific features in your product
• End to end ownership of experiments: Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative
• Stay ahead of the curve: Research advancements in machine learning and generative AI to identify innovative ways to solve business challenges

Who You Are:

• Analytical thinker: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation
• Resilient learner: Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. You take a proactive approach to overcoming obstacles
• Creative problem solver: An entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact
• Technically fluent: You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders

Experiences You’ve Had:

• Real-world product experience: Experience working on a product—whether as a product manager, product analyst, or data scientist.
• Data-driven problem solving: Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences
• Applied ML/AI: Hands-