Job description

This role requires a hybrid schedule and will be based in our New York, NY office (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. 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. Curious how Home fits into Red Ventures? Click here . 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 seeking an Associate, AI Product Manager to join our central AI Products team within Home Client Services. Our team builds AI-native products that transform how customers and agents interact with our clients and businesses. One of our flagship initiatives is our AI voice platform that powers intelligent conversational experiences across sales and operational workflows. Leveraging modern LLMs, speech technologies, real-time decisioning, and internal AI infrastructure, we create scalable solutions that enable teams to deploy AI-driven interactions and agent assistance to improve customer outcomes at scale. 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, AI Product Manager, 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. 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-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT5, Claude). Thorough knowledge in statistics and machine learning techniques Analytical self-sufficiency: Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau) Compensation: Total Cash Compensation Range: $125,000 - $145,000 per year Actual compensation varies based on location, experience, and qualifications. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements . This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here . #LI-LR1 At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there! Click here for more details regarding the employee privacy policy: redventures.com Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Requirements

Must-haves

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.
Curious how Home fits into Red Ventures? Click here .
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
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
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
Analytical self-sufficiency: Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau)
Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Nice-to-haves

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Keywords to mirror

aimlmachine learningllmpythonsqlrest

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Pto

Paid Time Off