Associate, AI Product Manager | Platform

Note on Schedule & Location: This role requires a hybrid schedule, based in our New York, NY office Tuesday through Thursday, with fully remote work on Mondays and Fridays each week.

Note on Eligibility: This role is not open to visa sponsorship or transfer of visa sponsorship (including H1-B, F-1, OPT, STEM-OPT, or TN visa), nor is it available for corp-to-corp employment.

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 technically, 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 require 1+ years of hands-on data science/advanced analytics experience or experience in product management on an AI/ML consumer-facing application.

What You'll Do:

• Identify Opportunities: Responsible for identifying opportunities to increase product impact through a deep understanding of the problem space, thorough comprehension of product strategy and technology, and advanced statistical analysis. Effectively communicate recommendations to product leads to gain buy-in and drive action.
• Translate Insights into Execution: Translate 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, including:
  • 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 provide reasoning capabilities for specific product features.
• End-to-End Ownership of Experiments: Assist in deploying features aimed at improving core Key Performance Indicators (KPIs). Conduct analyses to assess experiment impact, 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.

Qualifications:

Who You Are:

• Analytical Thinker: Possess strong analytical and critical thinking skills, capable of connecting the business problem, the approach, the data, and the relevant recommendation.
• Resilient Learner: Demonstrate strong grit and a learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems, taking a proactive approach to overcoming obstacles.
• Creative Problem Solver: Exhibit an entrepreneurial mindset and strong business acumen with an interest in solving business and customer problems to create impact.
• Technically Fluent: Have a strong technical and data foundation that enables effective communication with data scientists, understanding of relevant algorithms, and the ability to explain technical concepts to non-technical stakeholders.

Experience You’ve Had:

• Real-World Product Experience: Experience working on a product in a role such as 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, utilizing statistical programming languages or large language models (e.g., Python, R, GPT-5, Claude). Must have 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 the capacity to dig deep and understand processes (e.g., SQL, Pandas, Tableau).

Compensation & Benefits

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): Full-time employees accrue 20 days of PTO annually, increasing to 25 days after five years of service.

About Red Ventures

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 understand our core values, we encourage you to watch this brief YouTube video: Our Belief Statements.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant based on 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 merit and qualifications.

We are committed to providing equal employment opportunities to qualified individuals with disabilities, including providing reasonable accommodation where appropriate. Should you require accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.

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Hiring Process Notice: Red Ventures believes in real human connection. Therefore, we do not hire through text, social media, or email only. You should expect live conversations with Red Ventures teammates before any offer is made. Always verify our communications using official @redventures.com or business-specific email addresses. We will never ask candidates to send money, buy equipment, or share financial account information.