About this role.
YipitData, a leading market research firm, is seeking an AI Product Manager to build investor-facing AI products. This role involves defining AI strategy for investor workflows, building AI-native products, and collaborating with hedge funds and asset managers. The position requires expertise in AI, product management, and financial markets. The company offers a fast-paced, high-ownership environment with significant growth opportunities. The role is central to transforming how institutional investors leverage data for decision-making.
Role DNA
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Job Complexity
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5/5Autonomy Level
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the AI Product Manager role at YipitData. With a background in product management and a deep interest in AI, I have successfully built data-driven products that enhance decision-making. At my previous role, I led the development of an AI-powered analytics platform that improved user engagement by 40%.
Your focus on transforming investor workflows using AI aligns perfectly with my expertise. I have experience working with LLMs, agent architectures, and user research to create intuitive, high-impact products. I am particularly drawn to YipitData's mission to turn complex data into actionable insights.
I thrive in fast-paced, ownership-driven environments and am eager to contribute to your team. Thank you for considering my application.
Sincerely,
[Your Name]
Sample interview questions
I would start by understanding investor workflows through user research and data analysis. Then, I would map pain points to AI capabilities, prioritizing features that offer the highest impact on decision speed or accuracy. I'd use a framework like RICE (Reach, Impact, Confidence, Effort) to score and sequence features, ensuring alignment with business goals.
I have worked with OpenAI's GPT models and open-source LLMs to build conversational agents and summarization tools. In one project, I designed a multi-agent system for financial report analysis, where agents extracted key metrics and generated summaries. I focused on prompt engineering, evaluation metrics (e.g., factuality), and iterative improvements based on user feedback.
Success is measured by user adoption, accuracy of outputs, and impact on decision-making. Key metrics include time saved per analysis, user satisfaction scores, and reduction in errors. I would establish rigorous evaluation frameworks and A/B testing to ensure the product meets investor-grade reliability standards.
During a project to build an AI copilot for data analysts, users wanted real-time insights, but the model latency was high. I collaborated with engineers to implement a hybrid approach: cached responses for common queries and streaming for complex ones. We also set user expectations with transparency about limitations. This balanced speed with accuracy.
I regularly follow AI research papers, attend conferences like NeurIPS, and participate in AI product communities. I set aside time for experimentation with new models and techniques. For example, when retrieval-augmented generation (RAG) emerged, I prototyped it to enhance our product's knowledge base, resulting in a 30% improvement in answer relevance.
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work at YipitData:
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
If your ambition is matched by your work ethic—and you’re hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About This Role
We’re hiring an AI Product Manager to build the next generation of investor-facing products powered by AI.
You’ll sit on the Public Investor team, owning products that help institutional investors turn complex data into faster, higher-conviction decisions. This includes AI-powered workflows across:
- MCPs (Model Context Platforms)
- AI agents for research and analysis
- Investor-facing portal experiences
- Data feeds and programmatic access
This is not a traditional PM role. You’ll operate at the intersection of AI capabilities, user workflows, and proprietary data, defining how cutting-edge models translate into real investor value.You’ll work directly with investors, researchers, and engineers to design systems that don’t just surface insights, but actively assist, automate, and augment decision-making. We have unmatched data. What we need is world-class user experience to unlock it—so customers can turn our insights into value at scale. That’s where you come in.
Key Responsibilities
- Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data.
- Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models.
- Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products.
- Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements.
- Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness.
- Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners.
- Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability.
- Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.
Qualifications & Skills
- 4-6+ years of product management or similar experience.
- Experience building AI copilots, agents, or internal AI tools
- Familiarity with how AI/ML models and AI agents are built and maintained.
- Strong product instincts with a track record of building 0→1 or ambiguous products
- Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals)
- Generalist knowledge of both engineering and design.
- Able to design and evaluate prompts, contexts, and model behaviors.
- Analytical thinker, comfortable with data and experimentation.
- Great communicator and collaborator.
- High ownership mindset with a bias toward action and learning
Nice to Have
- Familiarity with financial markets or investor workflows
- Experience with data platforms, APIs, or developer-facing products
- Background in analytics, research, or quantitative environments
What We Offer:
Our compensation package includes comprehensive benefits, perks, a competitive salary, and equity:
- The annual base salary for this position is anticipated to be $140,000 – $150,000, with a 10% performance bonus, and equity.
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.
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