Product Manager

WisdomAI; San Mateo (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A dynamic AI-focused startup is seeking a hands-on Product Manager to drive product development and customer engagement. This role requires at least 4 years of experience in Product Management in B2B SaaS and deep technical understanding. The ideal candidate will collaborate across teams to ensure alignment and will be a critical link between customers and the development team, ensuring products meet user needs while fostering a culture of rapid iteration and feedback.

Qualifications

• 4+ years of experience in Product Management within B2B SaaS or AI-native platforms.
• Proficient in understanding APIs and data pipelines.
• Ability to interpret user analytics for product strategy.

Responsibilities

• Cultivate deep customer empathy by engaging with users.
• Evaluate product performance through data understanding.
• Act as a product evangelist, align the organization on vision.

Skills

Customer empathy

Data analysis

Technical understanding

Stakeholder management

Communication skills

Job description

About WisdomAI

WisdomAI is on a mission to make working with data delightful. We empower businesses to unlock insights, drive innovation, and make data‑driven decisions at scale. Join our rapidly growing team and be a part of a company that is shaping the future of enterprise data. We are a fast‑paced, early‑stage startup, currently ~30 people and growing.

The Role: A Builder, An Empath, and An Executor

This is not a traditional Product Manager position; it is a dynamic, hands‑on function built for the age of AI‑native product development. We are a build‑first company that values execution and rapid iteration over lengthy documentation.

At WisdomAI, the Product Manager acts as a catalyst for collective intelligence, empowering engineers and designers to propose and build, keenly capture customer feedback, and continuously strive for improvement. This role requires a minimum of 4+ years of relevant experience and a deep balance of technical understanding and customer empathy.

Core Responsibilities

• Customer Empathy and Data Mastery
• Cultivate deep customer empathy by spending time with prospects and users, observing workflows, and understanding their business context.
• Translate customer pain points into clear and actionable problem statements for the development team.
• Leverage your technical and data understanding to evaluate product performance, interpret complex analytics, and inform strategic decisions.
• Proactively track qualitative and quantitative feedback by monitoring support channels, listening to sales calls, and checking in with customer‑facing teams.
• Technical Depth and Execution Orientation
• Guide the team in choosing the right development approach for the task at hand (PM‑first, Design‑first, or Dev‑first), relying on your technical understanding of our platform.
• Define the problem and its constraints, allowing engineers to write robust solution proposals.
• Maintain a relentless execution oriented focus, seeing yourself as an extension of the development team, unblocking them and consistently following through on commitments to drive features to launch.
• Work effectively in our fast‑paced environment, balancing immediate user needs with long‑term strategic goals.
• Strategic Communication
• Facilitate discussions, lead brainstorms, and articulate a compelling product vision to align the entire organization.
• Act as a product evangelist, collaborating with sales, marketing, and customer success to clearly articulate the product’s value.
• Proactively close the feedback loop, ensuring insights from users and the market are constantly flowing back into the development process.

What You'll Bring: Qualifications

• 4+ years of experience in Product Management, specifically within B2B SaaS, Business Intelligence, Data Analytics, or related AI‑native platforms.
• Proven track record of successful product delivery and strategic execution in a fast‑paced environment.
• Demonstrated technical and data understanding—you must be comfortable discussing APIs, data pipelines, model performance, and architectural trade‑offs with customers and engineers.
• Deeply rooted customer empathy and proficiency in interpreting user analytics and business metrics to guide product strategy.
• Strong collaborative and stakeholder management skills across Product, Engineering, Sales, and Marketing.
• Excellent written and verbal communication skills.