Product Manager, GEEIQ

• Experience: 5–10 years of experience in product management, ideally in a B2B Martech, SaaS or tech-focused startup environment. You have a track record of shipping high-quality, delightful products
• AI Product Fluency: Experience defining user problems suited for Generative AI, collaborating on models or heuristics, and establishing evaluation approaches for quality and accuracy. You actively leverage AI to solve user problems and continuously improve your own craft
• Ability to Write Persuasively: You write strategy memos that align the team, product specs that empower our engineers, and communication that brings stakeholders along. You value clarity over fluff
• Basic Technical Fluency: You can seamlessly engage with an engineering team of 10 on integration constraints, data contracts, and system trade-offs—no coding required
• High Standards for Craft: You care about the user journey and edge cases. You move with urgency and take pride in shipping great products
• A "Get It Done" Mentality: You have a strong bias for action. You are comfortable operating in the ambiguity of a Series A startup and are willing to roll up your sleeves to move projects forward

Desirable

• As a Product Manager, you will play a pivotal role in shaping the direction of our marketing analytics platform
• We are looking for an AI-first product thinker, someone who understands how to bridge the gap between complex virtual world data, cutting-edge AI capabilities, and human-centric workflows
• You will work closely with our lean engineering and design teams to deliver impactful solutions. You won't just ship features; you will deliver measurable outcomes, taking ownership of the product development lifecycle from ideation to launch while bringing a "get it done" mentality to our fast-paced environment
• Own the Vision & Roadmap: Define product features in alignment with company goals, customer needs, and market trends. Use your intuition and data to make hard trade-offs between what unblocks our customers today and what enables their success tomorrow
• Ship AI-Native Products: Own the lifecycle of AI-enhanced experiences. Envision and prototype intelligent features, always ensuring human-in-the-loop controls, clear boundaries of authority, and safe, auditable behaviors
• Evaluate AI Flows Rigorously: Partner with engineering to test and measure AI helpfulness, accuracy, and safety, accounting for real-world complexities in marketing analytics data
• Co-Create with Customers: Talk to customers, sales, and client services teams weekly. Build rapid feedback loops to deeply understand user workflows, JTBD (Jobs to Be Done), and pain points
• Cross-Functional Collaboration: Lead cross-functional cycles with urgency and agency. Work tightly with your engineering (backend and frontend) and design counterparts to ensure user-centric design, scalability, and technical feasibility
• Agile Execution & Autonomy: Lead product development cycles using agile methodologies. Do the simple thing first to validate your hypothesis, manage backlogs, and prioritize initiatives to balance short-term needs with our long-term vision
• Data Analysis & Metrics: Define north-star and guardrail metrics. Analyze both qualitative and quantitative data to make data-informed prioritization decisions and refine product offerings

• Application Deadline: May 31, 2026