openleverjobgether
Head of Product, AI Business Intelligence
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-25T10:28:59.088000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:50624aa5-870a-4660-912f-03d71306e4d1
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Product, AI Business Intelligence based in the United States. This is a high-impact, 0-to-1 product leadership opportunity focused on building an AI-native business intelligence platform for the multifamily real estate market. You will own the product line end to end, from customer discovery and positioning through launch, adoption, and continuous improvement. The role combines strategic product leadership with hands-on execution, including prototyping, workflow design, specifications, and rapid iteration. You’ll work closely with engineering, design, data, sales, and customer-facing teams to turn complex customer needs into intuitive AI-powered experiences. A major focus will be defining how AI should be integrated into the product while ensuring outputs are accurate, explainable, safe, and trustworthy. You’ll establish strong customer feedback and evaluation loops, using real-world signals to prioritize the roadmap and continuously improve product quality. This is an ideal opportunity for a highly entrepreneurial product builder who thrives in fast-moving environments and enjoys turning ambitious ideas into products customers genuinely use. Own the AI Business Intelligence product line from discovery, positioning, and roadmap development through launch, adoption, and ongoing optimization. Define where AI and language models create meaningful customer value and where traditional product experiences are more appropriate, ensuring the platform is genuinely AI-native rather than simply adding AI to existing reporting. Conduct customer discovery, market research, and regular feedback sessions with operators, asset managers, ownership groups, and other key customers to identify needs and prioritize product opportunities. Translate customer insights and business objectives into clear product direction, specifications, workflows, prototypes, user stories, and actionable roadmaps. Partner closely with engineering, design, data science, and product leadership to rapidly build, test, and ship new AI-powered functionality. Develop evaluation frameworks, quality metrics, test suites, and feedback loops to measure AI output quality, identify edge cases, and continuously improve product performance. Establish and validate guardrails that ensure AI-generated outputs are reliable, explainable, safe, and trustworthy for customers making financially significant decisions. Shape the underlying data foundation, including data requirements, normalization, architecture, and the capabilities needed to answer increasingly complex business questions. Build structured customer feedback loops and use qualitative and quantitative signals to make focused, evidence-based prioritization decisions. Collaborate with Customer Success, Sales Engineering, and other product teams to drive successful launches, adoption, and customer value. Promote a user-centered product culture and contribute wherever needed to accelerate delivery, solve problems, and move the product forward. Requirements 9+ years of product management experience within a high-growth startup or technology company, including ownership of at least one product from 0-to-1 through launch and adoption. Demonstrated ability to build and ship products that customers actively use, with a strong bias toward execution and measurable outcomes rather than roadmap development alone. Strong product judgment, design sensibility, and the ability to turn ambiguous customer needs into simple, compelling product experiences. Proven experience leading customer discovery and synthesizing qualitative feedback into clear product strategy, priorities, and decisions. Experience defining quality metrics, evaluation frameworks, testing processes, or feedback loops and using performance data to improve products. Hands-on experience with LLMs, AI-powered products, or modern AI developmen
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