Senior Product Manager, AI

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🔥 31 minutes ago

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Logo of Buildout

Buildout

51 - 200 employees

Founded 2016

💼 Consulting

📣 Marketing

🏠 Real Estate

Consulting • Marketing • Real Estate

Buildout is a technology company that specializes in providing comprehensive commercial real estate (CRE) software solutions. Their platform offers tools for deal management, CRM, marketing, and transactions designed to help commercial real estate brokers find, win, and close more listings. Buildout leverages AI and integrative technologies to enhance CRM, streamline marketing processes, and enable efficient property data analytics, ensuring brokers can operate their businesses more effectively and with greater insight.

📋 Description

• Set the vision, strategy, and roadmap for AI: decide which skills we build, in what order, and why. • Be customer facing: spend real time with customers, watch how they actually work, test AI skills against their live workflows, and carry what you learn directly into the roadmap and eval sets. • Prioritize the backlog against broker value, technical feasibility, and quality risk, and run it from concept through launch and iteration. • Define what 'good enough' means: build and maintain the eval sets and quality bar each AI skill ships against, and review regressions before every release. • Decide deterministic vs LLM per skill. Know when a rule-based engine beats a model (our next-step recommender is a deterministic engine, not the LLM guessing). • Own prompt, context, and retrieval design and improve it against measured evaluations rather than gut feel. • Set the guardrails: grounding in real records, permission-scoping, confirm-before-action, hallucination controls, and the rollback plan for non-deterministic failures. • Turn broker workflows into skill specs an engineer can build from: trigger, what it reads, what it writes, guardrail, surface. • Ask sharp questions and unblock engineering. • Measure dual metrics: product outcomes (adoption, task success) and model quality (accuracy, groundedness, regression rate). Watch latency and cost against quality.

🎯 Requirements

• 5+ years in product management, including 1 to 2 AI/ML or LLM-powered features shipped to real users. • Hands-on experience with rapid prototyping tools (Claude, Cursor, Replit). • Comfort with prompt and context engineering, retrieval-augmented generation RAG, plus a practical grasp of what LLMs can and cannot do. • Strong product discovery skills, including customer interviews, problem validation, and translating insights into roadmap priorities. • Experience partnering closely with Engineering and Design to ship high-quality software in a fast-paced environment. • Enough technical depth to trade off model, data, and latency with engineers. • Clear communication to technical and non-technical audiences, and comfort with ambiguity and probabilistic outcomes. • Bonus if you have CRE, proptech, or vertical SaaS experience. • Bonus if you’ve built assistants, copilots, or agentic products before.

🏖️ Benefits

• Impactful insurance and benefit options, including 2 medical plans to choose from, 100% coverage of employee dental and vision insurance premiums, HSA seed, company-paid STD, LTD, life insurance, and telemedicine, and a wellness benefit of $400/year. • Policies that support a healthy work/life harmony, including Flexible PTO, 14 paid company holidays, paid parental leave, and give back days • 401(k) with 4% company match and immediate vesting • A fully remote work culture with a monthly remote work reimbursement ($600/year) to support our distributed team and an annual, in-person company kickoff • Challenging problems to solve with a committed and supportive team who are invested in your growth and development • A wonderfully quirky culture where you’re encouraged to bring your whole self to work

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