Business Operations Associate Job at MaxHome.AI, Santa Rosa, CA

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  • MaxHome.AI
  • Santa Rosa, CA

Job Description

We are seeking a highly motivated Business Operations Associate to join our team and help shape the future of our company. You will partner with customers to identify high-priority use cases, map workflows, deploy our product, and measure business impact - working closely with the founding team to ensure our roadmap aligns to customer outcomes.

What You’ll Do

Discovery & Outcome Design

  • Lead focused discovery to map customer workflows and pain points; prioritize opportunities by impact, feasibility, and time-to-value.
  • Translate ambiguity into clear problem statements, hypotheses, and success metrics (e.g., days-on-market, lead conversion, cost per ticket, SLA adherence).
  • Build lightweight business cases and experiment designs (A/B or pre/post) to prove value fast.

Product Deployment & Scale

  • Configure and launch MaxHome, along with evaluation criteria and guardrails
  • Drive pilots to production: own plans, owners, risks, and acceptance tests
  • Instrument, analyze, and communicate results; create dashboards and crisp executive readouts.
  • Enable adoption with training, runbooks, and change-management comms; monitor usage, quality, and SLAs.
  • Turn successful engagements into reusable templates, ROI models, and implementation guides.

Be the Product Expert & Customer Voice

  • Become a power user; reproduce issues, triage with Eng/PM, and channel field feedback into the roadmap.
  • Identify adjacent net-new use cases and rapidly prototype using product building blocks, expanding the value we deliver.

What Makes You a Great Fit

  • Consulting foundation: 2+ years at McKinsey/BCG/Bain (or equivalent) with client-facing ownership.
  • Analytical problem solver: hypothesis-driven, strong with numbers and crisp storytelling; comfortable designing metrics and experiments.
  • Customer-facing operator: confident with execs and frontline teams; excellent stakeholder management.
  • Technical fluency (practical): comfortable with API docs, CSVs, basic SQL/Sheets, and reasoning about data readiness, prompts, and evaluation.
  • Startup energy: high ownership, bias to action, thrives in ambiguity, fast without sacrificing quality.

Nice to Have

  • BI tools (Looker/Tableau/Mode), basic Python, workflow tools (Asana/Jira/Notion).
  • Experience deploying enterprise software or operationalizing AI/LLM use cases.
  • Real estate domain exposure (brokerage ops, property management, maintenance, customer support).

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