Job Details

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.

Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.

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. xywuqvp
• Real estate domain exposure (brokerage ops, property management, maintenance, customer support).