MaxHome.ai - Business Operations Associate - Consulting/BigTech

Description:

The Role:

MaxHome is hiring an Business Operations Associate to partner with customers to discover high-priority use cases and deploy our product to deliver outcomes. Youll blend consulting-grade problem solving with startup-speed execution: run structured discovery, frame ROI, scope pilots, configure the product, and measure impactthen codify what works into repeatable playbooks.

What Youll Do

Discovery & Outcome Design (~50%):

- 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 (~50%):

- Configure and launch MaxHome: data connections, roles/permissions, prompts/templates, evaluation criteria, and guardrails.

- Drive pilots production: own plans, owners, risks, and acceptance tests; partner with IT/Sec/Legal to unblock.

- 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).