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Location: San Francisco Bay Area strongly preferred; exceptional US-remote candidates considered with regular team and customer travel

Type: Full-time

Compensation: $150K–$195K base salary + 1%–2.5% equity

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The role

We're hiring a Founding Engineer to help lead engineering execution through our next stage. From day one you'll own real product — the systems that turn what happens on a tour into intelligence our customers act on: mobile capture, AI insights, customer-facing dashboards, and the infrastructure underneath. You'll work shoulder-to-shoulder with us and directly with our customers to decide what to build, ship it, operate it, and learn from how it's actually used.

This role is deeply hands-on — you'll spend most of your time building. We're an AI-native team and we lean hard on AI coding agents to move fast, so fluency with them is a must-have, not a nice-to-have.

We'll trust you with real autonomy and near-founder ownership of engineering. You'll take ambiguous problems, build them end-to-end, and ship real value without waiting for anyone to hand you a spec.

What you'll do

• Design and operate agentic and LLM systems — orchestration, tool use, retrieval, memory, and the evaluation and monitoring that keep them reliable in production
• Build the backend underneath it — services, data models, APIs, and asynchronous processing pipelines, plus the integrations that connect firsthand signals to inventory, CRM, PMS, and leasing outcomes
• Ship customer-facing AI workflows across web and mobile, and work directly with customers to turn adoption friction into product decisions
• Use AI coding agents as a core part of how you work — planning, building, reviewing, and shipping — while staying accountable for architecture and correctness
• Set the technical direction — pragmatic architecture calls, engineering standards, and a roadmap tied to real customer usage

What we're looking for

• Production LLM or ML experience — not only prototypes. You've shipped AI features real customers depend on
• AI-native by default. You already use AI coding agents to do real production work and hold high expectations for what they unlock
• Deep backend and data ability. API design, data modeling, asynchronous jobs, and external integrations, with enough full-stack range to finish an end-to-end customer workflow
• 4+ years of professional engineering experience, or equivalent evidence of exceptional end-to-end ownership of production software
• High agency and strong product judgment. You turn ambiguous customer problems into shipped products without hand-holding, and you're willing to spend time with users
• Sound instincts around reliability, privacy, and sensitive data, and clear communication about decisions, risks, and tradeoffs

Especially relevant experience

Early-stage or startup engineering · vertical SaaS or workflow software · CRM, PMS, ERP, or other system-of-record integrations · evidence-backed AI, evaluation systems, or human-review workflows · products in regulated or high-trust environments.