AI Product Engineer
San Francisco, CAFull-timeSeen 2mo agoStill listed today
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At a glance
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Job overview
Landmark, born out of Bungalow, is building an AI-native property management platform. The AI Product Engineer will develop workflows and tools that streamline operations, support residents and operators, and turn operational problems into production software. The role spans software, AI, and operations, with ownership from idea through deployment and outcomes, and emphasizes rapid experimentation, operator collaboration, and improving how the team builds.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Company & Role At Landmark, we believe better living starts with exceptional experiences for owners, residents, and operating teams. Born out of the engineering labs at Bungalow, we’re reimagining property management from the ground up — building an AI-native architecture that streamlines operations, delivers real value to customers and operators, and lets us scale faster than anyone in the industry. We’re hiring an AI Product Engineer to build the workflows and tools that power that vision. You'll live at the intersection of software, AI, and operations: one week an automation that saves an ops team hours a day, the next an AI feature the whole company relies on.
You’ll build with the freedom of a new platform, backed by real users and rich operational data, and see your work make an immediate impact. If you’re a generalist who loves turning messy, real-world problems into software that drives results in days — not quarters — and you want to shape how AI transforms one of the world’s most essential industries, let’s talk.
Your Mission Build & Ship Fast: Turn operational problems into working software quickly — routing work orders, coordinating vendors, answering residents, keeping rent on track. Build with AI at the Core: AI carries real operations here — supporting residents, triaging maintenance — so evaluation, observability, and human feedback loops matter as much as the model. Embed with Operators: Shadow real workflows, find the bottlenecks, and ship high-leverage solutions that unblock the people doing the work. Own the Outcome: Take problems from idea to production — the code, the data, the deployment, and the results. Stay Curious: Follow what's new in AI closely, test it quickly, and keep what makes us faster. Improve how we build, not just what we build.
What you bring Experience: 5+ years of software engineering, including shipping production AI features. Generalist Range: You can stand up a backend service, build a frontend application, and design an agentic workflow — and move between them comfortably. Customer Obsession: At ease working directly with operators and customers — you'd rather see a problem where it happens than read about it in a ticket. Product Judgment: You turn ambiguous operational problems into shipped software. You choose the work that moves the business.
Perks + Parameters Equity: Competitive Location: Presidio, San Francisco, CA [hybrid — 3 days/week] Benefits: Health, dental, and vision
The Stack AI: Agno, Qdrant, Braintrust, OpenAI / Anthropic Backend: Python, FastAPI, Django Frontend: TypeScript, Vue + Nuxt, React, Tailwind Data: PostgreSQL, Redshift, Airflow, Metabase, dbt Infrastructure: AWS, Vercel, Terraform Observability: Sentry, CloudWatch, PostHog
How this job compares
Set against the 34,041 open Software Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- California median$165–246K/yr7,363 salary ranges
- California median$48–64/hr108 hourly ranges
- Openings
- Olive Jobs lists 9,127 open Software Engineer jobs in California and 34,041 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (27,547 postings).
- Education
- 12,670 of the 34,041 open Software Engineer jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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