Forward Deployed Engineer
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 3 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Experience not stated
- Where you can live
- US only
- Skills and tools
- python, javascript
- Degree or licence
- Mentioned (degree in)
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Job details
- Where you can work
- United States
- Employment type
- Not stated by the employer
- Advertised pay
- $200K–400K/yr
- Experience
- Experience not stated
- Employer publication date
- 14 September 2026
- First recorded by Psst
- 3 November 2026
- Last checked at the source
- 10 November 2026
About the job
About the company
The company is a fast-growing technology company transforming the relationship between renters and multifamily operators. Our platform connects every aspect of apartment living - rent payments, events, services, maintenance, and community engagement - creating a lifestyle co-pilot for residents and an engagement engine for operators.
For operators, the company is more than an app: we sit at the center of their business as the data warehouse, centralization layer, and semantic layer, the operational brain of the organization. That position gives us visibility into operations, marketing, and finance data that almost no other company has, and lets us deliver personalized experiences at scale, drive long-term loyalty, and unlock new revenue opportunities.
We're trusted by industry leaders like Related Companies, Bozzuto, and Kairoi, and we're scaling fast. Our ambition is to be the market's defining Resident Operating System - we're not just building software; we're redefining how people experience home.
About the Role
As a Forward Deployed Engineer, you'll embed directly inside one of our enterprise clients as their AI transformation partner. You'll sit with their operations, marketing, and finance teams, find the deepest pain points in the business, and ship solutions in near real time.
The role works like a hands-on startup CTO operating inside a large organization: you'll walk into an ambiguous problem space, figure out what matters, build it, ship it, and own the outcome, with the leverage of the company's platform, data position, and engineering organization behind you.
What You'll Do
Embed with the client. Go deep on their organization, stakeholders, tech stack, and business model to find where the highest-value problems live, and win trust fast by solving the most urgent one first.
Build and ship independently. Design, build, and release solutions end-to-end on top of the company's platform and the client's centralized data.
Shape the roadmap. Work directly with client stakeholders to decide what gets built first, second, and third, then execute it yourself.
Own the outcome. Bring your learnings to the product team and scale your solutions beyond the first client.
Requirements
- You've scoped and built products from 0 to 1 in ambiguous environments.
- You’ve built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
- You simplify complexity and make fast, sound decisions under pressure.
- You communicate clearly with engineers, product teams, and customer stakeholders.
- You spot risks early and adjust without slowing down.
- Ability to travel up to 25% to work on-site with clients.
Nice to Haves
- Experience as a founder or in a forward deployed engineering role.
- A technical degree in CS, engineering, math, or a related field.
- Engineering or technical deployment experience that includes customer-facing work.
- Experience driving technology adoption inside large enterprises.
- Demonstrated proficiency writing and reviewing production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
Compensation
This position has an estimated annual base salary of $200,000 - $400,000, plus commission, benefits, and opportunities for equity. Actual compensation is based on factors unique to each candidate—including skill set, experience, and certifications. We're happy to discuss details transparently in our first conversation.
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