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Phoebe

Fullstack Engineer

  • Seen live on Phoebe's site yesterday
  • Mid level
Pay
Not stated
Location
New York City
Open for
17+ days
First seen
Oct 18, 2026

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Phoebe's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Phoebe, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Phoebe

Phoebe is modernizing America's home healthcare infrastructure. This is the coordination layer for one of the largest labor markets in the country.

We're looking for hungry, high-throughput generalist engineers as we scale into the multi-millions over the next 6 months.

About You

We're looking for hungry, high-throughput generalist engineers as we scale into the multi-millions over the next 6 months. You might want to start your own company one day, but aren’t sure what to build yet. You might have spent time at a larger unicorn and want to join a fast growing startup with PMF.

You will

  • Get a clear view into engineering, product, go-to-market, and the iterative loop that connects all 3
  • Learn the Vertical AI playbook
  • how to embed into an industry, learn the domain, and build LLM-driven workflows to automate it.
  • How to generate demand with modern GTM techniques across B2B and B2C

What You'll Build

  • Voice and SMS agents that automate the 24/7 shift lifecycle (confirmations, clock-ins, notes, last-minute coverage)
  • LLM orchestration across prompt engineering, tool use, context management, and evals that keep agents reliable as we scale
  • Internal ops tooling so our team can monitor agent performance, handle edge cases, and onboard new customers fast
  • Reliability and observability improvements across our voice and messaging infrastructure
  • Full-stack features from data model to API to UI, shipped to real customers within days

Your First 90 Days

  • Month 1: Ship something real. You'll pair-program with the team immediately and ship features within your first week. By the end of month one, you'll own a complete feature from design to production.
  • Month 2: Go deep on the orchestration layer. You'll improve reliability and observability across our voice and messaging stack, and contribute to how we evaluate agent quality at scale.
  • Month 3: Take ownership. You'll scope and lead a feature area yourself, such as a new EHR integration, an improvement to the talent agent product, or better tooling for our ops team.

Our Tech

  • React / TypeScript / Vite on the frontend
  • FastAPI / Python on the backend
  • Postgres (RDS)
  • Twilio for voice and SMS
  • LLMs throughout
  • AWS
  • Linear, Notion

You're a Good Fit If

  • You're a strong generalist who can work across the stack
  • You stay on the cutting edge of AI dev workflows and love using coding agents to automate engineering, observability, and the entire development workflow.
  • You ship fast and iterate based on real usage
  • You're comfortable with ambiguity and figuring things out as you go
  • You've worked with LLMs in production (or are eager to)
  • You want to be early at a company that's growing very quickly

What We Offer

  • Interesting, high-leverage work at a company growing very fast
  • $180k+ base salary with above-market equity
  • Small team where your work ships to customers immediately
  • In-person in NYC - we work in the same room
  • Multiple second-time founders to learn from - Justin (CEO) sold Bayes (YC S19) to Airtable. Dave built and sold Kamana, an app for travel nurses.

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