Arbor

SaaS

SeniorSoftwareEngineer

$170–220k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer at Arbor. Skills: Python/FastAPI, TypeScript/React, LLM apps, Voice/audio. Own features end-to-end. Ship predictably”

What You'll Achieve.

Customer impact; Immediate ROI

Industry & Context.

SaaS
Problems you'll solve

Product judgment; Clarity through chaos

Eligibility Requirements

On-call comfort

What They're Looking For.

Must Have

5+ years shipping production software, time as an early engineer at a seed/Series A startup, Full-stack generalist, sharp product judgment, Ships predictably, communicates credible, Production experience in at least one of voice/audio, LLM apps, or data/insights pipelines, Fluent in Python/FastAPI + TypeScript/React, moves across frontend, backend, and infra in a single PR, shipped against flaky third-party APIs under latency/reliability pressure, Working knowledge of LLM app development, AWS or GCP with multi-tenant SaaS security instincts, building AI for frontline enterprise

Nice to Have

Staff/tech-lead IC ready to grow into eng lead within ~12 months, Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs), speech fundamentals (ASR, TTS, diarization, VAD), Production agentic LLM workflows, Data/analytics depth, On-call comfort on a small team

What You'll Do.

Own features end-to-end

Communicate with enterprise VP

Communicate with remote CTO

Build AI for enterprise

How You'll Work.

Team & Collaboration

Async communication with remote CTO; Work with product team

Communication Scope

Communicate credible with enterprise VP; Communicate async with remote CTO

Full Job Description

WE UNLOCK GROUND TRUTH FOR THE ENTERPRISES THAT POWER THE GLOBAL ECONOMY. Billions of critical conversations happen every day in retail, hospitality, food service, logistics, and beyond — with customers and employees. Historically, these insights disappear the moment they're spoken. Arbor turns in-person conversations into executive-grade strategic intelligence. We're signing real enterprise contracts in industries that power the global economy. The opportunity is massive, the problems are unsolved, and we need product-obsessed builders to join on our journey. Must-haves - 5+ years shipping production software, including time as an early engineer at a seed/Series A startup - Full-stack generalist who owns features end-to-end with sharp product judgment — knows what to build, what to cut, when to push back - Ships predictably and communicates clearly; credible with an enterprise VP of Ops on a customer call and async with a remote CTO - Production experience in at least one of voice/audio, LLM apps, or data/insights pipelines (Umi is all three) - Fluent in Python/FastAPI + TypeScript/React; moves across frontend, backend, and infra in a single PR - Has shipped against flaky third-party APIs under latency/reliability pressure (telephony, real-time audio, payments, etc.) - Working knowledge of LLM app development: prompts, structured output, retrieval, evals, and non-deterministic systems that hold up in prod - AWS or GCP with multi-tenant SaaS security instincts (data isolation, PII, SOC 2) - Excited to be a foundational hire building AI for frontline enterprise Nice-to-haves - Staff/tech-lead IC ready to grow into eng lead within ~12 months - Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs) + speech fundamentals (ASR, TTS, diarization, VAD) - Production agentic LLM workflows: tool use, multi-step, eval-driven - Data/analytics depth: warehouse modeling, DBT, owning an insights pipeline - On-call comfort on a small team — has

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