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Salary
$140k – $180k per year
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
AI agents that text & call like a human to convert students. Customize AI conversation flows to guide students down personalized experiences. Never forget to follow up.
Backed by Y Combinator

About the Role

Apten is an omni-channel AI agent that automates sales and marketing conversations with millions of leads across SMS, voice, and email.

Apten communicates exactly like a human - dynamically switching between channels, personalizing every follow-up, and proactively using tools (CRMs, schedulers, lead systems) in-conversation.

We are profitable, well-funded, and growing fast.

We’re now scaling rapidly and looking for our second full stack software engineer to join us. You’ll work directly with the founding team to build core product experiences and infrastructure - from high-throughput message pipelines to voice bots, workflow builders, context management systems, AI-driven orchestration, and self-improvement systems.

This is an opportunity to own critical systems and shape the product and culture from the ground up.

What You’ll Do

  • Own and ship core features across the stack - from React frontends to AWS-based APIs, Lambdas, and microservices

  • Work directly with enterprises to build AI agents, and the data flywheels needed to give them proper context

  • Build scalable infra for messaging, AI inference, and automation at high volume

  • Experimental work - turn Apten into a self-improving, high-performance sales/marketing agent. 100% ownership, 0 bureaucracy

What We’re Looking For

  • Curiosity and drive to figure things out - whether debugging a scaling issue or building something completely new

  • Experience building and shipping production software (or equivalent skill) - personal projects are OK
  • Experience with TypeScript, React, and AWS (Lambda, ECS, DynamoDB, SQS, CDK, etc.)
  • Strong product sense - able to make pragmatic tradeoffs, prioritize for impact, and ship fast
  • Comfortable working across the stack (frontend → backend → infra)
  • Previous startup or early-stage experience a plus

Bonus Points

  • Experience working with LLMs
  • Experience with event-driven architectures and async workflows
  • Strong interest in AI-powered automation and conversational systems
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