Engineering Lead – AI-Driven HR Platforms | Equity & PTO

Cascade AI; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Meaningful equity

Competitive compensation

Unlimited PTO

Comprehensive benefits

Job summary

Cascade AI in San Francisco seeks an Engineering Lead to guide the team building our next‑gen end‑user experiences for AI agents that automate HR workflows. This hands‑on leadership role manages engineers, owns architecture, and partners with product and design to ship reliable, high‑performance interfaces.

You’ll mentor engineers, drive full‑stack development, design scalable frontend/backend systems, and align technical decisions with business goals.

Qualifications

• 7+ years of professional software engineering experience, including time leading or managing engineers.
• Strong proficiency in Python (required).
• Strong cloud experience (required).
• Strong system design experience (required).
• Track record of owning large, multi‑sprint initiatives end‑to‑end and shipping them.
• Strong product intuition — able to turn ambiguous requirements into concrete technical plans.
• Experience with scalable architectures and containerized deployments (Docker/Kubernetes).
• Clear communicator who can align engineering decisions with business goals and operate with autonomy.

Responsibilities

• Lead and grow a team of engineers — own day‑to‑day execution, technical direction, and the team’s delivery and health.
• Drive full‑stack development of Cascade’s core end‑user experiences: conversational interfaces, workflow surfaces, and agent‑driven interactions.
• Architect frontend and backend systems that support real‑time, long‑running HR workflows.
• Make and guide architectural decisions that balance performance, reliability, and rapid iteration.
• Mentor and develop engineers through code reviews, pairing, and direct technical and career guidance.
• Partner cross‑functionally with product, design, and the AI/LLM platform team to define roadmap priorities and shape features.
• Turn user feedback into iterative improvements that increase clarity, trust, and engagement.
• Own production excellence: monitoring, observability, and incident response for your surface.

Skills

Leadership experience

Strong communication

Python

Cloud experience

System design

Ownership of initiatives

Autonomy

Product intuition

Tools

Docker

Kubernetes

LangChain

LangSmith

WorkOS

MongoDB

Elasticsearch

Azure

GCP

Job description

Cascade AI in San Francisco seeks an Engineering Lead to guide the team building our next‑gen end‑user experiences for AI agents that automate HR workflows. This hands‑on leadership role manages engineers, owns architecture, and partners with product and design to ship reliable, high‑performance interfaces.

You’ll mentor engineers, drive full‑stack development, design scalable frontend/backend systems, and align technical decisions with business goals.