Founding Engineer

Embedding VC • San Francisco, CA

7h • Hybrid

About The Position

TierZero’s mission is to accelerate software engineering. Today, engineers spend 50–70% of their time not building - chasing alerts, fighting fires, answering questions, and monitoring releases. We are building AI agents that take this work off their plate, unlocking creativity and speed. The opportunity is massive: a $1.5T productivity market waiting to be reclaimed.

Coding has become 10x easier with modern AI tools, yet engineering roadmaps haven’t gotten 10x faster. The bottleneck: alerts, incidents, support requests, deployments, performance issues, and the growing operational overhead of modern systems. TierZero solves this by deploying self-learning AI agents that handle these operational workflows end-to-end, giving engineers back their time and accelerating delivery.

Alerts and incidents: TierZero automatically runs impact and root cause analysis on top of existing telemetry, infrastructure, codebase, and documents. It proposes and executes code changes, rollbacks, and other remediation steps.

Support engineering: TierZero does not just answer common questions in #ask-infra or #ask-eng, it goes 3 steps further by investigating the underlying issue, pulling the necessary context, and taking custom actions to resolve the problem end-to-end.

Performance & Release engineering: TierZero understands how code behaves in production, spotting performance issues, hidden trends, and regressions as they emerge. It monitors releases, surfaces anomalies, investigates their root causes, and flags problems before they become incidents.

As a founding engineer, you’ll help invent and build the core product and systems from the ground up. You’ll work directly with the CEO, CTO, and most importantly, our customers. Things change regularly, and here are examples of the types of work you’ll be working on:

Requirements

• Has a valid US Visa or work permit
• Work in SF in person 3 days a week
• 5+ years of experience
• Expertise in React and Python
• Thrives in ambiguity
• Is product minded & customer first thinking
• Interested in working with LLMs, MCPs, Cloud Infrastructures, and Observability tools
• Worked at a startup before and survived

Responsibilities

• Design and implement agentic AI systems that reason about large sets of unstructured data
• Ship full-stack features with direct user feedback
• Contribute to the product experience so agents aren’t just smart, but usable and trusted by engineers
• Build systems to automatically evaluate LLM outputs and improve agentic reasoning through self-play and feedback loops
• Construct ML pipelines, including data ingestion, feature generation, embedding stores, RAG pipelines, vector search infra, and graph databases
• Explore and prototype with open-source and frontier LLMs to evaluate tradeoffs
• Build scalable infra to support long-running multi-step agents, including memory, state management, and async workflows
• Participate in everything from company strategy to customer calls to office snacks

Benefits

• Medical, Dental, Vision insurance, commuter, FSA/HSA
• 401(k)
• Lunch & Dinner in the office
• Snacks and drinks
• Latest macbook + iPad Air
• Cursor, Claude Code, Windsurf, and near unlimited budget to test out new software and models

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed