TierZeroâs mission is to accelerate software engineering. Today, engineers spend 50â70% 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.
Team: Our founding team is made up of pioneers in AI agents - staff and principal engineers who built foundational systems in the early days of Facebook, Databricks, LangChain, and Brex. CEO is a 2x founder with prior successful exits and owned cloud infrastructure at Pokémon GO. CTO was one of the first engineers at Databricks, where he led AI model serving and AI agent initiatives to $300M+ of revenue.
Customers: We work with multiple enterprise engineering teams, all of whom have seen meaningful transformation in reliability and velocity, and consistently volunteer to act as customer references for us.
Product: Weâve built an extensible agentic platform that unifies code, infrastructure, telemetry, and tribal knowledge. This provides full context across the entire engineering system to enable specialized AI agents for various tasks, from incident investigation to support engineering. In addition, we deliver accuracy at such a high level that we confidently provide the industryâs only 95% guarantee on agent outputs.
Funding: We are backed by legendary investors including Accel and SV Angel, who are early investors in Facebook, Atlassian, Slack, and Stripe.
Coding has become 10x easier with modern AI tools, yet engineering roadmaps havenât 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.
Weâve helped customers achieve 46% higher uptime while saving over 10,000 engineering hours per year.
Everything is Figure-out-able: We approach every challenge with creativity, optimism, and the belief that great teams can solve anything. Thereâs always a move.
High Agency: We value autonomy, thrive in ambiguity, and are energized by ownership. We trust each other to make bold decisions, move fast, and turn ideas into wins for our customers.
Wrong Answers Only: We welcome imperfect ideas, early thoughts, and bold guesses, because truth emerges faster when no one is afraid to speak up. Low ego, open debate, and psychological safety let us uncover these truths and act with conviction.
Anti-996: Over half our team, including both founders, are parents. We donât believe in 996 culture; we believe the mission is served by the intensity of our work, not the hours. We give each other the flexibility to show up fully in both work and life.
As a founding engineer, youâll help invent and build the core product and systems from the ground up. Youâll work directly with the CEO, CTO, and most importantly, our customers. Things change regularly, and here are examples of the types of work youâll be working on:
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 arenât 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 supportlong-running multi-step agents, including memory, state management, and async workflows
Participate in everything from company strategy to customer calls to office snacks
You want to work with an experienced team. CEO is 2x founder and infra leader with a previous successful exit; CTO spent a decade at Databricks, leading AI engineering
You believe that everything is âfigureoutableâ. You iterate, try things, learn, and keep pushing. You want to learn and grow fast, and build something meaningful along the way.
Youâre excited to work at the frontier. Our tech stack is pushing the envelope on technology, touching Gen AI infra, LLMs, observability, distributed systems, and real-time data pipelines regularly. We blend hardcore engineering with applied research to solve real, unsolved problems.
You want to shape the company from day one. Youâll influence product direction, culture, architecture, and how we scale.
You believe that the engineers of tomorrow are 100x more productive than even the best engineers of today, and want to accelerate towards that future.
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
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
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