Software Engineer, Product

In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development?

Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams.

Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers.

We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.

• Build the interface layer of an AI-native product: chat threads and streaming responses to dynamic visualizations that render themselves based on what you asked

• Implement real-time multiplayer features so teammates can investigate incidents together, live

• Craft data-dense UI components that make complex log data, error clusters, and timeseries feel simple and fast

• Own the full slice: you'll touch the API, database queries, and React components to ship a feature end-to-end

• Push the performance of a highly interactive application: streaming, virtualized log lists, live-updating charts

• Build and extend our Slack integration as a first-class interface alongside the web app

• Help define what great developer tooling looks like in an AI-first world, and set the bar for how we build it

• Work directly with the founder to take new feature concepts from idea to shipped in days, not sprints

• Strong fullstack experience (TypeScript-heavy stacks preferred)

• Taste for product and design—you care about how things feel, not just how they work

• Ability to move quickly from idea → prototype → production

• Comfort working in ambiguity and defining problems yourself

• Strong debugging skills and curiosity about how systems behave in production

• Bonus: experience with developer tools, observability, or chat-based interfaces

Our stack is TypeScript end-to-end. We use PostgreSQL for relational data, Temporal for durable execution, and the Vercel AI SDK to orchestrate our AI agents against the latest models. At the infrastructure layer, we use Terraform, Kubernetes, and AWS.

Some of the most interesting engineering problems we grapple with are:

• AI agents at production scale

• Log processing at scale

• Multi-region data architecture

• Real-time streaming infrastructure

• Evals and reinforcement learning

• Zero-downtime deployments and fast rollbacks

• Competitive salary and equity

• Free lunches (in-office only)

• Health, dental, and vision insurance

• Unlimited paid time off

• Paid parental leave

Our team comes from Brex, Y Combinator, Rootly, Google, Doppel, and other top tech companies. We move fast and hold a high bar for both the product and each other.

We operate according to six values:

1. Integrity. We say what we mean, do what we say, and own our mistakes.

2. Urgency. We treat every week like it matters, because it does.

3. Craftsmanship. We care deeply about the quality of our work.

4. Service. We're here to make developers’ and our teammates’ lives easier.

5. Kindness. We're direct, and we move fast, but we treat each other well.

6. Fun. We genuinely enjoy working together. If you don't love what you're building and who you’re building it with, what's the point?

You can find out more about us here:

• Watch our launch video

• Read the manifesto

• Follow us on X and LinkedIn

Sazabi is more than just a tool. It’s also a philosophy. We're taking a radically different approach to observability, centered on three big ideas:

1. Less is more. Most observability platforms drown you in dashboards and modules that you don’t need. We believe observability needs less UI, not more. Sazabi surfaces exactly the information you need in a simple, beautiful chat interface.

2. Logs are all you need. The “three pillars of observability” idea is outdated. Sazabi accepts only one kind of telemetry: logs. This simplifies the instrumentation and product experience dramatically.

3. Monitoring is dead. Creating and maintaining static alerts for a fast-evolving system is a fool’s errand. The future is agentic anomaly detection: AI agents that automatically check your app for issues 24-7.

We came to these beliefs the hard way — after years of building infrastructure and responding to incidents with tools that offered plenty of bells and whistles, but no clear answers when it counted most.

If this way of thinking resonates with you, come build with us.