Amplitude is a leading digital analytics platform. More than 1,900 customers, including Atlassian, Jersey Mike's, NBCUniversal, Shopify, and Under Armour rely on Amplitude to gain self-service visibility into the entire customer journey. When teams understand how people are using their product, they can deliver better product experiences. With Amplitude, teams can understand what product features are working, where users are getting stuck, and what actions lead to the right outcomes. Nothing is more critical to driving revenue growth. Amplitude is the best-in-class analytics solution for product, data, and marketing teams, ranked #1 in multiple categories in G2’s 2022 Winter Report. Learn how to optimize your digital products and business at amplitude.com.

Everyone’s building with AI. Most are shipping unused feature add-ons, slapped onto their products with pretty animations.

We’re not doing that. We’re building an intelligent platform that handles orchestration, evals, monitoring, and internal + customer-facing agents. We want systems that scale, tools that abstract away AI weirdness, and a dev experience that’s delightful.

You’ll be part of a small, scrappy, high-context team working across the entire LLM stack — from prompt design to infra to monitoring to customer-facing UX. We move fast, own our work, and prioritize quality + learning over throwing models at the wall. 

It’s ambitious, but we think this team has the potential to build something that becomes bigger than Amplitude’s core business in a short period of time. And we have the support of the company to do that.

What will you do?

• Own core backend systems and infra for our agent orchestration layer
• Help lay the foundation of our internal AI platform (orchestration, evals, monitoring, prompting, guardrails)
• Build out individual tools and agents and workflows that interface with the rest of the Amplitude platform
• Work closely with product engineers to connect backend to UI in a seamless dev loop
• Define and implement best practices for LLMOps (tooling, evals, latency mgmt, tracing)
• Ship fast and safely — we favor momentum and reliability over bureaucracy
• Be an early voice in the architectural and product direction of this team

You might be a fit if:

• You have 5+ years of backend or platform engineering experience, ideally in high-scale, high ambiguity, or fast-moving environments
• You’ve shipped AI/LLM systems (RAG, eval pipelines, agents, etc) or are hungry to learn
• You love building internal tools and abstractions that make other devs faster and safer
• You understand the weirdness of LLMs — non-determinism, latency, token costs — and how to design around them
• You write clear, maintainable code and care deeply about testing and observability
• You like owning ambiguous problems end-to-end, not just closing JIRA tickets

Bonus if:

• You’ve worked in data or infra teams before
• You’ve built agent frameworks or LLM-based systems
• You’ve been part of a small startup or skunkworks team and thrived in uncertainty
• You’ve been a founder or early-stage at a startup

Why us?

• Scale — We’re a $300M+ ARR business and are working closely with our customers to co-develop this next product.
• Data — the existing analytics infra we’ve built puts us in a unique position to build useful AI products
• Org commitment — We are all in on this and devoting lots of company $ to it. This isn’t a sideshow research project.
• Tight team — We’re keeping the team intentionally small and insulating it from org bloat — no roadmap review, etc.
• Work closely with the Amplitude co-founders

We’re betting the next chapter of Amplitude is AI-native — and this team is leading that charge

Our product sits on top of many modern technologies, including Real-Time Stream processing, Kafka, Redis/Elasticache, Amazon S3, DynamoDB, Kubernetes, Terraform. You will share your ideas with a group of similarly innovative and curious engineers.