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.

We’re building AI interfaces that don’t suck.

The AI Team at Amplitude is creating new product experiences powered by intelligent agents — but we care just as much about how they show up in the UI as we do about the backend. If you’ve ever used an AI product and thought, “Why is this so unhelpful” you’re in the right place.

This role is for a fullstack engineer who leans frontend, has a strong product sense, and cares deeply about quality. You’ll own experiences end-to-end, from system design to pixel polish, and help define what “usable” AI feels like.

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 you’ll do:

• Build fullstack features with heavy frontend and UX ownership
• Craft thoughtful, fast, responsive UI components that interact with LLMs and agents
• Work closely with backend engineers to build bridges into orchestration and infra
• Pair with PMs and designers to rapidly iterate on new ideas and prototypes
• Help define best practices for AI UX — what does great prompting, feedback, and fallback look like?
• Own the end-user experience and obsess over polish

You might be a fit if:

• You have 5+ years of fullstack engineering experience
• You care deeply about design, usability, and building products people love
• You have strong product intuition and proactively identify improvements without being asked
• You’re comfortable moving fast and making smart tradeoffs
• You’ve worked in early-stage or zero-to-one teams before
• You’re curious about AI and excited to shape how it gets surfaced to users

Bonus if:

• You’ve built LLM apps, agents, or tools before
• 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.