
Industry leaders like Etsy, Robinhood, and Stripe trust Assembled to provide customer-facing AI agents and workforce planning at scale. We automatically resolve millions of interactions through chat, email, and phone while optimizing staffing for hundreds of thousands of support professionals. Our mission is to elevate customer support through AI-powered software that makes life easier for customers and employees.

Industry leaders like Etsy, Robinhood, and Stripe trust Assembled to provide customer-facing AI agents and workforce planning at scale. We automatically resolve millions of interactions through chat, email, and phone while optimizing staffing for hundreds of thousands of support professionals. Our mission is to elevate customer support through AI-powered software that makes life easier for customers and employees.
Founded: 2018
Headquarters: San Francisco, CA
Product: Workforce management and AI-driven customer support platform
Notable customers: Etsy, Robinhood, Stripe
Latest disclosed round: Series B $51M (May 2022)
Total disclosed funding: $70.7M (USD)
| Company |
|---|
Customer support operations and workforce management
2018
Software Development
$3.1M
$16.6M
$51M
“Backed by strategic SaaS and VC investors including Stripe, Emergence Capital, Basis Set Ventures, SignalFire, Felicis, and NEA”
About Assembled Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.
The Role We’re looking for a software engineer to join our Infrastructure team—building and operating the core systems that power our rapidly growing AI agent platform for customer support. Our AI Agents automates support workflows across email, chat, and voice, and has grown from $0 to $1M in ARR in just 3 months. As adoption accelerates, we’re investing deeply in scaling its infrastructure to meet increasing demand and security expectations from enterprise customers.
As part of the AI Infrastructure team, you’ll be responsible for the systems that enable Assist to be fast, reliable, and secure. You’ll work on foundational platform components that power real-time LLM usage at scale, while also exploring how AI can be leveraged internally to make our engineering team more productive. This team is highly cross-functional, working closely with the AI, security, and product engineering teams.
This is a high-ownership role for someone who’s excited by 0-to-1 building and shaping the infrastructure backbone of our AI products.
Some projects owned by the Infrastructure team
You May Be a Good Fit If You
Our U.S. Benefits
We know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.
Have 6+ years of engineering experience, with past ownership of high-scale, production-critical infrastructure
Have experience with distributed systems and container orchestration (especially Kubernetes)
Have worked with AI/ML platforms or are excited to build foundational infrastructure for LLM-based applications
Thrive in fast-paced environments with shifting requirements and ambiguous problem spaces
Are motivated by impact, enjoy deep technical challenges, and want to work cross-functionally across security, AI, and product
Have strong familiarity with one or more parts of our tech stack:
Cloud provider: AWS
Orchestration: Kubernetes + Karpenter
LLM integration: Experience with OpenAI, Anthropic, or open-source model serving (e.g., vLLM, HuggingFace TGI, Ray Serve)
Prompt & embedding infrastructure: Vector databases (e.g., Pinecone, Weaviate, PGVector), semantic search, prompt templating systems
Datastores: Postgres + PgBouncer, Snowflake, Redis
Languages: Go and Python
Monitoring & CI/CD: Datadog, Mezmo, CloudWatch, Buildkite, CircleCI