368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$135k – $280k per year
Location
In office (San Francisco, New York)
Employment
Full-Time
Overview
Company
Impact
Profile match
Assembled is a customer support operations software company headquartered in San Francisco, California, and founded in 2018 by former Stripe employees. The company provides workforce management tools for forecasting support demand, scheduling agents, and tracking performance, and has added AI agents that resolve tickets directly. It serves support organizations at technology, fintech, and consumer companies that run large distributed service teams.

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 $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.

The problem

Every support team on earth is trying to answer two questions: how much work is coming, and who should be working when. Get it wrong in one direction and customers wait hours for help; get it wrong in the other and the company burns millions on idle staff. Forecasting and scheduling is where Assembled started, and it's still the engine that powers hundreds of thousands of schedules.

Under the hood, this is a genuinely hard problem: it's a descendant of the nurse scheduling problem, which is NP-hard. But the algorithm is maybe 20% of the job. The other 80% is product, specifically producing a schedule that's mathematically optimal but easy to understand and adjust.

What you'll work on

You'll own problems end-to-end: from a fuzzy customer complaint, through the data model and APIs, to a polished interface that ships. Representative projects from this team:

  • Rebuilding the schedule editing experience so a workforce manager can generate a schedule for 2,000 agents that automatically optimizes for customer satisfaction

  • Designing how we capture messy real-world constraints from labor laws to union rules, and turning them into something both humans and solvers can reason about

  • Shipping forecast interfaces that show a prediction of number of people needed at any 15 minute interval, and building it so customers trust the number enough to staff against it

  • Making schedule generation feel instant for our largest customers, even when the underlying solve is anything but

You might be a great fit if you

  • Have built a great product before. You can point at something you shipped, explain the hard decisions behind it, and tell us how customers reacted.

  • Are a strong generalist. You move across the stack without ceremony and pick up new domains quickly. You care more about solving the problem than which layer it lives in.

  • Have solved a hard problem and can tell the story. You've taken something ambiguous, whether technical, organizational, or both, and driven it to a real outcome.

  • Sweat the details. You've caught yourself fixing a misaligned pixel or rewriting an error message nobody asked you to, because shipping something sloppy bothers you.

  • Have found yourself asking "why is this so painful for the user?" and then done something about it, even when it wasn't your job.

Nice to have (but truly not required)

  • Familiarity with scheduling algorithms, operations research, or constraint solvers

  • ML or algorithmic background in forecasting, optimization, statistical modeling

  • A past life in a different field (e.g. support, operations, math, physics) that gives you empathy for the people who use what you build

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!

For United States Applicants:

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.

For United Kingdom Applicants:

Assembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$17k – $47k per year (Estimated) • Remote/Hybrid • Internship • 5+ years exp • Minsk
Go
JavaScript
Python
AI/ML
AI Agents
Claude
Claude Code
Copilot
Cursor
LLM
Prompt Engineering
RAG
Anthropic
Function Calling
OpenAI
Frontend
React.js
DevOps
CI/CD
Docker
Git
Terraform
GitHub
Apply
$120k – $180k per year • Equity 0.2–1.5% • In office • Full-Time • 1+ year exp • San Francisco
Python
AI/ML
AI Agents
ChatGPT
DevOps
Error Budget
Apply
$230k – $300k per year • Equity 0.1–0.2% • In office • Full-Time • 3+ years exp • PhD • New York
TypeScript
Databases
PostgreSQL
AI/ML
AI Agents
Claude
Claude Code
Cursor
Devin
OpenAI Codex
Frontend
Next.js
tRPC
DevOps
Platform Engineering
Vercel
Apply
$13k – $17k per year (net) • Remote/Hybrid • Full-Time • 3+ years exp • Saint Petersburg
AI/ML
ChatGPT
Claude
Copilot
OpenAI Codex
DevOps
Grafana
Kibana
QA
Postman
Apply
$150k – $200k per year • Remote • Full-Time • 11+ years exp
YARA
Databases
Apache Kafka
ElasticSearch
OpenSearch
AI/ML
AI Agents
Embeddings
RAG
Semantic Search
GraphRAG
Knowledge Graph
Semantic Search
DevOps
Kubernetes
Vector
Cybersecurity
MITRE ATT&CK
STIX
TAXII
YARA
Apply
Product Designer 20 days ago
$150k – $215k per year • Equity • In office • Full-Time • 3+ years exp • New York
AI/ML
AI Agents
Claude
Copilot
Cursor
Apply
$150k – $215k per year • Equity • In office • Full-Time • 4+ years exp • San Francisco
AI/ML
AI Agents
Claude
Copilot
Cursor
Design
Figma
Apply
$190k – $260k per year • In office • Full-Time • 5+ years exp • San Francisco • New York
AI/ML
AI Agents
Copilot
Apply
$160k – $270k per year • Equity • Remote • Full-Time • 3+ years exp
TypeScript
JavaScript
AI/ML
AI Agents
Copilot
Frontend
Chart.js
React.js
Storybook
visx
D3.js
DevOps
CI/CD
Apply
$160k – $270k per year • Equity • In office • Full-Time • 3+ years exp • San Francisco • New York
TypeScript
JavaScript
AI/ML
AI Agents
Copilot
Frontend
Chart.js
React.js
Storybook
visx
D3.js
DevOps
CI/CD
Apply
$293k – $385k per year • In office • Full-Time • San Francisco
AI/ML
OpenAI
Apply
$180k – $260k per year • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • San Francisco
Python
AI/ML
ChatGPT
OpenAI
OpenAI Codex
Cybersecurity
FedRAMP
Apply
$180k – $210k per year • Equity • In office • Full-Time • San Francisco
Node JS
JavaScript
Databases
PostgreSQL
DevOps
PagerDuty
Web3
TRM Labs
Management
Slack
Apply
$252k – $335k per year • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco
AI/ML
ChatGPT
Human-in-the-Loop
OpenAI
OpenAI Codex
DevOps
SLI/SLO/SLA
Apply
$223k – $424k per year (Estimated) • In office • Bachelor's Degree • San Francisco
AI/ML
AI Agents
LLM
Recommender Systems
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.