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.
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)
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Company Overview
Problem Domain
Customer support operations and workforce management
Founded
2018
Industry
Software Development
Funding Track Record
Seed- March 2020
$3.1M
Series A- March 2021
$16.6M
Series B- May 2022
$51M
Investor Signal
“Backed by strategic SaaS and VC investors including Stripe, Emergence Capital, Basis Set Ventures, SignalFire, Felicis, and NEA”
Founders
What we do
Join the Team
Software Engineer
RemoteUnited States, US
Remote • United States, US
Who you are
Have 3+ years of experience in software engineering as an individual contributor
Have strong proficiency in a modern programming language (Go, Python, C#, etc.)
Have experience with distributed systems
Possess solid understanding of data structures, algorithms, and software design principles
Display an ownership mindset and proven track record of learning new technologies quickly
Show enthusiasm and passion for learning AI/ML technologies (no prior experience required)
Are highly ambitious and driven, setting high goals for yourself and others
Put customers first, focusing on solving real problems
Enjoy fast-paced environments and can quickly adjust when new insights emerge
Have a bit of a maverick streak that helps you come up with creative solutions
Have made a noticeable impact on small teams and have solid experience in startups or smaller companies
Stay humble and open to feedback, value teamwork, and are always ready to learn and grow
If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply
What the job involves
Benefits
Competitive compensation and equity: All Assemblers are encouraged to act like owners. We’re building the best team, and our compensation packages reflect that.
Comprehensive insurance and 401(k): Between our 401(k) plan and coverage for health, dental, vision, and more, Assemblers don’t have to worry about the future.
Employment sponsorship opportunities: We proudly sponsor employment visas for candidates who require visa sponsorship to work in the United States.
Stipends for wellness and development: Assemblers get monthly stipends for things like gym memberships and continued learning and development.
Flexible work arrangements: We love to see each other in person but we also like options. Remote employees get a one-time credit to improve their home office.
Office perks: Coming into the office has its perks, like catered lunches 5× per week, hanging out with our awesome teammates (and their dogs!), and the good snacks.
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Our Voice AI team is building autonomous AI agents that handle inbound calls for customer support, allowing human agents to focus on high-value interactions
This initiative is vital for our vision of creating the ultimate omni-channel AI customer support agent
After launching our AI Assist product, we've seen tremendous growth with a strong pipeline of deals, making this one of the fastest growing areas both inside our company and across the industry
We're currently one of the largest companies deploying voice AI in production at massive scale
By joining our team, you'll be on the cutting edge of this exciting trend, working with real-world deployments at leading tech companies
The engineering challenges are exciting and largely unsolved: achieving the perfect balance between AI agent intelligence, latency, cost, and scale while building autonomous voice agents that can reliably handle customer conversations
You'll be designing systems that scale across communication channels and pushing the boundaries of what's possible with current LLM and voice technology
As a Voice AI Agent Software Engineer, you will be partnering with our team to build our new AI-based voice agent that answers inbound customer support calls
No prior AI experience is required – we'll provide on-the-job training and mentorship
This is a unique opportunity for a highly motivated and experienced software engineer to transition into AI development while working with a specialized team
Building high-quality software for our voice AI platform, from rapid prototypes that push the boundaries of what's possible to production-ready, scalable solutions
Continuously improving our AI capabilities and accuracy through experimentation, data analysis, and innovative approaches
Implementing and optimizing LLM and voice technology while balancing intelligence, latency, and cost
Collaborating across engineering and cross-functional teams to tackle challenging technical problems throughout the full lifecycle of our voice AI products - from ideation and prototyping to deployment and monitoring
Build foundational voice features: Develop voice-specific product features from the ground up, such as implementing voice recognition capabilities powered by LLMs and intelligent categorization of incoming calls. You'll help design and build intuitive interfaces for support agents to monitor and interact with AI voice assistants
Improve LLM model results for voice applications: Enhance our voice recognition and generation engine using advanced techniques. You'll help us leverage implicit knowledge bases to improve model performance in voice contexts
Develop voice AI infrastructure: Architect the abstractions that enable integration of various types of LLMs tailored for voice applications. You'll design and implement evaluation and logging systems to monitor performance
Engage with customers: Collaborate with our customers (both support agents and managers) to understand how they interact with our voice product, and how we can improve their experience
Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, and cross-team collaboration
Shape the team culture: Encourage a startup mentality focused on product quality and taking initiative
