Software Engineer, Assembled
Voice AI Agent
$135-280k
+ Stock options
In office Monday-Friday
5 days a week in office
Customer support workforce management platform
Be an early applicant
Customer support workforce management platform
101-200 employees
Be an early applicant
$135-280k
+ Stock options
In office Monday-Friday
5 days a week in office
101-200 employees
Company mission
To create a support operations platform that helps companies maintain exceptional customer experiences, no matter what lies ahead.
Role
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
What the job involves
- 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
- 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
Our take
Assembled's platform helps companies manage and scale their customer support services. Customer service management is just one of the many areas that are being overhauled by digital transformation. Assembled helps streamline cumbersome and error-prone customer support processes - such as planning support rosters, forecasting demand, and evaluating team performance.
Assembled already counts companies like Zoom, GoFundMe and Stripe on its customer books, and finds huge opportunity in key industries like eCommerce and food deliveries that have been seeing massive digital overhauls. Having received significant investment, the company seems set on continued growth, with funds cited to support product development as well as help launch its CX Scholars initiative, that will commit a percentage of revenue to continuing education for support workers.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
May 2022
$51m
SERIES B
Mar 2021
$16.6m
SERIES A
Total funding: $70.7m
Company benefits
- Equity package
- Insurance coverage
- 401k
- CSA Credit
- Stipend for use at any Assembled customer
- Professional development stipend
- Wellness stipend
Company HQ
Mission District, San Francisco, CA
Leadership
Ryan Wang
(CEO & Co-Founder)Studied at the University of Chicago and worked as a Senior Consultant at The Greatest Good. Previously a Software Engineer at Stripe.
John Wang
(CTO & Co-Founder)Studied Computer Science at MIT and worked as a Freelance Software Developer before joining Stripe.
Brian Sze
(Co-Founder)A Stanford graduate who worked in Investment Banking at RBC Capital Markets. Previously Head of Business Operations at Stripe.
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