Assembled-posted 2 months ago
Full-time • Mid Level
Hybrid • San Francisco, CA
101-250 employees
Publishing Industries

Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we're at the forefront of support operations technology. 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.

  • 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.
  • Improve LLM model results for voice applications: Enhance our voice recognition and generation engine using advanced techniques.
  • Develop voice AI infrastructure: Architect the abstractions that enable integration of various types of LLMs tailored for voice applications.
  • 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.
  • 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.
  • Generous medical, dental, and vision benefits.
  • Paid company holidays, sick time, and unlimited time off.
  • Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting.
  • Paid parental leave.
  • Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices.
  • 401(k) plan enrollment.
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