Decagon

QA Engineer

• Review conversations (voice transcripts and chat interactions) to ensure quality, empathy, and process adherence
• Make outbound QA calls to evaluate live agent performance and identify improvement opportunities
• Collaborate with agent product teams to validate findings, test fixes, and recommend improvements
• Maintain and refine a backlog of outstanding QA tasks and issues
• Establish, document, and maintain QA best practices, templates, and rubrics for consistent evaluation
• Define and track QA performance metrics to measure progress over time
• Build and eventually lead a team to scale QA capacity as the business grows

Quality Assurance Lead

Performance Marketing

• Build and scale Decagon’s performance marketing engine focused on paid programs across Google, LinkedIn, and other digital platforms
• Own paid campaigns end-to-end: creative briefs, launch, optimization, and reporting
• Optimize campaigns for efficiency and pipeline growth
• Work closely with sales, product marketing, and leadership to test ideas and align on pipeline goals
• Run experiments across ad copy, audiences, channels, and creative and turn learnings into playbooks
• Support broader demand generation initiatives as needed (email, landing pages, events, ABM)
• Take ownership of projects, move quickly, and learn on the job

Demand Generation Manager

Manager

• Build and scale the function that delivers world-class AI Agents for customers
• Own the strategy and execution for implementing Decagon across complex environments
• Partner with customer teams to understand workflows and design strategies aligned with their goals
• Work cross-functionally with Sales, Product, and Engineering to scope requirements, configure solutions, and ensure reliable outcomes
• Lead enterprise AI Agent implementations from kickoff through rollout, ensuring smooth execution and adoption
• Coordinate stakeholders through complex rollouts, driving alignment and ensuring every launch delivers real impact
• Establish best practices and frameworks to make future implementations faster and more repeatable
• Present to executives and design repeatable processes that raise the bar for future implementations

Implementation Manager

Full-stack Engineer

• Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
• Identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts
• Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
• Own work end-to-end: implementation through continuous iteration and ship production-quality features
• Collaborate directly with customers and leaders across industries to solve users’ needs and scale solutions to millions of users

Agent Software Engineer, New Grad

Recruitment

• Partner with company leaders and Co-Founders to help scale GTM teams
• Own and execute full-cycle recruiting to engage with and close top talent
• Build and optimize interview processes for speed and efficiency
• Operate with a one-team mindset to meet bold team-wide hiring goals
• Collaborate with the Talent team to shape org design and define hiring standards
• Leverage Gen AI-native approaches to improve Talent operations and velocity

Go-to-Market Recruiter

• Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
• Identify cross-customer trends to guide the evolution of Decagon’s agent building platform and research efforts
• Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
• Contribute directly to production-ready initiatives, collaborate with customers, and deliver high-visibility work as part of the Agent Engineering team
• Internship runs May–September and requires working onsite in the San Francisco office

Agent Software Engineer, Intern

• Rapidly hire and build out a world class team of engineers and engineering leaders in San Francisco, New York City and London
• Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
• Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents
• Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts
• Contribute to team strategy and help define the future of AI customer support agents

Director of Engineering – Agent Software

Product Manager

• Build, design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals
• Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmap
• Run tight feedback loops into Engineering — influence feature development based on real customer needs
• Represent Decagon externally — working closely with customers and prospects, participating in key deployments
• Own a portfolio of AI agents end-to-end, deploy technology into customers, and scale agents to millions of users
• Collaborate closely with Go-To-Market, Design, Engineering, and leadership teams
• Write and test prompt logic for specific customer use cases and collaborate on product feature design
• Work with customers’ executive teams to define their AI roadmap

Agent Product Manager

• Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
• Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
• We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.
• About the Team: Decagon’s Talent team partners directly with company leadership to shape org design, define what exceptional looks like, and hire the people who will shape our future. We’re Gen AI-native and constantly pushing the boundaries of how Talent teams operate - moving fast, solving hard problems, and playing a critical role in building a world-class organization.
• About the Role: Decagon is opening our second office in NYC and looking for a Business Recruiting Lead to build it from the ground up. As a Recruiter, you’ll have ownership and autonomy in partnering closely with company leaders and building world class teams. This role is for someone who is a builder at heart and driven to create outsized impact.
• In this role, you will
• Partner with company leaders and Co-Founders to build our G&A and Operations teams
• Think outside of the box to engage with and close top talent
• Build and optimize interview processes for speed and efficiency
• Lead by example and mentor team members on best practices
• Own goals for portions of business hiring
• Lead initiatives to improve broader Talent function, (brand, ops, marketing, etc.)
• Operate with a one team mindset in meeting bold team wide hiring goals
• Your background looks something like this
• Have 8+ years of experience in a full-cycle recruiting role
• You’ve built and scaled top talent teams in competitive markets
• An effective communicator and adept at building strong partnerships with stakeholders and candidates alike
• You’ve been an OKR owner and swiftly delivered on complex initiatives
• You’re comfortable navigating ambiguity and a fast paced environment
• Even better
• Bring deep knowledge of the AI talent landscape and a network of top-tier candidates
• Use data proactively to unblock hiring challenges and inform decision-making
• Have a sharp eye for talent and a clear philosophy on what separates the exceptional from the great
• Compensation
• $200k - $240k + equity