Decagon

Technical Recruiter

• Partner with company leaders and Co-Founders to build our Engineering teams
• Think outside of the box to engage with and close top talent
• Build and optimize interview processes for speed and efficiency
• Operate with a one team mindset in meeting bold team wide hiring goals

Senior Technical Recruiter, Engineering

Director

• Develop a strategy to break into and close key strategic logos for Decagon
• Develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders)
• Understand the customer's business, challenges, and strategic priorities to uncover new opportunities for expansion
• Collaborate with internal teams (founders, deployment strategists, engineering, etc.) to deliver tailored solutions
• Forecast and accurately report on pipeline and revenue
• Develop and execute account plans to execute strategic deals
• Provide feedback and insights to product and leadership teams to influence the company's roadmap
• Maintain expert-level knowledge of the company's products, services, and industry trends
• Expect moderate travel.

Director, Strategic Accounts

Solutions Engineer

• Help shape the future of Decagon’s AI-powered solutions in the enterprise space
• Serve as a technical advisor and trusted consultant to enterprise prospects and customers
• Drive value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems

Strategic Solutions Engineer

Full-stack Engineer

• Own the architecture of Decagon’s real-time voice runtime and shape its long-term roadmap
• Lead initiatives that improve speech understanding, synthesis quality, and conversational timing
• Define reliability, testing, and observability standards for live voice interactions
• Build frameworks that make voice systems easy to debug, measure, and iterate on
• Mentor senior engineers and help expand the technical culture of the Voice group

Staff Software Engineer, Voice Agent

• Own the architecture and evolution of the core execution engine behind Decagon agents
• Lead design for systems that coordinate complex reasoning and action flows at scale
• Drive reliability, testing, and observability standards across the orchestration stack
• Create frameworks that enable safe, fast iteration on agent behavior
• Mentor senior engineers and help grow the technical culture of Agent Orchestration

Staff Software Engineer, Agent Orchestration

• Drive technical direction for the Agent Building platform, establishing patterns and architecture that scale with our customer base and features
• Lead complex initiatives from ambiguous requirements to shipped products
• Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code
• Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve
• Partner directly with customers and cross-functional teams to identify opportunities and validate product direction
• Mentor engineers and elevate team practices through code review, technical design, and knowledge sharing

Staff Software Engineer, Agent Development

• Lead the architecture and technical direction for a new insights platform used by CX and product teams
• Build the foundational product experiences that help users understand customer intents, agent behavior, and voice of customer patterns
• Define workflows and visualizations that guide customers toward writing better AOPs and improving agent quality
• Drive fast iteration by testing ideas quickly, gathering feedback, and refining product direction based on real usage
• Mentor engineers, establish engineering norms, and help grow a high-performing new team
• Partner with PM, Design, and Agent Engineering to shape the long-term roadmap for insights at Decagon

Staff Software Engineer, Insights

Machine Learning Engineer

• Design and build distributed training platforms for LLM and multimodal fine-tuning and post-training at scale
• Implement and integrate state-of-the-art training algorithms into production pipelines
• Own inference architecture and multi-provider routing, including failover and optimization
• Research and implement inference optimizations including quantization, speculative decoding, and batching strategies
• Lead initiatives to improve latency and cost efficiency across the training and serving stack
• Build evaluation and experimentation infrastructure that enables rapid, reliable iteration
• Drive technical direction, mentor engineers, and establish best practices for ML infrastructure

Staff Software Engineer, ML Infrastructure

• Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
• Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.
• Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.
• Evolve CI/CD, golden paths, and self-service tooling to improve developer velocity and safety.
• Support various deployment architectures for customers with robust observability and upgrade paths.
• Lead infrastructure-as-code (Terraform) and GitOps practices; reduce drift with reusable modules and policy-as-code.
• Participate in on-call and drive down toil through automation and elimination of recurring issues.

Senior Technical Recruiter, Engineering

Director, Strategic Accounts

Strategic Solutions Engineer

Staff Software Engineer, Voice Agent

Staff Software Engineer, Agent Orchestration

Staff Software Engineer, Agent Development

Staff Software Engineer, Agent Development

Staff Software Engineer, Insights

Staff Software Engineer, Agent Orchestration

Staff Software Engineer, ML Infrastructure

Staff Software Engineer, Insights

Staff Software Engineer, Infrastructure