Decagon

Research Engineer role focused on building and evolving agent harnesses, runtime systems, and orchestration layers for a conversational AI platform. The role involves designing and implementing systems for routing, execution, tool invocation, and safety guarantees, with a strong emphasis on optimizing for latency, reliability, and production correctness through experimentation and analysis of real-world failures. The position operates in a fast-moving, ambiguous environment, requiring collaboration with Research, Infra, and Product teams.

Research Engineer role focused on building and evolving agent harnesses, runtime systems, and control-plane logic for a conversational AI platform. The role involves designing distributed systems for agent orchestration, optimizing for latency and reliability, and iterating based on real-world failures and experimentation. It operates in a fast-moving, ambiguous space with tight feedback loops, collaborating with Research, Infra, and Product teams.

Staff Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents for enterprise customer experiences. Responsibilities include leading research and engineering for core conversational capabilities, building end-to-end models and pipelines, and integrating them into production systems. Requires experience in post-training and deploying LLMs, Python, ML tooling, and a track record of delivering production impact from research ideas.

Senior Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities, building end-to-end models and pipelines, and integrating new models into production systems. Requires 5+ years of AI/ML experience, prior experience post-training and deploying LLMs in production, and fluency in Python and ML tooling.

Senior ML Infrastructure Engineer to own platforms for Decagon's model training and inference, including distributed training systems, inference architecture across multiple providers, and frameworks for research and product teams. Focus on technical depth, leading initiatives, and shaping ML stack architecture.

Product Manager for the Research team at Decagon, a conversational AI platform. This role will drive the research roadmap, focusing on model training, agent architecture, and evaluation systems to enhance AI agent capabilities for enterprise customers. The PM will translate customer needs into model requirements and collaborate with engineering to deliver impactful features.

Staff Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, including routing, execution logic, tool orchestration, and control-plane systems to ensure reliable, low-latency, and delightful user experiences across various channels. The position involves optimizing for latency, reliability, and production correctness, analyzing failures, building feedback loops, and adapting systems as model capabilities evolve.

Senior Software Engineer to design and build the runtime and model orchestration layer for conversational AI agents. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for live conversations. The work involves optimizing for latency and reliability, analyzing failures, and iterating quickly to improve agent performance in production.

Staff Software Engineer, ML Infrastructure at Decagon, a conversational AI platform. The role focuses on building and owning platforms for model training (LLM and multimodal fine-tuning/post-training) and inference, including multi-provider routing and optimization. The team works at the intersection of research and production, translating ML models into scalable systems.

Engineering Manager to lead the Agent Orchestration team, responsible for the core execution layer of Decagon's conversational AI platform. This role involves building and leading a team, owning the technical strategy for the orchestration engine, driving architecture for complex reasoning and action flows, and ensuring reliability, testing, and observability. The focus is on coordinating model reasoning, tool use, and evaluation in production to enable predictable, safe, and scalable agent behavior.

Staff Research Engineer focused on developing and deploying real-time voice agents, leading research and engineering efforts for core conversational capabilities, and mentoring other team members. The role involves end-to-end ownership from prototype to production impact, with a focus on improving speech understanding, naturalness, and resilience.

Staff Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities, building end-to-end models and pipelines, and mentoring other researchers. Requires 8+ years of experience in AI/ML, prior experience post-training and deploying LLMs, and a track record of production impact.

Staff Software Engineer to design and build the runtime and model orchestration layer for Decagon's conversational AI platform. This role focuses on the agent harness, which handles routing, execution logic, tool orchestration, and control-plane systems for reliable, low-latency agent behavior in production. The work involves building distributed systems, optimizing for performance and reliability, and iterating based on real-world failures and experimentation.

The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon's agents in production. This role focuses on designing and building systems that govern how Decagon agents operate in real-world environments, including execution frameworks, model orchestration logic, and experimentation platforms to ensure agents are fast, reliable, and continuously improving. The work involves optimizing for latency, reliability, and production correctness, analyzing failures, and improving observability and testing systems.

Senior Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and deploying industry-leading conversational AI models and agents, from idea to production. Responsibilities include improving core conversational capabilities (instruction following, retrieval, memory, long-horizon task completion), building end-to-end models and pipelines, and integrating new models into production systems. Requires 5+ years of AI/ML experience, prior experience post-training and deploying LLMs in production, and a track record of delivering measurable production impact from research ideas.

Senior Software Engineer to build and ship AI agents for customer interactions on a conversational AI platform. The role involves designing and building agents that outperform human agents, identifying trends to guide platform evolution, and experimenting with/integrating text and voice models at scale for large enterprise customers.

Decagon is seeking a Senior Software Engineer to join their Agent Engineering team. This role focuses on building and shipping AI agents that manage complex customer interactions across voice and chat channels for enterprise clients. The engineer will have end-to-end ownership, identify trends to guide platform development, and experiment with/integrate latest text and voice models at scale.

Senior Product Manager for a conversational AI platform, focusing on building, deploying, and scaling AI agents for enterprise clients. The role involves collaborating with engineering and customers to design features, optimize agent logic, and define AI roadmaps, driving real-world business impact.

Product Manager for Decagon's AI-powered voice agent, focusing on delivering human-level voice performance for customer experiences. Responsibilities include defining vision, strategy, and roadmap, understanding customer needs, and translating them into product specifications and evaluations.

Customer Engineer, Agent Builder role focused on end-to-end execution of AI agent builds for enterprise customers, including configuration, integration, and validation of guardrails. Requires strong technical skills, customer interaction, and experience with LLM/AI agent development.

Staff Software Engineer, Voice Agent at Decagon, focusing on the architecture and evolution of the real-time voice platform for conversational AI customer experiences. The role involves leading projects to improve speech understanding, synthesis quality, timing, responsiveness, and reliability across millions of interactions, collaborating with Research, Infra, and Product teams. Responsibilities include defining standards for reliability, testing, and observability, building debugging frameworks, and mentoring senior engineers.

This role focuses on building AI automation agents and intelligent solutions to improve company efficiency and effectiveness. The engineer will design and deploy agents for sales processes, growth marketing, and post-sales support, as well as build an account mapping platform using scrapers, search APIs, and LLMs. The role also involves driving an AI-native culture, identifying internal champions, and defining best practices. Success will be measured by data on hours saved and additional work delivered, with a focus on internal stakeholder satisfaction.

Director of Solutions Engineering for a conversational AI platform, focusing on pre-sales technical leadership, team management, and driving enterprise adoption of AI solutions. This role involves engaging with complex enterprises, designing technical strategies, and collaborating with sales, product, and engineering teams.

Senior Software Engineer on the Enterprise Product team at Decagon, a conversational AI platform company. This role focuses on building self-serve tools and platforms for customers to create, configure, train, and optimize AI agents for customer experiences. The engineer will translate complex AI capabilities into intuitive interfaces for both technical and non-technical users, owning features end-to-end.

Decagon is a conversational AI platform company that empowers brands to deliver customer experiences through AI agents. This Senior Data Scientist role focuses on analyzing, testing, and applying data across the business to inform product strategy and company performance. Responsibilities include building datasets and metrics, enhancing data models, partnering with Engineering and Product on experimentation and measurement, building the data stack, and evaluating ML model performance.

Director of Field Engineering leading technical delivery of AI agent deployments for enterprise customers, building teams and playbooks to scale. This role involves hands-on execution, customer engagement, and influencing the platform roadmap.

Product Manager for a conversational AI platform, focusing on agent building, testing, experimentation, analytics, QA, versioning, integrations, and enterprise controls. The role involves shaping the roadmap for core capabilities that power AI agents, working with customers to transform workflows, and translating ideas into product specifications.

Product Manager for an AI agent platform, focusing on designing, building, and optimizing AI agents for enterprise customers. The role involves collaborating with engineering, understanding customer workflows, and influencing product roadmap based on customer needs and market trends. This role requires deep technical acumen in AI agents and experience in shaping solutions for large-scale deployment.

This role is for a Revenue Operations and Systems Associate at Decagon, a conversational AI platform company. The associate will be responsible for Salesforce administration, configuring sales processes, managing the GTM tech stack including AI tooling, designing automated workflows, and supporting system integrations. The role requires hands-on Salesforce admin experience, familiarity with various GTM tools, comfort with integrations and APIs, and technical adeptness with AI tools to streamline workflows. While the company is an AI platform, this role focuses on the operational and systems administration aspects of the Go-To-Market functions, rather than direct AI/ML model development or research.

Decagon is seeking a Business Development, Private Equity Lead to drive expansion by cultivating executive relationships across enterprises, private equity firms, and strategic partners. This role focuses on accelerating growth through high-impact commercial and partnership outcomes, working closely with founders and go-to-market leaders to secure meaningful relationships with senior decision-makers. It requires strong judgment, executive presence, and the ability to operate in ambiguous, founder-led situations, with a focus on driving adoption across PE portfolio companies.

Decagon is a conversational AI platform company seeking a Senior Product & Design Sourcer to fuel their rapid scaling. This role focuses on top-of-funnel sourcing for critical Product and Design hires, partnering with Recruiters and leaders to identify and attract exceptional talent. The ideal candidate has extensive sourcing experience in PM and Design, strong product/design intuition, and can develop creative sourcing strategies in a fast-paced, high-growth environment.

Decagon is seeking a Technical Program Manager to drive the end-to-end delivery of complex customer implementations and internal cross-functional programs for their conversational AI platform. The role involves partnering with teams to manage scope, dependencies, risks, and ensure timely, high-quality deployments. The TPM will translate customer requirements into program plans, drive internal initiatives like model lifecycle management and security buildouts, and continuously improve operational excellence to support company growth.

The Marketing Operations Specialist will manage and optimize the marketing tech stack, focusing on HubSpot, to support Go-To-Market (GTM) strategies. This role involves lead management, campaign analysis, performance reporting, data governance, and streamlining lead handoff processes. The position requires experience with marketing automation tools, data orchestration, and utilizing AI-driven tools for GTM automation.

The Business Value Consultant will partner with Sales on strategic enterprise opportunities, translating Decagon's conversational AI platform into quantified business impact. This role involves building ROI models, business cases, and value frameworks to accelerate deal cycles and increase win rates. The consultant will also operationalize value-based selling methodologies and collaborate with cross-functional teams.

Security Engineer role focused on securing a conversational AI platform for enterprise customers, involving implementation of security controls, building security tooling and automation, and defending against AI-enabled threats. Requires software engineering fundamentals and experience with cloud security and enterprise security requirements.

The role is for a Compliance Manager at Decagon, a conversational AI platform company. The manager will be responsible for driving compliance certifications (SOC 2, ISO 27001, PCI DSS, HIPAA, CCPA), automating evidence collection, maintaining security documentation, supporting customer security assessments, managing RFPs, and establishing vendor risk management programs. The goal is to secure customer trust and accelerate enterprise deals by addressing security concerns.

Senior Security Engineer for a conversational AI platform, focusing on application security for AI agents and enterprise customers. Responsibilities include designing security controls, threat modeling, vulnerability management, and building security tooling for AI applications.

This role is for an Agent Success Manager at Decagon, a conversational AI platform company. The role focuses on partnering with customers to guide AI agent deployments, support adoption, and ensure they achieve value. It involves cross-functional collaboration with Product and Engineering to surface customer needs and influence the product roadmap. The position requires customer-facing experience in B2B SaaS and a strong technical acumen related to agent building, though coding is not required.

The Agent Success Manager at Decagon partners with customers to guide AI agent deployments, support adoption, and ensure they achieve meaningful outcomes. This role collaborates with Product and Engineering to surface customer needs and influence the product roadmap. It requires strong customer-facing experience in B2B SaaS and a technical understanding of the agent building process.

Experienced Commercial Counsel needed for a fast-growing conversational AI platform company. The role involves negotiating enterprise SaaS agreements, advising sales and product teams, and building scalable legal infrastructure. Requires strong experience in commercial contracts, legal frameworks (GDPR, CCPA, HIPAA), AI governance, and IP concerns. Experience with regulated customers and AI terms is a plus.

Product Designer for a conversational AI platform that empowers brands to deliver concierge customer experiences using AI agents across various channels. The role involves designing end-to-end experiences for building, managing, and improving AI agents, translating complex systems into intuitive interfaces, and collaborating with engineers and PMs. The designer will also define and evolve design systems for AI-native interactions and use AI tools in their workflow.

Senior Strategic Alliances & Partnerships Manager to build and own relationships with cloud providers, generative AI players, and technology partners. This role will focus on driving product, revenue, and ecosystem growth through strategic partnerships, including launching marketplace and co-sell programs, leading commercial negotiations, and influencing product roadmaps. The ideal candidate has experience building cloud, technology, and AI partnerships in a fast-paced, high-growth environment.

Decagon is seeking a Partnerships, Agent Delivery Lead to join their new Partnerships team. This role will focus on designing, building, and scaling revenue-focused partnership programs, particularly for implementation and delivery partners. The lead will blend go-to-market strategy, program design, and partner enablement to drive customer and commercial outcomes. Responsibilities include designing commercial deal structures, developing enablement initiatives, driving SI partnership conversations, growing SI-sourced revenue, and collaborating cross-functionally.

Decagon is seeking a Partnerships, System Integrators Lead to build and scale their partner program for implementation and delivery partners. This role involves designing go-to-market strategy, building programs, and driving execution through collaboration with customers, partners, and internal teams. The ideal candidate has experience in partnerships and business development at high-growth SaaS or AI companies, with a focus on system integrators.

This role is for a GTM Enablement Manager at an AI company that provides a conversational AI platform. The manager will build and scale enablement programs for the revenue engine, focusing on onboarding, training, and performance improvement for GTM teams. They will also own enablement infrastructure and insights, including leveraging AI systems, and partner cross-functionally. The role requires experience in GTM enablement and program management, with a preference for experience with AI in GTM contexts.

Enterprise Account Executive at a conversational AI platform company, responsible for managing the full sales cycle for enterprise accounts, generating pipeline, and collaborating with internal teams to ensure customer success. The role involves closing 7-figure deals and influencing go-to-market strategy.

Enterprise Account Executive at a conversational AI platform company, responsible for managing the full sales cycle for enterprise accounts, generating pipeline, and collaborating with internal teams to ensure customer success and revenue growth. Previous experience selling AI or Customer Support/Experience software is a plus.

Decagon is seeking a RVP of Strategic Sales to build and lead an enterprise sales team targeting Fortune 500 CTOs. The role focuses on driving revenue growth, building sales playbooks, and improving customer service through AI agents. Requires 4+ years of sales management experience, MEDDPICC training, and a proven track record of hitting sales targets.

Decagon is a conversational AI platform company that empowers brands to deliver concierge customer experiences using AI agents. They are seeking a Strategic Finance Manager to own planning, financial modeling, and capital allocation, partnering directly with co-founders and leadership to drive strategic initiatives and build a scalable finance function to support hyper-growth.

This role leads and evolves Decagon's IT operations as the company scales, focusing on building intelligent, automated systems to support a global workforce. The Senior Manager will define and execute a multi-year IT roadmap, transforming IT from tactical support to strategic enablement by leveraging AI-powered workflows, automation-first design, and modern ITSM practices. The role involves leading and mentoring a team, scaling IT operations globally, managing budgets, designing automated workflows, and collaborating with security and engineering teams to implement AI tools and ITSM platforms.