Careers at Decagon

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Agent Product Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions. Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues. About the Role On the Agent Product Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users. In this role, you will 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 Your background looks something like this Have 8+ years of industry experience in software engineering Proficiency with Python, Typescript and asynchronous programming A high degree of comfort digging into system failures within deep technology stacks using any tool necessary Even better Prior experience working with multi-modal models Compensation $200K – $400K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email, and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale. This role sits at the intersection of Security and Infrastructure. Like the rest of our Infrastructure org, we believe the best security comes from paved paths, strong SLAs, and high-quality systems that other engineers can rely on by default. Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role We're hiring our founding Platform Engineer, Security to design, build, and operate the security infrastructure that powers Decagon's AI platform. This is a builder's role: you'll spend your time creating durable, well-engineered systems including paved paths for secure service creation, security tooling that automatically applies secure configurations, and infrastructure-as-code that makes it easy for every engineer at Decagon to do the right thing. As the first dedicated engineer at this intersection, you'll have outsized impact on how security infrastructure is built here, and you'll shape the technical direction of the infrastructure security program. You'll also help us invest in automation, observability, and self-service so the team operates with confidence. The work is close to the business. Decagon serves some of the world's most security-conscious enterprises, including major financial-services institutions, and the security platform you build directly unlocks these high-value deals. This role offers a clear runway to grow your impact across security, infrastructure, and platform engineering. In this role, you will Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving across our platform Build "golden paths" for security including service templates, libraries, terraform policies, and automation, so new services are secure and production-ready by default Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code Expand and help operate the platforms behind alerting detection, secrets management, IAM, and automated remediation, integrating them cleanly into CI/CD and developer workflows Partner with Security, Infrastructure, and product engineering teams to translate enterprise and compliance requirements (SOC 2, ISO 27001, GDPR) into reliable, automated technical controls Participate in security on-call and continuously raise the bar on operability, runbooks, and incident learnings Your background looks something like this 5+ years building and operating production infrastructure, with meaningful exposure to security or a strong interest in moving deeper into security problems Deep knowledge of Google Cloud Platform and/or AWS, including compute, networking, IAM, and security services Proficiency with infrastructure-as-code (Terraform, Ansible, or similar) and a track record of building developer-facing tooling and automation Strong coding ability in at least one systems language (eg. Python, Go, TypeScript) and comfort building paved-path tooling teams actually adopt Experience applying AI-assisted tooling (Cursor, Claude Code, and similar) to make engineers dramatically more effective Experience with secure container deployment, service mesh, and Kubernetes security best practices Observability and incident-response tooling experience (instrumentation, alerting, dashboards), with a bias toward eliminating toil Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs Even better if you have A track record of being an early or founding platform/infrastructure/security engineer at another company Experience building internal platforms: service templates, paved-road deployment, self-serve environments, or developer portals A security-minded approach to the software supply chain (provenance, secrets, least privilege) and familiarity with static analysis tooling (Semgrep, CodeQL) Experience with detection and response data pipelines (Kafka/Pulsar, Splunk/Panther/RunReveal, or similar) Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an infrastructure and platform perspective Compensation $170K – $305K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email, and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale. This role sits at the intersection of Security and Infrastructure. Like the rest of our Infrastructure org, we believe the best security comes from paved paths, strong SLAs, and high-quality systems that other engineers can rely on by default. Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role We're hiring our founding Platform Engineer, Security to design, build, and operate the security infrastructure that powers Decagon's AI platform. This is a builder's role: you'll spend your time creating durable, well-engineered systems including paved paths for secure service creation, security tooling that automatically applies secure configurations, and infrastructure-as-code that makes it easy for every engineer at Decagon to do the right thing. As the first dedicated engineer at this intersection, you'll have outsized impact on how security infrastructure is built here, and you'll shape the technical direction of the infrastructure security program. You'll also help us invest in automation, observability, and self-service so the team operates with confidence. The work is close to the business. Decagon serves some of the world's most security-conscious enterprises, including major financial-services institutions, and the security platform you build directly unlocks these high-value deals. This role offers a clear runway to grow your impact across security, infrastructure, and platform engineering. In this role, you will Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving across our platform Build "golden paths" for security including service templates, libraries, terraform policies, and automation, so new services are secure and production-ready by default Own infrastructure-as-code (Terraform) and GitOps best practices, including reusable modules and policy-as-code Expand and help operate the platforms behind alerting detection, secrets management, IAM, and automated remediation, integrating them cleanly into CI/CD and developer workflows Partner with Security, Infrastructure, and product engineering teams to translate enterprise and compliance requirements (SOC 2, ISO 27001, GDPR) into reliable, automated technical controls Participate in security on-call and continuously raise the bar on operability, runbooks, and incident learnings Your background looks something like this 5+ years building and operating production infrastructure, with meaningful exposure to security or a strong interest in moving deeper into security problems Deep knowledge of Google Cloud Platform and/or AWS, including compute, networking, IAM, and security services Proficiency with infrastructure-as-code (Terraform, Ansible, or similar) and a track record of building developer-facing tooling and automation Strong coding ability in at least one systems language (eg. Python, Go, TypeScript) and comfort building paved-path tooling teams actually adopt Experience applying AI-assisted tooling (Cursor, Claude Code, and similar) to make engineers dramatically more effective Experience with secure container deployment, service mesh, and Kubernetes security best practices Observability and incident-response tooling experience (instrumentation, alerting, dashboards), with a bias toward eliminating toil Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs Even better if you have A track record of being an early or founding platform/infrastructure/security engineer at another company Experience building internal platforms: service templates, paved-road deployment, self-serve environments, or developer portals A security-minded approach to the software supply chain (provenance, secrets, least privilege) and familiarity with static analysis tooling (Semgrep, CodeQL) Experience with detection and response data pipelines (Kafka/Pulsar, Splunk/Panther/RunReveal, or similar) Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an infrastructure and platform perspective Compensation $170K – $305K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale. Our mission is to provide magical support experiences — ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role Lead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunity to apply deep application security expertise to AI systems and shape security practices across our rapidly growing engineering organization. In this role, you will Design and implement application security controls across our AI agent platform, including secure coding practices, threat modeling, and vulnerability management. Collaborate closely with product engineering teams to integrate security throughout the software development lifecycle, from design, coding, PR, and deployment Establish application security testing programs including static analysis (SAST), dynamic analysis (DAST), and interactive testing (IAST) tailored for AI applications Lead security code reviews and architecture assessments for new features, with special focus on AI model integration points and customer data handling Build security tooling and automation to enable developers to identify and remediate vulnerabilities quickly while maintaining development velocity Respond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvements Your background looks something like this Have 5+ years of hands-on application security engineering experience Expertise in secure software development practices, including threat modeling, secure code review, and vulnerability assessment Strong software engineering background with ability to review code across multiple languages and frameworks commonly used in AI/ML applications Experience implementing application security testing tools and integrating security into CI/CD pipelines Knowledge of OWASP Top 10, common application vulnerabilities, and modern application security frameworks Proven track record working with engineering teams to remediate security findings while balancing security and business requirements Even better Experience securing AI/ML applications, including prompt injection, model extraction, and adversarial input protections Background with large-scale, multi-tenant SaaS applications handling sensitive customer data Familiarity with Google Cloud application security services and container security best practices Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an application security perspective Experience with modern security tools like Semgrep, CodeQL, Cursor Bug Bot, XBOW, or similar Compensation $170K – $305K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale. Our mission is to provide magical support experiences — ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role Lead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunity to apply deep application security expertise to AI systems and shape security practices across our rapidly growing engineering organization. In this role, you will Design and implement application security controls across our AI agent platform, including secure coding practices, threat modeling, and vulnerability management. Collaborate closely with product engineering teams to integrate security throughout the software development lifecycle, from design, coding, PR, and deployment Establish application security testing programs including static analysis (SAST), dynamic analysis (DAST), and interactive testing (IAST) tailored for AI applications Lead security code reviews and architecture assessments for new features, with special focus on AI model integration points and customer data handling Build security tooling and automation to enable developers to identify and remediate vulnerabilities quickly while maintaining development velocity Respond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvements Your background looks something like this Have 5+ years of hands-on application security engineering experience Expertise in secure software development practices, including threat modeling, secure code review, and vulnerability assessment Strong software engineering background with ability to review code across multiple languages and frameworks commonly used in AI/ML applications Experience implementing application security testing tools and integrating security into CI/CD pipelines Knowledge of OWASP Top 10, common application vulnerabilities, and modern application security frameworks Proven track record working with engineering teams to remediate security findings while balancing security and business requirements Even better Experience securing AI/ML applications, including prompt injection, model extraction, and adversarial input protections Background with large-scale, multi-tenant SaaS applications handling sensitive customer data Familiarity with Google Cloud application security services and container security best practices Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an application security perspective Experience with modern security tools like Semgrep, CodeQL, Cursor Bug Bot, XBOW, or similar Compensation $170K – $305K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Founder’s Office is a unique and high visibility team whose work spans the entire business, so our Data and Analytics arm presents an opportunity for high ownership, visibility, and impact across the entire company. The team is highly collaborative and works directly with leadership to optimize operations and strategy across company growth strategy, partnerships, pricing, and cost optimizations. About the Role In this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions. Specifically, this means working in Python and SQL across multiple databases and parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets that will enable intuitive and confident decision making. In this role, you will: Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data Translate ambiguous business scenarios into measurable data problems spanning Growth, GTM, Pricing, Deals Desk, Strategic Finance, and Product Continuously improve data infrastructure as the company and data volumes scale Your background looks something like this 3+ years of data experience in an early stage or high growth environments, particularly if you worked on a lean data team Expert in SQL and BI (Hex, Looker or similar), and have experience building tables and databases from scratch You are an owner and end to end technologist and “do what it takes” mentality. Your work doesn’t begin or end with data pipelines. You can flex into engineering as well as business, from reading our codebase to turning the outputs into key findings for our leaders Even better if you have Experience with Clickhouse and CDC Built custom data connectors and webhooks Optimized database and query performance Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role We’re looking for a manager to lead and grow a team within Decagon Research. You’ll own the team and technical roadmap for an area spanning model post-training, evaluation, safety, speech, or agent behavior, driving ambitious ideas from research to reliable production impact. Managers here operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. You’ll create clarity in ambiguous research areas, develop exceptional engineers, and align the team’s work with the product outcomes that matter most to customers. In this role, you will Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development Own the technical direction and roadmap for your area, prioritizing the highest-leverage investments across models, evaluation, safety, speech, and agent systems Turn open-ended research directions into focused programs with clear hypotheses, milestones, decisions, and measures of production impact Stay close to the technical work through architecture and experiment reviews, debugging, and individual contribution Set a high bar for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts Partner across Infrastructure, Agent Platform, Product Engineering, Product, and customer-facing teams to move research into production Your background looks something like this 5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure 1+ years of people management experience, with a strong individual-contributor background Deep experience post-training, evaluating, deploying, or serving foundation models at scale Strong technical judgment and a track record of translating ambiguous research ideas into measurable product outcomes Experience hiring, coaching, and developing technical talent, with clear communication across research, engineering, product, and executive stakeholders Even better if you have A record of influential research, open-source contributions, or production ML systems with significant real-world impact Compensation $280K – $430K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role We’re looking for a manager to lead and grow a team within Decagon Research. You’ll own the team and technical roadmap for an area spanning model post-training, evaluation, safety, speech, or agent behavior, driving ambitious ideas from research to reliable production impact. Managers here operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. You’ll create clarity in ambiguous research areas, develop exceptional engineers, and align the team’s work with the product outcomes that matter most to customers. In this role, you will Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development Own the technical direction and roadmap for your area, prioritizing the highest-leverage investments across models, evaluation, safety, speech, and agent systems Turn open-ended research directions into focused programs with clear hypotheses, milestones, decisions, and measures of production impact Stay close to the technical work through architecture and experiment reviews, debugging, and individual contribution Set a high bar for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts Partner across Infrastructure, Agent Platform, Product Engineering, Product, and customer-facing teams to move research into production Your background looks something like this 5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure 1+ years of people management experience, with a strong individual-contributor background Deep experience post-training, evaluating, deploying, or serving foundation models at scale Strong technical judgment and a track record of translating ambiguous research ideas into measurable product outcomes Experience hiring, coaching, and developing technical talent, with clear communication across research, engineering, product, and executive stakeholders Even better if you have A record of influential research, open-source contributions, or production ML systems with significant real-world impact Compensation $280K – $430K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits We proudly offer the following benefits for our full-time employees: Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Monthly stipend to support your wellness, lifestyle, and work-life balance Daily lunches and snacks in the office to keep you at your best Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.