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Decagon

Decagon

decagon.ai

12 Jobs

139 Employees

About the Company

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.

We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. Decagon is backed by Accel, Andreessen Horowitz, Bain Capital Ventures, BOND, A*, Elad Gil, and the founders of Box, Airtable, Rippling, Okta, and more.

Listed Jobs

Company background Company brand
Company Name
Decagon
Job Title
Product Marketing Manager
Job Description
Job Title: Product Marketing Manager Role Summary: Drives positioning, messaging, and go‑to‑market strategy for AI‑powered B2B SaaS products, collaborating with Product, Engineering, Sales, and Marketing to launch new features and sustain brand leadership. Expectations: • 4–6 years in product marketing at a high‑growth B2B SaaS or AI company. • Proven track record of leading product launches, developing positioning, and creating sales enablement assets. • Strong written and verbal communication skills, simplifying complex technical concepts. • Collaborative, influencing product, engineering, and sales teams to meet launch milestones. • Data‑driven, using metrics to refine tactics. • Deep customer insight, market trend awareness, and competitive differentiation. Key Responsibilities: • Own product positioning framework and messaging hierarchy for core AI and enterprise offerings. • Craft sales collateral, deck templates, website copy, blog content, and gated assets. • Translate product roadmaps into launch plans and go‑to‑market strategies. • Coordinate cross‑functional launch execution, ensuring alignment on release dates, enablement, and marketing campaigns. • Track launch performance, analyze results, and iterate messaging and channel tactics. • Build scalable processes for consistent messaging and enablement across the organization. Required Skills: • Product marketing expertise in B2B SaaS/AI industry. • Exceptional storytelling, copywriting, and presentation abilities. • Strong project management, meeting tight deadlines. • Comfortable with data analysis tools (SQL, analytics dashboards). • Excellent stakeholder management and negotiation skills. • Proficiency in marketing automation and CRM platforms is a plus. Required Education & Certifications: • Bachelor’s degree in Marketing, Business, Communications, or related field (or equivalent experience). • PMP, Certified Marketing Professional, or similar certifications are a plus.
San francisco, United states
On site
Junior
30-10-2025
Company background Company brand
Company Name
Decagon
Job Title
Staff Security Engineer
Job Description
**Job Title:** Staff Security Engineer **Role Summary:** Lead the design, implementation, and governance of a comprehensive security framework for an enterprise‑scale conversational AI platform, ensuring protection against AI‑enabled threats while maintaining compliance with industry standards. **Expectations:** - Architect end‑to‑end security for customer‑facing products, infrastructure, and integration points. - Embed security into AI/ML pipelines (model training, fine‑tuning, deployment). - Define and enforce security standards for enterprise customers (tenant isolation, data protection, compliance). - Manage security incidents, ensuring rapid resolution with minimal service impact. - Mentor and scale the security engineering team. **Key Responsibilities:** - Design and roll out secure multi‑tenant architecture handling millions of concurrent conversations. - Implement Google Cloud security (VPC, IAM, deployment patterns) and enterprise‑grade controls. - Build and maintain SIEM, vulnerability management, IAM, and compliance platforms. - Lead SOC 2, ISO 27001, GDPR, and other enterprise security compliance efforts. - Collaborate with AI/ML teams to mitigate model poisoning, adversarial attacks, and secure fine‑tuning. - Conduct security reviews, code audits, and threat modeling. - Mentor security engineers and promote scalable practices across teams. **Required Skills:** - 7+ years in security engineering. - Proven experience designing secure, multi‑tenant systems at large scale. - Deep knowledge of Google Cloud security (VPC, IAM, deployment). - Expertise in SIEM, vulnerability management, IAM, and compliance platforms. - Familiarity with SOC 2, ISO 27001, GDPR. - Strong understanding of security for conversational AI (model poisoning, adversarial attacks). - Excellent communication, mentorship, and strategic vision skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience). - Certifications such as CISSP, GCIA, CISM, or comparable security credentials are preferred.
San francisco, United states
On site
Senior
02-11-2025
Company background Company brand
Company Name
Decagon
Job Title
Senior Security Engineer, Infrastructure
Job Description
**Job Title** Senior Security Engineer, Infrastructure **Role Summary** Design, build, and maintain secure, scalable, and highly available multi‑tenant infrastructure on Google Cloud Platform (GCP) to support a conversational AI platform. Ensure enterprise‑grade reliability, compliance, and performance while enabling rapid growth and secure AI model deployment. **Expectations** - Minimum 5 years of experience designing production‑level infrastructure with a strong security focus, preferably for SaaS or enterprise software. - Proven expertise in GCP architecture (Compute, Networking, Security, Managed Services). - Advanced skills in Infrastructure as Code (IaC) and automated configuration management. - Track record of meeting high availability (99.99 % uptime) and sub‑100 ms latency requirements for large‑scale, mission‑critical services. - Experience implementing and maintaining SOC 2, ISO 27001, and related compliance frameworks. **Key Responsibilities** - Architect and deploy secure, isolated multi‑tenant environments for AI agents, ensuring data segregation and strict access controls. - Develop and maintain IaC pipelines (Terraform, Ansible, or equivalent) for consistent, repeatable deployment across Dev, Test, and Prod. - Design and implement container security, Kubernetes hardening, and service mesh (e.g., Istio) to protect workload communication. - Build and monitor performance dashboards to guarantee sub‑100 ms response times under millions of concurrent conversations. - Lead the creation of backup, disaster recovery, and incident response procedures for security infrastructure. - Collaborate with DevOps, Security, and Product teams to embed security best practices into the CI/CD lifecycle. - Stay current on emerging threats and recommend proactive mitigations for AI‑enabled attack vectors. **Required Skills** - GCP architecture: Compute Engine, Kubernetes Engine, VPC, IAM, Cloud Armor, Cloud KMS, Cloud Storage, Pub/Sub. - IaC: Terraform or equivalent; Ansible or similar for configuration management. - Container & cluster security: Kubernetes security best practices, RBAC, pod security policies, network policies. - Service mesh: design, deployment, and monitoring (e.g., Istio, Linkerd). - High‑availability and latency optimization: load balancing, auto‑scaling, caching, CDN integration. - Compliance: SOC 2, ISO 27001, privacy regulations (GDPR, CCPA). - Backup/DR: snapshotting, replication, playbooks for failover. - Strong scripting (Python, Bash) and logging/monitoring tools (ELK, Prometheus, Grafana). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Information Security, or related field (or equivalent practical experience). - Relevant certifications preferred: GCP Professional Cloud Architect or Cloud Security Engineer, Certified Kubernetes Administrator (CKA), or equivalent security credentials.
San francisco, United states
On site
Senior
02-11-2025
Company background Company brand
Company Name
Decagon
Job Title
Senior Software Engineer, Platform
Job Description
**Job Title:** Senior Software Engineer, Platform **Role Summary:** Design, build, and maintain a high‑performance, asynchronous orchestration layer for a conversational AI platform serving enterprise customers. Own end‑to‑end delivery of scalable, low‑latency infrastructure that processes hundreds of millions of multimodal (text and audio) interactions annually. **Expectations:** - 4+ years of professional software engineering experience. - Demonstrated ability to solve complex system problems and deliver production‑grade solutions at scale. - Proactive ownership of code quality, reliability, and automation. - Strong collaboration within a fast‑paced, in‑office engineering team. **Key Responsibilities:** - Architect and implement the AI agent platform supporting complex, cross‑domain task execution. - Develop and evaluate state‑of‑the‑art text and audio models for integration into production workflows. - Design highly asynchronous, multimodal systems handling both audio and text data streams. - Build monitoring and automation tools to detect and remediate intermittent issues across massive interaction volumes. - Participate in code reviews, design discussions, and continuous improvement of engineering practices. **Required Skills:** - Proficiency in TypeScript and Python. - Deep experience with asynchronous programming patterns and event‑driven architectures. - Strong debugging skills across distributed systems and ability to use diverse diagnostic tools. - Familiarity with cloud infrastructure, containerization, and CI/CD pipelines. - Excellent problem‑solving mindset and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). - Relevant industry certifications (e.g., AWS, GCP, Azure) are a plus but not mandatory.
San francisco, United states
On site
Senior
07-11-2025