Decagon jobs

Senior Software Engineer, Platform Engineering role at Decagon (conversational AI platform), focused on building and evolving the internal developer platform including CI/CD, release automation, observability, and developer workflows. Compensation USD 200–400k/year. Role emphasizes improving developer productivity, reducing build/test/release toil, and owning platform systems end-to-end. Located in San Francisco, in-office required.

Staff Software Engineer, Agents at Decagon, a conversational AI platform company. Role focuses on building and deploying mission-critical AI agents for customers, with ownership of agent design, implementation, and iteration. Requires 8+ years of software engineering experience, proficiency in Python/TypeScript, and deep system debugging skills. San Francisco-based, in-office. Compensation $200K–$400K plus equity.

Platform Engineer, Security (Application Security focus) role at Decagon, a conversational AI platform serving enterprise customers at scale. Responsibilities include designing application security controls, integrating security into AI-powered applications, establishing SAST/DAST/IAST testing programs, leading security code reviews, building security tooling and automation, and responding to security incidents. Emphasis on protecting AI model integration points and customer data handling. Located on-site in San Francisco; compensation $200k–$330k.

Senior Platform Engineer, Security role at Decagon, a conversational AI platform for enterprise customer experiences. The founding security engineer position focuses on designing secure infrastructure, paved paths for service creation, security tooling, and infrastructure-as-code to enable secure defaults across the organization. Role bridges security and infrastructure, with emphasis on automation, observability, and self-service operations supporting high-value enterprise deals. Located in San Francisco as an in-office role; compensation $200k–$330k.

Senior Data Infrastructure Engineer at Decagon, designing and operating high-throughput data pipelines and real-time streaming systems for AI product infrastructure. Responsibilities include building Kafka/Flink/Airflow data ingestion, optimizing analytical layers (ClickHouse/BigQuery), partnering with product teams, and tuning query latencies. Based in San Francisco office (on-site).

Decagon, a conversational AI platform backed by a16z and Accel, is hiring a Deal Lead to build out their first dedicated pricing function. You'll own enterprise deal structuring, proposal development, and commercial negotiations alongside the sales team while partnering with Finance and Strategy to develop pricing strategy and scale internal deal desk processes. The role requires 6-10+ years in pricing, deal desk, or monetization at high-growth companies, with demonstrated ability to work cross-functionally with sales, finance, and legal teams in fast-moving environments. This is notably the company's first pricing hire—you'll be shaping the function from the ground up rather than inheriting established processes. Experience building or scaling a pricing function, implementing CPQ platforms, or working with consumption-based pricing models is valued. The company is in-office based (location not specified) and backed by top-tier VCs, though no equity details are mentioned in the posting.

Decagon is hiring an Agent Success Manager for its Atlanta office to support enterprise customers deploying conversational AI agents across multiple channels. The role blends customer relationship management with technical execution, involving deployment guidance, adoption support, cross-functional collaboration with Product and Engineering, and strategic advisory work with C-level stakeholders. You'll need 4+ years of B2B SaaS customer-facing experience in a technical role, proven success managing large customers through complex multi-stakeholder projects, excellent communication skills, and strong business acumen—coding ability is not required but familiarity with agentic AI deployments and customer support processes is a plus. Decagon is a well-funded conversational AI platform (backed by a16z, Accel, Bain Capital Ventures) working with major brands like Avis, Cash App, and Chime, and operates as an in-office company in Atlanta. The role offers $160K–$200K base plus equity, with strong benefits including unlimited vacation, full health coverage, and daily office lunches. This is an early-stage opportunity to shape how the Agent Success function operates as the company scales.

Decagon, a conversational AI platform serving major enterprises like Avis, Block, and Chime, is hiring for a founding member of its Implementations Team to build and scale the function that delivers AI agents to customers. You'll own implementation strategy and execution across complex enterprise deployments, design repeatable playbooks and processes, and drive measurable business outcomes while partnering cross-functionally with Sales, Product, and Engineering. Required experience includes 4+ years in implementations, consulting, onboarding, or project management roles; demonstrated ability leading complex software or AI implementations; technical fluency with SaaS platforms, integrations, and APIs; and strong operational skills with clear communication abilities. Preferred experience includes familiarity with AI/automation/customer service platforms, enterprise systems like Zendesk or Salesforce, and hands-on use of AI tools to drive efficiency. The company is well-funded (a16z, Accel, Bain Capital among backers), operates in-office with a focus on velocity and excellence, and offers standard benefits including unlimited vacation, medical/dental/vision, and parental leave. This is a ground-floor opportunity to build a new function from scratch at a well-capitalized AI platform, with the deal-breaker caveat that it's explicitly in-office.