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Decagon is a conversational AI platform enabling enterprises to deploy AI agents for customer support and operations across voice, chat, email, SMS, and other channels. Customers include Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas. The company is backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
You will join the growth team—a 0-to-1, high-leverage function within the Founders' Office that bridges sales, marketing, business operations, and engineering. The team applies technical frameworks and data-driven rigor to accelerate revenue growth by identifying and fixing bottlenecks in the customer lifecycle. Current focus areas include business operations and strategy, growth marketing data pipelines, account identification and scoring, and internal sales tooling for the GTM team.
In this role, you will own projects end-to-end: from identifying pain points and prototyping solutions through production operation and retrospectives on effectiveness. You'll architect shared platforms and workflows powering the sales and delivery pipelines, helping establish growth engineering norms at a critical inflection point. Your work will be instrumental in scaling Decagon rapidly in a large, competitive market.
Key responsibilities:
- Collaborate with sellers, revenue operations, growth marketing, and engineering teams to brainstorm creative solutions for increasing pipeline and deal flow
- Debug business problems end-to-end: form hypotheses, analyze data, evaluate vendors, ship features, and establish operating cadences
- Set the roadmap for tools, products, or operational rhythms that accelerate revenue growth, prioritizing focus areas and triaging solutions
- Build end-to-end quantitative views of deal pipeline and movement, establishing evaluation frameworks that prove impact
Requirements:
- Technical foundation in computer science, math, statistics, data science, or similarly quantitative discipline
- Ability to combine strategy frameworks with hands-on engineering and strong metrics mindset—identify the problem, build the solution, prove it works
- Operating experience at an early-stage company (product, zero-to-one building, or general startup execution)
- High learning velocity; deep industry or tooling experience not required, but ability to pick things up fast is essential
Preferred qualifications:
- Consulting, technology diligence/investing, or strategy expertise paired with hands-on building experience
- Exposure to go-to-market systems (Salesforce, HubSpot, Clay, Unify)
- Experience building with LLMs in production or workflow automation tooling
- Predictive/propensity modeling or lead scoring experience
- Growth marketing instincts and opinions on creative demand generation
About Decagon
AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.
