2 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Build 0-to-1 data infrastructure across multiple databases using Python and SQL.
- Parse Engineering and AI logs to construct trustworthy and reliable datasets for strategic decision-making.
- Partner with Engineering to instrument new product surfaces and ensure clean, reliable event and usage data.
- Translate ambiguous business scenarios across Growth, GTM, Pricing, Deals Desk, Strategic Finance, and Product into measurable data problems.
- Continuously improve data infrastructure as the company and data volumes scale.
- Turn data outputs into key findings for company leaders and flex between technical engineering and business needs.
Requirements
- Have 3+ years of data experience in an early-stage or high-growth environment, particularly on a lean data team.
- Be expert in SQL and BI tools such as Hex, Looker, or similar.
- Have experience building tables and databases from scratch.
- Demonstrate end-to-end technical ownership and the ability to read a codebase and work across engineering and business contexts.
Benefits
- Medical, dental, and vision benefits for employees and families.
- Life insurance and disability benefits.
- Retirement plan, such as a 401(k) or pension.
- Parental leave.
- Fertility and family-building benefits through Carrot.
- Monthly wellness and lifestyle stipend.
- Daily lunches and snacks in the office.
- Take-what-you-need vacation policy; UK employees receive 25 days of statutory leave.
- Full-time, in-office work arrangement.
About Decagon
Decagon builds an enterprise conversational AI platform that deploys customer-support agents across voice, chat, email, SMS, and other channels. It sells to large brands via enterprise subscriptions and services, helping automate and personalize support workflows. Founded in 2023 and headquartered in San Francisco, Decagon’s customers include Avis Budget Group, Chime, Oura Health, and 1-800-Flowers.