Decagon
Business Operations, Analytics Engineer
- Location
- San Francisco, CA, US
- Employment type
- Full-time
- Posted
- 14 September 2026 (16 days ago)
Checked 15 days agoApplications go to the employer, never to RoleSprint
About this role
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.
Work location
- San Francisco, CA, US
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About this listing
Advertised by Decagon and published on Ashby, the applicant tracking system they use.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 14 September 2026, last checked 15 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.