Business Operations, Analytics Engineer
San Francisco · San Francisco, CA, United States
- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Founders Office › Business Operations — team source
Department: Founders Office › Business Operations
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require visa sponsorship to work in the country this role is located? Please reference the location(s) associated with this role.
From the employer’s application form
What you’ll work on
Full postingIn this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions.
Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data
Build 0-to-1 data infrastructure for strategic decision-making
Construct reliable datasets by parsing complex engineering and AI logs
Partner with engineering to instrument product events and usage data
Turn ambiguous business questions into measurable data problems
Continuously improve data infrastructure as data volumes scale
From the employer’s posting
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.
Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data
building 0 to 1 data infrastructure that enables the company to make informed strategic discussions
parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets
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
Tools in this posting
- Python
- SQL
- ClickHouse
- Looker
Source — Tool mentions in context
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:
- 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
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
In the employer’s words · Read in context · Company website ↗
Posting record
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- Live
- First seen by us
- Sep 15, 2026 · 44 days ago
- Recorded sightings
- 39
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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