Decagon
Business Operations & Data Analytics
Decagon, San Francisco, California, United States, 94199
Join to apply for the
Business Operations & Data Analytics
role at
Decagon Continue with Google Continue with Google Join to apply for the
Business Operations & Data Analytics
role at
Decagon This range is provided by Decagon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$175,000.00/yr - $220,000.00/yr About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values— customers are everything ,
relentless momentum ,
winner’s mindset , and
stronger together —shape how we work and grow as a team.
About The Role
As a founding member of our Data Analytics team, you’ll be responsible in building the foundation of our data infrastructure and analytics capabilities. Your work will directly influence how data is collected, organized, and leveraged across the company. From helping to shape our data stack to establishing metrics and data models to building user-level dashboards, you will help define the way we use data to drive insight and action.
You’ll partner closely with Execs, Product, GTM, and Finance to uncover meaningful trends on strategic initiatives, product analytics, and business performance to drive key strategic decisions. This is a unique opportunity to help establish modern, scalable analytics and data foundations from the ground up.
Establish a modern data stack from the ground up, including developing core data models and owning the tool stack Own business intelligence reporting across the company, including developing dashboards to help track ongoing KPIs and ad-hoc analyses to dive into high priority questions Collaborate with cross-functional teams (especially Product and Eng) to understand business priorities and initiatives in order to help design OKRs, data tracking, and analysis of performance, ultimately helping shape strategy and roadmap
You May Be a Good Fit If You Have
Ambitions to become a Head of Data one day Expert proficiency in SQL and Python 5+ years of experience in data or product analytics roles at a high-growth or scaled technology company Experience building and maintaining a modern data stack at a high-growth company, ideally owning it from the ground up Ability to drive in-depth analytics projects from end-to-end, including strategic decision-making and operational workstreams Are an excellent communicator who can partner with cross-functional teams and influence stakeholders at all levels of the organization
Compensation
$175k - $220k + equity Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Consulting, Information Technology, and Sales Industries Software Development Referrals increase your chances of interviewing at Decagon by 2x Sign in to set job alerts for “Business Operations Specialist” roles.
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#J-18808-Ljbffr
Business Operations & Data Analytics
role at
Decagon Continue with Google Continue with Google Join to apply for the
Business Operations & Data Analytics
role at
Decagon This range is provided by Decagon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$175,000.00/yr - $220,000.00/yr About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values— customers are everything ,
relentless momentum ,
winner’s mindset , and
stronger together —shape how we work and grow as a team.
About The Role
As a founding member of our Data Analytics team, you’ll be responsible in building the foundation of our data infrastructure and analytics capabilities. Your work will directly influence how data is collected, organized, and leveraged across the company. From helping to shape our data stack to establishing metrics and data models to building user-level dashboards, you will help define the way we use data to drive insight and action.
You’ll partner closely with Execs, Product, GTM, and Finance to uncover meaningful trends on strategic initiatives, product analytics, and business performance to drive key strategic decisions. This is a unique opportunity to help establish modern, scalable analytics and data foundations from the ground up.
Establish a modern data stack from the ground up, including developing core data models and owning the tool stack Own business intelligence reporting across the company, including developing dashboards to help track ongoing KPIs and ad-hoc analyses to dive into high priority questions Collaborate with cross-functional teams (especially Product and Eng) to understand business priorities and initiatives in order to help design OKRs, data tracking, and analysis of performance, ultimately helping shape strategy and roadmap
You May Be a Good Fit If You Have
Ambitions to become a Head of Data one day Expert proficiency in SQL and Python 5+ years of experience in data or product analytics roles at a high-growth or scaled technology company Experience building and maintaining a modern data stack at a high-growth company, ideally owning it from the ground up Ability to drive in-depth analytics projects from end-to-end, including strategic decision-making and operational workstreams Are an excellent communicator who can partner with cross-functional teams and influence stakeholders at all levels of the organization
Compensation
$175k - $220k + equity Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Consulting, Information Technology, and Sales Industries Software Development Referrals increase your chances of interviewing at Decagon by 2x Sign in to set job alerts for “Business Operations Specialist” roles.
Continue with Google Continue with Google Continue with Google Continue with Google San Francisco, CA $150,000 - $170,000 2 days ago Business Operations Manager, Handshake AI
Sr. Business Operations and Strategy Manager
Associate, Business Operations and Strategy
San Francisco, CA $130,000.00 - $180,000.00 2 weeks ago Redwood City, CA $130,000.00 - $200,000.00 1 week ago Burlingame, CA $174,000.00 - $242,000.00 5 hours ago Foster City, CA $80,000.00 - $120,000.00 5 months ago San Francisco, CA $180,000.00 - $240,000.00 6 days ago Senior Staff Business Operations Manager
San Francisco, CA $90,000.00 - $110,000.00 2 months ago San Francisco, CA $180,000.00 - $240,000.00 1 month ago Oakland, CA $60,000 - $100,000 2 weeks ago San Francisco, CA $120,000 - $140,000 1 month ago San Francisco, CA $130,000 - $225,000 2 months ago San Francisco, CA $150,000 - $213,000 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr