\u003C/p>\u003C/li>\u003C/ul>\u003Ch1>\u003Cstrong>Even better if you:\u003C/strong>\u003C/h1>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Have been a startup founder or an early-stage engineer\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have experience building AI products\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Have experience with React, TypeScript and Python\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Ch1>\u003Cstrong>Benefits:\u003C/strong>\u003C/h1>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Medical, dental, and vision benefits\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Take what you need vacation policy\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Daily lunches, dinners and snacks in the office to keep you at your best\u003C/p>\u003C/li>\u003C/ul>","https://jobs.ashbyhq.com/decagon/599cb90b-1d17-4509-a716-aa4f6952b43f",{"id":119,"name":120,"urlSafeSlug":120,"logo":121},[514],{"city":515,"region":515,"country":26},"New York","2025-05-28T08:02:04.624Z","Candidates should possess at least 2 years of experience developing and deploying production-level products and systems, and demonstrate a passion for the end-user experience. Strong coding skills are essential, particularly in React, TypeScript, and Python, and a willingness to learn is highly valued.","As an Agent Software Engineer, you will work directly with enterprise customers to design, deploy, and optimize AI agents, taking ownership of problems from start to finish. You will be at the forefront of LLMs and AI Agents, tackling unique challenges associated with scaling and deploying AI applications, and contributing to the development of AI products.",{"employment":520,"compensation":522,"experience":526,"visaSponsorship":531,"location":532,"skills":533,"industries":536},{"type":521},{"id":160,"name":161,"description":7},{"minAnnualSalary":523,"maxAnnualSalary":524,"currency":165,"details":525},200000,250000,"Salary range for Agent Software Engineer position",{"experienceLevels":527},[528],{"id":529,"name":530,"description":7},"6d29fb0e-c389-4488-940b-7ca93a9f10bb","Junior (1 to 2 years)",{"type":10},{"type":156},[484,485,483,437,339,487,534,535,333],"Scaling","Customer Interaction",[537,539],{"id":291,"name":538},"Artificial Intelligence",{"id":115,"name":114},{"id":541,"title":542,"alternativeTitles":543,"slug":559,"jobPostId":541,"description":560,"isReformated":18,"applyUrl":561,"company":120,"companyOption":562,"locations":563,"listingDate":565,"listingSite":153,"isRemote":52,"requirements":566,"responsibilities":567,"status":156,"expiryDate":7,"isGoogleIndexed":52,"summary":568},"bc9cd46a-7562-4c2e-ab6c-d37b920203d7","Business Operations & Data Analytics",[544,545,546,547,548,549,550,551,552,553,554,555,556,557,558],"Data Analytics Manager","Business Intelligence Analyst","Product Data Analyst","Senior Data Analyst","Data Operations Analyst","Analytics Lead","Business Operations Analyst","Data Strategy Analyst","Growth Data Analyst","SQL Data Analyst","Python Data Analyst","Data Stack Engineer","Business Performance Analyst","Strategic Data Analyst","Data Insights Manager","business-operations-data-analytics-bc9cd46a-7562-4c2e-ab6c-d37b920203d7","# Job Description: Data Analytics\n\n**Employment Type:** Full-Time\n**Salary:** $175K - $220K + Equity\n**Location Type:** [Not Specified]\n\n---\n\n## About Decagon\n\nDecagon is building the most advanced conversational AI agents for the enterprise. We have gained significant traction with customers such as Duolingo, Notion, Rippling, Eventbrite, Webflow, and BILT. Our AI agents deliver a human-like customer support experience, enabling enterprises to enhance their customer service and efficiently manage their customer experience organizations.\n\nDecagon has secured $100M in total funding from prominent investors including Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angel investors who are founders of companies like Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.\n\n---\n\n## About the Role\n\nAs a founding member of our Data Analytics team, you will be instrumental in building the foundation of our data infrastructure and analytics capabilities. Your contributions will directly shape how data is collected, organized, and utilized across the company. This includes defining our data stack, establishing key metrics and data models, and developing user-level dashboards, ultimately guiding how we leverage data for insights and action.\n\nYou will collaborate closely with Executive leadership, Product, Go-To-Market (GTM), and Finance teams to identify significant trends in strategic initiatives, product analytics, and business performance, thereby informing critical strategic decisions. This is a unique opportunity to establish modern, scalable analytics and data foundations from inception.\n\n### Key Responsibilities:\n\n* Establish a modern data stack from the ground up, including developing core data models and owning the tool stack.\n* Own business intelligence reporting across the company, developing dashboards to track ongoing KPIs and conducting ad-hoc analyses to address high-priority questions.\n* Collaborate with cross-functional teams, particularly Product and Engineering, to understand business priorities and initiatives. This includes assisting in the design of OKRs, data tracking, and performance analysis to help shape strategy and roadmap.\n\n---\n\n## Qualifications\n\nYou may be a good fit if you possess:\n\n* Ambitions to become a Head of Data in the future.\n* Expert proficiency in SQL and Python.\n* 5+ years of experience in data or product analytics roles at a high-growth or scaled technology company.\n* Experience building and maintaining a modern data stack at a high-growth company, ideally owning it from the ground up.\n* The ability to drive in-depth analytics projects end-to-end, encompassing strategic decision-making and operational workstreams.\n* Excellent communication skills, with the ability to partner effectively with cross-functional teams and influence stakeholders at all organizational levels.\n\n---\n\n## Compensation\n\n* **Salary:** $175,000 - $220,000\n* **Equity:** [Details not specified, but included in compensation]","https://jobs.ashbyhq.com/decagon/6ca02626-abe5-456e-8267-62d1223aff3c",{"id":119,"name":120,"urlSafeSlug":120,"logo":121},[564],{"city":24,"region":25,"country":26},"2025-06-20T08:02:01.125Z","Candidates should possess 5+ years of experience in data or product analytics roles at a high-growth or scaled technology company, demonstrating expert proficiency in SQL and Python. Strong experience in building and maintaining a modern data stack, ideally owning it from the ground up, is also required.","As a Business Operations & Data Analytics role at Decagon, you will establish a modern data stack from the ground up, including developing core data models and owning the tool stack. You will own business intelligence reporting across the company, including developing dashboards to track ongoing KPIs and conducting ad-hoc analyses to address high-priority questions. Furthermore, you will collaborate with cross-functional teams, particularly Product and Engineering, to understand business priorities and initiatives, ultimately helping to shape strategy and roadmap, and partner closely with Executives, Product, GTM, and Finance to uncover meaningful trends on strategic initiatives, product analytics, and business performance to drive key strategic decisions.",{"employment":569,"compensation":571,"experience":573,"visaSponsorship":579,"location":580,"skills":581,"industries":596},{"type":570},{"id":160,"name":161,"description":7},{"minAnnualSalary":274,"maxAnnualSalary":572,"currency":165,"details":7},220000,{"experienceLevels":574},[575,576],{"id":169,"name":170,"description":7},{"id":577,"name":578,"description":7},"de6fc08d-b7f4-4514-8560-7f69a3611e1e","Expert & Leadership (9+ years)",{"type":10},{"type":39},[582,583,584,585,586,587,588,589,590,591,592,593,594,595],"Data Analytics","Data Infrastructure","Data Collection","Data Organization","Data Modeling","Business Intelligence","Dashboards","KPI Tracking","Ad-hoc Analysis","Product Analytics","Business Performance Analysis","Strategic Initiatives","OKRs","Data Tracking",[597,598,600],{"id":291,"name":538},{"id":291,"name":599},"SaaS",{"id":115,"name":114},["Reactive",602],{"$ssite-config":603},{"env":604,"name":605,"url":606},"production","nuxt-app","https://jobo.world/",["Set"],["ShallowReactive",609],{"company-Decagon":-1,"company-jobs-addd7a2e-1adc-4500-9f26-e75e563a713d-carousel":-1},"/company/Decagon",{}]