Technical Success Analyst

November 8

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People.ai

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SaaS • CRM • Enterprise • Sales • Marketing

201 - 500

Description

• People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success and growth by providing teams with solutions built specifically for their needs. • Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. • People.ai’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. • Companies such as Verizon, IBM Red Hat, Snowflake, Zoom, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. • At People.ai, we believe that people enrich the world around them in countless ways. • We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. • Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. • We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. • As a Technical Success Analyst at People.ai, you’ll be the first line of technical support for our customers, ensuring they have a smooth experience with our AI-powered data platform. • You will leverage your advanced SQL & Python skills, and deep understanding of the Salesforce ecosystem to quickly analyze and resolve technical issues, escalating complex problems to senior support staff and engineers when needed. • If you are a highly motivated problem-solver with a passion for customer success and a knack for simplifying the complex, we encourage you to apply!

Requirements

• SQL - advanced fluency in table transformation, subqueries, joins and aggregations. Experience working in PostgreSQL databases is preferred. • Python - intermediate fluency with Python concepts including basic string manipulation, creating functions, for loops, and common errors. • Technical acumen (SQL required, experience ramping on multiple coding languages preferred) • Attention to detail and an ability to interpret ambiguous requests to drive Case resolution. • Experience supporting customers within the Salesforce ecosystem.