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PhillyTech.Co
Our client is hiring a Data Engineer Lead to help architect and scale the company’s AI native data foundation from the ground up.
You will own the pipelines, warehouse architecture, data ingestion systems, and infrastructure powering AI workflows, customer analytics, and enterprise scale data processing. You will work closely with leadership, AI Engineers, and Full Stack Engineers to build scalable systems that support real time intelligence, AI workflows, and multi tenant SaaS operations.
Responsibilities
Interview Process
About SaaS Talent
SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice.
Reach out to us at www.saas-talent.com to learn more about how we can help you.
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This role is hybrid, working onsite in Wayne, PA - 1 day per week, typically Tuesday or Thursday.
ARE YOU READY TO HELP BUILD THE MISSING AI OPERATIONAL LAYER POWERING THE FUTURE OF ENTERPRISE CUSTOMER EXPERIENCE?
Our client is a fully funded, AI SaaS startup currently operating in stealth mode and preparing for rapid enterprise scale. They are building a next generation operational intelligence platform focused on solving massive workflow, visibility, and execution challenges across complex enterprise networks.
Their platform combines AI workflows, real time data systems, and enterprise grade infrastructure to modernize how large organizations manage customer experience at scale. Our client is currently in rapid growth mode, actively expanding its engineering organization as it continues advancing conversations and partnerships with enterprise customers across the industry.
This is a rare opportunity to make a BIG Impact at an early stage high growth startup. They have strong funding, experienced founders, real enterprise traction with product market fit, and a highly technical product vision centered around AI native infrastructure from day one.
Benefits
This job is found at InterviewStack.io
