Intellypod

Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services, including automation, analytics, and customer experience enhancements. With a focus on innovation, Intellypod has completed over 150 projects and serves more than 1,000 clients, positioning itself as a leader in the AI-driven technology space. Their mission is to empower businesses with advanced technologies that drive efficiency and sustainable growth.

AIAutomationCloud ServicesCustomer ExperienceData AnalyticsDigital TransformationMachine LearningRobotic Process Automationintellypod.com

Intellypod

AIAutomationCloud ServicesCustomer ExperienceData AnalyticsDigital TransformationMachine LearningRobotic Process Automationintellypod.com

HQHouston, US

Team Size16

Open Jobs14

Total Funding-

Latest FundraiseUnknown

Join the Team

Technical Project Manager

RemoteUS

Remote • US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Technical Writer

InternshipHamburg, DE

Internship • Hamburg, DE

DevOps Engineer

Part-timeAustin, US

Part-time • Austin, US

Frontend Developer

InternshipMunich, DE

Internship • Munich, DE

DevOps Engineer

Full-timeLondon, GB

Full-time • London, GB

AI Researcher

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Software Engineer

InternshipNiš, RS

Internship • Niš, RS

Client Communication: Be the client SPOC for the data management initiative / initiatives. Manage customer expectations, be the bridge between the client leadership teams and plan / execute successfully.
Project Execution: Plan, lead, and monitor data projects to completion, maintaining timelines and budgets.
Technical Oversight: Oversee data modeling, database design (relational/NoSQL), warehouse infrastructure, and ETL/data pipeline performance.
Stakeholder Management: Translate business needs into technical requirements, ensuring data assets are high-quality and actionable.
Risk & Data Management: Identify project risks, manage data security, and implement data governance standards.
Technical Expertise: Utilize skills in SQL, Python, and big data technologies (e.g., Hadoop, Spark) to guide developers.

Technical Skills: Skilled in SQL, ETL processes, and data technologies (e.g. Databricks, Oracle or similar)
Project Management: Experience with PM methodologies to track project, status, and resource allocation and activities.
Analytical Abilities: Ability to analyze large datasets and translate data into business action.
Communication: Strong ability to communicate technical concepts to non-technical stakeholders and manage all client communication on project initiatives.