Technical Account Manager (Data Focused)

At Innervate (formerly RevJet), we envision an "Innervated" future where marketing professionals seamlessly orchestrate personalized, dynamic content - for any channel - without today's high costs and the headaches caused by siloed systems and data.

We help companies automatically deliver the right content, in the right place, at the right time. Instead of teams manually creating endless versions of websites, apps, emails, and ads, Innervate connects data, creative, and channels so content can adapt itself in real time.

With Innervate's Dynamic Content Orchestration Platform, our customers get unlimited dynamic content use cases to market as quickly and easily as adding a device to a Wi-Fi network or downloading an app to a phone. 
 
What will you do

As a Data Focused Technical Account Manager, you will partner with clients and internal teams to manage post‑sales onboarding, support and integration—especially for large-scale data workflows and storage systems. 

You’ll be the trusted customer-facing data infrastructure expert, driving successful implementation of high-volume data operations.

Key Responsibilities

• Serve as the primary technical liaison for customers, focusing on data-driven integration and usage.
• Collaborate with Customer Success Managers, engineering, product and vendors to deliver seamless storage bucket integrations (cloud storage, object stores), and large data-set pipelines.
• Leverage strong knowledge of HTTP protocols, REST APIs, and batch processing to support methods like server‑to‑server transfers, pixel APIs, streaming, and batch ingestion.
• Guide customers through data ingestion, storage, and retrieval workflows, helping them configure, troubleshoot, and optimize.
• Provide hands‑on support across languages and platforms: JavaScript, Java, C, Python, plus front‑end technologies HTML/CSS for any integration surfaces or testing UIs.
• Support client feature requests: define, debug, and test against HTTP endpoints and storage targets when handling large datasets.
• Conduct onboarding sessions and technical workshops, educating customers on data management best practices, file formats, streaming concepts, and usage of SDKs/APIs.
• Monitor usage metrics and performance: recommend optimizations around bucket structure, transfer protocols, throughput, and data partitioning.
• Actively contribute feedback to product and engineering teams to improve data reliability, scale, and usability.
• Troubleshoot cross-platform issues for creatives or datasets across different storage buckets and client environments.
• Document data workflows, technical solutions, error handling strategies, and configuration guides.
   

About you

• Bachelor’s (or Master’s) in Computer Science, Engineering, or a related quantitative discipline is a huge plus.
• 5+ years in technical customer-facing roles, including post‑sales TAM, Solutions Engineering, or Data Engineering.
• Hands‑on experience with HTTP architectures (REST, API endpoints, proxying, batch vs streaming).
• Practical experience managing data storage systems: AWS S3, GCP buckets, Azure Blob Storage, and/or equivalent systems.
• Strong skills with one of these languages: JavaScript, Java, C, or Python; ability to write scripts, SDK clients, or troubleshoot customer code.
• Solid understanding of HTML/CSS for debugging creative delivery or embedding integrations.
• Familiarity with handling high-volume data sets, ETL design, partitioning, error handling.
• Excellent communication skills in English, capable of translating technical concepts to non‑technical stakeholders.
• Customer‑centric mindset, ability to balance technical rigor with business/usage goals.
• Experience collaborating with cross-functional teams (support, product, engineering) to resolve escalations.
• Nice to have: prior experience in AdTech, DMPs/ DSPs, analytics platforms, or cloud data workflow orchestration.