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InfoSum

Secure data collaboration platform preserving privacy

Solutions Engineer - Data

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$100k - $230k

About the Job

Requirements

  • Proficiency writing, debugging, and optimizing SQL queries.
  • Hands-on experience using Python to format data, create deliverables, and automate workflows; candidates must have coded in Python rather than relying only on AI-assisted familiarity.
  • Experience working in at least one of GCP, Snowflake, AWS, Azure, or Databricks, including navigating cloud storage, understanding data pipelines, and troubleshooting technical issues in cloud environments.
  • Experience working with or supporting API-based integrations between platforms.
  • Understanding of the paid media ecosystem, including how advertisers, agencies, demand-side platforms, supply-side platforms, publishers, and data platforms work together.
  • Ability to translate complex technical concepts into clear language for non-technical stakeholders.
  • Ability to work effectively in fast-moving, evolving environments where processes are still being built and problems may not have established playbooks.
  • A customer-first approach to technical work and treating clients as partners.
  • Interest in learning about cloud environments, privacy technology, and sophisticated data teams in media.
  • A process-oriented approach to documentation, standardization, and replication.
  • A proactive, ownership-driven approach to identifying problems, raising them, and proposing solutions.

Responsibilities

  • Own an assigned portfolio of WPP clients and partners as their primary technical contact and implementation lead.
  • Scope, design, and execute data collaboration solutions from initial discovery through go-live and ongoing optimization.
  • Provide customer-facing DevOps support during the post-sale cycle by troubleshooting, building, and maintaining client implementations across multiple cloud environments.
  • Write SQL queries and Python scripts, and build data workflows to deliver insights and activate campaigns for clients.
  • Support pre-sale technical conversations, solution design, and proof-of-concept work alongside the sales team.
  • Build and maintain technical documentation, implementation playbooks, and process standards as the team scales.
  • Implement InfoSum's native app technology across GCP, Snowflake, AWS, Azure, and Databricks over the next 6–12 months.
  • Support WPP-internal initiatives including Data Meter for usage tracking, Data Catalog for asset discovery, and Dataset Audit for data validation.

Desired Qualifications

  • Familiarity with privacy-safe data collaboration concepts; hands-on clean room experience is not required.

About the Company

InfoSum

Secure data collaboration platform preserving privacy

InfoSum provides a Secure Data Clean Room platform that enables data collaboration with end-to-end privacy protection. The platform lets businesses match audiences and leverage first-party data without physically moving data, using a non-movement of data approach to perform privacy-forward data partnerships. How it works: data stays within each party’s environment while signals are securely combined and analyzed to measure the impact of data-driven strategies, helping users derive insights and optimize campaigns without exposing raw data. How it differs from competitors: a strong emphasis on privacy as a core principle, trusted by global brands, and a practical, non-movement model that preserves data control while enabling effective audience matching and measurement. What the company aims to achieve: help businesses maximize return on investment from their data by delivering relevant customer experiences while protecting privacy and maintaining trust and compliance across markets.

Company size
51-200
Company stage
Series B
Total funding
$88.1M
Headquarters
London, United Kingdom
Founded
2016

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