Solutions Engineer

- Own an assigned portfolio of WPP clients and partners, serving as their primary technical contact and implementation lead

- Scope, design, and execute data collaboration solutions from initial discovery through go-live and ongoing optimization

- Act as a "customer-facing DevOps resource" during the post-sale cycle-troubleshooting, building, and maintaining client implementations across multiple cloud environments

- Write SQL queries, 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 all five major cloud environments (GCP, Snowflake, AWS, Azure, Databricks) over the next 6-12 months

- Support growing WPP-internal initiatives including Data Meter (usage tracking), Data Catalog (asset discovery), and Dataset Audit (data validation)

- SQL proficiency (ESSENTIAL): InfoSum's platform is built on a SQL-like query language. You must be comfortable writing, debugging, and optimizing SQL queries.

- Python for data operations: Hands-on experience using Python to format data, create deliverables, and automate workflows. Must have actually coded in Python-not just AI-assisted familiarity.

- Cloud environment experience: Experience working in at least one of: GCP, Snowflake, AWS, Azure, or Databricks. Comfortable navigating cloud storage, understanding data pipelines, and troubleshooting technical issues in cloud environments.

- API integration experience: Has worked with or supported API-based integrations between platforms.

- Service mentality: Approaches technical work with a customer-first mindset. Treats clients as partners, not just recipients of your technical expertise.

- Excellent communicator: Can translate complex technical concepts into clear, accessible language for non-technical stakeholders.

- Comfortable with ambiguity: Thrives in fast-moving, evolving environments where processes are still being built and problems don't always have a playbook.

- AdTech/MarTech experience (ESSENTIAL): Must understand the paid media ecosystem-how advertisers, agencies, DSPs, SSPs, publishers, and data platforms work together.

- Data collaboration or clean room familiarity: Familiarity with privacy-safe data collaboration concepts is a strong plus (hands-on clean room experience NOT required).

- Hungry to learn and grow: This role will expose you to five different cloud environments, cutting-edge privacy technology, and some of the most sophisticated data teams in media. You need to be excited by that, not overwhelmed.

- Process-oriented: Naturally thinks about documentation, standardization, and replication-not just solving one-off problems.

- Proactive and ownership-driven: Doesn't wait to be told what to do. Sees problems, raises them, and proposes solutions.