Senior Solutions Engineer, LocID

7–10 years of relevant experience in Solutions Engineering, Sales Engineering, Technical Architecture, Technical Implementation, or a comparable customer-facing technical role.

Demonstrable experience within the AdTech ecosystem, ideally involving DSPs, SSPs, CTV, programmatic advertising, identity resolution, or data platforms.

Solid knowledge of IP addresses, networking, identity graphs, data matching, and digital identifiers.

Hands-on experience with APIs, large datasets, cloud environments, and technical integrations.

Strong analytical skills, including the ability to interrogate datasets, calculate match rates, validate results, and communicate technical findings.

Practical SQL experience and proficiency in at least one scripting or programming language, preferably Python.

Strong Linux experience and the ability to troubleshoot application, operating system, and network interactions.

Hands-on AWS experience, particularly with S3 and EC2.

Experience testing and debugging APIs using tools such as Postman and cURL.

Ability to understand, document, and explain complex system architectures and data flows.

Excellent written and verbal communication skills, with confidence engaging engineering teams, technical leaders, and commercial stakeholders.

Strong organizational skills and the ability to manage multiple evaluations and integrations while maintaining high-quality standards.

DSPs, SSPs, exchanges, and programmatic advertising infrastructure.

OpenRTB and bidstream data.

CTV identity, targeting, activation, and measurement.

Identity graphs and cross-device identity resolution.

MAIDs, IDFAs, IP addresses, and alternative identity signals.

Audience onboarding, matching, and segment refresh processes.

Private Marketplaces and programmatic activation.

Server-side and client-side advertising environments.

Data clean rooms and privacy-conscious data collaboration.

Data quality, coverage, attribution, and measurement methodologies.

Previous work at an identity provider, DSP, SSP, data platform, or AdTech infrastructure business.

Experience designing or evaluating identity-matching solutions.

Working knowledge of geospatial data, H3 indexing, or location intelligence.

Experience with Snowflake, cloud-based data processing, or large-scale data pipelines.

Understanding of historical IP data, IP reassignment, and identity signal volatility.

Experience with Java/JVM applications and Windows Server environments.

Experience conducting technical proofs of concept that support enterprise commercial decisions.

Intellectual curiosity and a willingness to investigate problems, question assumptions, and understand how systems work.

A strong sense of ownership, taking responsibility for evaluation methodology, results, timelines, and outcomes.

Critical thinking and sound judgment when addressing unfamiliar technical challenges or identifying inconsistencies.

Excellent communication skills and the ability to explain complex technical concepts clearly without relying on jargon.

Commercial awareness and an understanding of how technical solutions must address real business objectives.

Comfort working in evolving environments where customer needs do not always have predefined solutions.

Transparency about technical limitations and the confidence to challenge unrealistic expectations when necessary.

A collaborative mindset and the ability to work effectively with Product, Engineering, Sales, and other stakeholders.

Develop a strong understanding of the product's technology, architecture, and data methodology.

Independently lead technical discovery conversations with prospective customers and partners.

Design and execute technically robust evaluations with clear, defensible results.

Confidently analyze match rates, data quality, and identity resolution challenges.

Build trusted working relationships with Product, Engineering, and commercial teams.

Support customer opportunities as they progress from technical discovery to integration.

Identify recurring integration challenges and contribute to improving documentation, processes, and product capabilities.