Senior Solutions Engineer, LocID

Accountabilities: As a technical authority for customer and partner engagements, you will guide organizations from initial discovery through evaluation, integration, and successful deployment. Your responsibilities will include: Lead technical discovery sessions to understand customer architectures, data environments, identity frameworks, and business requirements. Design and communicate solutions connecting IP addresses, persistent geospatial identifiers, device identifiers, location signals, and third-party datasets. Evaluate integration approaches across APIs, cloud infrastructure, data pipelines, and batch-processing environments. Translate customer needs into viable technical solutions, explaining architectural trade-offs, limitations, and recommendations. Design, scope, and execute technical evaluations, proofs of concept, and partner data tests, defining clear objectives, methodologies, success criteria, and deliverables. Analyze match rates, data coverage, quality, identifier relationships, and technical feasibility, producing accurate and reproducible findings. Collaborate with Product and Engineering to investigate unexpected results, validate assumptions, and resolve technical discrepancies. Develop in-depth knowledge of identity resolution, IP volatility, audience targeting, activation, and measurement across programmatic advertising and connected TV environments. Lead customer onboarding and technical integrations, testing and troubleshooting APIs, data pipelines, and cloud-based environments. Work hands-on with AWS services, including S3 and EC2, and use tools such as SQL, Postman, cURL, and scripting languages to validate and debug integrations. Maintain ownership throughout implementation, launch, and post-launch optimization, creating technical documentation, integration guides, and reusable best practices. Partner with Sales and Business Development to support customer opportunities, communicate technical feasibility, identify risks, and translate technical concepts into business outcomes. Share customer requirements and recurring integration challenges with Product, Engineering, Data Science, Privacy, and Legal teams to inform product improvements. Support international partners and collaborate across time zones when required. Requirements The ideal candidate combines substantial customer-facing technical experience with strong AdTech knowledge, analytical capabilities, and a proactive approach to solving complex problems. You should bring: 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. Relevant AdTech knowledge should include several of the following: 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. Additional experience that would be particularly valuable: 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. Personal attributes and working style: 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. Expected outcomes within the first six months: 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. Benefits Competitive salary and bonus program. Medical, dental, and vision coverage. Paid holidays. Unlimited paid time off policy. 401(k) plan with employer contribution match. Opportunity to influence product direction, technical best practices, and the adoption of innovative identity technology. The chance to collaborate with leading businesses across the global advertising ecosystem and make a meaningful impact in a growing organization.