Solutions Engineer

In this role you will oversee Offerwall fraud review and outsourced customer support for OFW, blending data analysis with operational excellence. You’ll leverage analytics tools to validate claims, refine fraud detection criteria, and report trends to internal stakeholders. You will also supervise the outsourced CS vendor, identifying improvement opportunities and piloting AI-driven support workflows. This position offers growth toward broader Solutions Engineer responsibilities across DT Exchange and DT Fairbid. You join a fast-paced, collaborative team shaping how fraud prevention and support evolve in a mobile ad tech ecosystem.

• Review and adjudicate advertiser fraud claims on OFW campaigns using SQL and Databricks
• Decide claim outcomes (accept/charge back, decline, or partial compensation) based on data and policies
• Refine fraud detection heuristics and review criteria with anti-fraud and data teams
• Stay updated on fraud trends and methods affecting mobile advertising
• Produce regular fraud and claim trend reports for internal stakeholders and partners
• Escalate recurring fraud patterns to inform product roadmap and policy decisions
• Monitor outsourced CS performance against SLAs and quality standards
• Identify ticket patterns, reduce volume and resolution time, and drive support workflow improvements
• Champion AI-assisted triage, automation, and self-service options for end users
• Act as internal point of contact for the outsourced CS vendor
• Develop deep OFW end-to-end product knowledge and collaborate with Product, Data, and Sales
• Collaborate to extend support for DT Exchange and DT Fairbid as needed
• Occasional travel

• Bachelor in quantitative, business, or technical field or equivalent practical experience
• At least 1 year in analytics, fraud/risk, trust & safety, CS operations, or sales/solutions engineering
• Strong SQL skills; Databricks or similar data platforms preferred
• No object-oriented programming experience required
• Genuine interest in fraud dynamics and evidence-based investigation
• Solid business acumen and comfort with financially impactful judgments
• Experience or interest in support operations and vendor management; openness to AI tooling
• Excellent communication to explain data-driven decisions to technical and non-technical stakeholders
• Ability to work independently and manage two work streams in a fast-paced environment
• AdTech or mobile app ecosystem experience is a plus

• strong communication
• independence and self-management
• analytical mindset with curiosity
• SQL
• Databricks or similar data platforms
• fraud detection and analytics