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Support client onboarding by designing and implementing technical integrations on a SaaS platform. Lead technical discovery, propose solutions, create integration docs, troubleshoot issues, and collaborate with Onboarding and Client Success to get clients live efficiently.

Build and maintain scalable full-stack features for the Tracking team: design modules and services, build internal APIs, improve deployments, work with external APIs and message buses, troubleshoot issues, and contribute in an agile team from idea to production.

The Internal Systems Engineer (Applied AI) builds AI tools, maintains agent platforms, and develops internal software for Customer Operations at impact.com. Responsibilities include working with business stakeholders, integrating AI in workflows, and improving operational efficiency through automation.

Manage onboarding, technical activation, performance optimization, and growth for a portfolio of publishers using impact.com's Spot product. Act as primary publisher contact, troubleshoot technical issues, present performance reviews, scale revenue through automation and playbooks, and collaborate with brand, product, and development teams to align inventory with CPC campaigns and feed product feedback.

Serve as a product expert for impact.com, manage assigned accounts with proactive monitoring and regular check-ins, deliver training and reactive product support, build client relationships, escalate technical issues, and drive successful affiliate/partnership marketing campaigns.

Provide legal advice on corporate, commercial, and privacy matters; draft, review, and negotiate complex SaaS, MSA, and data processing agreements; partner with sales, finance, and customer teams to accelerate deals; develop contract templates and playbooks; manage outside counsel; support corporate governance, international expansion, and M&A due diligence as needed.

Manage enterprise client relationships to drive retention and growth. Develop strategic account plans, build successful marketing campaigns using the platform, deliver proactive and reactive support, conduct executive reviews, monitor accounts, identify upsell opportunities with Sales, provide training and product support, and delegate technical issues as needed.

Manage and support enterprise accounts by providing product expertise, proactive account monitoring, regular check-ins, training, and relationship building. Resolve issues, escalate technical problems, and collaborate cross-functionally to optimize clients' marketing campaigns and drive success.

The role involves designing and deploying machine learning models for yield optimization and inventory allocation in programmatic advertising, collaborating cross-functionally while ensuring production-grade ML system reliability and performance.

The role involves designing and deploying ML models for yield optimization, pricing, inventory allocation, and developing real-time decision systems within a programmatic advertising context, collaborating across teams and ensuring production-ready implementations.