• Own customer rollouts end to end — data integration, model build-out, validation, and production cutover — as the primary technical owner. • Build AI-driven automated test harnesses to validate every new product release against real customer use cases and models, catching regressions before they reach customers. This is a critical function of the role: you'll use AI to generate, run, and evaluate test cases at scale across diverse customer configurations. • Build and maintain data integrations between customer source systems (ERP, GL, data warehouses) and our platform, treating them as durable, version-controlled engineering deliverables rather than throwaway scripts. • Translate real-world requirements in financial and operational modeling into correct, performant models on the platform. • Diagnose and resolve data, performance, and correctness issues — often deep in SQL, source data, and consolidation logic. • Ship bug fixes and feature extensions directly against the platform — make targeted product changes to unblock customers and close gaps surfaced in the field, rather than only filing tickets and waiting on core engineering. • Act as the feedback loop to product and engineering: surface friction, propose fixes, and where warranted, build them. • Partner with customer stakeholders across finance and operations, earning trust as someone who understands their domain and can make the software do what they need

• Support Project Managers throughout the tool build cycle • Provide support to site QE on how to measure dimensions, supporting correlation between Viant manufacturing location, mold shop, & customer, support measurement fixture design and manage fabrication • Work with Site Tooling Engineer on requirements throughout design. • Work with Process Engineer on requirements throughout design and development. • Provide engineering support for business development to sell tooling solutions and solve tooling issues. • Provide engineering support for existing tool modification and repairs. • Supervision of tooling bench inspection upon receipt at Viant facility and instruction to tool room employees for correct preparation to get the molds ready for validation as needed. • Provide tooling troubleshooting and advanced mold diagnostics support to the manufacturing locations • Lead structured root cause analysis and drive corrective actions in collaboration with site teams. • Support quoting and early customer engagements by providing tooling technical input. • Manage DFM including Drawing reviews with site Quality Engineers • Manage mold shop's deliverables & expectations • Confirm receiving site requirements including press designation • Travel to various customer sites, tool fabrication sites and Viant production facilities as needed.

• Serve as the primary technical point of contact for assigned telecommunications partners throughout integration and deployment activities. • Lead technical reviews, integration workshops, deployment readiness assessments, and launch planning discussions. • Communicate technical requirements, dependencies, risks, and timelines to both technical and business stakeholders. • Support the deployment and validation of wireless network services across multiple network domains. • Lead root cause analysis activities for complex network, system, and service-related issues. • Track deployment milestones, readiness criteria, and partner integration status.

• Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective. • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation. • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing. • Present results to key stakeholders and assist them in utilizing algorithms for client engagement. • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.