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Supports daily Ann Arbor office operations by organizing shared spaces, managing mail and packages, coordinating food and beverages, assisting with meetings and events, maintaining inventories and records, coordinating vendors, and communicating facilities needs. The role requires dependable, proactive, detail-oriented service, comfort with hands-on tasks, professional communication, discretion, and the ability to manage multiple priorities on-site.

Leads global finance strategy and operating models for international market expansion. Oversees finance readiness, interim market leadership, controllership, accounting, reporting, SOX controls, governance, service providers, and transitions to local or outsourced teams. Partners with Accounting, SEC Reporting, Tax, Treasury, Legal, HR, FP&A, auditors, and executives to establish compliant, scalable processes across multiple jurisdictions.

Own the organization’s infrastructure and application security posture across Azure, AKS, on-premises systems, and client applications. Lead vulnerability management, penetration testing, IAM hardening, container and CI/CD security, incident response, compliance readiness for SOC 2 and GDPR, client security requirements, and audit coordination. Develop runbooks, detection logic, remediation plans, and leadership metrics while partnering with engineering, DevOps, offshore teams, auditors, vendors, and clients.

Designs and simulates FPGA/modem systems using Ultrascale+ and Versal platforms. Develops VHDL and SystemVerilog designs, works with high-speed SerDes and communication interfaces, and uses scripting languages for development and automation. The role requires extensive FPGA experience and offers contract-to-permanent potential. Software-defined radio/modem, PetaLinux, RF design, encryption, and active government clearance experience are preferred.

Lead product design for Via’s Transit Operations platform, creating scalable experiences for complex, information-dense workflows used by transit dispatchers and operators. Partner with Product and Engineering to define direction, resolve ambiguity, validate decisions through research and data, and deliver polished solutions. Influence broader design quality through systems thinking, critique, shared patterns, and strong stakeholder communication. Explore emerging technologies, including AI, in product design workflows.

Lead enterprise cross-sell efforts for tvScientific by Pinterest across CTV, video, and programmatic advertising. Build joint account plans, develop senior advertiser and agency relationships, identify strategic opportunities, and drive revenue from initial engagement through close. Establish co-selling processes with Pinterest’s enterprise sales organization, partner with marketing, measurement, product, and sales teams, and track pipeline and customer engagement. Use AI for account research and planning while verifying accuracy and maintaining sound judgment.

Test job only; no substantive responsibilities or duties are provided.

Leads procurement, strategic sourcing, supplier development, inventory and property management, logistics, and supply-chain compliance across aerospace and defense programs. Ensures FAR and DFARS compliance, manages supplier qualification and performance, supports technical data and configuration processes, assesses supply risks, and builds scalable material-management systems. Partners with Engineering, Finance, Contracts, Quality, Security, and Program Management to maintain readiness, cost control, documentation, and operational resilience.

This is a general application for candidates whose skills do not match currently posted openings. Applicants are added to the organization’s talent pool and may be considered for current or future positions. The application does not replace applying to specific advertised roles, and candidates are encouraged to check the employment page periodically and submit official applications for suitable openings.

Design, build, and operate complex Apache Airflow workflows, Snowflake and dbt data transformation pipelines, and distributed data science inference systems across multi-cloud environments including AWS and GCP. Collaborate with an experienced data engineering team while applying systems engineering and product lifecycle principles.