Top Tech Jobs & Startup Jobs

Develop and maintain web-based and Python tools for processing, visualizing, and managing large-scale 5D biological imaging data. Implement front-end features, optimize image I/O and performance, write scientific Python code, collaborate with designers and scientists, follow software best practices, and support deployment and documentation.

Lead electrical manufacturing processes in a Class III medical device environment. Responsibilities include process validation, supplier development, and cross-functional collaboration.

The Enterprise Account Executive will engage with C-level executives in the electronics industry, drive sales, optimize strategies, and exceed targets.

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Develop and manage media plans by researching audience and competitive data, building personas, allocating budgets across channels, coordinating with buying and trafficking teams, producing campaign paperwork, and using AI tools to optimize insights and workflows.

Manage a portfolio of mid-market logistics customers to drive onboarding, product adoption, retention, renewals, and expansion. Own implementation, training, QBRs, executive reporting, and cross-functional issue resolution. Serve as customer advocate and partner with Sales, Product, Engineering, Support, and Data. Periodic travel for meetings and conferences.

Lead the development of casino management systems, managing product strategy, documentation, delivery, and cross-functional collaboration while ensuring regulatory compliance.

Act as technical lead for partner integrations: scope, design, build proofs-of-concept, document reference architectures, troubleshoot integrations, and liaise between partners, product, and engineering to accelerate adoption.

Lead enterprise FP&A: own budgeting, forecasting, consolidated reporting, Board and investor materials, IPO readiness, financial modeling, performance KPIs, finance transformation, and a corporate FP&A team. Partner across finance, accounting, treasury, tax, legal, and systems to scale planning processes, automation, analytics, and decision support.

Lead product strategy and execution in enterprise AI, shape cross-client product strategy, ensure AI product quality, and advise clients on AI operations.