Partnership Manager, AI for Science
As a Partnership Manager for the AI for Science Program, you'll cultivate partnerships with labs globally to enhance the deployment of AI in life sciences research.
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As a Partnership Manager for the AI for Science Program, you'll cultivate partnerships with labs globally to enhance the deployment of AI in life sciences research.
Coordinate onsite interviews, candidate travel, and interview-day logistics while supporting recruiting operations and ensuring candidates have a positive experience throughout the hiring process.
Own electrical safety across AI supercomputing facilities, leading NFPA 70E programs, hazard studies, safe-work procedures, worker training, and incident response for critical power systems and facility expansions.
Prospect and win convenience stores, grocery stores, and bottle shops for Toastโs Retail platform, managing the full sales cycle and tailoring solutions to each businessโs needs.
Own the multi-year KYB strategy for MoonPay Enterprise, turning business onboarding into a measurable, fast, API-first platform across partners, compliance requirements, verification vendors, and banking rails.
Prospect and win convenience store, grocery, and bottle shop customers for Toast Retail, managing the sales cycle from outreach and demos through close while tailoring solutions to each business.
Resolve high-impact financial institution integration issues by debugging and shipping code, coordinating with data partners, and improving the reliability, quality, and reach of Plaidโs connectivity network.
Manage international tax strategy, planning, compliance, transfer pricing and audits across territories outside North America, advising on business changes and supporting the groupโs global tax operations.
Guides clients through the technical product lifecycle, from pre-sales discovery and solution design to implementation, onboarding, adoption, and optimization, while advising partners and shaping product improvements.
Architect and operate backend and platform systems for pricing, payments, subscriptions, and billing, ensuring reliable, secure financial workflows and trustworthy customer and internal experiences.
Transforma processos e produtos digitais com foco em eficiรชncia operacional, aplicando tecnologia e IA para maximizar valor de negรณcio, simplificar jornadas de clientes e mensurar ganhos.
Research and analyze risk and compliance information on individuals and companies, using AI and open-source tools to produce client reports, identify potential risks, and manage cases.
Partner with startup founders and engineers to design, evaluate, and deploy production LLM solutions on the Claude Developer Platform, guiding technical adoption and sharing product insights.
Build and operate production-grade data pipelines, warehouse infrastructure, and analytics foundations that deliver trusted company-wide data and support AI initiatives across the business.
Leads financial analysis, diligence, and execution for distributed energy acquisitions while supporting customer origination, project underwriting, and portfolio strategy across behind-the-meter energy assets.
Architect and improve diagnostics infrastructure, tools, and processes for self-driving and vehicle systems, guiding subsystem teams and shaping diagnostics strategy through technical leadership.
As a Data Strategy & Analytics Senior Analyst, you will lead client engagement, develop data-driven insights, and enhance measurement strategies to optimize marketing performance.
Lead engineering teams building and rebuilding Cloudflareโs billing and payments platform, delivering scalable, reliable financial infrastructure while setting technical direction and developing high-performing engineers.
Leads and develops a product marketing team for power reliability products, setting portfolio strategy and guiding launches, commercialization, customer engagement, and cross-functional execution to drive growth.
Own and deliver technology and data initiatives, combining project management, analysis and reporting, workflow automation, and hands-on systems support to help teams make informed decisions and improve operations.
Build and own reusable data products, reliable pipelines, and ML-powered systems, partnering with internal consumers to improve data quality, self-service access, and workflows across teams.
Own and evolve geospatial visualization libraries, delivering 2D and 3D rendering capabilities, improving performance on complex map datasets, and building scalable tools for engineering teams.
Own monthly financial statements and the enterprise close while preparing financial reports, analyzing trends and variances, completing specialized accounting and tax work, and supporting junior staff.
Build and operate Android rider experiences for bike- and scooter-share platforms, owning components end to end while improving reliability, performance, and the tools that support continuous delivery.