This requisition is a placeholder for creating a Senior North America Solutions and Product Marketing Manager role from scratch. No specific responsibilities, qualifications, technologies, compensation, location, travel, or clearance requirements are provided.
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An empty job that is used for creating requisitions 'from scratch'
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Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads business and technical requirements analysis, business case development, process improvement, solution design, testing, implementation, and post-deployment optimization for Workday ERP systems. Partners with business leaders, architects, QA, IT, vendors, and project teams to deliver scalable solutions. Facilitates large-group meetings, mentors analysts, assesses system changes, and recommends continuous improvements across Workday modules.
Top Skills:
Enterprise Resource Planning (Erp)System Lifecycle ManagementWorkday Adaptive PlanningWorkday ErpWorkday FinancialsWorkday PsaWorkday Time And Expense
Fintech • Machine Learning • Payments • Software • Financial Services
Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchVectordbs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science for consumer and developer experiences, partnering with engineers and product managers to deliver customer-focused products. Builds, evaluates, validates, and deploys machine learning models using large-scale numerical and textual data. Applies statistical modeling, A/B testing, clustering, classification, sentiment analysis, time series, and deep learning while translating technical insights into business outcomes. The role also includes team leadership, talent development, and evaluating emerging AI and cloud technologies.
Top Skills:
SparkAWSCondaGenerative AiH2OMachine LearningPythonRRelational DatabasesScala
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
