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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - **Company:** West Coast Consulting LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, BigQuery, Cloud Computing, Cloud Engineering, Computer Programming, Information Engineering, Data Infrastructure, Data Systems, Distributed Systems, Data Flow Control, Fraud Prevention and Detection, Apache Hadoop, Python (Programming Language), Machine Learning, Scrum Methodology, Release Management, Tensorflow, Cloudera, Software Engineering, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Generative AI, Apigee, Event Driven Architecture, Information Technology, Data Analytics, Machine Learning Operations, Cloud Migration, Virtual Agents, Api Design, Restful APIs, Marketplace, Mulesoft, Databricks, Microservices - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/50096e40-277c-4719-91c5-2727c95e7f5d ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related field. * 12+ years of experience in Technical Program Management, Software Engineering, or Engineering Leadership. * Proven experience leading enterprise-scale technology programs valued at $10M+. * Strong understanding of distributed systems, cloud-native architectures, microservices, APIs, and modern software engineering practices. * Experience managing multiple engineering teams across global locations. * Hands-on knowledge of Agile, Scrum, and SAFe methodologies. * Strong stakeholder management and executive communication skills. * Experience driving large-scale digital transformation initiatives. * Ability to influence engineering and product leadership without direct authority. Preferred Skills: * Experience in Payments, FinTech, Retail, Marketplace, or eCommerce platforms. * Strong knowledge of Google Cloud Platform, AWS, Databricks, and modern data platforms. * Experience with AI/ML, Generative AI, and data engineering initiatives. * Knowledge of fraud detection, customer analytics, and recommendation platforms. * Experience leading cloud migration and platform modernization programs. * PMP, CSM, or SAFe certifications are a plus. Technical Skills: Cloud: Google Cloud Platform, AWS, Databricks, Hadoop Architecture: Microservices, Distributed Systems, Event-Driven Architecture, API-First Design AI/ML: Vertex AI, TensorFlow, PyTorch, MLflow, Generative AI, LLMs, Agentic AI Data Technologies: BigQuery, Dataflow, Dataproc, Airflow, Pub/Sub, Lakehouse Integration: REST APIs, MuleSoft, Apigee Programming: Java, Python ## Description Senior Technical Program Manager to lead complex, cross-functional technology initiatives that power large-scale customer experiences and enterprise platforms. The ideal candidate has extensive experience delivering cloud-native, data-driven, and AI-enabled products while partnering with engineering, product, architecture, and business stakeholders to execute strategic programs from concept through production., * Lead end-to-end execution of large-scale technology programs across engineering, product management, architecture, data science, and business teams. * Define program strategy, technical roadmaps, milestones, dependencies, and delivery plans for highly complex initiatives. * Drive architecture discussions and collaborate with engineering leaders to build scalable, resilient, and cloud-native platforms. * Manage multiple concurrent workstreams, identify risks, remove blockers, and ensure predictable delivery across globally distributed teams. * Partner with Product Managers to prioritize features, define execution plans, and align engineering deliverables with business objectives. * Lead Agile/SAFe planning, quarterly roadmaps, sprint planning, backlog prioritization, and release management. * Establish governance models, executive reporting, KPIs, and program metrics to ensure successful execution. * Coordinate cross-functional teams spanning Product, Engineering, Architecture, Data Science, Security, Infrastructure, Compliance, Finance, and Operations. * Drive cloud modernization, platform migrations, data engineering initiatives, and enterprise digital transformation programs. * Collaborate with executive leadership to communicate program status, risks, trade-offs, and strategic recommendations. * Ensure high-quality delivery while balancing scalability, reliability, security, and operational excellence. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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