亚马逊Employee Experience PM II, VRMO
任职要求
基本任职资格
- Experience defining program requirements and using data and metrics to determine improvements
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Bachelor's degree
- Knowledge of Photoshop, video editing, and related tools
优先任职资格
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeh…工作职责
: Manage projects from inception to completion, including small, medium, and large-scale projects across the VRMO functions. Develop detailed project plans and schedules, identify resources needed, and assign responsibilities Continuously monitor project progress, track milestones and deliverables, and ensure timelines and budgets are met Proactively identify and resolve issues, including escalations when obstacles or blockers arise - Assist with employee research initiatives that help us identify pain points and opportunities to improve our products and strategies Dive deep into engagement data to surface trends, opportunities, and successes Write status report documents for internal and leadership review of current projects and strategic priorities
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? For our Engineering team, we are looking for an Expert of Power System Simulation & Verification to help us drive Electrification & Automation Business within Siemens and beyond. We are a highly motivated team and are excited to get to know you. You’ll make an impact by • Work out the grid study report based on the system parameters and the hardwires in the renewable projects • Attend regular meetings and technical acceptance meeting with EPC customer, consultancy company and end user and successfully fulfill the standards / technical requirements of the end user. • Provide the required technical trainings to the customer, which included in the contract. • Collect all the technical requests from various project, and communicate with HQ PLM / R&D team, to support our portfolio development in line with the latest customer requests • Support project manager and design engineer to improve revenue margin, control NCC to the minimum, on time delivery and achieve the overall customer satisfaction as a team member in the execution team. • Technical knowledge sharing within internal team (to technical proposal, design, PM).
• Partner with our Research and PM team to design, develop and ship innovative algorithms and high-quality features to Search Ads system.• Develop a deep understanding of search ads products, apply machine learning, statistic data analysis, computational linguistics, and other technologies to identify areas from web-scale data for major improvements.• Apply SOTA deep learning algorithms and other cutting-edge technologies to build effective and efficient models to improve recall, relevance, and revenue.
• Ship features with PM & Engineering. Co‑own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets. • Model development & optimization. Design, fine‑tune, and evaluate models for LLM‑based authoring, summarization, reasoning, voice/chat, and personalization (e.g., SFT, alignment, prompt/tool use, safety filtering, multilingual & multimodal). • Data & evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores; author offline eval harnesses; run online A/Bs and interleavings; define guardrails and success metrics; author scorecards and decision memos. • Production ML engineering. contribute to service code and configs; add monitoring, tracing, dashboards, and auto‑scaling; participate in on‑call and postmortems to improve live‑site reliability. • Responsible AI. Produce review artifacts, document mitigations for safety/privacy/fairness, support red‑teaming and sensitive‑use checks, and align with Microsoft’s Responsible AI Standard. • Collaboration & mentoring. Partner across PM/ENG/Design/CE/ORA/CELA; share methods and code, review PRs, improve reproducibility and documentation; mentor junior scientists.
• Ship features with PM & Engineering. Co‑own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets. • Model development & optimization. Design, fine‑tune, and evaluate models for LLM‑based authoring, summarization, reasoning, voice/chat, and personalization (e.g., SFT, alignment, prompt/tool use, safety filtering, multilingual & multimodal). • Data & evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores; author offline eval harnesses; run online A/Bs and interleavings; define guardrails and success metrics; author scorecards and decision memos. • Production ML engineering. contribute to service code and configs; add monitoring, tracing, dashboards, and auto‑scaling; participate in on‑call and postmortems to improve live‑site reliability. • Responsible AI. Produce review artifacts, document mitigations for safety/privacy/fairness, support red‑teaming and sensitive‑use checks, and align with Microsoft’s Responsible AI Standard. • Collaboration & mentoring. Partner across PM/ENG/Design/CE/ORA/CELA; share methods and code, review PRs, improve reproducibility and documentation; mentor junior scientists.