亚马逊Sr. Analytics GTM Specialist, GCR SSO (Service Specialist Orgnization)
任职要求
基本任职资格 - 5+ years of developing, negotiating and executing business agreements experience - 5+ years of professional or military experience - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules 优先任职资格 - Experience interpreting data and making business recommendations - Experience identifying, negotiating, a…
工作职责
1) Drive overall market and technical strategy as it relates to AWS Big Data & Analytics services. 2) Execute the strategic business development plan while working with key internal stakeholders (e.g. account teams, channel teams, service teams, support, etc.). 3) Identify specific prospects/partners to approach while communicating the specific value proposition for their business and use case. 4) Build and enable the related partner ecosystem for Greater China and fill the business development pipeline by engaging with prospects, partners, and key customers. 5) Help define the market segments, customer base, and industry verticals we target within Greater China and set a strategic business development plan for target markets and ensure it's in line with the strategic direction. 6) Work closely with the customer base to ensure they are successful using AWS web services, making sure they have the technical resources required. 7) Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our product offerings. 8) Develop long-term strategic partnerships and handle a high volume of engagements and the fast pace of the cloud computing market 9) Experienced with account management (Enterprise, SMB and startup) and solution selling ability. 10) Relevant technical experience and industry knowledge will be very heplful. BI conversation is very business oriented thus enterprise industry (for example, retail, manufacturing etc..) experience is must have. A day in the life 1) Customer meetings to learn their business needs and pain points. 2) Understand product positioning in the market and in front of competitors. 3) design Go-to-Market strategy of the product and track the results with adjustment during execution. 4) Alignment with front-end teams (BD/SA) to scale the business. 5) collaborate with WW service teams to feedback with findings gained in the field to help product enhancement & iteration. 6) Partner Synergy as either sell to/with/through them.
Sr. Product Marketing Manager( AI/ML) Amazon Web Services , a subsidiary of Amazon.com, is seeking a talented Product Marketing Manager for driving data-driven products in the cloud computing adaption journey with Internet companies, Enterprise, Startups, and Developer communities’ area in China. This is a unique opportunity to play a key role in an exciting, industry-leading technology business. Product marketing is the critical role of acting as the Voice of the Customer to the company, communicating the product value to the market. The inherent business demand of this position is to drive customer engagement, facilitate marketing program along with the product lifecycle. The Product Marketing Manager is a not only technical but also strategic position. The position will be a key driver who can drive the data-driven services adoption of internet companies, traditional Enterprise, Startups, Developer communities’ IT environment. It means the position needs to have the ability to communicate with IT professionals, business executives, developers, IT Ops and data scientist/ data engineers. In addition, the product marketing manager needs deep understanding of cloud computing technologies, particularly database, big data, AI/ML, IoT. Since the pace of innovation of cloud computing is so quick, the person should be willing to catch up with new technologies and use-cases proactively. Role and Responsibilities • Design and Deploy the AWS Generative AI go-to-market(GTM) strategy into marketing programs to accelerate the service adoption • Drive and lead new service launch programs to strengthen AWS thought leadership and technology awareness • Developing marketing tools and campaign assets to attract new prospect and customers to generate product demands and marketing leads • Build and strengthen the influencers’ community to generate businesses in the Enterprise, Startups, and Developer communities. • Work closely with AWS service teams, Service Specialist, PR, and other marketing managers to ensure the AWS message is reaching a broad audience via events, seminars, webinars, and other GTM activities. • Build an effective evangelism content plan to drive awareness, adoption, and usage of the AWS platform. • Co-work with key persons in the appropriate partners to make new IT trend. • Travel, as necessary to execute marketing initiatives.
Key Responsibilities: • Lead the development and implementation of Go-To-Market strategies, including defining and managing programs that support business growth, creating and integrating business development systems and processes, overseeing strategic investments that align with revenue targets, and optimizing processes to meet market expansion goals and drive deal win rate. • Develop relationships and processes with Business Development, marketing, legal, finance, HR, the broader Business Operations organization, and other stakeholders to identify and address GTM program and investment reporting issues. • Identify and address reporting issues, ROI issue, process gaps, and drive timely resolutions. • Prepare ad-hoc analysis and participate in projects as needed. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: • Build high-impact solutions to deliver to our large customer base. • Participate in design discussions, code review, and communicate with internal and external stakeholders. • Work cross-functionally to help drive business decisions with your technical input. • Work in a startup-like development environment, where you’re always working on the most important stuff.
Your Responsibilities As an Operations Manager at Didi ANZ, you will play a pivotal role in driving pricing strategy and enhancing customer experience to ensure sustainable growth and competitive advantage. Your key responsibilities include: Lead Pricing Strategy & Execution : - Own end-to-end pricing decisions, including dynamic price adjustments, surge pricing models, and promotional campaigns. - Conduct deep-dive analytics to evaluate pricing effectiveness, elasticity, and ROI, ensuring alignment with business goals. - Collaborate with BI, Product and other teams to design and implement scalable pricing frameworks. Market & Competitive Analysis : - Monitor market trends, competitor pricing, and regulatory changes to inform strategic adjustments. - Develop segmentation strategies based on city dynamics, user behavior, and demand patterns. Customer Experience and Cross-Functional Collaboration: - Identify core user pain-points and work closely with regional and global teams to craft effective solutions using a wide range of levers. - Present actionable insights and recommendations to senior stakeholders, driving data-backed decisions.
Technical Development & Architecture * Design and implement scalable AI/ML solutions for Compliance use cases * Lead the development of efficient ML models and end‑to‑end data processing pipelines from ingestion to serving. * Build robust, production-grade AI services using Python and modern ML frameworks. * Make and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effective. * Establish and maintain high engineering standards, including testing, monitoring, and documentation. Engineering Leadership * Partner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutions. * Define and evolve the technical architecture for AI-powered features and platforms. * Lead code reviews, enforce best practices, and elevate engineering quality across the team. * Continuously improve AI system performance, reliability, and latency through experimentation and optimization. Technical Collaboration & Operations * Work with cross‑functional partners to understand requirements, refine scope, and prioritize technical work. * Provide technical guidance and mentorship to junior and mid‑level engineers. * Collaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systems. * Implement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows).