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Skills:

Sales, Cloud Computing, Negotiation

Job type:

Full-time

• Drive new business opportunities by identifying and qualifying prospects' cloud transformation needs, focusing on understanding customer business challenges and growth objectives.
• Present cloud solutions and services to customers, effectively articulating business value propositions and building trusted relationships with key stakeholders.
• Develop compelling solution proposals and cost-benefit analyses, demonstrating how cloud solutions can solve business problems and deliver measurable ROI.
• Support the complete sales cycle from prospect qualification through deal closure, including solution scoping, pricing strategy, and commercial negotiations.
• Maintain practical knowledge of major cloud platforms (AWS, Azure, or GCP) to effectively discuss platform capabilities and match solutions to customer needs.
• Create and deliver engaging customer presentations and demonstrations that translate cloud capabilities into business outcomes.
• Collaborate with technical implementation teams to ensure proposed solutions are viable and can be delivered successfully.
• Keep up to date with cloud market trends, competitor offerings, and emerging cloud services to provide strategic guidance to customers.
• Develop and maintain relationships with cloud providers and internal teams to create effective solutions and ensure customer success.
• Basic understanding of cloud concepts (infrastructure, security, pricing models) to support solution discussions and address fundamental customer concerns.
• Minimum of 2 years of experience in a technical field or technical sale, with a focus on Cloud computing.
• A Cloud Computing and Cloud Security certifications such as AWS, Azure, and GCP will be given special consideration.
• Working knowledge of Landing Zone design principles.
• Strong communication and negotiation skills and strong understanding of multi-Cloud architecture and concepts.
• Solution Consultant (Technology Specialist/Enterprise Architect).
• Role & Responsibility.
• Own and Lead Cross-Architecture Solution Architecture and Consultative selling conversation.
• Establish Customer Future State Architecture Roadmap to meet growth target matching with customer business objective.
• To act as technology thought leadership to lead customer engagement and develop customer demand in expertise domain.
• Design, build and lead customer solution offerings mapping to customer business objective.
• Ability to understand, translate and commercially explain the differentiated benefits, based on a reasonably detailed knowledge of the technical advantages of a proposed solutions.
• Ability to integrate the new technologies eg. 5G, Cloud.to expand the business.
• Ability to multitask and ensure that all key priorities are delivered as per agreed timelines.
• Strong stakeholder engagement skills, and ability to interact at all levels across an organization.
• Excellent executive communication, with ability to present to CxOs and senior leadership Requirements.
• Collaborate with Sales/Presale, Own and provide the customer solution investment cost, technical solution architecture document to respond customer TOR/proposals.
• Co-Responsible in driving Enterprise Business Growth by xx % and target to increase yy win cross architecture deals.
• Deep understanding of cross-architecture solutions, particularly in emerging technologies like 5G, Cloud, and other relevant fields.
• Strong knowledge of designing, building, and leading customer solutions that align with business objectives and technology innovations.
• Ability to evaluate and integrate new technologies into existing architectures to expand business potential.
• Proven experience in consultative selling, particularly in technology and solution-focused sales, with a track record of leading customer conversations to determine business needs and technology fit.
• Excellent communication skills with a focus on translating complex technical details into business language that resonates with customers and stakeholders.
• Strong stakeholder management skills, including the ability to interact effectively with senior leadership and CxOs.
• Experience in developing and presenting future-state architecture roadmaps, aligned with customer growth targets and business objectives.
• Service Account Management.
• Role & Responsibility.
• Single point of contact (SPOC) on Operations matters.
• Oversee day-to-day fault management for Critical or Escalated incident.
• Provide regular updates and ensure timely fault resolution for Critical or Escalated incident following by SLA commitment to corporate customer.
• Overseeing the entire planned maintenance cycle for customer s critical services.
• Provide data information that customer needed with in SLA.
• Built more relationship with enterprise customer & provide the best customer experience for the best customer satisfaction.
• Previous meeting minutes.
• Present monthly network availability report.
• Summary of Incidents.
• Develop improvement plan for prolong outages, found no fault, repeated fault, chronic problem, etc.
• Update or review any improvement plan.
• Response VOC and coordinate relate team to improve our service.
• Investigate and find out the root cause for chronic problem of enterprise Customer and consult with related team to find out the solution of that problem.
• On site for problem troubleshooting of all Enterprise product such as Corporate Fixed line, Cloud, SD WAN, Firewall, Bulk SMS, M2M, EDS (MPLS & IPLC), Radio Quality etc.
• Analysis data for SKA Customer to reduce and improvement for better Availability, MTTR and Fault rate of each service such as EDS M2M Bulk SMS E1 etc.
• In deep analysis for some SKA customer that have different trend of fault rate, availability and MTTR.
• Coordinate with related team to set action plan and target to improve our service.
• Find out the root cause and clarify internal process to improve our service especially in aftersales service areas.

Experience:

8 years required

Skills:

Sales, Financial Analysis, Python

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience with programming languages such as Python or R for data analysis and modeling.
• Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field.
• Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning).
• Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference.
• Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API).
• Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders.
• Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
• As a Marketing Mix Modeling (MMM) Specialist at Google, you will play a pivotal role in empowering our clients to optimize their marketing investments through advanced statistical modeling and data-driven insights. You will be a trusted advisor, guiding clients through complex MMM analyses, translating technical findings into business strategies, and influencing executive-level decision-making. You will be responsible for driving the adoption of measurement methodologies and fostering a culture of data-driven marketing within Google and our client ecosystem.
• Our Large Customer Sales teams partner closely with many of the world s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
• Lead Marketing Mix Modeling (MMM) Modeling and Analysis by consulting on MMM models using Python, R, or other statistical tools. Conduct analysis of marketing data to identify key drivers of performance and provide recommendations. Guide customers through modelling discussions, explaining statistical concepts to both technical and non-technical audiences.
• Serve as a consultant to clients, advising on measurement strategies and best practices. Build and maintain relationships with key stakeholders, including marketing executives and agency partners.
• Collaborate with sales, product, and customers teams to drive momentum on MMM conversations and unblock where needed. Partner with cross-functional teams to develop and implement new measurement methodologies and tools.
• Identify opportunities to improve Google's MMM capabilities and drive innovation in the field. Advocate for the adoption of advanced measurement techniques within the industry.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.