Sr. Go-To-Market Specialist, Data, AWS, WWSO Data APJC
Amazon is hiring a Sr. Go-To-Market Specialist, Data, AWS, WWSO Data APJC in Singapore, Singapore. Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions AWS, Data Warehousing and go to market among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Drive AWS data go-to-market strategies helping customers run agentic and AI workloads in production.
This role owns the AWS data go-to-market across ASEAN with a primary focus on helping customers run agentic and AI workloads in production, working hand-in-hand with the AI team to turn AI pilots into production reality. Data is the context layer that turns generic AI into personalised, differentiated outcomes; every AI conversation is a data conversation, and this role sits at the centre of it. To run these workloads in production, customers need the right context layer with the right level of governance, which means getting the metadata right. It is truly about getting the right data to the right people and agents at the right time. That starts with strong foundations, helping customers build and modernise the underlying data estate (the data stores, pipelines, and data engineering) that the context layer is built on and doing it in a way that makes it simple for customers, removing complexity rather than adding it. You will span AWS's storage, analytics, and database portfolio, partnering with the AI team, account teams, and partners on some of ASEAN's largest customers and most strategic deals. You will also be the voice of ASEAN back to the service teams, carrying the needs of ASEAN customers to our data service teams to help reshape our service and roadmap strategy.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS) and acts as the force multiplier for AWS. We are the deep domain experts, in this case, in data — who are brought in to support customers and our sales teams when they need to unblock or accelerate a customer. We work backwards from our customers' most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire lifecycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Key job responsibilities
- Own the GTM strategy and execution for AWS Data (storage, analytics, database) across ASEAN, across all segments.
- Get customers ready to run agentic and AI workloads in production — partner with the AI team to build the context layer, governance, and metadata that gets the right data to the right people and agents at the right time.
- Help customers build and modernise the foundational data estate — data stores, pipelines, and data engineering beneath the context layer — making it easy by removing complexity.
- Serve as the ASEAN point of contact for all data motions — the connective tissue between the AI team, Specialists, Specialist SAs, Partners, and the area teams carrying data quota.
- Lead engagement on ASEAN's largest and most strategic deals with the AI team, account, commercial/deal, and partner teams, and design Scale Sales Motions using Field teams, partner channels, and funding levers to unblock deals.
- Be the voice of ASEAN to the data service teams — feed customer needs, adoption signals, and competitive gaps back to product leadership to reshape roadmap strategy.
- Engage at CxO/VP level and with developers and architects to build pipeline, secure lighthouse customers, drive revenue, and host executive briefings and workshops.
A day in the life
You are the person the field, partners, and customers come to for anything data in ASEAN. One day you're with the AI team in a CxO briefing making the case for the governed data foundation a customer needs to move an agentic workload into production; the next you're helping an account team stand up the right metadata and governance so agents can access the right data safely, unblocking a stalled deal with the right partner funding lever, or feeding ASEAN customer signal back to the service teams to shape the roadmap. You operate across the ASEAN areas and every segment, building the strategy and executing it, measuring success by the collective growth of the ASEAN data business.
About the team
The WWSO Data & AI team helps customers adopt our newest and most advantageous technologies. We are technology specialists. This role sits on the ASEAN Data GTM team, working as an integrated unit with the AI team, account teams, Specialist SAs, and partner teams to drive data adoption across ASEAN. We believe in a collaborative working model where BD, Sales Specialists, and Specialist SAs operate in concert, each bringing unique strengths to deliver customer outcomes. We value individuals who are not only strong strategists but also effective communicators who can bridge the gap between local market needs and global organizational priorities. If you thrive where you build the strategy AND execute it, where you influence across organizational boundaries, and where you measure success by the collective growth of the team, this is the role for you.
Basic qualifications
- 7+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals
- 5+ years of technology domain experience across data, analytics, data platform, storage, and/or database and large-scale data workloads.
- Experience helping customers build the foundational data estate for AI/ML, data stores, data pipelines/engineering, data readiness, governance, and metadata/cataloguing and getting data accessible to applications and agents.
Preferred qualifications
- Experience identifying, negotiating, and executing complex legal agreements
- Experience with C-level sales and strategic partnership building
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience with presentations and speaking with executives, IT, management, and developers
- Experience leading and influencing cross-functional sales teams
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
- Experience owning end-to-end GTM strategy for a technology domain across multiple geographies and segments.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Sr. Go-To-Market Specialist, Data, AWS, WWSO Data APJC at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where sales was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where ai workloads was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Go To Market, Sales, Data Engineering, AI Workloads, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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