Hilton Technology is a global platform-led organization
driving the company’s digital transformation across web, mobile, and emerging
channels. In APACx, we operate with a strong focus on localization, data-driven
decision-making, and increasingly an AI-first approach, leveraging generative
and agentic capabilities to accelerate innovation, enhance guest experiences,
and empower regional teams to build and deliver at speed.
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WHY YOU’LL BE A GREAT FIT
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You have these minimum
qualifications:
class="ortl-align-justify">Bachelor’s
degree in Computer Science, Engineering, Data, Product,
or equivalent
-
style="margin-right: 0.8pt; text-align: justify;">7+ years in digital product, technology,
or data roles -
style="margin-right: 0.8pt; text-align: justify;">Hands-on experience applying agentic AI
in ideating, planning, and delivery contexts
class="ortl-align-justify">Exposure
to or direct involvement in agentic AI or AI assisted workflows that span
multiple steps in the delivery lifecycle
class="ortl-align-justify">Strong data
skills; experience with Amazon Redshift, Adobe Customer Journey Analytics,
SQL
Working knowledge of DBVisualizer or equivalent data exploration
tools
-
style="margin-right: 0.8pt; text-align: justify;">Comfortable operating in environments
where AI generates code, insights, drafts, or execution paths, with human
judgment applied as the final control
class="ortl-align-justify">Comfortable
working across time zones and cultures (Japan, Korea,
USA)
-
style="margin-right: 0.8pt; text-align: justify;">Curious and proactive applying continuous
workflow evolution as AI capabilities mature
style="margin-right: 0.8pt; text-align: justify;">
style="margin-right: 0.8pt; text-align: justify;">
It would be useful if
you have:
class="ortl-align-justify">Language
proficiency in Japanese or Korean
class="ortl-align-justify">OpenClaw
and Hermes experience
WHY YOU’LL
BE A GREAT FIT
You have these minimum qualifications:
style="list-style-type: disc;">
style="margin-right: 0.8pt; text-align: justify;">Bachelor’s degree in Computer Science,
Engineering, Data, Product, or equivalent
class="ortl-align-justify">
7+ years
in digital product, technology, or data roles
class="ortl-align-justify">
Hands-on
experience applying agentic AI in ideating, planning, and delivery
contexts
style="margin-right: 0.8pt; text-align: justify;">Exposure to or direct involvement
in agentic AI or AI assisted workflows that span multiple steps in the delivery
lifecycle
style="margin-right: 0.8pt; text-align: justify;">Strong data skills; experience
with Amazon Redshift, Adobe Customer Journey Analytics,
SQLWorking knowledge of DBVisualizer or equivalent data exploration
tools
style="margin-right: 0.8pt; text-align: justify;">Comfortable operating in environments
where AI generates code, insights, drafts, or execution paths, with human
judgment applied as the final control
class="ortl-align-justify">
Comfortable
working across time zones and cultures (Japan, Korea,
USA)
style="margin-right: 0.8pt; text-align: justify;">Curious and proactive applying continuous
workflow evolution as AI capabilities mature
style="margin-right: 0.8pt; text-align: justify;">
style="margin-right: 0.8pt; text-align: justify;">
It would be useful if
you have:
class="ortl-align-justify">Language
proficiency in Japanese or Korean
class="ortl-align-justify">OpenClaw
and Hermes experience
WHY YOU’LL
BE A GREAT FIT
You have these minimum qualifications:
style="list-style-type: disc;">
style="margin-right: 0.8pt; text-align: justify;">Bachelor’s degree in Computer Science,
Engineering, Data, Product, or equivalent
class="ortl-align-justify">
7+ years
in digital product, technology, or data roles
class="ortl-align-justify">
Hands-on
experience applying agentic AI in ideating, planning, and delivery
contexts
style="margin-right: 0.8pt; text-align: justify;">Exposure to or direct involvement
in agentic AI or AI assisted workflows that span multiple steps in the delivery
lifecycle
style="margin-right: 0.8pt; text-align: justify;">Strong data skills; experience
with Amazon Redshift, Adobe Customer Journey Analytics,
SQLWorking knowledge of DBVisualizer or equivalent data exploration
tools
style="margin-right: 0.8pt; text-align: justify;">Comfortable operating in environments
where AI generates code, insights, drafts, or execution paths, with human
judgment applied as the final control
class="ortl-align-justify">
Comfortable
working across time zones and cultures (Japan, Korea,
USA)
style="margin-right: 0.8pt; text-align: justify;">Curious and proactive applying continuous
workflow evolution as AI capabilities mature
style="margin-right: 0.8pt; text-align: justify;">
style="margin-right: 0.8pt; text-align: justify;">
It would be useful if
you have:
class="ortl-align-justify">Language
proficiency in Japanese or Korean
class="ortl-align-justify">OpenClaw
and Hermes experience
HOW YOU WILL MAKE AN IMPACT
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Your role is critical in advancing Hilton
APACx’s shift toward an AI-first digital product and delivery model, with
a strong emphasis on agentic AI and regional autonomy. You will help enable
teams to move faster by combining product judgment, data fluency,
and AI-assisted execution, especially for Japan, Korea, and India specific
initiatives.What your day-to-day will
be like:
class="ortl-align-justify">Apply generative and agentic AI
to digital product planning and delivery
style="font-size: 10pt;">Actively use AI tools within the software delivery
lifecycle to accelerate ideation, analysis, solution shaping, and handover
preparation, in line with APACx’s AI first SDLC
direction
-
style="margin-bottom: 0.0001pt; margin-right: 0.8pt; margin-top: 0cm;
text-align: justify;">Participate in
and contribute to agentic AI-enabled workflows by developing and iterating
harnesses and loops, where AI is used not only for content generation, but
for task progression, decision support, and multi-step execution across product,
data, and engineering activities
class="ortl-align-justify">Support and scale AI-driven innovation
cycles
class="ortl-align-justify">Contribute use cases, evaluate feasibility, and help operationalise
output from APAC-wide hackathons and workshops, where AI-assisted development
removes traditional engineering bottlenecks and enables regional teams to ship
enhancements independently.
class="ortl-align-justify">Convert business requirements to PRD powered by agent agents, prototypes
with Ai into shippable candidates and work with product, engineering, analytics,
and research partners.
class="ortl-align-justify">Extract and deliver data-backed
insights to guide AI-enabled decisions
style="font-size: 10pt;">Write and validate SQL queries against Amazon Redshift
to support experimentation readouts, localization performance analysis,
and AI-informed product decisions
class="ortl-align-justify">Use
DBVisualizer and similar tools to explore datasets, validate AI-generated
insights, and ensure analytical accuracy before decisions
are taken
-
style="margin-right: 0.8pt; text-align: justify;">AI-ready documentation for end-to-end digital ideation
to delivery
class="ortl-align-justify">Leverage enterprise AI to produce clear Confluence (Epic) and Jira (User
Story) to ensure documentation for all shipped features, capabilities,
and experiences
How you will collaborate
with others:
class="ortl-align-justify">Internal collaboration
style="list-style-type: circle;">-
style="margin-bottom: 0.0001pt; margin-right: 0.8pt; margin-top: 0cm;
text-align: justify;">Work closely with APACx
Digital Product, Engineering, Analytics, and AI leadership to identify where
generative and agentic AI can replace manual workflows and accelerate
delivery
style="font-size: 10pt;">Participate in recurring forums (initiative updates,
analytics reviews, roadmap sessions) where AI-driven capability, not just
feature delivery, is discussed
class="ortl-align-justify">
Cross-regional and global
alignment
class="ortl-align-justify">Collaborate with global partners to align regional AI experimentation
with enterprise guardrails, security, and platform readiness, while still
preserving APACx autonomy
What you will take
ownership of:
class="ortl-align-justify">AI-enabled delivery
outputs
class="ortl-align-justify">Practical use cases and artifacts demonstrate how agentic AI can
be embedded into product discovery, development, and rollout, especially
for regional use cases
class="ortl-align-justify">Data and experimentation
artifacts
class="ortl-align-justify">SQL-backed analyses, experimentation insights, and reporting that guide
both human and AI-assisted decision-making