Senior Software Engineer - Active Support
Stubhub IncNew York, New York, United StatesPosted 10 April 2026
Job Description
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.
As a
Senior Software Engineer,
you’ll redefine the
post-purchase experience
, building 0 to 1 proactive support flows that reduce customer anxiety and strengthen trust at critical moments. You’ll transform our transactional email and SMS systems by centralizing infrastructure and improving how we communicate with millions of customers. In parallel, you’ll modernize MyAccount
,
a high-traffic, high-impact surface, enabling faster iteration and better experiences across teams.
This role sits at the intersection of
product, platform, and customer experience
. You won’t just optimize existing flows;
you’ll define how customers experience StubHub after purchasing and
building the systems that power it.
About the Active Support Team:
The Active Support team is transforming post-purchase experiences. Our mission is to resolve as many customer issues as possible instantly, without a live agent, while ensuring exceptional service when human support is needed.
Location: Hybrid (3 days in office/2 days remote) – New York, NY
What You'll Do:
Build 0 to 1 features for our AI-powered support experiences, helping customers resolve issues directly within chat
Design step-by-step flows for complex scenarios (orders, replacements, refunds)
Own critical post-purchase experiences at scale
Partner with Product, Design, and AI teams to iterate quickly
Leverage OpenAI, Claude, and internal systems for reliable interactions
Improve performance, scalability, and system reliability
Use data and experimentation to drive continuous improvement
Why You'll Love this Team:
High ownership, high impact
: own critical parts of the customer journey at global scale
0 to 1 problem space at massive scale:
help define how AI transforms customer support
Fast iteration:
ship quickly, learn from real users, and continuously improve
Product-driven collaboration
: work closely with Product and Design with real influence on direction
Modern tech, real challenges:
build with AI, real-time systems, and distributed infrastructure
Meaningful customer impact:
reduce anxiety, build trust, and improve moments that matter
What You Bring:
Product Front-End Craft
Built and shipped high-quality, customer-facing experiences at scale
Drove measurable improvements in key metrics (conversion, engagement, CSAT)
Strong product intuition for post-purchase and trust-critical moments
Experience leveraging and evolving design systems, with a focus on performance and polish
Able to turn ambiguity into simple, intuitive, and well-crafted user experiences
Systems Thinking
Work seamlessly across APIs, backend systems, and real-time data flows
Proven ability to improve latency, reliability, and scalability at scale
Think in systems across frontend, backend, and communications (email/SMS) to deliver cohesive, end-to-end experiences
Impact Mindset
Focused on outcomes, not output
Track record of measurable impact
Experience in metrics-driven, experiment-led environments
Communicate results clearly with data
Tech Stack
We don’t require specific technologies as great engineers can learn what they need quickly
Backend experience with languages like Java, Go, or Python is valued
Experience with modern front-end frameworks (React, React Native, Vue, Angular, Next.js)
Strong UI craft, design systems, and performance mindset
JavaScript and TypeScript are used across the stack; we care more about what you’ve built than the tools you’ ... (truncated, view full listing at source)
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