Dublin•Posted: Jul 17•Deadline: Aug 16
Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI
era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a
pivotal moment of change. Read more about the combined company by visiting our blog.
About Udemy
Udemy is an AI-powered skills acceleration platform transforming how companies and individuals across the world build the
capabilities needed to thrive in a rapidly evolving workplace. By combining on-demand, multi-language content with real-time
innovation, Udemy delivers personalized experiences that empower organizations to scale workforce development and help individuals
build the technical, business, and soft skills most relevant to their careers. Today, thousands of companies, including Samsung
SDS America, On24, Tata Consultancy Services, The World Bank, and Volkswagen, rely on Udemy Business for its enterprise solutions
to build agile, future-ready teams. Udemy is headquartered in San Francisco, with hubs across the United States, Australia, India,
Ireland, Mexico, and Türkiye. Udemy recently combined with Coursera to create one of the world’s most comprehensive skills
development platforms.
ABOUT THIS ROLE
As a key member of Udemy's Enterprise design leadership team, you will lead product design across our Enterprise business —
spanning both the Coursera and Udemy platforms. Reporting to the Head of Enterprise Design, you'll set design vision and direction
for how organizations equip their people with in-demand skills, building and coaching a team of product designers along the way.
This is a people-leadership role first: you'll spend most of your time growing designers, shaping team culture, and connecting
design work to business outcomes. But you're also expected to be a credible practitioner — able to jump into Figma yourself,
prototype with AI tools, and set a concrete design bar when a project needs it, especially for early-stage vision work.
WHAT YOU'LL DO
* Lead and coach a team of product designers across our Enterprise business, covering the full arc from acquisition and
onboarding through admin tooling, learning programs, analytics, billing/retention, and partner-driven growth.
* Build strong working relationships with cross-functional partners in product and engineering, acting as a strategic partner who
helps shape roadmap and priorities — not just executes against them.
* Use business context and user insight to spot opportunities for design-led innovation and connect work across multiple teams.
* Coach and develop your team: create opportunities for designers to lead initiatives, give direct and honest feedback, and
manage performance with clarity and care.
* Shape team culture: build a collaborative, motivated team with a clear sense of purpose tied to our mission.
* Plan for the team's growth: recruit, organize, and deploy talent to match business needs, and identify future leaders within
the team.
* Elevate craft quality by bringing in strong examples from peer teams and the industry, and by giving direct, actionable
critique.
* Stay hands-on where it counts: personally prototype and visualize concepts — using modern design and AI tools — especially in
early vision-setting work, so the team has a concrete bar to build toward.
* Translate design initiatives into quantifiable business value, and contribute to your team's success metrics.
* Balance business value, quality, and effort across multiple workstreams, keeping a bias toward action while tracking key
metrics.
WHAT YOU'LL BRING
* 8+ years of experience in product design, with 3+ years leading and managing design teams.
* Experience designing enterprise or B2B products at scale — admin/back-office tooling, business dashboards, or platforms serving
large organizations.
* A track record of using AI tools as part of your own design and prototyping process, and of helping your team do the same.
* Strong craft fundamentals: you can still open Figma and produce high-quality, detailed design work yourself when a project
calls for it.
* Demonstrated ability to translate ambiguous, cross-functional problems into a clear design vision and roadmap.
* Experience partnering with research to build a deep understanding of enterprise customer needs.
* A portfolio that shows both your own design craft and your impact as a design leader — team outcomes, business results, and
org-building.
ABOUT YOUR SKILLS
* Leadership — You lead with humility and clarity, building an environment where designers feel supported, heard, and proud of
their work, while modeling strong craft yourself when it matters.
* Collaboration — You partner effectively with cross-functional peers, proactively communicating progress, trade-offs, and risk,
and represent your team with integrity.
* Growth Mindset — You value continuous improvement for yourself, your team, and your processes, and create space for feedback,
experimentation, and celebrating progress.
* Execution — You translate high-level objectives into a clear roadmap, prioritize effectively, manage complexity, and remove
blockers so your team can execute with confidence.
* Business Acumen — You connect design investment to business and user value, and use data to demonstrate design's impact on the
metrics that matter to your team's area.
LOCATION
Dublin, Ireland. Udemy offers flexible work arrangements — this is a hybrid role. You'll lead designers based in Dublin and India,
and collaborate closely with colleagues based in North America.
Posting Date: 17 July 2026
We anticipate the application window will be open until 31 August 2026. Based on business needs, this opportunity may remain
posted beyond or closed before the anticipated application window.
#LI-ST5
WHY WORK HERE?
You’ll grow here.
Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend
on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
AI is real here.
We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using
AI in practical ways.
You’ll own your work.
We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have
an impact.
You’ll build with others.
We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
You’ll see your impact.
What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not
use it to help others gain theirs?
Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.
OUR BENEFITS START WITH U
Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to
access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia
Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits, pages to get an understanding of some
of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring
process.
Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification.
All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex,
national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran
status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also
realize that everyone has unique experiences that can add value to our company. Even if you think your background might not
perfectly align, we'd love to hear from you!
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email
addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications
directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity
Submission Form.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Poland•Posted: Jul 6•Deadline: Aug 16
About Tripadvisor
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is
our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively
revolutionize travel and together find the good out there.
Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business,
Viator, is a fast-evolving and highly data-driven part of the organisation.
At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making,
and drive measurable business impact.
About the role:
As a Senior Manager, Product Data Science & Experimentation you will own the health, velocity, quality, governance, and
organisational maturity of experimentation across Viator and Tripadvisor, while providing strong technical leadership from within
the Product Data Science function.
What You’ll Do
You will be responsible for ensuring experimentation is designed, executed, and interpreted in a consistent, high-quality way
across the organisation, while driving continuous improvement in velocity, adoption, and organisational capability.
* Own the end-to-end experimentation operating system, including governance, standards, lifecycle, and quality controls across
all experiments.
* Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical
validity, and metadata completeness.
* Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or
untested areas.
* Establish a single source of truth for experimentation health, ensuring leadership can reliably understand what is being
tested, where, and with what outcomes.
* Partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align on priorities, resolve
system-level issues, and improve experimentation execution.
* Identify and eliminate systemic failure modes in experimentation design and execution, preventing recurring issues rather than
repeatedly fixing them downstream.
* Reduce reliance on central experimentation support by improving upstream experiment design quality and embedding correct
behaviours into product teams.
* Own experimentation literacy across the organisation, ensuring teams understand how to design, run, and interpret experiments
correctly as part of normal product development.
* Design and scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on
reactive support or ad hoc guidance.
* Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making
and organisational learning.
* Act as an escalation point for experimentation system health, ensuring issues are resolved quickly and do not persist across
cycles.
Skills & Experience
* Experience: Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline,
with a proven track record of improving experimentation systems, governance, or decision-making quality in a product-led
organisation.
* Technical Expertise: Strong proficiency in SQL and Python, with deep understanding of A/B testing, statistical experimentation,
causal inference, and applied experimentation frameworks.
* Systems Thinking: Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems, including
governance, tooling, processes, and organisational behaviour.
* Product Acumen: Strong understanding of product development and decision-making, with ability to influence prioritisation and
roadmap decisions through experimentation insight.
* Strategic Influence: Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations
without direct authority.
* Scaling Impact: Experience improving experimentation velocity, quality, and adoption through structural interventions such as
frameworks, automation, or system redesign.
* Critical Thinking: Strong ability to evaluate experiment design, statistical validity, and interpretation of results, and to
improve the thinking of others.
* Leadership: Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple
teams.
* Communication: Exceptional ability to communicate experimentation concepts clearly and confidently to technical and
non-technical audiences.
You could be an especially great fit if you have:
* Experience improving experimentation systems, governance, or operating models at scale rather than only running or analysing
experiments.
* Experience driving experimentation adoption across multiple product teams, domains, or brands.
* Experience building experimentation frameworks, standards, or guardrails that improve quality and consistency.
* Experience reducing organisational dependency on central experimentation or data science teams through better system design and
self-service enablement.
* Experience working in high-scale product environments such as marketplaces, e-commerce, or travel platforms.
* Experience working in SaaS experimentation tools such as Statsig, Eppo, Growthbook and others
* A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments.
#LI-Remote
#LI-SM1
London•Posted: Jul 6•Deadline: Aug 16
About Tripadvisor
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is
our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively
revolutionize travel and together find the good out there.
Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business,
Viator, is a fast-evolving and highly data-driven part of the organisation.
At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making,
and drive measurable business impact.
About the role:
As a Senior Manager, Product Data Science & Experimentation you will own the health, velocity, quality, governance, and
organisational maturity of experimentation across Viator and Tripadvisor, while providing strong technical leadership from within
the Product Data Science function.
What You’ll Do
You will be responsible for ensuring experimentation is designed, executed, and interpreted in a consistent, high-quality way
across the organisation, while driving continuous improvement in velocity, adoption, and organisational capability.
* Own the end-to-end experimentation operating system, including governance, standards, lifecycle, and quality controls across
all experiments.
* Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical
validity, and metadata completeness.
* Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or
untested areas.
* Establish a single source of truth for experimentation health, ensuring leadership can reliably understand what is being
tested, where, and with what outcomes.
* Partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align on priorities, resolve
system-level issues, and improve experimentation execution.
* Identify and eliminate systemic failure modes in experimentation design and execution, preventing recurring issues rather than
repeatedly fixing them downstream.
* Reduce reliance on central experimentation support by improving upstream experiment design quality and embedding correct
behaviours into product teams.
* Own experimentation literacy across the organisation, ensuring teams understand how to design, run, and interpret experiments
correctly as part of normal product development.
* Design and scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on
reactive support or ad hoc guidance.
* Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making
and organisational learning.
* Act as an escalation point for experimentation system health, ensuring issues are resolved quickly and do not persist across
cycles.
Skills & Experience
* Experience: Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline,
with a proven track record of improving experimentation systems, governance, or decision-making quality in a product-led
organisation.
* Technical Expertise: Strong proficiency in SQL and Python, with deep understanding of A/B testing, statistical experimentation,
causal inference, and applied experimentation frameworks.
* Systems Thinking: Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems, including
governance, tooling, processes, and organisational behaviour.
* Product Acumen: Strong understanding of product development and decision-making, with ability to influence prioritisation and
roadmap decisions through experimentation insight.
* Strategic Influence: Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations
without direct authority.
* Scaling Impact: Experience improving experimentation velocity, quality, and adoption through structural interventions such as
frameworks, automation, or system redesign.
* Critical Thinking: Strong ability to evaluate experiment design, statistical validity, and interpretation of results, and to
improve the thinking of others.
* Leadership: Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple
teams.
* Communication: Exceptional ability to communicate experimentation concepts clearly and confidently to technical and
non-technical audiences.
You could be an especially great fit if you have:
* Experience improving experimentation systems, governance, or operating models at scale rather than only running or analysing
experiments.
* Experience driving experimentation adoption across multiple product teams, domains, or brands.
* Experience building experimentation frameworks, standards, or guardrails that improve quality and consistency.
* Experience reducing organisational dependency on central experimentation or data science teams through better system design and
self-service enablement.
* Experience working in high-scale product environments such as marketplaces, e-commerce, or travel platforms.
* Experience working in SaaS experimentation tools such as Statsig, Eppo, Growthbook and others
* A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments.
#LI-Remote
#LI-SM1
