Build and optimize Xbox growth experiments across services, clients, console, web, and mobile. Develop telemetry and analytics systems, analyze experimentation results, and drive retention and daily active users. Ship secure, reliable full-stack features, participate in on-call rotation, collaborate across teams, and use AI-enhanced workflows to accelerate engineering. Mentor engineers, shape product hypotheses, and own ideas from prototyping through rollout and scaling.
Overview
Responsibilities
Qualifications
Required Qualifications
At XBOX, we have an ambitious goal to reach 1B daily active users by helping more people discover games, connect with others, and play wherever they are. Over the past 25 years, XBOX has built a passionate global community, innovative hardware and services, and some of the world’s most beloved gaming franchises. How people discover, access, and engage with games is changing rapidly, creating new opportunities for Xbox to grow. XBOX Growth helps unlock these opportunities and reach new audiences through a rigorous, data-informed approach. We combine data, analytics, and product experimentation to learn what works and build experiences that attract, engage, and retain users. Our work enables teams across XBOX to turn insights into measurable impact for users and the business.
Join the XBOX Growth's Product team and help build the exemplar of a small engineering team leveraging data informed decision making, agile product engineering, and experimentation. You will sit at the intersection of product design, engineering, and data, crafting experiments that shape how millions of players discover, return to, and stay engaged with XBOX. XBOX is currently resetting its strategy to focus on Core, Content, Creation, and Connection. Growth Product focuses on the Core pillar, through winning on console, delighting players, and giving them reasons to come back and experience the magic of gaming in our ecosystem. This role is about shipping fast, learning through data backed experimentation, iterating on what works and building learning and judgement on what does not. You will work across the whole stack, the whole player journey, and multiple feature areas; no feature area is off limits and this team chooses work based on impact not organizational boundaries. You will accelerate and define data driven development through AI enhanced workflows. You will have measurable business impact by turning learnings into leverage and owning ideas through to execution and scaling.
Responsibilities
Experiment
- Shape the future of the XBOX experience. Propose the hypothesis and product vision, not just the technical implementation. Size the opportunity, define success, and execute.
- Design, ship, and iterate on growth experiments across surfaces, services, and feature areas all to increase Console retention and daily active users
- Design telemetry, metrics, and analytics systems so results can be read without ambiguity, and analyze scorecards objectively. Ship what worked and retire what did not, including your own ideas
- Build comfortability with being wrong often, owning learnings, and fast pivots and iteration
- Provide strong product vision. You will form your own opinions about what is worth building, and you can defend a ranked set of hypotheses with the metric each would move
Engineer
- Build across the stack: service, client, and instrumentation work on console, and possibly even web, mobile, or external surfaces from prototype through general availability
- Make focused, reviewable changes in codebases owned by other teams, and leave their owners glad you were there; make the changes others missed and wished they could have done.
- Participate in the team's live-site and on-call rotation
- Demonstrate an ability to enter a large, unfamiliar codebase, orient quickly, and land substantial technical changes to enable team success.
Enhance
- Significantly accelerate the team through agentic workflows and AI evolution across all facets of the engineering lifecycle.
- Mentor engineers and raise the bar through design reviews, code reviews, and engineering practices
- Exercise judgement on experiments. Decide when to scale, iterate, or abandon
- Build secure, reliable, high-performing systems that meet Microsoft's privacy, compliance, and security requirements
- Exercise creativity and judgement to balance speed and rigor and find cheap tests for expensive questions and ways to prove impact with minimal upfront investment
- Use hypothesis-driven development to measurably move key metrics
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, XAML, Java, JavaScript, TypeScript, or Python OR equivalent experience.
- 2+ years shipping A/B tests end-to-end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails
- Experience in growth engineering, retention, engagement, acquisition, or experimentation-focused teams.
- 4+ years building and shipping full stack features across modern front ends (TypeScript, React, XAML) together with production services (C#, .NET) on cloud infrastructure such as Microsoft Azure
- Demonstrated track record of proposing product ideas that were shipped and measured, and of owning a growth, engagement, retention, or monetization metric across a sequence of experiments
- Experience with cross functional and cross team collaboration including making production changes in codebases owned by other teams, navigating unfamiliar architectures, driving partner review processes, and engaging independently with design, product, and engineering across organizational boundaries
- Experience with large-scale telemetry, metric design, and querying analytics tooling (for example, Kusto, Databricks, or comparable data platforms)
- Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to research, prototype, implement, debug, and iterate on production features
- Experience in shipping consumer products at scale - gaming, entertainment, commerce, or subscription businesses
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Similar Jobs
3 Hours Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manages, investigates, evaluates, negotiates, and resolves attorney-represented auto and homeowners bodily injury claims. Responsibilities include assessing coverage, liability, damages, reserves, fraud referrals, subrogation opportunities, litigation preparation, trial coordination, counsel management, policyholder and claimant communication, financial processing security, and claims-file reporting. Requires knowledge of insurance coverage, legal liability, state tort law, negotiation, investigation, and applicable licensing.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product management for Capital One’s Anti-Money Laundering risk platform. Responsibilities include launching regulatory-compliance features, partnering with data and technology teams, using AI tools for product discovery and delivery, developing the product roadmap, and driving a multi-year enterprise risk management transformation. The role requires cross-functional leadership, customer-focused product development, business and technology strategy, integrated problem-solving, and risk mitigation.
Top Skills:
Anti-Money Laundering (Aml)Artificial Intelligence (Ai)
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Provide assistant controller-level outsourced accounting support for healthcare clients: manage financial reporting, general ledger accuracy, month-end close, prepare reporting packages and KPIs, maintain procedures, review balance sheets and workpapers, coordinate projects, and supervise/account for assigned accountants to meet client needs and budgets.
Top Skills:
Accounting SoftwareMicrosoft Office Suite
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
