Lead end-to-end product lifecycle management for data products, from concept and prototyping through launch, optimization, and end-of-life.
Define and execute a data -driven product strategy and roadmap with built-in instrumentation, telemetry, and insights to support continuous learning.
Develop and present comprehensive business cases, manage budgets, and oversee capital funding requests to support product investments.
Translate customer, business, and technical requirements into clear product designs, user stories, and acceptance criteria.
Conduct market research and competitive analysis to identify trends, customer segments, and revenue opportunities.
Collaborate with data science, engineering, UX, marketing, pricing, legal, and external partners to deliver high-quality, scalable AI- and ML-enabled products.
Requirements
Expertise in product management for data-driven products, analytics platforms, or AI/ML-enabled solutions.
Strong understanding of data instrumentation, telemetry, experimentation, and learning-loop design.
Experience building and managing product roadmaps, business cases, and P&L for complex products.
Proven ability to apply market research and competitive analysis to product strategy decisions.
Experience working closely with data science and engineering teams to prototype and scale products.
Ability to collaborate effectively across cross-functional and external partner ecosystems.
Bachelor's degree (BS/BA) or advanced degree desired.
10+ years of related experience in product management, data products, or technology leadership roles.
Recognized expertise in driving product strategy, resolving complex design issues, and influencing long-term outcomes.
Proven ability to operate autonomously while engaging senior leaders as a strategic advisor.
Experience serving as a visible representative or spokesperson for products or technology initiatives.
Background working in large, complex, or highly scaled environments preferred.
Supervisor: No
Our AVP - Product Management & Develop ment earns between $205,100 - $307,700 a nnual ly . Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise , and education/training.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays)
Long Term Grants and Deferred Compensation
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Ready to join our team ? Apply today
#LI-Onsite - Full-time office role
Weekly Hours:
40
Time Type:
Regular
Location:
Palo Alto, California, San Ramon, California
Salary Range:
$205,100.00 - $307,700.00
Benefits
Dental insuranceVision insurance401(k)Paid time offParental leave
Additional Information
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted .
AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.
Introduction
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Our Product teams shape innovative solutions that serve customers and transform lives through data, technology, and impactful connections. Join a team where your vision and leadership will help build intelligent, data-driven products that continuously learn and deliver increasing value at scale.
Job overview
In this role, you will drive the development, execution, and lifecycle management of data-focused product portfolios that serve residential, business, and global customers. You will define product strategy and roadmaps with instrumentation, telemetry, and insights built in, enabling learning loops that leverage AI and machine learning to continuously improve performance. You'll own business cases and P&L accountability while partnering across technology, data science, UX, and business teams to bring intelli gent products to market.