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Lead Technical Product Manager – Digital Acquisitions

AT&T

Lead Technical Product Manager – Digital Acquisitions

AT&T

USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St

·

On-site

·

Full-time

·

1w ago

Compensation

$143,800 - $215,800

Benefits & Perks

Healthcare

401(k)

Parental Leave

Learning Budget

Mental Health

Healthcare

401k

Parental Leave

Learning

Mental Health

Required Skills

Product Management

Product Strategy

AI/ML Product Development

Continuous Discovery

Customer Research

OKR Development

Data Analysis

Cross-functional Leadership

Communication

Job Description:

Lead Technical Product Manager – Digital Acquisitions

About the Role We’re seeking an experienced Lead Product Manager to drive strategy, discovery, and delivery for next‑generation digital customer experiences. You’ll own outcomes—not feature lists—and lead continuous discovery to build products customers love. This role operates within an empowered product trio (PM + Design + Engineering) and focuses heavily on AI/ML‑powered solutions that

improve personalization, connectivity, and customer engagement.

You’ll shape product vision, define strategy, and influence teams across the

organization while helping advance modern product practices and an outcomes‑driven culture.

What You’ll Do:

Product Strategy

  • Own end‑to‑end product strategy for a defined digital experience area.
  • Set measurable, outcome‑focused OKRs aligned to business goals.
  • Build and communicate a clear product vision and roadmap.
  • Identify opportunities where AI/ML can unlock differentiated customer value.

Continuous Discovery

  • Lead weekly customer interviews and research with your product trio.
  • Use frameworks like opportunity solution trees to map and prioritize problems.
  • Run assumption tests, prototypes, and experiments before committing to build.
  • Synthesize customer insights, competitive intel, and analytics to guide decisions.

AI/ML Product Development

  • Identify where generative AI, recommendation engines, or predictive models can improve customer experiences.
  • Partner with data science/ML engineering to design, test, and deploy AI features.
  • Define success metrics, quality standards, and responsible AI practices.
  • Navigate ambiguity inherent to ML development, edge cases, and model tradeoffs.

Cross‑Functional Leadership

  • Collaborate closely with engineering, design, data science, marketing, and operations.
  • Influence without authority using customer insights and strategic reasoning.
  • Present strategy, learnings, and results to senior leadership.
  • Guide teams through complex dependencies and stakeholder alignment.

Team & Culture:

  • Champion continuous discovery and customer‑centricity.
  • Model empowered product team behaviors and coach others in modern product thinking.
  • Contribute to a culture that values experimentation, learning, and outcomes over output.

Required Qualifications:

Product Management Expertise

  • 7+ years building digital products; 3+ years in a senior/lead product management role.
  • Proven ability to ship products with measurable customer or business impact.
  • Strong experience owning strategy from discovery → delivery → measurement.
  • Deep understanding of continuous discovery, assumption testing, and OKR‑driven product development.

AI/ML Experience:

  • 1+ years building or shipping AI/ML‑powered features.
  • Partnership experience with data science/ML engineering teams.
  • Understanding of model lifecycle: data, training, evaluation, deployment, monitoring.
  • Experience defining success metrics for AI experiences.

Discovery & Research

  • Hands‑on experience conducting customer interviews regularly.
  • Ability to design experiments, prototypes, and MVPs.
  • Strong synthesis skills across qualitative + quantitative data.

Cross‑Functional Influence

  • Ability to align engineering, design, and business stakeholders.
  • Clear, persuasive verbal and written communication.
  • Experience navigating complex org structures.

Preferred Experience:

  • Telecom, consumer digital services, large‑scale B2C, or enterprise SaaS.
  • Products serving millions of users or using personalization/recommendation systems.
  • Experience with generative AI/LLMs, responsible AI, or intelligent automation.
  • Coaching/mentoring PMs; contributing to product culture transformation.
  • Technical depth: CS/engineering background, ability to read code, familiarity with cloud and modern architectures.

Skills & Attributes:

  • Strategic thinking, critical problem‑solving, and customer empathy.
  • High‑agency, adaptable, and comfortable with ambiguity.
  • Strong experimentation mindset, rigorous decision‑making, and rapid execution.
  • Collaborative communication, conflict navigation, and stakeholder management.
  • Commitment to continuous learning.

Education:

  • Bachelor’s degree in Engineering, Computer Science, Business, Design, or related field.
  • Advanced degrees (MBA, MS CS/HCI/Data Science) are a plus but not required.

Supervisor:

No

Our Lead Tech Product Mgr , earns between $143,800-$215,800 USD Annual, 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 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • 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.

– Full-time office role-

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Ready to join our team? Apply today.

Weekly Hours:

40

Time Type:

Regular

Location:

USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St

Salary Range:

$143,800.00 - $215,800.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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About AT&T

AT&T

AT&T

Public

AT&T Inc., an abbreviation of its predecessor's original name, the American Telephone and Telegraph Company, is an American multinational telecommunications conglomerate headquartered at the Whitacre Tower in Downtown Dallas, Texas.

10,001+

Employees

Dallas

Headquarters

$186.83B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.5

Compensation

4.0

Culture

3.2

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Good pay and compensation

Great benefits

Helpful staff and colleagues

Cons

Poor work-life balance

Management issues and incompetent supervisors

High pressure and unrealistic expectations

Salary Ranges

0 data points

Junior/L3

L3

L4

L5

L6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$106,875

total / year

Base

-

Stock

-

Bonus

-

$90,844

$122,906

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Online Assessment

3

Technical Interview

4

Final Round Behavioral Interview

5

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Data Structures

System Design