Technical Product Manager

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

You will be responsible for the end-to-end lifecycle of at least one pillar of the Verizon Digital Twin product. You will cross-functionally oversee and orchestrate a team of Architects, Data Scientists, Data and Machine Learning Engineers, and coordinate with other groups such as Data Governance, Legal and Privacy in order to build a revolutionary AI-centric product that drives significant value for Verizon, both in terms of efficiencies and revenue opportunity.

• Participate in developing the strategy and vision for the Artificial Intelligence and Data group at Verizon and build product roadmap and feature backlogs.
• Plan and implement initiatives that lead to increased user signups, engagement and retention.
• Conduct complex data analysis and market intelligence as it applies to digital twin concepts in a telecommunications environment.
• Define and own key performance metrics relating to adoption, quality, and value realized.
• Drive innovation and set product direction for growth through quantitative data analysis and a deep understanding of customer needs.
• Write clear, concise product specifications for the team to work from.
• Gather and translate market trends and feedback into successful product initiatives and revenue growth.
• Work closely with design, engineering, finance, marketing and executive teams to optimize and improve product features and bring the product to life.
• Lead the ideation, development, and launch of delightful consumer experiences.
• Create buy-in for the product vision internally and with external partners.
• Communicate product benefits to customers, end users, and internal stakeholders.
• Build strong cross-functional partnerships at multiple levels within the company.
• Implement and utilize metrics dashboards for key product and feature decisions

Where you'll work:

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant work experience in a product management role.
• Knowledge of big-data systems, machine learning and/or AI.
• Experience working with data, including extraction, analysis and A/B testing.
• Experience with cross-functional Agile development environments.

Even better if you have one or more of the following:

• A Bachelor’s degree and a Master’s or PhD in Mathematics, Statistics, Computer Science, or comparable experience.
• MBA or similar as an optional advanced/supplemental degree.
• Strategist and a quick, dynamic thinker that can prioritize and solve complex problems in a fast-moving environment.
• Team player and an strong communicator.

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.

COVID-19 Vaccination Requirement

Verizon requires new hires to be fully vaccinated against COVID-19. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical or religious reasons).