Technical Program Manager III, Conversational AI, Google Cloud

Key Skills

Technical Recruitment, Aartificial intelligence, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Operations, Planning and organization, Product Management

Job Description

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with ML/AI and differentiation of AI model building.

Preferred qualifications:

• 8 years of experience in a product, developer, operations, or technical consulting roles and a track record of successful positions of increasing responsibility.
• 5 years of experience managing cross-functional or cross-team projects.
• Experience executing product launch and/or go-to-market processes and launch execution.
• Experience managing multiple complex day-to-day workstreams with diverse internal and external stakeholders, and ability to ensure stakeholder alignment across key milestones and deliverables.
• Knowledge of Google Cloud and/or other cloud technologies.
• Proven ability to deal with high ambiguity and work collaboratively with multiple internal/external cross-functional teams.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with developer.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

The Google Cloud Conversational AI team is working on incorporating new AI into the next generation of Contact Center AI solutions and products. This work builds upon an already robust product line and will help enterprise customers enhance their chatbot and virtual agent experiences. Our work is a core part of the Cloud AI and Industry Solutions strategy to enhance our AI products and platforms to meet the demand of the market.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

For United States applicants: The US base salary range for this full-time position is $79,000-$114,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Collaborate with Software Developers, Product Managers, and cross-functional groups to drive software development, and manage technical dependencies across the stack.
• Define, continuously refine, and execute processes for gathering, assessing and prioritizing feature requests and problems requested, as well as define, iterate, and operationalize key metrics that will help us achieve our product goals and allow the team to prioritize efforts. 
• Exercise technical and product judgment to scope programs, manage schedules, and resolve program issues.
• Program manage a collection of technical programs, drive roadmap, and communicates to a complex web of executive stakeholders.
• Drive alignment across teams/organizations to reach consensus on product direction, north-star metrics, developing feasibility, etc.