Technical Program Manager III, Analytics, Google Beam
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience with SQL and data warehousing.
- Experience with the software development lifecycle.
- Experience with statistical tools (e.g., R, Python).
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience working on 0-1, first of a kind, or start-up focused initiatives.
- Ability to work independently in an unstructured environment; comfortable navigating ambiguity.
- Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
- Strong communication and presentation skills to deliver findings of analysis.
- Strong technical writing skills and proven ability to effectively communicate complex analysis.
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 engineers.
As Data Analytics and Infrastructure Technical Program Manager, you will drive clarity, accountability, and metric stewardship for Beam as we launch our 0-1 product. Embedded within our Telemetry and Infrastructure engineering teams, you’ll define and scale the organization's success metrics, building robust dashboards that translate complex, large-scale datasets into actionable insights for leadership and cross-functional partners.
You will act as the critical bridge across multiple technical domains—partnering with engineering telemetry to ensure compliant, privacy-centric data capture, and collaborating with Labs and Cloud teams to strategically manage GPU and CPU capacity for ML/AI models.
Thriving in unstructured, ambiguous environments, you will bring a strong mix of business acumen and technical depth. You are a natural orchestrator who can rally various stakeholders to align cross-functional delivery with strict regulatory compliance and critical infrastructure schedules.
Google Beam is a true-to-life new communication technology from Google that allows people to feel like they’re having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today’s leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build and maintain scalable dashboards and reporting to monitor the success of our product, customers, and features. Communicate progress against goals to leadership, and both technical and non-technical audiences.
- Partner closely with our engineering telemetry infrastructure team to ensure key data is captured and stored in manners that meet product, business, and privacy/regulatory needs.
- Partner with Labs and Cloud teams to ensure Beam’s serving needs are met; managing GPU capacity requests for serving and ML/AI model training.
- Ensure Beam meets Compliance and Privacy standards, stewarding cross-product area processes and audits, and managing on-team deliverables.
- Drive clarity and accountability to ensure the highest priority work is delivered on schedule, embedded within Telemetry and Networking engineering teams.
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