Technical Program Manager III, Machine Learning Data Operations, Google Beam
- linkCopy link
- emailEmail a friend
- 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 (statutory, where applicable); 5 days/event (discretionary)
- 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 in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in training data for ML models (e.g., handling, managing, and coordinating training data).
- Experience with the full machine learning (ML) model life-cycle, including development, deployment, and monitoring.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience with video and audio capture, including selecting and debugging cameras, lenses, microphones, and sensors to ensure high-quality data.
- Experience in managing external partners and vendors.
- Experience analyzing data from video and audio sources to create digital visual representations.
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 a Data Operations Technical Program Manager for Google Beam, you will lead the data acquisition operations that power our machine learning models and computer vision algorithms. You will be responsible for innovating, operationalizing, and scaling our data capture processes and ensuring our algorithms are trained on high-fidelity visual and audio inputs. In this role, you will bridge the physical and digital worlds by managing captures and collaborating with cross-functional teams to build ML and algorithmic solutions for new products.
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.Responsibilities
- Identify process bottlenecks in the data pipeline, implement automation or tooling to drive improvements, identify key data collection gaps, and establish mechanisms to maintain a high quality model output.
- Align synthetic and real-world data collection roadmaps between Google organizations to enable deeper technical and product collaboration.
- Drive the data acquisition plan of record, aligning vendor capacity with engineering milestones and product launch cycles.
- Develop creative solutions for complex logistical challenges in unique, remote, or constraint-heavy environments.
- Partner with Engineering to design and iterate on data collection hardware rigs, providing feedback from the field to improve device ergonomics and reliability.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.