Technical Program Manager, Search Intelligence
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Job description
As an SI Technical Program Manager, you will be an E2E owner driving planning and execution. Your cross-functional partners will look to you for strategic thought partnership with a holistic and unbiased Point of View (POV). You will work on the highest priority programs based on business needs including next generation SRP experiences, evolving industry differentiating quality and trust systems, AI/ML modeling, or superhuman AI raters at scale., * Define and manage the program strategy, developing a holistic and unbiased PoV on the program and driving mitigations to deliver on business goals.
- Drive planning and execution of technically complex cross-organization launches that impact billions of users. Including developing and maintaining a plan of record, governance, tracker, risk/mitigation plans, decision log, and comms/escalations.
- Be an E2E owner driving deep cross-functional collaboration, communication, and accountability with a federated team of Software Engineers, Product Managers and cross-functional teams in Search and across K&I.
- Develop and execute on a communication plan to meet the needs of stakeholders which supports decision making and escalations.
- Exercise strong technical judgement and skills to mitigate risks/blockers, run effective meetings, resolve conflicts between stakeholders to accelerate program timelines.
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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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Requirements
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience launching software products that leverage AI/ML models.
- Experience working with AI/ML software development lifecycles., * 8 years of experience managing cross-functional or cross-team projects.
- Experience working on quality evaluation focused programs.
- Experience with projects which involve a significant research and development component in addition to pure execution.
- Experience working with AI/ML Research and Development (R&D) teams.
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