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Senior Engineering Manager, Applied Innovation Factory, OCTO

Senior Engineering Manager, Applied Innovation Factory, OCTO

GoogleNew York, NY, US
9 days ago
Job type
  • Full-time
Job description

Senior Engineering Manager, Applied Innovation Factory, OCTO

The Office of the CTO (OCTO) is a team of experienced engineers, sponsored by the Cloud CTO and CEO, whose mission is to foster market-disrupting collaborative innovation between Google and the world's most ambitious organizations. We believe small, empowered teams create market-defining breakthroughs. Within OCTO, the Applied Innovation Factory (AIF) is an entrepreneurial incubation program spurring Cloud and AI innovation through collaborative experimentation.

We partner with engineering teams and key customers to build technology that pushes real-world boundaries, turning early proof points into scaled products. Successes include bringing generative AI to drive-throughs, improving Cloud Code assist, and illustrating climate change risks using geospatial technologies.

As the Senior Engineering Manager for OCTO Alternative Investment Fund (AIF), you will build and lead a team of Software Engineers exploring transformative market opportunities. You will collaborate with OCTO's leaders, Google Product / Engineering teams, and strategic customers to create the future of Google, focusing on high-impact growth. You will bring an entrepreneurial spirit, taking loosely formed ideas into actionable insights and concrete outputs. Your leadership is marked by curiosity, and you must be eager to write code and collaborate directly with the team.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Minimum Qualifications :

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 5 years of experience in a people management or team leadership role.
  • 5 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML).

Preferred Qualifications :

  • Master's degree or PhD in Computer Science, Electrical Engineering, or a related technical field.
  • Knowledge of Cloud or AI (builder, code and design savvy).
  • Ability to be comfortable with ambiguity, and possess a proactive, entrepreneurial spirit to drive new initiatives forward.
  • Ability to collaborate with Principal, Software Engineers, Team Leads and Director-level engineering leaders.
  • Excellent problem-solving and decision-making skills.
  • Excellent people management and communication skills.
  • Responsibilities :

  • Lead OCTO's AIF Americas pod (~10) collaborates with OCTO's Technical Leaders and other cross functional partners.
  • Leverage your deep technical expertise to help identify and refine promising projects across a rich variety of highly complex AI problems.
  • Bring your entrepreneurial spirit and passion for addressing ambiguous and ambitious projects in a scrappy 0 to 1 environment, driving focus on speed to learnings and prioritizing rapid experimentation.
  • Collaborate to define and continuously refine concrete experiments, proactively identify and unblock the team when necessary and contribute directly in the project execution.
  • Navigate complex organizational challenges working across products and engineering in Google Cloud, Google DeepMind and other Google teams. Build a collaborative and effective team coaching and mentoring the team on experimental thinking, challenging their assumptions, structuring communication for successful transitions and career development.
  • 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.

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