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Executive Tensorflow Jobs in California (NOW HIRING)

Act as the technical authority and executive sponsor on large deals, possessing the credibility to ... PyTorch, JAX, TensorFlow. • Technical Competency: Distributed Computing: Slurm, Ray, Kubernetes ...

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Executive Tensorflow information

What is the difference between Executive Tensorflow vs Data Scientist?

AspectExecutive TensorflowData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in TensorFlowDegree in Computer Science, Data Science, or related fields; certifications in data analysis and machine learning
Work EnvironmentLeadership roles in tech companies, overseeing AI projects, strategic planningHands-on data analysis, model development, data visualization in research or corporate settings
Employer & Industry UsageTech firms, AI startups, large enterprises implementing AI strategiesResearch institutions, tech companies, finance, healthcare, and retail sectors

Executive Tensorflow professionals focus on strategic leadership and overseeing AI initiatives, often requiring advanced degrees and certifications. Data Scientists are more involved in hands-on data analysis and model building. While both roles work with TensorFlow, their responsibilities and work environments differ significantly.

What are the most commonly searched types of Tensorflow jobs in California? The most popular types of Tensorflow jobs in California are:
What cities in California are hiring for Executive Tensorflow jobs? Cities in California with the most Executive Tensorflow job openings:
Infographic showing various Executive Tensorflow job openings in California as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Chief Technology Officer (Data and AI Strategy) (Santa Clara, CA)

Chief Technology Officer (Data and AI Strategy) (Santa Clara, CA)

Sail Internet

Santa Clara, CA • On-site

$276K - $286K/yr

Full-time

Posted 25 days ago


Job description

JOB DESCRIPTION
CHIEF TECHNOLOGY OFFICER (DATA & AI STRATEGY) (Santa Clara, CA)
JOB DUTIES AND RESPONSIBILITIES: Direct and manage cross-functional teams of data scientists, engineers, and analysts, to build scalable data pipelines and architectures by applying advanced statistical methods (regression, time-series forecasting, A/B testing) and leveraging advanced analytics and visualization platforms to drive corporate decision making; and to validate and optimize data driven initiatives that powers customer acquisition, retention, and revenue growth. Oversee design and implementation of large-scale, cloud-based data infrastructure and ETL pipelines to support real-time analytics. Develop and execute governance frameworks to ensure compliance, data privacy, security, ethical use of AI and machine learning and define enterprise-level data engineering AI strategies, solutions, ensuring automation and scalability. Oversee strategic KPIs at the enterprise level to ensure business units are aligned with long-term growth objectives and integration of structured and unstructured data for advanced analytics. Collaborate with C-suite executives to lead high-level initiatives and shape data-driven corporate strategies that drive customer growth and retention while identifying opportunities where data and AI can shape corporate vision, revenue growth, and competitive advantage. Lead the development, deployment, and optimization of advanced ML/AI models (predictive and prescriptive analytics) using TensorFlow, PyTorch, and Scikit-learn to enhance decision-making, solve ISP-specific challenges and maintain a competitive market advantage. Establish policy and enforce enterprise data governance frameworks covering data quality, integrity, security, and compliance; delegating execution to technical teams. Foster a culture of innovation and continuous learning, mentoring leadership teams and ensuring adoption of best practices in data science, AI, and cloud engineering. Represent the organization externally, shaping industry standards and influencing regulatory and policy discussions related to data and technology. Manage budgets, maintain vendor relationships, and resource allocation to maximize organizational impact. Develop and optimize production-grade Python scripts to automate data collection, transformation, and machine learning pipelines and workflow, ensuring ETL scalability, maintainability and streamlining of data. Maintain, update, and validate databases to ensure data integrity, accuracy, and completeness. Provide technical support and resolve data-related inquiries from executive stakeholders.
EDUCATIONAL REQUIREMENTS:
Master's degree in Data Science, Business Analytics, or a related field. 2 years of industry experience in the ISP sector, applying advanced analytics and AI/ML solutions to business critical challenges. Technical proficiency in: TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, Hive, Tableau, Power BI, Matplotlib, Seaborn, and Python (Pandas, NumPy, SciPy). Certification in Deep Learning or Machine Learning. 100% Remote. This is not a telecommuting job.
Wage Range: $276K-$286K
APPLY: Send resume and cover letter to Sail Internet, Inc. HQ in Santa Clara, CA:
Sail Internet, Inc.
305 Laurelwood Rd,
Santa Clara CA 95054
Attn: [email protected]