Logo for Sail Internet

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

Sail Internet

Role overview

Qualifications

  • Master’s degree in Data Science, Business Analytics, or a related field
  • 2 years of industry experience in the ISP sector
  • Technical proficiency in TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, Hive, Tableau, Power BI, Matplotlib, Seaborn, and Python
  • Certification in Deep Learning or Machine Learning

Responsibilities

  • Direct and manage cross-functional teams of data scientists, engineers, and analysts to build scalable data pipelines and architectures
  • Oversee design and implementation of large-scale, cloud-based data infrastructure and ETL pipelines
  • Develop and execute governance frameworks to ensure compliance and ethical use of AI
  • Collaborate with C-suite executives to shape data-driven corporate strategies and identify AI opportunities

About the company

Sail Internet logo

Sail Internet

Internet Service Providers (ISPs)

Internet service provider to Enterprise, Mid-Market, Small Business, and Multi-Dwelling Units (apartment complexes and HOAs) located throughout the San Francisco Bay Area and Silicon Valley. Offering dedicated internet services leveraging Fixed Wireless technologies for last-mile access, from 100 Mbps to Gigabit speeds – as well as point-to-multi-point broadband and Managed WiFi. Ideal for primary Internet or services supporting physical and provider diversity from legacy copper, fiber, or coaxial cable. Advanced, cost-effective network solutions offering symmetrical speeds backed by a Service Level Agreement.

Company details

IndustryInternet Service Providers (ISPs)
Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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]

 

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Chief Technology Officer (CTO) Related jobs

California (USA)Chief Technology Officer (CTO)

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.