1

Executive Computational Media Jobs (NOW HIRING)

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

... executive stakeholders * TS/SCI with a polygraph * Bachelor's degree in System Engineering ... Experience with social media sentiment analysis and its application to financial modeling ...

... executive stakeholders * TS/SCI with a polygraph * Bachelor's degree in System Engineering ... Experience with social media sentiment analysis and its application to financial modeling ...

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

... executive stakeholders * TS/SCI with a polygraph * Bachelor's degree in System Engineering ... Experience with social media sentiment analysis and its application to financial modeling ...

... executive stakeholders * TS/SCI with a polygraph * Bachelor's degree in System Engineering ... Experience with social media sentiment analysis and its application to financial modeling ...

Showing results 41-54

Executive Computational Media information

See salary details

$26.5K

$93.6K

$184K

How much do executive computational media jobs pay per year?

As of Aug 8, 2026, the average yearly pay for executive computational media in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What are the typical collaborative relationships for someone in an executive computational media role?

As an Executive in Computational Media, you'll frequently collaborate with cross-disciplinary teams, including software engineers, creative directors, UX/UI designers, and marketing strategists. Your role involves aligning technical innovations with creative vision, ensuring that computational tools and digital experiences meet both user needs and business objectives. Effective communication and leadership are essential, as you'll often mediate between technical and non-technical stakeholders to drive projects forward. This collaborative environment fosters creativity and continuous learning, making adaptability a key asset.

What is the difference between Executive Computational Media vs Computational Media Specialist?

AspectExecutive Computational MediaComputational Media Specialist
CredentialsTypically requires advanced degrees (e.g., Master's or PhD) in media, computer science, or related fieldsBachelor's or master's degree in media, digital arts, or computer science
Work EnvironmentLeadership roles in corporate or agency settings, overseeing projects and teamsHands-on content creation, technical implementation, and media production
Industry UsageUsed in executive and strategic contexts within media and tech industriesCommonly used in production, design, and technical roles within media companies

Executive Computational Media focuses on leadership, strategy, and oversight in media projects, often requiring advanced credentials. In contrast, Computational Media Specialists are involved in technical content creation and media production. Both roles are integral to media industries but differ in scope and responsibilities.

What is an executive in computational media?

An Executive in Computational Media is a senior leader responsible for overseeing the development, strategy, and implementation of digital media projects that blend technology, storytelling, and interactive design. They often manage teams that work on video games, interactive experiences, virtual reality, or other digital content. This role requires a strong understanding of both creative media and technical platforms, as well as leadership skills to guide multidisciplinary teams towards innovation and business objectives.

What are the key skills and qualifications needed to thrive as an executive in computational media?

To thrive as an Executive in Computational Media, you need a deep understanding of digital media technologies, strategic leadership, and project management, often supported by an advanced degree in media, computer science, or a related field. Familiarity with content management systems, data analytics platforms, and digital production tools, as well as knowledge of industry-standard software, is highly valuable. Exceptional communication, creative vision, and the ability to inspire cross-functional teams set standout leaders apart. These skills are crucial for driving innovation, ensuring successful project delivery, and maintaining a competitive edge in the rapidly evolving media landscape.
More about Executive Computational Media jobs
What cities are hiring for Executive Computational Media jobs? Cities with the most Executive Computational Media job openings:
What are the most commonly searched types of Computational Media jobs? The most popular types of Computational Media jobs are:
What states have the most Executive Computational Media jobs? States with the most job openings for Executive Computational Media jobs include:
Infographic showing various Executive Computational Media job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Principal AI Scientist - GTM Tech

Intuit

Mountain View, CA • On-site

$273K - $369K/yr

Full-time

Re-posted 26 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies


Job description

Overview

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.


Responsibilities

  • Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization
  • Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.
  • Weighs ROI considerations of general and tailored capabilities for projects in the team
  • Creates new capabilities that solve critical business problems
  • Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
  • Influences business leaders to shape mission critical projects
  • Creates multi-year vision that connects product strategy with technology strategy
  • Drives architecture decisions, influences and contributes to ML platform architecture and strategy
  • Leads team and partners to the successful delivery and integration of ML solutions
  • Conducts design reviews, holds teams to technical and operational rigor.
  • Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
    Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

  • PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Prior experience / qualifications in Marketing platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you. 
  • Solid knowledge of statistical techniques
  • 3+ years as either a lead in a AI science role or in a management position in AI science
  • Strong communication skills and proven experience as an influencer at the executive level
  • Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization
  • 6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
  • 6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
  • Proven track record of influencing business leaders to shape mission critical projects
  • Proven track record of leading team to successful delivery of ML solutions
  • Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $273,500 - $369,500

What Intuit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom