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Editor In Chief Jobs in Decatur, GA (NOW HIRING)

We are looking for an in-house Videographer and video editor to join our team. Our ideal candidate ... Be able to create and maintain budgets with CFO * Perform other duties as assigned. Including but ...

We are looking for an in-house Videographer and video editor to join our team. Our ideal candidate ... Be able to create and maintain budgets with CFO * Perform other duties as assigned. Including but ...

We are looking for an in-house Videographer and video editor to join our team. Our ideal candidate ... Be able to create and maintain budgets with CFO * Perform other duties as assigned. Including but ...

The Role: What You'll Do Reporting to the Chief Videojournalist, you will bring high visual ... Skilled in news videography and editing under daily, high-stakes deadline pressure. * Tool ...

New

... editors, and external vendors, as well as PYA's Chief Marketing Officer (CMO) to ensure quality standards are met and work products exceed expectations QUALIFICATIONS * 2+ years of experience in ...

Showing results 21-40

Editor In Chief information

See Decatur, GA salary details

$45.9K

$107.3K

$168.4K

How much do editor in chief jobs pay per year?

As of Jul 24, 2026, the average yearly pay for editor in chief in Decatur, GA is $107,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $138,600.00 per year, depending on experience, location, and employer.

What is the job of editor-in-chief?

An editor-in-chief is responsible for overseeing the editorial content and direction of a publication or media organization. They manage editorial staff, make final decisions on content, and ensure that the publication maintains quality and aligns with its goals. Strong leadership, editorial judgment, and knowledge of publishing tools are essential for this role.

What are the key skills and qualifications needed to thrive as an Editor In Chief, and why are they important?

To thrive as an Editor In Chief, you need strong editorial judgment, leadership abilities, and a proven background in journalism or publishing, often supported by a bachelor's degree in communications, English, or a related field. Familiarity with content management systems (CMS), SEO tools, and digital publishing platforms is typically required. Outstanding communication, decision-making, and team management skills set top performers apart in this role. These skills ensure content quality, maintain editorial standards, and drive the publication’s vision and success in a competitive media landscape.

What Is an Editor in Chief?

An editor in chief may work for various print or digital publications, such as magazines, newspapers, academic journals, or websites. In this job, your duties typically include managing the editorial staff, approving content for publication, and representing the publication at events. As an editor in chief, you’re expected to maintain relationships with publication managers and directors, editors, content marketers, writers, and sponsors. For this career, you must have strong management skills and be able to lead editorial staff members while meeting competing deadlines. Many people in this career begin as assistants and work their way up through managing editor positions, gaining the experience needed to become an editor in chief along the way.

What is the difference between Editor In Chief vs Content Manager?

AspectEditor In ChiefContent Manager
ResponsibilitiesOversees all editorial content, sets editorial standards, and manages editorial teamPlans, coordinates, and manages content production, often focusing on specific campaigns or platforms
Required SkillsStrong editorial judgment, leadership, and industry knowledgeContent strategy, project management, and digital marketing skills
Work EnvironmentTypically in media, publishing, or online platforms, often in a leadership roleIn digital media, marketing teams, or publishing companies, focusing on content execution

While both roles involve content oversight, the Editor In Chief primarily leads editorial direction and standards, whereas the Content Manager focuses on content planning and execution. The Editor In Chief has a broader strategic and leadership role, often with final editorial authority, while the Content Manager handles day-to-day content operations.

What does an Editor in Chief do?

An Editor in Chief is responsible for overseeing the editorial content and direction of a publication, such as a magazine, newspaper, or online media outlet. They manage the editorial team, establish editorial policies, and make final decisions on what gets published. Additionally, they ensure content quality, maintain the publication's voice and standards, and often represent the publication publicly. The Editor in Chief also collaborates with other departments like marketing and design to align content with the publication's goals.

How does an Editor in Chief balance strategic leadership with day-to-day editorial responsibilities?

An Editor in Chief typically manages both the big-picture vision for a publication and the daily workflow of the editorial team. This means setting editorial direction, overseeing content quality, and guiding the team through regular meetings and feedback sessions, while also coordinating with other departments like design, marketing, and sales. Balancing these responsibilities requires strong organizational skills and the ability to delegate tasks effectively. The role often involves making quick decisions on time-sensitive stories and mentoring junior editors to ensure consistent standards and growth within the team.

How much money does an editor-in-chief make?

An editor-in-chief typically earns a median annual salary ranging from $70,000 to over $150,000, depending on the size of the organization, industry, and location. Experienced editors with strong leadership skills and industry reputation can earn higher compensation, often supplemented with bonuses and benefits.

What kind of jobs in media bring in $150,000 a year?

In media, roles such as Editor-in-Chief, senior editors, and executive producers often earn $150,000 or more annually, especially in large organizations or with extensive experience. These positions typically require strong leadership skills, industry expertise, and often involve managing teams, budgets, and strategic content decisions.

Is editor-in-chief the highest position?

The editor-in-chief is typically the highest-ranking editorial position within a publication, responsible for overseeing all content and editorial decisions. However, in larger organizations, executive roles such as publisher or CEO may hold higher authority overall. The specific hierarchy can vary depending on the company's structure and industry.
What job categories do people searching Editor In Chief jobs in Decatur, GA look for? The top searched job categories for Editor In Chief jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Editor In Chief jobs? Cities near Decatur, GA with the most Editor In Chief job openings:
Infographic showing various Editor In Chief job openings in Decatur, GA as of July 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $107,263 per year, or $51.6 per hour.
Applied AI Product Manager (Remote)

Applied AI Product Manager (Remote)

Deloitte

Atlanta, GA • Remote

Other

Posted 16 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


Job description

An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop-automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.

The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement-amplified by the fluent, responsible use of AI to learn faster and earn faster.

Recruiting for this role ends on 9/30/2026.

Work you'll do

  • Product Accountability
    • Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
    • Drive strategy-aligned solutions to achieve product value objectives.
    • Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
    • Measure KPIs and analyze outcomes to inform future strategies.
    • Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
  • Vision and Strategy
    • Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
    • Align product objectives with the product line and business goals.
    • Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
    • Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale. 
  • Market and User Engagement
    • Conduct user research and competitive analysis, using AI agents to synthesize research at speed-accelerating the data crunching, ensuring the human connection.
    • Engage the team with users and stakeholders through continuous research and direct interactions.
    • Collaborate and guide the team toward solutions that address priority user and business needs.
    • Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
    • Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
  • Collaboration and Teamwork
    • Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
    • Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
    • Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools
  • Continuous Improvement 
    • Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
    • Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
    • Remove obstacles for the team and ensure smooth flow of continuous value achievement. 
    • Spread knowledge and best practices within the product vertical community.
  • Applied AI Ways of Working
    • Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios-charting new pathways for the business.
    • Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog-compressing lead time by accelerating the data crunching, ensuring the human connection.
    • Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
    • Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.

The successful candidate will possess:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Product Engineering (PxE) is developing advanced, agentic AI-enabled solutions that are redefining the future of work across our organization and for global clients. We are committed to bringing together outstanding product, engineering, and design talent to lead this transformation.

Qualifications
Required:

  • Bachelor's degree in business, Marketing, Engineering, or a related field. 
  • 6+ years of proven experience in lean product management or related roles.
  • 3+ years enterprise scale experience across multiple business areas. 
  • 1+ years of building AI based intelligent products 
  • 1+ year's experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing
  • Limited immigration sponsorship may be available
  • Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred: 

  • MBA or related advanced degree
  • Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time. Significant experience in lean product management craft and domain (tools, methods, and practices). Seen as a leader in this space.
  • Proven accountability for value, viability and P&L objectives for a product and for an empowered product team.
  • Customer-Centricity: Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions that customers love and that work for the business. Expertise in applying customer-centric methods and practices.
  • AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance), with guardrails at each hand-off-assumptions, confidence levels, and links to sources of truth.
  • AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after, with a kill-switch mentality-and knows when not to use AI.
  • Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex Cursor, and Visual Studio Code.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop-automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.

The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement-amplified by the fluent, responsible use of AI to learn faster and earn faster.

Recruiting for this role ends on 9/30/2026.

Work you'll do

  • Product Accountability
    • Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
    • Drive strategy-aligned solutions to achieve product value objectives.
    • Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
    • Measure KPIs and analyze outcomes to inform future strategies.
    • Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
  • Vision and Strategy
    • Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
    • Align product objectives with the product line and business goals.
    • Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
    • Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale. 
  • Market and User Engagement
    • Conduct user research and competitive analysis, using AI agents to synthesize research at speed-accelerating the data crunching, ensuring the human connection.
    • Engage the team with users and stakeholders through continuous research and direct interactions.
    • Collaborate and guide the team toward solutions that address priority user and business needs.
    • Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
    • Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
  • Collaboration and Teamwork
    • Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
    • Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
    • Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools
  • Continuous Improvement 
    • Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
    • Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
    • Remove obstacles for the team and ensure smooth flow of continuous value achievement. 
    • Spread knowledge and best practices within the product vertical community.
  • Applied AI Ways of Working
    • Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios-charting new pathways for the business.
    • Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog-compressing lead time by accelerating the data crunching, ensuring the human connection.
    • Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
    • Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.

The successful candidate will possess:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic enviro...

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