ZipRecruiter

Log In

1

Widespread Enterprises Jobs (NOW HIRING)

Ziff Davis

Sales Enablement Manager

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

Ziff Davis

Order Operations Manager

$85K - $110K/yr

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

Ziff Davis

Sales Enablement Manager

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

Ziff Davis

Customer Solution Manager

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

Amazon

Software Engineer II, AWS DynamoDB

Seattle, WA · On-site

... widespread impact across AWS, Amazon, and beyond. Many of the world's fastest growing businesses, such as Lyft, Airbnb, and Redfin, as well as enterprises, such as Samsung, Toyota, and Capital One ...

Ziff Davis

Software Engineer I - Backend

Memphis, TN · On-site

$85K - $125K/yr

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

Ziff Davis

Customer Solution Manager

Our solutions empower service providers, enterprises, and governments with the critical data and ... widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in ...

previous page

Showing results 41-60

All JobsAutomotive JobsWidespread Enterprises Jobs

Widespread Enterprises information

See salary details

$38.5K

$105.9K

$158.5K

How much do widespread enterprises jobs pay per year?

As of Aug 23, 2026, the average yearly pay for widespread enterprises in the United States is $105,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What is widespread enterprises?

Widespread Enterprises typically refers to organizations or businesses that operate across multiple locations, regions, or countries, usually offering a diverse range of products or services. These enterprises are characterized by their large scale, complex organizational structures, and significant market presence. They often manage various departments, subsidiaries, or divisions to cater to different markets. Widespread Enterprises require strong management, communication, and logistical strategies to ensure smooth operations. Examples include multinational corporations, conglomerates, and large franchise networks.

What are some common challenges faced by employees working at large, multi-industry companies like Widespread Enterprises?

Employees at large, multi-industry companies often encounter challenges such as navigating complex organizational structures and coordinating projects across multiple departments. Communication can be more complicated due to the sheer size of the company, requiring clear processes and strong collaboration skills. Additionally, adapting to frequent changes as the company expands into new markets or industries may demand flexibility and continuous learning. However, these challenges can also provide valuable opportunities for professional growth and exposure to diverse business areas.

What are the key skills and qualifications needed to thrive as an enterprise manager, and why are they important?

To thrive as an Enterprise Manager, you need strong leadership, strategic planning, and financial management skills, typically supported by a degree in business administration or a related field. Familiarity with enterprise resource planning (ERP) systems, data analytics tools, and project management certifications are often required. Excellent communication, problem-solving, and team-building abilities help individuals excel in managing diverse teams and complex projects. These skills and qualities are crucial for driving organizational growth, ensuring efficient operations, and achieving business objectives.

What is the difference between Widespread Enterprises vs Data Analyst?

AspectWidespread EnterprisesData Analyst
Required CredentialsBachelor's degree in business, marketing, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentCorporate offices, client sites, remote optionsOffice settings, data centers, remote work
Industry UsageBusiness operations, marketing, salesData interpretation, reporting, business insights
Common Search/ComparisonWidespread Enterprises vs Data Analyst

Widespread Enterprises typically involves broader business functions like marketing and operations, while Data Analysts focus on interpreting data to inform business decisions. Both roles often require similar educational backgrounds but differ in daily tasks and industry applications.

More about Widespread Enterprises jobs

What cities are hiring for Widespread Enterprises jobs?

Cities with the most Widespread Enterprises job openings:

What states have the most Widespread Enterprises jobs?

States with the most job openings for Widespread Enterprises jobs include:

What job categories do people searching Widespread Enterprises jobs look for?

The top searched job categories for Widespread Enterprises jobs are:

Widespread Enterprises jobs near you
Infographic showing various Widespread Enterprises job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $105,903 per year, or $50.9 per hour.

Staff Software Engineer, Data Platform

Scale AI, Inc.

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

80th of 246 rated software companies

Job description

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

You will:

  • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
  • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
  • Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers.

Ideally you'd have:

  • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
  • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
  • Show a track record of mentoring and leading teams in successful projects.
  • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
  • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
  • Experience driving cross functional collaboration and communication at an organizational or broader level.

Nice to haves:

  • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
  • Experience with performance tuning and cost optimizations of cloud based data platforms.
  • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.
  • Experience scaling products at hyper-growth startups.
  • Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$252,000—$315,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

What Scale AI employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply