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Widespread Enterprises Jobs (NOW HIRING)

Databricks

Sr. Solutions Engineer - MFG

Boston, MA · On-site

$60 - $77.50/hr

... enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. ... widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your ...

Cohere

Senior/Staff Full-Stack Engineer

Manhattan, NY · On-site +1

... enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of ...

Cohere

Senior/Staff Full-Stack Engineer

New York, NY · On-site

... enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of ...

Databricks

Solutions Architect - Manufacturing

Chicago, IL · On-site +1

$65 - $85.50/hr

... enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the ... widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your ...

Cohere

Data Engineer, Data Foundations

New York, NY · On-site

$125.30K - $150.40K/yr

... enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of ...

Cohere

Data Engineer, Data Foundations

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

... enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of ...

Cohere

Senior Counsel, Commercial Technology

New York, NY · On-site

$152.60K - $207.30K/yr

... enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of ...

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Widespread Enterprises information

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$38.5K

$105.9K

$158.5K

How much do widespread enterprises jobs pay per year?

As of May 28, 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 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 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 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 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 May 2026, with employment types broken down into 1% Internship, 16% Full Time, 79% Part Time, 1% Contract, and 3% Nights. Highlights an 43% Physical, 47% Hybrid, and 10% Remote job distribution, with an average salary of $105,903 per year, or $50.9 per hour.
Sr. Solutions Engineer - MFG

Sr. Solutions Engineer - MFG

Databricks

Boston, MA • On-site

$60 - $77.50/hr

Other

Posted 27 days ago

Job description

Location:  Northeast, US

REQ ID - FEQ327R20

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The impact you will have:

  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You work with your sales team and technical peers to drive business outcomes for our clients

What we look for:

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud (Azure & AWS).
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks, Snowflake, AWS or Azure Certification

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