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Graph Jobs (NOW HIRING)

United Airlines

Neo4J Graph Database Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Location The job is located in Charlotte, NC - Onsite Hybrid Your Role We are seeking a Graph Database Engineer with strong hands on experience in Neo4j to design and deliver graph based fraud ...

Adobe

Principal Product Manager, Graph

Seattle, WA · On-site

Graph is a highly technical product used to build, visualize, implement, and share complex workflows through graph-based systems. Firefly Graph powers both an advanced node-based editor and ...

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How much do graph jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for graph in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 per hour, depending on experience, location, and employer.

How does a Graph Database Engineer typically collaborate with data scientists and software developers in a project setting?

Graph Database Engineers often work closely with data scientists to design and optimize data models that support complex relationships and queries. They collaborate with software developers to integrate graph databases into applications, ensuring seamless data flow and performance. Regular meetings and code reviews help align database structures with business requirements and analytical goals. This cross-functional teamwork is essential for delivering scalable, high-performing solutions that leverage graph-based data.

What is a Graph job?

A Graph job typically refers to a position involving the analysis, visualization, or implementation of graph-based data structures and algorithms. This may include working with graph databases, network analysis, or machine learning applications that leverage graph theory. Common roles include Graph Data Scientist, Graph Engineer, or Network Analyst, often requiring expertise in tools like Neo4j, GraphQL, or NetworkX. These jobs are commonly found in industries such as social networks, cybersecurity, recommendation systems, and logistics.

What is the difference between Graph vs Data Analyst?

AspectGraphData Analyst
Required CredentialsTypically no formal degree, but knowledge of graph theory helpsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentResearch, academia, or specialized tech rolesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in computer science, mathematics, and research projectsApplied in analyzing data trends, reporting, and decision-making

While a graph refers to a mathematical or visual representation of data, a Data Analyst is a professional who interprets data, often using graphs as tools. The Data Analyst's role involves analyzing data sets, creating visualizations, and providing insights, whereas a graph is a component or tool used within data analysis processes.

What are Graph jobs?

Graph jobs typically refer to roles that involve working with graph data structures, graph databases, or graph theory. These jobs can include positions such as data scientists, software engineers, or researchers who analyze relationships between data points, model complex networks, or optimize algorithms for graph traversal. Graph jobs are commonly found in industries like technology, finance, telecommunications, and social media, where understanding connections and networks is crucial. Professionals in these roles often use tools such as Neo4j, GraphQL, or NetworkX to handle and analyze graph data. A strong background in mathematics, computer science, or data analysis is often required.

What are the key skills and qualifications needed to thrive as a Graphic Designer, and why are they important?

To thrive as a Graphic Designer, you need a strong foundation in design principles, creativity, and proficiency in visual communication, often supported by a degree in graphic design or a related field. Mastery of technical tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and knowledge of digital asset management systems are typically required. Excellent communication, time management, and collaboration skills help designers effectively convey ideas and work with clients or teams. These skills are essential to producing compelling visuals that meet client goals and stand out in a competitive creative industry.
More about Graph jobs
What cities are hiring for Graph jobs? Cities with the most Graph job openings:
What states have the most Graph jobs? States with the most job openings for Graph jobs include:
What job categories do people searching Graph jobs look for? The top searched job categories for Graph jobs are:
Graph jobs near you
Infographic showing various Graph job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 35% Part Time, and 3% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.
Product Manager II - Security Graph Foundations

Product Manager II - Security Graph Foundations

Datadog

New York, NY • On-site

Other

Posted 22 days ago

Job description

As a Product Manager for Security Graph Foundations you'll be responsible for the shared graph platform that powers Datadog's security intelligence across Cloud Security, Cloud SIEM, Application Security, and Workload Protection. Datadog's security graph connects identities, resources, findings, and signals into a unified model of risk, enabling security teams to understand not just what is happening but what it means for their entire environment. This role sits at the center of that platform: owning the infrastructure, data model, and cross-product capabilities that let every Datadog security product ask and answer graph-powered questions. You will partner with engineers across multiple platform teams and serve as the connective tissue between security graph infrastructure and the security product teams building on top of it.

What You'll Do: 

  • Define and build the roadmap for Security Graph Foundations, the shared platform connecting security data across Cloud Security, Cloud SIEM, Application Security, and Workload Protection.
  • Drive execution of security graph infrastructure investments, aligning platform team dependencies to clear milestones and timelines.
  • Work closely with executives, marketing, sales, PR, design, and support teams to successfully bring new products and features to market.
  • Develop a deep understanding of the market landscape and identify key areas of competitive differentiation and market disruption.
  • Maintain and report to product leadership on key metrics regarding platform adoption and customer value.
  • Partner with security product PMs and customers to define and expand cross-product graph use cases that surface risk and context across cloud, code, SIEM, workload protection, and application security.
  • Partner with the security graph intelligence team to define what data belongs in the graph, how it is modeled, and how platform capabilities are shared across product teams.

Who You Are: 

  • Minimum 3+ years in enterprise software, with a preference for security or data platform background.
  • Committed to high-quality products and customer satisfaction.
  • Excellent verbal and written communication, capable of presenting ideas to technical and executive stakeholders.
  • Comfortable driving execution across complex, multi-team dependencies while maintaining a clear product strategy and prioritization framework.
  • Prior engineering experience or deep understanding of graph data modeling, data pipelines, or platform infrastructure, including how to decide what becomes a graph edge, an attribute, or a connector.
  • Familiarity with security domains across cloud, code, SIEM, and workload protection, enough to credibly partner with product teams on what belongs in the graph and why.
  • Regularly uses LLM-based tools like Claude Code and Cursor to accelerate your work, from drafting PRDs and analyzing data to researching markets and prototyping ideas.
  • Driven to build and scale new products in a high-growth environment.
  • Demonstrates strong ownership, data-driven problem-solving, and prioritization skills.

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