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Graph Strategy Jobs (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY · Remote

USD 100'000-150'000 We are looking for a Knowledge Graph Engineer to join our team in the US ... Make a strategic impact while having fun with awesome colleagues About Squirro Squirro is the ...

Veeam Software

Sr. Director, Graph Databases

San Jose, CA · On-site

$296K/yr

Own the strategy for hyperscale lake and lakehouse integrations, including connectors and scanning ... Proven ability to lead graph modeling for complex domains, including lineage and permissions at ...

Adobe

Principal Product Manager, Graph

San Jose, CA

Establish the long-term vision and strategy for the Graph platform, encompassing the plugins, APIs, extensibility, and interoperability across products and surfaces for both internal teams and ...

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All JobsGraph Strategy Jobs

Graph Strategy information

See salary details

$55.5K

$124.7K

$217.5K

How much do graph strategy jobs pay per year?

As of Aug 5, 2026, the average yearly pay for graph strategy in the United States is $124,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What is a graph strategy?

A Graph Strategy job typically involves working with graph databases or technologies to analyze and model complex relationships among data points. Professionals in this role develop strategies for leveraging graph structures to solve business problems, such as optimizing network connections, detecting fraud, or improving recommendation systems. They often collaborate with data scientists, engineers, and business stakeholders to design, implement, and maintain graph-based solutions. This job requires strong analytical skills, a deep understanding of graph theory, and experience with graph database technologies like Neo4j. The goal is to extract valuable insights from interconnected data to drive strategic decisions.

How does a graph strategy professional typically collaborate with data engineers and business analysts within an organization?

A Graph Strategy professional often acts as a bridge between technical teams (like data engineers) and business stakeholders (such as business analysts). They work closely with data engineers to design and optimize graph databases or knowledge graphs, ensuring that the underlying data structures support business needs. Simultaneously, they partner with business analysts to identify use cases, interpret data relationships, and translate business questions into graph queries or visualizations. This role requires both technical understanding and strong communication skills to align data assets with strategic business objectives.

What is the difference between Graph Strategy vs Data Analyst?

AspectGraph StrategyData Analyst
Required CredentialsOften requires knowledge of data visualization, analytics tools, and strategic planningTypically requires a degree in statistics, mathematics, or related fields; proficiency in Excel, SQL, and data analysis software
Work EnvironmentStrategic planning sessions, data visualization projects, cross-department collaborationData collection, cleaning, analysis, reporting, and presenting insights
Employer & Industry UsageUsed in marketing, finance, and tech companies for strategic decision-makingCommon in business, finance, healthcare, and tech sectors for data-driven insights

While both roles involve working with data, Graph Strategy focuses on creating visual data representations to inform strategic decisions, whereas Data Analysts primarily analyze data sets to generate actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

What are the key skills and qualifications needed to thrive as a graph strategy professional, and why are they important?

To thrive as a Graph Strategy professional, you need a strong background in mathematics, data analysis, and graph theory, often supported by a degree in computer science, mathematics, or a related field. Familiarity with graph databases (e.g., Neo4j), data visualization tools, and relevant programming languages like Python or Cypher is typically required. Strategic thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business strategies. These skills enable professionals to leverage graph structures for advanced analytics, driving informed decisions and competitive advantage.
More about Graph Strategy jobs
What cities are hiring for Graph Strategy jobs? Cities with the most Graph Strategy job openings:
What states have the most Graph Strategy jobs? States with the most job openings for Graph Strategy jobs include:
What job categories do people searching Graph Strategy jobs look for? The top searched job categories for Graph Strategy jobs are:
Graph Strategy jobs near you
Infographic showing various Graph Strategy job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 61% Full Time, 34% Part Time, and 3% Contract. Highlights an 55% Physical, 3% Hybrid, and 42% Remote job distribution, with an average salary of $124,659 per year, or $59.9 per hour.

Knowledge Graph Engineer

Squirro

New York, NY • Remote

Full-time

Re-posted 25 days ago

Job description

Salary: USD 100'000-150'000

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graphdriven SaaS solutions for enterprise customers.


What Youll Do

As a Knowledge Graph Engineer, you will work closely with customers and internal product and engineering teams to design and deploy semantic and knowledge graph solutions that deliver measurable business value.


  • Client Engagement & Solution Delivery: Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graphbased solutions.
  • Semantic Modeling & Knowledge Graph Design: Develop and maintain taxonomies, ontologies, and classification models. Design semantic structures that align user needs with business objectives.
  • Cross-functional Collaboration: Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions.
  • Product Contribution & Customer Feedback: Gather and prioritize client requirements, contribute ideas to the product roadmap, and support product positioning through demos, content, and customer-facing activities.


What You Bring

You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.


  • Strong Python experience
  • Experience in customer-facing roles within software or SaaS environments
  • Strong communication and presentation skills
  • Practical experience developing taxonomies, ontologies, and knowledge graphs
  • Experience managing human and/or machine classification
  • In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL)
  • Familiarity with graph databases, particularly RDF graph databases
  • Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
  • Ability to collaborate effectively across technical and non-technical teams


What we offer


  • Drive growth in a dynamic, high-potential tech environment
  • Enjoy autonomy with our "freedom and responsibility" work approach
  • Collaborate with exceptional talent solving extraordinary challenges
  • Drive customer success and retention while enjoying a flexible environment focused on growth
  • Make a strategic impact while having fun with awesome colleagues


About Squirro

Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organizations unique enterprise ontology.

Further information about AI-driven business insights can be found at:
https://squirro.com/