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Graph Strategy Jobs (NOW HIRING)

Tiger Graph Developer

Charlotte, NC · On-site

$65 - $68/hr

Monitor the performance of graph queries and work on optimization strategies for large-scale deployments. * Collaboration: Work closely with cross-functional teams (e.g., data engineers, data ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Make a strategic impact while having fun with awesome colleagues About Squirro Squirro is the ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills. * You are driven by creating graph-based solutions that help enhance investment decision ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

The role involves designing and implementing financial knowledge graph architecture, creating data ... Point72 invests in multiple asset classes and strategies worldwide. Founded in 2012, the company is ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills. * You are driven by creating graph-based solutions that help enhance investment decision ...

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery ... Make a strategic impact while having fun with awesome colleagues About Squirro Squirro is the ...

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 ...

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Graph Strategy information

See salary details

$55.5K

$124.7K

$217.5K

How much do graph strategy jobs pay per year?

As of Jun 7, 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 job?

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 professional in Graph Strategy 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:
Infographic showing various Graph Strategy job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,659 per year, or $59.9 per hour.
Staff AI Software Engineer - Platform

Staff AI Software Engineer - Platform

FanDuel

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


FanDuel rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies


Job description

THE POSITIONOur roster has an opening with your name on it
As the senior-most technical Knowledge & Context Engineer, you will design and operationalized a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, ontologies, metadata systems, runtime memory injection, and lineage and governance frameworks.
This role sits at the intersection of AI engineering, distributed systems, and applied intelligence. You will lead the strategy and execution for how enterprise knowledge is structured, represented, governed, retrieved, and operationalized across agents, copilots, automation systems, and customer-facing AI products.
Importantly, you will sit at the cutting edge of building the cognitive substrate for an AI-native enterprise. Come join us as a hands-on thought leader who innovates by doing.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
Build foundational content intelligence systems: Design systems for ingestion, indexing, embeddings, metadata, retrieval, lineage, governance, and auditability that can support both internal and customer-facing AI use cases. This includes customers, media and marketing assets, product features, production code, websites, game sounds, customer service experiences, operational workflows, and other enterprise content.
Establish enterprise knowledge graphs and ontologies: Define and implement a regulatory-compliant knowledge graph strategy that creates deep context about FanDuel's products, employees, operations, customers, and systems. Own the design of graph databases, semantic models, ontologies, entity resolution patterns, and relationships across vector and non-vector data. Build the connective tissue that allows AI systems and agents to reason over enterprise context with precision, transparency, and control.
Design secure memory patterns for agents: Create reusable design patterns for how AI agents acquire, store, retrieve, update, and discard context during runtime. This includes short-term memory, long-term memory, episodic memory, summarization, context injection, retrieval augmentation, and governed memory sharing across tools and systems. Ensure memory systems are efficient, secure, auditable, and appropriate for regulated environments.
Champion responsible AI development: Ensure knowledge, retrieval, graph, and memory systems meet regulatory requirements, ethical standards, privacy obligations, and responsible gaming principles. Build safeguards, access controls, provenance, explainability, monitoring, and auditability into the platform from day one.
In six months, you'll know you're heading on the right path if you've built:
  • Reusable runtime memory patterns that are being used by multiple agents to securely acquire, retrieve, summarize, and apply context during execution.
  • A production-grade graph and ontology framework connecting products, customers, employees, operations, systems, and content with clear lineage, access controls, and regulatory compliance.
  • The first context sets of centralized, governed multimodal vector store and retrieval layer supporting AI applications across customer, product, marketing, engineering, operations, and support domains.
  • Teams can build AI solutions faster because retrieval, memory, metadata, governance, and knowledge graph capabilities are available as shared primitives rather than bespoke pipelines.

THE STATS
What we're looking for in our next teammate
  • 7+ years of engineering experience, preferably working with large distributed systems that support a mix of data and software development activities. Bonus to consulting engineers and people with experience on early start up teams
  • Track record of taking products from concept to launch in fast-moving, ambiguous environments.
  • Practical fluency with generative AI tools and concepts-especially graph, RAG, AgenticRAG, fine-tuning, and anti-RAG patterns
  • Experience building or operating vector and graph DBs, otnology, semantic search, and runtime memory evaluations
  • Ability to operate autonomously, create clarity from ambiguity, and influence across a matrixed organization.
  • Strong communication skills-able to translate AI concepts into clear value narratives for both technical and non-technical stakeholders.
  • High ownership mindset with a bias for action and outcomes over outputs.
  • For bonus points, experience and background in gaming, fintech, marketplace, or other regulated industries.

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $170,000 - $213,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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