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Added 2 mins ago
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Sr. Network Engineer
TEKsystems
San Diego, CA
- $103,480 to $161,200 USD / year
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive…
Added 6 mins ago
Capital One Shopping Tech, Full - stack Engineer 5 (Remote - Eligible)
Capital One
Phoenix, AZ
We are seeking a Full - stack Engineer 5 who is passionate about marrying data with emerging technologies. As a Full-stack Engineer 5, you’ll have the opportunity to be on the forefront of…
Added 6 mins ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Phoenix, AZ
- $100,000 USD / year
…solutions. Successful candidates typically demonstrate strength in full-stack or backend application development, API design, databases, cloud platforms, and emerging AI…
Added 17 mins ago
Full Stack Engineer, Agentic AI
Jobgether
Remote, United States
Full-stack application development: Architect, build, test, and deploy scalable applications using technologies such as TypeScript, React, Node.js, Python, and Go, integrating AI and data…
Added 29 mins ago
Forward Deployed Engineer (AI Capability Center) - Internal Facing - Multiple Openings!
Huron Consulting Group
Chicago, IL
Build the features. Full-stack on AWS and Azure using Claude and other models.
Added 29 mins ago
Forward Deployed Engineer Associate (AI Capability Center) - Internal Facing
Huron Consulting Group
Chicago, IL
Build the features. Full-stack on AWS and Azure using Claude and other models.
Added 29 mins ago
AI Engineering Manager (AI Capability Center) - Internal Facing - 3 Openings Remaining
Huron Consulting Group
Chicago, IL
Build the features. Full-stack on AWS and Azure using Claude and other models.
Added 30 mins ago
Staff Software Engineer - Card Technology
Capital One
Chicago, IL
Chicago, IL: $244,700 - $279,200 for Staff Full-stack Engineer
Added 30 mins ago
Lead AI Engineer / Typescript / LangChain / LangGraph
Kelly Services
Chicago, IL
In this role, you’ll work with a modern technology stack including Python, TypeScript, LangChain, LangGraph, Docker, REST APIs, and cloud-native infrastructure. This position is ideal for…
Added 56 mins ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Concord, NH
- $100,000 USD / year
…solutions. Successful candidates typically demonstrate strength in full-stack or backend application development, API design, databases, cloud platforms, and emerging AI…
Added 1 hour ago
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Software Engineering Intern, Connectivity - HP IQ
HP
San Francisco, CA
- $40 to $50 USD / hour
Develop on-device firmware and system software in C, C++, or Python for connected device experiences.
Added 1 hour ago
ICBM Futures- SW Engineering Lead
BAE Systems
Hill AFB, UT
In this pivotal role, you will serve as a technical steward, guiding the development of full-stack engineering capabilities and supporting success across complex, high-stakes environments.…
Added 1 hour ago
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Software Engineer, Traffic Infrastructure
OpenAI
San Francisco, CA
- $266,000 to $445,000 USD / year
You’ll bring depth in part of this stack and curiosity about how the whole path works. Projects may include building gateways and control planes, improving cross-region connectivity,…
Added 2 hours ago
Full Stack Engineer 5
Capital One
NY
…real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies.…
Added 2 hours ago
Full Stack Engineer 4
Capital One
NY
…real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies.…
Added 2 hours ago
Vice President, Infrastructure Solution Engineer
BNY
Lake Mary, FL
Develop across the full stack of Web technologies - Java, JavaScript, Angular.js, HTML and CSS
Added 2 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
- $175,000 to $255,000 USD / year
- One to five years of experience in customer-facing full-stack or forward-deployed engineering, with a strong software engineering foundation.
Added 2 hours ago
Forward Deployed AI Engineer
Baker Tilly Advisory Group, LP
United States
…workflows across Tax, Assurance, and Advisory. This hands-on, full-stack engineering role focuses on building production-ready AI solutions that combine advanced AI capabilities with…
Added 2 hours ago
Sr. Software Development Engineer, ML Infrastructure Team
Amazon
Cupertino, CA
…network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a wide matrix of instance types,…
Added 2 hours ago
Senior Staff Software Engineer
Intuit
MOUNTAIN VIEW, CA
Full-stack experience with modern AI/ML platforms (Vertex AI, SageMaker, Bedrock), LLM APIs, agent orchestration frameworks, vector databases, and Python; plus depth in at least one of:
Added 2 hours ago
Senior Software Engineer, Multimodal Search Quality
Google
Mountain View, CA
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology…
Added 2 hours ago
Software Engineer, Agentic Infrastructure for Data Engineering
Google
Sunnyvale, CA
…qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology…
Added 2 hours ago
Product Design Engineering Intern - AI Glasses
Meta
Sunnyvale, CA
Intent to return to full-time degree program after completion of the internship
Added 2 hours ago
Senior Manager, Trial Surveillance & Analytics (Hybrid)
AbbVie
San Francisco, CA · Irvine, CA
The Senior Manager, Trial Surveillance & Analytics is a hands-on, full-stack data scientist who takes a surveillance question from intake to a working solution. You will work in a small…
Added 3 hours ago
AL
Senior Product Engineer
Array Labs
Redwood City, CA
- $150,000 to $200,000 USD / year
…customer-facing APIs, and AI-enabled workflows. You will work across the full software stack, and alongside product management, designers, and engineering…

rPotential

Knowledge Graph & Ontology Lead

San Francisco, CA, United States

$230,000 to $285,000 USD / year

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Job details

Pay: $230,000 to $285,000 USD / year
Posting language: English
Posted: Oct 27, 2026

Original job description

Company: r.Potential Position: Knowledge Graph & Ontology Lead Reports to: Head of Product Location: San Francisco Bay Area (hybrid, 2–3 days per week in office)

About r.Potential

r.Potential exists to help people and companies realize their full potential as AI changes work. We're building an enterprise platform that helps leaders decide where to invest, what work AI can realistically take on, and how people's roles should evolve. We independently prove whether those changes deliver real business results. Drawing on a proprietary, global view of work across millions of companies, we're developing repeatable ways for people and AI to work together. Our ambition is for each company's decisions and results to improve the next company's choices. Join us to help shape how the next generation of companies works. r.Potential is based in SF and backed by Salesforce and The Adecco Group.

About the Opportunity

An org chart shows who reports to whom, but work moves through decisions, handoffs, dependencies, exceptions and informal coordination, and the evidence of it is scattered, incomplete, contradictory and constantly changing. Our Global Labor Graph connects that evidence across the global economy to reveal how work is organized and changing, then makes it specific to each enterprise: its value streams, workflows, tasks, decisions and human and AI capabilities. This role owns what the graph means and how good it is: what the evidence establishes, where we are making an inference, and how the picture changes as new evidence arrives or AI becomes capable of something new. Every product built on the graph depends on that model being one customers can trust.

We are looking for a Knowledge Graph & Ontology Lead. to design and evolve the semantic model at the center of our product. You will own the Global Labor Graph’s ontology, entity resolution and release quality and partner with data engineers, data scientists, Product and Engineering to turn fragmented evidence about work into a model that improves real enterprise decisions.

About the Frontier You’ll Help Shape

Lead the design of an ontology that represents work coherently, connecting organizations, people, occupations, skills, tasks, decisions, AI agents, systems and outcomes, with the history and permissions each view of an enterprise needs.
Turn fragmented evidence from external datasets and enterprise sources into one model: resolve companies and other entities, align taxonomies that disagree, reconstruct how work actually flows, and preserve provenance, uncertainty and conflicting claims.
Make every graph release dependable, with versioned, tested builds and an evaluation suite that measures accuracy, unsupported relationships and reasoning correctness before anything ships, so corrections and new evidence make each release better than the last.
Partner with Product and Engineering so recommendations, market intelligence and enterprise workcharts can use the graph and explain their results in its terms. If AI speeds up one activity, help a customer see whether the whole workflow improves or a bottleneck moves elsewhere.
Test advances in knowledge representation, graph learning and language models against meaningful baselines, and decide what to adopt, adapt or set aside.
Partner with Engineering, Security and business owners on access controls, licensing, derived-use rights and auditability, including the practices behind ISO 27001 and SOC 2.
Lead others through initiatives: set technical direction, frame and review the work of engineers and scientists, and raise the team’s standards for modeling and evaluation.

About the Technology You’ll Build With

You will work with a large, varied data estate: more than a billion job postings spanning over 15 years, hundreds of millions of career profiles, tens of millions of company records, staffing demand and supply data from one of the world’s largest employers, and public occupational, skill and industry taxonomies. These sources use different vocabularies, identify companies differently and are revised continuously, so reconciling them is central to the role.

Our stack includes Neo4j, Databricks, Spark, Python, SQL, PostgreSQL and Microsoft Azure, with REST APIs and microservices for delivery. As a startup, we can evolve it where a new tool materially improves what we can build.

About Your Craft

8+ years of experience in data modeling, knowledge graphs or applied machine learning, with practical depth in ontologies, taxonomies or semantic graphs that you personally shaped and that powered real applications.
Hands-on experience with entity resolution and taxonomy crosswalks across large, inconsistent sources, including how to measure and correct match quality.
Strong hands-on ability in Python, SQL and Spark, with command of data engineering fundamentals: reliable pipelines, data quality, dataset and schema versioning, and production monitoring.
Sound judgment in machine learning and statistical reasoning, enough to challenge a method’s assumptions, failure modes and evaluation, and to combine learned models with explicit structure where it helps.
Systems thinking is grounded in detail: you can move between an enterprise’s business problem, its data, the representation underneath it and the behavior of an application, and you recognize when a local improvement damages the wider outcome.
A record of turning difficult data or AI problems into products people use, and of explaining what you tested, what failed and how the evidence changed your design.
Product judgment and clear communication: you can work with leadership, Product, Engineering and enterprise customers on what to build and why its conclusions deserve trust.
Experience leading technical initiatives through influence: framing problems, guiding specialists and integrating their work into a coherent result.

About Your Edge

Familiarity with occupational and skill taxonomies such as O*NET, SOC, ISCO and ESCO, or commercial job and skill taxonomies.
Experience with graph databases such as Neo4j, and with RDF, OWL and SKOS or property-graph modeling.
Experience with graph learning, LLM-based extraction, process intelligence or probabilistic reasoning.
Experience in a startup or high-growth environment.
A research background in knowledge representation or a related field; demonstrated technical ownership and product delivery count equally. We expect a deep foundation and the ability to learn across fields, not expertise in every technique.

About Working at r.Potential

This role is hybrid, with 2–3 days per week in our San Francisco office. You will start from a working graph, an established data team and direct partners in Product and Engineering, with room to shape the approach. Your first challenge is to show a useful result on a bounded enterprise problem, then build methods that carry across companies and improve with evidence.

r.Potential is part of The Adecco Group, is one of the world’s largest employers. We believe in talent, not labels, and focus on the diverse and unique skills our people bring. We have zero tolerance for any unlawful discrimination or harassment, against any employee, associate, or candidate, at any stage of that person’s journey with us. We seek to foster a culture of belonging and purpose, an environment where everyone can thrive and feel engaged, and where difference is respected and valued. Our commitment to equity, equal opportunity, inclusion, and diversity is part of our broader commitment to respecting fundamental human rights across our value chain. rPotential is proud to be an Equal Opportunity Employer. Equal Opportunity Employer/Veterans/Disabled. Click here to read our Candidate Privacy Information Statement, which explains how we will use your information.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance

The anticipated annual base salary range for this position is between $230,000 - $285,000. Compensation varies based on a variety of factors including, but not limited to, experience, education, key skills, and geographic location.

Benefit offerings for full-time employment include medical, dental, vision, term life and AD&D insurance, short-term and long-term disability, additional voluntary benefits, commuter benefits, wellness plans, and a 401k plan or a non-qualified deferred compensation plan. Available paid leave includes Personal Time Off (PTO) on an accrual basis up to 152 hours a year, 10 Paid Holidays, 1 Community Service Day, and up to 6 weeks of Paid Parental Leave. PTO and holiday hours are prorated based on hire date within the calendar year.

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