ZipRecruiter

Log In

1

Knowledge Manager Jobs in San Rafael, CA (NOW HIRING)

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue ... Program and maintain the backend orchestration layers that parse active CRM deal metrics to surface ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site +1

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue ... Program and maintain the backend orchestration layers that parse active CRM deal metrics to surface ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue ... Program and maintain the backend orchestration layers that parse active CRM deal metrics to surface ...

Equinox

Style Advisors, Union Street

San Francisco, CA · On-site

$19.80/hr

Maintain knowledge of all club and Shop services, programs and products OPERATIONAL EXCELLENCE: * Understands and upholds all loss prevention and inventory management policies on a consistent basis

previous pagenext page

Showing results 21-40

All JobsKnowledge JobsKnowledge Manager JobsKnowledge Manager Jobs in San Rafael, CA

Knowledge Manager information

See San Rafael, CA salary details

$48.5K

$96K

$137.1K

How much do knowledge manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for knowledge manager in San Rafael, CA is $95,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $115,400.00 per year, depending on experience, location, and employer.

What is a knowledge manager?

A knowledge manager ensures that company policies, strategies, and initiatives are properly documented and accessed by authorized users. These professionals support process improvement and decision-making and may work in a variety of industries. As a knowledge manager, your duties involve organizing a knowledge database, analyzing the effectiveness of knowledge management programs, and acting as mediator to answer client and staff questions about related products and practices. To pursue a career as a knowledge manager, you typically need a degree in business, information technology, or a related field and relevant work experience. Additional qualifications include interpersonal, organizational, and project management skills, as well as attention to detail and resourcefulness.

What does a knowledge manager do?

A Knowledge Manager is responsible for organizing, managing, and optimizing the knowledge assets within an organization. They develop strategies and systems for capturing, storing, sharing, and utilizing information to improve efficiency, collaboration, and decision-making. Knowledge Managers often work with digital platforms, facilitate training, and encourage a culture of knowledge sharing among employees. Their role is crucial in ensuring that valuable organizational knowledge is preserved and accessible to those who need it.

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

To thrive as a Knowledge Manager, you need expertise in information management, content curation, and organizational strategy, often supported by a degree in library science, information systems, or a related field. Familiarity with knowledge management systems (KMS), collaboration platforms like SharePoint or Confluence, and relevant certifications such as Certified Knowledge Manager (CKM) are typically required. Strong communication, analytical thinking, and stakeholder engagement skills help drive knowledge-sharing initiatives and foster a culture of continuous learning. These skills ensure that organizational knowledge is efficiently captured, shared, and utilized, leading to improved decision-making and innovation.

How does a knowledge manager typically collaborate with other departments to ensure effective knowledge sharing?

Knowledge Managers work closely with various departments such as IT, HR, and operations to identify knowledge gaps, develop systems for information sharing, and promote best practices. They often facilitate workshops, create knowledge bases, and establish guidelines to ensure that valuable organizational knowledge is accessible and up-to-date. Regular interaction with team leaders and subject matter experts is essential to capture insights and tailor knowledge management strategies that support business objectives.

What is the difference between Knowledge Manager vs Content Specialist?

AspectKnowledge ManagerContent Specialist
Required CredentialsBachelor's degree, certifications in knowledge management or information systemsBachelor's degree, certifications in content creation or digital marketing
Work EnvironmentCorporate, IT, or organizational settings focusing on information systemsMarketing, media, or digital teams creating and managing content
Employer & Industry UsageUsed across industries to manage organizational knowledge assetsCommon in marketing, media, and digital content industries
Search & Comparison IntentUnderstanding roles related to organizational knowledgeComparing content creation and management roles

The Knowledge Manager focuses on organizing, maintaining, and improving organizational knowledge assets, often working with information systems and internal data. In contrast, the Content Specialist primarily creates, edits, and manages digital content for marketing or communication purposes. While both roles require strong communication skills and relevant certifications, their work environments and objectives differ significantly.

How much do knowledge managers make in the US?

Knowledge managers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, industry, and location. Senior roles or those with specialized skills in information systems or content management may earn higher salaries, often exceeding $120,000 annually.

What is the career path of a knowledge manager?

A knowledge manager typically starts in roles such as information specialist or librarian, then advances to senior knowledge management positions, team lead, or director. Career progression often involves developing expertise in information systems, data management, and collaboration tools, with certifications like CKM (Certified Knowledge Manager) supporting advancement.

What skills do you need to be a knowledge manager?

Knowledge managers need strong communication, organizational, and analytical skills to effectively organize and share information. They should be proficient with knowledge management tools and technologies, such as content management systems and collaboration platforms, and often require a background in information science, library science, or related fields.
More about Knowledge Manager jobs

What are the most commonly searched types of Knowledge jobs in San Rafael, CA?

The most popular types of Knowledge jobs in San Rafael, CA are:

What job categories do people searching Knowledge Manager jobs in San Rafael, CA look for?

The top searched job categories for Knowledge Manager jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Knowledge Manager jobs?

Cities near San Rafael, CA with the most Knowledge Manager job openings:

Knowledge Manager jobs near you
Infographic showing various Knowledge Manager job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $95,997 per year, or $46.2 per hour.

Principal Knowledge Engineer

Salesforce, Inc.

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 245 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Salesforce is building the next generation Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision-making across the company. The platform will serve as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains.

We are seeking a Principal Member of Technical Staff (PMTS) to provide technical leadership and architectural direction for Salesforce's Enterprise Knowledge Graph strategy. This role will be responsible for defining the long-term vision, architecture, and execution strategy for Knowledge Graph platforms, semantic technologies, ontology-driven systems, graph data engineering, and AI-powered developer productivity solutions. The PMTS will partner closely with Architecture, Product Management, Ontology, Data Engineering, and AI Platform teams to establish a scalable foundation that supports current and future agentic AI use cases across the enterprise.

In addition to Knowledge Graph leadership, this role will drive the strategy and productionization of AI-powered engineering tools and developer platforms that improve engineering productivity, software quality, operational efficiency, and delivery velocity. The ideal candidate combines deep expertise in Knowledge Graph technologies with a proven track record of leading large-scale technical initiatives and successfully bringing AI-powered engineering solutions from concept to production.

What You'll Actually Be Doing

  • Define and drive the long-term technical vision, architecture, and roadmap for Salesforce's Enterprise Knowledge Graph platform.

  • Lead architecture and design for knowledge graph ecosystems, including graph data models, ontologies, semantic layers, entity resolution frameworks, graph APIs, vector search capabilities, and retrieval architectures supporting AI and agentic use cases.

  • Establish enterprise standards, governance models, engineering patterns, and best practices for Knowledge Graph development, deployment, and lifecycle management.

  • Define strategies for integrating structured, unstructured, and third-party data sources into graph-based platforms using scalable data engineering patterns.

  • Partner with Architecture, Product, AI Platform, and Data Engineering organizations to align platform investments with enterprise priorities and future AI initiatives.

  • Drive technical direction for semantic routing, graph-powered retrieval, enterprise search, agent orchestration, and federated knowledge access patterns.

  • Lead evaluation, selection, and adoption of graph technologies, semantic platforms, vector databases, and AI infrastructure required to support enterprise-scale workloads.

  • Define and drive the strategy for AI-powered developer tooling, engineering automation, and productivity platforms that leverage technologies such as Claude, Cursor, Windsurf, AI Agents, MCP frameworks, and related AI ecosystems.

  • Lead teams in productionizing AI-enabled engineering solutions, ensuring scalability, security, governance, reliability, and measurable productivity improvements.

  • Provide technical leadership and architectural guidance across PMTS, LMTS, SMTS, and contractor teams while driving alignment across multiple organizations.

  • Serve as the primary technical authority for complex architectural decisions, platform investments, and long-term engineering strategy.

  • Foster innovation and continuous improvement while establishing a culture of engineering excellence, technical rigor, and operational maturity.

You're Our Person If...

  • 12+ years of experience in software engineering, data engineering, distributed systems, enterprise data platforms, or related technical domains.

  • A related technical degree required.

  • Proven experience defining and delivering enterprise-scale Knowledge Graph platforms supporting AI, semantic search, data integration, and agentic applications.

  • Deep expertise in Knowledge Graph technologies, ontology engineering, semantic modeling, linked data, graph databases, and enterprise metadata management.

  • Strong hands-on experience with graph technologies such as Neo4j, TopQuadrant, RDF/OWL, SPARQL, property graph models, semantic reasoning frameworks, or similar technologies.

  • Proven experience leading the architecture and implementation of graph-powered AI solutions, semantic retrieval systems, vector search platforms, RAG architectures, and agentic workflows.

  • Demonstrated success in building, scaling, and productionizing AI-powered developer tools, engineering platforms, or automation solutions using technologies such as Claude, Cursor, Windsurf, GitHub Copilot, AI agents, MCP frameworks, or similar ecosystems.

  • Strong experience designing enterprise data engineering architectures, including large-scale ingestion, transformation, orchestration, metadata management, and data governance frameworks.

  • Experience with cloud-native architectures and platforms including AWS, GCP, or Azure.

  • Strong understanding of distributed systems, APIs, microservices, event-driven architectures, and modern software engineering practices.

  • Demonstrated ability to influence senior technical leaders, executives, architects, and cross-functional stakeholders.

  • Proven track record of defining technical strategy and driving execution across multiple teams and organizations.

  • Excellent communication, leadership, and stakeholder management skills.

Even Better If...

  • Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.

  • Experience building enterprise Knowledge Graph platforms supporting large-scale AI and agentic ecosystems.

  • Experience with Salesforce Data Cloud, CRM platforms, metadata-driven architectures, or enterprise data platforms.

  • Experience with semantic routing, enterprise search, graph-powered recommendation systems, and intelligent retrieval architectures.

  • Experience with vector databases, Retrieval-Augmented Generation (RAG), AI agents, MCP frameworks, and emerging AI infrastructure technologies.

  • Experience leading enterprise-wide platform initiatives spanning multiple organizations and business domains.

  • Strong understanding of ontology governance, federated knowledge management, and enterprise semantic architecture.

  • Demonstrated track record of driving measurable improvements in engineering productivity through AI-powered tooling and automation.

  • Publications, patents, conference presentations, or recognized industry leadership in Knowledge Graphs, Semantic Technologies, AI Engineering, or related domains.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply