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Manager Requirements Engineer Jobs in California

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ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations ... Requirements for the Role Include: * Advanced degree (MS or PhD) in Computer Science, Artificial ...

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Forward Deployed Engineer

Mountain View, CA · On-site

The firm is led day-to-day by its Managing Partner Kirsty Tan, whose deep enterprise consulting ... About the Role We are looking for Forward Deployed AI Engineers to join our team and work directly ...

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Forward Deployed Engineer

Mountain View, CA · On-site

$180K - $200K/yr

The firm is led day-to-day by its Managing Partner Kirsty Tan, whose deep enterprise consulting ... About the Role We are looking for Forward Deployed AI Engineers to join our team and work directly ...

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Forward Deployed Engineer

Mountain View, CA · On-site

$180K - $200K/yr

The firm is led day-to-day by its Managing Partner Kirsty Tan, whose deep enterprise consulting ... About the Role We are looking for Forward Deployed AI Engineers to join our team and work directly ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

... people manage their finances every day. From automating compliance reviews to handling customer ... Requirements * 3+ years of experience in software development, AI engineering, or NLP in a ...

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All JobsRequirements Engineer JobsManager Requirements Engineer JobsManager Requirements Engineer Jobs in California

Manager Requirements Engineer information

What is the salary of requirements engineer?

The salary of a requirements engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Senior requirements engineers or those with specialized skills and certifications can earn higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What is the difference between Manager Requirements Engineer vs Requirements Engineer?

AspectManager Requirements EngineerRequirements Engineer
CredentialsBachelor's or higher in Engineering, Business, or related; certifications like IREB or CBAPBachelor's in Engineering, Computer Science, or related; certifications like IREB or CBAP
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes requirements, documents specifications, collaborates with development teams
Employer & Industry UsageUsed in software, engineering, and product development companiesCommon in software, IT, and engineering sectors

The main difference is that a Manager Requirements Engineer oversees teams and manages requirements processes, while a Requirements Engineer focuses on analyzing and documenting requirements. The manager role involves leadership and strategic planning, whereas the requirements engineer role is more technical and detail-oriented.

How does a manager requirements engineer collaborate with cross-functional teams during the project lifecycle?

A Manager Requirements Engineer works closely with stakeholders from product management, development, quality assurance, and sometimes even end users to gather and clarify requirements. Throughout the project lifecycle, they facilitate communication between teams, ensuring that all technical and business needs are accurately captured and understood. They may lead requirements workshops, oversee documentation, and mediate any discrepancies between what stakeholders want and what is technically feasible. Effective collaboration is key to avoiding misunderstandings and ensuring project success.

What skills and qualifications are needed to be a manager requirements engineer?

To thrive as a Manager Requirements Engineer, you need strong analytical abilities, expertise in systems engineering, and a solid background in requirements management, typically supported by a degree in engineering or computer science. Familiarity with requirements management tools like IBM DOORS, Jama Connect, or similar platforms, along with certifications such as INCOSE CSEP or PMI-PBA, is highly valuable. Outstanding leadership, stakeholder communication, and problem-solving skills help drive teams and foster effective collaboration across departments. These capabilities ensure that project requirements are clearly defined, traceable, and aligned with business objectives, resulting in successful project outcomes.

What is a manager requirements engineer?

Manager Requirements Engineers are professionals who oversee teams responsible for gathering, analyzing, and documenting the requirements for projects, particularly in engineering, IT, or software development. They ensure that the needs and expectations of stakeholders are accurately captured and communicated to the technical teams. In addition to managing the requirements process, they coordinate with project managers, clients, and engineers to ensure that all specifications are clear and achievable. Their role is crucial in preventing misunderstandings and ensuring the final product meets quality and functional standards.

What are the most commonly searched types of Requirements Engineer jobs in California?

The most popular types of Requirements Engineer jobs in California are:

Manager Requirements Engineer jobs near you

AI Engineer-Founding Team Member

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Full-time

Re-posted 28 days ago

Job description

ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations. Our founders combine deep industry expertise with Silicon Valley experience. ResolveGrid.ai is backed by Andrew Ng’s AI Fund and other notable investors.  ResolveGrid.ai leverages cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows.
 
Resolvegrid is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector.  This is a hybrid role that will be based in Southern California.
 
 
Responsibilities for the Role Include:
  • Define and lead the company’s AI roadmap, from foundational research to applied innovation.
  • Design and implement scalable AI/ML infrastructure, including data pipelines, model training frameworks, and evaluation systems.
  • Integrate LLMs, multimodal models, RAG systems, and diffusion models into practical enterprise workflows.
  • Partner with engineering and product teams to transform research into production-grade AI features.
  • Lead the development of internal tools and APIs that accelerate AI experimentation and deployment.
  • Champion AI safety, ethics, and responsible model use within the company.
  • Collaborate with customers to understand their domain challenges and translate them into AI-driven solutions.
  • Stay at the frontier of AI research—evaluating new architectures, foundation models, and trends in GenAI and MLOps.
  • Represent ResolveGrid.ai externally at conferences, in publications, and with strategic partners.
Requirements for the Role Include:
  • Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, or related field.
  • 8+ years of hands-on experience in AI/ML research, development, and deployment.
  • Deep expertise in LLMs, multimodal systems, retrieval-augmented generation (RAG), and AI agents.
  • Experience leading technical teams and mentoring top-tier engineering and research talent.
  • Proven track record of building AI systems from concept to production in fast-paced environments.
  • Strong command of MLOps and LLMOps, including CI/CD pipelines, monitoring, evaluation, and lifecycle management.
  • Entrepreneurial mindset: thrives in early-stage startups and can balance vision with practical execution.
  • Excellent communication skills with the ability to translate complex AI concepts to diverse audiences, from technical teams to executives and investors.
Nice to Haves for the Role Include:
  • Experience in industrial automation, robotics, or enterprise SaaS.
  • Contributions to open-source AI projects or published research.
  • Familiarity with vector databases, multimodal embeddings, and orchestration frameworks (e.g., LangChain, LlamaIndex, Ray, or Hugging Face).
  • Experience with AI compliance, safety, or model governance frameworks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.