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Cortex Jobs in California (NOW HIRING)

Photon

Cortex Product Owner

San Francisco, CA · On-site

Cortex Product Owner - Enterprise Machine Learning Platform (Google Cloud Platform) Location : San Francisco, CA (Onsite) We are seeking a Cortex Product Owner with strong expertise in enterprise AI ...

Robinhood

Staff Product Manager, Cortex

Menlo Park, CA · On-site

Today, Cortex helps millions of customers research investments, analyze their portfolios, and hone their trades through natural conversation. Tomorrow, it will deliver holistic financial planning and ...

Robinhood

Staff Product Manager, Cortex

Menlo Park, CA · On-site

Today, Cortex helps millions of customers research investments, analyze their portfolios, and hone their trades through natural conversation. Tomorrow, it will deliver holistic financial planning and ...

Snowflake

Senior AI Engineer - Cortex Code

Menlo Park, CA · On-site

$200K - $287K/yr

Cortex Code in Action: Live Demos + AMA . Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering ...

Photon

Product Owner - Cortex AI

San Francisco, CA · On-site

Cortex Product Owner Enterprise Machine Learning Platform (Google Cloud Platform) San Francisco, CA (Onsite) We are seeking a Product Owner with strong expertise in enterprise AI/ML platforms ...

Photon

Cortex ML Architect / Lead Engineer

San Francisco, CA · On-site

$65 - $89.25/hr

Cortex Principal / Lead ML Engineer - Enterprise Machine Learning Platform (Multi-Cloud) Location : San Francisco, CA (Onsite) We are looking for a seasoned architect with hands-on experience ...

Snowflake

Senior AI Engineer - Cortex Code

Menlo Park, CA · On-site

$123K - $169K/yr

Responsibilities : • Own features end-to-end for Snowflake Cortex Code products. Build agentic workflows, coding harnesses, evaluation pipelines. • Build enterprise-grade context engineering ...

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Cortex information

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

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

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What professions make 200,000 a year without a degree?

Roles such as commercial pilots, real estate brokers, and certain sales managers can earn $200,000 or more annually without requiring a college degree. Success in these professions often depends on experience, skills, licensing, or certifications rather than formal education.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are less likely to be fully automated by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot easily replicate. Continuous learning and adaptability are important for job security in an evolving AI landscape.

What is a Cortex job?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

Is Cortex a good company to work for?

Cortex offers roles that typically involve skills in data analysis, machine learning, and software development. The company's work environment and benefits vary, so researching employee reviews and company culture can provide more insight into job satisfaction. Overall, it is important to consider individual career goals and the specific role when evaluating employment at Cortex.

How much does Cortex pay?

The salary for a Cortex role varies depending on the position, experience, and location. Entry-level positions typically start around industry standard rates, while more experienced roles can offer higher compensation, often complemented by benefits and performance bonuses.
What are the most commonly searched types of Cortex jobs in California? The most popular types of Cortex jobs in California are:
What are popular job titles related to Cortex jobs in California? For Cortex jobs in California, the most frequently searched job titles are:
What job categories do people searching Cortex jobs in California look for? The top searched job categories for Cortex jobs in California are:
What cities in California are hiring for Cortex jobs? Cities in California with the most Cortex job openings:
Cortex jobs near you
Infographic showing various Cortex job openings in California as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Cortex Product Owner

Cortex Product Owner

Photon

San Francisco, CA • On-site

Other

Posted 3 days ago

Job description

We are PHOTON, one of the world's largest Digital Platform Engineering Company providing a combination of Strategy Consulting, Creative Design and Technology Services, and we work with 40% of the Fortune 100 companies.

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ;/p>

We are looking for experienced Cortex Product Owner to join Photon at San Francisco, CA (Onsite)

Position : Cortex Product Owner - Enterprise Machine Learning Platform (Google Cloud Platform)


Location : San Francisco, CA (Onsite)

We are seeking a Cortex Product Owner with strong expertise in enterprise AI/ML platforms, specifically on Google Cloud.

Key qualifications include:
Deep knowledge of Google Cloud Platform servicesincluding Vertex AI, BigQuery, GKE, Cloud Composer, and Dataflow

Solid understanding of data security, IAM, and governance controls

Experience with machine learning lifecycle management (MDLC)on Google Cloud Platform (experience with other platforms is a plus)

Familiarity with model validation and risk management practices

Strong communication, stakeholder management, and analytical skills

Proficiency in GenAI concepts, including prompt design and contextualization

Apply