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Remote Google Partnerships Jobs in California (NOW HIRING)

Brex

Private Equity Partnerships Associate

San Francisco, CA · On-site +1

$103K - $129K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ... Ability to translate data into clear case studies, insights, and presentations using Google Slides ...

New

Field Materials

$111K - $137K/yr

... and Google. Our company is the people we hire. We aspire to build a team of smart, high-caliber ... Partner with leadership to maintain and improve our security posture, support SOC 2 readiness and ...

Field Materials

IT Manager (Remote, Part-time)

San Francisco, CA · On-site +1

$111K - $137K/yr

... and Google. Our company is the people we hire. We aspire to build a team of smart, high-caliber ... Partner with leadership to maintain and improve our security posture, support SOC 2 readiness and ...

21Hhs

Human Resources Business Partner

Roseville, CA · On-site +1

Positive reviews on Yelp, Google, Glassdoor, and Indeed underscore both our high standard of care ... or remote workforce is a plus Healthcare or home health experience is a plus Benefits ...

21Hhs

HR Business Partner

Roseville, CA · On-site +1

Positive reviews on Yelp, Google, Glassdoor, and Indeed underscore both our high standard of care ... or remote workforce is a plus Healthcare or home health experience is a plus Benefits ...

21Hhs

HR Business Partner

Roseville, CA · On-site +1

Positive reviews on Yelp, Google, Glassdoor, and Indeed underscore both our high standard of care ... or remote workforce is a plus Healthcare or home health experience is a plus Benefits ...

21Hhs

Human Resources Business Partner

Roseville, CA · On-site +1

Positive reviews on Yelp, Google, Glassdoor, and Indeed underscore both our high standard of care ... or remote workforce is a plus Healthcare or home health experience is a plus Benefits ...

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All JobsGoogle Partnerships JobsRemote Google Partnerships JobsRemote Google Partnerships Jobs in California

Remote Google Partnerships information

What is a Remote Google Partnerships?

Remote Google Partnerships refer to roles or collaborations where individuals or companies work with Google as official partners, often in areas like advertising, cloud services, or technology solutions, but do so from a remote location. These partnerships can include becoming a Google Partner or Google Cloud Partner, allowing you to access specialized resources, training, and support from Google. Many positions or partnership opportunities are now remote, enabling people to work with Google without being physically present at their offices. These roles often focus on digital marketing, cloud solutions, or business development. Remote Google Partnerships provide flexibility and open up opportunities for global collaboration with Google's platforms and services.

How does a Remote Google Partnerships role typically collaborate with internal teams and external partners to achieve business objectives?

In a Remote Google Partnerships role, collaboration is key to success. You will regularly coordinate with internal teams such as sales, marketing, and product management to align partnership strategies with broader company goals. Externally, you'll engage with Google representatives and other partner organizations to negotiate agreements, launch joint initiatives, and resolve issues. Effective communication and project management skills are essential, as most interactions happen virtually across different time zones, requiring proactive organization and clear documentation.

What are the key skills and qualifications needed to thrive in a Remote Google Partnerships role, and why are they important?

To excel in a Remote Google Partnerships position, you need strong relationship management, digital marketing knowledge, and experience in business development, often supported by a relevant degree. Familiarity with Google Ads, Google Analytics, CRM systems, and partnership management platforms is typically required, along with certifications like Google Ads certification. Outstanding communication, negotiation, and collaborative problem-solving skills help you build and sustain successful partnerships remotely. These competencies are crucial for driving mutual business growth, ensuring partner satisfaction, and achieving organizational goals in a virtual environment.

What is the difference between Remote Google Partnerships vs Remote Google Ads Specialist?

AspectRemote Google PartnershipsRemote Google Ads Specialist
Required CredentialsGoogle Partner certifications, industry knowledgeGoogle Ads certifications, advertising expertise
Work EnvironmentCollaborating with Google, clients, and internal teamsManaging ad campaigns, analyzing data, optimizing ads
Employer & Industry UsageGoogle, digital marketing agencies, tech firmsDigital marketing agencies, advertising firms, brands
Search & Comparison IntentUnderstanding partnership roles, collaboration opportunitiesRunning ad campaigns, ad performance, optimization

Remote Google Partnerships roles focus on managing relationships with Google, leveraging certifications, and collaborating with clients and internal teams. In contrast, Remote Google Ads Specialists primarily handle ad campaign creation, optimization, and performance analysis. Both roles require Google certifications but serve different functions within digital marketing and advertising ecosystems.

What are the most commonly searched types of Google Partnerships jobs in California?

The most popular types of Google Partnerships jobs in California are:

What are popular job titles related to Remote Google Partnerships jobs in California?

For Remote Google Partnerships jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Google Partnerships jobs in California look for?

The top searched job categories for Remote Google Partnerships jobs in California are:

What cities in California are hiring for Remote Google Partnerships jobs?

Cities in California with the most Remote Google Partnerships job openings:

Remote Google Partnerships jobs near you
Infographic showing various Remote Google Partnerships job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 4 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Justeen at (224)-394-4903
Title: Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote
Duration: 6 Months with possible for extension
Location: Remote
Candidates must be available to work West Coast (PST) hours.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Day to Day Responsibilities
  • RAG & Prompt Engineering: Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance in product development.
  • High-Performance API Engineering: Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses to front-end UIs without backend timeouts.
  • Vector Database Infrastructure: Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies to capture information from diverse engineering sources (PDFs, design docs, regulatory guidelines).
  • Data Extraction & Structuring Pipelines: Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents for LLM training, grounding, and runtime query execution.
  • LLM Fine-Tuning & Training: Fine-tune and train generative AI models using client's engineering data and domain knowledge to create high-accuracy, domain-specific models.
  • GenAI Application & Tool Development: Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces so internal engineers can query knowledge bases and analyze data.
  • Automated Requirements Generation: Develop backend functionalities to automatically generate technical requirements from design documents, user stories, and system specification files.
  • Documentation & Knowledge Transfer: Thoroughly document architecture, code, REST endpoints, and model training procedures to enable seamless knowledge transfer to client's internal teams.
  • Cross-Functional Collaboration: Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows.
  • AI Guardrails, MLOps & Cost Governance: Implement hallucination checks, PII masking, and guardrails (e.g., NeMo Guardrails) for medical device context. Track token usage, latency, and costs using LangSmith or Vertex AI monitoring.
  • Collaborate closely with engineers and cross-functional teams to design and develop AI solutions.
  • Develop and integrate Generative AI applications and APIs.
  • Work with large datasets, document processing, and data pipelines.
  • Participate in problem-solving, solution design, and technical discussions.
  • Communicate effectively with team members and stakeholders.

Must-Have Qualifications :
  • Relevant Experience & STEM Foundation: 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years.
  • Google Gemini / Vertex AI (Non-negotiable): Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration into production AI services. Hands-on experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes).
  • Languages & AI Libraries: Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith) for building autonomous LLM agents, tools, and RAG pipelines.
  • Agent Building & Tool Calling: Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data.
  • Context Engineering & RAG: Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector). Clear understanding of advanced RAG architecture including Hybrid Search (Vector + Keyword), Re-ranking models, and semantic caching.
  • Unstructured Data Handling (Non-negotiable): Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, regulatory files) for LLM training and usage.

Role Information
  • Generative AI Engineer role.
  • Experience in API development.
  • Hands-on experience with Google Gemini and Vertex AI.
  • Knowledge of Agentic AI frameworks and architectures.
  • Strong Python development skills, including experience with LangChain and related AI frameworks.
  • Open to candidates from any industry domain.

Required Skills :
  1. Full Stack Engineering - Building applications for AI-powered services (Backend APIs + Front-End Integration).
  2. Generative AI & LLM Platforms - 2+ years building RAG pipelines & LLM apps using Python, LangChain, and LangSmith.
  3. Agent Building & Unstructured Data - Building AI agents/tool-calling systems in Python and handling unstructured, multi-source data extraction (PDFs, docs).
  4. Strong hands-on experience in Artificial Intelligence and Generative AI
  5. Python programming expertise.
  6. Experience with LangChain and Agentic AI frameworks.
  7. Understanding data handling to pull data from PDFs, design docs, regulatory files

Preferred Skills :
  1. Direct experience architecting and serving custom REST APIs.
  2. Experience in regulated / compliance-sensitive domains (e.g., healthcare / medical device guidelines like FDA, ISO 13485).
  3. Experience integrating multiple LLM APIs beyond a single provider (OpenAI, Bedrock, Claude, or similar).

Additional Preferred Skills
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask).
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485).
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude).
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration).

Education Requirements:
  • Minimum Bachelors in Software/Computer/IT/Systems/Biomedical Engineering + 3 years

Required Testing:
  • Technical evaluation of Python proficiency, RAG architecture concepts, and API/Agent design.

Software Skills Required:
  • Languages: Python (AsyncIO, OOP), SQL.
  • AI & Agent Frameworks: PyTorch, LangChain, LangSmith, Vertex AI SDK.
  • API & Web Frameworks: FastAPI, Flask, REST APIs, Server-Sent Events (SSE).
  • Databases & Search: Milvus, Pgvector, Qdrant, Redis (caching).
  • Front-End Integration: Streamlit, Gradio, basic React/Next.js.
  • Testing & Guardrails: pytest, JUnit, LangSmith evaluation, NeMo Guardrails.
  • DevOps & Cloud: Docker, GCP (Vertex AI, Cloud Run, GKE), Git.

Required Certifications:
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer) considered a plus.

Interview
  • Number of Interviews: 1,
  • Web Conference (Zoom/ TEAMs)
  • Live problem-solving and technical exercise during the interview.

Apply