Challenging Opportunities For You To Learn And Grow Professionally Jobs in San Francisco, CA

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the San Francisco, CA area.

Software Engineer - Backend Systems

Company: Apple

Location: Cupertino, CA

Posted Oct 07, 2025

Experience leading the technical development of larger features and collaborating across organizational boundaries.

Manager, Product Marketing - New Content Experiences

Company: Netflix

Location: Los Angeles, CA

Posted Oct 07, 2025

Build go to market strategy for feature launches - develop key audiences, channels, countries to activate, messages, etc.

Night janitor

Company: Servi-tek

Location: Los Angeles, CA

Posted Oct 07, 2025

Maintain cleanliness in restrooms, break rooms, and common areas by restocking supplies and sanitizing surfaces.

Chef

Company: Kitchens for Good

Location: San Diego, CA

Posted Oct 07, 2025

Maintain kitchen budget and cost controls. Inspect and maintain kitchen equipment, recommending repairs or replacements as needed.

Executive Chef

Company: Agemark

Location: Glendale, CA

Posted Oct 07, 2025

Exceptional leadership skills; able to inspire, coach, and develop a motivated culinary team. Manage inventory, ordering, and cost controls to meet budget goals…

Development Chef

Company: CH Guenther & Son

Location: San Antonio, TX

Posted Oct 07, 2025

Degree in Food Science, Baking Science, or other technical field from an accredited institution is preferred. Support Sales & Marketing departments by providing…

Data Scientist- Data Cloud

Company: Apple

Location: San Diego, CA

Posted Oct 07, 2025

In your role as a Data Scientist you will: * Design and implement complex analytical models using dbt, SQL, and Python * Optimize and create data extraction…

Project Manager (On-Site)

Company: Wilshire Law Firm

Location: Los Angeles, CA

Posted Oct 07, 2025

Oversee project timelines, budgets, and resources; conduct cost analysis and ensure adherence to approved budgets. PMP (or equivalent) certification is a plus.

DORA RISTORANTE - SOUS CHEF

Company: DORA RISTORANTE (NEW OPENING)

Location: La Jolla, CA

Posted Oct 07, 2025

Uphold the highest standards of food safety, food handling, and sanitation requirements to ensure the health and safety of staff and guests.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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