Rapidly Growing Company Jobs in San Francisco, CA

746,653 open positions · Updated daily

Looking for Rapidly Growing Company jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Rapidly Growing Company position in the San Francisco, CA area.

Resilient Infrastructure Systems Analyst

Company: Lawrence Livermore National Laboratory

Location: Livermore, CA

Posted Oct 07, 2025

Master’s degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations…

Lead Toddler Teacher (Hollywood)

Company: Brella

Location: Los Angeles, CA

Posted Oct 07, 2025

Meet all state teaching experience, education and additional state requirements if hired including at least 12 ECE (Required). Los Angeles, CA 90038 (Required).

Executive Sous Chef

Company: Zachry Hotels

Location: San Antonio, TX

Posted Oct 07, 2025

The hotel will feature a full-service spa, a terrace pool, and five food and beverage concepts, including a rooftop restaurant and bar.

Construction Technician - Laborer

Company: Azuria Water Solutions

Location: Cerritos, CA

Posted Oct 07, 2025

We are currently offering a limited-time sign-on bonus of $4,000 for new hires with a valid CDL license, and sign-on bonuses for new hires without a current CDL…

Customer Care Representative

Company: OTS Empire, inc

Location: National City, CA

Posted Oct 07, 2025

Work alongside senior leaders to develop and implement effective sales strategies. Utilize customer service and sales techniques to educate customers about new…

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…

IT Manager – Data Operations and Platforms

Company: Marathon Petroleum

Location: San Antonio, TX

Posted Oct 07, 2025

Lead the design, development, and implementation of RPA and Agentic AI solutions to automate business processes, ensuring optimal performance and minimal…

Low-Voltage Project Manager (High-End Resi AV, Lighting, Shade, Automation)

Company: Regent5

Location: San Carlos, CA

Posted Oct 07, 2025

Love being in the field at job sites and able to knock out admin work at the desk. With a stellar reputation and a strategic position at the forefront of the…

Machine Learning Engineer - AI Research (PhD) - Early Career

Company: General Motors

Location: Mountain View, CA

Posted Oct 07, 2025

Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master’s…

Frequently Asked Questions

What are the typical salary ranges by seniority for Rapidly Growing Company roles?
Entry‑level Software Engineer: $90k–$110k. Mid‑level Engineer: $120k–$150k. Senior Engineer: $160k–$200k. Lead Engineer: $210k–$260k. Cloud Engineer ranges $100k–$140k, Data Scientist $110k–$170k, and Product Manager $130k–$190k.
What skills and certifications are required?
Core skills: Terraform, Kubernetes, AWS, GCP, Azure, Go, Rust, Python, SQL, Snowflake, dbt, React, TypeScript. Certifications: AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator, Google Professional Data Engineer, Microsoft Certified: Azure Solutions Architect.
Is remote work available?
Yes. Most Rapidly Growing Company roles support fully remote or hybrid arrangements with a 3‑day office policy for collaboration. Remote work is standard for Cloud, Backend, and Data positions.
What are the career progression paths?
Typical ladder: Associate Engineer → Engineer → Senior Engineer → Staff Engineer → Principal Engineer. Engineers can transition to Technical Lead, Platform Lead, or VP of Engineering. Data roles follow a similar path: Associate Scientist → Scientist → Senior Scientist → Lead Scientist → Principal Scientist.
What industry trends affect Rapidly Growing Company roles?
Key trends: edge AI deployment, serverless and multi‑cloud architectures, low‑code/no‑code data pipelines, quantum‑inspired algorithms, and continuous delivery with GitOps. Companies prioritize talent that can integrate ML with infra at scale.

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