Innovative Technology Jobs in San Francisco, CA

529,525 open positions · Updated daily

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

Marketing Manager, BioBridge Global

Company: BioBridge Global

Location: San Antonio, TX

Posted Apr 07, 2025

It is essential that the incumbent have a valid driver's license and be at least 18 years old with a good driving record to meet organization driving standards.

Project Manager

Company: Pathways Management Group

Location: Pasadena, CA

Posted Apr 05, 2025

We are committed to partnering with state and local school districts to strengthen communities and provide high-quality educational programs for at-risk and…

Window and Door Specialist

Company: Hayward Lumber

Location: Redwood City, CA

Posted Apr 05, 2025

Develop and maintain strong relationships with contractors, builders, and homeowners to understand their needs and provide tailored solutions.

Lead Carpenter

Company: Cal State University (CSU) San Jose

Location: San Jose, CA

Posted Apr 07, 2025

Ability to inspect work performed by others to ensure adherence to requirements and industry practices Ability to ensure shop, equipment, and tools are properly…

AI Engineer

Company: Capsule

Location: Los Angeles, CA

Posted Apr 08, 2025

In this role, you will work closely with our founders and product and engineering teams to design, implement, and deploy ML models that power new and improved…

Data Scientist

Company: Victory Capital Management

Location: San Antonio, TX

Posted Apr 04, 2025

You will collaborate with the broader team to implement machine learning algorithms that support our business units, design data experiments, and develop…

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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