Highly Motivated Jobs in San Francisco, CA

Junior (0‑2 years) in AI/ML: $80k–$110k; Mid‑level (3‑5 years) in DevOps or Cybersecurity: $110k–$150k; Senior (5+ years) in Product Ownership or Lead ML Engineering: $150k–$200k+ depending on company size and location.

Core tech stacks: Python, TensorFlow, PyTorch, Go, Rust, Kubernetes, and AWS or GCP. Certifications that boost credibility: TensorFlow Developer, AWS Certified DevOps Engineer, Certified Kubernetes Administrator, CISSP for security roles, and PMP for product ownership.

The majority offer flexible arrangements: 60% hybrid teams with 2‑3 onsite days, 30% fully remote, and 10% on‑site for high‑security or product‑sandpit roles that require close collaboration.

Typical trajectories: Engineer ➜ Lead Engineer ➜ Engineering Manager ➜ Director of Engineering ➜ VP of Technology. In product roles, progression follows Product Owner ➜ Lead Product Manager ➜ Head of Product ➜ Chief Product Officer.

AI democratization through low‑code ML platforms, edge‑computing for real‑time analytics, regulatory tech for compliance automation, and industry 4.0 initiatives that require rapid prototyping and cross‑functional execution.