Cutting-Edge Technology Jobs in San Francisco, CA

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

Veterinarian

Company: Banfield Pet Hospital

Location: Rancho Cucamonga, CA

Posted Jan 25, 2025

Network Production Engineer - Backbone

Company: Meta

Location: Menlo Park, CA

Posted Jan 25, 2025

Enterprise SaaS Account Executive - US West

Company: VISO Trust

Location: San Francisco, CA

Posted Jan 25, 2025

VISO Trust, a venture-backed high-growth B2B SaaS startup in the Third Party Risk Management (TPRM) space, is seeking an experienced sales leader to drive its next phase of growth. The Enterprise Account Executive will be responsible for closing SaaS subscription revenue with new and existing midmarket and large enterprise customers. The company's AI-driven platform automates and accelerates traditional vendor risk assessments, providing comprehensive risk management at scale. VISO Trust is trusted by some of the largest financial technology and healthcare organizations globally, with a nearly 100% customer retention rate over the past four years. The role involves collaborating with founders, seeking out and landing deals with new enterprise target accounts, and driving expansion opportunities within the existing customer base.

Pharmacy Operations Manager

Company: Walgreens

Location: San Ramon, CA

Posted Jan 25, 2025

Salesforce Administrator

Company: SafelyYou

Location: San Francisco, CA

Posted Jan 25, 2025

SafelyYou, a US-based company founded by UC Berkeley AI Research Lab, has raised $60m in 2021. Their mission is to support care for those with Alzheimer's, dementia, and cognitive impairments. Their first product reduces falls, a leading cause of hospitalization for dementia patients. They've received funding from top VC firms and grants from NIH and NSF. As a Salesforce Administrator, you'll manage and enhance the Salesforce platform, collaborate with stakeholders, and ensure data integrity. The ideal candidate has a Bachelor's degree, Salesforce Administrator experience, strong project management skills, and excellent communication abilities. SafelyYou offers a competitive compensation package, including stock options, benefits, and growth potential.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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