Ai-Enhanced Technology Jobs in San Francisco, CA

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

Welder Journeyman - 2nd Shift

Company: RSA Engineered Products, LLC

Location: El Cajon, CA

Posted Mar 07, 2025

Be willing to work at assigned jobs in or outside the welding field. Work by oneself or with others to develop guidelines for the production of welded…

Senior Product Manager, Dev Solutions

Company: Atlassian

Location: San Francisco, CA

Posted Mar 01, 2025

Atlassian offers a remote position for a Product Manager in the Dev Solutions team. The role involves collaborating with cross-functional teams to lead the success of Compass, shaping the future of collaboration for millions of platform and software engineers. The ideal candidate will have 5+ years of experience in Product Management, familiarity with engineering APIs, integrations, and event-driven systems, and market knowledge in software engineering, DevOps, or IT operations. The role is eligible for competitive compensation and benefits, with base pay ranges varying by geographic pay zone. Atlassian values diversity and inclusion, ensuring that all perspectives and experiences are incorporated into their products and culture.

Senior Technical Accountant - Hybrid

Company: Vaco by Highspring

Location: La Jolla, CA

Posted Mar 02, 2025

Assist with month-end and quarter-end close activities, including variance analysis, journal entry reviews, and preparing/executing executive presentations.

Back End Developer- AI Trainer

Company: DataAnnotation

Location: San Antonio, TX

Posted Mar 03, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Staff Networking Software Engineer

Company: General Motors

Location: Mountain View, CA

Posted Mar 06, 2025

Leads comprehensive design analysis of design solution. BS/MS/PhD in Computer Science or electrical engineering (or equivalent experience).

Software Engineer, Data Platform (Lead)

Company: Benchling

Location: San Francisco, CA

Posted Mar 01, 2025

Benchling, a leading biotechnology company, is seeking a Senior Software Engineer to design and implement scalable multitenant services and APIs. The role involves end-to-end project ownership, defining technical vision, collaborating with cross-functional teams, and ensuring high availability, performance, and security. The ideal candidate should have at least 8 years of platform experience, strong technical vision, cross-functional partnership skills, and expertise in distributed systems, real-time data technologies, infrastructure management, and database expertise.

Treasury Management Officer - Technology and Disruptive Commerce

Company: JPMorganChase

Location: San Francisco, CA

Posted Mar 01, 2025

The job posting is for a Treasury Management Officer in Commercial Banking. The role involves generating new treasury management business, maintaining client relationships, and developing a localized market and product strategy. Key responsibilities include growing revenue, creating strategic dialogues, collaborating with bankers and clients, leading business process reviews, raising new solution ideas, and delivering thought leadership. Required qualifications include 6+ years of cash management sales and relationship management experience, strong selling and negotiation skills, knowledge of Treasury Service products, excellent communication skills, and the ability to develop strong client relationships. Preferred qualifications include a Bachelor's degree and a Certified Treasury Professional designation.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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