Full Time Jobs in Menlo Park, CA

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Senior Technical Account Manager

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

The AI Center of Excellence at IBM is seeking a Senior Technical Account Manager to lead the direction and execution of AI-driven solutions. The role involves collaborating with cross-functional teams, advocating for clients, translating requirements, ensuring on-time delivery, and owning end-to-end solutions. The ideal candidate should have a relevant degree, 5+ years of experience in product management or consulting, and expertise in AI/ML, cloud platforms, and agile methodologies.

Frequently Asked Questions

What are typical salary ranges for Full Time tech roles by seniority?
Junior/Entry: $70,000–$90,000. Mid‑level: $90,000–$120,000. Senior: $120,000–$160,000. Lead Engineer: $140,000–$190,000. Principal/Architect: $170,000–$240,000. These ranges reflect US markets and vary by region and company size.
What skills and certifications are most valuable for Full Time tech positions?
Core coding languages (Java, Python, Go, JavaScript) and frameworks (Spring, React, Node.js). Tools: Kubernetes, Docker, Terraform, GitHub Actions. Cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Developer, Google Cloud Professional Data Engineer, and security credentials like CISSP or CompTIA Security+ boost credibility.
Is remote work common for Full Time tech jobs?
Yes—over 60% of Full Time listings offer fully remote or hybrid models. Companies specify location requirements in the description; many adopt a remote‑first culture with flexible hours and virtual collaboration tools like Slack, Teams, and Zoom.
What career progression paths exist for Full Time tech professionals?
Typical progression: Junior → Mid‑level → Senior → Lead Engineer → Engineering Manager → Director → VP of Engineering → CTO. Advancement focuses on deepening technical expertise, leading projects, mentoring, and developing business acumen.
What industry trends are shaping Full Time tech roles today?
AI/ML integration, cloud‑native architecture, DevSecOps pipelines, serverless computing, microservices, and data privacy regulations (GDPR, CCPA). Companies prioritize sustainability, remote‑first work, and continuous learning to stay competitive.

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