- Upskilling RealityJun 11, 2026 · 3 min read
AI Product Management in 2026: The Skills That Actually Get You Hired
The best way to learn AI product management in 2026 is through focused, deployable skills training that gets you hired, such as Dexity's cohort-based sprints. To succeed in AI product management, you need to acquire skills that go beyond theoretical knowledge and focus on practical application.
Read - Career TransitionsMay 13, 2026 · 12 min read
Forward Deployed Engineer: OpenAI Launched Today. Anthropic Launched First. The Headlines Missed Who Just Won.
Two frontier labs put $5.5B behind FDE businesses in 8 days. Goldman's Marc Nachmann named the bottleneck: 'democratize access to forward-deployed engineers.' The labor market doubled in 14 days — 187 → 399 LinkedIn JDs, AI/ML requirement 71% → 80%, salary disclosure 11% → 55%. Here's the complete 2026 read on the role: skills, salary, path in, and the explicit answer to 'should I go for AI Engineer or FDE?'
Read - Upskilling RealityMay 9, 2026 · 10 min read
What Even Is an 'AI Engineer'? — 425 JDs and One Reader's Comment Later
49% of Software Engineer JDs already mention AI/ML. After scanning 425 fresh AI Engineer JDs, the role splits in two: every posting requires LLM integration, but only 36% require agentic systems on top. The label is doing more work than the boundary deserves — and the market knows it (less than 5% of JDs disclose salary).
Read - Upskilling RealityMay 3, 2026 · 10 min read
AI Infrastructure Engineer + AI Platform Engineer — The DevOps Path Into AI
Two job titles, same career transition. For DevOps and platform engineers, AI Infrastructure Engineer and AI Platform Engineer are the two most direct paths into AI engineering. The baseline — Kubernetes, Docker, Python, cloud platforms — is already on your resume. What you add depends on which layer you target. Based on 62 LinkedIn JDs across both titles, April 2026, US market.
Read - Career TransitionsMay 3, 2026 · 9 min read
Forward Deployed Engineer — The Complete 2026 Guide
FDE is not sales and not PM. It's the engineer who makes AI products actually work inside the client's environment — and is accountable when they don't. Salary: $150K–$325K. 71% of JDs require AI/ML. Best fit: SWEs or DS/MLEs with any client-facing track record.
Read - Upskilling RealityMay 3, 2026 · 9 min read
How to Pick the Right AI Course in 2026
The question isn't which course is best — it's whether you've run the steps before picking one. Five steps: outcome → profile → gap → feasibility check → execution plan. Most professionals skip Step 4. It's the one that tells you whether your target outcome is realistic before you invest months into the wrong plan.
Read - AI Career PathsMay 3, 2026 · 10 min read
How to Pick Your AI Track in 2026
The fastest AI pivot (3–6 months) and the highest-paid AI pivot ($187K avg base) target different backgrounds. Picking by salary alone routes most engineers to the wrong track. The question isn't which track is hardest — it's which track has the smallest gap from where you actually are.
Read - Career TransitionsMay 3, 2026 · 10 min read
Cybersecurity Engineering + AI: The 2026 Career Guide
In one month — March to April 2026 — AI/ML requirements in security JDs went from 8% to 19%. The gap is in protecting AI systems from a new class of attacks, not using AI for threat detection. Security engineers already own the hard part — threat modeling, trust boundaries, adversarial mindset. The AI knowledge adds on top.
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