Maybe you built a small automation that drafts follow-ups, showed one colleague, and never mentioned it again because it was not your job. Or maybe you automated the boring half of a group project and told nobody, because it felt like cheating.
Those moments have a title now. Anthropic is hiring a Staff Software Engineer onto a team called Go-to-Market AI Engineering. The work is building and overseeing AI agents that automate sales operations and keep CRM records and revenue pipelines current. The requirement that narrows the field, as Business Insider reported, is engineering experience alongside real familiarity with sales workflows. The figure will not transfer here, and the skill combination will. But before that, one announcement before today's piece.
In response to strong demand, we are running the NVIDIA AI Developer Bootcamp, an NVIDIA-certified workshop, in partnership with De La Salle University, Manila.
It runs three days and stays hands-on throughout:
1. Deep learning fundamentals. The core techniques and tools, worked through rather than lectured.
2. Data types and model architectures. Practice with the kinds you will actually meet at work, not textbook cases.
3. Transfer learning. Building a model by starting from one that has already learned the general patterns and adapting it to your own data, which is how most working models get built today.
Participants who complete all three days receive an NVIDIA certification.
When: 9 to 11 October 2026, Friday to Sunday, 9 AM to 6 PM
Where: De La Salle University, Manila
How the commercial half gets learned
Rarely in a course. It tends to come from sitting close enough to a revenue problem to see how the numbers are actually produced, which is often not how the process document describes it.
What is usually missing is the agent layer: knowing how to hand a repetitive judgement to a system, and how to check afterwards that it was done correctly. That is the piece a course can teach, because it is the same in any industry.
Something concrete to write down this week: the three manual steps, in any process you touch, that nobody currently owns. That list is the same skill at a much smaller scale.