Great communication starts with staying present in the conversation.👋 In this 2-minute video, explore how focused listening and curiosity can strengthen customer conversations. #ActiveListening# #CustomerCommunication# #CommunicationSkills#

Great customer conversations don’t just answer questions—they create value. 👏 In this 2-minute video, explore how better listening, questioning, and responding can build trust and improve customer interactions. #CustomerValue# #CommunicationSkills#

Ended things with a woman because I felt her communication skills weren’t good enough to build / maintain something long term only to be bombarded with a list of problems she didn’t even tell me existed

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations. The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below. The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs. However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality. Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on. What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities. [Original text: The Batch newsletter]

Stash Labs is Hiring Security Penetration Engineers! 🚀 Job Description: Conduct comprehensive penetration testing on platforms and systems. Identify and report security vulnerabilities. Provide recommendations for system security enhancements. Respond to security incidents and support incident recovery. Stay updated on the latest security trends and share insights with the team. 🔍 Requirements: 3-5 years of experience in security penetration testing. Proficiency in using tools like Nmap, Metasploit, and Burp Suite. Strong understanding of common web attack vectors (e.g., SQL injection, XSS). Excellent problem-solving and communication skills. 🔗 How to Apply: DM us your resume for consideration!

There have historically been two career paths for engineers: ic & manager. I'm offering a third path: creator. The job is... - 1/3 ai engineer - 1/3 ai creator - 1/3 ai educator Hot take: being a creator is one of the highest status jobs in a sea of abundance, where earning & nurturing trusted distribution has never been more important. But many of the best creators don't just want to create content. They want to practice what they preach, while using the learnings from their craft as the foundation for the content they create. Think @theo, @trq212, @signulll, @bcherny, @dylan522p and many others. Which is why we've created & hiring for the Applied AI, Engineer & Creator at @tenex_labs. You'll solve complex problems with AI for some of the biggest companies in the world, while leveraging those learnings to create content online & lead AI workshops for F2000 enterprises. Must-haves for the role: - Cracked 10x engineer - Strong communication skills Nice-to-haves: - A student of X - Experience creating content online - A small, but mighty following online And yes, I'm looking for a unicorn. Apply here: Tag anyone below you think could be a good fit.