Director, Forward Deployed Engineering
Company shown to members 🔒 · Remote · US, Latin America only
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First recorded by Psst: 20 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- US, Latin America only
- Skills and tools
- python, typescript, aws, gcp, azure, ci/cd
- Degree or licence
- Mentioned (certified)
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Job details
- Where you can work
- United States, Mexico, Brazil, Argentina, Colombia, Chile, Peru, Costa Rica, Uruguay, Ecuador, Dominican Republic, Guatemala, Panama, Venezuela, Bolivia, Paraguay, El Salvador, Honduras, Nicaragua
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 19 October 2026
- First recorded by Psst
- 20 October 2026
- Last checked at the source
- 10 November 2026
About the job
About the company
We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps.
We're looking for a hands-on engineering leader who is as comfortable in a client workshop as in a pull request. You'll build and coach a team that turns ambiguous business problems into working AI systems in production. You'll also spot where the next phase of work lives.
Key Responsibilities
- Lead the team: Hire, coach, and grow forward deployed engineers. Set a high bar for technical quality, client communication, and ownership.
- Own delivery: Be accountable for scope, quality, timelines, and outcomes across multiple concurrent client engagements.
- Be the technical voice with clients: Run demos, architecture sessions, and delivery workshops that show clients what Claude Code and Claude Cowork can do in their environment.
- Build alongside the team: Stay close to the code. Prototype, review designs, and unblock the team on agentic workflows, tool use, MCP integrations, and evaluation.
- Find the next phase: Spot expansion opportunities in the work and partner with account leadership to shape and scope them.
- Establish repeatable practices: Build reusable patterns, accelerators, and playbooks so every engagement starts further ahead than the last.
- Collaborate across the business: Work with data, cloud, and digital engineering teams to deliver end-to-end outcomes.
What We're Looking For
Required
- 15+ years in software engineering, with 5+ years leading engineers or technical teams.
- Experience in client-facing delivery: consulting, solutions engineering, or forward deployed work.
- Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation.
- Strong Python or TypeScript skills, plus solid API design, CI/CD, and cloud fundamentals (Azure, AWS, or GCP).
- Proven ability to explain complex technical ideas clearly to executives and engineers alike.
- A track record of taking ambiguous problems to production.
Preferred
- Hands-on experience with Claude Code, Claude Cowork, the Anthropic API, or the Model Context Protocol.
- Experience with AI governance, security, and responsible-use practices in enterprise settings.
- Background in data science or formal engineering training.
- Experience in a consulting or professional services environment.
Core Qualities
- Ownership: You take responsibility for outcomes, not just tasks.
- Curiosity and courage: You ask the real questions and challenge assumptions, politely but firmly.
- Coaching mindset: You grow people and share credit.
- Adaptability: You're comfortable when the tools change monthly.
- Pragmatism: You ship what works.
Interview process
Interview with Recruiter (30 min)
1st Technical Interview (45 min)
2nd Technical Interview (45 min)
Final Interview with VP, AI Applied Solutions
Case Studies
The company Applied Anthropic Practice
About the company
The company is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
The company is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. The company considers all qualified applicants.
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