Senior Forward Deployed Engineer

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Climb

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2026

💼 Consulting

🏢 Enterprise

☁️ SaaS

Consulting • Enterprise • SaaS

Climb is the Databricks-native Data & AI consultancy that builds production-grade enterprise AI by focusing on the data foundation, outcome-aligned fixed-scope engagements, and senior delivery teams. They offer Databricks Basecamps—guided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeks—plus solutions, fixed-price projects, and dedicated teams. Climb emphasizes Databricks engineering, governance (Unity Catalog), migrations, AI/ML, next-gen analytics, and agent deployments, with reusable IP (Climb AI Runtime), senior Databricks-certified staff, and measurable KPIs for each engagement.

📋 Description

• Own the workstreams and components you are responsible for, from design through production, inside the client's environment. • Participate in discovery, architecture reviews, and stakeholder interviews on your area of the engagement; turn vague problems into scoped, deliverable work. • Make the build and design decisions appropriate to the client's environment and constraints on the work you own, and stand behind them. • Build the system: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load. • Manage scope actively on your workstreams: surface risk and creep before it becomes a problem, not after. • Transfer capability that lasts: documented, runnable, maintainable software that works after you leave. • Build trusted relationships with client stakeholders while supporting the Architect or AI Lead in overall account ownership. • Contribute reusable patterns and lessons learned that improve future delivery.

🎯 Requirements

• 5+ years of engineering or technical delivery experience, with meaningful time in embedded or client-facing contexts. • Proven delivery ownership: clear evidence you've taken client-facing work from scoping through production with limited supervision. • Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS, Azure, or GCP), backend systems at scale, or production data engineering. • Demonstrated ability to make independent technical decisions and own your own delivery quality inside a client environment. • Strong communicator: technically precise with engineers, clear and confident with VP- and C-level leadership, and able to adjust depth without losing accuracy. • High tolerance for ambiguity; consistently delivers value before every requirement is defined.

🏖️ Benefits

• Competitive base salary with performance-based bonuses • MacBook Pro and swag kit so you can do your best work • Comprehensive health, dental, and vision insurance • Generous holidays, flexible PTO, and remote-first work environment • Professional development budget including Databricks and cloud certifications • Spot bonuses for relevant certifications • Conference attendance and thought leadership opportunities • Collaborative, low-ego culture with direct access to leadership • Opportunity to shape a growing practice from the ground floor