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Senior Forward Deployed Engineer – Technical Builder
SalesforceSenior Forward Deployed Engineer responsible for delivering agentic AI solutions for Salesforce. Leading complex projects and mentoring engineers while collaborating closely with customer teams.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScriptTypeScriptJavaApexdata modelingdata processingdata analyticsAI solutionsproofs-of-concept
Soft Skills
mentoringclear communicationentrepreneurial mindsetget-things-done attitudecollaborationproblem-solvingtechnical depthinsight sharing
Tools & Technologies
SalesforceAgentforceSalesforce APIsLWCFlowsAI toolsMVPsperformance dashboardsKPI reporting
Certifications & Qualifications
Degree in Computer Science
Industry Keywords
enterprise AIcloud environmentsSaaSdata lifecyclemodel deploymentintegrationorchestrationscalable production systems
Tech Stack
Tools & technologiesCloudJavaJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers
- Design and ship agentic systems on the Agentforce platform
- Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications
- Resolve technical blockers in data integration, model deployment, and orchestration breakdowns
- Build and maintain agent performance dashboards and customer KPI reporting
- Develop proofs-of-concept and MVPs quickly
- Codify learnings into patterns, reusable assets, and internal frameworks
- Mentor other engineers through code reviews and pair sessions
- Provide technical depth on at-risk or strategically critical deployments
- Surface field insights directly to Product and Engineering
Requirements
What you’ll need- Fluent in German and English
- 6+ years of software engineering or technical delivery experience
- Proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments
- Degree in Computer Science or a related field
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex
- Experience integrating LLMs into production
- Deep experience in data modeling, processing, and analytics
- Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs
- Entrepreneurial, get-things-done mindset focused on fast, impactful delivery
- Clear communication with engineering peers, customer architects, and executive stakeholders
- Enthusiasm for piloting new AI tools and models
- Willingness to travel ~25% of the time
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options