S

Salesforce

Builds cloud software for customer relationships

Senior Forward Deployed Engineer - Hebrew Speaking

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • Have 10+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
  • Have a degree in Computer Science or a related field.
  • Be expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • Have integrated large language models into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
  • Have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
  • Bring deep Salesforce platform expertise: Agentforce, Apex, Lightning Web Components, Flows, and Salesforce APIs.
  • Have mentored technical talent and created reusable assets such as frameworks, playbooks, and internal tooling.
  • Have high-level proficiency in Hebrew and English.
  • Be able to travel to customer sites as needed to ensure client success.

Responsibilities

  • Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers, from architecture decisions through production handoff.
  • Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns; create reference implementations for other Builders.
  • Own the data lifecycle, including model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
  • Resolve technical blockers involving data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • Build and maintain agent performance dashboards and customer key performance indicator reporting to track deployment health and business outcomes across engagements.
  • Develop proofs-of-concept and minimum viable products quickly, deciding which decisions can be deferred and which must be correct from the outset.
  • Codify customer-work learnings into patterns, reusable assets, and internal frameworks that serve as organizational playbooks.
  • Mentor other engineers through code reviews, pair sessions, and shared work.
  • Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
  • Surface field insights, gaps, and edge cases directly to Product and Engineering to inform the Agentforce roadmap.
  • Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions that ship.
  • Pilot emerging AI tools, experiment with new models and frameworks, and share learnings with the team and customers.

Desired Qualifications

  • Salesforce certifications such as Administrator, Platform Developer I/II, Agentforce Specialist, or System Architect.
  • Familiarity with DevOps and continuous integration/continuous delivery practices, observability tooling, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
  • A track record of influencing enterprise software product roadmaps through field engineering insight.
  • Open-source contributions, published technical writing, or conference presentations.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

Recently Posted Jobs

Explore more opportunities at Salesforce

See more jobs