S

Salesforce

Builds cloud software for customer relationships

Senior Forward Deployed Engineer - Hebrew Speaking

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Bachelor's
Tel Aviv-Yafo, Israel
HybridOffice schedule is flexible.
Software EngineeringAI Application Engineering

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 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, California

Founded

1999

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Simplify's Take

What believers are saying

  • AI brings paying demand: Salesforce reported nearly $3.9 billion in Agentforce and Data 360 recurring revenue pace in August 2026.
  • Giving back gets paid time: Salesforce employees receive seven paid volunteer days each year.
  • Subscriptions provide a durable base: Salesforce earned $10.8 billion from subscriptions and support in the July 2026 quarter.

What critics are saying

  • Office roles demand attendance: Salesforce's published guidelines require four to five days in person for office-based roles.
  • Expansion brought debt: Salesforce borrowed $6 billion in November 2025 to help finance the Informatica acquisition.
  • Reliability failed during Dreamforce: a September 2026 Salesforce outage disrupted affected Hyperforce environments for seven hours and 36 minutes.

What makes Salesforce unique

  • Partners extend its platform: Salesforce's AgentExchange combines third-party apps, AI agents and services with unified purchasing and billing.
  • Everyone publishes a plan: Salesforce employees write annual goals visible to colleagues through its internal V2MOM system.
  • Learning includes real practice: Salesforce's free Trailhead courses award badges after quizzes and hands-on exercises in practice accounts.

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Benefits

Health Insurance

Life Insurance

401(k) Retirement Plan

Remote Work Options

Flexible Work Hours

Parental Leave

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

-2%
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