Salesforce

3 weeks ago

Forward Deployed Engineer - Czech Speaker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Own end-to-end delivery of agentic AI solutions inside enterprise customer environments, partnering with a Deployment Strategist to take architecture decisions through production handoff. Serve as senior technical authority, mentor engineers, and set engineering standards for scalable Agentforce deployments. Build agentic systems, integrate LLMs with guardrails, manage data pipelines across Salesforce Data 360, Snowflake, and Databricks, and surface field insights to shape the Agentforce roadmap.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Partner with a Deployment Strategist to own customer outcomes end-to-end, from architecture decision to 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.
•Own the data lifecycle for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
•Resolve complex technical blockers across data integration, model deployment, orchestration, and performance regressions.
•Mentor engineers through code reviews and pair sessions, and codify learnings into reusable assets and playbooks.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production using frameworks like LangChain or LlamaIndex, with prompt engineering and responsible AI practices in customer contexts.
•Strong data modeling, processing, and analytics experience with proficiency across Salesforce Data 360, Snowflake, or Databricks.
•Deep Salesforce platform expertise including Agentforce, Apex, LWC, Flows, and Salesforce APIs.

Experience:6+ yearsEnterprise AICloudSaaSLLM integrationData engineeringSalesforce

Education:Bachelor's in Computer Science

Skills:MentorshipTechnical leadershipCommunicationEntrepreneurial mindsetProblem-solving

Certifications:Salesforce AdministratorPlatform Developer I/IIAgentforce SpecialistSystem Architect

Languages:EnglishCzech

Tech Stack:PythonJavaScript/TypeScriptJavaApexAgentforceCursorClaudeVibesLLMsLangChainLlamaIndexPrompt engineeringSalesforce Data 360SnowflakeDatabricksLWCFlowsSalesforce APIs

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Forward Deployed Engineer - Czech Speaker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Partner with a Deployment Strategist to own customer outcomes end-to-end, from architecture decision to 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.
•Own the data lifecycle for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
•Resolve complex technical blockers across data integration, model deployment, orchestration, and performance regressions.
•Mentor engineers through code reviews and pair sessions, and codify learnings into reusable assets and playbooks.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production using frameworks like LangChain or LlamaIndex, with prompt engineering and responsible AI practices in customer contexts.
•Strong data modeling, processing, and analytics experience with proficiency across Salesforce Data 360, Snowflake, or Databricks.
•Deep Salesforce platform expertise including Agentforce, Apex, LWC, Flows, and Salesforce APIs.

Experience:6+ yearsEnterprise AICloudSaaSLLM integrationData engineeringSalesforce

Education:Bachelor's in Computer Science

Skills:MentorshipTechnical leadershipCommunicationEntrepreneurial mindsetProblem-solving

Certifications:Salesforce AdministratorPlatform Developer I/IIAgentforce SpecialistSystem Architect

Languages:EnglishCzech

Tech Stack:PythonJavaScript/TypeScriptJavaApexAgentforceCursorClaudeVibesLLMsLangChainLlamaIndexPrompt engineeringSalesforce Data 360SnowflakeDatabricksLWCFlowsSalesforce APIs

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor