Front

1 month ago

AI Engineer - GTM / Operations (Contract)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design and ship multi-step production-grade AI workflows that automate complex GTM (go-to-market) processes end-to-end, integrating with core business systems. You’ll own the agent architecture from requirements to production, collaborating with GTM teams to ensure reliability, security, and real-user impact in a high-autonomy, contract role.

Location: Santiago

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and ship multi-step, production-grade AI agents that automate complex GTM workflows end-to-end (not single prompts or prototypes)
•Translate business requirements into robust agent architectures, including state management, tool use, orchestration, and guardrails
•Build multi-agent systems where specialized agents collaborate, hand off work, and maintain context across workflow stages
•Integrate agents with Salesforce APIs (read/write), mapping object models (Leads, Contacts, Opportunities, custom objects) and handling authentication securely
•Connect agents to structured business data in Snowflake and reason over it reliably at runtime (with a strong semantic layer mindset)
•Partner with IT/Security and Data Engineering counterparts to align on infrastructure, access controls, and production readiness
•Define and improve reliability patterns: error handling, fallback behaviors, output validation, monitoring, and post-launch iteration
•Deliver in an agile cadence with proper review gates across dev → staging → QA → production (no solo deploys)
•Production agentic systems experience: shipped at least one multi-step AI agent to production that real users rely on daily, with clear architecture and post-launch improvements

Key Requirements

•Multi-agent orchestration: Hands-on experience building systems where multiple agents collaborate
•CRM + business systems integration: Deep familiarity with Salesforce APIs, authentication, and GTM workflows
•LLM API proficiency: Hands-on experience with Claude/OpenAI or equivalent, including tool usage and context management in production
•GTM domain knowledge: Understanding of how Sales, CS, Marketing, and RevOps operate (deal cycles, pipeline, revenue reporting)
•Security-aware architecture: RBAC, data isolation, auditability, OAuth/JWT/SSO familiarity (Okta a plus)

Experience:GTMSalesforceSnowflakeRevOpsCRMAIMulti-agent

Skills:EnglishCommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:SalesforceSnowflakeWorkatoOktaPythonOpenAIAnthropic ClaudeOAuthJWTSSORBAC

Company Brief

Front

Front provides an AI-powered customer service and shared inbox platform that helps teams collaborate on customer communications, automate workflows, and improve support efficiency across email and messaging channels.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Front

1 month ago

AI Engineer - GTM / Operations (Contract)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Santiago

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and ship multi-step, production-grade AI agents that automate complex GTM workflows end-to-end (not single prompts or prototypes)
•Translate business requirements into robust agent architectures, including state management, tool use, orchestration, and guardrails
•Build multi-agent systems where specialized agents collaborate, hand off work, and maintain context across workflow stages
•Integrate agents with Salesforce APIs (read/write), mapping object models (Leads, Contacts, Opportunities, custom objects) and handling authentication securely
•Connect agents to structured business data in Snowflake and reason over it reliably at runtime (with a strong semantic layer mindset)
•Partner with IT/Security and Data Engineering counterparts to align on infrastructure, access controls, and production readiness
•Define and improve reliability patterns: error handling, fallback behaviors, output validation, monitoring, and post-launch iteration
•Deliver in an agile cadence with proper review gates across dev → staging → QA → production (no solo deploys)
•Production agentic systems experience: shipped at least one multi-step AI agent to production that real users rely on daily, with clear architecture and post-launch improvements

Key Requirements

•Multi-agent orchestration: Hands-on experience building systems where multiple agents collaborate
•CRM + business systems integration: Deep familiarity with Salesforce APIs, authentication, and GTM workflows
•LLM API proficiency: Hands-on experience with Claude/OpenAI or equivalent, including tool usage and context management in production
•GTM domain knowledge: Understanding of how Sales, CS, Marketing, and RevOps operate (deal cycles, pipeline, revenue reporting)
•Security-aware architecture: RBAC, data isolation, auditability, OAuth/JWT/SSO familiarity (Okta a plus)

Experience:GTMSalesforceSnowflakeRevOpsCRMAIMulti-agent

Skills:EnglishCommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:SalesforceSnowflakeWorkatoOktaPythonOpenAIAnthropic ClaudeOAuthJWTSSORBAC

Company Brief

Front

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 4.6

Website LinkedIn Glassdoor