Front is the customer operations platform that helps businesses manage complex B2B customer relationships by keeping all teams, tools, and conversations harmonized. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from top-tier investors. The company has been recognized with numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.

About the Position

Introduction

Front is a customer operations platform designed for complex B2B environments, ensuring teams, tools, and conversations are synchronized to enable scaling without losing personal connection. Unlike simple interaction handlers, Front specializes in coordinating and contextualizing intricate B2B customer relationships. Trusted by over 9,000 companies, including Uber Freight, Navan, and Stripe, Front excels at providing the operational layer necessary for successful customer-facing work.

Front's GTM Systems team is developing production-grade agentic systems to revolutionize go-to-market operations, moving beyond chatbots, demos, and single-step automations. This contract role involves designing and implementing multi-step AI workflows that integrate with critical business systems like Salesforce, Snowflake, Workato, and Okta, supporting users across Sales, Customer Success, Marketing, and RevOps.

This is a high-trust, high-autonomy build role where you will collaborate directly with the GTM Systems Director, managing the end-to-end agent architecture and applying production experience to ensure reliability, manage failure modes, enhance observability, maintain security, and facilitate post-launch iteration. Strong performers may be considered for a full-time position.

Responsibilities

Design and ship multi-step, production-grade AI agents to 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).

Requirements

Production agentic systems experience: Shipped at least one multi-step AI agent to production that real users rely on daily, and can explain architecture, failure modes, and post-launch improvements.
Multi-agent orchestration: Hands-on experience building systems where multiple agents collaborate (e.g., LangGraph, CrewAI, AutoGen, or equivalent patterns).
CRM + business systems integration: Deep comfort integrating with Salesforce via APIs, including auth, object models, and real-world GTM workflows.
LLM API proficiency: Strong hands-on experience with Anthropic Claude, OpenAI, or equivalent – tool use/function calling, context management, and reliable parsing in production.
GTM domain knowledge: Working understanding of how Sales, CS, Marketing, and RevOps operate (deal cycles, renewals, pipeline, customer health, partner workflows, revenue reporting).
Security-aware architecture: Ability to design for RBAC, data isolation, and auditability; familiarity with auth patterns like OAuth/JWT/SSO.
Python (production quality): Strong Python with async patterns, logging/observability, error handling, and deployment considerations.
Workflow automation + API integration: Experience building reliable integrations across external systems; familiarity with tools like Workato/Zapier.
Data warehouse connectivity: Experience building agents that query Snowflake (or equivalent) and reason over structured data safely and consistently.
Requirements translation: Ability to think in systems and workflows, challenge weak requirements, and propose better approaches grounded in production reality.

Nice to Have

Experience building lightweight interface layers (React, Next.js, or similar) on top of agent backends.
RAG architecture experience (vector databases, chunking strategies, embedding pipelines).
Experience replacing SaaS tools with purpose-built AI workflows (build vs. buy judgment).
Okta experience.

Benefits

Competitive salary in USD.
Remote role from Argentina with required overlap with US Pacific time hours for synchronous meetings and stakeholder sessions.