Operations AI Engineer (Contract) San Francisco, CA

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received 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 . Front’s GTM Systems team is building production-grade agentic systems that change how go-to-market teams operate — not chatbots, not demos, and not single-step automations. In this contract role, you’ll design and ship multi-step AI workflows that integrate with real business systems (Salesforce, Snowflake, Workato, Okta) and support real users across Sales, Customer Success, Marketing, and RevOps. This is a high-trust, high-autonomy build role. You’ll partner directly with the GTM Systems Director, own the agent architecture end-to-end, and bring real production experience to every design decision — including reliability, failure modes, observability, security, and iteration after launch. Strong performers will be considered for full-time. What will you be doing? 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: You’ve shipped at least one multi-step AI agent to production that real users rely on daily, and can explain architecture, failure modes, and how you improved it post-launch What skills and experience do you need? 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 (Okta experience is a plus) 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 is a plus (we use Workato as our MCP integration layer) Data warehouse connectivity: Experience building agents that query Snowflake (or equivalent) and reason over structured data safely and consistently Requirements translation: You think in systems and workflows, push back on 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) Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. 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