Responsibilities

• Workflow Automation & Orchestration: Build, optimize, and maintain complex event-driven logic and multi-step workflows using tools like Zapier, n8n, and Clay, transitioning quick prototypes into robust team-wide solutions.
• Enrichment & Intelligence Infrastructure: Design ICP segmentation, lead scoring models, and signal-to-action workflows that transform raw intent data into actionable sales intelligence.
• Multi-Channel Prospecting Pipelines: Build end-to-end outbound infrastructure from scratch—including deliverability setups (SPF, DKIM, DMARC, domain warmup, bounce handling), A/B testing, automated enrichment, and response-detection routing.
• ABM & Paid Media Tech Stack: Connect audience targeting across platforms (LinkedIn, Google), manage suppression/match-rate workflows, and implement bidding and testing automations.
• AI-Driven Demand Generation: Build technical infrastructure leveraging LLMs (Claude, ChatGPT, Gemini) to optimize how content surfaces on AI search, while accelerating inbound speed-to-lead and routing.

Requirements

• Experience: 3+ years of professional experience in GTM Engineering, RevOps, or Growth Engineering.
• LLM Integration: Hands-on experience building workflows and automation leveraging modern LLMs (Claude, ChatGPT, Gemini).
• CRM Expertise: Deep familiarity with Salesforce (data model, object architecture, API integrations, and automation).
• Technical & API Capabilities: Strong experience connecting systems via APIs (REST, webhooks, OAuth), with a clear handling of rate limiting, error handling, and lightweight custom coding.
• Automation Mastery: Proven track record with automation tools (Zapier, n8n, Clay) combined with custom scripting/coding when needed.
• Builder Mindset: Demonstrated ability to build systems from scratch (0 to 1), instrument data pipelines, ship rapid prototypes, and solve ambiguous technical problems independently.
• Ownership & Communication: Strong owner mindset with the inclination to challenge assumptions, alongside C1-level fluency in English (written and spoken).

Preferred

• Startup experience, particularly building foundational systems from scratch in a high-growth environment.
• Experience with data warehouses (e.g. Snowflake, Databricks, BigQuery).
• Formal background in software engineering, data engineering, or a technical IC role.
• Bachelor's Degree in Computer Engineering, Computer Science, or equivalent.

Benefits

• Job Type: Full-time / Contractor
• Location: 100% Remote (Global)
• Language Requirement: English (C1 Advanced/Fluent)
• Work Location: Remote