Revenue Operations Engineer (AI)

Location: Somerville, Massachusetts, United States; hybrid work with 3+ days per week in the office

Salary: $90,000–$115,000 per year, plus eligibility for on-target earnings (OTE)

Company

hirify.global builds AI-native software and modern technology for frontline manufacturing operations.

What you will do

• Design, build, and ship AI-native tools, agents, and automations in Clay and adjacent platforms for Sales, Marketing, Customer Success, and Revenue Operations.
• Integrate LLMs and agentic patterns, including prompt design, retrieval, and evaluations, into CRM enrichment, account scoring, deal intelligence, and automated outreach workflows.
• Evaluate the GTM technology ecosystem, including Salesforce, Clay, Gong, ZoomInfo, and emerging AI-native platforms, and build reliable integrations and automation frameworks.
• Diagnose root causes in pipeline management, forecasting, sales enablement, and partner operations workflows.
• Partner with Revenue Operations, Sales, Marketing, Customer Success, Finance, Product, Engineering, and Data teams to turn ambiguous requests into measurable solutions.
• Own delivery end to end, including prototyping, backend services, deployment, monitoring, iteration, data-quality guardrails, adoption measurement, and business-impact analysis.

Requirements

• 3–5+ years of experience in GTM Engineering, Revenue Operations, Business Systems, or software engineering focused on data- or AI-driven applications, ideally in B2B SaaS.
• Hands-on experience building and shipping AI-powered workflows or agentic automations that solve real business problems.
• Deep familiarity with Clay or a comparable enrichment and automation platform, plus GTM tools such as Salesforce, Gong, ZoomInfo, and Looker.
• Ability to write scripts or connect systems through APIs and webhooks using Python, JavaScript, or SQL.
• Experience scoping ambiguous stakeholder requests into measurable solutions and shipping iteratively.
• Bachelor's degree or equivalent hands-on experience.

Nice to have

• Experience integrating LLMs or ML into production systems, including RAG and evaluations.
• Familiarity with data warehouses or BI tools such as Redshift and Sigma.

Culture & Benefits

• AI-forward, humanistic, high-ownership working environment.
• Company equity and a competitive benefits package including health, dental, vision, disability, life, AD&D, FSA, commuter benefits, parental leave, and 401(k).
• Flexible work schedule and unlimited vacation policy.
• Learning and Development program, virtual company events, and fitness subsidies.
• Inclusive, dog-friendly office with a focus on personal well-being and diverse collaboration.