Marketing AI Operations Manager

Overview

Ripping gives businesses one place to manage HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. The role involves driving growth operations through AI, embedding AI across the go-to-market funnel, automating manual work, and extending Rippling's homegrown stack.

Key Responsibilities

• Embed AI across the GTM funnel. Find where intelligence belongs across Marketing and Sales workflows, then build it. Deploy AI agents or partner with engineering to ship proprietary systems that drive automation, personalization, and conversion.
• Automate manual work from end to end. Rebuild GTM processes like enrichment, lead routing, account research, outbound generation, and pipeline hygiene using AI, low-code tooling, and integrations, so reps spend their time selling.
• Put AI on watch. Build AI-powered system monitoring that catches data quality issues, broken automations, and routing failures before they cost pipeline, surfacing anomalies and recommended fixes automatically.
• Extend Rippling's homegrown stack. Partner with engineering and RevOps to add AI-powered capabilities to Playbook and DemoTime, two go-to-market systems Rippling built in-house that no off-the-shelf vendor offers.
• Build the SDR execution layer. Design AI-powered frameworks inside our internal systems so every marketing-to-Sales handoff is consistent, actionable, and measurable.
• Own the data layer. Build and maintain complex SQL queries to monitor marketing operations performance and cross-system data flows (Salesforce, Outreach, LeanData, marketing automation, enrichment) and feed the data that trains and improves your AI systems. Turn what you find into dashboards and plain-language insights for non-technical stakeholders.

Requirements

• SQL expert. Can independently query and model data to answer your own questions.
• Hands-on AI builder. Has built, prompted, automated, evaluated, or deployed AI tools and agents to solve real problems.
• Relentlessly scrappy and self-sufficient. Doesn't wait for permission, a roadmap, or a vendor. Ships things outside of job description because they needed to exist.
• Bias for speed. Ships, then improves.
• Strong communicator who can translate between technical and non-technical stakeholders.
• Background in Marketing Operations, Revenue Operations, or as a Salesforce admin. Focuses more on how you think and build rather than which seat you've sat in.
• Experience with Salesforce (flows, automations, reporting).
• Hands-on with Outreach (or Salesloft) and a marketing automation platform (Marketo, HubSpot, Iterable). LeanData and Nooks a plus.
• Experience with internal or homegrown tooling.

Qualifications

• AI and machine learning expertise.
• Experience with AI-driven marketing and sales processes.
• Understanding of customer relationship management (CRM) systems.
• Ability to work effectively in a fast-paced, dynamic environment.

Benefits

• Equal Opportunity Employer.
• Reasonable accommodations for candidates with disabilities.
• Flexible work arrangements, including remote work options.
• Collaborative work environment and company culture.

Pay

The pay range for this role is: 105,000 - 175,000 USD per year (US San Francisco Bay Area).

Schedule

Office-based employees must work at least three days a week.