Job Description
Job Description
We are looking for a talented
Lead AI Engineer (SaaS RevOps)
to build the next generation of intelligent go-to-market systems. We are a leading Open Payments Platform that enables and optimizes digital transactions for global enterprises and hyper-growth companies.
Job Duties:
Design and implement intelligent, scalable automations across GTM workflows using tools like Make, Zapier, Workato, or Tray.io.
Own AI-first enhancements to lead routing, territory assignment, enrichment, scoring, and follow-up workflows.
Build and maintain automations between core systems such as Salesforce, HubSpot, Apollo, Qualified, Gong, Intercom, and Zendesk.
Deploy and operationalize AI-native tools (e.g., OpenAI, LangChain, Gong) to support GTM initiatives.
Build AI-driven capabilities like predictive lead scoring models, intent-based segmentation, and copilots for sales or CS.
Prototype AI-based workflows or agents using low-code platforms or custom API integrations.
Partner with data teams to connect AI workflows with core GTM data sources.
Run experiments to test and measure the impact of AI and automation on funnel performance.
Build dashboards and reports on the usage and ROI of AI initiatives.
Collaborate with Sales Ops, Marketing Ops, and Customer Success Ops to identify bottlenecks and high-impact opportunities.
Ideal Background:
5+ years in Revenue Operations, Business Systems, GTM Automation, or a related technical role.
Deep experience with GTM platforms like Salesforce, Pardot, Qualified, Apollo, and Gainsight.
Strong hands-on experience with automation tools such as Zapier, Make, Tray.io, Workato, or n8n.
Familiarity with AI tools and platforms including OpenAI/GPT/Gemini, Gong, Qualified, Clay, Intercom, Drift, or LangChain.
Ability to write and iterate on prompts, build light prototypes, and integrate APIs.
Strong project management skills with the ability to manage multiple initiatives in parallel.
Analytical mindset, comfortable using data to measure success and iterate quickly.
Experience with Python or SQL.
Experience working directly with ML models or vector databases.
Why Us:
Competitive salary plus Equity.
Outstanding Medical and Dental benefits, including 100% employer-paid options.
Company-paid Life and Disability insurance.
Optional vision, supplemental insurance, and Flexible Spending Accounts (FSA).
Open Paid Time Off policy and 12 weeks of paid leave for new parents.
Matching 401(k) plan (5% up to $5,000 yearly).
$1,000 annual professional development stipend.
Monthly home working/digital lifestyle stipend, a new MacBook, and a one-time accessory reimbursement.
Access to a company-paid professional coaching service.
Company-sponsored visits to headquarters for remote employees.