Marketing & GTM Operations Specialist

About Cascade AI

Cascade AI is an AI‑first, agentic platform for back‑office operations automation, with initial use cases in HR and IT.

Our specialized AI agents automate high‑impact internal workflows, from employee‑facing support like benefits decision support, leave planning, onboarding, and policy guidance, to operational automation across HR and IT teams, including analytics, service workflows, and compliance processes.

By combining vertical intelligence with enterprise‑grade security and infrastructure, Cascade helps large organizations modernize internal operations, reduce administrative burden, and elevate the employee experience.

We’ve raised $5.4M led by Gradient Ventures (Google’s AI fund), built strategic partnerships with Microsoft and Google, and are live with Fortune 100 enterprises. We are defining the category of agentic AI for enterprise operations and scaling rapidly into large, complex organizations.

This role runs and optimizes the operational backbone of our GTM motion, keeping marketing and sales running effectively and every handoff moving smoothly. You’ll work closely with Marketing, Sales, Customer Success, and Product to turn GTM activity into revenue.

At Cascade, this role:

• Operates marketing execution end‑to‑end—events, webinars, campaigns, email, nurtures, A/B testing, and attribution across the funnel
• Runs our GTM systems and data layer—lead lifecycle, scoring, routing, Mar Tech stack, data hygiene, integrations, and analytics across marketing and sales
• Designs and runs AI agents across Operations—automating manual work, accelerating productivity, and shaping what AI‑native operations looks like at Cascade
• Extends into Business Operations support as needed—cross‑functional systems, processes, and tooling beyond GTM

Cascade is an AI‑first company. We expect every team member, especially in Go‑to‑Market, to leverage AI tools and internal agents to drive productivity, insight, and execution quality.

• Set up marketing and sales campaigns end to end across channels: forms, landing pages, workflows, UTMs, tracking, and post‑campaign reporting.
• Build and maintain forms, gating, and progressive profiling; monitor conversion and data‑capture performance and surface optimization opportunities.
• Run webinar and event operations in Zoom and Hub Spot—registration flows, reminders, follow‑ups, list uploads, and attribution—while scoping, briefing, and trafficking supporting assets to ship on time.
• Build and optimize our email programs—nurture workflows, sequences, and newsletter—including list management, segmentation, scheduling, and performance reporting, in partnership with demand gen and product marketing.
• Run a continuous A/B testing program across subject lines, landing pages, CTAs, and forms. Use results to tune what we send, how we capture, and how we convert.
• Build and scale AI agents across Operations—automating repeated workflows in marketing and sales, eliminating manual handoffs, and multiplying what the team can get done.
• Extend into Business Operations support as needed—cross‑functional systems, processes, and tooling that go beyond GTM.

• Operate and optimize the sales and marketing tech stack day to day—Hub Spot (primary MAP), Salesforce (CRM), Mix Max (email), Zoom (webinars and events), and enrichment/intent tools (Apollo).
• Execute list imports, segmentation, and audience building across campaigns, nurtures, and paid media.
• Establish data hygiene standards based on best practices and maintain them across the stack—Hub Spot Salesforce  sync, field mapping, deduplication, and reliable data flow, with regular health checks and proactive monitoring.
• Manage email deliverability: SPF, DKIM, and DMARC configuration, sender reputation monitoring, bounce handling, and list hygiene to protect our ability to reach the inbox.
• Maintain documentation of the stack, its processes, and its data hygiene rules so the team can self‑serve.
• Evaluate, onboard, migrate, and retire tools as the stack evolves—scoping fit for new investments, managing clean onboarding and data migrations, and retiring what’s no longer needed.