Cascade AI is an AI-first platform focused on automating back-office operations, particularly in HR and IT. The Marketing & GTM Operations Specialist will optimize the operational backbone of the company's Go-to-Market motion, collaborating with various teams to ensure effective marketing and sales processes.
Responsibilities:
- 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 HubSpot—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—HubSpot (primary MAP), Salesforce (CRM), MixMax (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—HubSpot↔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
- Run the lead lifecycle end to end: capture, enrichment, routing, and handoff to sales. No lead falls through the cracks, every record is tagged and routed correctly
- Monitor, iterate, and optimize the lead scoring model based on conversion data and sales feedback, keeping it aligned with what actually predicts pipeline
- Monitor the funnel for breakage. Flag drop-offs, misrouted leads, or stuck records and drive the fixes
- Build and maintain core dashboards across HubSpot, Salesforce, and GA4—funnel performance, campaign results, pipeline by source, and paid media performance
- Track funnel health end to end—conversion rates, velocity, drop-offs, and lead-to-opportunity progression. Surface trends, bottlenecks, and optimization opportunities early
- Measure operational KPIs—lead response time, MQL velocity, data quality, and the productivity impact of AI agents and automation—and use them to drive continuous improvement
- Pull ad hoc reports and self-serve on data questions. Become the go-to for 'how did X perform?' answers across the team