GTM Operations Manager

About the role

We're hiring our first dedicated AI GTM Operations Senior Manager to build, modernize, and own the intelligent infrastructure behind Nametag's go-to-market engine. This is not a traditional RevOps role limited to CRM hygiene, reporting, and process enforcement. Those foundations matter, and you'll own them. But the larger mandate is to turn Nametag's GTM infrastructure into an intelligent operating system: one that uses data, automation, and AI to help our sales and marketing teams' prospect smarter, personalize outreach, qualify leads faster, generate tailored sales content, surface real-time account intelligence at every stage to move deals through the funnel with greater speed and precision. You'll work closely with GTM leadership, sales, marketing, product, and operations to design the systems, workflows, and AI-enabled capabilities that help Nametag scale. Some of this foundation exists today. Much of it you will shape, build, launch, manage, continuously improve. This role is ideal for someone who combines RevOps discipline with a builder's mindset: equally comfortable cleaning up HubSpot pipeline stages, evaluating AI outbound tools, automating rep workflows, and partnering with sales leadership on how AI can improve how the team sells.

Responsibilities

• GTM Systems & Data Foundation
• Own Nametag's HubSpot instance end-to-end: architecture, pipeline stages, deal properties, workflows, reporting, integrations, and data hygiene.
• Define and enforce CRM standards across Sales and Marketing so GTM data is clean, consistent, and actionable.
• Build and maintain integrations between HubSpot and the broader GTM stack: outbound, enrichment, sequencing, sales intelligence, website analytics, forecasting, and AI automation.
• Evaluate, implement, and govern new GTM tools and AI capabilities as the commercial stack matures.
• Serve as Nametag's internal expert on HubSpot and GTM tooling - driving adoption, enablement, and continuous improvement.
• Evaluate, implement, and manage new GTM tools and AI capabilities as the commercial stack matures.
• AI-Powered Prospecting & Marketing Collaboration
• Partner with Marketing and Sales to build an intelligent demand engine: firmographic, technographic, intent, and engagement data used to identify high-propensity accounts and buying signals.
• Drive ICP-informed segmentation, territory design, account prioritization, and propensity targeting.
• Design and manage the MQL-to-SQL handoff: lead scoring, routing, SLAs, follow-up accountability, and campaign-to-pipeline feedback loops.
• Operationalize AI-assisted outbound personalization: scalable templates, prompts, workflows, and guardrails that help reps personalize at scale without sacrificing quality, accuracy, or brand voice.
• Sales Intelligence & Process Automation
• Build systems to ingest, synthesize, and surface account intelligence at each funnel stage - discovery, demo, proposal, RFP, procurement, and close.
• Create onboarding and enablement frameworks that help new AEs ramp quickly and adopt GTM systems from day one.
• Revenue Insights, Forecasting & GTM Strategy
• Own the weekly and monthly forecast process in partnership with AEs and Sales leadership.
• Build dashboards and reporting cadences that give leadership real-time visibility into pipeline health, funnel conversion, sales productivity, and revenue performance.
• Track and report core KPIs: pipeline creation, MQL-to-SQL conversion, stage velocity, win rate, sales cycle length, ACV, and AE productivity.
• Identify pipeline gaps, coverage risks, conversion bottlenecks, and expansion opportunities before they become problems.
• Translate GTM data into business insights for leadership, board, and investor reporting.
• Partner with COO, CRO, and GTM leadership on planning, capacity modeling, territory design, and partner/channel operations.
• What Success Looks Like
• Reps spend more time selling; leads are scored, routed, and followed up with discipline.
• Outreach and sales content are more relevant, personalized, and produced faster.
• Reps have timely account intelligence before key calls; leadership has real-time visibility into pipeline, forecast, and revenue performance.
• AI is embedded in the sales process - not treated as a disconnected experiment.

Requirements

• Required
• 5-8 years in Revenue, Sales, or GTM Operations; 3+ years owning HubSpot in B2B SaaS.
• Hands-on experience implementing automation, AI-enabled workflows, enrichment, lead scoring, or outbound tooling.
• Strong analytical skills - pipeline, funnel, forecasting, and board-level

Benefits

Additional Information

About Nametag Nametag is a workforce identity assurance platform. We verify the real human behind high-risk workforce actions at hiring, account recovery, high-privilege approvals, and anywhere AI makes it harder to trust who's actually behind a request. The category is new. The problem is urgent. The opportunity is significant. The work is consequential to restoring trust in the AI era.

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