The Opportunity

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.

What You’ll Own

1. 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.

2. 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.

3. 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.

4. 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.

What We’re Looking For

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 reporting that drives decisions.
• Operates independently in a fast-moving environment; comfortable with ambiguity and limited oversight.
• Clear, direct communicator who translates data into business insight for technical and non-technical audiences.

Preferred

• Experience as the first or early RevOps hire.
• Experience in cybersecurity, identity, infrastructure, or enterprise software.
• Experience with tools like HubSpot, Apollo, Clay, LinkedIn Sales Navigator, Gong/Avoma, enrichment tools, sequencing platforms, forecasting tools, and AI productivity platforms.
• Experience building AI-assisted workflows for outbound, account research, lead scoring, sales content, call prep, CRM automation, or RFP/proposal support.
• Cross-functional experience across Product, Marketing, Sales on commercial strategy.

What We Value

Who we are matters as much as what we build. Six values define our shared operating system.

• Listen first. We earn the right to act by truly understanding first.
• Own it. Everyone owns the outcome, not just the task.
• Commit to better. We hold a high bar for everything we put our name on.
• Assume positive intent. Candor and kindness are partners, not opposites.
• Choose integrity. We earn trust through honesty and consistency.
• Move decisively. We respond quickly, learn quickly, and adapt quickly.

Why Nametag

• You’ll be the first dedicated RevOps hire—your work will be foundational, not incremental.
• Direct access to COO, CRO, and commercial leadership. No layers, no bureaucracy.
• A mission that matters: identity verification is one of the most critical unsolved problems in enterprise security.
• Competitive compensation, equity, and benefits in a company at an inflection point.

Salary range: $130,000–$160,000 base + bonus + equity + benefits

Nametag is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.