Head of GTM Enablement

Observe.AI · Remote-US

  • Senior
  • Full-time
  • $215,000 – $235,000
  • Posted 2026-11-04
  • Confirmed live on 10 November 2026

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Job description

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI works with 300+ global brands in Financial Services, Insurance, Healthcare and Consumer Services, including brands like DoorDash, Affordable Care, to improve customer satisfaction, boost productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

The Head of GTM Enablement reports to the Chief Revenue Officer and owns enablement for every customer-facing role, from first outreach through deployment and expansion. You are a builder with a foundation in instructional design: you translate sales expertise and AI knowledge into practical, scalable learning programs that help the field explain, demonstrate, price, deploy and support our products. You own how those programs are designed, delivered and improved to drive adoption, retention and field performance.

Audience

What enablement must deliver

Sales development

ICP and persona fluency, qualification discipline, outreach that earns a conversation

Account executives

Platform narrative, discovery, methodology, pricing and negotiation, technical and security wins

Sales engineers

Demo and proof-of-value standards, architecture fluency, competitive technical positioning

Account managers and customer success

Expansion plays, value realization, adoption and renewal conversations

Forward-deployed engineers

Customer-facing selling skills, scoping discipline, handoff to the commercial team

Frontline managers

Coaching, deal inspection, forecasting rigor

What you’ll be doing

Six areas, in order of impact on win rate and ramp time. Across all six, apply adult learning principles to design engaging, interactive programs with clear learning objectives, opportunities to practice, feedback and reinforcement. Use a variety of learning tools and formats, including microlearning, experiential learning through real deal scenarios and hands-on practice, and learning embedded in daily workflows. Choose the approach that best helps each audience apply and retain what they learn.

• Market, ICP and persona knowledge. Keep the ideal customer profile, buying-center maps and persona playbooks current. Make sure every seller can tell a conversation-intelligence buyer from an agentic-automation buyer, and knows when one budget owner covers both.

• Platform narrative and positioning. Teach one consistent story of how conversation intelligence shows what to automate and agentic AI then automates it. Own competitive positioning against AI-native entrants, platform rivals and the analytics bundled into contact-center suites.

• Product and technical fluency. Build tiered learning for non-technical and technical roles on LLMs, speech models, retrieval, evaluation and guardrails, integrations, security and compliance. Run the demo, proof-of-value and certification programs. Lean on sales engineers and forward-deployed engineers as teachers, and protect their time for it.

• Methodology, pricing and process discipline. Teach and inspect the sales process: stage exit criteria, qualification, the technical and security win, pricing and negotiation under usage-based commitments, and CRM hygiene. Partner with Revenue Operations on tooling.

• Manager coaching and deal-review rigor. Equip frontline leaders to coach rather than step in and sell. Run structured deal reviews, call coaching and forecast inspection.

• Enablement operations and AI-native tooling. Run enablement as a product: a content governance model, a release-to-field cadence, learning and enablement platforms, and workflows that use our own conversation data to find what top performers do, power coaching and role-play, and flag where deals stall.

Outcomes

The first 90 days build the foundation where the biggest win-rate gains sit; later phases add scale.

• First 90 days. Listen to calls and talk to the field, then assess current enablement. Ship a new-hire onboarding path, the platform narrative, ICP and persona playbooks, and the methodology gates. Stand up a weekly release briefing so the field hears about product changes within days.

• Months 4 to 9. Launch role-based certifications, including a gate before reps run technical-win or pricing conversations. Train frontline managers on coaching and deal review. Introd

Prepare for the interview

Nothing collected for this employer yet. The Blind 75 is what technical screens draw from; practice it here, with a coach, in Java or Python.

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