Senior Director, IT Product Management — GTM & Customer Experience

1 нед. назад

USADirector

aiproduct management

Senior product leadership role to own AI-driven transformation of Go-To-Market and Customer Experience platforms, leading a product management team and partnering with engineering to deliver autonomous workflows.

Обязанности

We are seeking a visionary, product leader to own the AI-driven transformation of the platforms powering 's Go-To-Market (GTM) and Customer Experience (CX) capabilities. This is a hands-on leadership role — architect and player-coach, accountable for the end-to-end product vision, agentic system design, and delivery of intelligent experiences across the revenue lifecycle, from prospect to quote to cash to renewal and support. You will lead a team of product managers and partner deeply with engineering to move beyond traditional SaaS UIs toward multi-agent orchestration.
North Star:  Redesign how sells, partners, launches products, and serves customers as an AI-native, agentic system — not incrementally better SaaS screens, but autonomous workflows that own outcomes. You are the product leader who turns that ambition into a shipped, governed, measurable reality — and who raises the craft of AI product management across the GTM and CX estate.
Own the multi-year product vision and roadmap for embedding advanced AI across the entire GTM and CX stack; translate corporate strategy into a rigorously prioritized portfolio of AI initiatives, each grounded in measurable business impact.
Bring hands-on mastery of the GTM and CX domains — ,Quote-to-Cash (Q2C), partner motions, and post-sale onboarding and support — and use it as the source of truth for every design decision. 
Redesign the process from first principles before introducing tooling or agents — simplify, standardize, and remove steps that exist only to serve legacy systems. 
Re-imagine Q2C and NPI as clean, measurable flows; only then apply automation and agentic orchestration to the steps that remain.
Instrument every process so cycle time, productivity, and value delivery are visible and improvable. 
Define the data contracts and master-data alignment across Salesforce, CPQ, ERP/billing, and CX systems so decisions and agents act on a single, fit-for-purpose source. 
Balance innovation velocity with stability, scalability, and technical-debt reduction so improvements compound instead of creating new seams. 
Advance the organization from an AI-native, AI-first posture to true agentification — business processes that operate as governed, multi-agent systems with human-in-the-loop control. 
Earn it in the right order: Agentification does not happen without process fit and data fit. Redesigned, instrumented processes and fit-fo
Sequence the roadmap around lighthouse beachheads  where each build retires a legacy path rather than running beside it.
Set the standard for production-grade AI: eval coverage, human-in-the-loop guardrails, and responsible-AI practices baked into the definition of done.
Bring an architect-first, systems-designer mindset. Shape scalable AI architectures for GTM/CX workflows that leverage LLMs, agentic frameworks, vector search, orchestration layers, and real-time inference — in close partnership with Engineering.
Prototype, validate, and iterate on high-impact AI concepts through rapid proof-of-concept work; own the product side of the full AI SDLC across GTM and CX platforms.
Drive user-centric AI innovation in seller, partner, and customer journeys — ruthlessly removing friction through intelligent automation, predictive insight, and personalization.
Maintain platform health by balancing innovation velocity with stability, scalability, and technical-debt reduction across Salesforce, CPQ engines, ERP integrations, and custom AI layers — governed loops that preserve velocity while producing audit artifacts as a byproduct.
Lead, mentor, and scale a high-performing team of AI-fluent product managers; operate as a player-coach — deeply engaged in architecture and product direction while building organizational AI product excellence.
Raise the bar on the craft: data-driven decisions, experimentation frameworks, and business-value quantification over vanity PoCs.

Другое

15+ years of progressive leadership in enterprise technology / product management, including 5+ years leading teams at a high-growth, large-scale tech or SaaS company.
GTM fluency: experience with hardware / software / SaaS go-to-market models and the technical complexities of NPI in such environments.
B2B Business Transformation: Demonstrated track record leading large-scale process re-engineering initiatives that streamlined Quote-to-Cash (Q2C) or NPI flows, with direct accountability for metrics like cycle time, cost-to-serve, and seller productivity.
Operating Model Alignment: Exceptional ability to partner with CRO, RevOps, Finance, and CS executives to align operating models, drive organizational change management, and eliminate legacy operational debt.
Applied AI depth: demonstrated success leading the design and delivery of production-grade AI/ML products, including generative-AI applications, agentic architectures, and large-scale automation.
Strong GTM System knowledge with hands-on experience across CRM (Salesforce), PRM, advanced CPQ, billing, and complex revenue architectures; CX / customer-support platforms a strong plus.
Proven track record transforming seller / partner / customer experiences through agentic AI, intelligent automation, and data-driven platforms, with measurable impact on revenue operations.
Technical credibility to influence and partner with senior executives, product engineering, and AI teams; fluency with the modern AI stack (LLMs, agent frameworks, cloud, MLOps, vector search, real-time systems) alongside core GTM platforms (Salesforce, Clari, or equivalents).
Mindset: Drive disruptive AI innovation while maintaining the reliability, compliance, and stability required for mission-critical revenue systems.
Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree (MS/PhD) or MBA preferred.
(RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. 
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