Senior Product Manager, IT - GTM, CPQ

1 нед. назад

USASenior

aimachine learningroadmaprequirements gatheringproduct strategy

Lead the development and management of AI-powered GTM products and agents to enhance seller productivity and outcomes.

О компании

secures and accelerates the world's AI transformation. As AI agents reshape the enterprise, we're again defining what comes next, and IT's job is to prove it on itself.
We're building a thinking enterprise: applications that don't just record the business but help run it. They learn from our data, act through our own agents, and improve with every decision.We want AI practitioners who know B2B go-to-market from the inside, whether you've built it across a scaled enterprise or inside the Salesforce platform. You're ready to move the work itself, from manual and judgment-heavy to agent-run and agent-assisted.

Обязанности

You'll own GTM AI end to end and are accountable for its outcomes, building agents and internal products that carry the work in production alongside GTM leaders, engineers, and sellers. You don't just use tools. You treat AI as a high-trust collaborator, core to how you solve problems. You're low-ego, thrive in fast-moving environments, and test emerging capabilities to find simpler, more powerful ways to deliver.
Define the vision, strategy, and roadmap for AI-powered products that support the end-to-end seller journey.
Conduct thorough needs assessments, gather requirements from sellers and stakeholders, and use data-driven insights to prioritize AI/ML features with the highest ROI and business impact.
Ship agents and AI tools in production that lift seller productivity across account planning, pipeline, prospecting, acquisition, and relationship management.
Prototype quickly with AI tools, validating logic and data flows before engineering engages.
Partner with Engineers, AI architects and sales operations to turn models into scalable products, and with Enablement to drive adoption.
Stay current with the latest trends in AI/ML, B2B sales technology, and the competitive landscape to identify new digital product opportunities.

Другое

You can pitch, and you unblock. You walk into a room of Sales, and CX leaders, sell the bet on the product and why it matters, and walk out with alignment. 
You resolve misalignment up to exec-level partners, communicate with no ambiguity, and remove blockers for the people around you, not just yourself.
You understand how revenue actually moves across CRM (Salesforce), PRM, CPQ, and billing, and how sellers and CX teams work minute to minute. That domain fluency is what you pour into the agents.
You think from first principles and challenge the status quo. You look at a legacy process, ask why it exists at all, and build the thing that replaces it.
You're data-savvy by reflex. You don't wait for a dashboard; you go into the data yourself, find where the deal cycle leaks, and let the numbers frame the argument. You read pipeline velocity, close rates, and escalation paths the way a good rep reads a room.
6+ years across product management, building and managing GTM systems in enterprise, or a body of work that speaks louder than the year count.
A track record of shipping production AI/ML products, both generative and agentic, knowing where the model earned its keep and where it didn't.
Real transformation at scale in fast-moving environments, with impact you can point to in revenue operations.
Strong understanding of the B2B sales process, seller pain points, and the technology ecosystem that supports them (e.g., Salesforce, Clari, CPQ). 
Strong communication and presentation skills with the ability to to pitch product strategy to Executive leadership(including C-Suite)
(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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