Product Marketing Director

Intellum is growing product marketing into a function that matches the depth of our product and the sophistication of our customer base. AI is reshaping where and how learning happens: inside products, in the flow of work, across the customer relationship. Companies are deciding right now what modern learning looks like, and the Director of PMM decides how Intellum leads that conversation.

The Director partners directly with the CMO, CEO, and VP of Product. AI runs through the operating model: agents handle continuous monitoring, synthesis, retrieval, and asset maintenance through systems the Director architects.

• Own positioning, narrative, and category strategy for a category being rewritten by AI in real time.
• Build dynamic, AI-powered enablement systems (such as shared sales workspaces with retrieval and automated win/loss synthesis) rather than static one-off assets.
• Decide what stays human and what becomes an agent. Architect the prompts, retrieval, and automation that let the team operate at a scope a traditional PMM org can't match.
• Run voice of customer as a continuous function. Work directly from raw inputs (sales calls, customer interviews, product demos, win/loss conversations) and turn unstructured signal into positioning and enablement. Output is a living view of why we win, why we lose, and what's changing.
• Operate competitive intelligence as an always-on monitoring system that updates downstream assets as competitor inputs change.
• Partner with the VP of Product on pricing and packaging for the up-market and executive buyer motion. Test changes against deal size and win rate.
• Build sales enablement with reps in their selling motion. Measure on usage and revenue impact, kill what doesn't get used.
• Work directly with the CEO to capture and systematize his product and market expertise into usable internal frameworks and external positioning.
• Partner with the VP of Product on launches: position capabilities before they ship, then close the loop from market reception back to product priorities.
• Run experiments with hypotheses, success criteria, and kill criteria. Report results, including the ones that didn't work.
• Performs other duties as assigned.

• 6+ years in B2B SaaS product marketing, including 2+ at senior IC or director level. Years matter less than what you've built. We will trade tenure for evidence of an AI-native function you operated.
• Built and operated an AI-native marketing or product marketing function where agents do real work, not just sit alongside the human as assistance. You can describe what you built, what it replaced, and what broke along the way.
• Worked directly with a technically deep founder or product leader and kept pace with their cycle. You know how to extract their thinking and turn it into market-facing assets without losing the substance.
• Communicate at the API, architecture, and integration level fluently. Can shift register from practitioner to CIO without watering either down.
• Set pricing and packaging in fragmented or category-undefined B2B markets, including changes you can point to as moving deal size or win rate.
• Run voice of customer and competitive intelligence as continuous, system-driven functions, not quarterly projects.
• Operate cleanly inside multi-stakeholder executive alignment (CMO, CEO, Head of Product). You know when to force a decision and when to bring three options.
• Comfortable with messy primary data. Not dependent on someone else synthesizing it first.
• Occasional travel for company events and customer engagements.
• Available consistently across multiple U.S. time zones.

• Built or contributed to a product marketing function at a PE-backed SaaS company, ideally one going through an up-market motion or category repositioning.
• Background in learning, customer education, employee development, or developer relations. You understand why learning inside products is different from learning as a separate destination.
• Shipped a category-defining narrative that moved analyst coverage, won a head-to-head competitive cycle, or repositioned a company against a larger incumbent.
• Hands-on with the current generation of agent frameworks, retrieval systems, and prompt orchestration. Can talk shop with engineering, not just describe outcomes.
• Experience working with PE operating partners and boards. Comfortable with quarterly board narratives and the scrutiny that comes with them.

• Bachelor’s degree in marketing, business, or a related field, or equivalent professional experience

What the Interview Process Looks Like
We like to keep things thoughtful, conversational, and useful for both sides. Our goal is to get to know how you think, how you operate, and what it would feel like to work together.
Here’s what you can expect:
Step 1: Recruiter  Conversation
We’ll talk through your background, what you’re looking for, why Intellum might be interesting, and answer any early questions you have.
Step 2: CMO (Hiring Manager) Conversation
Next, you’ll meet with the CMO to dig deeper into the role, the business, and how your experience maps to what we’re building.
Step 3: CXO Conversation
If things are clicking, you’ll meet with our CXO to talk about customer experience, market positioning, cross-functional partnership, and how Product Marketing can help shape the way we show up in the market.
Step 4: COO Conversation
From there, you’ll meet with our COO to discuss business priorities, operating rhythm, and how this role can help drive clarity, alignment, and growth across the organization.
Step 5: Working Session with VP of Product + CEO + CMO
Last up is a live working session with our VP of Product and CEO. We’ll walk through a real-time Intellum scenario together and ask you to reason through the problem live.
We’ll also ask you to bring a few examples of work you’ve actually built, shaped, fixed, and learned from. That could be a system diagram, a sales enablement workspace, a positioning framework, a voice-of-customer output, a launch plan, or another example that shows how you operate.
 We’re interested in how you think, ask questions, structure ambiguity, connect product, market, customer, and revenue realities, and how you can show the real work behind the story.