For Software Companies (SaaS & AI)
Fractional CMO leadership and AI implementation for B2B SaaS and AI companies, from product-market fit through durable growth.
I've operated marketing inside software businesses through every stage, from finding product-market fit to locking in repeatable, category-leading growth. Now I bring that operator brain together with AI implementation, so the marketing program keeps building without scaling headcount linearly.
Trusted by teams at
How I show up in Software (SaaS & AI).
Stage-aware GTM
Plays that match seed, growth, and scale-stage SaaS reality.
AI in the funnel
Prospecting, qualification, and CS workflows wired with AI.
Expansion by signal
Usage and intent triggers that protect and grow NRR.
Category posture
Narrative and analyst strategy when you're ready to lead.
What you get
PLG and Sales-Led Hybrid Programs
Marketing programs designed to combine self-serve adoption with intelligent sales overlay, the dominant pattern in modern software.
Positioning for AI Companies
Tightening positioning against a noisy, crowded market with defensible narratives. AI in your product, AI in how you tell the story.
Content, SEO and GEO Built for AI Search
Content systems that rank in Google and get cited by ChatGPT, Claude, and Perplexity. AI workflows wired into research, drafting, repurposing, and QA.
Lifecycle, Expansion, and Retention Plays
Systems that surface expansion signals, trigger account plays, and protect net revenue retention. AI agents inside the lifecycle, not on the side of it.
What we put in place together
- Stage-appropriate marketing plan
- PLG / sales-led workflow design and handoff
- Positioning and category narrative work where applicable
- Content system architecture (SEO + GEO + repurposing)
- AI workflows and agents shipped against the highest-impact work
A software-company marketing program built for efficient, durable growth, with senior leadership and AI implementation in the same engagement.
Book a Discovery CallFocused playbooks by sub-segment
I work across 8 specific sub-segments inside Software (SaaS & AI). Each has its own buyer, its own AI opportunity, and its own playbook.
Questions buyers ask about Software (SaaS & AI)
The objections I hear most often before a discovery call, answered up front.
Yes. Most modern software lives in that hybrid zone. I design the self-serve funnel, the sales overlay, and the handoff between them so the two paths amplify instead of cannibalize each other.
Engagements are scoped to stage and ambition. Seed-to-Series-A teams typically work with me on a focused fractional retainer; growth-stage teams add systems and AI workstreams on top. I size the engagement to the ROI math, not a packaged tier.
Positioning and qualification changes show up in 30 to 60 days as demos get crisper and CAC tightens. Retention and expansion gains take a quarter as the systems and plays land in the renewal cycle.
That's one of my most common engagements. I document what the founder is already doing, build the playbook, hire-spec the first marketers, and stay embedded through the first quarter of the new team to make sure adoption sticks.
Concretely: AI workflows inside content production, ICP enrichment, lifecycle, reporting, and competitive intel. I scope the highest-impact builds first and ship them with the team, not at them.
Stop duct-taping your GTM. Start growing pipeline.
30 minutes to walk through your funnel, your stack, and the AI plays I'd make first to move ARR in the next two quarters. Not theory, a working plan.