Consulting

One person running a swarm of agents. That is the whole engagement.

You get senior judgment on the decision and the shipped work that follows from it. No account manager, no agency layer, no handoff between the person who made the call and the person who has to execute it.

I work across growth strategy, product marketing, and AI. You can hire me for one hard decision, a defined project, or an ongoing leadership role.

Book 30 minutes on my calendar. Bring the target, problem, or plan you are working through.

How I actually work

Most consultants sell strategy and hand execution to someone else. Most agencies sell execution and skip the strategy. I do both, because AI collapsed the distance between them.

I run my own marketing this way. I rebuilt this site with agents, turned 19 consulting casebooks into agent commands, and built a research system that does a week of company analysis in an afternoon. I also publish what it costs me to run, down to the token. The tools are open source, so you can inspect the workmanship before you hire it.

That matters for two reasons. Work that used to need a team now ships from one person at senior quality. And when I recommend AI inside your marketing, I am describing how I already operate, not reading from a deck.

What you can hire me to do

Position the product and make it easier to sell

Choose the ICP, problem, category, value, proof, and message order. Turn internal product knowledge into a story buyers understand and sales can repeat.

This covers positioning, messaging, launches, sales enablement, competitive work, PLG, and lifecycle. The output is not one messaging document. It is a clearer product story that shows up in the website, launch, campaign, sales call, product, and pipeline.

Build a growth and pipeline plan

Work backward from the revenue goal. Set a believable pipeline target. Choose the channels and campaigns worth funding. Build the funnel view, budget, forecast, and review process needed to run the plan.

You get a clear answer to three questions: what are we doing, why should it work, and what will tell us if it is working?

Make AI useful inside marketing

Find where AI can improve the work, build the system around it, train the people who will use it, and measure whether it made the output or the business result better.

That means AI strategy and team design, agents and workflows connected to real work, AEO and GEO, research and reporting systems, and the review steps that keep quality honest. The point is not more tools. It is more useful work from the team you already have.

Lead marketing without a full-time hire

Set priorities, run weekly reviews, manage the team and agencies, watch pipeline, help with hiring, and give founders or leadership one senior person accountable for the whole plan.

Two things that go wrong most often

AI does not fix unclear marketing

Give a strong model a weak brief and you get weak work faster.

Most failed AI projects are not model problems. Nobody chose the business goal. Context is scattered. The old process was never clear. Review belongs to whoever has time. The team cannot tell whether the new system helped.

Buying tools is easy. Changing how the work gets decided, built, checked, and measured is the job.

The request is often not the real problem

The homepage rewrite may be an ICP decision nobody wants to make. The launch plan may be weak because every feature is treated as important. Sales may ignore the battlecard because it does not help with a live deal.

A messaging framework nobody uses is not product marketing. It is a PDF.

Why teams call me

The pipeline target and the marketing plan do not add up

The target came from the board plan. The channel plan came later. Sales, marketing, and finance now use different assumptions about deal size, conversion, sales cycle, and who creates pipeline.

A target is useful. A target built on hidden assumptions is wishful thinking in a spreadsheet.

The product changed, but the story did not

New products, segments, and use cases were added. The homepage still tells the old story. Sales has adapted through private decks and calls. Marketing is trying to support every version at once.

This looks like a copy problem. It is usually a choice problem first.

The team is busy, but the work does not build on itself

Campaigns ship. Content ships. Reports ship. The next quarter starts from zero because decisions, lessons, and customer evidence live in different heads and documents.

More output will not fix that. Clear priorities, shared context, and regular review can.

The company needs senior marketing judgment, but not another full-time leader

The founder or CMO is the bottleneck. A small team and several agencies need direction. Important work crosses growth, product marketing, sales, and AI.

The gap is not another pair of hands. It is one person who can make tradeoffs, connect the work, and keep the result visible.

Choose how we work

Workshop

Use a workshop when the team needs a shared decision before it needs more work. Good topics include AI strategy, positioning, a pipeline plan, a launch, or team design. Practical tool training can be part of it.

The output is a decision, plan, owners, measures, and next steps. Not inspiration that dies on Monday.

Defined project

Use a project when the outcome is clear enough to name. I lead the thinking and ship the work needed to reach it.

Examples include a positioning reset, product launch, sales enablement system, AI workflow, AEO and GEO program, pipeline plan, or marketing review.

Ongoing consulting or fractional leadership

Use an ongoing contract when the work needs senior attention over several cycles. I can set the pace, review pipeline, guide the team, manage key work, train people on the systems, and help the plan improve as the market responds.

This is not a fallback offer. Some marketing problems only become visible after the first plan meets real buyers.

Talk through the right way to work together.

Pipeline numbers belong in the room

A marketing leader who will not discuss pipeline is avoiding the job. A marketing leader who claims full control over revenue is ignoring how B2B SaaS works.

I work between those two positions.

We agree on the revenue goal, pipeline target, assumptions, attribution rules, and measures before the work starts. Then we report what marketing created or influenced, what converted, what stalled, what the work cost, and what changes next.

Attribution will not be perfect. The number will still be visible. Misses will be explained, not buried inside a slide.

How the work happens

Find the truth. Review pipeline, customer and sales calls, campaign results, product use, budgets, old plans, and current work.

Make the choices. Agree on the audience, problem, message, channel, target, owner, budget, and what waits.

Ship the work. Build the campaign, page, launch, sales material, workflow, report, or plan needed to move the result.

Review and improve. Look at what happened, challenge the assumptions, and change the plan. Ongoing work repeats this loop.

AI runs through all four steps. It does research, call analysis, first drafts, testing, and keeps shared context current. It does not invent customer proof or make the final decision.

What we measure

The right number depends on the work. We choose it before building, because otherwise every project looks successful.

• Positioning and website work: message testing, conversion, qualified pipeline, and sales feedback.
• Launches: reach, interest, adoption, pipeline, revenue, and what the market taught us.
• Sales enablement: use by reps, deal conversion, sales cycle, objections, and win or loss reasons.
• PLG and lifecycle: activation, adoption, expansion, retention, and revenue.
• AI systems: time to publish, review time, quality, cost, use by the team, and the business result linked to the work.

Proof

• At GTM Buddy, I led a team of 3 and 4 agencies that sourced 4x the annual marketing budget in pipeline. I also built the pipeline view used by leadership and investors, and led positioning, messaging, sales enablement, and the launch of Nucleus, which reached 20 alpha customers.
• At Freshworks, I helped build the PLG charter and ran expansion campaigns that drove ARR with $0 in paid media. The tiered PLG campaign converted 2,778 product-qualified leads at 17.5%, and the competitive campaign against Intercom converted at 5.7x the average.
• At Vymo, I helped build the product marketing function across APAC, then moved to Chicago as the sole PMM for North America. Over those 5 years, Vymo grew ARR 4x. My work covered product launches, market entry, 85% adoption across 400K+ end users in 7 countries, and the Strong Performer placement in the Forrester Wave.
• In consulting work, I built a sales content system at Vendasta used by 200+ reps with 100% adoption, rebuilt the sales asset set at GTM Buddy against their own rep engagement data, and ran positioning and outbound at Pazo and LucioAI, tied to 2 enterprise logo wins. What the first 30 days looks like.
• On AI specifically, I used GitHub, Cursor, Claude, Codex, and Swan in daily marketing work at GTM Buddy, and built systems for sales signals, account research, meeting preparation, campaigns, and pipeline reporting.

The fuller record is on my work page. The systems and experiments I build in public are on GitHub, so you can inspect the work instead of trusting an “AI expert” label.

Common questions

Who does the work?

I do. That is the point. One senior person working with agents, so the person who makes the decision is the person who ships and reviews the result. If your team or agencies are already in place, I can lead their work or fill a specific gap.

Are you a strategist or an executor?

Both. I help make the decision and stay close enough to the work to learn whether it was right.

Will you own a pipeline number?

Yes, within a clear growth model. We define what marketing owns, what it influences, which assumptions sit with sales or product, and how progress is reported.

Can you run an AI workshop with tool training?

Yes. The tools get taught through your work and goals, not as a product tour.

Do you build the AI systems yourself?

Yes. I build them, run them on real work, and teach your team how to use and change them.

Do you work with early-stage companies?

Yes. The goal changes with the stage. Early work may focus on buyer research, positioning, the offer, and the first repeatable tests. Later work can carry a larger pipeline target, team, and budget.

Bring me the real problem

You do not need to diagnose it before the call. Bring the pipeline model, positioning problem, launch plan, AI question, team problem, or list of competing priorities.

We will work out whether it needs a workshop, a defined project, or an ongoing role.

Book a 30-minute conversation.