Freelance (Self employed)

Fractional Product Marketing for Enterprise SaaS, Product Marketing Alliance (PMA) Expert-In-Residence and advisor to early stage founders.

Fractional Product Marketing and Advisor to Early stage founders

Product Marketing Alliance

Speaker and Expert-in-Resident

TheXPlace

Strategic Marketing and Product Marketing Advisor to CEO

Treasure Data

Boosted GTM Strategy for a Data Platform and ML Solutions in Cutthroat Market.

At Treasure Data, I redefined our product marketing strategy by adeptly positioning our data platform and machine learning capabilities as the “Customer Data Cloud” to win in the ultra-competitive Customer Data Platform space.

I took the reins at a pivotal moment, as Treasure Data expanded its product portfolio and sought new buyer segments. Under my leadership, our Product Marketing team grew to eight experts, laser-focused on a multifaceted strategy: product positioning, messaging, narrative crafting, launches, and competitive analysis. The metrics speak for themselves:
* Earned “Leaders” rankings in industry reports, thanks to our compelling positioning.
* Customer testimonials touted unprecedented ease-of-use and ROI improvements.
* Existing clients broadened their portfolios, while winning new logos at elevated rates.

Global Head of Product Marketing

Wrike

Growth Product Marketing leader, delivering 125% over objectives.
 
As the Head of Product Marketing at Wrike, a Vista Equity portfolio company, my collaboration with key stakeholders and focus on data-driven strategies doubled launch speeds and yielded business outcomes that exceeded our objectives by 125% within just two quarters.

In a SaaS environment, aligning product marketing with business goals isn't just a perk—it's essential. My efforts in fine-tuning messaging, understanding the competitive landscape, and optimizing the team contributed to timely and successful product launches and meaningful revenue growth.

I spearheaded the PMM function at Wrike, handpicking a team of top-tier talent to create a high-performance unit. Together, we revamped the go-to-market strategy—from product launches to targeted content creation—based on in-depth customer research and data-driven insights. Here are the metrics that back it up:
* Doubled the speed of product launches, breaking into new markets with finesse.
* Overachieved objectives by an astounding 125% in just two quarters.
* Garnered recognition and an invitation to join Vista's elite leadership program.

Head of Product Marketing

[24]7.ai

Messaging and GTM Strategy for AI-Driven Customer Acquisition Cloud and Engagement Cloud. Targeting F1000 enterprise contact centers and marketing leaders.

Responsible for optimizing the GTM of the AI-driven Customer Acquisition Cloud, next generation customer acquisition solutions spanning pride media bidding (search, social, shopping), omnichannel personalization and ML-driven dynamic creative optimization. 

I also led product marketing and the go-to-market (GTM) strategy for [24]7.ai's AI-powered contact center solutions which uses Machine Learning and Natural Language Processing (NLP) to decode customer intent and optimize customer experiences across all channels. 

In an era where customer experience (CX) is fragmented across multiple touchpoints, the need for intelligent, context-rich interactions is more crucial than ever. The solution portfolio uses [24]7 intent data gathered from processing over 5.5 billion customer interactions to deliver game changing results to marketing and CX leaders at Global 2000 enterprises.

Portfolio Product Marketing Manager- Customer Acquisition Cloud

Zoomdata

Turning Data Into Decisions: Messaging and GTM for Big Data Analytics. 

In my role as Director of Product Marketing Management (PMM) at Zoomdata, I drove messaging, product launches and lead conversion, leveraging my experience with analytics, databases, and other data technologies.

 We live in an age where data is abundant but insights remain scarce. My comprehensive experience with modern data sources like Hadoop, AWS S3, and Kafka is instrumental in targeting analytics and data managers that strive for actionable business intelligence, turning big data into strategic actions.
Go Deeper:
As Director of PMM, my key responsibilities and achievements encompass:
* Strategic Partnerships & GTM Initiatives: Managed high-stakes collaborations technology stack partners including Cloudera and SAP, as well as Cloud vendors like AWS to boost product awareness and adoption. 
* Cross-Functional Leadership: Navigated cross-disciplinary consensus among C-level stakeholders for narrative development, ensuring that Zoomdata's unique approach to streaming and visualizing big data was clearly and compellingly communicated.
* Content & Messaging: Created a diverse portfolio of assets ranging from whitepapers to self-service demo platforms, each tailored to demystify Zoomdata's complex server platform for a range of audiences—from business decision-makers to highly technical experts.

Director Product Marketing

Machine Zone

"As technology evolves, we find ourselves in a world where everyone and everything is connected. We are at a crossroads of creating the new realtime internet experience. As we unlock these barriers, possibilities are truly endless."

In the Sr. PMM role I led product marketing for MZ’s cloud-based, live data platform – Satori. Collaborated with leadership, product management, engineering and design to capture the vision in messaging, developed competitive analysis and analyst relations as well as identify verticals for GTM.

Domain expertise: analyst relationship and briefing, competitive intelligence, cross-discipline collaboration, messaging and positioning, simplifying complex concepts, crafting vision and demos, create marketing assets.

Sr. Product Marketing Manager

SAP ANZ

Owned IT Audience program (€650K budget) for data platform, mobile and analytics portfolios, contributing to more than 60% of the country’s revenue and achieving x4 market growth. Developed the marketing program to support aggressive business growth objectives across the portfolio. Responsible for pipeline progression: generating leads, account insights, increase engagement and raise awareness. Liaised with global product marketing, developing primary and secondary research to craft positioning, messaging, content as well as manage the launch of SAP’s data discovery solution.

Developed and executed marketing programs to overachieve sales and marketing objectives; launch SAP’s data discovery tool in APAC, GTM to grow analytics market share and share-of-wallet. Recognized for creating analytics pipeline, achieving 146%.

Domain expertise: Solution marketing, Product marketing, Lead generation, Pipeline management, Digital and Social marketing, Integrated marketing, Content marketing, bringing technology to life; Solutions: HANA, Business Intelligence, Analytics, Mobile, Data management.

Senior Marketing Solution Manager, IT Audience: Analytics, HANA, Data platform

Green Hat

Worked with multiple accounts in the IT and Finance sector to: 
- develop and progress pipeline with nurture programs; implement marketing automation to manage and measure the conversion of interest to sales 
- plan and execute integrated marketing programs to expand audience reach and generate leads across channels: email, digital, social and tele 
- develop personas and define positioning to guide content and program development

Account Director and Senior Marketing Consultant

Helping companies dig up the real "Why Us" for results. Enterprise, Sales-led Growth ($10M-$150M) for AI / Data / Analytics / Martech | Leading GTM & Product Marketing with Grit, Passion, Action | Follow for PMM insights

An accomplished Data-driven, Customer-led Product Marketing and GTM leader in high-growth B2B/SasS ($30M - $150M). Led category leadership, product launches, and GTM programs instrumental in doubling revenue within 18 months for SaaS and AI / Data products at high-growth startups and multinationals. Known for exceptional depth, business acumen, and nailing the narrative that builds PMM as a force multiplier. 

I'm open to fractional and full-time positions.

15+ years successfully engaging technical and business buying groups in CX, CDP, Martech, Adtech, Databases, Analytics, Life Sciences domains. 

My superpower?
Thinking differently through deep customer / market / product insights and analysis of what works to distill 'the why', challenge with data, and optimize GTM. I roll out repeatable GTM strategies to teams of 100s, making selling easier, marketing stickier, and customers happier.

- I’m a trusted thought partner to sales and product strategy teams - inspiring cross-functional collaboration and influencing with technical depth and a deep understanding of the sales cycle.
 
- I prioritize monetization across the entire SaaS lifecycle - launch, adoption, renewal, and expansion by bridging market, effort, and internal assumptions. 

Outcomes include:  

* Category Leadership repositioning elevated awareness, demand, MRR / NRR, and positioning as 'leader' in analyst reports.  

* Multi-product sales motion -  shift to a platform sales motion x2 deal size and x3 new logos.  

* Rapid New Market Entry / Product Launches - optimized product launches to hit greater revenue, quicker. Guiding outcomes from PRD to research, planning, and cross-functional execution.  

* Competitive Differentiation boosted conversions with standout messaging for marketing and sales. 

* World Class PMM Engine as a player-coach, built and led PMM teams (8) as a force multiplier and Customer SMEs. 

I love taking initiative and driving projects forward, often beyond the initial scope. What I don’t know, I figure out, by combining systematic logic, creativity, and empathy. I bring a smiling, let's do good attitude. 

CORE SKILLS:
Go-to-market Strategy | Positioning | Messaging | Personas | Content | Thought leadership | Product Launch | Category leadership | Competitive & Market Research | Customer & Market research | Pitch Decks, Sales Plays, Sales Enablement | Analyst Relations | Win/Loss | SaaS packaging | VOC | VOS Customer marketing | Partner marketing | Leadership & Talent Management

Renat Gersch

𝐆𝐓𝐌 𝐒𝐭𝐚𝐫𝐭𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐘𝐨𝐮 𝐒𝐡𝐢𝐩

Just before the holidays, Hila Lauterbach and I met a founder building their MVP, their Minimum Lovable Product.

They were clear on the use case. 
Clear on the value. 

The buyer? Their instinct was familiar: 
“Let’s sell to the enterprise.”

That's the critical GTM decision.
As they described the product, my mind kept circling one thing
𝐅𝐫𝐢𝐜𝐭𝐢𝐨𝐧.

Enterprise meant influencing a PM 
↳ Who then has to convince engineering.
↳ Who then needs to find a sprint.
↳ Who then will evaluate
And so on, you know what it’s like

That’s not early traction. 
That’s a traffic jam ⛔.

So I asked a different question. 
“What if your first users weren’t enterprise at all?”
What if you started with “vibe coders”?  
↳ Those who already experiment
↳ Builders shipping fast
↳ Testing AI workflows
↳ Giving unfiltered feedback 

Smaller accounts, yes. 

But faster learning loops
real usage 
real signals.

You could feel the shift in the room. 

That’s the kind of early signal GTM fit exploration surfaces.
Before the roadmap hardens.

Because that choice quietly determines
✅ what you learn
✅ what you build
✅ and how fast you find buyer pull

So an honest question:
​​Who did you design your GTM roadmap around first? 
Do they accelerate learning, or slow it down?

#GTM ##enterprisesales

The 10x Go-To-Marketer | Tech & Life sciences | Helping founder-led startups accelerate GTM from vision to repeatable revenue -​> Strategy, Execution, Traction | 2 x Unicorn GTM & PMM Leader | Co-founder @ 10xGTM

Nick Roco

Hi, I'm Nick, from Morningside AI.

We're a completely done-for-you AI workflow automation agency.

Where we help you:

→ Transform your business into an operational machine
→ Turn AI into a tool, not just a toy
→ Ultimately save time, headaches, and money

We do this by working with you 1-on-1 to find the biggest bottlenecks in your business today, and help you solve them with AI and automation.

Here’s how we do it:

1. Audit your current workflows.
2. Identify bottlenecks, inefficiencies, and repetitive tasks.
3. Verify if they can be outsourced to AI or automation.
4. Break down the task into steps.
5. Build custom AI automation tools to streamline.
6. Launch.

Simple as that.

What you get when you work with us:

→ Built-for-you AI and automation solutions
→ A full top-to-bottom AI Automation Business Review
→ Expert guidance on integrating AI into your business for maximum impact

Past clients have received:

→ An efficient AI System for customer support + lead generation.
→ Completely automated client onboarding system.
→ Infinite AI-enabled content creation.
→ Strategies focused on tangible outcomes (time savings, reduced overhead, and increased revenue).
→ Much more sleep.

Here's what 2 of our clients have had to say:

"Nick has taken out a lot of those pain points and a lot of those tedious day-to-day tasks that would feel very overwhelming... I can always count on him when it comes to anything AI and really automating anything" - Ryan, Marketing Manager @ Aragon

"We've been working together with Nick trying to figure out how we can integrate automation in making our workflow much more efficient... Not only did he help us figure out what to do with our workflow to make it more efficient, he also helped us develop what we have to make it better" - Syra, Marketing Project Manager @ Adcrate

----------

If any of this resonates, let's have a genuine conversation about your most annoying challenges.

Reach out to me directly, and let's explore how AI and automation can be a part of your success story.

I respond promptly and am here to help.

Or go here for a Free 16-page E-Guide on Ways to Use AI in your Business: https://tally.so/r/wMElKg

See ya soon.

Member

Hot take: the most successful AI consultants I know are not building custom agents. They are running audits. Lots of them.

This is the pattern we’ve seen across 50+ real engagements at Morningside, and what we see inside our community of 3,000+ AI consultancies/agencies:

The consultants closing deals are leading with a structured AI audit - not a pitch for a 6-month transformation (hint: this becomes glaringly obvious later, but not right away).

The ones struggling right now are trying to sell the destination before the client even knows where they're starting.

An audit is the most beautiful, exploratory, non-committal thing you can offer.

It lets the client:

→ See their current state clearly (no assumptions)
→ Get a prioritized list of opportunities (not a 50-page wishlist)
→ Make a confident decision about what's next (with real data)

And it lets you (the expert advisor):

→ Build trust before asking for a big commitment
→ Surface the actual problems (not the ones they think they have)
→ Position yourself as the obvious choice for the follow-on work

Our business completely changed when we started offering these at scale in January 2025.

Revenue became more predictable. Sales cycles shortened. Client satisfaction went up because we weren't guessing - we were diagnosing.

In other words:

Audit → Clear roadmap → Scoped build → Measurable ROI

Skip the audit → Misaligned expectations → Scope creep → Everyone frustrated

If you're in AI consulting and not leading with audits, you're making it harder on yourself.

Mark my words: 2026 is the year of AI audits.

Sharing hard-won lessons on AI transformation from the front lines | Launched 53 AI projects for clients (and counting)

Why AI Audits Win Over Custom Agents

Dear Claude Code, you've done it again.

I've officially found the best use case for Claude Code - hands down.

Freeing up storage space on your computer.

Literally just cleared 81 GB of space on my Mac in 2 minutes flat.

I love this thing.

Use this prompt:

Analyze my disk space and find opportunities to free up storage. Show me the biggest space consumers, explain what each one is in plain english, and tell me which ones are safe to delete. Then ask me which ones I want to clear before doing anything.

You are so very welcome.

Head of AI Consulting @ Morningside AI | Sharing hard-won lessons on AI transformation from the front lines | Launched 53 AI projects for clients (and counting)

I spent 120 hours last year running discovery interviews for AI strategy assessments.

Was it insane? Yes

Did I learn a ton about how to run interviews? Also yes.

A GOOD interview feels like an focused investigation. A BAD interview feels like a directionless jam session.

If you’ve ever run discovery interviews before, you know exactly what I mean.

Here's the method that actually works:

1. Start with execs, then frontline, then back to execs
2. Set the scene hard (one guy asked if I was building the Terminator, not kidding)
3. Open-ended questions first, quantify second
4. 2-3 pain points max - not 20
5. Follow emotion and body language

Full breakdown in the video 👇

Consulting right now is wild because 90% of the ideas that I think are brilliant one day, end up looking completely different 2-3 months later.

You can build the most beautiful offer in the world. Tie it up in a bow. Perfect positioning. Slick deck.

And if the customer didn't ask for it… It was all for nothing.

After speaking with 20+ AI consultants over the last couple months, this is the trap I see my peers fall into constantly - INCLUDING myself.

We see what others are building. We get inspired. We convince ourselves "this is exactly what the market needs." That shiny new “AI system” is EXACTLY the offer we’ve needed to accelerate.

Then we pitch it. And the client says: "That's not what I asked for. I just need this one little thing."

Been there. Deflating.

The problem is not that we're not creative enough as consultants, that’s kind of our job. It's that we're solving imaginary problems instead of real ones. We’re putting things on paper that make sense to us (which feels good), but we do so often times without the client’s actual voice in the room.

What I've learned the hard way is:

Some clients will love your big vision. They'll want the whole transformation. “Give me everything” type of vibe.

Most won't. They want the small thing that solves their immediate pain.

And the consultants winning right now are positioning ninjas. They stay close enough to customers to know which one they're talking to.

Three questions I now ask before building anything:

1. Is this solving a problem I ACTUALLY heard in the last 5 client conversations?
2. Could I sell this to someone on my calendar THIS WEEK?
3. Am I excited because it's USEFUL - or because it's NEW?

The real “edge” of AI consulting is - honestly - boring. Listen to what customers actually want, then deliver it well.

My favorite part about Claude Code (and AI tools generally): it amplifies people with taste.

The difference between AI slop and actually valuable things is TASTE. By removing the barrier to creation, we've greatly raised the barrier to making GOOD things. In other words, when the cost of creating goes to zero, the value of GOOD WORK goes up.

Marketing copy, GTM plans, sales decks, and even entire applications - all of it is made exponentially better (or worse) with taste.

If you have taste, AI propels you forward. If you don't, your work will slowly blend into everyone else's.

Tools like Claude Code just make it obvious faster.

ALRIIIGHT ALRIGHT I'll do it. Clawdbot, here we go.

Just dusted off my old Macbook Pro from 2017.

(I'm talkin' Intel chip baby. M1 who?)

Enough of the YouTube rabbit hole, it's time to test this thing out.

Will report back.

P.S. For the AI maxi's already on Clawdbot, what are your main use cases right now? What should I absolutely setup first?

Hook me up!

You're an executive or ops lead at a 150-person company. Leadership is pushing for AI. You've talked to three “consultants”.

They all sound smart. They all promise "transformation.”

Sooo how do you know who's legit vs. who is just regurgitating what they’ve read on social media?

Ask about their process.

Look for these five things:

→ Research before kickoff. They show up knowing your industry, your competitors, and some critical use cases. Not asking "what does your company do exactly?"
→ Structured interviews. For each department, expect anywhere from 3-5 people across roles, not just leadership. 
→ Specific questions. Hours spent, frequency, cost. They quantify pain, asking the "feels-y" questions about why some tasks suck. Collecting opinions alone does not help here.
→ Evidence-backed recommendations. Every suggestion ties back to something your team actually said. As in... actual quotes directly supporting main themes.
→ Clear next steps. What to do first, what it costs, expected ROI. Not "let us know if you have questions." You should feel like you're in good hands from Day 1.

Because the difference between a real audit/assessment and an expensive brainstorm is - rigor.

If your consultant can't walk you through their methodology in detail, keep looking.

I have run 100+ workflow interviews with frontline employees over the past 12 months. The two magic words that unlocked every AI opportunity are "Then what?"

Here's the problem I’ve found: When you ask someone "what do you do?" they give you workflows. Big buckets. This is not necessarily BAD, it is just NATURAL. When explaining our jobs, we describe them in broad categories of work.

"I manage social media." "I handle customer support." "I do reporting."

Thing is - You can't automate "manage social media."

You need the tasks inside the workflow. The technique is so stupid simple: Keep asking "then what?" until you hit bottom.

An interview might sound like this:

Me: "Walk me through how you handle social media."
Them: "I check all 5 platforms for comments and DMs."
Me: "Then what?"
Them: "I draft responses to common questions."
Me: "Ah ok. Then what?"
Them: "I pull analytics from each platform manually.
"Me: "Sounds like a lot. Then what?"
Them: "I create a weekly performance report in Google Sheets."

And nooooow we’ve got it:

1. Check platforms: Automatable? Yes
2. Draft responses: Automatable? Probably
3. Pull analytics: Automatable? Definitely

Three automation candidates. Clear time savings. Quantifiable impact.

Workflows are too big to automate. Tasks are where the money is.

Every exec I talk to "wants to do AI." Unfortunately almost none of them have made it a priority.

"We want to do AI" sits in the queue behind everything that feels urgent. It stays INTERESTING but never PRIORITY. 

However, just last week, I watched this flip in real time with a client, which was wild.

Story time:

We had been working with an NBA organization for 6-ish months on AI features for their custom fan app. Good client engagement, clean delivery, everything was sweet. 

Later, they asked for a proposal to discover more AI use cases within their operations. So we scoped a consulting pilot for one department. Standard issue, come in, run our process.

Then… team ownership got involved.

"The owners are wondering why we haven't done anything AI yet..."

After this, *miraculously*, the project went from “department pilot” to “org-wide strategy” literally overnight. Same objective. Same team. But now it had PRESSURE behind it.

What leadership attention unlocked: Faster access to stakeholders, quicker sign-offs, and honestly real participation (not just those polite nods you get in meetings)

The lesson here is not "wait for your board to care and to interrogate you." It's that urgency around AI is MANUFACTURABLE.

If you want AI to actually ship, create the conditions that make it unavoidable:

1. Set a deadline for your first PRODUCTION win (30–60 days, not "this year")
2. Assign someone who OWNS THE OUTCOME - not someone who just "oversees" it
3. Make participation MANDATORY, not optional
4. Start with UNDERSTANDING YOUR TEAM’S PROBLEMS, not new AI tools

AI moves from curiosity to priority when someone decides it has to.

I'm looking for 5 companies that want to get serious about AI in 2026.

Not "add a chatbot" serious. Actually redesign how work gets done.

In 2025, we ran AI Strategy Assessments for NBA teams, NRL clubs, Fortune 500s. We mapped where AI actually fits (not just where it sounds impressive), and then built those solutions side-by-side with our clients.

Almost all of that work came through referrals. Leaders who got results told other leaders.

Now we're opening the doors to others.

We’ve got 5 spots left in Q1. If you're interested, book a call below to see if there's a real fit.

I run the Consulting team here at Morningside. When you book in, you’ll chat with me directly. There are no sales people that work here.

No fancy deck. No song and dance. Just an honest conversation about what you're trying to solve.

Link below ↓

P.S. My DMs are flooded - booking is the fastest way to actually connect.

Today is Friday. This is how I used AI this week to prototype an entire business idea from scratch.

1. Used GPT5.2 to help me create a top 1% prompt to plug into Deep Research (honestly, I’m not a 5.2 hype man, GPT5 felt just as capable)
2. Used Deep Research to research target customers, market sizes, positioning, and pricing strategy
3. Fed all that research back into GPT to create a 12-month financial projection model for the business with all the tabs and working formulas - seriously, Rev Model, Cost Model, Unit Economics, the whole shebang
4. Plugged all that into Sonnet 4.5 to turn the insights into detailed specs for Lovable
5. Used @Lovable to prototype the landing page, 95% done in one-shot

Then presented everything to my team.

This is exactly the work I used to do - completely manually.

I'd spend days manually researching market sizes, googling industry articles, and compiling information. I'd take those data points and manually plot them in a financial projection model. And then finally I'd use something like Framer to quickly spin up a landing page.

Something like this would have taken me at least a full week to do properly.

Now (with some caffeine and Brain FM), it takes me a few hours.

What's cool is these tools & functionality now feel nearly second nature to me. As in, “obviously I would have GPT create the projection model for me… how else would I do it?”

This is such an awesome time to be building.

---

I'm Nick. I share how we're using AI to transform our business (and our clients' businesses).

Follow along if you're interested.

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