Head of Product @ PayQuicker • Creator – Follow for content on Leadership, Personal branding, UpSkilling & Productization • I share what I learn

I am an AI Product Leader with 13+ years of experience in FinTech, digital payments, and product management, focused on building and scaling solutions that move money securely and efficiently. My expertise spans payout orchestration platforms, virtual cards, digital wallets, and cross-border payments, with a track record of delivering products in 200+ countries and 40+ currencies.

I’ve partnered with banks, PSPs, and global card networks (Visa, Mastercard, ACH, SEPA, SWIFT, RTP) to launch products that improve speed, reliability, and customer experience. My background includes defining KPIs, reducing failed transactions by 15%, and driving feature adoption by 20% through data-driven insights.

On the technical side, I work closely with engineering teams to design and deliver products built on REST APIs, OAuth standards, and webhook integrations for real-time synchronization. I leverage SQL and BI tools (Power BI, dashboards, analytics) to guide prioritization and ensure compliance with frameworks such as KYC, AML, PCI, PSD2, 3DS, and EMVCo.

I thrive at the intersection of product strategy, execution, and stakeholder alignment — turning complex financial and regulatory challenges into clear roadmaps, and mentoring teams to deliver scalable, customer-centric solutions.

Nazuk Jain 👩‍💻

I landed a job in 2025 after maternity leave using a system most candidates don't know exists.

It's neither a course nor a $150/hr coach. Not even memorizing CIRCLES and STAR frameworks.

It's a personal RAG system, and it took me 30 minutes to build.

Traditional interview prep is broken.
→ Generic frameworks differentiate no one
→ You practice questions you'll never get asked
→ Human mock interviews are expensive and unavailable at 11 pm when you're actually studying

The 2026 interview rewards one thing: connecting YOUR unique experience to a company's real problems.

So I built an AI coach that knows me.

It knows my resume. My projects. The companies I'm targeting. Where I'm strong. Where I struggle.

The BEST part is that tools like ChatGPT and Claude already support this. 
No coding required.

I broke down the exact system in my latest newsletter:
→ How to build your knowledge base (30 min setup)
→ The prompts that turn AI into your personal interview coach
→ 5 powerful ways to use it (daily sprints, company deep dives, weakness targeting)
→ Power user techniques for the night before your interview

If you're still prepping the way you did in 2015, you're leaving a massive advantage on the table.

Comment 'system' and I'll send you a link👇

#ProductManagement #InterviewPrep #GenAI

edit: if we are not connected, I am not able to send you a DM, please connect for me to be able to send you a DM.

GenAI Product • nazuk.substack.com • Creator • Brand Partnerships • Product Strategy and Growth • Roadmap to Results

If Your LinkedIn Headline Says 'Product Manager' in 2026, You're Invisible to AI Recruiters

The brutal truth about AI recruiters you need to hear: 👇

AI recruiters don't read headlines anymore. They parse them.

The shift is already happening. Companies are deploying AI agents to source candidates, and these systems are trained to match skills, outcomes, and specializations—not generic titles.

"Product Manager" tells the algorithm nothing. It's just noise among hundreds of thousands with the same two words.

Here's what's changing:

🔴 AI recruiters prioritize specificity over seniority.
"Senior Product Manager" loses to "AI Product Lead | LLM Integration | 0→1 Builds"

🔴 Keywords are the new resume.
Your headline is now indexed like a search query. If it doesn't contain what recruiters are searching for, you don't exist.

🔴 Outcomes beat titles.
"Drove $[X]M ARR growth" is far more impactful than "Experienced PM."

So how do you actually optimize your headline for AI?

1️⃣ Lead with your specialty, not your title.
→ "GenAI Product" > "Product Manager"
→ "Fintech Payments PM" > "Senior PM"

2️⃣ Include 2-3 high-signal keywords.
Think: what would a recruiter type into LinkedIn search?
Examples: "B2B SaaS," "0→1," "PLG," "AI/ML," "Growth," "Platform"

3️⃣ Add a proof point or outcome.
→ "$XM+ product portfolio" or "3x user retention" makes you memorable AND searchable.

4️⃣ Eliminate the fluff.
"Passionate leader" and "Results-driven" are invisible to algorithms. They provide no useful information.

5️⃣ Test it yourself.
Search your target keywords on LinkedIn. Do profiles like yours show up? If not, rewrite.

MY TAKE: The headline isn't about describing your job anymore. It's about being discoverable by machines AND compelling to humans. 

In 2026, your headline is your SEO. Treat it like one.

💬 Have you seen a surge in recruiter DMs after updating to your LinkedIn profile?

Have you read Pichai's AI predictions? Shared my take 👇

Google's CEO just laid out his vision for AI this year. And if you're leading product, you need to pay attention. Here's the breakdown 👇 𝗧𝗛𝗘 𝗧𝗛?

Open article: Sundar Pichai's 2026 AI Predictions – And Why Product Leaders Should Panic (Or Celebrate) by Nazuk Jain 👩‍💻 • 2 min read

Sundar Pichai's 2026 AI Predictions – And Why Product Leaders Should Panic (Or Celebrate)

Vibe coding from your phone won't save you from building the wrong thing.

Here's why and what you can do about it:

1/
Lowering friction helps you start.
It doesn't help you decide.

AI can spin up code, flows, and screens in minutes.
But it still can't tell you what actually matters.

2/
I am watching teams ship 10x faster and still miss teh mark.

Speed without direction is just expensive wandering.
Momentum feels productive until you realize you're confidently wrong.

3/
Critical thinking is still the bottleneck.

What problem are we solving?
For whom?
Why now?
What tradeoff are we making on purpose?

MY TAKE: No tool answers these for you. And no amount of removed friction changes that.

4/
Vibe coding removes the pain of execution.
It doesn't remove the responsibility of judgment.

You still have to choose constraints.
You still have to say no.
You still have to own the outcome.

5/
The people who will win in this era aren't the ones who code the fastest.

They're the ones who can:
– frame better problems
– spot weak assumptions
– connect dots others miss

AI just amplifies that.

6/
Think of AI as a multiplier.

If your thinking is fuzzy, it scales confusion.
If your thinking is sharp, it scales impact.

Same tool. Very different results.

7/
⚡ My projection: In 3 years, the gap between "can use AI tools" and "can think clearly with AI tools" will be the biggest career differentiator in tech.

The barrier to building is gone.
The barrier to building the 𝘳𝘪𝘨𝘩𝘵 thing? Still there.

So yes, vibe code from your phone.
Remove friction. Move fast.

Just don't outsource the one thing that still makes you valuable.

Your thinking.

💬 What's one decision AI can't make for you in your work?

taplio