Capital One

Product Lead

FAQulty

Founder

Amazon Web Services (AWS)

Senior Product Manager

JobsJobs

Key product: Onboarding solution for Gen
Ranked #1 by Founder institute in messaging, market research, and pitch delivery and mentioned by the World Economic Forum in Jobs Summit 2021.


 I launched JobsJobs to design better onboarding experiences for early-career talent. Education costs are out of control and off-track and everyone suffers. Why not use emerging EdTech to turn your first job into a career development opportunity?

Built a personalized B2B onboarding SaaS tool prototype aimed at Gen Z early-career talent

Founder/Product Lead

EF Education First

Global education travel leader since 1965, Switzerland-based
Key products: language training, educational travel, academic degree programs, cultural exchange, digital online learning solutions
52,000 employees worldwide, $10B annual revenue, presence in 50 countries

I led marketing strategy for 4 core products and restructured the marketing department at EF, uniting all marketing functions.

Head of Product Marketing

Skolkovo Institute of Science and Technology

Leading tech innovation & entrepreneurship university founded in partnership with MIT in 2011 to train next generation of science, technology and business leaders
2000 startups launched, 1500+ alumni

Created 4 digital education products on the Internet of Things managing a team of engineers and professors twice my age to condense their extensive knowledge and experience into a series of popular videos. Through this, I have learned to simplify complex topics and explain them in a way anyone would understand

Technical skills: visual storytelling (Microsoft Power Point, Canva, Adobe Photoshop & Illustrator), video editing (Camtasia), learning management systems, instructional design

Product Manager, E-learning

Global Conference on New Edu-Technologies #EdCrunch2018

EdCrunch is a global conference on education technology featuring Coursera, Minecraft EDU, Microsoft Education, Minerva University, Josh Bersin, Google, Wikipedia and others.

Product Manager, Education

I help you land a PM role with a non-traditional experience, without an MBA or tech background | ex-Amazon | Building FAQulty

When I landed a Product Manager role at Amazon, I: 

❌ Had just moved to the US from another country
❌ Didn’t have any other FAANG companies on my resume Never wrote a line of code in my life
❌ Didn’t have an MBA from a top school (or any other MBA)
❌ Didn’t graduate from an Ivy League university
❌ Failed 1 Amazon loop
❌ Had resume gaps and lots of diverse, all-over-the-place experiences 

Here is what helped me:

✅ Grit
✅ Work ethic
✅ Strong transferable skills   

And the truth is -  that’s all it takes. 

Everything else is nice to have.   

That’s why I built FAQulty. It’s a community-powered platform to help you:  

💪 Better Communicate Your Potential to employers 
💪 Package Your Expertise 
💪 Improve your job search strategy & interviewing skills 

👉 Check it out: https://joinfaqulty.com/

Victoria Rubanovich

Technical Product Manager with a solid track record in FinTech, Payments, Safety, Antifraud, & Customer Care domains. With over 10 years of experience, I've had the privilege of contributing to developing and delivering digital products in both the B2B and B2C sectors.

Among the achievements in the last few years, I would note:

✅ Reduced up to 6% fraud miss by developing and implementing an automated blocking of fraudulent accounts

✅ Worked closely with the ML team and stakeholders and integrated new data sources into our existing fraud detection algorithms of ML models. This action led to an improvement of the recall metric by 5%.

✅ From scratch, I implemented the process of research and hypothesis testing in the bank's department. As a result, they reduced the time to market from 4 to 2 months.

✅ Improved the interface of the application form page for B2B clients and increased conversion rate by 5%.

I'm genuinely passionate about the intersection of technology and user-centric product design. I aim to create innovative products that address market needs and exceed user expectations. 

I'm a hands-on leader, using data and analytics to guide product development, prioritize features, and deliver solutions that drive value for businesses and end-users.

✍ Fell free to contact me via direct message on LinkedIn or by e-mail or phone:

📧 Email: v.stakhovsky@gmail.com  
📱 𝐏𝐡𝐨𝐧𝐞: +381 (62) 935-35-94

► 𝐒𝐨𝐟𝐭 𝐒𝐤𝐢𝐥𝐥𝐬: Team builder of cross-functional teams | Relationship builder with colleagues, partners, customers, and vendors | Skilled at resolving issues | Managing stakeholder expectations | Leadership | Visionary | Empathy and partnership responsibility for the result | Guided by customer needs and the impact of those needs on the business (revenue share, LTV, NPS, CSI, etc.)

► 𝐇𝐚𝐫𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: Product strategy (discovery, definition & roadmaps) | User & market research | Product discovery | CustDev | JBTD canvass | Hypotheses testing | Data analysis | Agile (Scrum, Kanban) | Waterfall | Customer journey mapping (CJM) | LTV, CAC, ARPPU | Unit economy | Customer discovery | Delivery Management

► 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐓𝐨𝐨𝐥𝐬: Jira | Confluence | Youtrack | MS Office tools | Miro | Trello | Notion

Veniamin Stakhovskii

Just completed Cursor for Product Managers and I recommend it 👇

🔗 Course: https://lnkd.in/dkGghdNA
🔗 Repo: https://lnkd.in/dPJfAJSu

This course is taught inside Cursor itself 
You install Cursor, download the files, type /start and the AI guides you interactively through real PM tasks.

What makes it powerful:
✅ Learn by doing real PM work (PRDs, research synthesis, data analysis)
✅ Master Chat, Composer, Cmd+K when to use each mode
✅ Create custom slash-command workflows
✅ Use project rules (.cursorrules) for persistent product context
✅ Analyze screenshots & mockups directly in chat
✅ Simulate AI reviewers (engineer, executive, UX) before sharing your work

This isn’t “AI as a chat window.”
It’s AI integrated directly into your product workflow.

You’ll practice:
• Writing PRDs with multi-perspective feedback
• Synthesizing user research
• Running product data analysis
• Building competitive strategy
• Automating repetitive PM tasks

No coding required. Just clear thinking and curiosity.
If you’re serious about becoming an AI-native PM, this is one of the most practical, hands-on courses I’ve taken.
Highly recommended.

#ProductManagement #AI #LLM #Cursor #AIPowered #TechCareers #BuildInPublic #PMTools #AIFirst

Hugging Face shipped “Skills”, a practical way to turn coding agents into repeatable ML teammates.

Hugging Face published a hands-on tutorial showing how “Skills” can turn a coding agent into a repeatable ML workflow runner, not just “write training code”, but launch GPU jobs, monitor training, and push the final model to the Hugging Face Hub.

What I like here is the product idea: Skills = packaged best practices (instructions + scripts) in a standard format, so you can reuse the same ML workflow across tools like Claude Code, OpenAI Codex, Gemini CLI, and Cursor.

Why it matters (practical take):

Faster “time to first experiment” for fine-tuning + evaluation (less manual glue work).

More consistency: workflows become versioned assets your team can share (internal Skills).

Less tool lock-in: same Skill can be consumed by different coding agents.

Reality check: this doesn’t replace ML expertise, data quality, eval gates, and cost controls still matter. The big win is making the “ML ops routine” more repeatable.

Links:
- Tutorial (“We Got Claude to Fine-Tune an Open Source LLM”): https://lnkd.in/d7nFThY4
- Skills repo: https://lnkd.in/dW8Hpxhq
- HF Docs (Skills / agent context): https://lnkd.in/dGQj35jr
- Video demo: https://lnkd.in/dCtbEexm

#HuggingFace #MLOps #AgenticAI #LLM #FineTuning #OpenSource #ClaudeCode #Codex #GeminiCLI #Cursor

I just signed up for Maven’s free workshop series: “The AI-Native Product Manager” (with Lenny’s team).

It’s a solid snapshot of what’s becoming table stakes for PMs in 2026: faster decision cycles, sharper technical judgment, and better AI workflows.

Why this is useful (practical PM angle):

Data → decision, faster: use AI + lightweight analysis to validate a hypothesis before you over-invest.

PRD → PR mindset: tighter loop from problem framing to an actual shippable artifact (prototype/spec → engineering-ready output).

Becoming more technical (without becoming an engineer): understand model choice, token/cost tradeoffs, and how to set up agentic workflows that your team can trust.

Link:
https://lnkd.in/dMDXh8dR

#productmanagement #ai #ainative #productstrategy #execution #prototyping #maven #lennysnewsletter

Watched “Cursor for Product Managers” by 🥞 Carl Vellotti yesterday, really useful session, thank you.
https://lnkd.in/d9sjmtkC

It also raised a question I think more PMs will face soon:

How do tools like Cursor and Claude Code help when your product is not mainly about UX flows, interfaces, or prototypes, but about data platforms, ML models, and technical systems?

A lot of PM work in these environments happens through:
SQL, Python, Databricks, data exploration, model logic, pipelines, and close collaboration with data engineering, analytics, MLOps, and data science.

So I’d love 🥞 Carl Vellotti view on two things:

1. What are the best frameworks for applying Cursor / Claude Code in platform and DS/ML-heavy product work?

2. How can these tools help PMs go beyond shipping faster and actually evaluate ROI, validate hypotheses, and quantify business impact?

Curious how others in technical product roles are thinking about this too.
Daniel Zherenkov

Open article: Cursor for Product Managers · Zoom · Luma by luma.com

Cursor for Product Managers · Zoom · Luma

I just found a free course: “Claude Code 101 for Data Professionals.”

Even if you’re a Product Manager, this is super practical, because it helps you get hands-on with data and move faster from idea → numbers → decision.

What I like (PM perspective):

- Pull data + run quick analysis (SQL/Python) to check a hypothesis before scheduling 3 meetings
- Build a small “impact calculator” or chart in minutes (baseline → uplift → € impact)
- Turn messy notes into a clean experiment plan + metrics + dashboard spec
- Learn how “agentic” tools work (multi-agent setup, code quality checks, MCP integrations)

For PMs who want to be more data-driven (without waiting in a queue), this is a great weekend skill-up.

https://lnkd.in/dGgbd9Gj

#productmanagement #data #analytics #experimentation #aicoding #claudecode

Cursor is running a new round of March workshops, and the agenda is basically an “AI-native workflow playbook”, from customizing your agent to shipping PRs and managing team adoption.

Sessions I’m most excited about:
- Rules, Commands, Skills, Hooks: customize Cursor to match your workflow
- Model Selection & Token Efficiency: prompting + model choice + cost control
- From PRD to PR: PRD → design → code → pull request (end-to-end delivery)
- Cursor Cloud Agents: run agents in virtual envs to build/test/validate code

Also great (depending on your role):
- Cursor for Product Managers: scope + build a working prototype
- Cursor 101 and Cursor 201: fundamentals → advanced workflows (MCP, rules, commands)
- Engineering Teams in the Agentic Era: redesign team workflows around agents
- Cursor Admin Guide: analytics, spend management, and ROI tracking

If you’re trying to move faster from idea → prototype → PR, or you’re helping your team adopt AI tools responsibly, these are worth joining.

https://lnkd.in/dyq5j7EX

#Cursor #AICoding #ProductManagement #Engineering #AgenticAI #DevTools #Prototyping #Productivity

I’ve been testing /last30days, AI agent skill built for one thing PMs care about: what’s trending right now (not last year). 
It pulls signals from the last 30 days across Reddit, X, YouTube, TikTok, Hacker News, Polymarket + the web, then dedupes and summarizes the key themes. 


Why this matters for Product Managers:
Spot product shifts early: UX patterns, pricing moves, feature bets, platform changes
Validate “is this real?” before you invest time: see repeated signals across different communities
Better discovery questions: turn trend clusters into customer interview prompts + hypotheses
Sharper strategy docs: add fresh evidence to PRDs, roadmaps, and exec updates
Keep a weekly trend brief: consistent signals > random doomscrolling 


Trend prompts PMs can run:
/last30days product management trends 2026
/last30days what PMs are building with AI agents
/last30days B2B SaaS pricing and packaging trends
/last30days onboarding best practices mobile apps
/last30days retention tactics that worked recently
/last30days competitor launches in [your category]
/last30days top complaints about [product type]
/last30days roadmap prioritization frameworks people use
/last30days what customers love about [brand/category]

Repo:
https://lnkd.in/dXZiW8gU

#productmanagement #productstrategy #userresearch #growth #ai #trends #b2bsaas #mobileproduct

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Victoria Rubanovich

Veniamin Stakhovskii

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The Battle

Victoria Rubanovich

Veniamin Stakhovskii

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Veniamin Stakhovskii's LinkedIn Performance

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Performance ScoreVeniamin Stakhovskii's LinkedIn Performance