Vin Vashishta’s Post

Since I transitioned from a Data Scientist to a Product Manager in AI, I have received this one consistent question from so many people- "I think I want to move roles. I am interested in becoming a PM but where do I start?" Here is my one and only answer to this: Start with understanding your ✨MOTIVATION✨ to move. I have observed people fall into this trap- they understand why they want to leave their current role but have no specific reason or motivation to move to a Product Manager's role. Here are some questions I would urge you to think through: 💡 Are you moving because you are bored of your current role or you find it monotonous? 💡 Are you moving because you find yourself technically challenged at your current job? 💡 Are you changing roles because of external factors such as your senior management/work culture/team? If the answer to any of the above questions is an astounding "YES", I need you to dig deeper as a next step. - Any role can get boring or hard during certain phases which come and go. - You can excel at your current role if you surround yourself in the right environment where you are set up for success. While these reasons are good enough to think about your next move, they are simply not enough to zero down to a particular role you want to move to, especially a PM's role. Like most complex roles in tech, reading what a PM does and actually doing it day in and day out are totally different sides of a coin. The question you really need to ask yourself: 💡 "Why do I want to become a Product Manager? What about this role draws me to it?" #productmanager #productmanagement #AI #datascientist #transition #womenintech #product

LinkedIn has more job openings for AI Product Managers than Data Engineers, Data Analysts, or Data Scientists. According to Glassdoor, AI PMs get paid more, too. There aren’t enough qualified AI Product Managers, so most roles stay open for months, pushing salaries higher. What can you do? If your business is looking for qualified AI PMs, reach out. I have trained over 200 in the last 12 months and can connect you with my network of Certified AI Product Managers. They are best-in-class AI Product Managers who turn data and AI into new revenue streams and operational efficiencies. Develop talent internally. Many data professionals are burnt out in their current roles and looking to have a more significant impact. They want to stay close to the product team while taking more ownership of its direction and being given more authority. The AI Product Management role is an excellent option for them. A training and upskilling program retains top talent and fills hard-to-source roles. Pair it with structured career paths to create an internal talent pipeline. It costs less and is more sustainable than relying on external hires. Never press someone into an AI Product Manager role without setting them up for success. Define the role, provide training, and give them a mandate and authority. Get in touch if you need to jumpstart the process or get introduced to the most capable people in the field. #ProductManagement #Career

From Data Science Consultant to Walmart Senior PM: Kanak’s Journey to AI Product Leadership 🚀 Before: Worked as a Data Science Consultant, previously employed for several years at a large material company. After: Secured a Walmart Senior PM offer, responsible for AI products. Beforehand, the trainee Kanak had ventured into multiple fields, including materials, IT, automotive, etc. After going full circle, he finally found his true interest: Product Management (PM). Despite his extensive work experience, his path to securing a PM role was fraught with challenges: 1️⃣ His resume was oriented towards application fields and lacked end-to-end product work experience. 2️⃣ He did not know how to package transferable skills. 3️⃣ He lacked interview skills and did not know how to answer questions from a product perspective. Consequently, Kanak sought our help and not only secured a Walmart Senior PM offer but also took charge of an AI/ML recommendation product, stepping into the AI track. 🤩 So, how exactly did he do it? 1️⃣ Built his own Product Portfolio, using our framework and strategies to analyze the relevance between his past work experiences and PM roles, thus identifying which PM experiences could be supplemented by doing projects and which could be packaged as transferable skills to present to interviewers. 2️⃣ Leveraged our PM Accelerator (PMA) project's unlimited 1:1 mock interviews, undergoing extensive practice with our coaches to enhance his interviewing skills. 3️⃣ Skillfully packaged and utilized his experience as a Data Science Consultant to transition into the currently hottest field of AI. Eager to ace your product manager interview at a top-tier company within 60 days? Download the top 50 product manager interview questions database for free! Prepare with confidence and land your dream job faster. Download Here➡️ https://lnkd.in/gzRC7_sM #PMAccelerator

Today, I stumbled across a Head of Product job post that said this: "Proven experience in delivering successful AI products in the corporate learning space." 🤯 There are only a small handful of companies that have delivered "successful AI products" and they are still infants—think skateboards in the oft-shared product emergence lifecycle, not luxury sports cars yet. The field is ripe with new bets, but many will fail. Narrowing further to "corporate learning space" shrinks the talent top of the funnel to smaller-than-unicorn status. 🦄 Great candidates might self-select out, though some will still apply. I'd bet on a much higher noise:signal ratio as the obviously unqualified applicants will always show up. My advice? Attract people with a proven track record in the corporate learning space (already know the customers/market), who possess high curiosity and an eagerness to grow, maybe with an emerging understanding of AI. Pair them with a strong technical team that knows AI and give them the room to ramp. Seen any absurd job post requirements lately? #badjobposts #poorlythoughtrecruiting #productmanagement #constantimprovement

Empower Project Success with Strategic AI Talent. The most suitable AI hires are your project’s lifeline. Here's how to ensure your team stays on course: 1. Hire for Agility: AI projects evolve rapidly. Seek out candidates who thrive in dynamic environments and can adapt quickly to changing priorities. 2. Domain Expertise: Technical skills are a given, but domain knowledge is the game-changer. A data scientist who understands your industry can identify relevant insights faster and with more precision. 3. Problem-Solving Mindset: Look for individuals who are not just code warriors but strategic thinkers. They should be able to anticipate challenges and craft solutions that align with your project’s goals. 4. Collaborative Spirit: The best AI projects are cross-functional. Ensure your hires are team players who can seamlessly collaborate with engineers, product managers, and other stakeholders. 5. Clear Communication: A great idea is only as good as how well it’s understood. Prioritize candidates who can articulate complex concepts clearly to both technical and non-technical team members. By strategically focusing on these aspects during your hiring process, you’ll not only keep your projects on track but also build a team that consistently drives results. #AIStartups #DataScience #ProjectManagement #TeamSuccess

I have hired AI Strategists and Product Managers for 5 years. Most candidates fail at the same interview phase because they lack the one skill that makes them so valuable. In both roles, candidates talk up their experience delivering successful data and AI strategies or high-value products. But that’s not what I and other C-level leaders hire for. Businesses need people who understand why they were successful enough to repeat their success in a different business environment. To get hired, candidates must spend less time discussing what they did. Answers to questions must contain 2 new elements: Why their approach was successful. This is a first-principles breakdown of what caused them to deliver results. The frameworks they use to duplicate that success under new conditions. Frameworks are flexible strategy-level progressions that reveal multiple paths to success. It’s not enough to have done it, been a part of it, or have a plan to do it. C-level leaders seek people who can adapt their knowledge to novel opportunities, challenges, and constraints. To get paid the big bucks, candidates must have systems, models, and frameworks to duplicate past results in a new setting and when everything doesn’t go according to plan A. I built my AI Strategist and AI Product Management Certifications around the systems, models, and frameworks that I have used for 9 years. Use the link under my name to reserve your spot and advance. #ProductManagement #Career

🚀 What we seek in our professional lives is growth and success. Achieving this requires dedication and effort, through levelling up, setting high standards, and setting small smart goals. You want success? 🌱 You have to learn new skills! Here are some profitable skills for 2024, across industries. Each one of them has career prospects and potential success. 1. Artificial Intelligence and Machine Learning: AI and ML drive innovation across sectors, increasing the demand for such professionals. 2. Data Science and Analytics: Data scientists and analysts are sought after for valuable insights and decision-making. 3. Cloud Computing: Businesses are migrating to cloud platforms like AWS and Google Cloud, offering significant opportunities. 4. Augmented Reality (AR) and Virtual Reality (VR): The market is rapidly expanding, with applications in gaming, healthcare, education, etc. 5. Communication and Interpersonal Skills: Effective communication and relationship-building remain valuable, opening opportunities in marketing, consulting, etc. 6. Emotional Intelligence and Well-being: As mental health awareness grows, skills in emotional intelligence, mindfulness, and well-being coaching can support individuals and organizations. 🤩 These skills represent trending opportunities across industries. Stay informed and develop your expertise for a successful career. #datascience #dataanalytics #machinelearning #skills #personalgrowth

Did you know? Digital transformation is reshaping industries, and businesses are harnessing data and AI to drive innovation. From marketing to software engineering, here are the key skills shaping the future world of work: 📊 Tech-lite roles like marketing executives and data analysts demand skills in Market Research, Trend Analysis, and Data Protection Management for agile responses to market shifts. 💻 Tech-heavy roles like software engineers and data scientists rely on Software Design, Programming, and Big Data Analytics for personalized customer experiences. ⚙️ Emerging tech skills such as Machine Learning, AI Ethics, and Autonomous Systems are on the rise, fueling the megatrends of AI and automation. Whether you're thinking of getting into a tech-heavy or tech-lite role, continuous learning is key to staying relevant and effective. Embrace the digital age and seize the opportunities it brings. Get your free guide to the digital age here: https://lnkd.in/gvqcUGHA #DigitalTransformation #FutureOfWork #TechSkills #InnovationInsights #work #career #singapore

Looking to stay ahead in the tech game? 🚀 Machine learning is not just a buzzword—it's reshaping the tech industry as we speak! From smarter apps to self-learning systems, the future of tech is all about machines that learn and adapt. But what does this mean for jobs? It's a game-changer! 🤖 The rise of machine learning is creating a surge in demand for skilled professionals who can design, train, and manage these intelligent systems. Think data scientists, machine learning engineers, and AI specialists—these are the hot roles on the horizon. For those in tech, it's time to embrace the change. Upskilling is key. Whether you're a developer, a project manager, or in a completely different field, understanding the basics of machine learning could be your golden ticket. 🎫 And here's where we come in. At TEEMA, we're not just about filling roles; we're about building futures. We've got our finger on the pulse of the industry, connecting top talent with cutting-edge opportunities. 🌟 So, are you ready to ride the wave of machine learning? Or perhaps you're looking to hire experts who can? Let's chat about how we can help you stay ahead of the curve. Drop a comment below or swing by teemagroup.com to explore your next big opportunity. 🌐 #MachineLearning #TechJobs #FutureOfWork

# Choosing Your AI Career Path AI careers boil down to two main paths: technical or hybrid. ## 1. Technical Path - Dive into coding as a data scientist or data engineer - Focus on writing algorithms and handling big data - Ideal for those who love problem-solving with code ## 2. Hybrid Path - Blend AI knowledge with business acumen - Serve as a project manager who understands AI applications - Perfect for those who bridge tech and business worlds Which path suits you best? Share your thoughts in the comments!