Gustavo is a Strategy & Operations Director at the health-tech company K Health. Drawing on his strategic consulting background from McKinsey & Company, he specializes in transforming complex business challenges into clear, achievable roadmaps. His leadership experience at K Health has also given him first-hand expertise in scaling AI-driven healthcare solutions and delivering superior user value at a rapid pace.

Gustavo Bolgè

Apurv is a Product Manager with a track record of leading complex products from early ideation to successful market launch and revenue generation. He brings over seven years of product leadership experience across high-impact technology environments. Apurv holds an MBA from the UC Berkeley Haas School of Business and a master’s degree in Mechanical Engineering from Michigan Technological University

Apurv Naman

Product Roadmap

Product Strategy

Community Post

The ROI blueprint: Optimizing design and engineering for economic value

Nirmayee (Nemo) Dighe is an Associate Director of Business Intelligence with a strong track record in analytics, data strategy, and AI adoption. She focuses on bridging the gap between business and technology, helping organizations translate data and AI capabilities into clear insights, scalable solutions, and measurable business impact.Her work spans business intelligence, advanced analytics, AI strategy, data governance, and digital transformation. Nirmayee partners with stakeholders, product leaders, and engineering teams to enable data-driven decision-making and responsible, practical AI adoption across the enterprise. Beyond her corporate role, Nirmayee is an active leader in the technology and professional development community. She serves as Program Lead for the Girls in Tech Women in Technology San Francisco Chapter, Director of Professional Development (PDD) for the PMI Buffalo Chapter, and a Mentor with Women in Agile. Through these roles, she supports professionals navigating careers in product management, project management, analytics, and technology leadership. Nirmayee is also a frequent industry speaker on AI adoption, analytics leadership, data governance, and the future of work, with a passion for empowering women and underrepresented leaders in technology.

Nirmayee Dighe

Driving product decisions with AI as your copilot

Join our podcast hosts Lily Smith and Randy Silver for in-depth conversations with some of the best product people around the world! Every week they chat with people in the know, covering the topics that matter to you - solving real problems, developing awesome products, building successful teams and developing careers. Find out more, subscribe, and access all episodes on <a href="https://www.mindtheproduct.com/the-product-experience/">The Product Experience homepage</a>.

The Product Experience

Podcast

Why 95% of employees don't know their company strategy

Dan Apps is the Founder and Managing Director of ARCANED. He is a product leader with 17 years’ experience, including 12 years client-side, and is often brought in to help organisations stabilise complex delivery and turn unclear plans into executable work. His focus includes programme recovery, product operating models, and aligning leadership, product and engineering around what needs to be true before teams scale delivery. Dan is also the creator of the BackBuild Framework, a practical approach to mapping dependencies and sequencing high-risk work.

Dan Apps

Case Study

A case study: Sequencing a high-risk migration before the teams arrived

Illia Smoliienko is the founder & engineering leader at Sivense, an expert with over a decade of experience in Industrial IoT and the implementation of Predictive Maintenance strategies. Throughout his career, Illia has led the development of comprehensive ecosystems of products and services addressing the core needs of IIoT platform users. He has successfully deployed large-scale condition monitoring projects for global companies such as DHL, Michelin, Nike, Nestlé, and Tesla.


Illia Smoliienko 

Product Management Skills

Product Management Career

Training developers as an investment: How technical leaders can identify real ROI

The document that replaces PRDs — Rags Vadali

Mike Song is a product manager with 10+ years of experience building AI-powered products and growth systems for B2B companies. He works across the full product lifecycle, from defining strategy through implementation and refining the processes that help companies ship reliably.

Mike Song

Artificial Intelligence (AI) & Machine Learning (ML)

Don’t fix LLM problems you haven't named yet

Priyank is a product leader with 10+ years in tech and 6 years in product management, working on AI-powered consumer and enterprise products. He focuses on product judgment, AI placement, and building customer-centric systems that balance intelligence, reliability, and trust.

Priyank Sharma

What I learned about decision surfaces the hard way

What I learned moving from Amazon to a not-for-profit

Lanre Fadire is a Senior Product Designer with 7+ years leading product design strategy initiatives across B2B SaaS companies including Morressier (scientific publishing, recently acquired) and Summer PBC (education benefits, Series B). He focuses on connecting user research to business strategy and has contributed to products that serve 300K+ users and secured enterprise clients like IEEE and the American Chemical Society.

Lanre Fadire

Product Discovery

When user research reveals you’re solving the wrong problem

Alok Abhishek is a Director of Product Management and product leader with over 15+ years of experience building AI-first enterprise software and data platforms from early concept through product-market fit. He has led multiple zero-to-one product launches, spanning product vision, customer discovery, strategy, go-to-market, and scale.

His work focuses on agentic AI and AI-native product strategy, building differentiated products that translate emerging AI capabilities into clear customer value and sustained adoption. He is also an independent researcher and writer, with work published in both academic and industry venues, including MIT Science Policy Review, IEEE Computer Society Tech News, ILTA, DATAVERSITY, and TechStrong.ai.

Articles