Product leadership workshops in Toronto and Kitchener workshops co-led with Saeed Khan. We’ll look at organizational structures, leadership roles, portfolio-level prioritization, mentoring, and other product leadership challenges. A very full day of learning, sharing, collaborative problem-solving.
I’m offering a ‘Designing the Product Organization” workshop: a full-day session for new product leaders and senior individual contributor product managers on what product leaders do; approaches to designing product management orgs; and career options to move into leadership roles.
Most companies that need a Head of Product Management don’t know how to find one. They write kitchen sink job descriptions; look for subject expertise instead of product expertise; fail to organize their interview process; and eventually give up on hiring the right product leader. (Or repeatedly hire wrong folks who don’t stay.) This talk will disassemble the problem, then offer recommendations for getting it right.
This podcast on Creating a Thriving Product Organization covered a lot of ground: becoming a product leader; what to do in your first month on the job; conditions that enable product teams to be their best; and Impostor syndrome.
Synerzip webinar for product managers (and others) with tips for working with data scientists and DS/AI/machine learning projects.
How do we provide additional context? Understand possible failure modes? Define “done” operationally rather than academically?
Rich Mironov was MC for Australia’s largest product conference in Melbourne and Sydney (October 2019). Organized by Brainmates, this year featuring Radhika Dutt, Bruce McCarthy, John Zeratsky, Sally Foote, and Audrey Cheng — plus Rich’s personal reflections on three decades of increasing visibility for product management.
Product managers working with data science teams on production applications have more challenges than with more deterministic (traditional) applications. These include providing more business/user context, not assuming that data will be predictive, and discussing accuracy requirements at the very start of a project.