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Growing up in a tech-friendly household with an entrepreneurial father who owned retail businesses gave her early exposure to both technology and business operations. As VP of Operations, Kim worked with third-party engineering consultants to improve the platform’s ROI and customer outcomes.
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
Recently, at Hemnet, Sweden’s beloved property platform, she led product development that drove a 130% increase in top line revenues, making it the growth engine of the business. Leadership doesn’t always mean management Many professionals enter product management from technical backgrounds, such as engineering or development.
Additionally, he played a key role as a founding engineer at the online coding school Codecademy. For example, a sales engineer can rapidly spin up applications to showcase how your product works with APIs or other integrations. Use AI-powered platforms for quick prototyping. AI is powerful, but it’s not perfect.
Speaker: Heather Wilde, Coach, Speaker, and CTO at theDifference | Pandora Ovanessian, CIO, VP of Technology, and Technology Consultant | Steve McConnell, Author of Code Complete and CEO at Construx Software
Translating engineering and technological jargon in an accessible way, one that encourages contribution for improvement and helps your stakeholders understand your organizations achievements, is difficult. Choose the right engineering KPIs. Make the case that engineering goals are in sync with business goals.
Rather than rulers, product managers are navigators—balancing the competing demands of customers, engineers, designers, sales teams, and executives to ensure the right product gets built for the right reasons. The reality of product management is far from the commanding caricature the title suggests.
This approach has informed her success across different industries and roles, from retail to technology. This approach has informed her success across different industries and roles, from retail to technology.
Engineering may want to focus on technical debt, while marketing wants to accelerate a product launch. However, when push comes to shove, it’s also important to know when to compromise for the sake of maintaining relationships with key stakeholders. As a PM, you’re often stuck in the middle, tasked with balancing both needs.
We need engineers involved throughout. I started my career as a software engineer. The Evolution of Modern Product Discovery: A Quick Recap Back in the ’90s, a lot of times these decisions came from executives, from business stakeholders, and we treated our engineers like they were IT order-takers.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Artificial intelligence is not just a backend technology anymoreits now front and center in the user experience. Whether its a chatbot, a video generator, or an auto-agent, thoughtful interface design can turn an intimidating technology into an empowering experience. tutor, coach, assistant) - Transparent contextwindows 3.
Or think of leading a product team when, at the eleventh hour, the engineering team discovers a critical flaw that delays the launch by six months. Product managers skilled in adaptability are better equipped to handle unforeseen changes in customer preferences, competitive landscapes, and technological advancements.
Building Alignment: How to get buy-in from engineers, designers, and executives. If you’re looking to enhance your communication skills as a product leader, this episode is essential listening. What You’ll Learn: The Underrated Superpower: Why communication is the most essential skill for product managers.
Technology Curiosity and Fluency. Technology Curiosity and Fluency Technical empathy Bold exploration Speaks the language of engineers Not about coding, but about curiosity and fluency in tech conversations. Tech-fluent PMs bridge vision and feasibility by engaging deeply with engineers and navigating technical complexity.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward. There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data.
Signs it’s time to hire PMs: Bottlenecks in decision-making Engineers or designers are often confused or overwhelmed You're expanding into new product areas The type of PM you need depends on your product's stage: Pioneers: This type of PM excels in the zero-to-one phase. Listen now on Apple , Spotify , and YouTube.
We ask engineers to estimate user stories and we get an eight if we’re using the Fibonacci sequence or an extra large T-shirt size. I’m a little afraid to try this new technology, but I don’t want to fall behind. Teresa Torres: I have a good analogy for this one, too. And we’re like, what? How does my role change?
We want to help those direct managers or leaders over those pilot team members to know what’s different about working in an outcome-oriented environment, as well as the stakeholders that might be outside of the product/technology/design part of the org to know what they need to do differently.
Previously, he spent nearly eight years at Palantir, working as a forward-deployed engineer. Removing hierarchical titles (making everyone “forward-deployed engineers”) reduced internal competition and politics, forcing recognition based on merit and impact rather than position.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.
Cross-functional participation improves outcomes : Involving engineering and design early in discovery fosters shared understanding and reduces rework. Continuous Discovery Discovery should be part of the work, not an extra layer : When treated as a side activity, discovery is often rushed, deprioritized, or ignored.
One senior IC, Tal Raviv, who appeared on a recent podcast with Lenny, offered this advice: “There’s a really good analogy here in engineering: … You shouldn’t have to rise into management in order to increase your compensation. Many companies now recognize and value experienced ICs who can drive substantial impact.
Delta is the next generation of beta testing, leveraging Centercode technology to automate time consuming tasks while increasing user engagement and test results. In this post, youâll learn how to tailor customer insights for three key groups: product managers, engineers, and executives. Schedule a demo to talk with an expert.
Product leaders are quick to invest in tools, platforms, and tech upgrades but often overlook the human capability needed to bring those technologies to life. We’ve become fluent in the language of technology. In 2022, Deloitte found that organisations invested 5.49% of their revenue in technology. It’s Human.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance. . 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Tesla’s Roadmap and Lessons from First Principles Historically, car manufacturing has been dominated by internal combustion engine (ICE) vehicles. Guided by fundamentals and first principles — Tesla transformed the trajectory of automotive technology. A roadmap that’s both grounded in proven principles and an innovative product.
Why cybersecurity is central to compliance As organizations increasingly rely on AI and other advanced technologies, the risks associated with data breaches, cyberattacks, and unauthorized access have become more significant. Consider bespoke security engineering services to enhance your AI systems' security posture.
Technology and processes? Technology Roadmap Figure out the dev stack, the product backlog tools (Jira vs. Build a sense of shared pride by taking their best ideas company-wide. Hot Tip: At one acquired company, Brian discovered they used a rare programming language (Clojure) that none of his existing engineers knew.
Achieving and Scaling Product-Market Fit: A Guide for Product Managers in Mid-to-Large Tech Companies Introduction As product managers in mid-to-large technology companies, you’re no stranger to the challenges of maintaining and scaling product-market fit (PMF).
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This is even more true today, with technology evolving fast. At the end of the day, we are the ones who place the bet (not the Engineer or the Designer). Theres no such thing as a sure thing. Every decision is made with the best insights available at the time, knowing that things will shift as new data and feedback emerge.
Remember the PM equivalent of “I’m not a lawyer” and “This is not financial advice” — I would never estimate a project on my own without working closely with engineering. Ensure you have your technology set up appropriately and know how to use Google Meet / Zoom / whatever the hiring company uses.
This methodology of bringing value to end users will ensure that everything is there: a long list of features, ergonomics, and technology. Enable with Technology: Data+AI+ROI The system must feel intelligent — reacting to behavior, tailoring context, and adapting value dynamically. It’s part of the core delivery engine.
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Speaker: Kevin Goldsmith, Chief Technology Officer at Anaconda | Peyman Pouryekta, CEO and Technology Advisor | Bob Webber, VP Product Flow Optimization, Construx
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AI Vision : Intelligently match customers with their ideal car through a sophisticated, single-prompt recommendation engine. This approach is anchored in robust ethical AI frameworks, balancing technological potential with responsible implementation. ML transforms raw data into meaningful, context-aware insights.
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How design is becoming the engine — not just the interface — of modern products. This isn’t about turning every designer into an engineer. We don’t just deliver UI — we deliver clarity, empathy, and usable solutions that can flex across tools, technologies, and teams. But what surprised me most wasn’t the launch.
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Simplify security • Paragon —Ship every SaaS integration your customers want — Aman Khan is Director of Product at Arize AI, an observability company for AI engineers at companies like Uber, Instacart, and Discord. He has also led and worked on products at Cruise, Zipline, and Apple.
It happened with PMs, engineers, designers, and marketers at all levels of seniority and tenure. Conduct the API endpoint experiment APIs are wonderful because they allow engineers to get tasks done by simply relying on the interface and ignoring all the underlying complexity behind it. Every few weeks, new projects are planned.
Collaborating on digital product design with engineers or managers follows the same principles as the prisoners dilemmaboth of you can either cooperate or defect. For example, the more technical the product, the larger the designers technology gap that must be filled by an engineer. Prisoners dilemma in digital productdesign.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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