Samantha Reynolds
Portland, Oregon, United States
5K followers
500+ connections
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5K followers
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Samantha Reynolds shared thisThis video is too good not to share. The fish, OMG the fish! 🤣 https://lnkd.in/ev4jsMk6
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Samantha Reynolds posted thisWe have to change how we educate and reward engineers if we're going to help them learn to make the shift to thinking in terms of products and not PRs. I went to an internal engineering lunch and learn on agentic engineering last week. The team did a great job outlining their process, their learnings and their results. But towards the end, they were asking what role product was going to have in the future of Agentic engineering. My immediate response when I saw that slide was the opposite of their concerns. I'm far more concerned for my friends who are engineers than I am for product folks. I've seen tons of engineers fail at making the shift to product. We all have. And we're seeing more of it every day when it comes to engineers who can't make the shifts agentic engineering requires. I started off as an engineer. Worked my way up to being one of two global enterprise architects at Honeywell. Transitioning to product was one of the hardest shifts I ever made - and I had months to do it. Now engineers are expected to develop excellent product sense and other product fundamentals in days or weeks - and it's just not that easy. Mentoring alone won't help them succeed at making the shift, especially when agentic tools amplify the gap between "ships a lot" and "ships the right things." I was thinking how everyone is talking a lot about product taste, or product sense, these last few weeks. And yet most engineering orgs still implicitly (or even explicitly) reward the opposite by praising technical complexity or AI usage over tangible customer outcomes. So the engineer who refactors the system (again!) gets more visibility than the one who does the careful analysis and then deletes the features nobody uses, reducing our technical debt and UX complexity, while delivering a streamlined customer experience. Or the engineer who delivers two (half baked) features in the same week gets lauded, while the brave engineer who cancels a feature mid-stream when they realize they aren't solving the right problem for the customer gets beat up in their sprint retrospective. If we want engineers to develop good product sense, to start thinking critically about what makes a feature worth shipping and what will actually move the dial for our orgs, we have to change what gets praised in code reviews, what gets called out in demos, what gets promoted, and most especially - what actually passes a gate and gets launched. Otherwise engineers will simply nod politely at mentions of poor CX, tanking usage metrics and revenue numbers, and keep optimizing for what their managers actually grade them on. And who can blame them. Who gets rewarded, and why, matters. P.S. If anyone has any suggestions on ways we can help others make this shift, please share below. I think we're all struggling with how to help our friends right now.
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Samantha Reynolds shared thisAI best practice - change your displayed name in all of your AI tools to use one version of your name for personal projects, and another for work ones. That way, the minute you open it, you have a visual clue to remind you which AI instance you're in. For example, I'm Sami for work and Samantha for personal. Helps me avoid (more of) those "“Oops, wrong workspace" moments with IT when they ask what the heck I'm building for chocolate. :)
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Samantha Reynolds shared thisI just wrapped up the Agentic AI Product Management Certification with Agentic AI Institute, and my capstone project was awarded Most Market Ready Idea at Pitch Day. To be honest, this course was kind of a last minute decision, but I'm super glad I did it. I've spent years working in AI, starting in cybersecurity, moving through startups, picking up consulting. A lot of that learning was on the job or self-directed. It works, but it leaves weird gaps you don't notice until they catch you off guard. I didn't need the basics or even the intermediate stuff. What I needed was a structured, hands-on program to tighten up my frameworks and fill the quirky little gaps that on the job and rabbit hole learning always leave behind. This course did exactly that, and reminded me why I enjoy building with AI so much. Straight up, Mahesh Yadav is a kickass instructor with incredible breadth of knowledge. He has the street cred so many other instructors lack, and a good sense of humor, so this course was interesting, challenging and a bit of a rush. It reminded me of fundamentals I'd let get rusty (oops) and introduced frameworks I hadn't encountered despite years in the field. The hands-on labs and building my passion project were the highlight, cuz theory is fine, but building is where it always clicks for me. (When you find yourself looking at your phone at 2:30am with a 7:30am standup but you don't want to stop, you know you're having too much fun. #poorchoices #soworthit) When I got the notification that my capstone was awarded Most Market Ready, I was genuinely surprised. I'm building POEM for me, a few friends with startups, and folks who want to focus on building their products, not all the operations/lifecycle/security stuff founders get mired in. Because I'm so focused on building it, my pitch deck and demo were meh, i.e. functional, not pretty. POEM is an open-source multi-agent AI platform designed to FULLY automate the entire product lifecycle with gates, dashboards, too many agents (!) - basically designed to let you set it up the way you want to run your business. It's meant to be a workhorse that carries the load thru thick and thin. I want it to do all the stuff I don't want to do so I can focus on the fun stuff. (At this stage in life, more fun stuff is totally the goal. #sorrynotsorry) Having an instructor and cohort of smart, curious people who ask good questions and build interesting things recognize the value of what I'm building despite my not so stellar deck? Priceless. If you're looking to ramp up on AI product management, or want a structured refresher before something ambitious (dark factory, anyone?), give Mahesh's courses a look. Happy building y'all! More to come as I build out POEM. Discount link if you're interested (because with the price of GPUs, we all need to spend wisely): https://lnkd.in/gFncbbBp #AgenticAI #AIProductManagement #ProductManagement #BuildInPublic #AgenticAIInstitute #POEMAgentic AI Product Management Certification by Mahesh Yadav on MavenAgentic AI Product Management Certification by Mahesh Yadav on Maven
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Samantha Reynolds shared thisMy company is hiring for a Senior Product Manager for the Customer and Order space, 100% remote. If I've worked with you in the past, please feel free to reach out to me and I'll pass along the recruiter's direct contact info. :) https://lnkd.in/g6bdjBQS
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Samantha Reynolds shared thisIn case you need help sleeping tonight... :) "GAO’s spotlight document only scratches the surface of blockchain’s good and concerning aspects, but it breaks down the elevator pitch for blockchain into understandable terms. "
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Samantha Reynolds shared this"GrainChain this week announced that its blockchain network is being piloted by roughly 10% of Honduras coffee growers, or about 12,000 farmers, with an eye on going into full production around April 2020."
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Samantha Reynolds shared thisGreat to see this changing. Work, like everything else, isn't a rigid zero sum game. Flexibility and balance are necessary for both happiness and productivity. #flexwork #wfhYoung People Are Going to Save Us All From Office Life (Published 2019)Young People Are Going to Save Us All From Office Life (Published 2019)
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Samantha Reynolds shared thisSuch a great program for high schoolers. Teaches them to give back from a successful business perspective. #ChocolateUniversity #GiveChocolate University to mark 10th year with student trip to TanzaniaChocolate University to mark 10th year with student trip to Tanzania
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Samantha Reynolds reacted on thisSamantha Reynolds reacted on thisI was laid off yesterday in Nike's latest round of tech layoffs. I will truly miss my coworkers and the interesting technical challenges involved in building a software platform for a large company like Nike. I’ve worked in technology for more than 25 years, and amazingly this is the first time I’ve ever been laid off. I have not been unemployed since my wife and I moved from Boston to Portland in 1998 without jobs or a place to live. I plan to take the summer off and spend time outdoors in the beautiful Pacific Northwest. Hundreds of people at Nike have been impacted this week, and I feel for them and their families. I hope they all find their next job quickly. If anyone I’ve worked with needs a LinkedIn recommendation, please let me know. I will have plenty of free time to write one for you.
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Samantha Reynolds liked thisSamantha Reynolds liked thisHigh-performing founders don’t win by hoping investors believe them. They win by showing proof. When Scrub Daddy’s CEO, Aaron Krause, walked into investor meetings, he didn’t rely on big dreams or polished slides. He brought hard numbers—tens of millions in verified sales. Even more powerful? He was willing to put growth targets in writing. That move changed everything. By backing his vision with data—and taking personal risk—he shifted the room from skepticism to certainty. Doubt turned into confidence. Conversations turned into signed deals. While others talked about “potential,” he proved performance. That’s why he closed deals others couldn’t. ⸻ Lessons for Founders & Builders 1. Optimism doesn’t close deals—evidence does. Belief is cheap. Proof is persuasive. 2. Numbers build trust faster than narratives. Revenue, growth, and traction speak louder than vision boards. 3. Skin in the game changes the conversation. When you’re willing to commit in writing, people listen differently. 4. Confidence comes from preparation, not charisma. Walk in armed with facts, not just passion. 5. High performers remove doubt instead of arguing with it. They let the data do the talking. If you want people to bet on your vision—prove it first. ⸻ #Founders #StartupLife #EntrepreneurMindset #BusinessGrowth #InvestorPitch #Leadership #DataDriven #TrustBuilding #ScaleWithConfidence #GrowthMindset #PerformanceOverPromise #StartupAdvice #LinkedInTips #Entrepreneurship #SuccessMindset #ProofOverPromise
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Samantha Reynolds liked thisSamantha Reynolds liked thisThe new CEO of Apple will soon be handed the reins of a $4 trillion company. The first thing he ever built in his career was actually a mechanical feeding arm for people with quadriplegia. John Ternus joined Apple in 2001. 25 years later, he succeeds Tim Cook. Most people think Apple is behind on AI and to be fair, they are. Siri pales in comparison to what modern bots can do. Apple’s answer is not a services guy or chatbot hire, it’s John Ternus, the engineer who led the Mac’s transition to Apple silicon and shipped every single machine running M1, M2 and M3. The last time an engineer ran Apple, his name was Steve Jobs 🤔 Is on-device silicon the real moat? 👇
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Samantha Reynolds liked thisSamantha Reynolds liked thisWe're about to see an onslaught of consulting and IT services firms going big on working with AI platforms to deploy agents in the enterprise. And if you don’t understand why it’s happening, it’s an opportunity to reset your understanding of how the real world works. The real world will need a ton of help actually getting agents going in the enterprise. Companies deal with significant legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups, who can generally just design their organizations from the ground up to deploy agents into new workflows designed for them. This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new services startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology. We're seeing this a ton at Box, both in partnering with new forms of technology consultancies as well as existing systems integrators that are building out all new agentic practice areas to help enterprises work with their unstructured data and agents. These service providers will have the benefit of being able to work across multiple data platforms, as well as see common practices that work or fail within an industry. This knowledge ends up being incredibly valuable right now, especially given how fast things are changing. A corollary to this is also that the forward deployed engineer (FDE) model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows. There’s no shortcut to getting this work done for the enterprise, and the vendors are going to have to do a lot of this or risk low adoption. All of this type of work is going to be in high demand for quite some time, and it's incidentally another example of jobs that aren’t actually going away.
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Samantha Reynolds liked thisSamantha Reynolds liked thisI cut my Claude Code spend from $750 to $100/mo. Same PM workflow. Between March 23 and April 23, some Claude Code power users burned weekly quotas in 1-2 days. Anthropic shipped 3 bug fixes (v2.1.116+) and reset all subscriber limits. 4 root causes are still on your side: → Cache misses: lock tools + model at session start. ~90% hit rate is healthy on the 5-min cache TTL. Consider 1-h cache on the API. → Context bloat: 200K context window + 80% auto-compact is enough. Compact early, spawn subagents, /clear often. Skills can be called as agents. → Wrong model / effort: default effort burns ~2× the tokens of medium. Match effort to task and switch mid-session. → Wrong input format: screenshots, PDFs, and raw HTML are token-expensive. Use agent-browser not Claude in Chrome, pdftotext not Read. Consider a code graph. Most limit hits weren't your fault. The other half still is. Free PDF here: https://lnkd.in/dmC_3GuP --- You can't apply most of this advice in Cowork. And $20/mo advice may work for chats, not agentic workflows. Here's what to do: → Cowork now works with a free/any LLM: https://lnkd.in/d8YTXJNK → Starting on Claude Code as a PM: https://lnkd.in/dVFJ4Bix --- Tools featured (all on GitHub): → rtk-ai/rtk: CLI token-killer proxy → vercel-labs/agent-browser: accessibility-tree browsing → tirth8205/code-review-graph: AST repo map → juliusbrussee/caveman: terse-output skill → phuryn/claude-usage: my dashboard → Gronsten/claude-usage-monitor: community monitor --- P.S. Want to learn AI PM by building? On May 9 my hands-on Claude Code Certification opens. 4 weeks. You discover opportunities and ship full agentic products with Claude Code. No coding experience required. 40% off till Wednesday → https://lnkd.in/dWNfApWB
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Samantha Reynolds reacted on thisSamantha Reynolds reacted on thisTo my friends and former colleagues navigating the recent news at Nike: I see you. A wonderful life is waiting for you beyond the swoosh, and transitions can be hard - especially when they are forced... ESPECIALLY in this market. If you want to talk (vent, celebrate, or just process), you want some help in your AI journey, or you just want an excuse to reconnect after a long break - please DM me. BTW, my offer is also open to folks "left behind." Aside from inheriting extra pressure, losing daily interactions with close colleagues is a real loss. Your grief is valid, even if you still have a badge. Your feeling matter, too. #NikeAlumni #AI #CareerTransition
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IGNITE
- Present 13 years
Science and Technology
IGNITE™(Inspiring Girls Now In Technology Evolution) is a nonprofit 501(c)(3) educational program that addresses the lack of women in STEM related careers. Originally launched in the Seattle School District, IGNITE’s program connects school-age girls to professional women in STEM careers who act as role models and mentors. Now, as an international program, IGNITE has reached over 25,000 female students internationally. http://www.igniteworldwide.org/
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Anurag Verma
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