I’m hiring again at @GoogleLabs! After the amazing response to the last opening, I'm excited to share that I have another role open on the team: Senior Product Manager for 0-1 AI Products 🚀 We have so many new ideas taking shape and need another builder to make them real!
Because of the unique nature of this role - incubating entirely new AI products from the ground up - I am looking for the exact right fit. You might not have decades of experience yet, but you have a strong, hands-on background in building AI-native consumer products, have done the 0-to-1 thing before, and know how to navigate an established company. And, above all else, someone who will be an incredible addition to the culture, chaos, and energy of our team.
If you thrive in the ambiguity of early-stage development, have a sharp instinct for making complex things simple, aren't afraid to think BIG while also knowing how to get started with an opinionated MVP, and want to build things users love, please apply! And if you know someone who might be a good fit, please tell them about this!
*A few quick notes:
1. This is a Senior PM role (less experience needed than for the GPM role I posted about last time)
2. The role is in Mountain View
🔗 Application link in the thread below 👇
@jacalulu Smart Brevity - you can't go wrong with saying more with less!
Axios - Smart Brevity book - Smart Brevity: The Power of Saying More with Less https://t.co/0Job8hzRWX
We’re introducing new @GeminiApp features tailored for small businesses everywhere. You’ll be able to:
🤝 Connect your Google Business Profile to Gemini, allowing Gemini to act as an AI assistant that understands your real-world business context
📓 Stay ahead with Business Notebooks, a new focused space where you can organize information from your chats, sources, Google Business Profile and website
@joshwoodward@GeminiApp@FlowbyGoogle It's also surprisingly good at Rube Goldberg machines! 🤯
"A Rube Goldberg machine setup on a beach with natural materials"
OpenAI vs. Anthropic gets all the attention, but @GoogleLabs is quietly shipping some of the most interesting AI products right now.
I made a 16-min video showing you what 5 Labs products are capable of:
1. Pomelli for marketing
2. Stitch for design
3. Genie for 3D worlds
4. Flow for videos
5. NotebookLM for synthesis
📌 Watch now: https://t.co/VztXVKO5Gu
we are designing something special for Google IO and we want you to be part of it
reply with your AI Studio app, along with a 1-sentence story on how and why you vibe coded it
🍌🍌 Nano Banana 2 just launched and I'm excited about what it means for product builders.
Pro level quality and flash speed changes what you can build and how you ship.
Speed unlocks iteration. You can rapidly test and refine workflows and explorations. And it means a better product experience for your end user.
So what can Nano Banana 2 do?
📐 Aspect ratio control - generate the same scene in 4:1 panoramic, 1:4 vertical, 8:1 ultra-wide
✍️ Text rendering - precise typography and characters
📦 Product mockups - package designs and cards with exact styling
🔍 Upscaling - 512px to 4K without artifacts
🌄 Complex scenes - nature photography with specific lighting
Can't wait to see what everyone builds with this 🚀
We are in the era of so many new insights and ways to consume them.
Which of these would you run on your own data first? Share your most useful prompts and analyses!
The analyses Amazon probably doesn't want you to do (plus some fun!)..
Your Amazon order history is a mirror of your life’s transitions, but the standard interface is designed to make you shop, not reflect.
By using Gemini and @NotebookLM, you can generate tremendous insights from your own data. I uncovered subscriptions that kept increasing in price, connected shopping dots in some crazy ways, and had fun listening to podcasters debate my shopping habits 😆
Here is how to do it and 4 ways to analyze your spending:
1. Visit https://t.co/3GHbK5OfKr and request "Your Orders" data.
2. Confirm via email and wait a few days for a download link (Amazon doesn't make this easy!)
3. Download the provided ZIP file and extract the OrderHistory.csv file.
4. Upload the csv to @NotebookLM .
5. Use these prompts directly in NotebookLM or add the Notebook as a source in Gemini and prompt away! 👇
Most people can't afford a private chef, an estate manager, and a forensic accountant. But your data + Gemini gets you 90% of the way there. This prompt turns Amazon data into a high-performance household strategy. This one works great as a NotebookLM Deck!
Prompt (adjust if you don't use Amazon or Wholefoods for groceries):
Act as a high-end Estate Manager, a Michelin-star Chef, and a Forensic Accountant. Analyze my grocery purchase history from the last 12 months.
The Accountant: Identify my 'Convenience Taxes'—where am I overpaying for pre-cut, pre-marinated, or single-serve items? Quantify the potential annual savings if I swapped these for whole ingredients.
The Estate Manager: Audit my pantry strategy. Based on my purchase frequency, which dry goods and household essentials should I move to bulk procurement to reduce 'logistics friction' and unit cost?
The Chef: Critique my culinary diversity. Based on my protein and vegetable staples, suggest 5 'expansion' ingredients that fit my price profile but offer better nutritional or culinary variety. Replace high-cost, low-yield items (like bagged florets) with seasonal, whole-food alternatives.Give me a structured 'Household Optimization Plan' for next quarter.
Assemblage sculpture, Joan Steiner style. DENSE Champs Elysee , Custom Era theme. Macro-lens. mappings: Arc de Triomphe Structure as Stacked Louis Vuitton Monogram Trunks, Arc de Triomphe Archway as Cartier 'Love' Gold Bracelet, Relief Carvings as Givenchy Guipure Lace fragments, Attic Frieze as Row of Patek Philippe watch dials, Eternal Flame as Orange Hermès silk ribbon tuft, Avenue Roadway as Black Chanel compact cases, Road Markings as Dior white silk gift ribbons, Sidewalk Paving as Tan Saffiano leather swatches, Tree Trunks as Ebony makeup brush handles, Tree Foliage as Crumpled green Hermès 'Carré' silk scarves, Street Lamp Posts as Silver Montblanc Meisterstück pens, Lamp Globes as Chanel faux-pearl earrings, Morris Columns as Guerlain lipstick tubes, Advertising Posters as Miniature printed silk labels from garments, Cafe Tables as Round Chanel mirror compacts, Cafe Chairs as Gold-plated safety pins, Cafe Awnings as Striped silk pocket squares, Coffee Cups as White porcelain buttons, Macarons on Table as Pastel-colored gemstone studs, Grand Palais Glass Roof as Faceted crystal Lalique perfume bottle, Grand Palais Columns as White Dior eyeliner pencils, Obelisk (Place de la Concorde) as Gold YSL Touche Éclat pen, Obelisk Tip as Gold pyramid stud from a Valentino bag, Traffic Lights as Ruby, Citrine, and Emerald jewelry studs, Luxury Cars as S.T. Dupont lacquered lighters, Car Headlights as Small diamond-cut crystals, Tour Bus as Goyard canvas long wallet, Bicycle as Twisted gold necklace chain and watch gears, Subway Entrance Arch as Green enamel Art Nouveau brooch, Pedestrians as Glass perfume bottle stoppers, Fashion Models as Silver thimbles wearing silk thread wraps, Handbags as Jewelry clasp charms, Street Benches as Brown crocodile-skin watch straps, Trash Cans as Silver mesh watch bands, Flower Boxes as Empty Diptyque mini candle jars, Flowers as Multi-colored sapphire clusters, Flagpoles as Silver sewing needles, French Flag as Tricolor silk ribbons, Hotel Windows as Glass perfume vials, Wrought Iron Balconies as Black lace trim, Roof Tiles as Overlapping gold sequins, Chimneys as Copper aglets from luxury shoelaces, Boutique Signs as Embossed leather logo tags, Bollards as Black onyx beads, Gutter Grates as Perforated metal leather punch remnants, Newsstand as Miniature leather-bound notebooks, Clouds as White ostrich feather plumes, Sun as Gold Chanel 'Sun' brooch, Sky as Light blue Moire silk fabric, Fountain Water as String of clear Swarovski crystals, Dog (Poodle) as White mink fur pom-pom, Curbing as Silver zippers from a Balenciaga bag, Statue pedestals as Ivory soap bars carved with monograms, Manhole Cover as Cufflink from a tuxedo shirt, Street Performers as Antique silver charms,
Came across Joan Steiner's Look-Alikes at the library yesterday with my toddler and remembered how much I used to love them.
Made me wonder what it might look like if she had access to materials from different eras. What about different countries?
So I built up a quick app in AI Studio using @NanoBanana and Gemini. Now any scene, era, and location can serve as inspiration for your own assemblages. (Of course, none as great as the late Steiner!)
Generate your own images in the app or copy the prompts to wherever you like to generate images.
https://t.co/vb9Rq3GxSe
Assemblage sculpture, Joan Steiner style. DENSE Google office, Early 2000s tech start-up in silicon valley theme. Macro-lens photography of miniature physical model. mappings: Wall panels as Blue 3.5-inch floppy disks, Floor tiles as Square yellow Post-it notes, Ceiling tiles as Saltine crackers, Server racks as Stacked black cassette tapes, Server wiring as Multi-colored rubber bands, Main whiteboard as Blank index card, Whiteboard markers as Multi-colored birthday candles, Office desk as Ace of Spades playing card, Desk legs as Unsharpened pencil stubs, CRT Monitor as Sugar cube painted grey, Keyboard as Black zipper segment, Computer mouse as Grey sunflower seed, Office chair seat as Blue plastic bottle cap, Office chair base as Twisted silver paperclip, Trash can as Metal thimble, Discarded memos as White bread crumbs, Bean bag chair as Dried apricot, Lava lamp as Clear medicine capsule with red beads, Water cooler tank as Upside-down perfume sample vial, Water cooler base as White LEGO brick, Disposable water cups as Blue pen caps, Snack bin as Clear plastic egg carton section, Bulk pretzels as Real micro-pretzels, Cereal boxes as Matchboxes with custom labels, Coffee machine as 9V battery, Coffee mug as White toothpaste cap, Bookshelf as Kit-Kat candy bar, Technical manuals as Individual matchbooks, Laptop (open) as Folded silver gum wrapper, Palm Pilot as Black licorice square, Employee (standing) as Peanut in its shell, Employee (sitting) as Whole cashew nut, Google Logo 'G' as Blue gummy bear, Google Logo 'o' as Yellow Cheerio cereal, Google Logo 'g' as Blue Fruit Loop, Google Logo 'l' as Green Mike and Ike candy, Google Logo 'e' as Red gummy worm segment, Window frame as Red Twizzlers Pull-n-Peel, Window glass as Stretched cling wrap, Landscape tree outside as Broccoli floret, Office desk plant as Sprig of fresh parsley, Plant pot as Acorn cap, Wall clock as White four-hole shirt button, Clock hands as Slivers of black electrical tape, Nerf gun as Orange Tic-Tac, Nerf darts as Orange-tipped matchsticks, Foosball table as Empty matchbox shell, Foosball players as Yellow and red plastic toothpicks, Ethernet wall jack as Single white LEGO stud, Hanging cables as Strands of grey embroidery floss, Radiator as Black fine-tooth comb, Area rug as Square of blue denim fabric, CD-R spindle as Stack of small metal washers on a toothpick, Power strip as White stick of Chiclets gum, Soda cans as Stacked silver eyelets, Poster on wall as Vintage postage stamp, Door as Graham cracker, Doorknob as Brass thumbtack, Ventilation grate as Small piece of window screening,