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  • The brief
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  • This week · 6
  • This quarter · 10
  • Big bets · 3
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Generated Oct 23, 2026
  1. Programmable
  2. Playbooks
  3. DigitalOcean
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growth playbook · Oct 23, 2026

digitalocean.com (opens in a new tab)

DigitalOcean growth playbook

Diagnosis

DigitalOcean is a profitable public cloud ($901 million revenue in 2025) remaking itself as an AI-native cloud, with AI customer ARR up 150% and Managed Agents launched in September.

Its marketing hiring points the same way: AEs for venture-backed AI startups with $1M+ cloud budgets, product marketers to make the Agentic Inference Cloud their first choice with real proof, a field team for founders and VCs, a unified communications lead and Cloudways content on hosting and AI agents.

The site lags in places: the startup solution page still sells hosting with no mention of AI, the pricing page is titled "Budget-Friendly Cloud Server Pricing", key pages have no share image, and Together AI uses nearly the same headline. This playbook fixes those first, then builds fund partnerships, founder pilots, reproducible proof, activation of startup credits and an agent-first signup path.

Growth Score

7/10

Biggest Opportunity

Win AI-native startups at the moment they choose a cloud: a startup page, fund partnerships and founder events that all tell the same AI story and lead straight to a pilot or an AE.

Biggest Risk

Together AI, CoreWeave, Modal and the hyperscalers all claim the AI cloud; if DigitalOcean's pages and proof lag its product, AI-native startups will see it as a cheap hosting provider rather than an inference platform.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Turn /solutions/startups into the front door for AI-native startups

    Swap the hero and title of /solutions/startups for an AI-native message and link to /startups.

    High impact First result in 1 month
  2. 2

    Add share images to the homepage, startup, pricing and customer pages

    Add a default share image site-wide.

    Medium impact First result in 2 weeks
  3. 3

    Retitle the pricing page and explain the two GPU prices

    Rewrite the title and description.

    Medium impact First result in 2 weeks

02

Your idea portfolio

22 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 6 ideas are marked Unexpected: plays you are unlikely to have tried.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 1Big bets · 12Fill-ins · 5Reconsider · 4
Effort →

Showing 22 of 22 ideas

This week 6

Quick wins with a clear first action.

  • 01

    DigitalOcean is hiring AEs to sell to venture-backed, AI-native startups with $1M+ cloud budgets and a PMM to make the Agentic Inference Cloud their "first choice". But /solutions/startups, titled "Hosting for Startups", never mentions AI, GPUs, inference or agents in its own content: it sells Droplets and cheap bandwidth with older testimonials, and a second page, "Startup Hosting | Affordable Hosting in Minutes", competes for the same searches. The AI-native story and the startup program live on /startups, so a founder searching "DigitalOcean for startups" can land on the hosting pitch.

    High impactLow effort First result in 1 month Senior Manager

    First action

    Swap the hero and title of /solutions/startups for an AI-native message and link to /startups.

    How to measure it

    Startup applications and AE meetings from /solutions/startups

    Now
    –
    Target
    2x today
    By
    90 days

    Steps

    1. 1

      Agree the message

      AI-native startup promise and three proof points.

      Senior Manager, Product Marketing 2 days

    2. 2

      Rewrite the page

      Inference, agents, credits, stories, sales path.

      Senior Manager, Product Marketing 1 week

    3. 3

      Decide on the duplicate

      Merge or retarget /solutions/startup-hosting.

      SEO team 1 day

    4. 4

      Route big spenders

      A form question on expected spend; $1M+ goes to AEs.

      Sales Operations 2 days

    5. 5

      Update metadata

      Title and description for AI-native founders.

      SEO team 1 hour

    6. 6

      Tell the field team

      Use the page for founder events.

      Director, Field & Event Marketing 1 day

    7. 7

      Measure

      Applications, AE meetings and GPU credit requests.

      Growth team 6 weeks

    First result
    1 month
    Cost
    Staff time only
    Owner
    Senior Manager, Product Marketing

    Smallest test

    Change the hero and title this week and compare applications for a month.

    Why it works

    Rewrite /solutions/startups for AI-native founders: the inference stack and Managed Agents, the three startups that left hyperscalers (Specra.AI, ACE Studio, Probably AI) with their numbers, the startup program credits and GPU credit packages, and a "Talk to a startup AE" path for teams spending $1M+. Merge /solutions/startup-hosting into it with a redirect, or point it at web-hosting buyers only.

    The page then matches the people the new AEs and event team are chasing, and every founder dinner, VC intro and search lands on the same story with a route to sales.

    Ready to use

    ChecklistStartup page rewrite

    [ ] Title and hero for AI-native founders
    [ ] Inference, Managed Agents and GPU credits
    [ ] Specra.AI, ACE Studio and Probably AI results
    [ ] Startup program credits and support
    [ ] "Talk to a startup AE" for $1M+ spend
    [ ] /solutions/startup-hosting merged or retargeted
    [ ] Applications tracked by source

    Risks and how to handle them

    • Losing hosting traffic

      Keep a hosting section and link to hosting pages.

    • Claims without proof

      Use only published customer numbers.

    Evidence

    • Your website/solutions/startups, title "Hosting for Startups - Build & Scale in the Cloud": "We remove the complexity and unpredictability from choosing which cloud to run your startup on"; sections on Droplets, Kubernetes, databases and bandwidth ("~10-20% of what other clouds do"); testimonials from NitroPack, Flowspace and Yobi; no mention of AI, GPUs, inference or agents anywhere in the page's own content (outside the shared site menu and footer). A second page, /solutions/startup-hosting, is titled "DigitalOcean Startup Hosting | Affordable Hosting in Minutes".Source
    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source
    • HiringSenior Manager, Product Marketing (posted July 28, 2026): "ensuring our Agentic Inference Cloud is the first choice for the next generation of AI-native startups"; define "who it's for, what it replaces, and why it wins"; "Ensure every launch includes rigorous proof points"; own "pitch decks, playbooks, competitor comparisons, and talk tracks".Source
    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
    • HiringDirector, Field & Event Marketing (posted July 21, 2026, updated October 15): owns events "from our flagship DigitalOcean Deploy conference to creative startup events that engage founders and VCs", "hands-on hackathons and workshops"; "This isn't a logistics role"; "Partner with Sales, Product Marketing, Product, and Growth ... pipeline tracking".Source
  • 02

    The homepage, /startups, /solutions/startups, /pricing, /products and /customers have no social share image, so every link posted by the field team, PR and founders shows as plain text. The new MarCom lead owns social channels.

    Medium impactLow effort First result in 2 weeks Senior Director

    First action

    Add a default share image site-wide.

    How to measure it

    Social click-through

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Default image

      Site-wide fallback.

      Web team 1 day

    2. 2

      Design top 20

      Page-specific images.

      Brand Design 1 week

    3. 3

      Add tags

      og and twitter tags.

      Web team 2 days

    4. 4

      Check previews

      LinkedIn, X, Slack.

      Senior Director, Marketing Communications 1 day

    5. 5

      Template

      Auto images for stories and posts.

      Web team 1 week

    6. 6

      Measure

      Social referral traffic.

      Growth team monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Senior Director, Marketing Communications

    Smallest test

    Add the homepage image today.

    Why it works

    Design share images for the top 20 pages (AI-Native Cloud, startups, pricing, Managed Agents, each customer story) and add a default image for every page without one.

    Links with images get more clicks and look official in founder Slack groups and press coverage.

    Risks and how to handle them

    • Images go stale

      Generate from page data.

    Evidence

    • Your websiteThe homepage, /startups, /solutions/startups, /pricing, /products and /customers have no og:image or twitter:image tag (checked October 22, 2026), so shared links show no preview picture.Source
    • HiringSenior Director, Marketing Communications (posted July 29, 2026): unify "public relations, corporate communications, and analyst and influencer relations", oversee "all corporate digital and social media channels" and set "attribution metrics across all communication vectors" for "brand sentiment, and pipeline influence".Source
    • HiringDirector, Field & Event Marketing (posted July 21, 2026, updated October 15): owns events "from our flagship DigitalOcean Deploy conference to creative startup events that engage founders and VCs", "hands-on hackathons and workshops"; "This isn't a logistics role"; "Partner with Sales, Product Marketing, Product, and Growth ... pipeline tracking".Source
  • 03

    The pricing page leads with Agent Droplets, inference and GPUs, but its title still says "Budget-Friendly Cloud Server Pricing" and its description promises a server "without the hefty price tag". The technical PMM brief rejects "per-token cost wars". The GPU card also says "Starting at $1.91" for committed use and "from $0.76" on demand, which reads backwards without the GPU models named.

    Medium impactLow effort First result in 2 weeks Staff Technical Product Marke…

    First action

    Rewrite the title and description.

    How to measure it

    Pricing search click-through

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      Write metadata

      AI and cloud pricing.

      Staff Technical Product Marketing Manager 1 hour

    2. 2

      Fix GPU card

      Name the GPUs.

      Staff Technical Product Marketing Manager 1 day

    3. 3

      Review

      Finance and legal.

      Pricing team 2 days

    4. 4

      Publish

      Pricing page.

      Web team 1 day

    5. 5

      Check search

      Search Console.

      SEO team 2 weeks

    6. 6

      Measure

      GPU page visits.

      Growth team monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Staff Technical Product Marketing Manager

    Smallest test

    Change the title today.

    Why it works

    Write a title and description around predictable AI and cloud pricing ("one price, one bill"), and name the GPU behind each GPU price with a link to the full table.

    Pricing is a top search result for the brand, and clear AI pricing is a selling point against hyperscaler bills.

    Risks and how to handle them

    • Price confusion

      Show both prices with the GPU names.

    Evidence

    • Your websitePricing page title "Budget-Friendly Cloud Server Pricing" and description "Need a powerful cloud server without the hefty price tag? ... unbeatable prices", while the page leads with AI: Agent Droplets, Harness Runtime from $0.0535/hr, Action Gateway from $0.10 per 1,000 calls, Inference from $0.05 per million tokens, and GPU Droplets "Starting at $1.91/GPU/hour* ... Based on multi-month contractual commitment. On-demand pricing from $0.76/GPU/hour."Source
    • HiringStaff Technical Product Marketing Manager (San Francisco and Seattle, posted July 21 and September 3, 2026): positioning "grounded in provable value, not benchmark theater or per-token cost wars", with "a real-time view of frontier labs, hyperscalers, inference providers, and neoclouds"; "Create technical demos, sample apps, and code (Python, JavaScript)". Two Senior Technical PMM roles are also open.Source
    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
  • 04

    DigitalOcean's homepage title is "AI-Native Cloud"; Together AI's is "The AI Native Cloud". CoreWeave and Modal also claim AI cloud. The PMM is asked to define "what it replaces, and why it wins", and DigitalOcean's real difference is breadth: agents, inference, data and core cloud on one bill.

    High impactMedium effort First result in 1 quarter Senior Manager

    First action

    List rival taglines and pick three candidate lines.

    How to measure it

    Ad click-through on the new line

    Now
    –
    Target
    +15%
    By
    1 quarter

    Steps

    1. 1

      Map rivals

      Taglines and claims.

      Staff Technical Product Marketing Manager 1 week

    2. 2

      Draft lines

      Three candidates.

      Senior Manager, Product Marketing 1 week

    3. 3

      Test

      Ads and landing pages.

      Growth team 1 month

    4. 4

      Ask sales

      Which lands in calls.

      Account Executive - Commercial 2 weeks

    5. 5

      Roll out

      Site, decks, events.

      Senior Manager, Product Marketing 1 month

    6. 6

      Measure

      Branded search and recall.

      Growth team quarterly

    First result
    1 quarter
    Cost
    Ad test budget
    Owner
    Senior Manager, Product Marketing

    Smallest test

    Run two ad variants for two weeks.

    Why it works

    Test a sharper line built on what only DigitalOcean has (for example "Agents, inference and cloud on one bill"), use it in titles, ads and the Deploy keynote, and track branded search and sales feedback.

    Sharing a tagline with a rival makes both forgettable; a distinct claim helps buyers and AI assistants tell them apart.

    Risks and how to handle them

    • Brand change fatigue

      Keep AI-Native Cloud as the category, change the claim.

    Evidence

    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • Competitor researchRivals' own homepages: Together AI's title is "Together AI | The AI Native Cloud"; CoreWeave, "The Essential Cloud for AI"; Modal, "The platform for production AI"; Render, "The cloud for builders ... Deploy and scale any app or agent".Source
    • HiringSenior Manager, Product Marketing (posted July 28, 2026): "ensuring our Agentic Inference Cloud is the first choice for the next generation of AI-native startups"; define "who it's for, what it replaces, and why it wins"; "Ensure every launch includes rigorous proof points"; own "pitch decks, playbooks, competitor comparisons, and talk tracks".Source
    • Press releasesNewsroom: "DigitalOcean Launches Managed Agents" (September 22, 2026), "DigitalOcean Unveils AI-Native Cloud Built for the Inference Era" and the Inference Engine with Inference Router (April 28), the Katanemo Labs acquisition (April 2), Hippocratic AI at 10 million patient calls on NVIDIA Blackwell Ultra (May 27), Character.ai on AMD Instinct GPUs (January 13) and a partner program for startups and builders (October 2025).Source
  • 05

    The homepage says "80+ models" in one block, "Over 75 models" and "75+ Models" in others. Small mismatches like this are what technical buyers and AI assistants notice, and the PMM role asks for "rigorous proof points".

    Medium impactLow effort First result in 2 weeks Staff Technical Product Marke…

    First action

    Fix the model count on the homepage.

    How to measure it

    Number mismatches

    Now
    –
    Target
    0
    By
    30 days

    Steps

    1. 1

      Fix homepage

      One model count.

      Web team 1 hour

    2. 2

      Inventory numbers

      Models, tools, customers.

      Staff Technical Product Marketing Manager 2 days

    3. 3

      CMS field

      Shared values.

      Web team 1 week

    4. 4

      Replace

      Top 50 pages.

      Web team 1 week

    5. 5

      Monthly check

      Crawl for numbers.

      SEO team monthly

    6. 6

      Own it

      One owner.

      Staff Technical Product Marketing Manager ongoing

    First result
    2 weeks
    Cost
    $0
    Owner
    Staff Technical Product Marketing Manager

    Smallest test

    Fix the homepage today.

    Why it works

    Keep product numbers (models, tools, regions, customers) in one CMS field used everywhere, and add a monthly check across the site.

    Consistent numbers protect credibility in a market the PMM brief calls "prone to empty hype".

    Risks and how to handle them

    • Numbers change fast

      Update the field, not pages.

    Evidence

    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • HiringSenior Manager, Product Marketing (posted July 28, 2026): "ensuring our Agentic Inference Cloud is the first choice for the next generation of AI-native startups"; define "who it's for, what it replaces, and why it wins"; "Ensure every launch includes rigorous proof points"; own "pitch decks, playbooks, competitor comparisons, and talk tracks".Source
    • HiringStaff Technical Product Marketing Manager (San Francisco and Seattle, posted July 21 and September 3, 2026): positioning "grounded in provable value, not benchmark theater or per-token cost wars", with "a real-time view of frontier labs, hyperscalers, inference providers, and neoclouds"; "Create technical demos, sample apps, and code (Python, JavaScript)". Two Senior Technical PMM roles are also open.Source
  • 06

    The solutions sitemap has 100 pages: about 25 for AI and GPUs, many for web hosting (Minecraft, dropshipping, cPanel, Bluehost alternatives) and two "legacy AI" pages. DigitalOcean is hiring a Cloudways writer for managed hosting content.

    Medium impactMedium effort First result in 1 month SEO team

    First action

    Pull traffic and signups for all 100 pages.

    How to measure it

    Signups from solution pages

    Now
    –
    Target
    +15%
    By
    1 quarter

    Steps

    1. 1

      Pull data

      Traffic and signups.

      SEO team 2 days

    2. 2

      Tag pages

      Three groups.

      SEO team 2 days

    3. 3

      Cloudways links

      Hosting pages.

      Technical Content Writer (Cloudways) 2 weeks

    4. 4

      Refresh AI pages

      Current products.

      Staff Technical Product Marketing Manager 1 month

    5. 5

      Legacy pages

      Retire or noindex.

      SEO team 1 day

    6. 6

      Measure

      Signups by group.

      Growth team monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    SEO team

    Smallest test

    Decide on the two legacy AI pages this week.

    Why it works

    Tag each page AI-native, core cloud or hosting. Point hosting pages to Cloudways where it fits the buyer, refresh the AI pages to the current products (Managed Agents, Inference Engine), and retire or noindex the legacy AI pages if they get no traffic.

    Search engines and buyers then see a clear AI-native site, while hosting demand still converts through Cloudways.

    Risks and how to handle them

    • Traffic drop

      Redirect only pages with no conversions.

    Evidence

    • Your websiteThe solutions sitemap lists 100 pages: about 25 for AI and GPUs (gpu-inference, ai-agent-builder, h100-cloud-gpu), many for web hosting (minecraft-hosting, dropshipping-hosting, cpanel-hosting, bluehost-alternative, web-hosting-india) and two "legacy AI" pages (/solutions/legacy-ai-app, "We have an app for that", and /solutions/legacy-ai-ml-notebooks).Source
    • HiringTechnical Content Writer (Karachi, posted October 5, 2026): content on "managed hosting and AI agents" with "the SEO team", building "a library of content that helps our audience evaluate, adopt, and get the most out of Cloudways' platform"; measured on organic traffic and "Conversion rate from content to trial/signup".Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source

This quarter 10

The core plays for the next three months.

  • 07

    The new AEs prospect through "the venture capital ecosystem", and the startup program already has a partner page and GPU credit packages for selected startups. Funds want perks for their portfolios.

    High impactMedium effort First result in 1 quarter Account Executive Commercial

    First action

    List the ten funds with the most AI startups.

    How to measure it

    Fund-sourced startups

    Now
    –
    Target
    +50%
    By
    2 quarters

    Steps

    1. 1

      List funds

      AI-heavy portfolios.

      Account Executive - Commercial 1 week

    2. 2

      Assign AEs

      One per fund.

      Sales leadership 1 week

    3. 3

      Portfolio pages

      Offer and intake.

      Web team 2 weeks

    4. 4

      Office hours

      Quarterly.

      Product management quarterly

    5. 5

      Track

      Startups and spend per fund.

      Sales Operations monthly

    6. 6

      Review

      Drop inactive funds.

      Account Executive - Commercial quarterly

    First result
    1 quarter
    Cost
    Credits budget
    Owner
    Account Executive Commercial

    Smallest test

    Sign one fund and run an office hour.

    Why it works

    Give each partner fund a named AE, a portfolio landing page with the offer and an intake for GPU credit requests, and a quarterly portfolio office hour with product managers.

    One fund relationship reaches dozens of AI startups at the moment they choose a cloud.

    Risks and how to handle them

    • Credit-only users

      Tie larger credits to usage milestones.

    Evidence

    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source
    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
  • 08

    The field director runs founder and VC events and must turn each into pipeline. A dinner without a next step is brand spend.

    High impactMedium effort First result in 1 quarter Director

    First action

    Plan one San Francisco dinner.

    How to measure it

    Pilots per dinner

    Now
    –
    Target
    5
    By
    1 quarter

    Steps

    1. 1

      Pick guests

      AI founders with spend.

      Account Executive - Commercial 2 weeks

    2. 2

      Book speaker

      Customer founder.

      Director, Field & Event Marketing 2 weeks

    3. 3

      Pilot offer

      Two weeks with an engineer.

      Solutions Architecture 1 week

    4. 4

      Run

      Monthly.

      Director, Field & Event Marketing monthly

    5. 5

      Follow up

      Within 48 hours.

      Account Executive - Commercial monthly

    6. 6

      Measure

      Pilots and spend.

      Sales Operations monthly

    First result
    1 quarter
    Cost
    Event budget
    Owner
    Director, Field & Event Marketing

    Smallest test

    Run one dinner.

    Why it works

    Invite AI founders with live inference costs, have a customer founder (Andi, Probably AI) speak, and offer each attendee a two-week pilot with an engineer. Track pilots and spend from each dinner.

    A concrete pilot converts goodwill into usage while the conversation is fresh.

    Risks and how to handle them

    • Too few qualified guests

      Co-host with a fund.

    Evidence

    • HiringDirector, Field & Event Marketing (posted July 21, 2026, updated October 15): owns events "from our flagship DigitalOcean Deploy conference to creative startup events that engage founders and VCs", "hands-on hackathons and workshops"; "This isn't a logistics role"; "Partner with Sales, Product Marketing, Product, and Growth ... pipeline tracking".Source
    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source
  • 09

    The technical PMM brief rejects "benchmark theater" and asks the PMM to build demos and code. The homepage leads with Workato's 67% lower cost and RadixArk's 10x throughput.

    High impactMedium effort First result in 1 quarter Staff Technical Product Marke…

    First action

    Pick the RadixArk throughput claim for the first repo.

    How to measure it

    Signups from proof pages

    Now
    –
    Target
    500 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick claims

      Top three.

      Staff Technical Product Marketing Manager 1 week

    2. 2

      Agree with customers

      Permission and detail.

      Staff Technical Product Marketing Manager 2 weeks

    3. 3

      Build repos

      Config and scripts.

      Staff Technical Product Marketing Manager 1 month

    4. 4

      Write pages

      Setup and results.

      Staff Technical Product Marketing Manager 2 weeks

    5. 5

      Promote

      Developer channels.

      Developer Relations 2 weeks

    6. 6

      Measure

      Clones and signups.

      Growth team monthly

    First result
    1 quarter
    Cost
    Compute credits
    Owner
    Staff Technical Product Marketing Manager

    Smallest test

    Publish one repo.

    Why it works

    For each headline claim, publish the setup, a public repository with the configuration and a script anyone can run on a small instance. Show results honestly, including where rivals are close.

    Technical buyers trust what they can rerun, and it separates DigitalOcean from vendors that only show charts.

    Risks and how to handle them

    • Results vary

      State the conditions.

    Evidence

    • HiringStaff Technical Product Marketing Manager (San Francisco and Seattle, posted July 21 and September 3, 2026): positioning "grounded in provable value, not benchmark theater or per-token cost wars", with "a real-time view of frontier labs, hyperscalers, inference providers, and neoclouds"; "Create technical demos, sample apps, and code (Python, JavaScript)". Two Senior Technical PMM roles are also open.Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • Developer ecosystemAbout 8,400 community URLs (tutorials, questions, tools) in the sitemaps; the doctl CLI has 3,455 GitHub stars; the @digitalocean/mcp npm package has about 3,800 weekly downloads.Source
  • 10

    Startups get up to 12 months of credits and a welcome kit page. Credits only matter if the team runs a real workload early, and AI customer ARR (up 150%) is the growth line.

    High impactMedium effort First result in 1 quarter Growth team

    First action

    Measure days to first inference call for last quarter's startups.

    How to measure it

    7-day inference activation

    Now
    –
    Target
    60%
    By
    2 quarters

    Steps

    1. 1

      Baseline

      Days to first call.

      Growth team 1 week

    2. 2

      Sample app

      One-click.

      Developer Relations 2 weeks

    3. 3

      Welcome flow

      Guided steps.

      Growth team 1 month

    4. 4

      Nudges

      Day 3 and 7.

      Growth team 2 weeks

    5. 5

      Engineer sessions

      For stalled teams.

      Solutions Architecture ongoing

    6. 6

      Measure

      Spend after credits.

      Growth team quarterly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Growth team

    Smallest test

    Email last month's startups a sample app.

    Why it works

    Make the welcome flow a guided first call: pick a model on Serverless Inference, call it from a sample app, then add the Inference Router. Nudge teams that have not called the API in seven days, and offer an engineer session.

    Early usage predicts paid spend after credits.

    Risks and how to handle them

    • Credits used for mining or abuse

      Keep current verification.

    Evidence

    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
    • Investor relationsFY2025 results: revenue $901 million (+15%), Q4 ARR $970 million (+18%), AI customer ARR $120 million (+150%); customers spending $100K+ grew 26% and made up 28% of revenue; 2026 revenue guidance $1.075-1.105 billion, about 21% growth.Source
    • Your websitePricing page title "Budget-Friendly Cloud Server Pricing" and description "Need a powerful cloud server without the hefty price tag? ... unbeatable prices", while the page leads with AI: Agent Droplets, Harness Runtime from $0.0535/hr, Action Gateway from $0.10 per 1,000 calls, Inference from $0.05 per million tokens, and GPU Droplets "Starting at $1.91/GPU/hour* ... Based on multi-month contractual commitment. On-demand pricing from $0.76/GPU/hour."Source
  • 11

    The new Cloudways writer covers "managed hosting and AI agents" and is measured on content-to-trial conversion. Agency and store owners are asking how to add AI to WordPress and WooCommerce sites.

    Medium impactMedium effort First result in 1 quarter Technical Content Writer

    First action

    Pick ten keywords with the SEO team.

    How to measure it

    Cluster trials

    Now
    –
    Target
    300 a quarter
    By
    2 quarters

    Steps

    1. 1

      Keywords

      Ten.

      SEO team 1 week

    2. 2

      Write

      Ten guides.

      Technical Content Writer (Cloudways) 2 months

    3. 3

      Build demos

      Working setups.

      Technical Content Writer (Cloudways) 1 month

    4. 4

      Link

      Hosting pages.

      SEO team 1 week

    5. 5

      Promote

      Agency newsletters.

      Cloudways Marketing 1 month

    6. 6

      Measure

      Trials.

      Growth team monthly

    First result
    1 quarter
    Cost
    Writing time
    Owner
    Technical Content Writer (Cloudways)

    Smallest test

    Publish the WooCommerce guide.

    Why it works

    Write a cluster: AI chat for WordPress, product-description agents for WooCommerce, and support agents, each with a working setup on Cloudways and DigitalOcean inference.

    It links the hosting base to the AI products and wins searches rivals in hosting do not answer.

    Risks and how to handle them

    • Thin content

      Every guide includes a tested setup.

    Evidence

    • HiringTechnical Content Writer (Karachi, posted October 5, 2026): content on "managed hosting and AI agents" with "the SEO team", building "a library of content that helps our audience evaluate, adopt, and get the most out of Cloudways' platform"; measured on organic traffic and "Conversion rate from content to trial/signup".Source
    • Your websiteThe solutions sitemap lists 100 pages: about 25 for AI and GPUs (gpu-inference, ai-agent-builder, h100-cloud-gpu), many for web hosting (minecraft-hosting, dropshipping-hosting, cpanel-hosting, bluehost-alternative, web-hosting-india) and two "legacy AI" pages (/solutions/legacy-ai-app, "We have an app for that", and /solutions/legacy-ai-ml-notebooks).Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
  • 12

    DigitalOcean says AI-native startups leave hyperscalers over complex UIs, unpredictable costs, slow setup and GPU availability, with published savings from Specra.AI, ACE Studio and Probably AI.

    High impactMedium effort First result in 1 quarter Senior Manager

    First action

    Build the calculator as a spreadsheet for AEs first.

    How to measure it

    Migration requests

    Now
    –
    Target
    50 a quarter
    By
    2 quarters

    Steps

    1. 1

      Model costs

      Inputs and outputs.

      Staff Technical Product Marketing Manager 2 weeks

    2. 2

      Spreadsheet

      For AEs.

      Account Executive - Commercial 1 week

    3. 3

      Web calculator

      On the page.

      Web team 1 month

    4. 4

      Stories

      Three customers.

      Senior Manager, Product Marketing 2 weeks

    5. 5

      Offer

      Engineer help.

      Solutions Architecture 1 week

    6. 6

      Measure

      Requests and wins.

      Sales Operations monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Senior Manager, Product Marketing

    Smallest test

    Give five AEs the spreadsheet.

    Why it works

    Build a migration page with a calculator (current tokens, GPUs and egress in; DigitalOcean cost out), the three stories and a migration offer with engineer help. Give AEs the same calculator.

    Buyers who already pay for inference need a number, not a pitch.

    Risks and how to handle them

    • Overstated savings

      Show ranges and assumptions.

    Evidence

    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
    • HiringSenior Manager, Product Marketing (posted July 28, 2026): "ensuring our Agentic Inference Cloud is the first choice for the next generation of AI-native startups"; define "who it's for, what it replaces, and why it wins"; "Ensure every launch includes rigorous proof points"; own "pitch decks, playbooks, competitor comparisons, and talk tracks".Source
    • Your websitePricing page title "Budget-Friendly Cloud Server Pricing" and description "Need a powerful cloud server without the hefty price tag? ... unbeatable prices", while the page leads with AI: Agent Droplets, Harness Runtime from $0.0535/hr, Action Gateway from $0.10 per 1,000 calls, Inference from $0.05 per million tokens, and GPU Droplets "Starting at $1.91/GPU/hour* ... Based on multi-month contractual commitment. On-demand pricing from $0.76/GPU/hour."Source
    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source
  • 13

    Managed Agents launched in September, and the new MarCom lead must unify PR, analysts and influencers with attribution to pipeline. Agent platforms are a new category where analyst framing is still forming.

    High impactMedium effort First result in 1 quarter Senior Director

    First action

    List the analysts and builders.

    How to measure it

    Share of voice

    Now
    –
    Target
    top 3
    By
    2 quarters

    Steps

    1. 1

      List analysts

      Agent platforms.

      Senior Director, Marketing Communications 1 week

    2. 2

      Briefings

      Product demos.

      Senior Director, Marketing Communications 1 month

    3. 3

      Builder access

      20 builders.

      Developer Relations 1 month

    4. 4

      Content plan

      Videos and posts.

      Senior Director, Marketing Communications 1 month

    5. 5

      Track

      Mentions and pipeline.

      Senior Director, Marketing Communications monthly

    6. 6

      Repeat

      Each release.

      Senior Director, Marketing Communications quarterly

    First result
    1 quarter
    Cost
    Program budget
    Owner
    Senior Director, Marketing Communications

    Smallest test

    Brief two analysts.

    Why it works

    Brief the analysts who cover agent platforms, give 20 AI builders early access with a content plan, and track share of voice and pipeline from each.

    Early framing by analysts and builders shapes shortlists for a year.

    Risks and how to handle them

    • Paid-influencer rules

      Disclose sponsorships.

    Evidence

    • HiringSenior Director, Marketing Communications (posted July 29, 2026): unify "public relations, corporate communications, and analyst and influencer relations", oversee "all corporate digital and social media channels" and set "attribution metrics across all communication vectors" for "brand sentiment, and pipeline influence".Source
    • Press releasesNewsroom: "DigitalOcean Launches Managed Agents" (September 22, 2026), "DigitalOcean Unveils AI-Native Cloud Built for the Inference Era" and the Inference Engine with Inference Router (April 28), the Katanemo Labs acquisition (April 2), Hippocratic AI at 10 million patient calls on NVIDIA Blackwell Ultra (May 27), Character.ai on AMD Instinct GPUs (January 13) and a partner program for startups and builders (October 2025).Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
  • 14

    The new marketing operations analyst handles vendor records and "deprecating vendors". Marketing tools pile up after a repositioning.

    Medium impactLow effort First result in 1 quarter Marketing Operations Analyst

    First action

    Export the vendor list with renewal dates.

    How to measure it

    Unowned tool spend

    Now
    –
    Target
    0
    By
    2 quarters

    Steps

    1. 1

      Export

      Vendors and renewals.

      Marketing Operations Analyst 1 week

    2. 2

      Owners

      One per tool.

      Marketing Operations Analyst 2 weeks

    3. 3

      Map pipeline

      Tool to program.

      Marketing Operations 1 month

    4. 4

      Flag

      Duplicates.

      Marketing Operations Analyst monthly

    5. 5

      Decide

      Renew or cancel.

      Chief Marketing Officer quarterly

    6. 6

      Report

      Savings.

      Marketing Operations Analyst quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Marketing Operations Analyst

    Smallest test

    Review the next five renewals.

    Why it works

    List every marketing vendor with its owner, cost and the pipeline it supports; flag duplicates and unowned tools 60 days before renewal.

    Money moves from unused tools to programs that create pipeline.

    Risks and how to handle them

    • Breaking tracking

      Check dependencies before cancelling.

    Evidence

    • HiringMarketing Operations Analyst (Bengaluru, posted October 8, 2026): budget administration, purchase orders, cost centers and vendor management, "including offboarding and deprecating vendors across the organization", with reports on "spend, cost center health, and vendor activity".Source
    • HiringSenior Director, Marketing Communications (posted July 29, 2026): unify "public relations, corporate communications, and analyst and influencer relations", oversee "all corporate digital and social media channels" and set "attribution metrics across all communication vectors" for "brand sentiment, and pipeline influence".Source
  • 15

    DigitalOcean has about 8,400 community tutorials and questions, a classic developer acquisition engine. Most were written for Droplets and Kubernetes.

    High impactMedium effort First result in 1 quarter Developer Relations

    First action

    Rank tutorials by traffic.

    How to measure it

    Tutorial signups to AI products

    Now
    –
    Target
    +25%
    By
    2 quarters

    Steps

    1. 1

      Rank

      Top 100.

      Developer Relations 1 week

    2. 2

      Pick AI fits

      Topics.

      Developer Relations 1 week

    3. 3

      Write versions

      Agent and inference.

      Developer Relations 2 months

    4. 4

      Deploy buttons

      One click.

      Growth team 1 month

    5. 5

      Publish

      Updated tutorials.

      Developer Relations ongoing

    6. 6

      Measure

      Signups.

      Growth team monthly

    First result
    1 quarter
    Cost
    Writer time
    Owner
    Developer Relations

    Smallest test

    Update ten tutorials.

    Why it works

    Find the top 100 tutorials by traffic in AI, Python and automation topics, add an agent or inference version with a one-click deploy, and track signups per tutorial.

    Existing search traffic becomes AI product trials.

    Risks and how to handle them

    • Forced fit

      Only where AI helps the task.

    Evidence

    • Developer ecosystemAbout 8,400 community URLs (tutorials, questions, tools) in the sitemaps; the doctl CLI has 3,455 GitHub stars; the @digitalocean/mcp npm package has about 3,800 weekly downloads.Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • Your websiteThe solutions sitemap lists 100 pages: about 25 for AI and GPUs (gpu-inference, ai-agent-builder, h100-cloud-gpu), many for web hosting (minecraft-hosting, dropshipping-hosting, cpanel-hosting, bluehost-alternative, web-hosting-india) and two "legacy AI" pages (/solutions/legacy-ai-app, "We have an app for that", and /solutions/legacy-ai-ml-notebooks).Source
  • 16

    Customers spending $100K+ grew 26% and made up 28% of revenue. Many start self-serve; by the time they reach an AE they may already be talking to a neocloud.

    High impactMedium effort First result in 1 quarter Account Executive Commercial

    First action

    Find accounts whose AI spend doubled last quarter.

    How to measure it

    Flagged-account expansion

    Now
    –
    Target
    +20%
    By
    2 quarters

    Steps

    1. 1

      Define signal

      Spend growth.

      Growth team 2 weeks

    2. 2

      Score weekly

      Data job.

      Growth team 2 weeks

    3. 3

      Route

      To AEs.

      Sales Operations 1 week

    4. 4

      Offer

      Cost review.

      Account Executive - Commercial ongoing

    5. 5

      Track

      Commitments.

      Sales Operations monthly

    6. 6

      Tune

      Threshold.

      Growth team quarterly

    First result
    1 quarter
    Cost
    Sales time
    Owner
    Account Executive Commercial

    Smallest test

    Call 20 flagged accounts.

    Why it works

    Score self-serve accounts weekly on inference and GPU growth, and assign an AE when growth passes a threshold, with a cost review offer.

    Reaching a fast grower early wins commitments and keeps them on the platform.

    Risks and how to handle them

    • Unwanted contact

      Offer help, not pressure.

    Evidence

    • Investor relationsFY2025 results: revenue $901 million (+15%), Q4 ARR $970 million (+18%), AI customer ARR $120 million (+150%); customers spending $100K+ grew 26% and made up 28% of revenue; 2026 revenue guidance $1.075-1.105 billion, about 21% growth.Source
    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source
    • Your websitePricing page title "Budget-Friendly Cloud Server Pricing" and description "Need a powerful cloud server without the hefty price tag? ... unbeatable prices", while the page leads with AI: Agent Droplets, Harness Runtime from $0.0535/hr, Action Gateway from $0.10 per 1,000 calls, Inference from $0.05 per million tokens, and GPU Droplets "Starting at $1.91/GPU/hour* ... Based on multi-month contractual commitment. On-demand pricing from $0.76/GPU/hour."Source

Big bets 3

Larger plays that can change the trajectory.

  • 17

    The @digitalocean/mcp package gets about 3,800 downloads a week, and Managed Agents supports Claude Code, Codex CLI and MCP. Developers increasingly provision infrastructure from inside coding agents.

    High impactHigh effort First result in 3 quarters Growth team

    First action

    Test the full path with one coding agent.

    How to measure it

    Agent-started signups

    Now
    –
    Target
    5,000
    By
    3 quarters

    Steps

    1. 1

      Test path

      One agent.

      Developer Relations 1 month

    2. 2

      Device login

      Account creation.

      Growth team 1 quarter

    3. 3

      Templates

      Deploy recipes.

      Developer Relations 1 month

    4. 4

      Listings

      Agent directories.

      Developer Relations 1 month

    5. 5

      Track

      Signups.

      Growth team monthly

    6. 6

      Promote

      Launch.

      Senior Director, Marketing Communications 1 month

    First result
    3 quarters
    Cost
    Engineering time
    Owner
    Growth team

    Smallest test

    Record one end-to-end deploy.

    Why it works

    Let a developer create an account, deploy an app and call inference from inside a coding agent, with the account created by a device login. Track agent-started signups.

    Being the default cloud inside coding agents is the developer-first motion DigitalOcean was built on.

    Risks and how to handle them

    • Abuse

      Verification and limits.

    Evidence

    • Developer ecosystemAbout 8,400 community URLs (tutorials, questions, tools) in the sitemaps; the doctl CLI has 3,455 GitHub stars; the @digitalocean/mcp npm package has about 3,800 weekly downloads.Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
  • 18

    DigitalOcean sees inference spend across many AI startups. Founders and investors want to know what inference costs per user and how fast it falls.

    High impactHigh effort First result in 4 quarters Senior Manager

    First action

    Pick five measures.

    How to measure it

    Downloads

    Now
    –
    Target
    20,000
    By
    1 year

    Steps

    1. 1

      Measures

      Five.

      Senior Manager, Product Marketing 1 week

    2. 2

      Data

      Aggregated.

      Growth team 1 quarter

    3. 3

      Privacy

      No customer identifiable.

      Legal 1 month

    4. 4

      Write

      Report.

      Senior Manager, Product Marketing 1 month

    5. 5

      Launch

      Funds and press.

      Senior Director, Marketing Communications 1 month

    6. 6

      Repeat

      Quarterly.

      Senior Manager, Product Marketing quarterly

    First result
    4 quarters
    Cost
    Analyst time
    Owner
    Senior Manager, Product Marketing

    Smallest test

    Publish one chart.

    Why it works

    Publish an aggregated quarterly index: cost per million tokens by model class, routing savings, GPU utilization, by startup stage. Launch with partner funds.

    Original data earns press and makes DigitalOcean the reference on inference economics.

    Risks and how to handle them

    • Competitive sensitivity

      Aggregate broadly.

    Evidence

    • Investor relationsFY2025 results: revenue $901 million (+15%), Q4 ARR $970 million (+18%), AI customer ARR $120 million (+150%); customers spending $100K+ grew 26% and made up 28% of revenue; 2026 revenue guidance $1.075-1.105 billion, about 21% growth.Source
    • Press releases"AI-Native Startups Are Leaving Hyperscalers for DigitalOcean's Agentic Inference Cloud" (April 16, 2026): Specra.AI ("up to 15%" lower inference cost), ACE Studio (training cycles cut 50%, latency down 40%) and Probably AI (API set up in "a day and a half", at least 25% saved); reasons given: complex hyperscaler UIs, unpredictable costs, slow setup and limited GPU availability. DigitalOcean has "more than 640,000 customers".Source
    • HiringSenior Manager, Product Marketing (posted July 28, 2026): "ensuring our Agentic Inference Cloud is the first choice for the next generation of AI-native startups"; define "who it's for, what it replaces, and why it wins"; "Ensure every launch includes rigorous proof points"; own "pitch decks, playbooks, competitor comparisons, and talk tracks".Source
  • 19

    DigitalOcean works with fal, Character.ai, NVIDIA and AMD and serves 75+ models. Developers try new models in the first week.

    High impactHigh effort First result in 3 quarters Staff Technical Product Marke…

    First action

    List upcoming open-model releases.

    How to measure it

    Launch-week signups

    Now
    –
    Target
    +30%
    By
    3 quarters

    Steps

    1. 1

      Partners

      Model makers.

      Staff Technical Product Marketing Manager 1 month

    2. 2

      Process

      Day-zero checklist.

      Inference product team 1 month

    3. 3

      Pages

      Launch template.

      Web team 2 weeks

    4. 4

      Samples

      Apps.

      Developer Relations ongoing

    5. 5

      Offers

      Week-one credits.

      Growth team ongoing

    6. 6

      Measure

      Signups.

      Growth team monthly

    First result
    3 quarters
    Cost
    Credits
    Owner
    Staff Technical Product Marketing Manager

    Smallest test

    Launch one model on day zero.

    Why it works

    Agree day-zero availability with open-model makers, publish a launch page and sample app the same day, and run a credit offer for the first week.

    Being where new models land first brings developers to the platform each week.

    Risks and how to handle them

    • Capacity

      Plan GPUs ahead.

    Evidence

    • Press releasesNewsroom: "DigitalOcean Launches Managed Agents" (September 22, 2026), "DigitalOcean Unveils AI-Native Cloud Built for the Inference Era" and the Inference Engine with Inference Router (April 28), the Katanemo Labs acquisition (April 2), Hippocratic AI at 10 million patient calls on NVIDIA Blackwell Ultra (May 27), Character.ai on AMD Instinct GPUs (January 13) and a partner program for startups and builders (October 2025).Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • HiringStaff Technical Product Marketing Manager (San Francisco and Seattle, posted July 21 and September 3, 2026): positioning "grounded in provable value, not benchmark theater or per-token cost wars", with "a real-time view of frontier labs, hyperscalers, inference providers, and neoclouds"; "Create technical demos, sample apps, and code (Python, JavaScript)". Two Senior Technical PMM roles are also open.Source

Wildcards 3

Unexpected experiments, each with a cheap way to test it.

  • 20

    The field director runs hackathons and workshops. Most hackathon projects die when the weekend ends.

    Medium impactMedium effort First result in 1 quarter Director

    First action

    Pick the next hackathon.

    How to measure it

    90-day live projects

    Now
    –
    Target
    25%
    By
    2 quarters

    Steps

    1. 1

      Pick event

      Next one.

      Director, Field & Event Marketing 1 week

    2. 2

      Prize design

      Credits.

      Growth team 1 week

    3. 3

      Sessions

      Engineers.

      Solutions Architecture 1 month

    4. 4

      Follow up

      Monthly.

      Developer Relations monthly

    5. 5

      Track

      90-day status.

      Growth team quarterly

    6. 6

      Showcase

      Stories.

      Senior Director, Marketing Communications quarterly

    First result
    1 quarter
    Cost
    Credits
    Owner
    Director, Field & Event Marketing

    Smallest test

    Try it at one hackathon.

    Why it works

    Give finalists production credits and an engineer session to launch their project, and track how many keep running after 90 days.

    It turns events into live customers instead of demos.

    Risks and how to handle them

    • Low follow-through

      Milestone-based credits.

    Evidence

    • HiringDirector, Field & Event Marketing (posted July 21, 2026, updated October 15): owns events "from our flagship DigitalOcean Deploy conference to creative startup events that engage founders and VCs", "hands-on hackathons and workshops"; "This isn't a logistics role"; "Partner with Sales, Product Marketing, Product, and Growth ... pipeline tracking".Source
    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
  • 21

    The startup program has a founder community, and founders trust peers more than ads.

    Medium impactLow effort First result in 1 quarter Growth team

    First action

    Set the reward.

    How to measure it

    Referred startups

    Now
    –
    Target
    300
    By
    2 quarters

    Steps

    1. 1

      Reward

      Credits.

      Growth team 1 week

    2. 2

      Links

      In dashboard.

      Growth team 2 weeks

    3. 3

      Announce

      Community.

      Developer Relations 1 week

    4. 4

      Track

      Paid conversions.

      Growth team monthly

    5. 5

      Fraud checks

      Rules.

      Growth team ongoing

    6. 6

      Tune

      Reward.

      Growth team quarterly

    First result
    1 quarter
    Cost
    Credits
    Owner
    Growth team

    Smallest test

    Email 500 members.

    Why it works

    Give each program member a referral link: both sides get extra credits when the referred startup makes its first paid invoice.

    Peer referrals bring better-fit startups at lower cost.

    Risks and how to handle them

    • Fraud

      Pay on first invoice.

    Evidence

    • Your website/startups program page: "Grow with the Startup-Friendly AI-Native Cloud"; "12 months to scale" with credits ("amount varies"), "Selected startups will be invited to apply for GPU credit packages", 15 months of free Standard support, one-on-ones with product managers, a perks list (Stripe Atlas and others), a quote from Andi (YC W22) on the Inference Router, and a startup partner page at /startups/partners.Source
  • 22

    Hippocratic AI runs healthcare agents on DigitalOcean with 10 million patient calls, and DigitalOcean lists HIPAA among its certifications. Regulated AI buyers look for proof in their industry.

    Medium impactMedium effort First result in 2 quarters Senior Manager

    First action

    Agree the page with Hippocratic AI.

    How to measure it

    Health-tech pipeline

    Now
    –
    Target
    $2M
    By
    2 quarters

    Steps

    1. 1

      Agree story

      Customer approval.

      Senior Manager, Product Marketing 2 weeks

    2. 2

      Compliance

      Review.

      Legal 2 weeks

    3. 3

      Architecture

      Reference.

      Staff Technical Product Marketing Manager 1 month

    4. 4

      Page

      Build.

      Web team 2 weeks

    5. 5

      Target

      Health-tech funds.

      Account Executive - Commercial 1 quarter

    6. 6

      Measure

      Pipeline.

      Sales Operations monthly

    First result
    2 quarters
    Cost
    Staff time only
    Owner
    Senior Manager, Product Marketing

    Smallest test

    Publish the reference architecture.

    Why it works

    Build a healthcare AI page with the Hippocratic story, compliance details and a reference architecture, and target health-tech startups through funds.

    One strong vertical story opens a segment with high inference spend.

    Risks and how to handle them

    • Compliance claims

      Legal review of every line.

    Evidence

    • Press releasesNewsroom: "DigitalOcean Launches Managed Agents" (September 22, 2026), "DigitalOcean Unveils AI-Native Cloud Built for the Inference Era" and the Inference Engine with Inference Router (April 28), the Katanemo Labs acquisition (April 2), Hippocratic AI at 10 million patient calls on NVIDIA Blackwell Ultra (May 27), Character.ai on AMD Instinct GPUs (January 13) and a partner program for startups and builders (October 2025).Source
    • Your websiteHomepage (checked October 22, 2026): title "AI-Native Cloud | DigitalOcean", "One integrated platform, silicon to agent"; Agent Droplets ("One price. One bill."), Managed Agents in public preview with "16,000+ tools"; proof from Workato (1T+ tasks at 67% lower cost), RadixArk (10x serving throughput) and Hippocratic AI (40% lower P99 latency). The page says "80+ models" in one block, "Over 75 models" and "75+ Models" in others.Source
    • HiringAccount Executive - Commercial (San Francisco, posted October 6, 2026): "a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions"; "Prospect ... within the venture capital ecosystem and high-growth startup communities"; a territory of "companies with $1M+ annual cloud spends". A Named Account AE and a Senior AE were posted the same week.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

ProgrammableTalk

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 23, 2026, and cites them throughout. DigitalOcean did not commission, review or endorse it, and Programmable is not affiliated with DigitalOcean. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how DigitalOcean runs its business.

Something wrong, or do you represent DigitalOcean? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 306 ideas

    Startup page rewrite, share images, pricing metadata, a distinct claim, one source for numbers and sorting the solution pages.

  2. Days 31 to 6012 ideas

    Fund desk, founder pilots, reproducible proof, 7-day inference activation, Cloudways AI content, migration calculator, analysts, vendor review, tutorials and spend alerts; hackathon prizes and referrals.

  3. Days 61 to 904 ideas

    Agent-first signup, the inference cost index, day-zero model launches and the healthcare page.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value simple, predictable pricing. The most cited problem: unpredictable hyperscaler bills.

  • Fast setup without hyperscaler complexity
  • GPU availability
  • In their words: “simple”

Market

Competitive landscape

5 competitors compared: Together AI, CoreWeave, Modal, Render and 1 more.

  • Gap to exploit: Agents, inference and core cloud on one bill for startups
  • Together AI: Narrower general cloud
  • CoreWeave: Enterprise-scale contracts

Hiring signals

DigitalOcean's marketing and sales hiring is built around AI-native startups: AEs for venture-backed startups with $1M+ cloud spend (ideas 1, 7, 12, 16), product marketers to make the Agentic Inference Cloud their…

  • Account Executive - Commercial: Venture-backed AI startups with $1M+ spend. Ideas 1, 7, 16.
  • Senior Manager, Product Marketing: First choice for AI-native startups. Ideas 1, 4, 12.
  • Staff Technical Product Marketing Manager: Provable value, not benchmark theater. Ideas 3, 5, 9.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
  • ProgrammableInfoAn agent that finds, researches and asks first (opens programmable.info in a new tab)
  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
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