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  • This quarter · 9
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Generated Oct 21, 2026
  1. Programmable
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growth playbook · Oct 21, 2026

modal.com (opens in a new tab)

Modal growth playbook

Diagnosis

Modal just crossed $1B in annualized run rate and raised a $750M Series D, and its hiring shows it building the go-to-market a company that size needs: its first account managers ("no playbook, no territory map"), enterprise AEs and a sales manager, solutions architects for migrations off the hyperscalers, a first field marketer, a brand team that is still forming, growth and docs engineers, and a GTM data platform with a people graph.

Growth so far has come from developers and word of mouth. This playbook keeps that engine (day-zero model pages, docs that agents succeed on, a Run on Modal button) and adds what the new team needs: usage signals for account managers, a migration assessment, customer stories by workload, an enterprise buying path, VC portfolio programs, and a proper front door for Sandboxes, already a $300M run-rate product.

It also flags small public leftovers: an overdue engineering TODO in robots.txt, a summer party page in the sitemap, and a homepage that has grown slower on mobile.

Growth Score

8/10

Biggest Opportunity

Turn usage data into account management: with consumption pricing and fast-growing customers, the first account managers can grow revenue fastest by acting on spend, limits and new workloads the week they appear.

Biggest Risk

Crowded, well-funded rivals in every product line (Baseten, Together AI, Fireworks and RunPod in inference; E2B and Daytona in sandboxes; the hyperscalers everywhere) can match features; if Modal's story stays broad while each rival owns one thing, buyers compare on price.

01

Start here

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

  1. 1

    A weekly usage-signal list for the first account managers

    Define the four signals with RevOps and pull last week's list by hand for one account manager.

    High impact First result in 1 month
  2. 2

    Clear the public leftovers: the overdue robots.txt TODO, the Series C party page and missing canonicals

    Open robots.txt and decide whether the stale-URL group can go now.

    Medium impact First result in 1 week
  3. 3

    Win back mobile speed on the homepage: 3.07 s and getting slower

    Run a mobile Lighthouse trace on the homepage and name the largest element.

    Medium impact First result in 2 months

02

Your idea portfolio

21 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 · 11Fill-ins · 2Reconsider · 7
Effort →

Showing 21 of 21 ideas

This week 6

Quick wins with a clear first action.

  • 01

    Modal's first account managers start with "no playbook, no territory map", measured on retention and expansion of consumption revenue. In a usage-priced business, the signals that matter are in the billing data long before a customer says anything: spend climbing toward a concurrency limit, a new workload type appearing, a sudden drop.

    High impactLow effort First result in 1 month Account Manager

    First action

    Define the four signals with RevOps and pull last week's list by hand for one account manager.

    How to measure it

    Accounts contacted within a week of a signal

    Now
    –
    Target
    90%
    By
    1 quarter

    Steps

    1. 1

      Define signals

      Spend change, near limits, new product, new GPU type; agree thresholds.

      Revenue Operations 2 days

    2. 2

      Build the query

      A weekly job over usage data, joined to account owners.

      GTM Engineer, Data Platform 1 week

    3. 3

      Write reasons

      One suggested message per signal ("you started using Sandboxes; here is how others scale them").

      Account Manager 2 days

    4. 4

      Deliver weekly

      Into Salesforce or Slack each Monday.

      GTM Engineer, Data Platform 1 day

    5. 5

      Log outcomes

      Account managers note what each conversation led to.

      Account Manager Ongoing

    6. 6

      Tune

      Drop signals that never lead anywhere; add new ones monthly.

      Revenue Operations Monthly

    First result
    1 month
    Cost
    $0
    Owner
    Account Manager

    Smallest test

    Hand-build one week's list for the first account manager.

    Why it works

    Each Monday, give every account manager a list built from usage data: accounts whose spend grew or fell more than 30% week on week, accounts near their container or GPU concurrency limits, accounts that started a new product (Sandboxes, training, inference) for the first time, and accounts whose top workload moved to a different GPU type. Each line comes with a suggested reason to reach out.

    Expansion in usage-based infrastructure follows workloads; catching a new workload or a limit early is the difference between growing with the customer and the customer splitting work to another cloud. The GTM engineering team already builds data systems and account-research to do this.

    Ready to use

    ChecklistSignals and suggested outreach

    1. Spend up 30%+ week on week: offer an architecture review and check concurrency limits.
    2. Within 20% of container or GPU concurrency limit: offer a limit increase before it bites.
    3. First use of a new product (Sandboxes, training, inference): share the matching guide and a customer example.
    4. Spend down 30%+: ask what changed; offer help with performance or a migration blocker.
    5. Top workload moved to a new GPU type: share the pricing and performance notes for that GPU.

    Risks and how to handle them

    • Too many alerts

      Start with the top 50 accounts and two signals, then widen.

    • Customers dislike being watched

      Lead with help (limits, cost, architecture), never with "we saw your usage drop".

    Evidence

    • HiringAccount Manager (posted September 16, 2026): "We're hiring the first Account Managers at Modal... This function does not exist yet. There is no playbook, no territory map, no established motion." A revenue target "measured on retention and expansion"; customers are "engineers running GPU workloads, inference, and batch jobs in production"; experience at companies "consumption in nature" wanted.Source
    • HiringGTM Engineer, Data Platform (posted October 13, 2026): build "an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM"; the team already builds "agents for account research". A Revenue Operations hire owns lead routing, attribution and territories.Source
    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • Your websitePricing is per second (for example Nvidia B300 at $0.001972/s and H100 at $0.001097/s); Starter is $0 plus compute with $30 a month of free credits; Team is $250 a month plus compute with $100 of credits; Enterprise on request.Source
  • 02

    robots.txt carries a public engineering comment saying to delete a group on 2026-09-15; it is still there a month later. The sitemap still lists a Series C party RSVP page from summer 2026. The partners, startups and academics pages have no canonical tag. Each is small, but they are exactly what a curious engineer or an AI crawler reads.

    Medium impactLow effort First result in 1 week Growth Engineer

    First action

    Open robots.txt and decide whether the stale-URL group can go now.

    How to measure it

    Stale items in robots.txt and the sitemap

    Now
    –
    Target
    0
    By
    1 week

    Steps

    1. 1

      Check the TODO

      Confirm the stale dashboard URLs are out of the indexes; remove the group.

      Growth Engineer 1 hour

    2. 2

      Strip comments

      Keep internal notes out of public robots.txt.

      Growth Engineer 15 minutes

    3. 3

      Retire the party page

      Remove from the sitemap; redirect to the Series D post.

      Growth Engineer 30 minutes

    4. 4

      Add canonicals

      Partners, startups, academics.

      Growth Engineer 30 minutes

    5. 5

      Fix the count

      One customer figure, one way of saying it.

      Head of Marketing 30 minutes

    6. 6

      Add a check

      A test that fails the build on expired event pages in the sitemap.

      Growth Engineer 1 day

    First result
    1 week
    Cost
    $0
    Owner
    Growth Engineer

    Smallest test

    Remove /c-function from the sitemap today.

    Why it works

    Remove or complete the robots.txt task and keep internal comments out of public files; drop /c-function from the sitemap (or redirect it to the Series D post); add canonical tags to the partners, startups and academics pages; fix "over 10,000+ teams" on the customers page and settle that figure against "tens of thousands of developers" on the partners page.

    The Growth Engineer owns the site "as high-quality engineering systems"; a newly formed brand team is defining how Modal looks. These are one-hour fixes.

    Risks and how to handle them

    • Removing the group too early

      Check Search Console for the old URLs first.

    Evidence

    • Your websiteChecked October 18, 2026: robots.txt still carries a public engineering comment, "TODO: delete this group on 2026-09-15, once the stale dashboard URLs have dropped out of Google and Bing". The sitemap lists /c-function, a "Modal — Series C" page with RSVP links for summer 2026 parties in San Francisco, New York and Stockholm. The partners, startups and academics pages have no canonical tag.Source
    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringGrowth and docs roles: a Growth Engineer (posted May 18, 2026) owns the marketing site, docs, landing pages and microsites like the GPU Glossary and LLM Engine Advisor, including "agent-targeted, self-improving documentation"; a Documentation Engineer (September 21, 2026) because "docs [are] becoming even more important as agents increasingly deploy and operate Modal Apps".Source
  • 03

    Chrome's field data puts Modal's mobile load (LCP) at 3.07 s at the 75th percentile, 14% slower than a year ago, above Google's 2.5 s "good" line. For a company whose pitch is sub-second container starts, a slow homepage is an odd first impression, and speed feeds search ranking.

    Medium impactMedium effort First result in 2 months Growth Engineer

    First action

    Run a mobile Lighthouse trace on the homepage and name the largest element.

    How to measure it

    Mobile LCP

    Now
    –
    Target
    Under 2.5 s
    By
    2 months

    Steps

    1. 1

      Trace

      Lighthouse and field data for the top pages.

      Growth Engineer 2 hours

    2. 2

      Fix the hero

      Smaller, preloaded, no layout shift.

      Growth Engineer 2 days

    3. 3

      Defer the rest

      Lazy-load carousels and animations below the fold.

      Growth Engineer 2 days

    4. 4

      Set a budget

      Fail CI over an LCP and weight budget.

      Growth Engineer 1 day

    5. 5

      Brief brand

      Share the budget with the brand team and agencies.

      Brand Designer 1 hour

    6. 6

      Watch field data

      Monthly CrUX check.

      Growth Engineer Monthly

    First result
    2 months
    Cost
    $0
    Owner
    Growth Engineer

    Smallest test

    Preload the hero image.

    Why it works

    Find the largest element on mobile (likely the hero or logo carousel), serve it smaller and earlier, defer the animated sections, and set a performance budget in CI so new campaigns cannot regress it.

    The Growth Engineer is told to ship pages "without sacrificing performance"; a budget makes that automatic as the brand team adds richer work.

    Risks and how to handle them

    • Field data lags

      Track lab numbers weekly and field data monthly.

    Evidence

    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
    • HiringGrowth and docs roles: a Growth Engineer (posted May 18, 2026) owns the marketing site, docs, landing pages and microsites like the GPU Glossary and LLM Engine Advisor, including "agent-targeted, self-improving documentation"; a Documentation Engineer (September 21, 2026) because "docs [are] becoming even more important as agents increasingly deploy and operate Modal Apps".Source
    • HiringBrand (posted September 2, 2026): Modal's "newly formed Brand team"; "the brand that carries that story is still taking shape"; campaigns "from paid social to large-format outdoor", and editorial projects like the GPU Glossary "and forthcoming publications".Source
  • 04

    Modal has 54 model library pages and an AI Model Partner program for "day-zero deployment". When a big open model drops, developers search "deploy <model>" the same day. The first good answer wins the traffic and the word of mouth DevRel calls one of Modal's most important channels.

    High impactMedium effort First result in 1 month Developer Relations Engineer

    First action

    Write the 24-hour checklist and run it on the next notable release.

    How to measure it

    Day-one pages for major open models

    Now
    –
    Target
    90%
    By
    1 quarter

    Steps

    1. 1

      Watch releases

      A feed of major open-model releases.

      Developer Relations Engineer Ongoing

    2. 2

      Template

      Library page and deploy example template.

      Documentation Engineer 2 days

    3. 3

      Benchmark

      Latency and cost on two GPU types.

      Forward Deployed Engineer Same day

    4. 4

      Publish

      Page, example and post within 24 hours.

      Developer Relations Engineer Same day

    5. 5

      Distribute

      X, Reddit, Hacker News, Slack.

      Developer Relations Engineer Same day

    6. 6

      Review

      Traffic and sign-ups per model page.

      Growth Engineer Monthly

    First result
    1 month
    Cost
    $0 plus GPU time
    Owner
    Developer Relations Engineer

    Smallest test

    Run the checklist on the next release.

    Why it works

    Set a standing process: when a major open model is released, publish a library page and a one-command deploy example within 24 hours, with measured latency and cost on Modal hardware, and post it where developers look (X, Reddit, Hacker News, the Slack community). Partner with the model makers where possible.

    Speed is the content strategy here; Modal's own infrastructure makes a same-day benchmark possible where others need days.

    Risks and how to handle them

    • Benchmarks get disputed

      Publish the code and settings so anyone can reproduce them.

    Evidence

    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
  • 05

    Modal's startup credits require funding from its VC partner network or more than $1M from any fund. Many of the AI teams that matter next are pre-seed, in accelerators, or fresh out of labs, and the startups page does not list which funds count.

    Medium impactLow effort First result in 1 month Field Marketing Manager

    First action

    Publish the list of partner funds on the startups page.

    How to measure it

    Startup applications per month

    Now
    –
    Target
    +50%
    By
    1 quarter

    Steps

    1. 1

      List funds

      Publish the partner network.

      Field Marketing Manager 1 day

    2. 2

      Design the track

      Accelerator and hackathon credits, smaller grants.

      Field Marketing Manager 1 week

    3. 3

      Recruit programs

      Five accelerators to start.

      Field Marketing Manager 1 month

    4. 4

      Route the rest

      Free tier plus a "when you raise" email.

      Growth Engineer 1 week

    5. 5

      Track

      Applications to paid by program.

      Revenue Operations Monthly

    6. 6

      Report

      Back to partner funds quarterly.

      Field Marketing Manager Quarterly

    First result
    1 month
    Cost
    Credit cost only
    Owner
    Field Marketing Manager

    Smallest test

    Add the partner fund list today.

    Why it works

    List the partner funds on the startups page; add an accelerator and hackathon track (smaller credits, verified through the program); and route applicants who do not qualify to the free $30 a month tier with a follow-up when they raise.

    The field marketer is asked to build "co-marketing programs with VCs, accelerators, and ecosystem partners"; a clear path for early founders is where word of mouth starts.

    Risks and how to handle them

    • Credit abuse

      Verify through the program and cap per company.

    Evidence

    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringField Marketing Manager (posted October 5, 2026, San Francisco): account-based programs for named accounts; "Decide which industry conferences and sponsorships are worth investing in"; executive dinners, roundtables and technical workshops with AEs; "Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies".Source
    • Your websitePricing is per second (for example Nvidia B300 at $0.001972/s and H100 at $0.001097/s); Starter is $0 plus compute with $30 a month of free credits; Team is $250 a month plus compute with $100 of credits; Enterprise on request.Source
  • 06

    Sandboxes alone is "a $300M run rate product", with close to 3 billion started, and it competes with companies that do only that (E2B, Daytona). On the site it is one item in a product menu, with no comparison or migration guide.

    High impactMedium effort First result in 2 months Head of Marketing

    First action

    Draft the hub outline and the E2B comparison.

    How to measure it

    Sandbox-first sign-ups

    Now
    –
    Target
    +40%
    By
    2 quarters

    Steps

    1. 1

      Outline the hub

      Use cases, scale, pricing, code.

      Developer Relations Engineer 2 days

    2. 2

      Write comparisons

      Against two sandbox specialists, sourced and dated.

      Developer Relations Engineer 1 week

    3. 3

      Migration guide

      Code-level move from another sandbox API.

      Documentation Engineer 1 week

    4. 4

      Publish

      Hub and comparison pages.

      Growth Engineer 1 week

    5. 5

      Point ads and docs at it

      Sandbox keywords and docs links.

      Growth Engineer 1 day

    6. 6

      Measure

      Sign-ups and first sandbox runs.

      Revenue Operations Monthly

    First result
    2 months
    Cost
    $0
    Owner
    Head of Marketing

    Smallest test

    Publish the comparison against one rival.

    Why it works

    Build a Sandboxes hub: what it is for (coding agents, RL rollouts, untrusted code), the scale numbers, pricing examples, comparison pages against the sandbox specialists, and a migration guide with code. Make it the landing page for sandbox search and ads.

    Buyers of agent sandboxes search for sandboxes, not for "serverless AI infrastructure". A focused page captures that demand and shows a scale the specialists cannot.

    Risks and how to handle them

    • Comparisons date quickly

      Date every claim and review quarterly.

    Evidence

    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • Competitor researchFrom rivals' homepages: Baseten ("the fastest, most reliable inference platform"), Together AI ("The AI Native Cloud"), RunPod ("The AI Developer Cloud"), Fireworks ("training and inference platform"), and for sandboxes E2B ("The Enterprise AI Agent Cloud... 100K+ teams, 2B+ sandboxes started") and Daytona ("Secure Infrastructure for Running AI-Generated Code", "90ms environment creation"). The hyperscalers (AWS, Google Cloud, Azure) are the incumbents Modal's solutions architects migrate customers from.Source
    • Your websitePricing is per second (for example Nvidia B300 at $0.001972/s and H100 at $0.001097/s); Starter is $0 plus compute with $30 a month of free credits; Team is $250 a month plus compute with $100 of credits; Enterprise on request.Source

This quarter 9

The core plays for the next three months.

  • 07

    The Field Marketing Manager is told to build programs with VCs and accelerators "to reach their portfolio companies". Funds want their AI startups to ship faster; Modal's forward deployed engineers know how.

    High impactMedium effort First result in 2 months Field Marketing Manager

    First action

    Offer the first session to one partner fund.

    How to measure it

    Opportunities from fund sessions

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick funds

      Partner funds with the most AI companies.

      Field Marketing Manager 1 week

    2. 2

      Design the session

      Talk plus 1:1 slots.

      Developer Relations Engineer 1 week

    3. 3

      Run monthly

      One fund at a time.

      Field Marketing Manager Monthly

    4. 4

      Give credits

      For attendees.

      Field Marketing Manager Ongoing

    5. 5

      Follow up

      AE contacts the most promising teams.

      Enterprise Account Executive 1 week after

    6. 6

      Report

      Back to each fund.

      Field Marketing Manager Quarterly

    First result
    2 months
    Cost
    $2K-$5K per session
    Owner
    Field Marketing Manager

    Smallest test

    Run one session for one fund.

    Why it works

    Run monthly "GPU office hours" for one fund's portfolio at a time: a 30-minute talk on serving or fine-tuning, then 1:1 slots with Modal engineers, credits for attendees, and a follow-up from the AE for the most promising teams.

    It reaches teams at the moment they choose infrastructure, with the fund's endorsement, and gives AEs warm leads.

    Risks and how to handle them

    • Engineer time

      Rotate FDEs and cap 1:1s.

    Evidence

    • HiringField Marketing Manager (posted October 5, 2026, San Francisco): account-based programs for named accounts; "Decide which industry conferences and sponsorships are worth investing in"; executive dinners, roundtables and technical workshops with AEs; "Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies".Source
    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringThe shared "About us" text on Modal's job posts: "We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation." Named customers: Ramp, Cognition, DoorDash and Suno; the ML forward deployed team works with Suno, Lovable, Cognition and Meta. 43 open roles across New York, San Francisco, Stockholm and London.Source
  • 08

    Solutions architects are hired to "architect end-to-end migration strategies from AWS, GCP, or Azure", for 7 to 8-figure decisions. Most large prospects already run AI workloads on a hyperscaler; the first step is showing what moving would look like.

    High impactMedium effort First result in 1 quarter Solutions Architect

    First action

    Write the assessment template from a recent migration.

    How to measure it

    Assessments that become pilots

    Now
    –
    Target
    50%
    By
    2 quarters

    Steps

    1. 1

      Template

      Inputs, outputs and the comparison model.

      Solutions Architect 1 week

    2. 2

      Sample report

      Anonymised from a past migration.

      Solutions Architect 3 days

    3. 3

      Offer it

      In AE outreach and field events.

      Enterprise Account Executive Ongoing

    4. 4

      Deliver

      Two weeks per assessment.

      Solutions Architect Ongoing

    5. 5

      Convert

      Pilot proposal with credits.

      Enterprise Account Executive 1 week after

    6. 6

      Learn

      Track what blocks migration; fix in product.

      Solutions Architect Quarterly

    First result
    1 quarter
    Cost
    $0 plus SA time
    Owner
    Solutions Architect

    Smallest test

    Run one assessment for an active prospect.

    Why it works

    Offer a structured two-week assessment: the prospect shares workload shapes (GPU types, utilization, startup times, idle time); the SA returns an architecture, a migration plan and a cost and latency comparison. It becomes the field marketer's and AE's lead offer for enterprise accounts.

    Idle reserved GPUs are a common pain on the hyperscalers; per-second pricing with no idle cost is Modal's clearest argument, and an assessment makes it specific.

    Risks and how to handle them

    • Comparisons look biased

      Use the prospect's own numbers and show assumptions.

    Evidence

    • HiringSolutions Architect (posted February 20, 2026): influence "7-8 figure infrastructure decisions"; "Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal's serverless infrastructure"; "This role is not demo support."Source
    • Your websitePricing is per second (for example Nvidia B300 at $0.001972/s and H100 at $0.001097/s); Starter is $0 plus compute with $30 a month of free credits; Team is $250 a month plus compute with $100 of credits; Enterprise on request.Source
    • HiringAccount Executive, Enterprise (New York): "accelerate Modal's growth with the world's most innovative AI companies"; run proofs of concept and pilots with solutions and engineering; expand existing accounts; "contribute to the foundation of Modal's sales process, culture, and playbooks". A Regional Director post (July 30, 2026; $400K) describes a Manager of Enterprise Sales who builds playbooks, qualification frameworks and "top-of-funnel programs".Source
    • Competitor researchFrom rivals' homepages: Baseten ("the fastest, most reliable inference platform"), Together AI ("The AI Native Cloud"), RunPod ("The AI Developer Cloud"), Fireworks ("training and inference platform"), and for sandboxes E2B ("The Enterprise AI Agent Cloud... 100K+ teams, 2B+ sandboxes started") and Daytona ("Secure Infrastructure for Running AI-Generated Code", "90ms environment creation"). The hyperscalers (AWS, Google Cloud, Azure) are the incumbents Modal's solutions architects migrate customers from.Source
  • 09

    The data platform engineer is asked to build a people graph of "companies, labs, teams, and individuals" including "researchers... and early-stage startups... beyond our existing users". The most valuable signal in AI is a known researcher or engineer leaving a lab or customer to start something new.

    High impactHigh effort First result in 1 quarter GTM Engineer

    First action

    List 20 past Modal power users and check where they work now.

    How to measure it

    Customers from people moves

    Now
    –
    Target
    10 a quarter
    By
    2 quarters

    Steps

    1. 1

      Seed the list

      Power users, academics with credits, notable researchers.

      GTM Engineer, Data Platform 2 weeks

    2. 2

      Detect moves

      Job changes and new company formation.

      GTM Engineer, Data Platform 1 month

    3. 3

      Route

      To the AE or DevRel lead with context.

      Revenue Operations 1 week

    4. 4

      Offer

      Credits and a welcome call.

      Enterprise Account Executive Ongoing

    5. 5

      Respect privacy

      Use public data; let users opt out.

      GTM Engineer, Data Platform Ongoing

    6. 6

      Measure

      Conversion of moved users' companies.

      Revenue Operations Quarterly

    First result
    1 quarter
    Cost
    $0-$10K in data
    Owner
    GTM Engineer, Data Platform

    Smallest test

    Check five former power users by hand this week.

    Why it works

    Use the graph to flag when an existing Modal user, an academic credit recipient or a well-known researcher changes company or founds one. Send the AE or DevRel lead a note with their history on Modal and an offer of credits for the new company.

    They already know the product. A new AI company led by a past Modal user is the warmest lead there is.

    Risks and how to handle them

    • Feels intrusive

      Use public information only and lead with a helpful offer.

    Evidence

    • HiringGTM Engineer, Data Platform (posted October 13, 2026): build "an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM"; the team already builds "agents for account research". A Revenue Operations hire owns lead routing, attribution and territories.Source
    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
  • 10

    The Series D post names DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery, but the customers page has a handful of quotes and metrics. Enterprise AEs and account managers need a story for each workload a prospect runs.

    High impactMedium effort First result in 2 quarters Head of Marketing

    First action

    Ask two of the Series D customers for a 30-minute architecture interview.

    How to measure it

    Workloads covered by a story with numbers

    Now
    –
    Target
    7 of 7
    By
    2 quarters

    Steps

    1. 1

      Map logos to workloads

      Which customer fits which story.

      Account Manager 1 day

    2. 2

      Interview

      30 minutes with each customer engineer.

      Developer Relations Engineer 1 month

    3. 3

      Write

      Numbers and a diagram per story.

      Developer Relations Engineer 1 month

    4. 4

      Approve

      Customer review.

      Account Manager 2 weeks

    5. 5

      Publish

      Customers page by workload.

      Growth Engineer 1 week

    6. 6

      Use in deals

      Enablement for AEs and SAs.

      Regional Director Ongoing

    First result
    2 quarters
    Cost
    $0
    Owner
    Head of Marketing

    Smallest test

    Publish one new story this month.

    Why it works

    Organise customer stories by workload (inference, training and RL, sandboxes for coding agents, batch, audio, biology, robotics), each with a number (latency, cost, time to production) and a short architecture diagram. Ask the Series D logos for one each.

    Proof by workload is what the solutions architect needs in a 7-figure evaluation, and engineers trust architecture over adjectives.

    Risks and how to handle them

    • Customers protect architecture details

      Offer to anonymise numbers or show a simplified diagram.

    Evidence

    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringAccount Executive, Enterprise (New York): "accelerate Modal's growth with the world's most innovative AI companies"; run proofs of concept and pilots with solutions and engineering; expand existing accounts; "contribute to the foundation of Modal's sales process, culture, and playbooks". A Regional Director post (July 30, 2026; $400K) describes a Manager of Enterprise Sales who builds playbooks, qualification frameworks and "top-of-funnel programs".Source
    • HiringSolutions Architect (posted February 20, 2026): influence "7-8 figure infrastructure decisions"; "Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal's serverless infrastructure"; "This role is not demo support."Source
  • 11

    Modal says agents "increasingly deploy and operate Modal Apps" and is hiring for "agent-targeted, self-improving documentation". If a coding agent is asked to deploy a model and picks Modal, the docs decide whether it succeeds.

    High impactMedium effort First result in 1 quarter Documentation Engineer

    First action

    Write ten tasks and run them through two coding agents.

    How to measure it

    Agent task success

    Now
    –
    Target
    90%
    By
    2 quarters

    Steps

    1. 1

      Write tasks

      Ten common jobs.

      Documentation Engineer 1 week

    2. 2

      Run agents

      Two or three coding agents, docs only.

      Documentation Engineer 1 week

    3. 3

      Find failures

      Where and why agents fail.

      Documentation Engineer 1 week

    4. 4

      Fix docs

      Rewrite failing pages and examples.

      Documentation Engineer 1 month

    5. 5

      Automate

      Run the benchmark on every docs change.

      Growth Engineer 1 month

    6. 6

      Publish

      The method and results.

      Developer Relations Engineer 1 quarter

    First result
    1 quarter
    Cost
    $0-$5K in model usage
    Owner
    Documentation Engineer

    Smallest test

    Run one task through one agent today.

    Why it works

    Build an internal benchmark: a set of common tasks (deploy an LLM, run a batch job, start a sandbox) given to the major coding agents with only Modal's docs. Track success rate, fix the docs where agents fail, and publish the benchmark and results.

    Agents are becoming the ones who choose and use infrastructure; being the platform they succeed on is a growth channel no ad can buy.

    Risks and how to handle them

    • Agents change often

      Rerun monthly and report the trend.

    Evidence

    • HiringGrowth and docs roles: a Growth Engineer (posted May 18, 2026) owns the marketing site, docs, landing pages and microsites like the GPU Glossary and LLM Engine Advisor, including "agent-targeted, self-improving documentation"; a Documentation Engineer (September 21, 2026) because "docs [are] becoming even more important as agents increasingly deploy and operate Modal Apps".Source
    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
  • 12

    Modal has a Vanta trust center with SOC 2 and HIPAA, and is selling 7 to 8-figure deals, but enterprise buyers have to find these through sales. The pricing page ends Enterprise with a contact link.

    Medium impactMedium effort First result in 1 quarter Revenue Operations

    First action

    List what procurement asked for in the last five enterprise deals.

    How to measure it

    Median enterprise sales cycle

    Now
    –
    Target
    -20%
    By
    3 quarters

    Steps

    1. 1

      Collect asks

      Last five deals' procurement requests.

      Revenue Operations 1 week

    2. 2

      Build the pack

      Security, terms, support, deployment.

      Revenue Operations 2 weeks

    3. 3

      Publish the page

      Enterprise page with the pack.

      Growth Engineer 1 week

    4. 4

      Route

      Enterprise visitors to an SA or AE.

      Revenue Operations 1 week

    5. 5

      Track

      Asset opens per account.

      Revenue Operations Ongoing

    6. 6

      Review

      Cycle time quarterly.

      Regional Director Quarterly

    First result
    1 quarter
    Cost
    $0
    Owner
    Revenue Operations

    Smallest test

    Link the trust center from the pricing page.

    Why it works

    Add an enterprise page: security and compliance (trust center link), deployment options, support levels, procurement (contract and data processing terms), and a route straight to a solutions architect for technical evaluations. Track which assets buyers open.

    Large buyers move faster when the paperwork is ready; the RevOps hire owns lead routing that should send these buyers to the right person on day one.

    Risks and how to handle them

    • Over-publishing terms

      Share summaries publicly, full terms on request.

    Evidence

    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
    • Your websitePricing is per second (for example Nvidia B300 at $0.001972/s and H100 at $0.001097/s); Starter is $0 plus compute with $30 a month of free credits; Team is $250 a month plus compute with $100 of credits; Enterprise on request.Source
    • HiringSolutions Architect (posted February 20, 2026): influence "7-8 figure infrastructure decisions"; "Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal's serverless infrastructure"; "This role is not demo support."Source
    • HiringAccount Executive, Enterprise (New York): "accelerate Modal's growth with the world's most innovative AI companies"; run proofs of concept and pilots with solutions and engineering; expand existing accounts; "contribute to the foundation of Modal's sales process, culture, and playbooks". A Regional Director post (July 30, 2026; $400K) describes a Manager of Enterprise Sales who builds playbooks, qualification frameworks and "top-of-funnel programs".Source
  • 13

    The GPU Glossary has 86 pages and the brand role mentions "forthcoming publications". Engineers keep returning to reference material; a regular publication turns readers into an audience Modal owns.

    Medium impactMedium effort First result in 2 quarters Brand Designer

    First action

    Add an email subscription to the glossary pages and measure sign-ups.

    How to measure it

    Subscribers

    Now
    –
    Target
    20,000
    By
    3 quarters

    Steps

    1. 1

      Add subscriptions

      On glossary and blog pages.

      Growth Engineer 2 days

    2. 2

      Plan issue one

      Five pieces, two guest authors.

      Developer Relations Engineer 1 month

    3. 3

      Design

      Online and print editions.

      Brand Designer 1 month

    4. 4

      Publish

      Online, then print for events.

      Brand Designer 1 quarter

    5. 5

      Distribute

      Events, Slack, social.

      Field Marketing Manager Ongoing

    6. 6

      Measure

      Subscribers, reads, sign-ups.

      Growth Engineer Quarterly

    First result
    2 quarters
    Cost
    $15K-$40K a year
    Owner
    Brand Designer

    Smallest test

    Add the subscribe box to the glossary.

    Why it works

    Launch a quarterly technical publication (online first, a printed edition for events): deep pieces on GPU performance, inference engineering and post-training, written by Modal engineers and guests, with the glossary as the reference layer. Offer an email subscription on every glossary page.

    Owned audience compounds; it gives field marketing something to hand out and DevRel something to promote every quarter.

    Risks and how to handle them

    • Engineer time for writing

      Interview engineers and edit, rather than asking them to write.

    Evidence

    • HiringBrand (posted September 2, 2026): Modal's "newly formed Brand team"; "the brand that carries that story is still taking shape"; campaigns "from paid social to large-format outdoor", and editorial projects like the GPU Glossary "and forthcoming publications".Source
    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
  • 14

    Modal gives researchers up to $10k in credits and features their work (ARC Prize, Tokasaurus). Many of today's AI startups come out of exactly these labs.

    Medium impactMedium effort First result in 2 quarters Developer Relations Engineer

    First action

    List academic credit recipients from the last two years.

    How to measure it

    Startups founded by credit recipients that use Modal

    Now
    –
    Target
    10 a year
    By
    4 quarters

    Steps

    1. 1

      List recipients

      Last two years.

      Developer Relations Engineer 1 week

    2. 2

      Set the cadence

      Yearly check-in, event invites.

      Developer Relations Engineer Ongoing

    3. 3

      Startup offer

      Automatic credits when they found a company.

      Field Marketing Manager 1 month

    4. 4

      Feature papers

      A page of research run on Modal.

      Developer Relations Engineer Quarterly

    5. 5

      Connect to the graph

      Detect founding events.

      GTM Engineer, Data Platform 1 month

    6. 6

      Measure

      Conversions per year.

      Revenue Operations Yearly

    First result
    2 quarters
    Cost
    Credit cost only
    Owner
    Developer Relations Engineer

    Smallest test

    Send one note to five past recipients.

    Why it works

    Keep a light relationship with every academic credit recipient: a yearly check-in, invitations to events, and an automatic startup credit offer when they found or join a company. Highlight published papers that used Modal.

    It costs little and catches founders before they choose infrastructure; it pairs with the people graph (idea 9).

    Risks and how to handle them

    • Academics move slowly

      Treat it as a long-term pipeline, measured yearly.

    Evidence

    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringGTM Engineer, Data Platform (posted October 13, 2026): build "an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM"; the team already builds "agents for account research". A Revenue Operations hire owns lead routing, attribution and territories.Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
  • 15

    Modal threw Series C parties in all three cities in summer 2026 and has offices there. Those parties showed it can draw a crowd; a regular technical meetup turns one-off events into a community.

    Medium impactMedium effort First result in 2 months Field Marketing Manager

    First action

    Book the first venue in New York and invite two customer speakers.

    How to measure it

    Target-account attendees per meetup

    Now
    –
    Target
    15
    By
    2 quarters

    Steps

    1. 1

      Book venues

      Offices or partner spaces.

      Field Marketing Manager 2 weeks

    2. 2

      Line up speakers

      One customer, one Modal engineer.

      Developer Relations Engineer 1 month

    3. 3

      Invite

      Community plus personal invites to target accounts.

      Field Marketing Manager 2 weeks

    4. 4

      Run

      Monthly per city.

      Field Marketing Manager Monthly

    5. 5

      Record

      Talks for blog and video.

      Developer Relations Engineer Monthly

    6. 6

      Follow up

      AEs contact target-account attendees.

      Enterprise Account Executive 1 week after

    First result
    2 months
    Cost
    $2K-$6K per event
    Owner
    Field Marketing Manager

    Smallest test

    Run one meetup in New York.

    Why it works

    A monthly meetup in each city: two short technical talks (one from a customer), demos, and time for engineers to meet. Record the talks for the blog and YouTube. Invite target accounts' engineers personally.

    In-person events build the word of mouth Modal credits for its growth, and give AEs and DevRel a recurring place to meet target accounts.

    Risks and how to handle them

    • Attendance drops after novelty

      Keep talks sharp and rotate topics by workload.

    Evidence

    • Your websiteChecked October 18, 2026: robots.txt still carries a public engineering comment, "TODO: delete this group on 2026-09-15, once the stale dashboard URLs have dropped out of Google and Bing". The sitemap lists /c-function, a "Modal — Series C" page with RSVP links for summer 2026 parties in San Francisco, New York and Stockholm. The partners, startups and academics pages have no canonical tag.Source
    • HiringField Marketing Manager (posted October 5, 2026, San Francisco): account-based programs for named accounts; "Decide which industry conferences and sponsorships are worth investing in"; executive dinners, roundtables and technical workshops with AEs; "Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies".Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
    • HiringThe shared "About us" text on Modal's job posts: "We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation." Named customers: Ramp, Cognition, DoorDash and Suno; the ML forward deployed team works with Suno, Lovable, Cognition and Meta. 43 open roles across New York, San Francisco, Stockholm and London.Source

Big bets 3

Larger plays that can change the trajectory.

  • 16

    Modal already lists an implementation partner track for "software agencies and consultancies". As enterprises adopt AI, many will hire agencies to build; those agencies choose the infrastructure.

    High impactHigh effort First result in 3 quarters Partnerships lead

    First action

    Interview five agencies already building on Modal.

    How to measure it

    Partner-influenced revenue

    Now
    –
    Target
    10% of new enterprise
    By
    4 quarters

    Steps

    1. 1

      Interview agencies

      What they need.

      Partnerships lead 1 month

    2. 2

      Design tiers

      Certification, benefits, fees.

      Partnerships lead 1 month

    3. 3

      Build training

      Course and exam.

      Documentation Engineer 1 quarter

    4. 4

      Launch the directory

      Certified partners listed.

      Growth Engineer 1 month

    5. 5

      Co-sell

      Register deals, joint calls.

      Enterprise Account Executive Ongoing

    6. 6

      Review

      Partner revenue quarterly.

      Regional Director Quarterly

    First result
    3 quarters
    Cost
    $50K-$100K
    Owner
    Partnerships lead

    Smallest test

    Run a pilot with three agencies.

    Why it works

    Formalise the program: training and certification, a partner directory, deal registration and referral fees, co-selling with AEs on enterprise accounts, and credits for partner prototypes.

    Agencies bring repeatable enterprise deployments without Modal adding headcount; certified partners also take load off forward deployed engineers.

    Risks and how to handle them

    • Weak partners hurt reputation

      Certify on real deployments, not just an exam.

    Evidence

    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
    • HiringAccount Executive, Enterprise (New York): "accelerate Modal's growth with the world's most innovative AI companies"; run proofs of concept and pilots with solutions and engineering; expand existing accounts; "contribute to the foundation of Modal's sales process, culture, and playbooks". A Regional Director post (July 30, 2026; $400K) describes a Manager of Enterprise Sales who builds playbooks, qualification frameworks and "top-of-funnel programs".Source
    • HiringThe shared "About us" text on Modal's job posts: "We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation." Named customers: Ramp, Cognition, DoorDash and Suno; the ML forward deployed team works with Suno, Lovable, Cognition and Meta. 43 open roles across New York, San Francisco, Stockholm and London.Source
  • 17

    The Series D post names Physical Intelligence, 1X and Generalist AI (robotics), Chai Discovery and Achira (drug discovery), and Suno (music). The solutions pages cover comp-bio, audio and image and video. These industries have specialist buyers, events and language.

    High impactHigh effort First result in 3 quarters Head of Marketing

    First action

    Pick the first industry by revenue growth and assign an FDE.

    How to measure it

    New customers in the first track

    Now
    –
    Target
    +50%
    By
    4 quarters

    Steps

    1. 1

      Pick industries

      By growth and fit.

      Head of Marketing 2 weeks

    2. 2

      Assign specialists

      One FDE per industry.

      Forward Deployed Engineer 1 month

    3. 3

      Build pages

      Proof and reference architectures.

      Developer Relations Engineer 1 month

    4. 4

      Attend events

      Industry conferences.

      Field Marketing Manager Quarterly

    5. 5

      Brief

      Quarterly industry note.

      Developer Relations Engineer Quarterly

    6. 6

      Review

      Track revenue by industry.

      Revenue Operations Quarterly

    First result
    3 quarters
    Cost
    $40K-$120K
    Owner
    Head of Marketing

    Smallest test

    Publish one reference architecture for robotics.

    Why it works

    For each of two or three industries: a dedicated page with customer proof and reference architectures, a forward deployed engineer who specialises in it, a presence at that industry's main events, and a quarterly industry briefing.

    Specialist buyers trust specialist vendors; a dedicated track lets Modal win the next robotics or biology company before a general cloud does.

    Risks and how to handle them

    • Spreads the team thin

      Start with one industry and add only when it works.

    Evidence

    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • HiringThe shared "About us" text on Modal's job posts: "We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation." Named customers: Ramp, Cognition, DoorDash and Suno; the ML forward deployed team works with Suno, Lovable, Cognition and Meta. 43 open roles across New York, San Francisco, Stockholm and London.Source
    • HiringField Marketing Manager (posted October 5, 2026, San Francisco): account-based programs for named accounts; "Decide which industry conferences and sponsorships are worth investing in"; executive dinners, roundtables and technical workshops with AEs; "Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies".Source
  • 18

    Inference is crowded (Baseten, Together AI, Fireworks, RunPod and the hyperscalers), and every vendor claims to be fastest. Modal already runs the LLM Engine Advisor and publishes model benchmarks.

    High impactHigh effort First result in 2 quarters Inference Engineering and Pro…

    First action

    Choose five models and two engines and run the first set.

    How to measure it

    Backlinks per edition

    Now
    –
    Target
    50
    By
    3 quarters

    Steps

    1. 1

      Define the method

      Models, engines, metrics, settings.

      Inference Engineering and Product Lead 2 weeks

    2. 2

      Run

      On Modal and, where possible, elsewhere.

      Forward Deployed Engineer 2 weeks

    3. 3

      Open the code

      Repository with everything.

      Developer Relations Engineer 1 week

    4. 4

      Publish

      Report and interactive page.

      Growth Engineer 1 week

    5. 5

      Invite submissions

      Community and rivals.

      Developer Relations Engineer Ongoing

    6. 6

      Repeat

      Quarterly.

      Inference Engineering and Product Lead Quarterly

    First result
    2 quarters
    Cost
    $10K-$30K in compute
    Owner
    Inference Engineering and Product Lead

    Smallest test

    Publish one model's results with code.

    Why it works

    Publish a quarterly benchmark of popular open models across engines and GPUs, with all code and settings open so anyone can rerun them, including on other providers. Invite rivals and the community to submit runs.

    Open methods turn a claim into a resource developers cite, and Modal's elasticity and pricing show in the numbers without Modal having to say so.

    Risks and how to handle them

    • Results do not always favour Modal

      Publish anyway and fix the product; credibility is the point.

    Evidence

    • Competitor researchFrom rivals' homepages: Baseten ("the fastest, most reliable inference platform"), Together AI ("The AI Native Cloud"), RunPod ("The AI Developer Cloud"), Fireworks ("training and inference platform"), and for sandboxes E2B ("The Enterprise AI Agent Cloud... 100K+ teams, 2B+ sandboxes started") and Daytona ("Secure Infrastructure for Running AI-Generated Code", "90ms environment creation"). The hyperscalers (AWS, Google Cloud, Azure) are the incumbents Modal's solutions architects migrate customers from.Source
    • HiringGrowth and docs roles: a Growth Engineer (posted May 18, 2026) owns the marketing site, docs, landing pages and microsites like the GPU Glossary and LLM Engine Advisor, including "agent-targeted, self-improving documentation"; a Documentation Engineer (September 21, 2026) because "docs [are] becoming even more important as agents increasingly deploy and operate Modal Apps".Source
    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source

Wildcards 3

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

  • 19

    modal-examples has 1,282 stars, and many research repos already include Modal scripts. A button in a README that launches the code on Modal, with credits, turns every repo into a doorway.

    Medium impactMedium effort First result in 2 months Developer Relations Engineer

    First action

    Build the badge for modal-examples and two partner repos.

    How to measure it

    Sign-ups from badge launches

    Now
    –
    Target
    500 a quarter
    By
    2 quarters

    Steps

    1. 1

      Design the config

      A small file describing the app.

      Documentation Engineer 2 weeks

    2. 2

      Build the launcher

      Clone and deploy with credits.

      Growth Engineer 1 month

    3. 3

      Make the badge

      For READMEs.

      Brand Designer 1 day

    4. 4

      Seed repos

      Modal examples and partner repos.

      Developer Relations Engineer 1 month

    5. 5

      Recruit maintainers

      Research groups and OSS projects.

      Developer Relations Engineer Ongoing

    6. 6

      Measure

      Launches and sign-ups.

      Revenue Operations Monthly

    First result
    2 months
    Cost
    $5K-$20K in credits
    Owner
    Developer Relations Engineer

    Smallest test

    Add a launch link to one example.

    Why it works

    Create a badge and a launch link that clones the repo into a Modal app with the right GPU, using a small config file. Offer it to research groups and open-source maintainers, starting with ones already using Modal.

    It spreads through the places engineers already look, and each launch is a new user who has seen the product work.

    Risks and how to handle them

    • Abuse of free credits

      Small credits per launch, verified accounts.

    Evidence

    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.Source
    • HiringDeveloper Relations Engineer: "Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today"; technical content, talks, community on X, LinkedIn, Reddit and Slack, and "joint marketing activities with other developer-focused companies".Source
    • Your websitePrograms: startup credits for companies that have "raised any amount of VC funding from our VC partner network" or more than $1M from any fund, one grant per tier; academic credits "up to $10k"; partner programs for integration partners, AI model partners ("day-zero deployment partner"), implementation partners (agencies and consultancies) and education partners. The customers page says Modal powers "over 10,000+ teams"; the partners page says "Tens of thousands of developers".Source
  • 20

    The new brand team is hired to run campaigns "from paid social to large-format outdoor". Modal's buyers are concentrated in a few neighbourhoods and events.

    Medium impactHigh effort First result in 2 months Brand Designer

    First action

    Pick two locations and write three lines.

    How to measure it

    Branded search lift in campaign cities

    Now
    –
    Target
    +20%
    By
    1 quarter

    Steps

    1. 1

      Pick locations

      Near AI offices and conference venues.

      Brand Designer 2 weeks

    2. 2

      Write lines

      Three technical lines.

      Brand Designer 1 week

    3. 3

      Design

      With the brand system.

      Brand Designer 2 weeks

    4. 4

      Run

      Four to six weeks.

      Brand Designer 6 weeks

    5. 5

      Measure

      Branded search and URL visits.

      Growth Engineer Weekly

    6. 6

      Decide

      Repeat only if lift shows.

      Head of Marketing 1 week

    First result
    2 months
    Cost
    $30K-$100K
    Owner
    Brand Designer

    Smallest test

    One billboard near one conference.

    Why it works

    A small, technical outdoor campaign near AI offices in San Francisco and New York and at the venues of the main AI conferences: one line an engineer understands (for example "Stop paying for GPUs you are not using."), a short URL, measured with branded search and the URL's visits.

    For a company that grew on word of mouth, a sharp outdoor campaign starts conversations and recruits as well as sells.

    Risks and how to handle them

    • Hard to measure

      Use unique URLs and city-level branded search.

    Evidence

    • HiringBrand (posted September 2, 2026): Modal's "newly formed Brand team"; "the brand that carries that story is still taking shape"; campaigns "from paid social to large-format outdoor", and editorial projects like the GPU Glossary "and forthcoming publications".Source
    • HiringThe shared "About us" text on Modal's job posts: "We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation." Named customers: Ramp, Cognition, DoorDash and Suno; the ML forward deployed team works with Suno, Lovable, Cognition and Meta. 43 open roles across New York, San Francisco, Stockholm and London.Source
  • 21

    Coding agents increasingly decide where code runs. If an agent asked "deploy this model" reaches for Modal by default, every developer using that agent is a potential user.

    High impactMedium effort First result in 1 quarter Agent DX research team

    First action

    Check what three coding agents do today when asked to deploy a model to a GPU.

    How to measure it

    Agent-started deployments

    Now
    –
    Target
    20% of new apps
    By
    3 quarters

    Steps

    1. 1

      Benchmark agents

      What they choose today.

      Documentation Engineer 1 week

    2. 2

      Fill gaps

      MCP server, llms.txt, templates.

      Growth Engineer 1 month

    3. 3

      Talk to agent makers

      Offer integrations.

      Partnerships lead 1 quarter

    4. 4

      Tag usage

      Detect agent-started deployments.

      Revenue Operations 1 month

    5. 5

      Promote

      Guides for each agent.

      Developer Relations Engineer Ongoing

    6. 6

      Measure

      Share of agent-started apps.

      Revenue Operations Monthly

    First result
    1 quarter
    Cost
    $0-$10K
    Owner
    Agent DX research team

    Smallest test

    Publish an llms.txt for the docs.

    Why it works

    Ship and promote the pieces agents need: a clear CLI and API, an MCP server, short machine-readable docs (llms.txt), and templates the major coding agents can use. Work with agent makers to include Modal as a deployment option, and measure deployments that start from agents.

    It turns the agent shift Modal is already preparing for into distribution, and it compounds with the docs benchmark (idea 11).

    Risks and how to handle them

    • Agents change fast

      Keep the integration surface simple and standard.

    Evidence

    • HiringGrowth and docs roles: a Growth Engineer (posted May 18, 2026) owns the marketing site, docs, landing pages and microsites like the GPU Glossary and LLM Engine Advisor, including "agent-targeted, self-improving documentation"; a Documentation Engineer (September 21, 2026) because "docs [are] becoming even more important as agents increasingly deploy and operate Modal Apps".Source
    • Your websiteSeries D post (October 14, 2026): usage has tripled since the Series C five months earlier; Sandboxes is "a $300M run rate product just on its own", with close to 3 billion sandboxes started and scaling to a million concurrent; the capacity pool spans "20+ clouds"; recent launches include multi-node training, Modal servers, Endpoint Candidates and virtual machines; Modal is "moving up the stack" into RL and post-training. Customers named include DoorDash, Cognition, Ramp, Linear, Hebbia, Runway, Physical Intelligence and Chai Discovery.Source
    • programmable.infoChrome UX Report: mobile load (LCP) 3.07 s at the 75th percentile, 14% slower than a year ago. 709 URLs in the sitemap: 348 docs pages, 146 blog posts, 86 GPU Glossary pages, 54 model library pages. A Vanta trust center lists SOC 2 and HIPAA. GitHub: modal-examples has 1,282 stars; 166 Hacker News mentions.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

Fill the events in this plan

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ProgrammableDigital

Show it, don't just describe it

These ideas need something to show: a demo, a video, an animation, graphics or a deck. Digital turns screenshots or the site into all of them, in the company's own brand.

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See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 21, 2026, and cites them throughout. Modal did not commission, review or endorse it, and Programmable is not affiliated with Modal. 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 Modal runs its business.

Something wrong, or do you represent Modal? 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 307 ideas

    Usage signals for account managers, public leftovers, mobile speed, day-zero model pages, startup credits and the Sandboxes front door, plus the first fund office hours.

  2. Days 31 to 608 ideas

    Migration assessments, people moves, stories by workload, docs for agents, the enterprise path, the publication, academics and meetups.

  3. Days 61 to 906 ideas

    Partner program, industry tracks and open benchmarks, plus the wildcards.

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 GPUs that spin up in seconds without reserving capacity. The most cited problem: scarce GPUs and idle reserved capacity.

  • Paying only for compute used
  • Slow model loading and cold starts
  • In their words: “just spin it up and it works”

Market

Competitive landscape

5 competitors compared: Baseten, Together AI, Fireworks and RunPod, E2B and Daytona and 1 more.

  • Gap to exploit: Open, reproducible inference benchmarks
  • Baseten: Narrower than Modal's platform
  • Together AI: Overlapping claims make differentiation hard

Hiring signals

Modal's 43 roles show a developer-led company building enterprise go-to-market at speed.

  • Account Manager: First account managers; retention and expansion on consumption revenue. Ideas 1, 10.
  • Account Executive, Enterprise: Enterprise new business with pilots and expansion. Ideas 8, 12.
  • Regional Director: Leads enterprise sales; playbooks and top-of-funnel programs. Ideas 10, 12.

From the team that wrote this playbook

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  • 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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