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Generated Oct 23, 2026
  1. Programmable
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  3. Pave
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growth playbook · Oct 23, 2026

pave.com (opens in a new tab)

Pave growth playbook

Diagnosis

Pave has a strong product and a unique asset: real-time pay data across 9,000+ companies and $190+ billion of compensation spend. It is now hiring a Marketing Communications Lead to own PR, brand, thought leadership, customer stories and the website, alongside SDRs, account managers, success engineers and the team building Pave Agent.

The website does not yet use the data well for earned media: 34 data pages are titled just "Pave", there is no newsroom, a case study shows placeholder text, and the dataset size is quoted three ways.

This playbook fixes those first, then builds a quarterly press moment, comparison pages, monthly customer stories, a share-of-voice baseline and an upgrade path from free data, with a monthly Pave Pay Report as the big bet.

Growth Score

8/10

Biggest Opportunity

Become the source the press, analysts and AI assistants cite on pay, with every citation leading to free Market Data Lite.

Biggest Risk

Compensation tools are crowded (Payscale, Compa, Figures, survey providers), and a data brand loses trust quickly if its public pages look careless.

01

Start here

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

  1. 1

    Give the Hot Jobs Index and Macro Trends pages real titles and answers: 34 of them are called just "Pave"

    Rewrite the titles and descriptions of the 34 pages in the CMS template.

    High impact First result in 1 month
  2. 2

    A newsroom with a data desk: press page, media kit and a "request Pave data" form

    Draft the boilerplate and spokesperson list.

    High impact First result in 1 month
  3. 3

    Replace the "Lorem ipsum" description on the Ro case study and the other wrong page descriptions

    Fix the three descriptions today.

    Medium impact First result in 1 day

02

Your idea portfolio

20 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.

  • 7 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 · 3Big bets · 10Fill-ins · 6Reconsider · 1
Effort →

Showing 20 of 20 ideas

This week 6

Quick wins with a clear first action.

  • 01

    The new Marketing Communications Lead is hired to own the website and turn Pave's data into "market-moving moments". The pages built for exactly that, the Hot Jobs Index entries, the Hot & Cold Jobs Index and the Macro Trends, mostly carry the page title "Pave" and nothing else: 34 pages in all. The 14 index and macro trend pages have no H1, the "Lowest Talent Alpha" page never names the country in its text, and the Marketing Analytics page tells search engines it "Manages front desk and administrative support". A journalist or AI assistant looking for "hottest jobs Q3 2026" sees a row of results all titled "Pave".

    High impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Rewrite the titles and descriptions of the 34 pages in the CMS template.

    How to measure it

    Search impressions for Hot Jobs and Macro Trends pages

    Now
    –
    Target
    3x
    By
    90 days

    Steps

    1. 1

      List the pages

      All 34 pages with their current title, H1 and description.

      Marketing Communications Lead 2 hours

    2. 2

      Write the template

      Title, H1 and description patterns with the finding and the period.

      Marketing Communications Lead 1 day

    3. 3

      Add the answer line

      One plain-text sentence at the top of each page.

      Data Scientist 2 days

    4. 4

      Fix the errors

      Marketing Analytics description, empty descriptions and the "01" ranks.

      Marketing Communications Lead 1 day

    5. 5

      Add structured data

      Dataset markup with period and source.

      Senior Software Frontend Engineer, Market Pricing 1 day

    6. 6

      Add "cite this data"

      Citation text and link on every page.

      Marketing Communications Lead 1 day

    7. 7

      Measure

      Search Console impressions and AI assistant answers monthly.

      Marketing Communications Lead monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Marketing Communications Lead

    Smallest test

    Fix the titles of the ten hottest job pages and compare impressions in four weeks.

    Why it works

    Give each page a title and H1 with the finding and the date ("AI Engineer: #1 hottest job, Q3 2026 Hot Jobs Index | Pave"), a one-sentence answer in plain text at the top (the score, the change, the dataset size and period), a correct description, Dataset structured data, and a "cite this data" line with a link back. Fix the "01" numbering on the index.

    These pages are Pave's most quotable assets. Clear titles and answers in text are what search results, reporters and AI assistants pick up, and every citation is brand awareness and a link to a free Market Data Lite signup.

    Ready to use

    ChecklistData page fix list

    [ ] Title: "<Finding>, <Period> | Pave Hot Jobs Index"
[ ] One H1 that states the finding
[ ] First sentence: score, change, dataset size, period
[ ] Description: the finding, not boilerplate (fix "Manages front desk...")
[ ] Name the answer in text (e.g. the Lowest Talent Alpha country)
[ ] Ranks numbered 1-10, not "01"
[ ] Dataset structured data
[ ] "Cite this data" line and link
[ ] Link to free Market Data Lite

    Risks and how to handle them

    • Numbers change each quarter

      Put the period in every title and update with each release.

    • Misreading of scores

      Explain in one line how the score is calculated.

    Evidence

    • Your websiteChecked October 22, 2026: 34 of Pave's data pages have the page title "Pave" and nothing else: 20 Hot Jobs pages (/hot-job-list/...), 5 Hot & Cold Jobs Index pages and 9 Macro Trends pages. The 14 index and macro trend pages have no H1. The "Lowest Talent Alpha" page's text never names the country; the Marketing Analytics hot job page's description reads "Manages front desk and administrative support", and the Frontend Engineer page's description is empty.Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
  • 02

    The Marketing Communications Lead owns PR and is asked to "hire and engage the right PR resources to grow our earned media position" using Pave's data. Yet pave.com has no press page: /press, /newsroom and /media all return 404, and the sitemap has no media kit or data request page.

    High impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Draft the boilerplate and spokesperson list.

    How to measure it

    Monthly press mentions citing Pave data

    Now
    –
    Target
    +50%
    By
    2 quarters

    Steps

    1. 1

      Agree the boilerplate

      One description and dataset number.

      Marketing Communications Lead 2 days

    2. 2

      Build the page

      Newsroom, media kit, coverage.

      Marketing Communications Lead 1 week

    3. 3

      Set up the data desk

      Request form and a 48-hour answer target.

      Data Scientist 1 week

    4. 4

      Pick spokespeople

      Topics and bios.

      Marketing Communications Lead 1 week

    5. 5

      Brief PR resources

      Pitch calendar from the data.

      Marketing Communications Lead 2 weeks

    6. 6

      Track

      Mentions and links monthly.

      Marketing Communications Lead monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Marketing Communications Lead

    Smallest test

    Publish the media kit page this week.

    Why it works

    Publish /newsroom with recent announcements and coverage, a media kit (logos, boilerplate, the one agreed dataset number), spokesperson bios and topics, data methodology, and a form for reporters to request a custom cut of the data with a response time.

    Reporters on deadline use the source that is easiest to quote. A data desk turns Pave's dataset into steady earned media and measurable share of voice.

    Risks and how to handle them

    • Data requests overload the team

      Offer standard cuts first; custom cuts by priority.

    Evidence

    • Your websiteNo press or newsroom page: /press, /newsroom, /company/press, /media and /press-kit all return 404, and none of the 527 sitemap URLs is a press page, media kit or data request page. The Company menu has Our Purpose, Leadership, Board & Investors, Careers, Security & Privacy and Legal.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
  • 03

    The Ro case study's search description is placeholder text ("Lorem ipsum dolor sit amet..."), the J.P. Morgan partnership page describes "the Newfront + Pave partnership", and the Pave Agent page reuses the homepage description. These are the snippets prospects see in search before they click.

    Medium impactLow effort First result in 1 day Marketing Communications Lead

    First action

    Fix the three descriptions today.

    How to measure it

    Bad descriptions

    Now
    –
    Target
    0
    By
    2 weeks

    Steps

    1. 1

      Fix the three

      Ro, J.P. Morgan, Pave Agent.

      Marketing Communications Lead 1 hour

    2. 2

      Export all

      Titles and descriptions for 527 URLs.

      Marketing Communications Lead 2 hours

    3. 3

      Find problems

      Empty, duplicate, placeholder.

      Marketing Communications Lead 2 hours

    4. 4

      Rewrite

      Priority pages first.

      Marketing Communications Lead 2 days

    5. 5

      Add a CMS check

      Required, non-placeholder field.

      Senior Software Frontend Engineer, Market Pricing 1 day

    6. 6

      Review

      Quarterly export.

      Marketing Communications Lead quarterly

    First result
    1 day
    Cost
    $0
    Owner
    Marketing Communications Lead

    Smallest test

    Fix the Ro description now.

    Why it works

    Write a specific description for each, then check every page's description in a single export and fix duplicates and placeholders. Add a CMS check that blocks publishing with an empty or placeholder description.

    It is a one-day fix that removes visible sloppiness from the brand the new lead is asked to make "world-class".

    Risks and how to handle them

    • Overlooked collections

      Check every CMS collection, not only pages.

    Evidence

    • Your websitePage descriptions shown in search results: the Ro case study's description is placeholder text ("Lorem ipsum dolor sit amet, consectetur adipiscing elit..."); the J.P. Morgan partnership page's description talks about "the Newfront + Pave partnership"; /pave-agent reuses the homepage description ("What is compensation management software? Pave is the AI-native platform...").Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • Your websiteChecked October 22, 2026: 34 of Pave's data pages have the page title "Pave" and nothing else: 20 Hot Jobs pages (/hot-job-list/...), 5 Hot & Cold Jobs Index pages and 9 Macro Trends pages. The 14 index and macro trend pages have no H1. The "Lowest Talent Alpha" page's text never names the country; the Marketing Analytics hot job page's description reads "Manages front desk and administrative support", and the Frontend Engineer page's description is empty.Source
  • 04

    The homepage and pricing say "9,000+ integrated Pave clients", the Market Data Pro description says "8,700+ companies", and the salary benchmarking page says 8,000. Reporters, analysts and AI assistants quote whichever they find first, and a buyer comparing pages notices.

    Medium impactLow effort First result in 1 week Marketing Communications Lead

    First action

    Ask Data for the current number and definition.

    How to measure it

    Pages with the current dataset number

    Now
    –
    Target
    100%
    By
    30 days

    Steps

    1. 1

      Agree the number

      Definition and date.

      Data Scientist 1 day

    2. 2

      Make it a field

      One CMS variable.

      Senior Software Frontend Engineer, Market Pricing 1 day

    3. 3

      Replace

      All pages and descriptions.

      Marketing Communications Lead 1 day

    4. 4

      Update boilerplate

      Job posts and press.

      Marketing Communications Lead 1 day

    5. 5

      Set a schedule

      Quarterly refresh.

      Data Scientist quarterly

    6. 6

      Check

      Site search for old numbers.

      Marketing Communications Lead quarterly

    First result
    1 week
    Cost
    $0
    Owner
    Marketing Communications Lead

    Smallest test

    Search the site for "8,700" and "8,000" and list the pages.

    Why it works

    Agree one number and one definition with Data, put it in a single CMS field used by every page and the boilerplate, and update it on a schedule. Use the same number in the newsroom and in job posts.

    Consistency is part of credibility for a data company, and it is the first item in the new lead's brief: "a consistent voice".

    Risks and how to handle them

    • Number falls one quarter

      Use a rounded floor that stays true.

    Evidence

    • Your websiteThe size of the dataset is stated differently across pages: "9,000+ integrated Pave clients" on the homepage and pricing page, "8,700+ companies" in the Market Data Pro description, and "8,000" in the salary benchmarking page description.Source
    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
  • 05

    The SDR is asked to "Leverage AI-powered sales tools and data signals to prioritize outreach" to HR and Finance leaders. Pave publishes which roles are hottest (AI Engineer, Forward Deployed Engineering, Internal Audit). A company posting those roles has an urgent pricing question right now.

    High impactLow effort First result in 2 weeks Sales Development Representat…

    First action

    List 50 target accounts hiring AI Engineers this week.

    How to measure it

    Meetings booked from the trigger

    Now
    –
    Target
    15 a month
    By
    60 days

    Steps

    1. 1

      Pick roles

      Top ten from the index.

      Sales Development Representative 1 hour

    2. 2

      Find accounts

      Job postings by target account.

      Sales Development Representative weekly

    3. 3

      Write the note

      Finding plus free benchmark offer.

      Sales Development Representative 1 day

    4. 4

      Send

      Email and LinkedIn.

      Sales Development Representative weekly

    5. 5

      Hand off

      Replies to the AE with context.

      Enterprise Account Executive ongoing

    6. 6

      Measure

      Reply and meeting rates.

      Sales Development Representative weekly

    First result
    2 weeks
    Cost
    Data signal tool costs
    Owner
    Sales Development Representative

    Smallest test

    Send 50 notes about AI Engineer pay this week.

    Why it works

    Each week, find target accounts with open postings for the top-ten hot roles, and send the head of total rewards a short note with the public index finding and an offer of a free Market Data Lite benchmark for that role. Route replies to the AE.

    Outreach about the exact role a company is struggling to price is relevant, timely and backed by Pave's own data.

    Risks and how to handle them

    • Feels like surveillance

      Lead with the public index, not their postings.

    Evidence

    • HiringSales Development Representative (San Francisco): "prospecting into HR and Finance leaders" across phone, email and LinkedIn; "Leverage AI-powered sales tools and data signals to prioritize outreach"; partners with Account Executives on account plans. An Enterprise Account Executive role (open on the board) drives "six-figure deals that expand Pave's compensation network" through inbound and outbound.Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source
  • 06

    The Hot Jobs Index has scores and a monthly summary that HR bloggers, newsletters and recruiters would share, but there is no embed or share option. Every shared screenshot loses the link to Pave.

    Medium impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Make one embeddable chart for the top ten.

    How to measure it

    Embedding sites

    Now
    –
    Target
    50
    By
    2 quarters

    Steps

    1. 1

      Design

      Chart and share image.

      Marketing Communications Lead 1 week

    2. 2

      Build embed

      Responsive chart with source.

      Senior Software Frontend Engineer, Market Pricing 1 week

    3. 3

      Add to pages

      Index and job pages.

      Senior Software Frontend Engineer, Market Pricing 2 days

    4. 4

      Promote

      Newsroom and Pace.

      Marketing Communications Lead 1 week

    5. 5

      Pitch

      HR newsletters and recruiters.

      Marketing Communications Lead 2 weeks

    6. 6

      Track

      Embeds and referral traffic.

      Marketing Communications Lead monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Marketing Communications Lead

    Smallest test

    Share one chart image in the next newsletter.

    Why it works

    Add an embed code and a share image to each index chart and job page, with "Source: Pave Hot Jobs Index, Q3 2026" and a link. Offer it in the newsroom and the Pace newsletter.

    Embeds spread the brand and earn links automatically, and the source line names Pave every time.

    Risks and how to handle them

    • Stale embeds

      Embeds update with the latest quarter.

    Evidence

    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Social channelsYouTube @pavecompensation: 65 subscribers, 35 videos, about 4,200 views; a Substack newsletter ("Pace"); Pave Data Lab, an "AI-powered insights community for compensation professionals".Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source

This quarter 9

The core plays for the next three months.

  • 07

    The marketing team aims to create "market-moving moments" from data, and the communications lead prepares executives for media. The index already has a quarterly cadence and clear stories ("Generalists are out, specialists are in").

    High impactMedium effort First result in 1 quarter Marketing Communications Lead

    First action

    Pick five reporters who cover jobs and pay.

    How to measure it

    Articles per quarterly release

    Now
    –
    Target
    10
    By
    2 quarters

    Steps

    1. 1

      Pick the story

      Three findings.

      Data Scientist 1 week

    2. 2

      Prepare the spokesperson

      Quotes and Q&A.

      Marketing Communications Lead 1 week

    3. 3

      Brief reporters

      Under embargo.

      Marketing Communications Lead 1 week

    4. 4

      Publish

      Pages, newsroom and LinkedIn.

      Marketing Communications Lead 1 day

    5. 5

      Webinar

      For comp teams.

      Marketing Communications Lead 1 week

    6. 6

      Sales follow-up

      Email to pipeline.

      Sales Development Representative 1 week

    First result
    1 quarter
    Cost
    PR resources
    Owner
    Marketing Communications Lead

    Smallest test

    Brief two reporters on the next release.

    Why it works

    For each release: an embargoed briefing for five reporters, a spokesperson with three quotable lines, a LinkedIn post from the CEO, a webinar for comp teams and a sales email with the findings.

    A predictable release becomes a date reporters expect, and the same findings feed sales and the community.

    Risks and how to handle them

    • Findings misreported

      Give a methodology note with each release.

    Evidence

    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • Your websiteNo press or newsroom page: /press, /newsroom, /company/press, /media and /press-kit all return 404, and none of the 527 sitemap URLs is a press page, media kit or data request page. The Company menu has Our Purpose, Leadership, Board & Investors, Careers, Security & Privacy and Legal.Source
  • 08

    Pave has 360 blog posts but no pages comparing itself with other compensation tools or with traditional surveys. Rivals position on AI (Compa, "think like a comp expert"), intelligence (Payscale) and EU compliance (Figures).

    High impactMedium effort First result in 1 quarter Head of Marketing

    First action

    Ask sales which alternatives come up most.

    How to measure it

    Comparison-page demos

    Now
    –
    Target
    30 a month
    By
    2 quarters

    Steps

    1. 1

      Pick rivals

      Four most common.

      Enterprise Account Executive 1 day

    2. 2

      Check facts

      Their current offers.

      Head of Marketing 1 week

    3. 3

      Write

      Fair tables and switching help.

      Head of Marketing 2 weeks

    4. 4

      Legal review

      Claims and trademarks.

      Legal 1 week

    5. 5

      Publish

      Linked from pricing.

      Marketing Communications Lead 1 day

    6. 6

      Refresh

      Quarterly.

      Head of Marketing quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Head of Marketing

    Smallest test

    Publish "Pave vs salary surveys" first.

    Why it works

    Publish fair comparisons: data freshness, dataset size, peer groups, equity data, workflows, AI agent and price model, with a switching guide and a customer quote each.

    Buyers compare before demos; these pages meet them there and teach AI assistants Pave's differences.

    Risks and how to handle them

    • Dated claims

      Date each page.

    Evidence

    • Your websiteSitemap (527 URLs): 360 blog posts, 14 case studies, 11 landing pages under /s (AI engineer, fintech, IT, finance salary benchmarking), 4 industry pages, 4 region pages (EU, UK, Israel, Australia), 6 "competitive advantage" industry trend pages; no comparison pages against other compensation tools.Source
    • Competitor researchRivals' own homepages: Figures, "Salary benchmarking, pay equity analysis, and EU Pay Transparency Directive compliance", "Trusted by 500+ companies across Europe"; Compa, "AI for Enterprise Compensation Teams", "Built to think like a comp expert"; Payscale, "the compensation intelligence platform that unites data, workflows, and AI-powered insights".Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source
  • 09

    Customer stories are in the communications lead's remit. Pave has 14 case studies for 9,000+ companies, while it has pages for four industries and four regions (EU, UK, Israel, Australia) that need local proof.

    High impactMedium effort First result in 2 quarters Marketing Communications Lead

    First action

    Ask account managers for three customers with clear results.

    How to measure it

    New case studies

    Now
    –
    Target
    6 in two quarters
    By
    2 quarters

    Steps

    1. 1

      Map gaps

      Industries and regions without stories.

      Marketing Communications Lead 1 week

    2. 2

      Find customers

      With measurable results.

      Account Manager 2 weeks

    3. 3

      Interview

      Monthly.

      Marketing Communications Lead monthly

    4. 4

      Publish

      Story and clip.

      Marketing Communications Lead monthly

    5. 5

      Link

      From industry and region pages.

      Marketing Communications Lead monthly

    6. 6

      Arm sales

      One-page versions.

      Marketing Communications Lead monthly

    First result
    2 quarters
    Cost
    Staff time only
    Owner
    Marketing Communications Lead

    Smallest test

    Publish one story for the EU page.

    Why it works

    Publish one story a month, chosen to fill gaps: one per industry and region page, each with a measurable result like Dropbox's "4,000+ hours saved", and a short video clip. Link each from its industry or region page.

    Peers in the same industry or country are the strongest proof for a compensation buyer.

    Risks and how to handle them

    • Approvals slow

      Offer anonymised stories.

    Evidence

    • Your websiteCustomers page and case studies: Dropbox "4,000+ hours saved annually on the compensation planning process"; Xero "Turned Months of Reviews into Minutes"; SharkNinja brought "transparency, audit trails, and granular access controls" to cycles for 4,000+ employees; testimonials from Clay, Databricks and others. 14 case studies for 9,000+ companies.Source
    • Your websiteSitemap (527 URLs): 360 blog posts, 14 case studies, 11 landing pages under /s (AI engineer, fintech, IT, finance salary benchmarking), 4 industry pages, 4 region pages (EU, UK, Israel, Australia), 6 "competitive advantage" industry trend pages; no comparison pages against other compensation tools.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
  • 10

    The role must "define and track communications metrics, including share of voice and brand awareness" and report ROI. Without a baseline, PR results are anecdotes.

    Medium impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Run the 20 AI assistant questions today as a baseline.

    How to measure it

    Pave share of voice vs four rivals

    Now
    –
    Target
    +10 points
    By
    2 quarters

    Steps

    1. 1

      Pick sources

      Press, LinkedIn, AI answers.

      Marketing Communications Lead 1 week

    2. 2

      Set rivals

      Four names.

      Marketing Communications Lead 1 day

    3. 3

      Baseline

      First month.

      Marketing Communications Lead 1 month

    4. 4

      Add web signals

      Branded search, citations.

      Marketing Communications Lead 2 weeks

    5. 5

      Report

      Monthly to leadership.

      Marketing Communications Lead monthly

    6. 6

      Act

      Shift effort to what works.

      Marketing Communications Lead monthly

    First result
    1 month
    Cost
    Monitoring tool
    Owner
    Marketing Communications Lead

    Smallest test

    Baseline AI assistant answers.

    Why it works

    Track monthly mentions of Pave vs four rivals in press, LinkedIn and AI assistant answers to 20 compensation questions, plus branded search, data page citations and newsroom requests.

    A baseline shows which stories and channels move awareness, and justifies the PR budget.

    Risks and how to handle them

    • Vanity metrics

      Tie to demos and pipeline.

    Evidence

    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • Competitor researchRivals' own homepages: Figures, "Salary benchmarking, pay equity analysis, and EU Pay Transparency Directive compliance", "Trusted by 500+ companies across Europe"; Compa, "AI for Enterprise Compensation Teams", "Built to think like a comp expert"; Payscale, "the compensation intelligence platform that unites data, workflows, and AI-powered insights".Source
    • Your websiteChecked October 22, 2026: 34 of Pave's data pages have the page title "Pave" and nothing else: 20 Hot Jobs pages (/hot-job-list/...), 5 Hot & Cold Jobs Index pages and 9 Macro Trends pages. The 14 index and macro trend pages have no H1. The "Lowest Talent Alpha" page's text never names the country; the Marketing Analytics hot job page's description reads "Manages front desk and administrative support", and the Frontend Engineer page's description is empty.Source
  • 11

    Market Data Lite gives free benchmarks for 290+ job families in two locations; Pro adds 60+ countries, peer groups and equity data. Free users who hit those limits are the best expansion pipeline, and account managers own expansion.

    High impactMedium effort First result in 1 quarter Account Manager

    First action

    Count Lite users who tried a locked feature last month.

    How to measure it

    Lite accounts upgrading

    Now
    –
    Target
    +25%
    By
    2 quarters

    Steps

    1. 1

      Define triggers

      Locked features used.

      Account Manager 1 week

    2. 2

      Build previews

      Blurred Pro answers.

      Senior Software Frontend Engineer, Market Pricing 1 month

    3. 3

      Route signals

      Weekly list to account team.

      Account Manager 1 week

    4. 4

      Write offers

      By trigger.

      Account Manager 1 week

    5. 5

      Run

      All Lite accounts.

      Account Manager ongoing

    6. 6

      Measure

      Upgrade rate.

      Data Scientist monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Account Manager

    Smallest test

    Call ten Lite users who tried Pro features.

    Why it works

    Track when Lite users search for a third location, a peer group or equity data, and show a preview of the Pro answer with an offer to talk. Send those signals to the account team weekly.

    Upgrades triggered by a real need close faster than generic nurture.

    Risks and how to handle them

    • Free users feel pushed

      Show value first, ask once.

    Evidence

    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source
    • HiringAccount Manager: owns "a book of business end-to-end, driving both renewal and expansion revenue" and makes sure customers get "real, measurable outcomes from Pave's product suite & AI Agent". Customer Success Engineer (updated October 21, 2026): onboards and manages "30-40 customers at a time" and owns implementation projects with HR and Finance leaders.Source
    • Your websitePartner pages for compensation consultants, business alliances, technology partners and venture capital firms, plus co-branded pages for J.P. Morgan and Newfront; Market Data Lite is free for companies that "Sign-up, integrate, and go".Source
  • 12

    Customer Success Engineers manage 30-40 customers at a time and own implementations. Time to first value (first market pricing, first merit cycle) decides renewals that account managers then own.

    High impactMedium effort First result in 1 quarter Customer Success Engineer

    First action

    Measure time to first band for the last 20 customers.

    How to measure it

    Days to first market pricing

    Now
    –
    Target
    -30%
    By
    2 quarters

    Steps

    1. 1

      Set milestones

      Four steps.

      Customer Success Engineer 1 week

    2. 2

      Baseline

      Last 20 customers.

      Customer Success Engineer 1 week

    3. 3

      Automate emails

      Progress updates.

      Customer Success Engineer 2 weeks

    4. 4

      Add alerts

      Slipped milestones.

      Customer Success Engineer 1 week

    5. 5

      Hand to AM

      Outcome summary.

      Account Manager ongoing

    6. 6

      Review

      Monthly.

      Customer Success Engineer monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Customer Success Engineer

    Smallest test

    Run the plan on five new customers.

    Why it works

    Define four milestones (HRIS connected, jobs matched, first bands, first cycle), send automatic progress emails to the customer and alert the engineer when a milestone slips.

    A visible plan keeps large books on track and gives account managers proof of outcomes at renewal.

    Risks and how to handle them

    • Customers stall on their side

      Escalate to their sponsor.

    Evidence

    • HiringAccount Manager: owns "a book of business end-to-end, driving both renewal and expansion revenue" and makes sure customers get "real, measurable outcomes from Pave's product suite & AI Agent". Customer Success Engineer (updated October 21, 2026): onboards and manages "30-40 customers at a time" and owns implementation projects with HR and Finance leaders.Source
    • Your websiteCustomers page and case studies: Dropbox "4,000+ hours saved annually on the compensation planning process"; Xero "Turned Months of Reviews into Minutes"; SharkNinja brought "transparency, audit trails, and granular access controls" to cycles for 4,000+ employees; testimonials from Clay, Databricks and others. 14 case studies for 9,000+ companies.Source
  • 13

    Pave is building "an AI compensation analyst" and wants to "take it to market". Visitors to the Hot Jobs pages are asking exactly the questions the agent answers ("what should we pay an AI engineer in London?").

    High impactMedium effort First result in 1 quarter Senior Software Engineer

    First action

    Write sample answers for the top three hot jobs.

    How to measure it

    Agent demos from data pages

    Now
    –
    Target
    40 a quarter
    By
    2 quarters

    Steps

    1. 1

      Pick questions

      Three per top job.

      Senior Software Engineer, Agent 1 week

    2. 2

      Generate answers

      From public data, reviewed.

      Data Scientist 1 week

    3. 3

      Add to pages

      Block with CTA.

      Senior Software Frontend Engineer, Market Pricing 1 week

    4. 4

      Track

      Clicks and demos.

      Marketing Communications Lead weekly

    5. 5

      Expand

      All hot job pages.

      Senior Software Engineer, Agent 1 month

    6. 6

      Feed back

      Popular questions to product.

      Senior Software Engineer, Agent monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Senior Software Engineer, Agent

    Smallest test

    Add one example to the AI Engineer page.

    Why it works

    Add three example agent questions and answers to each hot job page, based on public data, with "Ask Pave Agent" leading to a demo or Data Lab signup. Track which questions convert.

    Showing the agent answering real questions explains it better than any description, at the moment of need.

    Risks and how to handle them

    • Answers look like advice

      Label as examples from aggregated data.

    Evidence

    • HiringSenior Software Engineer, Agent: builds "Pave's AI compensation analyst - an agentic system that sits on top of the world's largest proprietary compensation dataset", executing "market pricing, cycle planning, attrition analysis", and will "take it to market". The Market Pricing team (Senior Frontend Engineer) helps teams "price jobs in hours instead of months".Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source
  • 14

    Pave's YouTube has 65 subscribers and 35 videos; it already has customer testimonial videos linked from the homepage. Comp leaders consume short video on LinkedIn and YouTube.

    Medium impactMedium effort First result in 1 quarter Marketing Communications Lead

    First action

    Record one briefing on the Q3 index.

    How to measure it

    Monthly video views

    Now
    –
    Target
    10,000
    By
    2 quarters

    Steps

    1. 1

      Format

      Two-minute briefing.

      Marketing Communications Lead 1 week

    2. 2

      Spokesperson

      Pick and prepare.

      Marketing Communications Lead 1 week

    3. 3

      Record

      Monthly.

      Marketing Communications Lead monthly

    4. 4

      Cut clips

      Customer moments.

      Marketing Communications Lead monthly

    5. 5

      Distribute

      LinkedIn and YouTube.

      Marketing Communications Lead monthly

    6. 6

      Measure

      Views and clicks.

      Marketing Communications Lead monthly

    First result
    1 quarter
    Cost
    Production time
    Owner
    Marketing Communications Lead

    Smallest test

    Post one briefing.

    Why it works

    Publish a two-minute "this month in pay" briefing from the Hot Jobs Index and short customer clips, posted on LinkedIn and YouTube, with a link to the data page.

    Short video from proprietary data is rare in HR tech and builds a recognisable voice.

    Risks and how to handle them

    • Low early views

      Push through LinkedIn first.

    Evidence

    • Social channelsYouTube @pavecompensation: 65 subscribers, 35 videos, about 4,200 views; a Substack newsletter ("Pace"); Pave Data Lab, an "AI-powered insights community for compensation professionals".Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Your websiteCustomers page and case studies: Dropbox "4,000+ hours saved annually on the compensation planning process"; Xero "Turned Months of Reviews into Minutes"; SharkNinja brought "transparency, audit trails, and granular access controls" to cycles for 4,000+ employees; testimonials from Clay, Databricks and others. 14 case studies for 9,000+ companies.Source
  • 15

    Pave has a venture capital partner page and is backed by funds such as a16z, Index Ventures and Y Combinator. Funds want to help portfolio companies set pay; each portfolio is dozens of potential customers.

    High impactMedium effort First result in 2 quarters Enterprise Account Executive

    First action

    Offer the first briefing to one investor.

    How to measure it

    Portfolio signups

    Now
    –
    Target
    100
    By
    2 quarters

    Steps

    1. 1

      Design

      Briefing contents.

      Data Scientist 2 weeks

    2. 2

      Pitch funds

      Existing investors first.

      Enterprise Account Executive 1 month

    3. 3

      Deliver

      Webinar per fund.

      Marketing Communications Lead twice yearly

    4. 4

      Onboard

      Lite signups.

      Customer Success Engineer ongoing

    5. 5

      Upsell

      Pro offers.

      Enterprise Account Executive ongoing

    6. 6

      Measure

      Signups by fund.

      Data Scientist quarterly

    First result
    2 quarters
    Cost
    Staff time only
    Owner
    Enterprise Account Executive

    Smallest test

    Run one portfolio webinar.

    Why it works

    Offer partner funds a twice-yearly anonymised benchmark briefing for their portfolio (pay and equity by stage), delivered as a webinar, with free Market Data Lite for each company and a path to Pro.

    One fund partnership reaches many startups at the moment they hire their first comp lead.

    Risks and how to handle them

    • Data sensitivity

      Aggregate and suppress small groups.

    Evidence

    • Your websitePartner pages for compensation consultants, business alliances, technology partners and venture capital firms, plus co-branded pages for J.P. Morgan and Newfront; Market Data Lite is free for companies that "Sign-up, integrate, and go".Source
    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source

Big bets 3

Larger plays that can change the trajectory.

  • 16

    Pave sees $190+ billion in compensation spend in real time across 9,000+ companies. That is enough to publish a monthly measure of pay movement, the way payroll firms publish monthly employment reports.

    High impactHigh effort First result in 3 quarters Marketing Communications Lead

    First action

    Prototype one month's report internally.

    How to measure it

    Articles citing the report each month

    Now
    –
    Target
    20
    By
    3 quarters

    Steps

    1. 1

      Define the measures

      Four headline numbers.

      Data Scientist 1 month

    2. 2

      Methodology

      Public page.

      Data Scientist 1 month

    3. 3

      Privacy review

      Aggregation rules.

      Legal 2 weeks

    4. 4

      Pilot

      Two internal months.

      Data Scientist 2 months

    5. 5

      Launch

      With press briefings.

      Marketing Communications Lead 1 month

    6. 6

      Keep the date

      Same day each month.

      Marketing Communications Lead monthly

    First result
    3 quarters
    Cost
    Data team time
    Owner
    Marketing Communications Lead

    Smallest test

    Publish one chart of median pay change.

    Why it works

    Publish a monthly report on a fixed date: median pay change, new-hire premiums, hot roles and equity trends, with a methodology page and a press briefing. Make it the anchor of the newsroom.

    A dated, recurring number becomes a reference that press and analysts cite every month.

    Risks and how to handle them

    • A bad month for headlines

      Publish regardless; consistency builds trust.

    Evidence

    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Your websiteNo press or newsroom page: /press, /newsroom, /company/press, /media and /press-kit all return 404, and none of the 527 sitemap URLs is a press page, media kit or data request page. The Company menu has Our Purpose, Leadership, Board & Investors, Careers, Security & Privacy and Legal.Source
    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
  • 17

    Pave Data Lab is a community for compensation professionals, and Pave Agent is a paid tier. Letting members ask a few agent questions a month would put the AI analyst in front of the comp leaders who choose tools.

    High impactHigh effort First result in 3 quarters Senior Software Engineer

    First action

    Offer it to 50 Data Lab members as a pilot.

    How to measure it

    Monthly active agent users in Data Lab

    Now
    –
    Target
    1,000
    By
    3 quarters

    Steps

    1. 1

      Scope

      Data and limits.

      Senior Software Engineer, Agent 1 month

    2. 2

      Build

      Limited agent access.

      Senior Software Engineer, Agent 1 quarter

    3. 3

      Verify members

      Professional check.

      Marketing Communications Lead 2 weeks

    4. 4

      Pilot

      50 members.

      Senior Software Engineer, Agent 1 month

    5. 5

      Open

      All members.

      Senior Software Engineer, Agent 1 month

    6. 6

      Measure

      Upgrades.

      Data Scientist monthly

    First result
    3 quarters
    Cost
    Model costs
    Owner
    Senior Software Engineer, Agent

    Smallest test

    Pilot with 50 members.

    Why it works

    Give verified Data Lab members five agent questions a month over public and Lite data, with answers that show what Pro data would add. Track upgrades and the questions asked.

    Trying the agent is the fastest way to believe in it, and questions show product what to build.

    Risks and how to handle them

    • Cost of free usage

      Cap questions and cache answers.

    Evidence

    • HiringSenior Software Engineer, Agent: builds "Pave's AI compensation analyst - an agentic system that sits on top of the world's largest proprietary compensation dataset", executing "market pricing, cycle planning, attrition analysis", and will "take it to market". The Market Pricing team (Senior Frontend Engineer) helps teams "price jobs in hours instead of months".Source
    • Social channelsYouTube @pavecompensation: 65 subscribers, 35 videos, about 4,200 views; a Substack newsletter ("Pace"); Pave Data Lab, an "AI-powered insights community for compensation professionals".Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source
  • 18

    Pave's Visual Offer Letter and Total Rewards portal are seen by candidates and employees at customers such as Databricks. Those people later become managers, comp leads and founders.

    High impactMedium effort First result in 3 quarters Head of Marketing

    First action

    Ask five customers whether they would keep the mark on.

    How to measure it

    Monthly visits from powered-by links

    Now
    –
    Target
    5,000
    By
    3 quarters

    Steps

    1. 1

      Design

      Small mark and link.

      Senior Software Frontend Engineer, Market Pricing 2 weeks

    2. 2

      Customer opt-out

      Admin setting.

      Senior Software Frontend Engineer, Market Pricing 2 weeks

    3. 3

      Landing page

      For candidates and employees.

      Marketing Communications Lead 2 weeks

    4. 4

      Pilot

      Five customers.

      Account Manager 1 month

    5. 5

      Roll out

      Default on with opt-out.

      Account Manager 1 quarter

    6. 6

      Measure

      Visits and signups.

      Marketing Communications Lead monthly

    First result
    3 quarters
    Cost
    Product time
    Owner
    Head of Marketing

    Smallest test

    Pilot with one customer.

    Why it works

    Add an optional, tasteful "Powered by Pave" mark and a "How this offer was built" link to offer letters and portals, with customer opt-out. Track visits and signups from it.

    Every offer letter becomes a brand impression to the exact future buyers Pave wants.

    Risks and how to handle them

    • Customers object

      Make it opt-out and unobtrusive.

    Evidence

    • Your websiteCustomers page and case studies: Dropbox "4,000+ hours saved annually on the compensation planning process"; Xero "Turned Months of Reviews into Minutes"; SharkNinja brought "transparency, audit trails, and granular access controls" to cycles for 4,000+ employees; testimonials from Clay, Databricks and others. 14 case studies for 9,000+ companies.Source
    • HiringEvery Pave job post: "9,000+ companies"; "$190+ billion in total compensation spend is managed in our workflows"; "80% of Forbes AI 50 use Pave to benchmark compensation"; customers include OpenAI, McDonald's, Instacart, Atlassian, Stripe, Doordash, Databricks and Waymo; "$175M in funding" from a16z, Index Ventures, Y Combinator, Insight Partners and others.Source
    • Your websitePricing page: Market Data Lite is free ("free salary and equity benchmarks", 290+ job families, U.S. plus one more market); Market Data Pro adds custom peer groups, "60+ countries and 90+ metros", a Recent Hire filter and equity design data ("Request a quote"); Pave Agent tiers (Agentic Market Intelligence, Agentic Workflows) and add-ons.Source

Wildcards 2

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

  • 19

    Pave's Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Transformation Lead) is a story engine, and comp teams are the first to see new titles appear.

    Medium impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Add the form to the Emerging Jobs page.

    How to measure it

    Nominations a quarter

    Now
    –
    Target
    100
    By
    2 quarters

    Steps

    1. 1

      Build the form

      Title and description.

      Marketing Communications Lead 1 day

    2. 2

      Review

      Data check.

      Data Scientist monthly

    3. 3

      Announce

      Newsletter and LinkedIn.

      Marketing Communications Lead monthly

    4. 4

      Credit

      With permission.

      Marketing Communications Lead monthly

    5. 5

      Feed sales

      Nominators as leads.

      Sales Development Representative monthly

    6. 6

      Measure

      Nominations and signups.

      Marketing Communications Lead quarterly

    First result
    1 month
    Cost
    $0
    Owner
    Marketing Communications Lead

    Smallest test

    Ask Data Lab members for nominations.

    Why it works

    Add a "nominate a title" form, credit nominating companies (with permission), and announce new watchlist entries in the newsletter and on LinkedIn.

    Participation brings comp leaders back, and the nominations become stories.

    Risks and how to handle them

    • Low volume

      Seed with Data Lab members.

    Evidence

    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.Source
    • Social channelsYouTube @pavecompensation: 65 subscribers, 35 videos, about 4,200 views; a Substack newsletter ("Pace"); Pave Data Lab, an "AI-powered insights community for compensation professionals".Source
  • 20

    The communications lead prepares executives for media. Founders posting one data point a week on LinkedIn reach HR and Finance leaders directly.

    Medium impactLow effort First result in 1 month Marketing Communications Lead

    First action

    Draft four posts from the Q3 index.

    How to measure it

    Followers gained per quarter

    Now
    –
    Target
    +5,000
    By
    2 quarters

    Steps

    1. 1

      Pick charts

      Four a month.

      Data Scientist monthly

    2. 2

      Draft

      Short posts.

      Marketing Communications Lead weekly

    3. 3

      Approve

      CEO review.

      Co-Founder and CEO weekly

    4. 4

      Publish

      Weekly.

      Co-Founder and CEO weekly

    5. 5

      Engage

      Replies.

      Marketing Communications Lead weekly

    6. 6

      Measure

      Followers and demos.

      Marketing Communications Lead monthly

    First result
    1 month
    Cost
    $0
    Owner
    Marketing Communications Lead

    Smallest test

    Publish one post this week.

    Why it works

    Each week, take one chart from the index or the dataset, write a short post with the takeaway, and have the CEO publish it. Track followers and inbound mentions.

    A steady founder voice builds the brand faster than company pages, and it is cheap.

    Risks and how to handle them

    • Time from the CEO

      Batch approvals monthly.

    Evidence

    • HiringMarketing Communications Lead (Salt Lake City, posted October 12, 2026): owns "Pave's external communications strategy", reactive communications and executive media preparation; brand marketing with "a consistent voice, a steady cadence, and measurable impact"; public relations ("use the valuable data we have to activate stories"); thought leadership ("Pave has access to critical data on one of the most important topics in the world: compensation"); "You will own the marketing website, including its roadmap and evolution"; customer stories; and metrics "including share of voice and brand awareness". Marketing at Pave turns "real-time compensation data" into "market-moving moments".Source
    • Your websiteHot Jobs Index ("Hot & Cold Jobs in Q3 2026"): hottest are AI Engineer (97), Forward Deployed Engineering (97), Internal Audit (87); coldest are HR Generalist (-91), Marketing Generalist (-90), Strategic Business Operations (-88); a monthly summary ("Forward Deployed Engineering breaks into the top 10"; "Generalists are out, specialists are in"); an Emerging Jobs watchlist (AEO/GEO Specialist, GTM Engineer, AI Product Manager, AI Transformation Lead). In the page HTML every ranked job is numbered "01". The page has five H1s.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.

ProgrammableInfo

Turn the research into a list you can act on

These ideas start with finding the right companies. Info finds them and the right person at each, researches every one and drafts the outreach, then asks before it sends.

  • Build this list in Info for idea #5 (opens programmable.info in a new tab)

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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. Pave did not commission, review or endorse it, and Programmable is not affiliated with Pave. 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 Pave runs its business.

Something wrong, or do you represent Pave? 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

    Data page titles and answers, a newsroom with a data desk, wrong descriptions, one dataset number, hot-role outbound and embeddable charts; the nominations form.

  2. Days 31 to 6010 ideas

    Quarterly press moment, comparison pages, monthly customer stories, share of voice, Lite to Pro, implementation milestones, agent examples, video and VC portfolio briefings; the CEO data posts.

  3. Days 61 to 903 ideas

    Commit to the big bets: a monthly Pave Pay Report, a free agent for Data Lab and brand reach through offer letters.

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 real-time data instead of annual surveys. The most cited problem: spreadsheet comp cycles.

  • Merit cycles in minutes instead of months
  • Stale survey data
  • In their words: “real-time data”

Market

Competitive landscape

4 competitors compared: Payscale, Compa, Figures and Traditional salary surveys.

  • Gap to exploit: A monthly public measure of pay movement
  • Payscale: Less real-time startup data
  • Compa: Smaller dataset

Hiring signals

Pave's newest marketing hire, a Marketing Communications Lead, will own PR, brand, thought leadership from the data, customer stories, the website and share-of-voice reporting (ideas 1, 2, 3, 4, 6, 7, 9, 10, 14, 16…

  • Marketing Communications Lead: PR, brand, data stories, website, share of voice. Ideas 1, 2, 7, 9, 10.
  • Sales Development Representative: Data signals to prioritise outreach. Idea 5.
  • Enterprise Account Executive: Six-figure deals, inbound and outbound. Ideas 8, 15.

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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