From 00dbbd13744d6b0f0d8d2265bbb73c492b2e8029 Mon Sep 17 00:00:00 2001 From: Claude Date: Wed, 2 Sep 2026 00:24:57 +0000 Subject: [PATCH] Five page notes: promotion out, fuller business framing MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Dylan's notes, applied across cards, bullets, and facts: - "Promoted 2023" removed everywhere — resume note, site timeline note, and the current-role fact. It aged out. - Card titles Title-Cased on both lenses. - The Forecast reframed as he tells it: "Established the cadence the business plans on and built the numbers behind it." - The Attribution Model in business terms: the number behind compensation, investment, and executive reporting. - Incentives widen from new-logo alone to programs tied to new consumption AND new-logo acquisition (his words), across the card, the unified resume bullet, and the incentive fact — the "new-logo" pin substring survives. - Rules of Engagement widen to how the field and sales teams engage with partners, driving more partnerships, with the lead-flow proof kept. Suites: 59/59 retrieval, 16/16 chat client, 26/26 worker, 2/2 PDFs one page. Grep confirms zero "promoted" matches in the built page. Co-Authored-By: Claude Fable 5 Claude-Session: https://claude.ai/code/session_01CBW7pSmhz88EE4gVmUdEVo --- content.py | 50 +++++++++++++------------ docs/index.html | 6 +-- docs/llms.txt | 6 +-- docs/resume.json | 28 +++++++------- docs/resumes/dylan-ram--editorial.pdf | Bin 225103 -> 223604 bytes docs/resumes/dylan-ram--modern.pdf | Bin 220821 -> 219338 bytes resume/output/dylan-ram--editorial.pdf | Bin 225103 -> 223604 bytes resume/output/dylan-ram--modern.pdf | Bin 220821 -> 219338 bytes site_qa.py | 12 +++--- worker/corpus.js | 2 +- 10 files changed, 54 insertions(+), 50 deletions(-) diff --git a/content.py b/content.py index 4a26097..bb7dc7e 100644 --- a/content.py +++ b/content.py @@ -138,10 +138,10 @@ { "company": "Databricks", "role": "Partner Strategy & Ops Manager", - "resume_note": "promoted Feb 2023 · first Partner S&O hire", + "resume_note": "first Partner S&O hire", "dates": "Aug 2021 – Present", "site_when": "2021 — now", - "site_note": "first Partner S&O hire · promoted 2023", + "site_note": "first Partner S&O hire", "site_desc": ( "Built the data-and-AI foundation and the forecast, attribution, and incentive " "systems the partner business runs on; deployed the team's first LLM agents; " @@ -154,10 +154,12 @@ "years later.", "Designed the canonical partner attribution model — the single source of " "truth for how revenue is credited across both sides of the marketplace.", - "Launched the partner org's incentive program tied to new-logo " - "acquisition — crediting and payout logic end to end, still in force.", - "Unblocked the partner channel as a revenue source: diagnosed stalling " - "leads, wrote the rules of engagement, lead flow in days instead of weeks.", + "Launched the partner org's incentive programs tied to new consumption " + "and new-logo acquisition — crediting and payout logic end to end, still " + "in force.", + "Wrote the partner rules of engagement for the field and sales teams — " + "unblocking the channel, driving more partnerships, lead flow in days " + "instead of weeks.", "Led annual planning across Sales, Finance, and Partner leadership: " "quota-setting, headcount, and coverage, top-down and bottoms-up — and " "wrote the investment cases presented to senior GTM leadership.", @@ -192,8 +194,9 @@ "Launched the partner org's incentive program tied to new-logo " "acquisition — crediting and payout logic designed end to end, still " "in force today.", - "Unblocked the partner channel as a revenue source: diagnosed stalling " - "leads, wrote the rules of engagement, lead flow in days instead of weeks.", + "Wrote the partner rules of engagement for the field and sales teams — " + "unblocking the channel, driving more partnerships, lead flow in days " + "instead of weeks.", "Led annual planning across Sales, Finance, and Partner leadership: " "quota-setting, headcount, and coverage design, top-down and bottoms-up.", "Wrote the investment cases behind new programs and presented them to " @@ -280,31 +283,32 @@ # --------------------------------------------------------------------------- PROGRAMS = [ - ("The forecast", - "Gave the partner business a number it could plan against. Still the number the " - "org runs on today."), - ("The attribution model", - "Settled how partner revenue gets counted: one standard the whole marketplace " - "aligns to, still in force."), - ("The new-logo incentive", - "Turned partner incentives into a growth lever for new business. Still running."), - ("The rules of engagement", - "Unblocked the partner channel as a revenue source: lead flow that moves in days, " - "not weeks."), + ("The Forecast", + "Established the cadence the business plans on and built the numbers behind it. " + "Still the operating rhythm today."), + ("The Attribution Model", + "The single standard for how partner revenue is counted and credited — the " + "number behind compensation, investment, and executive reporting."), + ("The Incentive Programs", + "Turned partner incentives into growth levers: programs tied to new consumption " + "and new-logo acquisition, still in force."), + ("The Rules of Engagement", + "Wrote how the field and sales teams engage with partners — unblocking the " + "channel and driving more partnerships, with lead flow in days instead of weeks."), ] # Signature work through the AI lens — same record, the building side of it. PROGRAMS_AI = [ - ("The production agents", + ("The Production Agents", "Put partner reporting on autopilot: agents that keep the org current without " "anyone pulling a report."), - ("The recommendation layer", + ("The Recommendation Layer", "Points sellers to the right partner for the deal in front of them, in plain " "language."), - ("The governed data layer", + ("The Governed Data Layer", "Made the data worth building on: one foundation, shaped with stakeholders, " "that every agent and insight runs from."), - ("The crediting engine", + ("The Crediting Engine", "The discipline, demonstrated from scratch: AI authors the rules, tested code " "owns every dollar."), ] diff --git a/docs/index.html b/docs/index.html index 474065e..877ec36 100644 --- a/docs/index.html +++ b/docs/index.html @@ -218,13 +218,13 @@

Signature work

and run across a two-sided marketplace: the partner team, the sellers who co-sell through partners, and the partners themselves.

-

The forecast

Gave the partner business a number it could plan against. Still the number the org runs on today.

The attribution model

Settled how partner revenue gets counted: one standard the whole marketplace aligns to, still in force.

The new-logo incentive

Turned partner incentives into a growth lever for new business. Still running.

The rules of engagement

Unblocked the partner channel as a revenue source: lead flow that moves in days, not weeks.

+

The Forecast

Established the cadence the business plans on and built the numbers behind it. Still the operating rhythm today.

The Attribution Model

The single standard for how partner revenue is counted and credited — the number behind compensation, investment, and executive reporting.

The Incentive Programs

Turned partner incentives into growth levers: programs tied to new consumption and new-logo acquisition, still in force.

The Rules of Engagement

Wrote how the field and sales teams engage with partners — unblocking the channel and driving more partnerships, with lead flow in days instead of weeks.

Territory designZero-to-one builds Strategic initiativesAnnual & headcount planning Executive partnershipLeadership presentations