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Corp Dev Director · persona overview
How a Corp Dev director prepared a 30-minute sector strategy review for a Fortune 100 board, using engineering-signal data to ground forward-looking M&A recommendations.
A Corp Dev director at a Fortune 100 enterprise SaaS company had been asked to present a 30-minute quarterly sector strategy review to the board. The board wanted forward-looking M&A recommendations (which sectors and stages to focus the company's $3B M&A capacity on over the next 12 months) grounded in defensible market data. Traditional banker decks did not provide engineering-organization context.
Started at /sector to scan all 10 tracked sectors. Identified the 3 with strongest engineering acceleration over the trailing 6 months (AI infra, agentic AI frameworks, developer tools).
Used /year-in-review/2026 and /year-in-review/2025 to position the sector dynamics in their historical context. Pulled quotable framing for the board narrative.
For the top 3 sectors, used /trend/[slug] pages to identify the 5-10 most-tracked companies in each category. Read the why-it-matters and what-to-watch editorials.
Used /acquirer/[competitor] pages (Salesforce, ServiceNow, IBM, Cisco) to benchmark the company's likely M&A pace against industry peers. Surfaced cases where peers had moved aggressively in sectors the company had not yet entered.
Built a 12-slide deck. Engineering-signal data appeared as the objective layer underneath the strategic narrative. Recommended focusing $1.8B of the $3B M&A capacity on AI infrastructure and agentic AI frameworks over the next 12 months.
The board approved the recommended M&A capacity allocation. Within 6 months, the company closed 2 acquisitions in AI infrastructure and 1 in agentic AI — all 3 targets were identified through the engineering-signal-grounded scanning process. The Corp Dev director was asked to present the methodology at the next annual strategy offsite.
No. This is an illustrative composite of workflows we observe in onboarding and demo conversations. Names, specific deals, and identifying details are omitted by design. The structure of the workflow (what URLs the persona uses, what questions they ask, what action they take) is representative.
Corp Dev Director. For the full persona-specific overview, see /for/corp-dev.
Scan all tracked sectors at /sector, contextualize with /year-in-review, deep-dive the top sectors' /trend leaderboards, and benchmark M&A pace against peers via /acquirer/[competitor] pages before forming a forward-looking recommendation.
The recommended allocation of $1.8B of $3B M&A capacity toward AI infrastructure and agentic AI over 12 months. Within 6 months the company closed 3 acquisitions, all surfaced through the signal-grounded scanning process.
It is independently sourced and publicly verifiable, so it translates cleanly to non-engineer executives and directors. /year-in-review and /trend pages supply the editorial context that grounds capacity-allocation arguments.
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The free Acceleration Watch runs on the same engineering signal these workflows use — five breakout teams every Sunday, in plain English, no code-reading. Onboarding to any paid tier includes a guided walkthrough of the workflow that matches your role.