DACARD.AI

Fractional product and technology leadership · Darren Card

02 / The gap
◆ THE PRE-AI OPERATING SYSTEM

Your product org was built for the pre-AI era.

Cursor codes. Claude Code ships PRs. Devin runs cycles. Your team's work has tripled. The operating system underneath it hasn't moved.

Most product organizations are still running the rituals, dashboards, and decision cadence that were designed when humans were the only workers shipping decisions. That doesn't hold for long.

03 / Why now
◆ THE WINDOW IS OPEN

AI rewrote the work. The measurement didn't.

+110%
CPTO role searches since H1 2024.
$4B
Enterprise spend on AI coding tools. 4.1x year over year.

Atlassian acquired DX. The existing coaching market is consolidating into a single dev-productivity story. The AI-native product operations gap stays open. That is the window.

04 / Positioning
◆ WHAT I OFFER

Senior product/tech judgment, without the full-time hire.

Operating at CPTO, CPO, and VP Product altitude on a fractional or contracted basis. For founders who need senior judgment compounded into the work, not consulting hours billed.

Fractional Embedded Outcomes, not hours
05 / About
◆ DARREN CARD

20+ years scaling B2B SaaS across eight verticals.

CURRENTLY
CPTO at Lexful (employee #1). Entrepreneur in Residence at Top Down Ventures. Founder of Dacard.ai.
TRACK RECORD
Zero-to-one launches. SMB-to-enterprise pivots. Category creation. Production agentic AI architecture.
COVERAGE
Eight verticals, from e-commerce to MSP. Composable commerce, martech, HR-tech, AI-native SaaS.
06 / Featured case study
◆ LEXFUL.AI

Zero to launched AI-native product in 6 months.

Employee #1 / Founding CPTO · Mission to displace a $100M+ ARR incumbent · SOC2 at launch · $3M pre-seed · Launched Feb 2026
0-to-1 Product
Built the product and technical architecture around conversational search and LLM/RAG-powered knowledge retrieval. AI at the core, not bolted on.
Team Building
Hired and built the product and engineering team from zero. Stood up an AI-assisted operations workflow across coding, QA, and support.
Security at Launch
SOC 2 compliance achieved at launch. Zero-trust security architecture with AES-256 at rest, TLS 1.3 in transit, comprehensive audit logging.
Capital & GTM
Supported the $3M pre-seed raise. Launched with paying customers on day one, validating product-market fit against five incumbent platforms.
07 / Track record
◆ BUILDING, NOT READING ABOUT IT

Product and engineering leadership at every stage.

From employee #1 at a pre-seed startup to post-Series B scale-ups, across eight verticals.

VP PRODUCT & TECHNOLOGY
Cognota
Pioneered the LearnOps category. Led the SMB-to-enterprise pivot. Co-led a $5.5M Series A raise. Brought in EY, Synchrony Financial, Delta Airlines.
DIRECTOR, PRODUCT
Elastic Path
Led product strategy post-$43M Series B. Drove composable commerce positioning. Developer-platform-as-product. MACH Alliance.
DIRECTOR, PRODUCT
Allocadia
Scaled ARR from $5M to $20M. Launched product modules, API integrations, enterprise upsell motion. RBC, Charles Schwab as customers.
OPERATING PARTNER
Top Down Ventures
Investment evaluation, due diligence, and portfolio advisory across B2B SaaS. Currently Entrepreneur in Residence.
08 / Industries
◆ EIGHT VERTICALS

Eight verticals. Same operating principles.

Product operations is the same problem in different costumes. Eight verticals worth of pattern recognition.

E-Commerce
MarTech
Learning / HR Tech
Enterprise Events
Market Research
IT Services / MSP
AI / ML
SaaS Infrastructure
09 / Enterprise arc
◆ ENTERPRISE CUSTOMERS

Enterprise customers from a 20+ year product career.

Sales funnel support, product research and feedback, customer success, design and advisory partnerships.

EY
Microsoft
Visa
Deloitte
Target
Red Hat
Delta Airlines
Synchrony
Box
reMarkable
Intel
ESPN

Shown for context only. These organizations are not current clients.

10 / Philosophy
◆ HOW I THINK ABOUT THE WORK

The product operating system has to be redesigned, not retrofitted.

Most product orgs are patching AI on top of processes designed for the pre-AI era. The redesign needs three principles.

01
Monitor what matters.
Decision quality, time-to-decision, and the gap between customer signal and customer outcome. Not velocity, not story points, not shipping cadence.
02
Optimize where AI handles execution.
Research synthesis, requirements drafting, status reporting, signal aggregation, competitive monitoring. Pattern-matchable work belongs to agents on a defined schedule.
03
Concentrate human work on judgment that compounds.
Customer conversations, hard tradeoffs, strategic bets under uncertainty, team coaching, performance feedback. Where senior product judgment scales.
11 / Engagements
◆ FOUR WAYS TO ENGAGE

Engagement shaped to the situation.

Rate discussed openly in the discovery conversation. No qualifying gates, no pitch deck round.

12 / What you get
◆ OUTCOMES

Operator judgment, on cadence with how AI is rewriting the work.

Diagnosis grounded in your real signal stack.
Not a deck. A read of your team operations, your build pipeline, and your shipping reality, with the gaps named.
An operating system designed for your stage.
AI-native by default. Calibrated to your headcount, signal coverage, and where the agentic leverage is highest.
A sparring partner who keeps up.
Weekly model updates, new agents, shifting category boundaries. The take stays current, not quarterly.
13 / Pricing posture
◆ HOW I DON'T SELL

Transparent on the first call. No pitch deck round.

Engagement structure shaped to the situation. Sometimes combined with a Dacard.ai implementation, often not. Rate discussed openly in the discovery conversation, not over a sequence of qualifying gates.

Outcomes, not hours.
Shaped to your stage.
No deck round.
14 / Get in touch
◆ AVAILABLE

Available for fractional roles and contracted missions.

0-to-1 builds. AI transformations. Due-diligence engagements. Fractional CPTO seats. Sometimes combined with a Dacard.ai implementation. Often not.

Calendly · calendly.com/darren-darrencard/30min · dacard.ai/consulting