April Dawn, PhD — Product & Portfolio Leader

01 / Brief

I lead products with a P&L lens. The work is to make a portfolio durable — not just to ship features, but to compound revenue, retain customers, and open the next market before the current one slows.

My career has been a steady climb through the same kind of problem at growing scale: take a product or portfolio that should be growing faster, find the structural reason it isn’t, and rebuild around it. From one flagship product to a multi-product portfolio. From IC to Director to Senior Director with full P&L. From renewing existing customers to opening new countries, new commercial models, and new addressable markets.

I’m an academic by training (PhD, former professor) and an operator by practice. That mix shows up as comfort with ambiguous data, technical product domains, and stakeholders who want both rigor and speed. I’ve run product through a global pandemic, a post-acquisition integration, a contracting enterprise market, and the GenAI transition — and grown the business through each.

Earlier · 2008–2019 Multi-industry product & analytics across crisis software (Everbridge), accessibility data (Deque), and academic research. PhD researcher and university faculty before product. Full history on LinkedIn →

02 / Portfolio shape

One asset, five commercial models, one P&L.

The most durable portfolios are organized around a core content or data asset with multiple commercial layers stacked on top — each layer reaching a different buyer, at a different price point, on a different cadence. The portfolio I led was structured this way: workflow tools and partnerships fed the asset; subscription, e-commerce, and bulk services took it to market. Strengthening any inflow strengthened every outflow.

Workflow &
analytics

Tools that acquire the content moat.

Premium workflow software for the upstream supply chain — submission, review, archiving, and impact analytics for contributing partners. Both a product and a content-acquisition channel.

Inflow channel

B2B SaaS
subscription

Recurring ARR on the flagship.

The central commercial hub: subscription database licensed to enterprise customers, with a citation/index uplift distributed via partner platforms and a GenAI research layer that opens new buyer segments.

$33.0M ARR · 72% of total

B2C
e-commerce

Self-serve storefront, PLG motion.

Direct-to-consumer purchase of derived content products. Print-on-demand and commemorative purchases reach a buyer the enterprise channel can’t economically serve. Built one storefront 0→1 to $1M run-rate.

$7.5M · +12% portfolio-wide

B2B 1×
services

Bulk delivery, custom data, API.

Transactional and licensable use of the same content asset: bulk PDF delivery to large institutions, custom data extracts, API access for downstream analytics. Higher contract value, longer sales cycle.

$5.3M · in transition to ARR

Strategic
partnerships

Sovereign markets, content inflows.

Country- and segment-level partnerships that both expand the content moat and unlock markets the standard commercial model can’t reach — including a $143M+ TAM in a sovereign market.

Moat & TAM expansion

Content flow → Workflow tools and strategic partnerships acquire content into the central asset. Subscription, e-commerce, and bulk services monetize it across five distinct buyer types and pricing models. Each layer is a different commercial mechanic with its own metrics — ARR retention and price uplift on the hub, conversion and AOV on B2C, contract value and cycle length on B2B 1×.

03 / Before & After

The portfolio I inherited — and the portfolio I handed over.

Three years of P&L ownership on a global B2B SaaS portfolio, told as a single arc. Inherited a $39M portfolio with a $5M unprofitable services line dragging margin and forecast quality. Delivered $45.8M with 70%+ EBITDA — after sunsetting the unprofitable services line, during an enterprise SaaS market contraction, on a continuing portfolio that grew at 2× the BU’s blended rate.

Senior Director, Product Management · 2023–2026

Inherited · 2023

~$39M

Delivered · 2026

$45.8M

+$6.8M · +17% / 3-year arc

Margin

70%+ EBITDA — best-in-portfolio (BU baseline 37%)

70%+ EBITDA maintained through rationalization, contraction & reinvestment

Pricing power

Undifferentiated commercial posture on the installed base — renewal pricing held flat in prior cycles

$29M ARR base at 100%+ effective renewal with +3.6% price uplift — held through a contracting market because GenAI investment repositioned the product as must-have, not nice-to-have

B2C channel

Single storefront, no PLG motion — declining

+12% B2C revenue — new storefront ($720K in 8 mo., $1M run-rate) and PLG activated on the existing channel

APAC commercial model

$4.8M transactional 1× POD line in APAC — declining ~8% YoY, no recurring component, no growth path

$4.8M ACV protected and repositioned — restructured the POD business from 1× transactional to recurring ARR, arresting the −8% decline and putting the line on a growth path. Same dollars, durable revenue.

GenAI

Not in market — no AI-driven retention motion, no AI-driven expansion motion

One GenAI investment, two commercial levers: retention & price uplift on the $29M base (above), plus $7M pipeline in market-expansion segments the portfolio couldn’t previously reach

Market expansion · sovereign

~$600K in business — effectively no presence in a sovereign market with massive structural demand

$143M+ of TAM unlocked via a sovereign-market reseller deal — partnership delivered a local sales force, distribution, and access to 150+ institutions, 14,000+ potential customers our commercial team couldn’t reach directly. Not a translation play; a market-access play.

Partnerships

US-saturated content acquisition — year-over-year growth stalling in a market with no remaining adjacencies to mine

International content moat — 450K+ records across 12+ countries, 126+ partners. Unlocked $25M EMEA pipeline and a defensible coverage claim no competitor can match without rebuilding it.

+$2.1M

YoY portfolio growth on continuing portfolio — +4.9% (2× BU average)

+4.2%

ARR delivered over plan — through enterprise market contraction

70%+

EBITDA maintained — against a BU baseline of 37%

100%

Effective renewal on $29M ARR — with +3.6% price uplift

A note on the numbers. Final portfolio composition ($45.8M) reflects end-of-tenure scale to the best of my recollection. The inherited 2023 portfolio size (~$39M) is an estimate based on personal recall and the disclosed YoY growth rates — I no longer have access to the underlying data. Percentage figures, renewal rates, partnership counts, content acquisition metrics, and YoY growth rates are pulled from my own records and performance reviews.

04 / Selected work

Six moves that compounded into a durable portfolio.

01 · Pricing power/Renewals · must-have positioning

Held a $29M ARR base at 100%+ effective renewal — with +3.6% price uplift through market contraction.

Most BUs were defending share. We took a price uplift — +40 bps above BU average — on the installed base while contraction-era budgets were being cut around us. The lever was positioning: the flagship was renewed as mission-critical research infrastructure, not a discretionary line item.

The judgment In a contraction, what survives the budget review is what customers can’t do their job without. Get the positioning right and the renewal — and the price uplift — follow.

$29M ARR protected · 100%+ effective renewal · +3.6% price uplift (+40 bps vs. BU) · +$2.5M citation-index price realization

02 · Channel creation/B2C +12% · PLG · APAC restructuring

Expanded B2C revenue +12% — new storefront plus PLG on the existing channel — and converted APAC to recurring ARR.

Two channels stood up in parallel. B2C: the brand was capturing institutional wallet but not individual wallet. Acquired a domain, built a new storefront, activated PLG on the existing one. APAC: a transactional market restructured into recurring ARR — $4.8M ACV growth.

The judgment The asset existed; the channel didn’t. New channels are usually a packaging problem dressed up as a product problem.

+12% B2C growth · $720K new storefront in 8 months ($1M run-rate) · $4.8M APAC ACV (1× → ARR) · PLG activated

Lead move · AI playbook

03 · GenAI as market expansion/$7M pipeline · new segments

Used GenAI to open new market segments — $7M pipeline created in buyers the portfolio couldn’t previously reach.

The GenAI capability wasn’t framed as a price-uplift lever — it was framed as a market-expansion lever. The technology delivered workflow compression that opened buyer profiles previously priced or positioned out of the portfolio. Validated PMF on the flagship; mapped segment-specific willingness-to-pay to buyer JTBD.

The judgment The right question on AI isn’t “can we charge more for it.” It’s “who couldn’t buy us before that can now.” That’s where the compounding sits.

$7M pipeline opened in new segments · PMF validated on flagship · segment-specific JTBD · net-new buyers, not bigger contracts

04 · Partnerships as moat/200% supply-chain scale

Doubled the supply chain — 126+ new partners, 12+ countries — turning content acquisition into the moat.

Content acquisition was a KPI before I built it — not a function. Stood it up: 200% supply-chain scale, 450K+ records (54% international), 12 top-ranked universities through novel acquisition strategies. The proprietary content base is the moat — and it set up the cross-platform integration that delivered $25M of EMEA pipeline on a different product.

The judgment The moat in data products is the rights, not the software. Partnerships are how you widen it faster than competitors can copy — and how you compound it across acquired customer bases.

200% supply-chain scale · 450K+ records (54% international) · 126+ new partners · +$25M EMEA pipeline via cross-platform cross-sell

05 · Sovereign-market access/$143M+ TAM · reseller deal

Unlocked $143M+ of new TAM in a sovereign market — through a reseller partnership, not a product launch.

The market wasn’t a translation problem and the commercial team couldn’t reach it directly. The reseller partnership delivered local sales force, distribution, and institutional relationships we didn’t have — reaching 150+ institutions and 14,000+ potential customers, plus 300K acquired content assets. From there, mapped $25M of non-US ARR whitespace beyond.

The judgment In regulated markets, you don’t out-build access — you partner for it. Get the structure right and the product follows.

$143M+ sovereign-market TAM unlocked · 150+ institutions in pipeline · 300K content assets acquired · $25M non-US ARR whitespace mapped

06 · The kill decision/Portfolio rationalization · EBITDA discipline

Sunset $5M of unprofitable services — replaced by recurring revenue, with portfolio growth on top.

A legacy services line peaked at ~$5M. Project-based, unprofitable, unforecastable. Cut it, end of 2024. Replaced with higher-margin recurring streams: B2B ARR growth, citation-index price realization, B2C expansion, APAC ARR conversion. EBITDA roughly doubled. The continuing portfolio grew on top.

The judgment The portfolio was carrying revenue that wasn’t worth the volatility. Cutting it was unpopular and correct.

~$5M unprofitable services sunset · 70%+ EBITDA (vs. 37% BU baseline) · +$2.1M YoY portfolio growth (+4.9%, 2× BU) · +4.2% ARR over plan

05 / How I lead

Six operating principles that show up in everything I run.

Lead with P&L, not roadmap.

The product strategy is downstream of the financial strategy. I start with where the dollars need to come from in 18 months, work backward to the commercial model, and only then decide what to build. Roadmaps that don’t map to a revenue line are theater.

ii.

Sunset before you scale.

The hardest call in product is what to stop doing. I’ve killed lines that still generated revenue because the math was wrong, then redeployed the team into something that compounded. Healthy portfolios shrink as well as grow.

iii.

Renewal is a growth motion.

Most companies treat renewal as defense and net-new as offense. I treat them as the same motion at different time horizons: the customer who renews at +3.6% this year is the customer who buys the second product next year. Retention is where compounding starts.

iv.

Cross-functional by default.

My direct reports are six people; my operating team is closer to thirty across Content Ops, Customer Success, Support, Engineering, and UX. I run a small core group with deep dotted-line reach — faster than building the empire, more durable than borrowing capacity.

Data before conviction.

Academic training kicks in here: the strongest opinion in the room is the one with the cleanest evidence behind it. I push for instrumentation early, treat customer conversations as research not validation, and change my mind in public when the data warrants it.

vi.

Technology as leverage, both directions.

The most useful technology is the kind that compounds. Outward: AI and platform plays that open buyer segments the standard commercial motion can’t reach. Inward: the same instinct turned on the operating model — compressing decision cycles, automating reporting, killing the meetings that should have been a dashboard. I run small things with the tools personally — this site, two recent prototypes on GitHub → — not as craft, as currency. Leaders reasoning about AI from the outside age fast.

The job is to leave the portfolio in a better structural position than I found it — more recurring, more global, more defensible — not to leave it bigger by Q4. — Operating note, 2025

Building durable growth in B2B SaaS — from flagship products to global portfolios.