Fintech product leader

I make products earn their keep.

↳ growth, pricing per seat token, and the plumbing behind it

I build the systems that turn products into revenue. Self-serve growth, quote-to-cash, licensing and identity. The unglamorous parts that decide whether a SaaS business scales.

See my work → Get in touch
Portrait of Smita smiling in a navy sweater against an orange wall hi, that's me
open for fractional work

↑ currently building at HubSpot

$14M+MRR running through approval flows I led
65%+self-serve ARR growth at Nitro
2M+users on the platform I helped rebuild

Where I work

the whole money path, basically
visitor→ trial→ paid→ usage meterednew!→ accounts and licenses→ sales quote→ approvals→ signed

GrowthGetting people from first visit to paying, without a sales call.

PlatformMaking sure every paying user gets the right access, seats and plan.

Usage billingMeasuring what AI products really cost to run, and billing for it fairly.

Quote-to-cashGetting deals approved and signed faster, and in compliance.

Selected work

3 projects I'm proud of
HubSpotQuote-to-cash

Faster contracts at scale

Problem
Legal approvals inside CPQ slowed deals down and created compliance risk.
What I did
Led the legal approval flows for systems handling over $14M in MRR.

Result

40% faster

time to contract, with a stronger compliance posture

NitroGrowth

Self-serve that scales

Problem
Revenue needed to grow without proportional sales headcount.
What I did
Led growth for the self-serve business, from acquisition to conversion.

Result

65%+ ARR

in self-serve revenue

NitroPlatform

Foundations for 2M users

Problem
Identity, licensing and subscriptions were hard to scale and hard to change.
What I did
Led platform work across IAM, licensing, provisioning and subscription management.

same muscles, now on usage billing ↘

Result

2M+ users

supported on one streamlined platform

What I'm thinking about

AI is changing how software gets paid for
  • Seats, credits or usage? Which fits an AI feature
  • Keeping margins healthy when every request costs money
  • Metering customers can trust
  • Invoices that make sense to finance
  • Payments and revenue recognition for usage plans

turns out licensing was great training for this

Seat pricing made sense when software cost the same to serve every user. AI broke that. Now every prompt has a real cost, and pricing has to follow it.

I've spent years on the systems underneath pricing. Subscriptions, licensing, quotes and approvals. Usage-based billing for AI products is where I'm putting that experience next.

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What I'm good at

and what I reach for
  • Taking a fuzzy idea to a launched product
  • Finding product-market fit with fast research and prototypes
  • Finding the revenue lever nobody owns
  • Turning messy systems into simple ones
  • Shipping in regulated, high-stakes spaces
  • Getting legal, sales, finance and eng in the same room
  • Using AI to ship faster and smarter

Toolbox

0 to 1 Product-market fit User research Prototyping Product-led growth Pricing and packaging CPQ Quote-to-cash Experimentation IAM Licensing Subscriptions Usage-based billing Metering Credits Payments AI monetization Compliance AI workflows B2B SaaS Fintech

Experience

HubSpot

Senior Product Manager, Legal ExperienceQuote-to-cash and legal approval flows in CPQ. Systems handling over $14M in MRR.

20XX to now
Nitro

Product, GrowthLed self-serve growth across acquisition, activation and conversion.

20XX to 20XX
Nitro

Product, PlatformIAM, licensing, provisioning and subscription management for over 2M users.

20XX to 20XX

want the one-page version?

Resume on request →

Fractional and advisory

Need a hands-on PM for a season?

I take on fractional and advisory work with early and growth-stage teams. I can help you go from zero to one, then scale from one to 100. My sharpest edge is growth, pricing and billing, including for AI products.

taking on fractional engagements now

Zero to one

  • Build and launch a new productFrom idea to first paying users
  • Find product-market fitRapid user research and prototypes to test what sticks

One to 100

  • Growth teardownWhere your funnel leaks and what to fix first
  • Pricing and monetizationPackaging, the path to paid, and AI pricing models
  • Revenue stack auditQuotes, approvals, licensing and billing

Say hi

Let's talk products
and the money they make.

Email me → LinkedIn ↗ Substack ↗