Aurics.AI

Marketing & GTM Leadership

Introduction

Raina Srivastava is a senior Marketing and Go-to-Market (GTM) leader with a foundation in Product Marketing and leadership across Growth, Brand, Customer and Partner Marketing.

She brings complex and emerging technologies to market and builds repeatable growth systems across B2B, B2C, SMB, and enterprise businesses in payments, fintech, SaaS, and AI.

Segments
Enterprise · B2B · B2C · SMB
Industries
AI · Fintech · Payments · SaaS · eCommerce · Marketplaces
Company Scale
Fortune 500s · Series C+ Scaleups · Early-Stage Startups
Models
SLG (Sales-Led Growth) · PLG (Product-Led Growth)
Functional Breadth
I combine Product Marketing depth, broad growth and commercial leadership across Customer, Partner, Content and Brand Marketing.
0 to 1 & Pivots
My hands-on operating experience has been to turn 0 to 1 market opportunities or company pivots into adoption and scale.
AI Operating Model
AI expands how I research, build, execute, and learn.
Years in Marketing & GTM
15+
Products and Platforms
20+
Revenue as Founding Marketer
$2B+
Users Reached
85M+
What I Do

Strategy + Systems + Ship

Marketing and GTM that goes the distance starts at the foundation and aligns across company narrative, marketing approach, chosen operating model, and cross-functional alignment.

I work at that layer by building and executing commercialization strategies for products, platforms, regions, and segments to drive user adoption and business outcomes.

Product & Platform Commercialization

Turn complex products and platforms into launch strategy, proof, enablement, demand, and adoption.

Product Marketing & GTM

Growth, Lifecycle & Demand

Connect acquisition, lifecycle, and demand architecture to commercial outcomes rather than isolated channel metrics.

Growth & Demand

Brand Strategy & Market Narrative

Build coherent brand systems across positioning, voice, visual identity, and AI-mediated discovery.

Brand, Content & Digital

Customer & Partner Marketing

Turn customer insight, proof, advocacy, and partner enablement into repeatable commercial motions.

Customer & Partner Marketing

AI-Native GTM Operating Models

Redesign GTM around AI across research, segmentation, messaging, experimentation, and workflow automation.

AI-First GTM & Marketing

GTM Decision Systems

Turn high-stakes GTM choices into explicit criteria, weighted decisions, and repeatable operating models.

GTM Decision Engine
Selected Work

Commercial Decisions and Delivered Work

Selected examples of commercialization, growth, and the operating systems behind them.

Commercial Work

AI SYSTEMS AND TOOLS

Growth Strategy & Decisions

How I diagnose growth constraints, choose where to invest, and connect marketing decisions to commercial outcomes.

See the full list below

Featured

Growth Series #4

Commercializing the First 90 Days of Marketing

Diagnose the commercial constraint, prove the bet, then grow what works. A 30-60-90 plan built around decision gates, with AI accelerating signal synthesis and experimentation.

Commercial 30-60-90 diagram: diagnose the bet at 30 days, prove it at 60, and grow the winning bet at 90, supported by commercial-engine, growth-option, prioritization, and intervention diagnostics.
Growth Series #5

How Would You Allocate $5M in Marketing?

Start with what the business needs to prove, not a channel split. Release investment in evidence-gated stages, then scale, hold, modify, stop, or reallocate as the economics become clear.

Marketing budget allocation diagram: identify acquisition, penetration, attach, or expansion opportunities; test the bet; release investment through an evidence gate and learn or reallocate.
Growth Series #7

When Brand and Product Marketing Drift Apart, Growth Slows

Keep one recognizable company promise while product and vertical stories adapt to buyers. A brand-coherence and buyer-relevance matrix catches messaging that is relevant but fragmented before it ships.

Brand coherence versus buyer relevance matrix, with four quadrants: noise, consistent but generic, relevant but fragmented, and coherent plus relevant under one company promise.
FAQ

Common Questions

What is Aurics.AI?

Aurics.AI is the portfolio and studio of Raina Srivastava, a senior Marketing and GTM leader. It brings together commercial case studies, published thinking, and inspectable tools that support how she brings complex technology to market and builds repeatable growth systems.

Who founded Aurics.AI?

Raina Srivastava, a senior Marketing and GTM leader with 15+ years of commercializing products across AI, SaaS, Payments, and Marketplaces at Fortune 500 enterprises, scaleups, and startups.

What does Aurics.AI build?

Aurics.AI combines senior Marketing and GTM strategy with hands-on execution across product commercialization, positioning, growth, customer and partner marketing, and AI-enabled operating systems. The website also showcases Raina Srivastava's commercial leadership experience, case studies, published work, and open-source GTM tools.

How does Raina engage with companies?

Engagements center on senior commercial marketing leadership: full-time executive roles, strategic advisory, 0-to-1 product commercialization, and rebuilding marketing and GTM operations for AI-native workflows.

What makes an AI-native GTM operating model different from using AI tools?

Adding AI tools speeds up existing tasks; an AI-native operating model redesigns the underlying workflow - parallelizing research, enforcing governed customer proof, generating omnichannel assets from a single narrative source, and reserving human judgment for high-stakes decisions.