Veena Pandian · Revenue Operations Specialist · Certified Clay Creator
AI-Driven GTMe · Signal & Trigger Based
Hyper-Personalised · Sharp Targeting · Zero Spray
Stack: Clay · Apollo · Sales Navigator
Instantly · Lemlist · HubSpot · Salesforce
I'm Veena Pandian, a freelance Revenue Operations Specialist and Certified Clay Creator specialising in AI-driven Go-to-Market Execution — signal-based targeting, AI-enriched prospecting, and hyper-personalised outreach that reaches only the leads that actually matter.
No spray-and-pray. Every lead is selected because of a real buying signal. Every message is built around that signal. The result: ~40 meetings booked per week at a 35% positive reply rate across five B2B SaaS clients.
Most outbound is guesswork — big lists, generic messages, low reply rates. My approach is the opposite: AI identifies who is already showing buying signals, enriches every lead with live context, and generates a message built around their specific situation. The result is hyper-relevant outreach that feels less like cold email and more like a perfectly timed conversation.
AI monitors live signals that indicate a prospect is in-market right now: new funding rounds, leadership hires, job postings (e.g. "SDR Manager" = building sales team), product launches, company expansions, tech stack changes, and earnings calls. These signals replace guesswork with evidence.
Layer third-party intent signals on top — accounts actively researching competitor products, visiting relevant content, or engaging with topics tied to the product category. This surfaces accounts who are already in a buying conversation, just not yet with us.
Not all signals are equal. AI scores and ranks accounts by signal strength and recency — so the highest-priority outreach always goes to accounts with the freshest, strongest buying triggers. No wasted touches on cold accounts.
As a Certified Clay Creator, I build enrichment waterfalls that pull live data from 75+ sources simultaneously — company news, LinkedIn activity, tech stack, headcount growth, recent posts, job listings, and more — all without manual research. Each lead arrives fully loaded.
AI agents browse company websites, parse recent press releases, scan LinkedIn profiles, and summarise relevant context for each prospect automatically. What would take an SDR 45 minutes per lead is done in seconds — and done for every lead at scale.
AI scores each enriched lead against the ideal customer profile — firmographic fit, persona match, tech stack alignment, and signal strength. Only leads that clear the threshold enter sequences. The list stays small, sharp, and high-quality.
Every outreach message opens by referencing the specific trigger that flagged this prospect — a funding round, a new hire, a job post, a LinkedIn comment. This proves the message was written for them, not blasted at a list. Reply rates jump because it feels relevant, not robotic.
Using enriched context and the trigger signal, AI drafts personalised first lines and value propositions for each prospect — then I refine the framework so every output sounds human, sharp, and on-brand. Personalisation at the scale of hundreds without losing quality.
Sequences run across LinkedIn (connection + DM) and email simultaneously, timed around the prospect's activity patterns. CRM captures every touch, reply, and outcome — creating a live feedback loop that continuously improves targeting and messaging.
Each engagement ran the full AI-driven GTMe motion — signal detection, AI enrichment via Clay, hyper-personalised sequences, and CRM automation. All five sold into finance-adjacent, regulated, or enterprise markets.
Datarails sells AI-powered financial planning and analysis to CFOs and finance directors at SMB–mid-market companies. I ran end-to-end outbound: enriched ICP lists built in Apollo + Clay, multi-step LinkedIn connection campaigns via Sales Navigator, and email cadences via Instantly. Every message was persona-specific and built around pain points like manual data consolidation, version-control chaos, and delayed reporting cycles.
Panax is a fintech startup targeting VPs of Finance and Treasurers at mid-market companies in manufacturing, logistics, and real estate — sectors where cash flow risk is existential. I built the entire outbound motion from scratch: Clay-enriched lead lists, Sales Navigator prospecting, and Instantly email sequences. Messaging positioned Panax's real-time cash visibility and liquidity optimisation against the risk of running blind on manual treasury spreadsheets.
Deeto sells to CMOs, VP Marketing, VP Sales, and Customer Success leaders at growth-stage B2B SaaS companies. I managed multi-persona outbound sequences via Lemlist, LinkedIn DM campaigns via Sales Navigator, and kept Salesforce CRM clean and accurate throughout. Messaging centred on the growing trust gap in enterprise buying and how peer proof accelerates pipeline.
Pecan AI is a Gartner Cool Vendor selling a no-code predictive analytics and machine learning platform to BI analysts, data teams, and revenue leaders at enterprises in fintech, insurance, retail, CPG, and telecom. Buyers use Pecan to forecast churn, LTV, demand, and conversion without a data science team. I ran targeted outbound campaigns via LinkedIn Sales Navigator and email sequences, building sequences around the pain of delayed AI adoption and the cost of hiring data scientists.
EverWorker builds no-code AI agents that automate multi-step business workflows across GTM, finance, HR, and operations — deployed in 8 weeks, no engineering required. I ran the full AI-driven GTMe motion: using AI-enriched prospecting via Clay to build hyper-personalised outreach, LinkedIn + email sequences targeting COOs, Heads of Operations, and GTM leaders at mid-market and enterprise companies evaluating agentic AI. Managed pipeline in CRM end-to-end.
Every tool in this stack plays a specific role in the signal → enrich → personalise → execute pipeline.
HyperVerge sells AI-powered KYC and identity verification into banks, lenders, fintechs, telecom, gaming, and e-commerce — regulated industries where onboarding speed, fraud prevention, and compliance are the buying triggers.
Define HyperVerge's ideal account profile by vertical (BFSI, fintech, gaming, telecom, e-commerce), company size, geography, and buyer role. Build enriched lead lists in Clay + Apollo + Sales Navigator targeting Heads of Compliance, CTOs, VP Product, and Digital Transformation leaders at institutions that need KYC infrastructure at scale.
Write and launch persona-specific LinkedIn + email sequences framing HyperVerge's 99.5% accuracy, 3-second verification, and 200-country coverage as direct answers to onboarding friction, drop-off rates, fraud risk, and regulatory pressure. Multi-touch, multi-channel, deliverability-optimised from day one.
Stand up and maintain HubSpot or Salesforce CRM — lead routing, lifecycle stages, activity logging, and follow-up automation. Deliver weekly pipeline reporting: accounts touched, reply rates, meetings booked, and top-of-funnel conversion by segment and buyer persona.