Toronto · open to roles in North America & Europe

I sell it, then I build the machine that sells it.

Three-time founding sales hire. Nine years closing SMB and mid-market SaaS, and the same nine years building the CRM architecture, forecasting models and automation underneath the number.

Ashwin Sadananthan
3×Founding sales hire
$3M+ARR built at respond.io
20Reps hired & scaled
10→50%Handraiser → meeting rate

What I'm looking for

Three shapes of role, one underlying job.

Founding AE

Give me the product, an ICP hypothesis and an empty CRM. At Consio I generated $200K ARR in six months from a standing start. At respond.io I was the first AE, hit 140–200% of monthly quota, and wrote the playbook the next nine reps ran on.

Founding GTM

The job past closing: ICP, pricing, process, CRM architecture and the automation layer underneath. I built respond.io's first repeatable motion on top of an existing product-led base and moved the company off founder-led selling entirely.

Sales & GTM leadership

Hired and scaled 9 AEs, 9 SDRs and 2 partnership managers. Grew sales' contribution to company revenue by 600% in under 12 months while holding 35%+ win rates and sales cycles under 45 days. The playbook I wrote is still in use.

The common thread is building the thing before it exists. Every role I've taken since 2021 has been a first or a founding seat: no playbook, no CRM, no benchmark to hit. Most sellers stop at the quota. I keep going until the motion runs without me.

Selected builds

The infrastructure under the number.

Every founding seat I've taken came with the same problem: the pipeline was real but nothing underneath it was. These are the systems I built to fix that, and what they returned.

Two outbound engines, one per channel

Consio.ai · 2025–26
One contract AE, no ops function, one in ten handraisers converting. Everything wired in n8n.

The problem

An early-stage AI phone platform selling to Shopify stores. The cold email campaign produced handraisers, but only one in ten became a booked meeting, and every call was prepped by hand. Email and phone were being run as if they were the same motion, on the same generic messaging.

What I built

  • An ICP grounded in evidence rather than opinion: I profiled top-performing accounts in Metabase, then used Clay and Store Leads to find organisations matching that shape
  • Email engine: Clay enriched each prospect and generated the copy, sent through Instantly
  • Phone engine, built separately: Claude read the prospect's profile, found the closest match among existing customers, and generated a bespoke call script around that story. Manual prep went to zero
  • Lead scoring so the highest-intent accounts got worked first
  • LinkedIn and Slack automations across 200+ accounts, with Claude working from HubSpot deal state and a meeting database in Google Docs to decide who needed a touch
Stackn8n · Clay · Instantly · Store Leads · Metabase · Claude · HubSpot

Handraiser-to-meeting conversion went from 10% to 50%: half of everyone who replied with interest ended up on a call. $200K ARR closed in the first six months while the engines ran underneath.

The company brain

Consio.ai · 2025–26
What sales learned on a call, customer success found out weeks later, if at all.

The problem

Everything the company knew about its customers lived in call recordings nobody re-listened to. HubSpot went stale because updating it was somebody's fifth priority. Product feedback never reached product. Sales, CS, partnerships and onboarding each held a fragment and none of them held the whole picture.

What I built

  • A central knowledge base: Fathom transcribed every conversation into Google Docs, with Claude generating summaries and follow-ups on top of it. One place the whole company could read
  • A webhook off the call recorder into n8n, writing summaries and deal updates straight into HubSpot so the CRM stayed current without anyone maintaining it
  • A product-gap layer reading transcripts, extracting feature requests, and posting them into a product Slack channel that fed the feature request tracker
Stackn8n · Fathom · Google Docs · Claude · HubSpot · Slack

10+ hours a week returned across sales, CS, partnerships and onboarding, and a company that stopped losing what it had already learned.

Signup to CRM, with nobody touching it

Consio.ai · 2025–26
A free trial signup should not need a human to become a tracked deal.

The problem

Every new account created a small pile of manual work: find out whether the company already existed in HubSpot, check for an open deal, create whatever was missing, associate the right owner, and open a line of communication with the user. Done by hand it was slow, and it was skipped often enough that the CRM drifted out of sync with reality within weeks.

What I built

  • A webhook-triggered n8n pipeline firing the moment an account is created, normalising the payload before anything else runs
  • A duplicate-workspace check with an explicit skip path, so replayed or repeated events never create a second record
  • Automatic outreach on creation: a LinkedIn invite via BotDog, and a sub-workflow opening a dedicated Slack channel between the team and the new trial user
  • Entity resolution against HubSpot: search company by domain, then find deals by company ID
  • A three-way branch covering every state the CRM could be in. Deal already in the sales pipeline gets updated; company exists without a deal gets one created; nothing exists at all gets the company built first, then the deal
  • A shared Associate Owner sub-workflow called from all three paths, so ownership is attached consistently no matter which route the record took
n8n workflow: New Account Created (Owners Associated). Webhook triggers payload normalisation, a duplicate-workspace check, LinkedIn and Slack outreach, HubSpot entity resolution, then a three-way branch that updates or creates the deal and company before associating the owner.

New Account Created (Owners Associated) — the live workflow. Click to open full size.

Stackn8n · HubSpot API · BotDog · Slack · JavaScript

Every signup arrives in HubSpot as a correctly associated company and deal, with the customer already in a Slack channel, before anyone on the team has looked at it.

From product-led to predictable

respond.io · 2021–23
Employee number twenty, first sales hire, a PLG funnel nobody was catching.

The problem

A conversational platform growing on free trials, with the founder still closing most of the revenue. Trial users signalled intent daily and nobody read it. No forecast worth the name, no defined process, no way to coach reps where deals were actually lost, and no commercial package for the larger accounts already showing up.

What I built

  • The first repeatable sales motion on top of the existing product-led base, taking the company off founder-led selling
  • Two changes that drove 200% of quota: calling free trial users immediately rather than waiting, and replacing generic walkthroughs with demos built around each prospect's specific use case
  • An enterprise plan, created from scratch, so mid-market accounts at $20–30K ACV had something to buy
  • An SDR program mining trial usage for intent, producing 200+ qualified meetings per week
  • A data-driven forecasting model that made pipeline predictable enough to hire against
  • A coaching layer on Fireflies.ai meeting insights, so process changes came from what reps actually said on calls
StackHubSpot · Fireflies.ai · Zapier · trial-usage intent data · forecasting model

Scaled to $3M+ ARR with 35%+ win rates and cycles under 45 days, selling to accounts including British Airways and UAE telcos. Sales' contribution to company revenue grew 600% in under 12 months, the team reached 21 people, and the playbook I wrote is still in use.

A partner-led motion, from zero

reSolved · 2024–25
No CRM, no forecast, and revenue arriving through partners nobody was tracking.

The problem

A solution provider building custom grant management systems for NGOs and charities. Deals came through partner referrals and co-sell arrangements, but there was no system recording which partner produced what, no pipeline visibility, and no basis for forecasting a quarter.

What I built

  • Salesforce implemented and customised from scratch for partner tracking, revenue forecasting and pipeline management
  • A repeatable sales motion built on top of partner referrals and co-sell agreements
  • Deep product expertise in complex grant management software, translated for finance and operations buyers
StackSalesforce · partner attribution · forecasting & pipeline reporting

$200K+ USD generated through partnership-driven new business, with the pipeline visible and forecastable for the first time.

Experience

Nine years, three continents.
Consio.ai
Toronto · 2025–26
Founding Account Executive / AI GTM
  • Generated $200K ARR in the first six months from a standing start
  • Ran 7–8 discovery calls a week across 80+ active deals, touching each every five days
  • Built company-wide AI infrastructure saving 10+ hours per week across sales, CS, partnerships and onboarding
  • Lifted handraiser-to-meeting conversion on the cold email engine from 10% to 50% using Clay for targeting and scripting
  • Built separate email and phone outbound engines, plus lead scoring to prioritise the highest-intent accounts
reSolved
Toronto · 2024–25
Founding Account Manager
  • Generated $200K+ USD through partnership-driven new business
  • Built a sales motion on top of partner referrals and co-sell agreements
  • Introduced and customised Salesforce for forecasting, partner tracking and pipeline management
respond.io
Kuala Lumpur · 2021–23
Head of Sales & Partnerships → Fractional RevOps Manager → Founding AE
  • First sales hire at employee ~#20; built the first repeatable sales motion on top of an existing product-led growth base
  • Created the enterprise plan from scratch, opening up mid-market accounts at $20–30K ACV including British Airways and UAE telcos
  • Scaled the sales team to $3M+ ARR with 35%+ win rates and sales cycles under 45 days
  • Grew sales' contribution to company revenue by 600% in under 12 months
  • Hired and scaled 9 AEs, 9 SDRs and 2 partnership managers
  • Launched an SDR program generating 200+ qualified meetings per week from free-trial users
  • As founding AE: $500K ARR across South East Asia, South Asia and the Middle East at 140–200% of quota
Qlik
Singapore · 2018–20
Trial Success Lead → Commercial Account Manager → BDR
  • $1.4M in license sales through channel partnerships at 139% of quota, across 6 ASEAN markets
  • Drove 250% growth from key focus partners through targeted enablement and joint sales motions
  • 130% of KPIs in first quarter optimising trial-to-conversion workflows; built $600K+ in enterprise pipeline
FDM Group
Singapore · 2015–18
Account Manager & Project Consultant
  • Generated $5M+ CAD, outperforming every other sales professional in Singapore
  • Built C-level relationships at ANZ, RHB, CIMB and Liberty Insurance
University of Leeds
United Kingdom · 2010–14
MEng, Robotics and Mechatronics

Stack

What I build and sell with.

Build

Clayn8nClaude ZapierWebhooks & APIsSalesforce HubSpotInstantlyFathom Fireflies.aiStore LeadsMetabaseOpenAI API Qlik SenseCRM architectureLead scoring Pipeline forecastingProcess automation

Sell

Full-cycle SMB & mid-marketDiscoveryValue-based selling Technical product sellingC-level engagementOutbound & inbound Partner & channelTeam scalingEnablement & coaching GTM strategyApolloSalesloft

Contact

If you're hiring a first seller, a founding GTM lead, or someone to build the system and then run the team on it, I'd like to hear about it.

Toronto-based · open to roles across North America and Europe · nine years working across time zones · available immediately