Three go-to-market builds, one company.

Four years and four months at smartSense. Two in-house products and a services business, plus a side project and the systems I built for myself.

smartSense

Full-time · 4 yrs 4 mos

Sr. Manager, Sales & Marketing

Apr 2024 – Jul 2026 · 2 yrs 4 mos

Manager, Sales & Marketing

Apr 2022 – Mar 2024 · 2 yrs

HR TechB2B Smart Home TechnologyB2C AI Services SalesB2B
Lifestyle brand

DOO’s brand strategy and paid demand engine.

1 yr 4 mo  ·  B2C  ·  thedoo.io

What I ownedBrand strategyDemand pipelineSales enablement
Result₹25L → ₹2Cr8X ARR in 1 yr 4 mo · ~$30K → ~$240K
~80%lower cost per lead
~4Xreturn on ad spend
5M+reach
40Xwebsite visits
20Xbrand engagement

Growth story

01Build credibility before spend250 → 4K followers, 1M+ organic reach, 3X engagement
02Experiment till you find the buyerIntent over interest, persona splits
03Deep dive on data to scaleCPL ~68% lower, cold to retargeting
04Hold positioning when earlyUnderstand the market sentiments first
05Listen closely to salesInfluenced brand and product decisions
06Check the funnel leak downwardsEnablement and brand ops
Read the case study
HR Tech · B2B SaaS

HR Tech for campus hiring.

2 years  ·  B2B SaaS  ·  fosterclub.io

What I ownedSupply-side GTMPartnershipsCampus activations
Result$150,000+revenue, built from zero
10,000+colleges onboarded
6,000+cold calls
1,500+campus drives
1,200+graduates placed
80+product demo calls
100+workshops and competitions

What Foster taught me

  • Design from both sides, or the whole thing stalls. We built from the employer's point of view without enough customer conversation, and missed that colleges ran their own institutional decision cycle.
  • Narrative is a growth lever, not decoration. We moved from selling a placement management tool to a college discovery tool for employers, and college-side adoption went up.
  • Effort scales linearly. Systems scale exponentially. The supply side became a system. The parts that stayed manual never compounded.
  • Resourced to exist is not resourced to win. Enough to keep going is not enough to break through. Constraints can kill a product faster than the market does.

Case study in progress

AI Services Sales · B2B

AI services sales in the US market.

1 year  ·  B2B  ·  smartsensesolutions.com

What I ownedDemand generationABM researchPipeline creationSales enablementPre-sales
Result$1M+revenue across 4 enterprise deals
$5M+pipeline created
4enterprise deals closed
100+sales enablement assets

What smartSense taught me

  • Experiment broad, then narrow to one or two things. Sales pursued many goals at once. Priorities kept shifting and a plan for scale never took shape.
  • Know how deals actually move. A year inside proposals maps where deals stall and which collateral moves them.

Case study in progress

The side project

Agentic AI for video generation.

7–8 months  ·  0 → Prototype

FocusCustomer Discovery·Product R&D·Prototyping
ResultPrototype0 → working build, over 7–8 months
30–35 hrsa week, for 6–7 months
4–5working prototypes
UIbuilt and tested in the final 2 months

Limitations

  • The outcome was qualitative, in a complex way, Even a technically correct agent pipeline could not guarantee output a client would accept. The complexity ran deeper than I anticipated.
  • I built before walking the process manually, I started building around image and video models without first doing the manual R&D myself. An early mistake, learnt late.
  • The ground kept shifting, Image and video models were evolving too fast to build a stable product on top of them.

What I learned

  • Validate feasibility, not just demand, Customer conversations proved the gap was real. Only hands-on R&D could have proved the build. Do both before committing.
  • Building a product is a different craft from taking it to market, Years of SaaS GTM did not translate into product development. I now know first-hand where my craft ends.
  • Pressure turns thinkers into executors, The pressure I put on myself to keep things moving had me executing instead of thinking. I watch for that now.
Systems I built

Things I build with Claude.

Nineteen Claude skills across four layers, running on Google Sheets. I built the job search itself as the thing to automate, and it is the system that ran this one.

Layer 01 · SourceFind the companies and roles
8 skills · 10+ job sources, daily
217companies in the tracker
Finds companies at the right stage and roles that are actually open, across job boards, LinkedIn hiring posts and funding announcements. 78 VC firms and angel networks tracked alongside.
Layer 02 · EnrichMake each one specific
5 skills · Apollo · Exa · Apps Script
~40enrichment fields per company
Turns a company name into something I can write a specific email about. Funding and business model, hiring signals and open GTM roles, founder background and warm paths, then a priority band.
Layer 03 · ConvertProduce the application
4 skills · resume, letter, positioning, outreach
Verbatimbullets, never invented
Reorders my existing bullets and weaves in the language of the job description. That is all it is allowed to do — when a role asks for something I don’t have, it flags the gap instead of writing a new bullet.
Layer 04 · MeasureTrack what came back
2 skills · GA4 · UTM architecture · visitor ID
533sessions traced to source
Matches every reply and rejection back to the outreach that triggered it, and per-recipient links show which sends actually get opened. Nearly half of all traffic arrives through a resume link.
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What next

I am looking for a GTM or Brand role at an early-stage startup, where the function is still being built.