Headline

Demand Gen Systems for B2B SaaS | Fractional Head of Demand Gen | Helped 10+ companies build pipeline that doesn’t rely on luck | Advisor · Consultant

About

Most pipeline problems aren't pipeline problems. They're system problems. I've built and rebuilt demand gen engines across 10+ B2B SaaS companies - from Series A startups with nothing to growth-stage teams moving fast. The pattern is almost always the same. Tactics get optimized. More ads get run. More tools get added. But no one fixes the foundation. At Bureau (my most recent role), I came in to a declining demand engine and rebuilt it from the ground up across US, EU, and APAC: → $23M+ pipeline influenced in 12 months → Marketing contribution: <20% → 45% of total pipeline → MQL → SQL conversion up 40%+ → Enterprise sales cycle cut by 30% → 2–3x ROI across paid and outbound, outperforming SaaS benchmarks → Win rate: 28% across $20K–$2.5M ACV deals The framework I use is called The Demand Stack - five layers that have to be right before you touch spend: ICP, message, channel, funnel, attribution. Most teams skip to layer 3. That's where the money goes to die. Currently Head of Demand Gen at Vieu, building the system that scales. Outside of Vieu, I work with B2B SaaS founders and revenue leaders - as a fractional advisor, or consultant - when they're done guessing and ready to build something that actually compounds. If your pipeline isn't compounding, I'd like to hear why. 📅 Book an appointment in the featured section.

Location

Bengaluru

AI stack

claude code

claude

codex

notebooklm

notion

openai

Work experience

Head of Demand Generation at Vieu, Jan 2026 - Aug 2026 · 8 mos, Bengaluru, Founding marketing hire at a seed-stage AI relationship-intelligence platform. Built the MarTech and RevOps stack from zero in 60 days (HubSpot, Clay, attribution, UTMs) and launched inbound, outbound and paid together. Built the SDR operating framework (signal-based playbooks, battle cards, win/loss analysis) and deployed Claude + Clay workflows that cut manual prospecting about 60%. Led a six-person revenue team across SDRs, AEs, RevOps, product marketing, events, brand and paid. Restructured LinkedIn Ads across $46K of spend, bringing cost per lead from about $719 toward sub-$400. Planned the Dreamforce 2026 activation inside a $10-15K budget. The role ended by mutual agreement in August 2026 as the company prioritised product fixes.

Head of Demand Generation & Revenue Marketing (Global) at Bureau, Jun 2025 - Dec 2025 · 7 mos, Bengaluru, Took over a declining demand engine and rebuilt it into a predictable, multi-region pipeline system across US, EU, and APAC, influencing $23M+ in pipeline and driving 3x growth in qualified opportunities within 12 months. Transformed marketing from a support function into a core revenue driver, increasing contribution from <20% to 45% of total pipeline. Influenced $23M+ pipeline with strong win rates (28%), translating into multi-million dollar revenue impact. Delivered 2–3x ROI across paid and outbound channels, outperforming SaaS benchmarks through sharper ICP definition, channel prioritization, and disciplined budget allocation. Reduced enterprise sales cycle by ~30%, accelerating deal velocity by fixing funnel bottlenecks, improving qualification, and enforcing tighter marketing–sales SLAs. Built and scaled a 7-member cross-functional team (Demand Gen, Paid, Content, Design, MarTech Ops), establishing a structured operating cadence and clear ownership across pipeline stages. Re-architected the end-to-end MarTech stack (HubSpot Super Admin) integrating outbound, intent (Factors.ai), enrichment, and automation layers, improving lead routing speed by 40%+ and enabling real-time pipeline visibility. Designed and executed geo-specific ABX programs, increasing MQL → SQL conversion by 40%+ and improving enterprise meeting quality across key regions. Owned pipeline generation across a wide ACV spectrum ($20K–$2.5M deals), supporting both mid-market velocity and complex enterprise sales motions. Built executive and board-level dashboards connecting marketing spend → pipeline → revenue, improving forecast accuracy by 20%+ and enabling data-backed budget decisions.

Demand Generation Manager at Bureau, Jun 2024 - May 2025 · 1 yr, Bengaluru, Karnataka, India

Travel at Career Break, Mar 2024 - May 2024 · 3 mos, India

Marketing Manager at Quintype Technologies, Jan 2023 - Dec 2023 · 1 yr, Bengaluru, Built the foundation of a multi-channel demand engine across Email, LinkedIn, WhatsApp, and Events, anchored on clear ICP definition and persona-driven targeting. Designed and operationalized a structured outbound system, combining sequencing, personalization, and channel orchestration to drive consistent top-of-funnel pipeline. Established database and segmentation frameworks to improve targeting precision and enable scalable campaign execution across global markets. Led content and messaging strategy for outbound, aligning assets (case studies, comparisons, narratives) to buyer pain points and sales conversations. Strengthened email infrastructure and deliverability systems, ensuring reliable campaign performance at scale Integrated campaigns with CRM and automation workflows, enabling lead tracking, routing, and early lifecycle management. Partnered closely with sales to improve lead quality and conversion readiness, aligning marketing efforts to pipeline outcomes. Owned performance tracking across channels, using insights to continuously refine channel mix, messaging, and engagement strategy.

Marketing Manager at disprz, Aug 2021 - Dec 2022 · 1 yr 5 mos, Bengaluru, Executed end-to-end marketing programs across email, database, and events, supporting pipeline generation and MQL targets. Improved email-driven website traffic by 500%+ by fixing deliverability issues and optimizing content and targeting. Designed and managed personalized email journeys, improving engagement and conversion across lifecycle stages. Managed core marketing stack (HubSpot, Salesforce Pardot, ZoomInfo, Snov.io, Zerobounce, Calendly) to execute and track campaigns effectively. Built and maintained performance dashboards tracking delivery, open rates, CTR, demo conversion, and funnel metrics to guide optimization. Owned database management and segmentation, enabling more targeted and efficient outbound campaigns Supported event marketing initiatives, ensuring quality MQL generation and follow-through into the pipeline. Maintained campaign performance above industry benchmarks, adapting strategies post changes like Apple MPP.

Education

Master of Business Administration (MBA), Marketing/Operations, Amrita School of Business - Amritapuri Campus

Bachelor of Business Management(BBM), Business, Management, Marketing, and Related Support Services, Amrita Vishwa Vidyapeetham