Gagan Bhatla — CEO

Most SaaS and digital product companies don’t struggle because of a lack of ideas; they struggle because scaling engineering teams is slow, risky and expensive. -> Hiring full-time developers takes months. -> Traditional agencies create dependency, opacity, and vendor lock-in. -> And freelancers rarely scale beyond short-term execution. I work with SaaS founders, product leaders and CTOs who want to scale engineering without losing control, predictability or code ownership. My focus is simple: - Reduce hiring risk - Eliminate delivery surprises - Build dedicated, AI-ready, cloud-native teams that behave like an in-house extension, not an outsourced vendor Over the last two decades, I’ve worked at the intersection of enterprise sales, product engineering and digital platforms, partnering closely with CXOs and technology leaders to align engineering execution with real business outcomes, not vanity metrics. Today, I advise and help international product companies: -> Build and scale remote engineering teams faster than in-house hiring -> Maintain full transparency across code, sprints, and delivery -> Avoid long-term lock-ins while retaining operational control If you’re a product company struggling with slow hiring, rising burn or unreliable delivery models, there’s usually a better way to scale. 📩 DM me if you want a candid conversation about alternatives to traditional hiring or agency-led development.

Stackforce AI infers this person is a SaaS expert with a strong focus on engineering scalability and digital transformation.

Location: Gurgaon, Haryana, India

Experience: 20 yrs 1 mo

Skills

Engineering Team Scaling
Product Engineering Strategy
Enterprise Business Growth
Go-to-market Strategy
Saas Analytics
Gtm Strategy

Career Highlights

Expert in scaling engineering teams for SaaS companies.
Proven track record in aligning technology with business outcomes.
Advises on building AI-ready, cloud-native teams.

Work Experience

Confidential / Undisclosed Clients

Independent Advisory & Execution Support – Engineering Scale (4 mos)

Neuronimbus

AVP - Enterprise Business (1 yr 4 mos)

Vidooly | A Good Creator Co.

AVP-Revenue (4 yrs 9 mos)

Network18 Media & Investments Limited

Senior Account Group Head - Focus Sales @ Network18 (2 yrs 7 mos)

Hindustan Times

Senior Manager - Digital Brand Solutions (11 mos)

iTV Network

Senior Manager - SKOPE (11 mos)

Hindustan Times

Senior Manager - Media Marketing, Mint (1 yr 2 mos)

Dun & Bradstreet India

Unit Manager - Economic Analysis Group / Sales and Marketing Solutions (1 yr 10 mos)

Unit Manager (4 yrs 1 mo)

Alphabet Media

Senior Manager, Business Development (8 mos)

Indian Express

Sr Executive Marketing (1 yr 3 mos)

vAngelz Technologies

Business Development Manager (6 mos)

Education

Master of Business Administration - MBA at University of Technology Sydney

BTech. (Hons) at University of Hertfordshire

10+2 at Manav Sthali School

MBA at University of Technology Sydney

Gagan Bhatla

CEO

Gurgaon, Haryana, India20 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in scaling engineering teams for SaaS companies.
Proven track record in aligning technology with business outcomes.
Advises on building AI-ready, cloud-native teams.

Stackforce AI infers this person is a SaaS expert with a strong focus on engineering scalability and digital transformation.

Contact

Skills

Core Skills

Engineering Team ScalingProduct Engineering StrategyEnterprise Business GrowthGo-to-market StrategySaas AnalyticsGtm Strategy

Other Skills

Distributed / Remote TeamsProject ManagementProduct EngineeringCloud-native ArchitecturesEnterprise AdoptionVideo IntelligenceConcept SalesConsultative SellingP&L ManagementEventsUpsellingCustomer RetentionCross-SellingCross-functional CollaborationsNew Media Sales

About

Experience

20 yrs 1 mo

Total Experience

1 yr 10 mos

Average Tenure

1 yr 4 mos

Current Experience

Confidential / undisclosed clients

Independent Advisory & Execution Support – Engineering Scale

Jan 2026 – Present · 4 mos · Global (Remote)

I advise and support leadership teams in executing engineering scale strategies without increasing hiring risk, delivery volatility or long-term dependency.
My work spans:
Designing engineering scale models beyond traditional in-house hiring
Supporting execution of distributed and dedicated team structures with clear governance
Establishing delivery oversight, sprint visibility, and code ownership frameworks
Helping founders and CTOs operationalize decisions around build vs hire vs partner
This work is selective and advisory-led, focused on enabling leadership teams to make and execute informed decisions - not on day-to-day delivery or staff augmentation.

Engineering Team ScalingProduct Engineering StrategyDistributed / Remote TeamsProject Management

Neuronimbus

AVP - Enterprise Business

Jan 2025 – Present · 1 yr 4 mos · Gurugram, Haryana, India · Hybrid

I lead enterprise growth by aligning complex digital initiatives with measurable business outcomes for global and high-growth organizations.
My role sits at the intersection of enterprise sales, product engineering, and go-to-market strategy, where I work closely with CXOs, founders and technology leaders to translate business objectives into scalable digital platforms.
Key focus areas:
Drive enterprise and mid-market revenue by positioning digital solutions as business enablers, not technology projects
Advise leadership teams on product engineering, cloud-native architectures, and platform scalability to accelerate time-to-value
Shape and execute consultative GTM strategies across web platforms, e-commerce ecosystems, and data-driven growth initiatives
Act as a strategic bridge between business stakeholders and delivery teams, ensuring clarity, predictability, and ROI accountability
Build long-term client partnerships rooted in trust, transparency, and outcome ownership, rather than transactional delivery
This role has strengthened my conviction that technology succeeds only when it is governed, aligned, and commercially accountable, a principle I now carry into every advisory and scaling conversation.

Enterprise Business GrowthGo-to-Market StrategyProduct EngineeringCloud-native Architectures

Vidooly | a good creator co.

AVP-Revenue

Apr 2019 – Jan 2024 · 4 yrs 9 mos · Noida, Uttar Pradesh, India

Before building and advising engineering scale models, I worked deep inside a data-intensive SaaS platform, helping global customers turn complex video intelligence into commercial and operational advantage.
At Vidooly, the platform processed millions of video assets daily across Social Media platforms (Instagram, FB and YouTube) and OTT 's, serving media companies, brands and digital platforms that depended on speed, accuracy and trust in data to make decisions.
My work focused on:
Driving enterprise adoption and revenue growth for a SaaS analytics platform selling into complex, multi-stakeholder environments
Translating highly technical capabilities (big data pipelines, video intelligence, ML-driven insights) into clear business outcomes for CXOs and decision-makers
Working closely with product and engineering teams to align market demand with scalable platform architecture
Supporting GTM strategy for analytics products spanning audience insights, content performance, brand safety and competitive intelligence
Learning first-hand how SaaS buyers evaluate risk, credibility and long-term platform partners
In parallel, exposure to AI-driven video analytics beyond marketing use cases (including real-time surveillance intelligence) reinforced a critical insight:
"Sophisticated technology fails if execution lacks governance, transparency and alignment with real-world operations."