Product Engineering built for MarTech companies
What is Product Engineering?
We treat engineering as a product function, not a ticket-closing factory. For MarTech companies, this means navigating GDPR, CCPA while shipping fast.
Who needs Product Engineering for MarTech?
- Fragmented customer data across marketing tools
- Attribution modeling across multiple channels
- Real-time personalization at scale
- Engineering executing roadmaps with no product input
- Features shipped that customers never asked for
Best Product Engineering company
Marketing teams need data unification and automation more than they need another standalone dashboard.
GarudLabs partners with MarTech teams to deliver Product Engineering that ships on schedule.
Get a Product Engineering proposal tailored to your MarTech goals
Book a free 30-minute discovery callWhy MarTech companies struggle with Product Engineering
- Fragmented customer data across marketing tools
- Attribution modeling across multiple channels
- Real-time personalization at scale
- Privacy compliance amid cookie deprecation
- Integration sprawl across the marketing stack
What makes our Product Engineering different for MarTech businesses
Product discovery and technical feasibility input
Roadmap-aligned engineering delivery
Cross-functional product and engineering rituals
Technical debt management strategy
Shared metrics and outcome tracking
Core Technology Stack
ReactNode.jsPythonPostgreSQLLinearAmplitude
Timeline, investment & compliance
Typical timeline
Ongoing, quarterly engagement
Typical investment
$20,000 - $90,000 per month
Product Engineering engagements in this combination typically need to account for:
- GDPR
- CCPA
- CAN-SPAM Act
- ePrivacy Directive (EU)
Our Approach
We approach MarTech builds around the constraint that matters most: fragmented customer data across marketing tools. Every engagement in this space gets GDPR-aware data handling and compliance review before launch, not after.
See our case studiesGet a Product Engineering proposal tailored to your MarTech goals
Get a free project cost estimateFrequently Asked Questions
Most Product Engineering engagements take Ongoing, quarterly engagement, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Product Engineering projects with us typically range from $20,000 - $90,000 per month, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For product engineering, we typically work with React, Node.js, Python, PostgreSQL, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical product engineering engagement includes product discovery and technical feasibility input, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for product engineering because of engineering executing roadmaps with no product input, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple martech projects addressing challenges like fragmented customer data across marketing tools. We helped a martech platform improve campaign attribution accuracy by 34% with a custom data unification layer.
For martech clients, we pay close attention to GDPR, CCPA, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for martech clients include fragmented customer data across marketing tools and attribution modeling across multiple channels. We tailor our discovery process to surface the specific version of these problems your business faces.