About DataBrain

DataBrain is an AI-powered analytics platform that helps SaaS companies cut ad-hoc reporting by over 90%. Backed by top-tier VCs and leading Silicon Valley angels, we’re building the future of embedded BI – fast, flexible, and developer-first.

The Role

We’re looking for a GTM Engineer who will own and build our revenue automation infrastructure from the ground up. This isn’t your typical marketing or sales ops role—you’ll be the architect of our entire outbound engine, designing and implementing systems that turn MQLs into qualified pipeline at scale.

You’ll be responsible for building automated workflows that connect our CRM, enrichment tools, and outreach platforms into a seamless, AI-powered revenue machine. If you get excited about writing custom scripts to optimize lead routing, building multi-channel sequences that actually convert, and using AI to personalize outreach at scale, this role is for you.

What You’ll BuildMQL → SQL Automation Engine

Design and implement automated lead scoring, routing, and enrichment workflows
Build triggers that identify high-intent signals (funding events, tech stack changes, hiring patterns) and automatically initiate personalized outreach
Create real-time data pipelines that enrich leads with firmographic, technographic, and intent data
Develop custom lead qualification logic that routes prospects to the right rep at the right time

Outbound Automation Infrastructure

Build multi-channel cadences (email → LinkedIn → retargeting) using tools like Clay, Apollo, Outreach, or similar
Design trigger-based sequences that respond to buyer behavior and engagement signals
Implement AI-driven personalization systems that customize messaging based on company data, role, and intent
Create automated prospecting workflows that identify ICP accounts and execute targeted outreach

CRM & Revenue Operations

Configure and optimize our CRM (HubSpot/Salesforce) to support scalable revenue operations
Build custom dashboards and reporting systems that track pipeline velocity, conversion rates, and campaign performance
Design workflows for data hygiene, deduplication, and field standardization
Integrate and orchestrate our entire GTM tech stack (CRM, enrichment, sequencing, analytics)

Continuous Optimization

Run A/B tests across subject lines, messaging, cadence timing, and channels
Analyze funnel metrics to identify bottlenecks and optimization opportunities
Iterate on ICP definitions and targeting criteria based on conversion data
Build feedback loops that continuously improve lead quality and conversion rates

Who You AreAI-Native Technologist

You default to automation and AI for everything—if it can be scripted, you’ll script it
Comfortable with APIs, webhooks, custom integrations, and no-code/low-code tools (Zapier, Make, n8n)
Experience using AI tools (GPT-4, Claude, etc.) to generate personalized content at scale
You think programmatically and can turn manual processes into automated workflows

Technically Hacky

Proficient with SQL, Python, or JavaScript for data manipulation and custom automation
Experience with CRM APIs and building custom integrations
Comfortable working in tools like Clay, Apollo, Clearbit, Phantombuster, or similar
You can debug issues, read documentation, and figure things out independently

Data-Driven Growth Mindset

Obsessed with metrics: open rates, reply rates, conversion rates, pipeline velocity, CAC
You run experiments constantly and let data drive decisions
Experience analyzing funnel performance and identifying optimization opportunities
Comfortable with analytics tools (SQL, Looker, Tableau, or similar)

GTM Systems Expertise

Deep understanding of the B2B SaaS buyer journey and sales funnel
Experience building outbound systems in a high-growth startup environment
Knowledge of modern GTM tech stacks and how to orchestrate them effectively
Understanding of lead scoring, enrichment, and qualification best practices

Execution-Oriented

You ship fast and iterate—80% done and live beats 100% perfect and never shipped
Comfortable with ambiguity and building from scratch
Self-directed and ownership-minded—you see problems and fix them without being asked
Strong project management skills and ability to juggle multiple initiatives

Required Experience

2-3 years in growth, sales ops, RevOps, marketing ops, or similar technical GTM roles
Proven track record building and scaling outbound automation systems
Hands-on experience with CRM configuration and workflow automation (HubSpot, Salesforce, or similar)
Proficiency with modern GTM tools (Clay, Apollo, Outreach, Lemlist, Instantly, etc.)
Technical skills: SQL, Python/JavaScript, APIs, webhooks, automation platforms
Experience with data enrichment and lead scoring methodologies
Track record of improving conversion rates and pipeline metrics through automation

Nice to Have

Experience in embedded analytics, data infrastructure, or B2B SaaS companies
Background in software engineering or technical product roles
Experience selling to technical buyers (CTOs, data leads, engineering teams)
Familiarity with data warehouse tools (Snowflake, BigQuery, Databricks)
Previous startup experience (seed to Series B stage)
Understanding of multi-tenancy data models and enterprise SaaS architectures

What We Offer

Ownership & Impact: Build our revenue engine from the ground up—you’ll own the entire GTM automation infrastructure
Cutting-Edge Tech Stack: Work with the latest AI tools and automation platforms
Learning & Growth: Rapid career growth as we scale—this role will evolve into a leadership position
Competitive Compensation: Competitive salary with meaningful equity
Flexible Work: Remote-friendly with optional time in our Chennai office
Travel Opportunities: Regular travel to US tech hubs for customer meetings and conferences

Apply

If you’re excited about building revenue systems that combine AI, automation, and data-driven strategy, we want to hear from you. Send your resume along with:

A brief description of the most impressive GTM automation system you’ve built
Links to any relevant projects, scripts, or workflows you’ve created
Your favorite GTM tools and why you use them

DataBrain

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GTM Engineer