Lead GTM Engineer

BrainPOP•New York, NY

2d•Hybrid

About The Position

BrainPOP is building an AI-first go-to-market engine — and the Lead GTM Engineer is the role that makes it run. This is not a traditional CRM admin or developer position. You will own the technical architecture and strategic direction of our entire GTM stack: designing the data flows, integration logic, enrichment workflows, and automation that connect our signals to our pipeline to our revenue. You will work at the intersection of Revenue Operations, data strategy, and GTM execution — reporting directly to the VP of Revenue Operations and partnering daily with Sales, Marketing, Customer Success, Finance and our Data Analytics team. You will make architectural decisions that have long-term consequences for how this organization scales, and you'll use AI-powered development tools alongside a small-but-mighty SFDC admin team to execute on those decisions. This is an individual contributor player/coach, builder-thinker role. The ideal candidate has a clear strategic vision for what a modern GTM stack should do, the judgment to sequence it correctly, and the learn-it-all mentality to go deep on any tool or integration that stands between the design and the outcome. This role will be based in our NYC HQ or remote in one of our approved hiring states (see details below). Eastern time zone is preferred, or flexibility to align to Eastern time zone generally. Travel to NYC HQ is expected once per quarter.

Requirements

6+ years in revenue technology, GTM operations, or a related technical business operations role — with demonstrated ownership of GTM systems architecture, not just administration
Deep Salesforce fluency: custom objects, flows, Apex classes, field-level data model design, and an intuition for what the CRM data model should look like to support the business — not just report building
Deep expertise in Salesforce Sales Cloud, Service Cloud, and Marketing Cloud; experience with Salesforce CPQ preferred
Solid understanding of Salesforce integration patterns and experience with APIs and integration tooling
Clear strategic thinking about GTM data flows: when presented with a business problem, your first instinct is to map where the data lives, where it needs to go, and what stands in the way
Strong working knowledge of iPaaS tools (Celigio, Workato, Boomi, n8n, or equivalent) — you've designed integrations even if you haven't always written every line of implementation code yourself
SQL proficiency sufficient to validate data, audit pipeline quality, and design logic for health score calculations; familiarity with Python or JavaScript a strong plus
Comfort with AI-powered development tools (Claude Code, Cursor, GitHub Copilot, or equivalent) — you use these to accelerate implementation
Excellent project management skills with the ability to manage multiple priorities and stakeholders simultaneously
Exceptional communication skills — you can translate between architecture and business outcomes and present your work clearly to VP and C-suite stakeholders

Nice To Haves

Familiarity with Gong (especially Engage and Forecast), Starbridge.ai, HockeyStack, or Clay — or strong analogues in conversation intelligence, intent signal capture, attribution, and AI enrichment
Experience designing customer health score architecture — composite models, weighted inputs, tiered outputs, and the renewal playbook logic that consumes them
Background in edtech, K-12, or public sector SaaS — district procurement cycles, PO-based purchasing, and multi-stakeholder buying motions are a meaningful context advantage
Experience working alongside data engineering or analytics teams to operationalize BI-calculated metrics into CRM systems (reverse ETL patterns, Celigio/Census writebacks)
Familiarity with dbt or similar data transformation tooling
Salesforce Administrator and/or Developer certifications
Experience managing external vendors, consultants, and implementation partners

Responsibilities

Design and own the integration architecture across our GTM stack: Salesforce (Sales, Marketing, and Service Cloud), Celigio iPaaS, Tableau, Gong, Starbridge.ai, HockeyStack, NetSuite, Mandrill, Appcues, and net-new tools as we evaluate and add them
Lead the consolidation of existing revenue technology tools, eliminating redundancies where they exist and ensuring seamless data flow across the stack
Make build-vs-buy decisions with clear reasoning — evaluate new tool additions against integration complexity, data hygiene risk, and existing stack overlap before committing
Own the integration map: a living document any team member can read and understand
Manage the technical components of the RevOps roadmap and the Salesforce development roadmap, prioritizing initiatives based on business impact and technical feasibility
Partner with our SFDC consultancy firm and leverage AI coding tools (Claude Code, Cursor, or equivalent) to implement the integrations and automations you design
Manage external vendors, consultants, and implementation partners where needed
Design, develop, and implement scalable Salesforce solutions that support the strategic goals of our GTM teams — including custom objects, flows, Apex classes, and field-level data model design
Own the full project implementation lifecycle from requirements gathering and solution design through build, QA, UAT coordination, and go-live
Translate complex business requirements from Sales, Marketing, CS, and Support into clear technical specifications and project plans
Stay current with Salesforce releases and industry best practices; recommend and implement new features as appropriate
Ensure data integrity and security across the Salesforce ecosystem
Design SF Flow automations that translate data signals into rep and CSM actions — score drops, renewal countdowns, engagement gaps
Own Gong Engage sequence infrastructure
Improve on and maintain product-triggered email logic in coordination with product and CS teams
Identify and implement automation opportunities that improve overall GTM efficiency
Partner with our Data Analytics team to design a customer health score model in Tableau; connect scores SF Flow and Gong playbook triggers to initiate workflows
Design and maintain additional enrichment pipelines - fed by Starbridge ICP signals - and lead the build out of GTM playbooks that turn data into action
Ensure HockeyStack attribution model captures full-funnel touchpoints from first signal through closed-won and renewal