Engineering Manager, GTM Engineering
Leads engineering team building GTM surfaces like Brex.com, marketing apps, and AI systems to optimize sales/marketing efficiency. Requires 6+ years software engineering, 3+ years managing engineers, strong frontend/backend skills, and bachelor's/master's in CS.
About the job
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Skills
JavaScript, React, Node.js, Python, AI, CI/CD, Kubernetes, Marketing Automation, Analytics, Observability
Similar jobs
Engineering Management jobs
Sift
San Francisco, CALeads and grows the ML Platform team responsible for training, evaluating, and serving production machine-learning models. The role requires 8+ years of engineering experience, 4+ years managing engineering teams, strong ML systems expertise, and customer-facing technical leadership.
Zoox
Foster City, CA
Leads a mixed software and ML engineering team building simulation, scenario authoring, generative modeling, and agentic tools for autonomous vehicle validation. The role owns technical direction, cross-functional delivery, team development, and generative scenario creation at company scale.
Airtable
San Francisco, CALeads engineering team building AI governance and enterprise trust systems for Airtable's largest customers. Requires 7+ years experience (5+ engineering, 2+ management), complex systems expertise, and team leadership in fast-paced environments.
DAT Freight & Analytics
Seattle, WA
Leads the Fintech Platform engineering team building reliable ledger, payments, and banking-integration systems for trucking businesses. Requires 10+ years of software engineering experience, technical people management, payments expertise, and experience operating critical systems of record.
Checkr
San Francisco, CA
Leads a team of approximately eight engineers building mortgage income and employment verification systems, including APIs, integrations, AI/ML models, and customer-facing experiences. Requires substantial engineering and management experience, strong architecture judgment, incident leadership, and experience with regulated products.