This role is ideal for technical architects who don't just "code," but who understand how to build and connect complex systems (GHL, Twilio, Ads, Dashboards) to automate lead flow and maximize conversion. You must understand both technical execution and revenue logic to ensure the systems you build actually drive growth.

Work Model: Remote | Full-Time (8 hours/day minimum)

What You’ll Own

• Build & Connect Growth Stacks: Architect end-to-end systems including GoHighLevel (GHL), Twilio, and CRM integrations.
• Automate Lead Flow: Design and execute technical workflows that convert outbound traffic into revenue opportunities.
• System Optimization: Debug and optimize the entire technical system to ensure zero leakage in the lead-to-revenue funnel.
• Technical Implementation: Deliver high-impact, ROI-focused system demonstrations to founders.
• CRM & Data Management: Ensure data flows correctly between marketing tools and sales dashboards for accurate reporting.
• Maintain System Health: Provide structured end-of-day reporting on system performance and automation stability.
• Partner with Client Success: Work alongside consultants to translate business ideas into functional, AI-powered technical realities.

Requirements

Experience

• 3–5+ years of proven experience building GTM (Go-To-Market) systems or RevOps.
• Expert-level mastery of GoHighLevel (GHL) and Make/Zapier (Mandatory).
• Proven experience connecting technical tools (Twilio, Apollo, Ads) to drive business outcomes.
• Experience working with mid-to-high-ticket service businesses.
• Experience in a fast-paced, aggressively growing startup environment.

Skills

• Fluent English (A Must Have).
• Technical Problem-Solver: Able to uncover system "red flags" and debug complex integration errors independently.
• Commercially Strong: Understands business models, ROI, and how technical builds impact a founder’s bottom line.
• Systems Thinking: Able to manage multiple client contexts and niches simultaneously without losing focus.
• Strong Documentation: Clear written communication for handing off technical builds to internal teams.

Mindset

• Extreme Ownership: Takes full responsibility for the stability and success of the build.
• Efficiency-Driven: Focused on building scalable systems that work without constant manual intervention.
• High Technical Resilience: Thrives under the pressure of a scaling global business.
• Continuous Learner: Stays at the forefront of AI automations and prompt engineering.

Success Metrics

• 100% Build Accuracy: Systems are delivered to clients without technical errors or broken links.
• 95%+ Automation Uptime: Lead flows and conversion triggers run without interruption.
• Lead-to-Revenue Efficiency: Significant reduction in manual tasks for clients via your automations.
• Fast Implementation Cycles: Meeting delivery deadlines for growth system deployments.
• System Scalability: Infrastructure remains stable as lead volume increases.

Benefits

**Why This Role Stands Out

• Competitive full-time compensation
• Fully remote flexibility
• Direct impact on revenue growth
• Work alongside experienced commercial leaders
• Operate in a high-performance sales culture
• Significant upside for top performers
• Long-term growth within a scaling global business

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This role is ideal for technical architects who don't just 'code,' but who understand how to build and connect complex systems (GHL, Twilio, Ads, Dashboards) to automate lead flow and maximize conversion. You must understand both technical execution and revenue logic to ensure the systems you build actually drive growth.

Work Model: Remote | Full-Time (8 hours/day minimum)

What You’ll Own

• Build & Connect Growth Stacks: Architect end-to-end systems including GoHighLevel (GHL), Twilio, and CRM integrations.
• Automate Lead Flow: Design and execute technical workflows that convert outbound traffic into revenue opportunities.
• System Optimization: Debug and optimize the entire technical system to ensure zero leakage in the lead-to-revenue funnel.
• Technical Implementation: Deliver high-impact, ROI-focused system demonstrations to founders.
• CRM & Data Management: Ensure data flows correctly between marketing tools and sales dashboards for accurate reporting.
• Maintain System Health: Provide structured end-of-day reporting on system performance and automation stability.
• Partner with Client Success: Work alongside consultants to translate business ideas into functional, AI-powered technical realities.

Requirements

Experience

• 3–5+ years of proven experience building GTM (Go-To-Market) systems or RevOps.
• Expert-level mastery of GoHighLevel (GHL) and Make/Zapier (Mandatory).
• Proven experience connecting technical tools (Twilio, Apollo, Ads) to drive business outcomes.
• Experience working with mid-to-high-ticket service businesses.
• Experience in a fast-paced, aggressively growing startup environment.

Skills

• Fluent English (A Must Have).
• Technical Problem-Solver: Able to uncover system 'red flags' and debug complex integration errors independently.
• Commercially Strong: Understands business models, ROI, and how technical builds impact a founder's bottom line.
• Systems Thinking: Able to manage multiple client contexts and niches simultaneously without losing focus.
• Strong Documentation: Clear written communication for handing off technical builds to internal teams.

Mindset

• Extreme Ownership: Takes full responsibility for the stability and success of the build.
• Efficiency-Driven: Focused on building scalable systems that work without constant manual intervention.
• High Technical Resilience: Thrives under the pressure of a scaling global business.
• Continuous Learner: Stays at the forefront of AI automations and prompt engineering.

Success Metrics

• 100% Build Accuracy: Systems are delivered to clients without technical errors or broken links.
• 95%+ Automation Uptime: Lead flows and conversion triggers run without interruption.
• Lead-to-Revenue Efficiency: Significant reduction in manual tasks for clients via your automations.
• Fast Implementation Cycles: Meeting delivery deadlines for growth system deployments.
• System Scalability: Infrastructure remains stable as lead volume increases.

Benefits

**Why This Role Stands Out

• Competitive full-time compensation
• Fully remote flexibility
• Direct impact on revenue growth
• Work alongside experienced commercial leaders
• Operate in a high-performance sales culture
• Significant upside for top performers
• Long-term growth within a scaling global business

XML job scraping automation by YubHub

This role is ideal for technical architects who don't just "code," but who understand how to build and connect complex systems (GHL, Twilio, Ads, Dashboards) to automate lead flow and maximize conversion. You must understand both technical execution and revenue logic to ensure the systems you build actually drive growth.

As a Growth Systems Engineer, you will:

• Build & Connect Growth Stacks: Architect end-to-end systems including GoHighLevel (GHL), Twilio, and CRM integrations.
• Automate Lead Flow: Design and execute technical workflows that convert outbound traffic into revenue opportunities.
• System Optimization: Debug and optimize the entire technical system to ensure zero leakage in the lead-to-revenue funnel.
• Technical Implementation: Deliver high-impact, ROI-focused system demonstrations to founders.
• CRM & Data Management: Ensure data flows correctly between marketing tools and sales dashboards for accurate reporting.
• Maintain System Health: Provide structured end-of-day reporting on system performance and automation stability.
• Partner with Client Success: Work alongside consultants to translate business ideas into functional, AI-powered technical realities.

Requirements:

• 3–5+ years of proven experience building GTM (Go-To-Market) systems or RevOps.
• Expert-level mastery of GoHighLevel (GHL) and Make/Zapier (Mandatory).
• Proven experience connecting technical tools (Twilio, Apollo, Ads) to drive business outcomes.
• Experience working with mid-to-high-ticket service businesses.
• Experience in a fast-paced, aggressively growing startup environment.

Skills:

• Fluent English (A Must Have).
• Technical Problem-Solver: Able to uncover system "red flags" and debug complex integration errors independently.
• Commercially Strong: Understands business models, ROI, and how technical builds impact a founder's bottom line.
• Systems Thinking: Able to manage multiple client contexts and niches simultaneously without losing focus.
• Strong Documentation: Clear written communication for handing off technical builds to internal teams.

Mindset:

• Extreme Ownership: Takes full responsibility for the stability and success of the build.
• Efficiency-Driven: Focused on building scalable systems that work without constant manual intervention.
• High Technical Resilience: Thrives under the pressure of a scaling global business.
• Continuous Learner: Stays at the forefront of AI automations and prompt engineering.

Success Metrics:

• 100% Build Accuracy: Systems are delivered to clients without technical errors or broken links.
• 95%+ Automation Uptime: Lead flows and conversion triggers run without interruption.
• Lead-to-Revenue Efficiency: Significant reduction in manual tasks for clients via your automations.
• Fast Implementation Cycles: Meeting delivery deadlines for growth system deployments.
• System Scalability: Infrastructure remains stable as lead volume increases.

Benefits:

• Competitive full-time compensation
• Fully remote flexibility
• Direct impact on revenue growth
• Work alongside experienced commercial leaders
• Operate in a high-performance sales culture
• Significant upside for top performers
• Long-term growth within a scaling global business

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Responsibilities:

• Partner with activations and sales leadership to develop GTM strategy, motions, and sector focus and strategy. Refine GTM strategies across key product and segmentation verticals
• Identify customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, sales, engineering, finance, legal etc.
• Build and maintain customer value propositions, use cases, and activations playbooks
• Drive territory and account segmentation strategies based on customer characteristics, existing spend and opportunity
• Establish industry benchmarks and best practices to guide activations approach and prioritization
• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions
• Drive quarterly, semi-annual, and annual planning cycles for sales-aligned GTM segments
• Analyze activations metrics and activation / adoption potential to develop proactive insights and actions
• Partner with Activations leadership to evolve activations and consumption motions and industry best practices based on vertical nuances
• Continuously evaluate market opportunities, competitive positioning, and whitespace within target segments

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Enablement, Strategic Finance, Product, and Marketing teams to ensure activations alignment
• Work with Product teams to communicate customer-specific feature requirements and market feedback
• Prepare executive-level materials including business performance reviews, strategic planning sessions, and board updates
• Drive alignment across teams to ensure consistent execution of customer-specific go-to-market strategies
• Partner with Marketing on customer-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex activations deployments and adoption cycles
• Execute critical processes including strategic account transitions from closed-won to activated, CRM configurations, and segment data management
• Optimize activations technology stack and ensure effective adoption of Salesforce and other sales tools
• Establish activations process methodology, qualification criteria, and activation stage definitions for consistent execution that drive adoption and expansion
• Ensure smooth operations across complex, multi-stakeholder activations motions typical in enterprise B2B software

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In this role, you'll:

• Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads.
• Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
• Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets.
• Monitor, test, and improve data quality, model performance, latency, and cost.
• Partner with product, data science, and security teams to ship resilient, compliant services.
• Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices.
• Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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In this role, you'll:

Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads. Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling. Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets. Monitor, test, and improve data quality, model performance, latency, and cost. Partner with product, data science, and security teams to ship resilient, compliant services. Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. Embrace Twilio's 'We are Builders' values by taking ownership of problems and driving them to completion.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack,including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks.

You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem,including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations,to ensure a best-in-class, scalable, and reliable infrastructure.

• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.

• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.

• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.

• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.

• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.

• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com , including qualification logic, routing workflows, data capture, and integration with downstream teams.

Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.

• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.

• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.

• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.

• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.

• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.

• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.

• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences,including qualification, routing, data models, and workflows,even when operational ownership is distributed across teams.

• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).

• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.

• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.

• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.

• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.

• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.

• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.

• Understanding of digital identity verification steps and risk-aware conversion optimization.

• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).

• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370. 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.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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Zuma is pioneering the future of agentic AI in property management. We build AI agents that act as property managers, handling the full spectrum of interactions with both prospects and current residents on behalf of our clients.

Our agents don’t just assist human workflows; they own them end-to-end, operating across leasing, collections and resident communications. Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.

This is a rare chance to shape the future of how an entire industry operates , not in theory, but in production, at scale, touching real customers and physical assets every day. At Zuma, human and AI agents work side by side, and you'll help define what that collaboration looks like at its best.

Responsibilities

• Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling.

• Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production.

• Define the technical patterns and standards for how software is built across the engineering org , you will be setting the playbook others follow.

• Strengthen our core systems , including our onboarding/configuration system, integration frameworks, and AI performance analytics infrastructure.

• Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence.

• Own system reliability, observability, and continuous improvement , defining how we measure, monitor, and iterate on our agents and web products in production.

• Work across the stack (backend services, LLM orchestration, integrations, data pipelines, frontends) to ship agents and products that are robust and scalable.

• Tame legacy code and lay down new foundations , patterns and architecture you create will be inherited by the engineers who come after you.

• Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront.

Nice to Have

• Prior experience at a startup or high-growth company; comfort shipping fast and iterating in production.

• AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops.

• Background in building self-serve platforms or integration infrastructure.

• Experience with workflow automation platforms or business process orchestration.

• Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels.

• Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems.

• Classical ML experience , supervised/unsupervised learning, feature engineering, model training and evaluation outside of LLM contexts.

Our Stack

• Python, TypeScript/Node.js

• OpenAI, Anthropic

• LangGraph, OpenAI Agents SDK, custom orchestration layers

• AWS, AWS ECS, PostgreSQL, Redis

• RealPage, Entrata, Yardi, and other property management systems

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