Manager, GTM Tech Stack

About Nintex:

At Nintex, we are transforming the way people work, everywhere.

As the global standard for process intelligence and automation, we're trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.

We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.

About the role:

This role is responsible for architecting, optimizing, automating, and scaling the company’s go-to-market (GTM) systems infrastructure and AI-enabled workflows. The Manager, GTM Systems Engineering will serve as both a strategic systems operator and hands-on builder, owning the design and execution of integrated workflows across the revenue engine.

This individual is expected to operate with a high degree of autonomy and technical fluency, combining GTM business acumen with engineering capability to improve revenue throughput, operational efficiency, forecasting accuracy, and execution quality across Sales, Marketing, Customer Success, Channel, and Professional Services.

The role will lead the evolution of the company’s GTM technology ecosystem from legacy administration toward intelligent, AI-driven systems orchestration. This includes developing AI-enabled workflows, designing automation frameworks, integrating telemetry and external data sources, piloting emerging technologies, and scaling operational solutions from proof-of-concept through production deployment.

The ideal candidate is an agile systems thinker with strong execution discipline, capable of managing both existing GTM infrastructure and next-generation AI tooling while driving measurable business outcomes.

Your contribution will be: 

GTM Systems Architecture & Optimization

• Own administration, optimization, and scalability of the GTM technology stack.

• Design and maintain integrated workflows across Salesforce and adjacent GTM platforms.

• Identify operational bottlenecks and implement systems improvements that increase revenue throughput and execution efficiency.

• Drive revenue architecture initiatives that improve pipeline velocity, forecasting quality, customer retention, and expansion performance.

AI Workflow Engineering & Automation

• Design, build, and deploy AI-driven workflows that improve GTM execution and reduce manual operational overhead.

• Develop scripts, automations, and orchestration logic connecting structured and unstructured GTM data sources.

• Pilot, prototype, and scale AI-enabled operational use cases from ideation through production implementation.

Revenue Operations Enablement

• Enable Sales, Marketing, Customer Success, Channel, and Professional Services teams with scalable systems and actionable data infrastructure.

• Improve visibility into pipeline performance, activity effectiveness, operational health, and forecasting accuracy.

Cross-Functional Systems Leadership

• Coordinate cross-functional GTM systems initiatives across technical and business stakeholders.

• Translate operational requirements into scalable technical solutions.

• Manage competing priorities across strategic projects, operational support, and systems enhancement workstreams.

Process Engineering & Continuous Improvement

• Establish operational rigor around workflow documentation, systems governance, and process optimization.

• Continuously assess emerging GTM technologies and recommend adoption opportunities.

To be successful, we think you need: 

• Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Engineering, or equivalent experience preferred
• 5+ years of experience in Revenue Operations, GTM Systems, Sales Operations, or Business Systems Engineering
• Demonstrated experience designing and managing complex GTM technology ecosystems
• Strong hands-on experience building automation workflows and integrating business systems
• Experience implementing or operationalizing AI-enabled workflows within GTM or operational environments

What’s in it for you?

While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including

• Global Gratitude and Recharge Days
• Flexible, paid time off policy
• Employee wellness programs and counseling resources
• Meaningful peer recognition and awards
• Paid parental leave
• Invention/patenting assistance
• Community impact, paid volunteer time, and opportunities
• Intercultural learning and celebration
• Multiple tools through which to learn and grow, and an incredible global community

View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.

Target Compensation Range (US ONLY): 120,000 - 135,000 USD annually. On target compensation refers to the base salary and applicable variable target for this role. The range is an estimate, base pay will ultimately be decided at the offer stage, based on an individual candidate's skills and experience aligned with the needs of the role. Base pay may vary based on several factors including geographic location, role specific qualifications, and seniority. Nintex also offers a competitive benefits package including paid time off, twelve paid holidays, 401(k) with employer match, and more.

Nintex participates in E-Verify for work authorization. We are an Equal Employment Opportunity Organization.