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Gtm Engineer Jobs in Texas (NOW HIRING)

Qualia

Senior GTM Systems Analyst

Austin, TX · On-site

$80 - $100/hr

You'll administer Salesforce alongside our GTM Systems Lead and partner closely with GTM Engineering. You'll work alongside the Ops Analysts, the interface to the GTM teams, to ensure each ...

NTT DATA, Inc.

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site

$121 - $280/hr

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). NTT DATA is a trusted global innovator of business and technology services ...

Fivetran, Inc.

Director, GTM Strategy & Planning

Austin, TX · On-site

$168.67 - $210.84/hr

... with no engineering or maintenance required. We're proud that more organizations continue to ... We're looking for a Director, GTM Strategy & Planning to lead the team responsible for Fivetran ...

NTT DATA, Inc.

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site

$121K - $280K/yr

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US). Forward-Deployed Engineer (FDE) - Manager NTT DATA is a trusted global ...

Acuity Brands, Inc.

Director GTM Technology

Dallas, TX · On-site

We are seeking a Director, GTM Technology to lead the strategy, architecture, and execution of this ... Build and lead a small, high-leverage team of technical and functional talent - admins, developers ...

Acuity Brands

Director GTM Technology

Dallas, TX · On-site

We are seeking a Director, GTM Technology to lead the strategy, architecture, and execution of this ... Build and lead a small, high-leverage team of technical and functional talent - admins, developers ...

Tavily Inc

Sr. Manager, GTM Enablement

Austin, TX · On-site

By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that ... The Role Job Title: Sr. Manager, GTM Enablement Location: Remote / Austin, Texas Work Type: Remote ...

Gong.io

GTM AI Architect

Austin, TX · On-site

$138K - $210K/yr

As a GTM AI Architect, you'll identify high-leverage opportunities to improve GTM productivity, then scope, design, build, and implement those solutions alongside a GTM AI Engineer. Your role is to ...

Fivetran

Director, GTM Strategy & Planning

Austin, TX · On-site

... engineering, helping teams transform data into reliable, governed insights. Together, we support ... We're looking for a Director, GTM Strategy & Planning to lead the team responsible for Fivetran ...

Digital Realty

ABM & Activation Strategy Lead

Dallas, TX · On-site

$43K - $56K/yr

This is a builder's role as much as a strategist's: you will design the scoring and activation architecture, then work hand-in-hand with our GTM Engineering partners to implement it in our core ...

Braze

Applied AI Architect, GTM

Austin, TX

We treat GTM practitioners as users and their workflows as product surfaces. We build agents ... Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and ...

King River Capital Group

GTM Director

Austin, TX · On-site

$200 - $300/hr

Translate customer conversations into strategic insights for Product and Engineering. What You'll Bring: * Experience: 3-5 years in top-tier management consulting (McKinsey, Bain, BCG), strategy, GTM ...

Braze

Applied AI Architect, GTM

Austin, TX · On-site

We treat GTM practitioners as users and their workflows as product surfaces. We build agents ... Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and ...

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Gtm Engineer information

See Texas salary details

$64.8K

$88.1K

$118.8K

How much do gtm engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for gtm engineer in Texas is $88,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a GTM engineer?

A GTM (Go-to-Market) Engineer is a professional who bridges the gap between technical product development and commercial teams. GTM Engineers work closely with sales, marketing, and product teams to ensure new products or features are successfully launched and adopted in the market. They help translate technical capabilities into customer benefits, provide technical expertise during sales cycles, and may assist with product demonstrations, solution architecture, and customer feedback. Their goal is to accelerate product adoption and support revenue growth through technical enablement.

What are the key skills and qualifications needed to thrive as a GTM engineer?

To excel as a GTM Engineer, you need a solid background in software engineering, product management, and business acumen, often with a degree in computer science or a related field. Familiarity with customer relationship management (CRM) platforms, cloud services, APIs, and analytics tools is commonly required. Strong communication, problem-solving, and stakeholder management skills help bridge technical and business teams effectively. Mastering these areas ensures successful product launches, customer satisfaction, and alignment between technical solutions and market needs.

What are some typical challenges a GTM engineer faces when integrating new products into existing sales and marketing workflows?

A GTM Engineer often encounters challenges such as aligning technical product features with the needs of the sales and marketing teams, ensuring seamless data flow between tools (like CRMs and marketing automation platforms), and translating complex product capabilities into clear value propositions. Additionally, they must anticipate and resolve compatibility or scalability issues that could impact go-to-market strategies. Collaborating closely with cross-functional teams and maintaining open communication is key to overcoming these hurdles and ensuring successful product launches.

What is the difference between Gtm Engineer vs Data Engineer?

AspectGtm EngineerData Engineer
CredentialsBachelor's in CS or related field, certifications in marketing analytics or cloud platformsBachelor's in CS, Data Science, or related field, certifications in data management or cloud platforms
Work EnvironmentMarketing teams, analytics, and advertising platformsData teams, data warehouses, and backend systems
Industry UsageAdvertising, marketing, e-commerceTech, finance, healthcare, any data-driven industry

While both roles involve working with data, Gtm Engineers focus on implementing marketing and analytics tools for growth and tracking, whereas Data Engineers build and maintain data pipelines and infrastructure. Understanding these differences helps organizations assign the right skills to each role.

Is a Gtm Engineer a good career?

A Gtm Engineer specializes in implementing and optimizing go-to-market strategies using tools like marketing automation and analytics platforms. The role offers opportunities for growth in marketing technology, data analysis, and cross-functional collaboration, often requiring skills in programming, data management, and marketing tools. It can be a rewarding career for those interested in technology-driven marketing and strategic planning.

What do Gtm engineers do?

GTM (Go-to-Market) engineers develop and implement technical solutions to support product launches, sales, and marketing strategies. They often work with tools like CRM systems, analytics platforms, and automation software to optimize customer engagement and revenue growth. Strong coding skills and understanding of business processes are essential for this role.

What are popular job titles related to Gtm Engineer jobs in Texas?

For Gtm Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Gtm Engineer jobs in Texas look for?

The top searched job categories for Gtm Engineer jobs in Texas are:

What cities in Texas are hiring for Gtm Engineer jobs?

Cities in Texas with the most Gtm Engineer job openings:

Gtm Engineer jobs near you
Infographic showing various Gtm Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $88,110 per year, or $42.4 per hour.

Staff Engineer, GTM AI

Procore Technologies, Inc.

Austin, TX • On-site

Full-time

Re-posted 7 days ago

Job description

We are seeking a Staff Engineer, GTM AI to serve as the senior technical leader responsible for defining and executing the long-term platform strategy for the AI systems that power our go-to-market organization. This role will directly shape how we use data and AI to improve customer and account health visibility, and drive long-term customer value through increased engagement, adoption, and retention.
You will work from a clear vision of the desired future state and methodically guide systems toward that outcome through deliberate architectural decisions and pragmatic, iterative execution. As the company accelerates investment in AI, you will play a pivotal role in defining how AI capabilities are designed, governed, scaled, and embedded into core GTM workflows in a secure, reliable, and cost-effective manner.
You'll set the highest engineering standards and act as the strategic technical guide for the team - ensuring that rapid innovation in the application pods never compromises the long-term integrity of the core platform. This is the role that ensures we can scale from one track to three without breaking what already works.
Responsibilities
  • At Procore, AI isn't a specialized tool, it's a core competency. We expect every team member to be AI-literate, leveraging generative tools and agentic workflows to move faster and work smarter. You won't just use AI; you'll be building the agentic future of construction.
  • Architectural Ownership: Serve as the technical authority for the AI platform, owning architectural direction and long-term system health across multiple business functions. Translate strategic business priorities into scalable architectures that support sustained growth and enterprise adoption.
  • Platform Evolution: Define and evolve the architecture of our data and AI platform - including data processing pipelines, integration layers, and the services that power real-time account intelligence.
  • AI Governance: Define standards for AI service governance, evaluation, observability, performance, and cost management. Ensure AI capabilities are production-grade, auditable, and trustworthy.
  • Technical Leadership: Act as a hands-on technical leader - contributing high-leverage code, mentoring, and raising execution standards across the organization. Guide engineers so that rapid prototyping is built on a sound, scalable foundation.
  • Data Integrity: Own the "Golden Record" strategy - the system of record for account intelligence across the full revenue lifecycle. Establish durable data modeling standards to ensure consistency and long-term maintainability.
  • Risk Anticipation: Anticipate structural and scaling risks, and guide systems toward the desired future state through deliberate, iterative modernization - before problems become visible to users.

Engineering Outcomes You'll Own
  • Scalability: The platform grows from one use case to many without regressions, outages, or loss of data fidelity. New capabilities ship on top of a foundation that holds.
  • Earned Trust: Users and leadership trust the AI's outputs because the underlying systems are provably accurate, auditable, and consistent. Trust is an engineering outcome, not a marketing one.
  • Team Leverage: The architecture enables engineers with less context to build and ship safely. Good abstractions, clear boundaries, and well-designed interfaces multiply the output of every person on the team.
  • Sustainable Velocity: Rapid prototyping in the pods doesn't accumulate hidden costs. The platform absorbs complexity so the rest of the team can stay fast.

Requirements
  • 6-8+ years of software engineering experience, with a proven track record of owning complex system architectures.
  • Deep expertise building secure, scalable enterprise platforms, with proven experience designing strictly idempotent APIs for high-throughput distributed systems.
  • Strong focus on system reliability, observability, and engineering excellence.
  • Ability to communicate complex architectural decisions clearly to both technical teams and executive leadership.
  • Experience leading or mentoring engineering teams through rapid scaling phases.
  • Fluency in Python and modern cloud infrastructure (AWS, PostgreSQL, event-driven architectures).
  • Strong systems thinking and the ability to balance speed with maintainability.

Nice to Have
  • Experience building AI/ML platforms or systems that serve real-time insights to business users.
  • Background in revenue technology, CRM platforms, or enterprise GTM systems.
  • Track record of building systems that maintain trust and accuracy as they scale - not just systems that handle load.
  • Experience implementing data governance, validation, and monitoring frameworks across business-critical systems.
  • Familiarity with AI evaluation frameworks and quality assurance for LLM-powered outputs.

Additional Information
Base Pay Range:
168,560.00 - 231,770.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.
For Los Angeles County (unincorporated) Candidates:
Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

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