Kintsugi AI, Inc. Logo

Kintsugi AI, Inc.

GTM Engineer (Tooling & Automations)

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
120K-165K Annually
Mid level
Remote
Hiring Remotely in United States
120K-165K Annually
Mid level
Build and maintain GTM infrastructure and integrations to support Sales, Marketing, and Customer Success. Automate workflows, ensure data hygiene, create reporting pipelines/dashboards, and partner with RevOps and GTM leaders to translate business needs into scalable technical solutions.
The summary above was generated by AI
GTM Engineer Location: Remote (But US hours)
Company: trykintsugi.com

About Kintsugi

Kintsugi is revolutionizing sales tax automation with our AI-powered platform designed specifically for e-commerce and SaaS businesses. Our solution reduces tax preparation time by 75% and cuts compliance costs by 50%, allowing finance teams to focus on strategic initiatives rather than routine calculations. As we continue to grow and disrupt the tax automation space, we're looking for a GTM Engineer to scale our market presence.

The Role

The GTM Engineer will be responsible for designing, building, and maintaining the internal infrastructure that supports Sales, Marketing, and Customer Success. You’ll act as the technical backbone of our GTM org, automating workflows, ensuring data integrity, and building integrations across our tools to create leverage for the entire business.

This role sits at the intersection of engineering and revenue operations, ideal for someone who loves building systems that directly drive business outcomes.

What You’ll Do
  • Own and optimize our GTM tooling stack (CRM, marketing automation, data warehouse, reporting dashboards, etc.).

  • Build and maintain integrations between SaaS tools

  • Automate workflows that reduce manual work for sales/marketing teams.

  • Ensure data hygiene, enrichment, and consistency across all GTM systems.

  • Partner with RevOps, Sales, and Marketing leaders to translate business needs into scalable technical solutions.

  • Build reporting pipelines and dashboards to provide visibility into GTM performance.

  • Act as the go-to resource for technical troubleshooting, enhancements, and new GTM tool evaluations.

What We’re Looking For
  • Technical skills: Strong proficiency with APIs, scripting (Python, JavaScript, or similar), and SQL.

  • Systems mindset: Experience with GTM SaaS tools like HubSpot, Orum, Outreach, ZoomInfo, Fireflies, Databricks etc.

  • Automation-first approach: Comfort with tools like Zapier, Workato, Tray.io, or custom-built automations.

  • Business fluency: Ability to understand GTM workflows (lead routing, pipeline management, campaign tracking, etc.) and translate them into technical systems.

  • Problem-solver: Excited to optimize, streamline, and remove friction from day-to-day GTM operations.

  • Bonus: Prior startup experience or exposure to RevOps functions.

Why Join Us
  • Direct impact: Your work will immediately shape how our GTM engine operates.

  • Startup ownership: High visibility and influence in a growing team.

  • Competitive comp + equity.

  • Remote-first flexibility.

Similar Jobs

58 Minutes Ago
Remote or Hybrid
Denver, CO, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads post-sales success for strategic enterprise accounts, partnering with C-level executives to drive digital transformation, adoption, renewals, customer satisfaction, and expansion. The role establishes success metrics, mitigates risks, coordinates cross-functional teams and partners, guides Customer Success teams, and develops scalable processes and business transformation strategies.
Top Skills: Artificial IntelligenceCloud ComputingEnterprise SoftwareSaaSServicenow
An Hour Ago
Remote or Hybrid
100K-150K Annually
Mid level
100K-150K Annually
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Software
Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.
Top Skills: C++GazeboGitMujocoPythonRosRos2
An Hour Ago
Remote or Hybrid
202K-275K Annually
Senior level
202K-275K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills.
Top Skills: A/B TestingCausal InferenceClaude CodeCodexDatabricksMachine LearningPythonSQLStatsig

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account