VOLT AI Logo

VOLT AI

GTM Engineer (Growth & Revenue Automation)

Posted 2 Days Ago
Be an Early Applicant
In-Office or Remote
7 Locations
120K-150K Annually
Senior level
In-Office or Remote
7 Locations
120K-150K Annually
Senior level
The GTM Engineer will design, build, and automate systems for go-to-market strategies using coding, data integration, and analytics.
The summary above was generated by AI
VOLT AI is looking for a GTM Engineer to design, build, and automate the systems that power our go-to-market motion.
This is a technical role, not a traditional marketing or RevOps position. You will apply software engineering, data, and automation to scale how we generate demand, qualify leads, convert pipeline, and learn from customer interactions.
You will work across CRM systems, marketing platforms, data pipelines, and the website to build end-to-end GTM automation—from first touch through revenue and expansion.
This role is ideal for someone who enjoys engineering leverage into sales and marketing systems and wants to build scalable, measurable GTM infrastructure.

Key Responsibilities

  • Own CRM data integrity, including custom objects and integrations, pipeline hygiene, attribution and reporting accuracy, and integration with marketing, product, and analytics systems
  • Develop internal GTM tooling using code and automation, including APIs, webhooks, and event-driven integrations, Python and scripting for data processing and automation, and automation that reduces manual work for sales and marketing teams
  • Integrate product usage and behavioral data into GTM systems to improve customer delight and retention, trigger contextual outreach and follow-ups, and support expansion and upsell workflows
  • Build dashboards and analytics that provide funnel visibility from lead to revenue, conversion, velocity, and drop-off insights, and feedback loops for continuous GTM optimization
  • Partner closely with sales, marketing, and product to translate GTM strategy into automated systems, rapidly test and iterate on GTM experiments, and scale what works while eliminating manual or low-leverage processes

Required Qualifications

  • 5+ years of experience in GTM Engineering, Growth Engineering, or Automation Engineering
  • Strong engineering mindset with hands-on coding experience
  • Proficiency in Python, JavaScript, or similar languages for automation
  • Experience working with CRMs (e.g., HubSpot, Salesforce) at a systems level
  • Experience integrating CRM, enrichment platforms (e.g., Clay, Apollo), and analytics systems
  • Strong understanding of data flows, APIs, and event-driven systems
  • Ability to work cross-functionally with sales, marketing, and product teams

Preferred Qualifications

  • Experience with HubSpot CRM platform
  • Experience with marketing automation tools and analytics platforms
  • Experience building or optimizing high-conversion websites
  • Background in growth engineering or data-driven marketing
  • Experience in B2B SaaS or enterprise GTM environments
  • Comfort operating in fast-moving startup environments

What Success Looks Like

  • GTM systems are integrated, workflows are automated, reliable, and scalable
  • Sales and marketing teams spend less time on manual tasks
  • Funnel performance and attribution are clearly visible and trusted
  • Conversion rates and pipeline velocity improve measurably
  • GTM systems become a competitive advantage for VOLT AI

At VOLT AI, you’ll apply engineering leverage to revenue generation, building systems that directly impact growth and scale.This role is for someone who wants to build GTM infrastructure, not just manage tools, and who believes GTM systems deserve the same engineering rigor as product systems.

Top Skills

APIs
JavaScript
Python

Similar Jobs

15 Minutes Ago
Remote
Canada
190K-258K Annually
Senior level
190K-258K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Design and develop scalable user-friendly experiences, manage projects from conception to deployment, and enhance product features with AI capabilities.
Top Skills: AngularCSSHTMLJavaScriptMongoDBMySQLNode.jsPostgresPythonReact
18 Minutes Ago
Easy Apply
Remote
Canada
Easy Apply
218K-218K Annually
Senior level
218K-218K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Staff Software Engineer will architect and develop distributed systems, manage projects, mentor team members, and implement infrastructure components for risk management at Coinbase.
Top Skills: DockerGoPostgresRuby on RailsRubySinatra
2 Hours Ago
Easy Apply
In-Office or Remote
3 Locations
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
As a Staff Frontend Engineer, lead frontend architecture using Vue.js while shaping collaborative tools, mentoring engineers, and enhancing knowledge management features at GitLab.
Top Skills: GraphQLProsemirrorTiptapVue

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account