GTM Engineer

About The Role

We're looking for a GTM Engineer to build the systems, automation, and intelligence that power HyperOrbit's go-to-market engine.

You'll work at the intersection of engineering, sales, marketing, data, and AI—building the infrastructure that helps us identify the right customers, understand them deeply, engage them with relevance, and convert interest into revenue.

This is not a traditional sales or marketing role. You'll use code, AI agents, APIs, automation, and data to design and scale repeatable GTM systems.

This role is critical to our mission of building an AI-native company—not just in the product we sell, but in how we acquire, engage, and serve customers.

What You'll Build

GTM Infrastructure

• Build the technical infrastructure powering HyperOrbit's sales and marketing workflows
• Design automated systems for prospecting, enrichment, outreach, and pipeline management
• Connect CRM, marketing, sales engagement, and product data into unified workflows
• Build internal tools that help GTM teams move faster and make better decisions
• Create scalable systems that turn manual GTM processes into automated workflows

AI-Powered Prospecting

• Build AI agents that research accounts, identify prospects, and surface buying signals
• Develop automated account intelligence workflows
• Create systems for lead scoring, prioritization, and qualification
• Build AI-powered personalization engines for outbound campaigns
• Develop workflows that continuously enrich and update prospect data

Outbound & Revenue Automation

• Build systems supporting multi-channel outbound campaigns
• Automate prospect research, list building, enrichment, and personalization
• Create intelligent workflows for follow-ups and next-best actions
• Build trigger-based campaigns based on company news, hiring, funding, product activity, and other signals
• Develop systems that help sales teams prioritize the highest-value opportunities

GTM Data & Intelligence

• Build unified data models across prospects, accounts, contacts, campaigns, and opportunities
• Create dashboards tracking pipeline, conversion, and GTM performance
• Build data pipelines connecting CRM, product, and marketing data
• Develop account scoring and segmentation models
• Identify patterns and insights that improve targeting and conversion

GTM Experiments

• Rapidly prototype and test new acquisition and pipeline-generation ideas
• Build infrastructure for measuring GTM experiments
• Run experiments across ICPs, messaging, channels, and workflows
• Analyze results and turn successful experiments into repeatable systems
• Continuously identify bottlenecks across the GTM funnel

Responsibilities

GTM Systems Engineering

• Design, build, and maintain systems supporting HyperOrbit's go-to-market motion
• Integrate sales, marketing, CRM, and data tools through APIs and webhooks
• Build internal applications and automation workflows
• Ensure GTM systems are reliable, scalable, and easy to operate
• Reduce manual work through intelligent automation

AI & Agent Development

• Build AI agents for account research, prospecting, qualification, and personalization
• Implement LLM-powered workflows using structured outputs and tool calling
• Create agent workflows that interact with CRM and GTM tools
• Build evaluation systems to measure agent performance
• Optimize AI workflows for quality, speed, and cost

Data Engineering & Analytics

• Build and maintain GTM data pipelines
• Design data models for accounts, contacts, leads, and opportunities
• Implement enrichment and data quality workflows
• Build dashboards and reporting systems
• Analyze funnel performance and identify opportunities for improvement

Sales & Marketing Automation

• Build automated workflows for lead generation and prospecting
• Create trigger-based outreach and engagement systems
• Automate lead routing and qualification workflows
• Develop systems for campaign personalization at scale
• Improve handoffs between marketing, SDRs, and Account Executives

Experimentation & Optimization

• Identify and prioritize high-impact GTM experiments
• Rapidly build prototypes and test hypotheses
• Measure conversion and performance across the funnel
• Iterate based on results
• Document successful playbooks and systems

Cross-Functional Collaboration

• Work directly with founders on GTM strategy and execution
• Partner with SDRs and AEs to improve sales workflows
• Collaborate with Marketing on acquisition and campaign systems
• Work with Product to leverage product signals for growth
• Partner with Engineering and AI teams on internal tools and agent capabilities

Requirements

Experience & Skills

• 2+ years of experience in engineering, growth engineering, revenue operations, sales operations, or a technical GTM role
• Strong ability to build with APIs, automation tools, and modern software platforms
• Proficiency in Python, JavaScript, or TypeScript
• Experience working with data and APIs
• Strong analytical and problem-solving skills
• Ability to move quickly and operate in ambiguous environments
• Strong understanding of B2B SaaS go-to-market fundamentals

GTM & Sales Technology

• Experience working with CRM systems such as HubSpot or Salesforce
• Familiarity with sales engagement and prospecting tools
• Understanding of lead lifecycle, pipeline stages, and sales workflows
• Experience with data enrichment and account intelligence
• Familiarity with outbound sales and demand generation
• Understanding of ICP development, segmentation, and account prioritization

AI & Automation Experience (Strongly Preferred)

• Experience building applications or workflows using LLMs
• Familiarity with OpenAI, Anthropic, Gemini, or similar models
• Experience with AI agents, tool calling, and workflow orchestration
• Strong experience with automation platforms such as n8n, Zapier, Make, or similar
• Familiarity with prompt engineering and structured outputs
• Experience integrating AI systems with business tools

Technical Skills

• Languages: Python, JavaScript, or TypeScript
• Automation: n8n, Zapier, Make, or custom workflows
• AI/LLM: OpenAI, Anthropic, Gemini, LangChain, LangGraph
• CRM: HubSpot, Salesforce
• Prospecting: LinkedIn Sales Navigator, Apollo, Clay, or similar
• Data: SQL, PostgreSQL, BigQuery, or similar
• APIs: REST APIs, GraphQL, Webhooks
• Analytics: PostHog, Mixpanel, Looker, or similar
• Cloud: AWS, GCP, Vercel, or similar
• Version Control: Git and GitHub

Benefits & Perks

Compensation & Equity

• Competitive market-rate salary
• Meaningful equity in a high-growth startup
• Performance-based incentives

Work & Life Balance

• Remote-first, flexible work culture
• Flexible working hours across timezones
• Opportunity to work from anywhere

Team & Culture

• Small, high-impact team where your work matters
• Direct collaboration with founders
• High ownership across growth and GTM
• Build systems from scratch rather than maintain legacy processes
• Work at the intersection of AI, engineering, and revenue

Why HyperOrbit?

At HyperOrbit, we're building an AI-native platform designed to transform how companies work.

But we're also building an AI-native go-to-market engine.

As a GTM Engineer, you'll help define how a modern AI company finds customers, understands them, and engages them at scale.

You'll combine engineering with sales and growth—building agents, automations, data systems, and experiments that directly impact pipeline and revenue.

This is a high-ownership role with the opportunity to shape both HyperOrbit's internal GTM infrastructure and the way we think about AI-powered growth.

If you love building systems, experimenting with AI, and connecting technology directly to business outcomes, we'd love to talk.

Come build the AI-powered engine behind HyperOrbit's growth.