GTM Engineer (AI Sales & Engineering)
Quick Summary
AI & Automation for Revenue Growth Systematize and automate revenue workflows – Build scalable AI-driven systems to streamline prospecting, lead generation, and client engagement processes.
3-5+ years in AI Engineering, Revenue Operations, Sales/Data Engineering, or GTM-focused AI roles, ideally within an agency, digital marketing, or SaaS environment.
VELOX is a performance-based digital marketing agency specializing in ROI-driven strategies for mid-market to enterprise clients. As we continue to grow, we are seeking a highly skilled AI Developer to enhance our technology stack by integrating AI solutions across various platforms.
Responsibilities
~1 min read- Systematize and automate revenue workflows – Build scalable AI-driven systems to streamline prospecting, lead generation, and client engagement processes.
- Optimize client acquisition funnels – Use data to refine ideal client profiles (ICP), lead scoring, segmentation, and conversion strategies to drive new business.
- Implement AI-driven tools including chatbots, automated outreach, and conversational AI to improve sales and marketing team productivity.
- Develop predictive lead scoring models using machine learning to improve prioritization of inbound, outbound, and qualified leads.
- Lead data-driven experiments to identify new client acquisition and retention strategies, leveraging AI for continual optimization.
- Leverage AI-based forecasting tools to enhance revenue predictability and pipeline accuracy for large enterprise deals and mid-market clients.
- Enhance CRM workflows with AI-powered automations to reduce manual tasks and increase efficiency.
- Design and manage real-time dashboards with AI-driven insights to track revenue performance, campaign impact, and sales effectiveness.
- Own reporting and analysis on GTM performance, marketing ROI, and automation impact on client acquisition and retention.
- Develop NLP-based models to extract actionable insights from client communications and sales interactions.
- Use AI for advanced client segmentation and propensity modeling, enabling highly targeted outreach and upselling opportunities.
- Improve data quality and governance through AI-powered data enrichment and deduplication processes.
- Partner with Sales, Marketing, and Client Success teams to implement AI-driven solutions that improve client acquisition, retention, and growth.
- Support A/B testing of AI-generated recommendations for pricing, service packaging, and personalized outreach.
- Lead AI adoption and best practices across revenue teams, offering training and guidance to maximize impact.
- Stay ahead of emerging AI trends and tools to maintain VELOX's leadership in the competitive digital marketing space.
Requirements
~1 min read- 3-5+ years in AI Engineering, Revenue Operations, Sales/Data Engineering, or GTM-focused AI roles, ideally within an agency, digital marketing, or SaaS environment.
- Strong process-driven mindset with a focus on scalable, repeatable workflows.
- Experience implementing AI-driven sales and marketing tools (e.g., ChatGPT, Drift, Gong, Clari, Salesforce Einstein, or similar).
- Expertise in AI/ML, data analytics, and automation, including proficiency with Python, SQL, and API integrations.
- Hands-on experience with CRM systems (Salesforce preferred), marketing automation tools (e.g., HubSpot, Marketo), and AI-powered revenue intelligence platforms.
- Ability to translate complex AI models into actionable revenue growth strategies.
- Experience working in digital marketing, advertising technology, or related industries.
- Experience with AI chatbots, NLP, and conversational AI.
- Familiarity with large-scale data pipelines and AI-based personalization engines.
- Previous experience in Organic Search (SEO), digital marketing, or agency environments.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Location & Eligibility
Listing Details
- Posted
- March 10, 2025
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 15%
- Scored at
- September 27, 2026
Signal breakdown
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