Go-to-Market; GTM Engineer

Go-to-Market (GTM) Engineer

The GTM Engineer will play a key role in developing and operationalizing the AI-driven capabilities of our global go-to-market organization. This position combines data engineering, applied machine learning, and business understanding to build AI systems that improve the way we measure, forecast, and manage performance across Sales, Marketing, and Customer Success.

Hybrid based on-site three days per week in our Atlanta, Austin or San Jose office.

• Develop, train, and maintain machine learning and AI models that analyze GTM data (pipeline conversion, forecast accuracy, churn prediction).
• Build and manage data pipelines and APIs connecting CRM, marketing, and customer systems to analytical and AI platforms.
• Collaborate with senior data engineers and analysts to ensure reliable, secure, high-quality data flows.
• Support the creation of AI agents and workflows that monitor KPIs, detect anomalies, and deliver recommendations to GTM teams.
• Contribute to automation of recurring performance analyses and forecasting tasks using AI tools and scripting.
• Assist in integrating AI outputs into dashboards and business systems (Salesforce, Power BI, Adaptive Insights).
• Prepare and document training datasets, prompts, and evaluation metrics for AI models.
• Participate in model testing, validation, and continuous improvement cycles.
• Partner closely with GTM operations, analytics, and data science teams to translate business problems into AI use cases.
• Stay current with emerging AI/ML tools, frameworks, and best practices to drive innovation and efficiency.
• Communicate results and model insights clearly to both technical and non-technical stakeholders.

• 4+ years of experience in AI engineering, data science, analytics, or software engineering.
• Ideally 1+ year of GTM engineering at a SaaS company.
• Strong technical skills in Python, data wrangling, and machine learning frameworks.
• Exposure to LLM or generative‑AI frameworks a plus.
• Familiarity with SQL and data platforms.
• Understanding of B2B GTM or revenue data preferred.
• Strong analytical and problem‑solving abilities, with attention to accuracy and data integrity.
• Excellent communication and collaboration skills; able to work effectively with cross‑functional teams.
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related discipline.

Target salary range: $,000 plus 20% bonus potential. In addition to base salary, employees will participate in a bonus plan or role-based commission plan.

• Competitive salaries.
• Comprehensive health, dental and vision coverage.
• 401(k) retirement match (100% matching up to 4%).
• 32 days paid time off.
• 18 weeks paid parental leave.
• 5 days paid yearly to volunteer.
• $5,250 tuition reimbursement per calendar year.
• Sage Wellness Rewards Program ($600 wellness credit and
  360 fitness reimbursement annually).
• Library of on-demand career development options and ongoing training offerings.

Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.