Go-to-Market (GTM) Engineer
Job Description:
The GTM AI 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. Working within a cross-functional GTM performance team, you will design and maintain AI agents, data pipelines, and predictive models that enhance efficiency, provide timely insights, and automate decision support.
This role is Hybrid based on-site three days per week in our Atlanta, GA or Austin, TX office.
Key Responsibilities:
AI System Development & Support
Develop, train, and maintain machine learning and AI models that analyze GTM data (e.g., 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, and high-quality data flows.
Automation & Intelligent Insights
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).
AI Training and Testing
Prepare and document training datasets, prompts, and evaluation metrics for AI models.
Participate in model testing, validation, and continuous improvement cycles.
Collaboration & Continuous Learning
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.
Qualifications
4+ years of experience in AI engineering, data science, analytics, or software engineering
Ideally with 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 a related discipline.
The compensation offered will be determined by factors such as location, level, job-related knowledge, education, and experience. Certain provinces in Canada require job postings to include a reasonable estimate of the salary range applicable to the role.
For this role, in those locations, the target salary range for new hires is: $140,000-160,000.
In addition to base salary, employees will participate in either a bonus plan based on company and individual performance, or a role-based, commission plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. The range listed is just one component of the Sage total compensation package.
Plenty of perks:
Competitive salaries that landed us top 5% of similar sized companies (according to Comparably)
Comprehensive health, dental and vision coverage
401(k) retirement match (100% matching up to 4%)
32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday)
18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date
5 days paid yearly to volunteer (through Sage Foundation)
$5,250 tuition reimbursement per calendar year starting 6 months after hire date
Sage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually)
Library of on-demand career development options and ongoing training offerings
What it's like to work at Sage:
Careers homepage -https://www.sage.com/en-us/company/careers/
Glassdoor reviews -https://www.glassdoor.com/Reviews/Sage-Reviews-E1150.htm
LinkedIn page -https://www.linkedin.com/company/sage-software
LI-RM1
Function:
Routes to Revenue
Country:
United States
Office Location:
Atlanta;Austin;San Jose
Work Place @type:
Hybrid
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Our colleagues are the best of the best. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
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We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out atcareers@sage.com.
Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/
Equal Employment Opportunity (EEO)
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 in employment opportunities or practices 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.
