Sage ยท 2 hours ago
Go-to-Market (GTM) Engineer
Sage is a company focused on enhancing its global go-to-market organization through AI-driven capabilities. The GTM Engineer will develop and operationalize AI systems to improve performance measurement and management across Sales, Marketing, and Customer Success, working within a cross-functional team to design AI agents, data pipelines, and predictive models.
Responsibilities
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
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
Qualification
Required
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
Familiarity with SQL and data platforms
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
Preferred
Exposure to LLM or generative-AI frameworks a plus
Understanding of B2B GTM or revenue data preferred
Benefits
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
Company
Sage
At Sage, we knock down barriers with information, insights, and tools to help your business flow.
H1B Sponsorship
Sage has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (9)
2023 (3)
2022 (13)
2021 (6)
2020 (5)
Funding
Current Stage
Late StageRecent News
2025-12-12
UK Investor Magazine
2025-12-09
Company data provided by crunchbase