Triple Whale is the complete intelligence platform that helps ecommerce brands confidently understand what's working in their business, what's not, and what they should do next.
We pull all your data into one place, give you the measurement tools to actually trust it, then use the smartest AI in the industry to translate it into insights and recommendations. From there, you get tools to put those insights to work — from AI agents that generate creative and take action on your behalf, to automations that make the rest of your tech stack smarter and more effective.
More than 50,000 brands like Pressed Juicery, Ouai and True Classic trust Triple Whale to grow faster with fewer resources — uncovering opportunities and acting on them at a scale that would be impossible manually.
The GTM Engineer will play a pivotal role in enabling and optimizing AI-powered workflows across our Go-to-Market (GTM) and Product teams.
This role sits at the intersection of business strategy and AI implementation, acting as a bridge between technical capabilities and practical business applications. The primary mission is to drive the adoption and optimization of our AI features across internal teams. This involves implementing and maintaining AI models and data pipelines, monitoring performance, troubleshooting issues, and collaborating with technical and business teams to align AI solutions with organizational goals
Democratize AI: Embed intelligent automation into daily workflows across all four departments, ensuring teams have the tools and training to leverage AI effectively.
Identify Opportunities: Work with business leaders to pinpoint processes that can be improved or automated with AI (e.g., lead scoring, content generation, churn prediction, product analytics).
Drive Adoption: Lead company-wide AI training workshops and best-practice sharing to foster an AI-forward culture and measure the impact of AI initiatives.
Feedback Loop: Establish a robust feedback loop to translate departmental needs and customer insights into AI feature requirements for the Product and Data Science teams.
Campaign Optimization: Implement AI agents or AI software to analyze cross-channel marketing data, optimize budget allocation, and provide actionable recommendations to improve ROI.
Sales Intelligence: Use AI to generate customer-centric sales intelligence, enrich CRM data, and automate the creation of personalized pitch materials.
Lead Management: Refine AI-driven lead scoring and routing models to prioritize high-potential opportunities and ensure prompt follow-up, boosting conversion rates.
Product Insights: Leverage AI to analyze customer feedback, support tickets, and usage patterns to surface insights for product enhancements and roadmap prioritization.
Onboarding & Retention: Design and implement AI-powered workflows to assist with seamless customer onboarding and identify potential churn risks, facilitating proactive retention efforts.
Performance Monitoring: Monitor the performance of AI features within the product and ensure they meet customer needs and business goals.
AI System Management: Oversee the day-to-day management, monitoring, and operational support of the organization's AI systems and data pipelines.
Data Integrity: Ensure data quality and seamless data flow between marketing automation, CRM (e.g., Salesforce), and product analytics platforms.
Compliance: Ensure all AI operations and data handling adhere to ethical guidelines, data privacy regulations (e.g., GDPR, CCPA), and company policies.
Experience: 3+ years in operations, Business Intelligence (BI), or a similar role, with demonstrable experience in implementing automation or AI/ML solutions
Education: Bachelor's degree in Business, Computer Science, Data/Information Systems, or a related field. .
AI/ML Knowledge: Hands-on experience with generative AI platforms and APIs (e.g., OpenAI, Claude) and a strong understanding of AI models and their application in business.
Technical Skills: Proficiency with data analysis tools, CRM systems (HubSpot), GTM systems (Clay, Avoma, Zapier, etc) and potentially basic programming/scripting knowledge (Python, SQL preferred).
Soft Skills: Excellent cross-functional communication, problem-solving, and change management skills, with the ability to explain complex AI concepts to non-technical stakeholders.
We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage.
We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together.
We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.
Our compensation ranges are set using benchmarks from growth-stage companies and factor in function, level, and location- so everything stays above board and whale-balanced. The range you sea on each job posting shows the minimum and maximum target salary for new hires across all U.S. locations.
Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.
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Triplewhale is a commerce analytics and business intelligence platform designed for e-commerce brands. It provides real-time dashboards and insights to help Shopify and other online merchants track sales, inventory, and business metrics.
Visit website$105,000 – $125,000
