
Job Overview
Location
San Francisco
Job Type
Full-time
Category
Marketing
Date Posted
April 19, 2026
Full Job Description
📋 Description
- • As an Integrated Campaigns Manager at BaseTen, you will own the planning and execution of multi-channel marketing campaigns that drive qualified pipeline and accelerate go-to-market momentum for a leading AI infrastructure company powering mission-critical inference for top AI innovators.
- • You will lead strategy and execution across paid, email, content, social, and events; manage campaign planning and project management from brief to launch and measurement; collaborate with content, design, data, sales, and product teams to build unified campaigns; develop measurement frameworks for engagement, pipeline, conversion, and ROI; maintain a campaign calendar supporting product launches and always-on programs; run post-campaign analyses to refine messaging and channel mix; and test new formats to scale what works.
- • You will join a fast-growing, well-funded AI infrastructure company backed by top-tier investors, serving cutting-edge AI companies like Cursor, Notion, and OpenEvidence, and help build the platform engineers rely on to ship AI products.
- • In this role, you will develop expertise in full-funnel B2B marketing for technical audiences, master campaign measurement and attribution, strengthen cross-functional leadership in high-growth environments, and gain deep exposure to the AI/ML startup ecosystem while driving measurable impact on pipeline and revenue.
Skills & Technologies
About BaseTen Inc.
BaseTen provides a serverless, GPU-accelerated platform that lets machine-learning teams deploy, scale and monitor custom models behind autoscaling inference endpoints. The service abstracts infrastructure management, supports PyTorch, TensorFlow and Hugging Face artifacts, and offers built-in observability, A/B testing and fine-tuning. Customers integrate via REST or GraphQL APIs and pay only for compute used. Founded in 2019 and headquartered in San Francisco, BaseTen targets data scientists and product teams seeking production-grade ML serving without Kubernetes complexity.
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