What Activeloop does
We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control, so no embedding re-computation is needed (3) truly serverless service with no vendor lock-in. How cool is that? GitHub loves us - we're one of the fastest-growing libraries there, and we're used by little-known companies like Google, Waymo, and Intel. No big deal. Our founding team hails from places like Princeton, Stanford, Google, and Tesla, and we're backed by Y Combinator & other Silicon Valley heavyweights. Activeloop is hiring, and we want you! Check out our open roles on our YC page and join the fun. 10-min demo: https://activeloop.wistia.com/medias/aibvo0dst2 Whitepaper: https://www.deeplake.ai/whitepaper
2 open roles
What the role involves
We are looking for an experienced Staff Backend Engineer with deep expertise in backend engineering, Go proficiency, advanced software development skills, and proven capabilities in architecting scalable platforms tailored for AI and ML workloads. As a core technical leader, you'll influence strategic decisions, partner closely with the founding team, and play a critical role in shaping Activeloop's AI infrastructure. What You Will Be Doing Architect and Develop: Design and build scalable backend infrastructure optimized for high-performance AI and ML workloads, ensuring robustness and maintainability. Lead Feature Development: Own end-to-end delivery of key product features, from initial concept through deployment and support. Innovate APIs and Microservices: Define efficient RESTful APIs and microservice architectures tailored to customer-driven use cases. Scale Distributed Systems: Implement systems designed for high-throughput, low-latency, large-scale data processing. Enhance Scalability: Drive strategic evolution of system architecture to proactively handle future scalability and performance demands. Implement CI/CD Pipelines: Develop streamlined CI/CD workflows for rapid testing, deployment, and feature iteration. Collaborate with Technical Leadership: Directly influence engineering strategy and roadmap decisions through close collaboration with the technical leadership. Mentorship and Optimization: Mentor engineers, establish development best practices, and continuously improve engineering processes. Partner Cross-functionally: Work closely with product team, ML engineers, and frontend, backend, and full-stack engineers to seamlessly deliver features aligned with business objectives. Enhance Reliability: Ensure platform reliability and uptime through advanced monitoring, logging, and alerting using modern DevOps tools (Docker, Kubernetes, AWS, GCP, Azure). What We Need to See 7+ years of backend engineering experience with significant contributions to scalable platform development. Deep expertise in Go, high-performance backend services, and modern API frameworks. Proven experience in architecting and scaling distributed systems tailored for AI workloads. Strong knowledge of PostgreSQL and databases (PostgreSQL, Redis, MongoDB). Extensive experience in developing RESTful APIs and microservices. Demonstrated capability in implementing CI/CD pipelines and DevOps practices. History of owning complex product features from inception through support. Exceptional communication, collaboration, and problem-solving skills. Bachelor's or higher degree in Computer Science, Software Engineering, or equivalent practical experience. Ways to Stand Out from the Crowd Deep interest in or hands-on experience with distributed databases, data lake technologies, and AI agents. Proven comfort with ambiguity, rapid iteration, and adaptive decision-making in startup environments. Enthusiasm for directly incorporating customer feedback into product development. Proactive in anticipating technical challenges and providing innovative solutions.
What the role involves
At Activeloop we are transforming the way organizations harness their data for AI with our Deep Lake and Multi-modal AI Search. Whether you're answering critical clinical questions or searching across vast repositories of scientific papers, we empower you to index, search and organize billions of documents, images, and videos intuitively using natural language powered by Large Language Models. Join us in making data more accessible and actionable than ever before. The future VP of Engineering will lead and scale our engineering team, ensuring seamless execution of our product roadmap while fostering a high-performance culture. This role requires a strong technical leader who can align engineering efforts with business goals, optimize development processes, and drive innovation in AI and data infrastructure. As the VP of Engineering, you will collaborate closely with leadership team to shape our long-term technical vision, manage cross-functional dependencies, and attract top-tier talent to build cutting-edge AI solutions. What You Will Be Doing Strategic Development Design strategic plan for product pipeline development in harmony with overall company's strategy Include product platform development milestones, timeline, resource needs Coordinate with sales & marketing, human resources, and technical teams to ensure broad alignment Co-develop technical strategy and technical roadmap with the leadership team Engineering Execution Ensure appropriate implementation of agreed upon plans through structured methodologies and processes Prepare an evaluation system for development processes to maximize productivity and wellbeing of employees Coordinate with company leadership and development team(s) to ensure appropriate utilization of resources Account and manage interdependencies between product feature development, as well as between different teams Ensure compliance to company policies and regulations Personnel Management Assist in recruiting and onboarding top talents Coach team members on career growth, technical skills, and leadership development Create a culture based on collaboration and mutual respect Take into account potential hybrid working model in the foreseeable future to ensure high levels of productivity and employee happiness What You Bring Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in a senior engineering leadership role at a high‑growth technology company Excellent strategic thinking and problem-solving skills. Exceptional interpersonal and communication skills, with the ability to inspire and motivate teams. Ways To Stand Out from The Crowd You are a highly motivated, curious, hardworking explorer in the field of AI You have a builder attitude and you love building cool things that matter You're excited to work closely with the founding team in developing hyper-scalable software for ML You can proactively identify and anticipate problems and provide tangible solutions You enjoy the startup journey of building an endurable, scalable business Why Join Activeloop? Activeloop Deep Lake is at the forefront of transitioning from traditional software to AI, accelerating AI deployment across various industries. Our products empower advanced LLMs, generative models, and computer vision models. Trusted by industry leaders we are expanding our team to further advance AI applications. We pride ourselves on being an inclusive, equal opportunity workplace, committed to diversity and accessibility for all applicants.
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.