Enterprise Account Executive at Faros AI | San Mateo

Our Mission 🚀At Faros AI, we are revolutionizing the functioning of engineering organizations through our cutting-edge engineering intelligence platform. This platform offers enriched visibility and context across software delivery systems, vital for engineering leaders in today's landscape. As AI agents increasingly integrate into real software delivery en…

Stellic is on an exciting trajectory of growth! We are seeking a Platform Lead to spearhead the technical vision of our architectural systems. With significant investments in AI capabilities, search infrastructure, and shared platform primitives, we require a visionary technical leader who can define not only the solutions we develop but also how our engineering teams build upon them. ABOUT USAt Stellic, we are dedicated to creating a future where every student navigates their educational journey with clarity, confidence, and purpose. Our platform revolutionizes the student experience, equipping them with the essential tools to make informed decisions regarding their degree paths, monitor their progress, and establish personalized education and career trajectories.As a rapidly expanding startup supported by prominent social impact investors, we collaborate with esteemed institutions such as Cornell, Columbia, UVA, and Ohio State to empower over 1 million students across 7 countries. As we scale our services for universities worldwide, we remain steadfast in our mission, driven by our core values and focused on cultivating a high-performance team that is committed to making a significant impact on both students' lives and the landscape of higher education. STELLIC ENGINEERSThe engineers at Stellic embody a unique combination of curiosity, creativity, and business insight, enabling them to deliver effective solutions with remarkable speed and uncompromised quality. Our mission to assist students remains at the forefront of their development efforts. THE PLATFORM TEAMThe Platform Team is tasked with creating essential infrastructure and key product interfaces that drive Stellic's core functionalities. We manage critical systems such as search, which is fundamental to user experience, alongside an expanding suite of AI-driven features, including AI Analytics and the AI platform. These systems encompass both user-facing functionalities and internal components utilized across our products.In addition to overseeing features from inception to completion, our team develops shared primitives like workflow infrastructure and AI systems that are leveraged widely within the engineering domain. Currently, we are focused on enhancing the reliability and scalability of these systems while continuing to innovate new capabilities that broaden the horizons of what our platform can achieve.As the technical lead for the Platform, your influence will extend across teams and the overall product, shaping both the systems we create and how other teams interact with and build upon them.

About Us:At Fireworks AI, we are at the forefront of developing innovative generative AI infrastructure. Our platform is recognized for delivering top-tier models and the industry's fastest, most scalable inference capabilities. As an industry leader in LLM inference speed, we are pushing boundaries with groundbreaking projects, including our own function calling and multimodal models. Fireworks is a Series C startup valued at $4 billion, supported by premier investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our passionate and collaborative team is comprised of seasoned professionals from Meta PyTorch and Google Vertex AI.The Role: We are seeking a Training Infrastructure Engineer to design, build, and optimize the infrastructure that underpins our large-scale model training operations. Your contributions will be pivotal in establishing high-performance AI training infrastructure. You'll work closely with AI researchers and engineers to develop robust training pipelines, optimize distributed training workloads, and guarantee the reliability of model development.