Senior Product Manager - MLOps, PaaS Solutions

4 days ago

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Exostellar Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

Description

• At Exostellar, we're at the intersection of ML/AI, HPC and Cloud Infrastructure, dedicated to transforming the landscape of Machine Learning Operation (MLOps) and Platform as a Service (PaaS) solutions • The Senior Product Manager will play a pivotal role in defining the strategic direction and technical design of our innovative MLOps middleware and PaaS product line • Lead the end-to-end product lifecycle, from conceptualization to launch and post-launch analysis, for our new MLOps middleware and PaaS solutions • Collaborate closely with engineering teams to define product requirements, prioritize feature development, and ensure technical feasibility • Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI and machine learning infrastructure space • Develop and maintain a product roadmap that aligns with the company's strategic objectives and customer needs • Engage with key stakeholders, including customers, partners, and internal teams, to gather feedback and refine product strategies • Work with marketing and sales teams to define go-to-market strategies, positioning, and messaging for the product line • Monitor and evaluate product performance metrics, using insights to drive continuous improvement and innovation

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree or MBA preferred • 5+ years of product management experience, ideally within the fields of MLOps, AI, or related infrastructure services • Proven track record of successfully defining and launching technical products or services • Experience shipping enterprise products with great user experiences at scale • Strong technical acumen, with the ability to understand and communicate complex technical concepts to diverse audiences • Operational experience of MLOps platforms like MLFlow, Kubeflow or H2O • Development Experience with Deep Learning frameworks like PyTorch or TensorFlow • Experience working in early-stage startups and/or large enterprise environments, with a preference for candidates who have also worked with service providers or ISVs • Excellent analytical, problem-solving, and decision-making skills, combined with strong interpersonal and leadership abilities • Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities with a sense of urgency and attention to detail • Can work effectively in a remote environment

Benefits

• Competitive salary • Health, Dental and Vision Insurance • 401K with match • Paid Time Off (PTO) • Long Term and Short-Term Disabilities • Life Insurance