
51 - 200 employees
Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.
🕒 May 27
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51 - 200 employees
Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.
• Partner with Account Executives to support enterprise opportunities from technical discovery through close • Lead technical discovery sessions, architecture discussions, workshops, demos, and proof-of-concepts • Build and deliver compelling demos and sample GenAI applications showcasing Opik’s capabilities across: • LLM evaluation • Agent observability • Trace and span analysis • Regression testing • Prompt and configuration management • Production AI monitoring and governance • Design and execute enterprise proof-of-concepts with measurable success criteria tied to customer business outcomes • Help customers operationalize AI agents and GenAI applications in production environments • Support MEDDPICC qualification including technical pain validation, decision criteria alignment, competitive positioning, and deployment readiness • Partner closely with Customer Success to ensure smooth customer handoffs into onboarding and post-sales deployment • Collaborate with Product and Engineering teams to communicate customer feedback, product gaps, technical requirements, and competitive insights • Build reusable demo assets, technical enablement content, and evaluation frameworks for the field organization • Assist in developing standardized demo flows, technical messaging, and customer engagement best practices
• 5+ years in Solutions Engineering, Sales Engineering, Customer Engineering, or related customer-facing technical roles • Experience supporting enterprise SaaS, AI infrastructure, developer tooling, or observability platforms • Experience working with AI/ML workflows, APIs, developer platforms, or cloud infrastructure • Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related technical field preferred
• Competitive base salary based on proven experience, skills and location • Competitive benefits package • Flexible working hours and remote/Hybrid work options • Opportunities for professional growth and development • A collaborative and innovative work environment • The chance to work with cutting-edge technologies and projects • This role will be located in the USA working remotely with a global team (large presence also in the Europe and Israel) - some flexibility with work hours is required. • Some travel to customer on-sites is required
Apply Now🕒 May 27
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