Senior AI Product Manager
The Senior AI Product Manager at OpusClip is responsible for bridging the gap between complex AI research and seamless user experiences by transforming raw model capabilities and complex workflows into polished products that serve millions of creators. They act as the final filter for aesthetic quality, ensuring every feature meets high standards for rhythm, composition, and visual harmony. They lead rapid prototyping by building functional proofs-of-concept, working directly with APIs and codebase to validate hypotheses before full-scale engineering. Additionally, they identify latent creator needs and competitive gaps to prioritize bold and high-impact product bets over incremental iterations, architecting the future of digital storytelling through multimodal AI.
Senior AI Product Manager
The Senior AI Product Manager at OpusClip is responsible for bridging the gap between complex AI research and seamless user experiences by transforming raw model capabilities and complex workflows into polished products. They act as the final filter for aesthetic quality, ensuring every feature meets high standards of rhythm, composition, and visual harmony. They lead rapid prototyping by building functional proofs-of-concept, working directly with APIs and codebase to validate hypotheses before full-scale engineering. They also identify latent creator needs and competitive gaps early on and prioritize bold, high-impact product decisions over incremental changes, architecting the future of digital storytelling and video creation.
AI Solution Architect - Palo Alto
As an AI Solution Architect at Mistral AI, the responsibilities include driving the adoption and deployment of Mistral's AI solutions by working closely with customers from strategic vision to production implementation. This involves leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps with customers, and collaborating with Account Executives to develop business cases and align solutions with customer objectives. The role requires architecting end-to-end AI solutions that integrate Mistral's models and platform into customer workflows and infrastructure, partnering with the Applied AI team to design, prototype, and deploy solutions, and overseeing pilot projects and proofs-of-value to demonstrate technological potential. The architect serves as a trusted advisor guiding customers' AI strategies, monitoring KPIs related to business outcomes, and identifying expansion opportunities. Additionally, the role acts as a liaison between customers and internal teams, develops reusable assets and best practices for consistent delivery, and involves travel to foster client relationships and support on-site deployment.
AI Solution Architect - Montreal
The AI Solution Architect is responsible for driving the adoption and deployment of Mistral’s AI solutions by working closely with customers from strategic vision to production implementation. This includes leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps, collaborating with Account Executives on business cases, architecting end-to-end AI solutions integrating Mistral's models and platform into customer workflows and technical infrastructure, partnering with the Applied AI team to design, prototype, and deploy AI solutions in production, executing pilot projects and proofs-of-value, serving as a trusted advisor to customers to guide their AI strategy and maximize investment value, monitoring KPIs tied to business outcomes and communicating progress to executive sponsors, proactively identifying expansion opportunities within accounts, acting as a bridge between customers and Mistral’s internal teams to influence product and research roadmaps, developing reusable assets, best practices, and playbooks to scale go-to-market efforts, and traveling approximately 30-60% to foster client relationships and support on-site deployment.
Marketing Intern - Singapore
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Marketing Intern - Seoul
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Marketing Intern - Tokyo
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Software Engineering Manager
Oversee the design and operation of the core platform including third-party providers, storage, billing, observability, security, and API. Provide technical leadership for various product and platform features. Improve developer experience to enable the whole team to ship faster. Guide efforts that bridge AI research to production across all modalities such as video, audio, image, and text. Understand the capabilities and limitations of state-of-the-art AI models and leverage them in products. Partner with product, design, and research teams to ensure development aligns with user needs and business objectives.
Founding Engineering Lead
Own the technical foundation of Meeno end-to-end including web, mobile, backend, data, and experimentation. Co-design product vision in close partnership with Meeno's team. Build core AI product primitives such as voice capture/playback, low-latency interactions, scene framework (content, branching, scoring hooks), feedback loops and user progression, and personalization. Architect systems for speed and iteration with weekly experiments rather than quarterly releases. Set the engineering standards for quality, reliability, security/privacy, and shipping culture. Hire and mentor engineers as the team scales, focusing on quality over quantity and leveraging AI and talent to maintain lean operations.
Founding Platform Engineer
Design and own the semantic layer that powers the system-of-record flywheel, enabling compounding AI products across teams. Build primitives, abstractions, and APIs for product teams to use as building blocks, ensuring ease of use for shipping AI-driven features. Partner closely with internal product and engineering teams to understand needs, eliminate friction, and design intuitive, well-documented systems that are hard to misuse. Architect systems that span data warehouses, OLTP databases, streaming systems, and vector stores, making tradeoffs based on latency, throughput, consistency, and access patterns. Work with leadership to define the long-term platform architecture, including build-vs-buy decisions, evolving the semantic layer, and scaling the system as product surface area grows.
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