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We are searching for a Senior AI Product Manager who can bridge the gap between AI capabilities and business impact. You will be responsible for identifying and embedding AI into our product in ways that drive value, create efficiencies, build competitive advantage, and unlock new revenue opportunities
At our company, we appreciate your past, but mainly focused on the future and what we can achieve together. This is your opportunity to lead AI-first product development in a fast-paced startup, where your work directly impacts the future of the online commerce.
Your Arena - Know your impact
As a Senior AI PM, you will be the bridge between cutting-edge AI technology and real-world business impact. You will own the end-to-end productization of AI by turning todays most advanced models into intuitive, high-impact features. From discovery to launch to optimization, your focus will be on delivering AI-driven innovation that matters
Strategic Ownership: Define and evolve the AI product roadmap, aligning initiatives with business goals and measurable outcomes.
Prompt Engineering Mastery: Design, test, evaluate, and optimize prompts to ensure consistent, high-quality outputs from LLMs.
Productization of AI: Translate model capabilities into seamless, reliable, and efficient product experiences.
Cross-Functional Leadership: Partner with Engineering, Design, and Ops to scope, build, and ship AI-powered features that are usable, compliant, and impactful.
Experimentation & Validation: Run quick experiments to validate hypotheses, measure ROI, POCs, and ensure every AI investment delivers clear value to the business and customers.
Discovery & Delivery: Proactively discover and validate new features and enhancements through data to solve your problem area while ensuring timely and efficient delivery.
Internal Evangelism: Champion AI adoption across the organization. Help stakeholders understand whats possible (and whats not) with todays models.
Market Awareness: Stay on top of the rapidly evolving AI ecosystem and assess which external models, APIs, or tools should be brought into our product.

we are looking for a driven and technically fluent Product Manager to join the MECI Group within the Software Engineering organization. The MECI Group enables algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being. As a Product Manager in MECI, you will own and evolve core internal platforms that are foundational to how develops, validates, and delivers algorithms. This role sits at the intersection of engineering, infrastructure, and developer experience, with broad impact across Algo, Validation, and Platform teams.
What your job will look like:
Own the product vision, strategy, and roadmap for key MECI platforms and capabilities
Drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
Translate needs from Algo developers, Validation teams, CI users, and Infrastructure stakeholders into clear product requirements, specifications, and user flows
Lead the full product lifecycle - from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
Maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
Partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
Contribute to building a culture of collaboration, ownership, and sustainable development, with attention to developer well-being

Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Required Research Scientist - LTX Model Quality
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team.
As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate.
What you will be doing
Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models.
Fine-tune and control VLLMs for video and audio understanding.
Design and iterate on quality evaluation metrics and frameworks.
Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps.
Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality.
Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement.