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Ai Enabled Full Stack Developer Experienced Jobs

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Synthesia
πŸ“ Berlinβ€’ Full-time
1mo ago

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role: We're seeking commercially sharp Solutions Consultants to be trusted advisors to our customers, optimizing how Synthesia's platform best fits within their business environments and unlocking value across multiple workflows. As a Solutions Consultant, you'll be the strategic advisor who helps customers see where Synthesia creates the most impact across their organization. You'll run in-depth discovery and facilitate strategic workshops with senior stakeholders to uncover priorities and opportunities; design how Synthesia optimally solves their most pressing challenges; lead enablement that drives real behavior change and adoption; and own the path from deal close to first successful workflow and beyond. Discovery & Strategic Workshops Conduct in-depth, discovery conversations and facilitate workshops with senior stakeholders and practitioners to uncover business priorities, current workflows, technical constraints, and success metrics. Design and lead sessions that help customers envision how Synthesia supports a variety of workflows: whether for enablement, communications, training, operational efficiency, or other business functions. Build advisory relationships through thoughtful questioning, act

A
1mo ago

About the Role Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads. This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine. You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires: Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs Working closely with customers and open source users to draw the subtle line between growth and commercialization Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value. Thinking deeply about and clearly articulating the product strategy to stakeholders Key Responsibilities Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling. Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation. Customer engagement - Drive key customer engagements assisting sales and field engineering teams. Required Qualifications 4+ years of product management experience with technical products Strong technical background in distributed systems, ML infrastructure, or data processing Experience working

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