Field Engineer
About Bria AIBria is a pioneering enterprise-grade Visual Generative AI platform founded 5 years ago and backed by prominent investors, including Red Dot Capital, Intel Capital, GFT, Entree Capital, and Getty Images. Our platform empowers builders in enterprises to build and integrate Visual Gen AI-based solutions without the risks of copyright, privacy, or AI regulatory infringement while ensuring controllable and predictable content generation. At the core of our technology lies a groundbreaking attribution engine that solves one of the hardest challenges in generative AI - fair compensation for artists and data owners whose work contributes to AI training. This commitment to responsible AI isn't just a feature; it's fundamental to our DNA, enabling a sustainable AI economy where Gen AI technology, data ownership, and responsible AI participation coexist.We serve innovative enterprises across various sectors, providing them with a comprehensive suite of visual GenAI tools, including image generation, AI editing, and tailored on-brand generation capabilities using API, source code available, or DIY approaches, all built on top of our proprietary foundation models trained on 100% licensed data. Our platform is trusted by industry leaders, including Publicis, WPP, Getty Images, to name a few, who rely on Bria to power their next generation of AI-driven products and services while maintaining full compliance and brand consistency.Role OverviewAs a Technical Customer Success Manager/Field Engineer, you will be the bridge between our customers and our internal product, engineering, and support teams. You will be responsible for enabling technical adoption, ensuring product ROI, and nurturing long-term relationships with enterprise clients who are building with generative visual AI.You’ll work closely with AI researchers, developers, product managers, and technical decision-makers at client organizations to ensure they are successful using our platform and services, and you’ll play a pivotal role in shaping the future of our product through customer insights.ResponsibilitiesCustomer Success & RetentionOwn the post-sales relationship with a portfolio of technical customers.Guide onboarding and technical enablement processes to ensure successful adoption.Monitor health metrics and usage patterns; proactively address risks to renewals.Act as a trusted advisor, providing strategic and technical guidance.Technical Advisory on how to use Bria’s capabilities and gain successWork hands-on with client dev teams to integrate our Platform-as-a-Service capabilities into their workflows.Troubleshoot issues across the stack (API usage, model behavior, latency, deployment).Lead workshops, demos, and training sessions tailored to technical teams.Translate customer feedback into actionable product improvements.Collaborate with Sales, Product, Engineering, and Support to advocate for customer needs.Contribute to the development of documentation, onboarding materials, and playbooks.Surface common themes and partner with Product on roadmap prioritization.RequirementsMust-Haves3–6 years of experience in a SaaS technical customer-facing role (e.g., Solutions Engineer, Customer Success Engineer, or Technical Account Manager).Proficient in API integrations, basic Python or JavaScript scripting, and understanding of cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Business-oriented with technical aptitudeAbility to translate technical capabilities into business valueProven success supporting technical customers at a B2B SaaS or AI/ML platform company.Exceptional communication, organizational, and relationship management skills.Nice-to-HavesExperience with generative models (e.g., diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model serving, or on-device inference.Exposure to creative industries (e.g., marketing, media, design tooling).Background in data science, software engineering, or applied AI.