Bria AI · 4 months ago
Technical Customer Success
Bria AI is a pioneering enterprise-grade Visual Generative AI platform that empowers builders in enterprises to create and integrate AI-based solutions. The Technical Customer Success Manager will act as a bridge between customers and internal teams, ensuring technical adoption and nurturing long-term relationships with enterprise clients.
Responsibilities
Customer Success & Retention
Own 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 success
Work 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
Qualification
Required
3–6 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 aptitude
Ability to translate technical capabilities into business value
Proven success supporting technical customers at a B2B SaaS or AI/ML platform company
Exceptional communication, organizational, and relationship management skills
Preferred
Experience 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
Company
Bria AI
At Bria, we provide a comprehensive solution for Visual Generative AI built in the right way for commercial use.
Funding
Current Stage
Growth StageTotal Funding
$66.5MKey Investors
Bright Pixel (formerly Sonae IM)Red Dot Capital PartnersEntrée Capital
2025-09-17Series B
2025-03-13Series B· $40M
2024-02-21Series A· $24M
Recent News
vcnewsdaily.com
2025-11-01
Canada NewsWire
2025-10-31
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