Roboflow · 2 weeks ago
Senior Customer Success Manager
Roboflow is a company focused on making the world programmable with artificial intelligence, particularly in computer vision. They are seeking a Senior Customer Success Manager to lead strategic relationships with enterprise customers, ensuring successful implementation and adoption of their solutions.
Artificial Intelligence (AI)Computer VisionDeveloper Tools
Responsibilities
Serve as the senior relationship owner for global and enterprise customers
Build and maintain strategic account plans, success charters, deployment inventories, and value frameworks
Lead QBRs, executive reviews, roadmap conversations, and global coordination calls
Provide strategic guidance on dataset quality, training governance, workflow architecture, and deployment scaling
Drive measurable improvements in adoption, performance, and business outcomes
Coordinate multi-region deployments with Named Support Engineers, Implementation Engineers, and Forward Deployed Engineers to ensure consistent rollout standards
Monitor operational signals (model performance, inference server stability, usage patterns) to proactively identify risks
Oversee escalations end-to-end, ensuring clear communication, expectation-setting, and follow-through
Standardize playbooks for deployment maturity, rollout sequencing, and cross-site consistency
Lead onboarding for new enterprise customers, defining 30/60/90-day success plans
Guide customers through workflow design, dataset structuring, training cycles, and evaluation best practices
Run regular cadence reviews, value assessments, and adoption mapping for your portfolio
Identify expansion opportunities and partner with Sales to progress them
Translate customer insights into structured product feedback
Influence roadmap priorities with evidence-based recommendations
Create documentation, playbooks, templates, and repeatable practices to scale Customer Success
Mentor newer CSMs and help define the standards for excellence in the function
Qualification
Required
Experienced Customer Success leader who understands the complexities of scaling computer vision and machine learning solutions across enterprise and global environments
Comfortable guiding both executives and hands-on technical teams
Ability to take a chaotic, multi-region deployment landscape and create clarity, structure, and predictable execution
Understanding how to interpret model performance and read the operational signals of a healthy (or unhealthy) ML pipeline
Ability to help customers map business value from technical capabilities
Enjoy working across functions — Sales, Support, Engineering, Product, Field
Ability to build strong partnerships with each function
Balance strategic thinking with tactical execution
Serve as the senior relationship owner for global and enterprise customers
Build and maintain strategic account plans, success charters, deployment inventories, and value frameworks
Lead QBRs, executive reviews, roadmap conversations, and global coordination calls
Provide strategic guidance on dataset quality, training governance, workflow architecture, and deployment scaling
Drive measurable improvements in adoption, performance, and business outcomes
Coordinate multi-region deployments with Named Support Engineers, Implementation Engineers, and Forward Deployed Engineers to ensure consistent rollout standards
Monitor operational signals (model performance, inference server stability, usage patterns) to proactively identify risks
Oversee escalations end-to-end, ensuring clear communication, expectation-setting, and follow-through
Standardize playbooks for deployment maturity, rollout sequencing, and cross-site consistency
Lead onboarding for new enterprise customers, defining 30/60/90-day success plans
Guide customers through workflow design, dataset structuring, training cycles, and evaluation best practices
Run regular cadence reviews, value assessments, and adoption mapping for your portfolio
Identify expansion opportunities and partner with Sales to progress them
Translate customer insights into structured product feedback
Influence roadmap priorities with evidence-based recommendations
Create documentation, playbooks, templates, and repeatable practices to scale Customer Success
Mentor newer CSMs and help define the standards for excellence in the function
Understanding of computer vision and ML pipelines (data → labeling → training → deployment → evaluation)
Ability to interpret model metrics (mAP, precision, recall, confusion patterns) and relate them to operational KPIs
Comfort discussing inference performance, edge deployment constraints, latency/throughput considerations
Familiarity with cloud environments, APIs, and common integration patterns
Ability to troubleshoot at a conceptual level to identify where to engage Support, NTSE, Implementation, or Engineering
Executive communication: confident working with directors, VPs, and senior technical leaders
Structured thinking: able to bring clarity to ambiguous deployment environments
Relationship-building: able to build trust quickly across global teams
Anticipatory risk management: proactive identification and mitigation of adoption or deployment risks
Opportunity identification: pattern-spotting across workflows and sites for expansion or deeper usage
Program ownership: running multi-threaded workstreams with precision
Proactive knowledge sharing and documentation
Driving cross-functional clarity on customer goals and roadmap alignment
Supporting Support/NTSE in communicating RCA, impact, and next steps to customers
Contributing to the evolution of Customer Success processes, tools, and health methodologies
Acting as a multiplier for the team — mentoring, reviewing plans, improving templates
Preferred
Background in ML Ops, applied ML, industrial automation, or complex SaaS deployments
Experience managing global rollouts or multi-site production deployments
Familiarity with Jetson devices, industrial cameras, or real-time inference systems
Experience quantifying business value from ML or automation solutions
Benefits
Competitive compensation
Equity
Benefits
Productivity stipends
Travel support to connect with teammates in person
Company
Roboflow
Roboflow is a developer tool for building computer vision models faster and more accurately.
Funding
Current Stage
Growth StageTotal Funding
$99.73MKey Investors
Google VenturesCraft VenturesY Combinator
2024-11-19Series B· $40M
2024-08-23Series B· $37.49M
2021-09-16Series A· $20M
Recent News
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