Customer Success Manager
SamaSalary not specified
Full Time
Entry Level & New Grad
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries
Requirements
- 4+ years of experience in Account Management, Customer Success, or Implementation roles, ideally within healthcare technology or B2B SaaS environments
- Demonstrated ability to successfully project manage product implementations from kickoff through ongoing customer management
- Strong skills in customer relationship building, change management, and proactive problem-solving
- Proven capability to communicate technical information clearly to non-technical stakeholders
- Proactive, customer-obsessed mindset with a willingness to learn and transform user feedback into actions for engineering teams
- Full-time onsite availability in SF or New York offices 5 days a week, with regular travel (2-3 trips per month across the country, 2-3 days each)
Responsibilities
- Help onboard customers and drive an implementation alongside technical resources
- Define clear KPIs and success criteria with customers from the outset
- Establish and maintain productive relationships with key technical contacts and leadership at customer sites
- Set a shared strategic vision for customer partnerships, aligning on immediate objectives and long-term growth
- Own and manage the entire customer implementation lifecycle, proactively guiding clients through well-defined technical onboarding processes
- Troubleshoot basic issues, escalating effectively to engineering when needed
- Drive rapid implementation timelines to accelerate customer value realization
- Plan and execute structured Go-Live events and comprehensive onsite training sessions
- Facilitate change management, quickly moving users from initial onboarding to proficient daily utilization through targeted education and superuser enablement
- Actively manage and mitigate adoption risks, ensuring all users achieve their "aha" moment swiftly
- Conduct regular Monthly Business Reviews and KPI assessments with customer management, clearly communicating Latent’s value
- Organize consistent feedback loops, capturing customer insights to influence product improvements
- Maintain continuous communication with Pharmacy leadership, ensuring alignment and satisfaction at all organizational levels
- Regularly travel onsite to deepen relationships and uncover further growth opportunities
- Support Account Executives in identifying and driving upsell opportunities
- Maintain a clear line of communication with internal leadership, flagging opportunities or concerns promptly
- Coordinate executive engagement activities, including customer dinners and strategic meetings at conferences
Skills
Account Management
Customer Onboarding
Product Adoption
Implementation Management
KPI Definition
Strategic Alignment
Relationship Building
Healthcare Systems
User Feedback
Customer Success
Latent AI
Optimizes AI for edge computing applications
About Latent AI
Latent AI focuses on enhancing artificial intelligence for edge computing, which involves processing data close to where it is generated, like on smartphones and IoT devices. Their main product is an edge MLOps workflow that automates and simplifies the deployment of AI models on these devices, ensuring they are efficient, secure, and require minimal maintenance. This company stands out from competitors by specifically targeting the edge computing market and providing a software development kit (SDK) called Latent LEIP, which aids developers in creating and deploying AI models. The goal of Latent AI is to make AI more accessible and efficient for applications that need real-time data processing, such as in autonomous vehicles and smart cities.
Menlo Park, CaliforniaHeadquarters
2018Year Founded
$21.9MTotal Funding
SERIES_ACompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Risks
Competition from tech giants like Google and Amazon threatens Latent AI's market share.
Rapid AI advancements may outpace Latent AI's current capabilities, requiring continuous innovation.
Dependency on key partnerships, like Booz Allen, poses risks if relationships change.
Differentiation
Latent AI specializes in optimizing AI for edge computing applications.
Their edge MLOps workflow ensures efficient, secure AI model deployment on edge devices.
Latent AI's SDK, Latent LEIP, streamlines AI model creation and deployment for developers.
Upsides
Growing interest in federated learning enhances privacy and efficiency for edge AI.
The rise of TinyML aligns with Latent AI's focus on resource-constrained edge devices.
5G technology adoption boosts data transmission speed for Latent AI's solutions.
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