Customer Success Lead at Hive

San Francisco, California, United States

Hive Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Technology, Cloud ComputingIndustries

Requirements

  • Bachelor’s degree in mathematics, engineering, or a related technical field
  • 3+ years of experience in a client-facing role working with enterprise accounts and stakeholder management
  • Prior professional experience in Customer Success, Technical Account Management, or professional services within a SaaS technology company
  • Proven track record of managing enterprise relationships and driving adoption or renewals
  • Strong technical acumen, with the ability to understand APIs, data workflows, and integrations
  • Excellent verbal and written communication skills and exceptional attention to detail, with experience engaging both business and technical audiences
  • Ability to juggle multiple priorities in a fast-paced environment

Responsibilities

  • Own the post-sales relationship with key enterprise customers; maintain continuous communication, including monthly check-ins and/or quarterly business reviews
  • Partner with customers to define success metrics, KPIs, and adoption strategies aligned to their goals; track progress against metrics
  • Lead customer onboarding and implementation to ensure customers achieve measurable business value from Hive’s industry-leading AI solutions
  • Efficiently resolve urgent technical customer support tickets; ensure proactive and timely communication with key client stakeholders
  • Represent the voice of the customer internally, and provide actionable feedback to influence product direction and feature development
  • Monitor usage, adoption, and engagement metrics to proactively address risks and ensure long-term retention
  • Partner with the Sales team to identify growth opportunities and drive expansion into other areas of Hive’s product suite
  • Collaborate with Operations to create playbooks and standard operating procedures to accelerate the growth of the Customer Success team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Skills

Customer Success
Account Management
Customer Onboarding
KPI Tracking
Strategic Advisory
Technical Support
API Integration
Quarterly Business Reviews
Cross-functional Collaboration

Hive

Provides AI models and APIs for search

About Hive

Hive offers advanced artificial intelligence models through APIs that enhance search capabilities, such as visual similarity and text-to-image search. Their deep learning models can accurately classify content and generate images and text, making them valuable for industries like sports and marketing. Hive differentiates itself with high standards of information security, holding ISO 27001:2022 and SOC Type 2 certifications. The company's goal is to empower businesses by providing AI solutions that improve their operational efficiency and decision-making.

San Francisco, CaliforniaHeadquarters
2013Year Founded
$138.3MTotal Funding
SERIES_DCompany Stage
Consumer Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Competitive Pay
Equity
Comprehensive Insurance
Catered Meals
Corporate Gym Membership

Risks

Emerging competition from OpenAI's GPT-4 could challenge Hive's content moderation market.
TrueMedia's collaboration with Microsoft may threaten Hive's AI-generated content detection.
Free AI-powered tools like TrueMedia's deepfake detector could reduce demand for Hive's services.

Differentiation

Hive offers a comprehensive suite of pre-trained AI models for diverse applications.
The company provides turnkey software solutions powered by proprietary AI models and datasets.
Hive's technology supports platform integrity, brand protection, and context-based ad targeting.

Upsides

Hive's collaboration with Virgin Money shows potential in the real estate and energy sectors.
Growing demand for AI-powered content moderation boosts Hive's market opportunities.
Hive's Intelligent Search services enhance content discovery and moderation capabilities.

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