Customer Success Manager, Technical at Secoda

Toronto, Ontario, Canada

Secoda Logo
CA$115,000 – CA$130,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SaaSIndustries

Requirements

  • 5-7+ years of experience in customer facing advisory/consultancy roles, ideally at a SaaS company
  • Proven track record in a quota-carrying role of supporting sales teams in achieving targets
  • Strong blend of communication, presentation, and negotiation skills to be a customer-facing ambassador for Secoda’s enterprise customers
  • Passion for helping people solve problems and proven ability to understand changing technologies
  • Ability to work collaboratively and cross-functionally in a fast-moving environment
  • Proficiency in translating complex technical information into simple terms for non-technical stakeholders
  • Nice to Have: Technical understanding of MDS and data discovery tools

Responsibilities

  • Operate as the point of contact and deliver the highest level of customer experience and support to both customers
  • Work closely with customers to ensure they are enabled successfully, fully understand how to use the platform, and can successfully integrate it into their day-to-day workflows
  • Develop close relationships with Secoda’s customers to understand their use cases and technical challenges, and help them achieve the greatest value from our products
  • Gauge customer levels of engagement with Secoda and provide feedback to internal stakeholders regarding product improvements
  • Coordinate and engage with Sales, Customer Support & Success, Engineering, and Product to ensure that customers have the best Secoda experience possible
  • Manage and grow enterprise relationships, with a focus on renewals and driving growth in Annual Recurring Revenue (ARR)

Skills

SaaS
Customer Success
Technical Advisory
Customer Relationship Management
Sales Support
Negotiation
Communication
Presentation
Problem Solving
Cross-functional Collaboration

Secoda

Data management and enablement platform

About Secoda

Secoda provides a platform for data management and enablement, helping organizations track, document, and discover their data efficiently. The platform is especially useful for businesses that deal with large amounts of data, ensuring that it is accessible, understandable, and trustworthy. Key features include data lineage tracking, which shows the origin and flow of data, and comprehensive data documentation tools that help create data dictionaries and metadata repositories. This functionality enhances transparency and trust in the data used by teams. Secoda serves a wide range of clients, from small startups to large enterprises, and operates on a subscription model, allowing clients to access various features based on their needs. The goal of Secoda is to provide a single source of truth for data, improving collaboration and productivity within data-centric organizations.

Toronto, CanadaHeadquarters
2021Year Founded
$15.6MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Unlimited Paid Time Off
Parental Leave
Professional Development Budget
Home Office Stipend
Hybrid Work Options
Company Social Events

Risks

Increased competition from established platforms like Alation and Collibra.
Potential customer resistance due to existing investments in other data management tools.
Challenges in scaling to meet the needs of larger enterprises.

Differentiation

Secoda centralizes data knowledge, reducing the need to switch between multiple tools.
It offers AI-powered data search, enhancing data discovery and accessibility.
Secoda supports real-time multiplayer editing, improving collaborative data analysis.

Upsides

Secoda raised $14M to expand its AI-driven data cataloging platform.
The rise of data democratization aligns with Secoda's mission, potentially expanding its user base.
Integration with AI-driven data quality tools enhances data accuracy and reliability.

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