Senior CSM

Qualytics

18d

About The Position

At Qualytics, we empower data teams to proactively identify and resolve data quality issues—including the ones they didn’t know they had. Our platform goes beyond surface-level checks to assess data row by row, catching silent errors, unexpected changes, and anomalies before they cause real-world consequences. We work with some of the most forward-thinking organizations in the world—enterprises where data quality directly impacts performance, compliance, and strategic decisions. Whether it’s financial reporting, healthcare operations, or AI model integrity, bad data can quietly break big things—and we help ensure it doesn’t. Joining Qualytics means collaborating with top-tier data professionals tackling high-stakes, deeply complex challenges. If you care about trust, rigor, and solving foundational problems that power how the world works—let's talk. Role Overview As a Senior Customer Success Manager (CSM) at Qualytics, you’ll be a strategic partner and trusted advisor to large, data-intensive organizations—the kinds where even small data quality issues can cause massive downstream impacts (and not in a good way). You’ll own post-sale relationships and be responsible for delivering business value, ensuring renewal, and influencing growth across your portfolio. This is a relationship-driven, outcomes-oriented role. You’ll work closely with Sales, Product, and Engineering—but your focus will be on making sure customers get meaningful results, grow with us, and trust their data. You’ll also play a critical role in the pre-sales process, working with our Solutions Engineering and Sales teams to help prospects connect business needs to our platform’s capabilities. We are a startup. If you’re looking for fully-baked onboarding, gold-standard benefits, or total process clarity—we’re probably not the best fit. But if you thrive on ownership, flexibility, and solving problems that actually matter, you’ll feel right at home.

Requirements

5+ years in a strategic, customer-facing role such as Customer Success, Strategic Account Management, or Client Partner (preferably in B2B SaaS).
Experience managing complex enterprise relationships, ideally including Fortune 500 organizations.
Demonstrated ability to build executive relationships, align on business value, and maintain customer health over time.
Exceptional communication skills — and this is not filler. You’ll need to translate broad business objectives into actionable technical conversations, and just as importantly, explain how technical features and capabilities support strategic goals. Whether you're engaging executives, analysts, data engineers, or business stakeholders, you should bring clarity, confidence, and credibility.
Comfortable working cross-functionally across Sales, Product, and Engineering—especially in fast-moving environments.
A strong bias toward ownership and action—you don’t wait for a playbook; you help build it.

Nice To Haves

Familiarity with modern data platforms (e.g., Snowflake, Databricks, dbt, etc.)
SQL proficiency or conceptual comfort with data profiling and quality principles
Experience with data quality, data governance, or observability platforms
Past support of technical POCs or evaluations alongside Sales or Solutions Engineering
Experience working with Product and Engineering in a feedback-driven environment

Responsibilities

Own the full customer lifecycle—onboarding, enablement, engagement, retention, and expansion.
Serve as the strategic point of contact for a portfolio of enterprise customers.
Lead Customer Objective Reviews (CORs) to align stakeholders on goals, metrics, and measurable outcomes.
Partner with Sales to identify opportunities and drive renewals and expansion through demonstrated value.
Support pre-sales and POC efforts by mapping customer business needs to product capabilities—without committing to roadmap features or timelines.
Act as the voice of the customer internally, influencing Product and Engineering with structured, actionable feedback.

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