About We Comes Before Me Corp, D.B.A. SqlDBM

SqlDBM is the leading cloud-native data modeling platform designed for enterprise organizations. We empower large-scale data teams with the tools to streamline data governance, collaboration, and architecture across the modern cloud ecosystem. With an expanding customer base and strong market demand, we are growing our Enterprise Customer Success team to drive long-term value and adoption across Fortune 1000 companies.

About the role

As a Strategic Customer Success Manager, you are the “air traffic controller” for our largest accounts, the strategic owner of the customer relationship, orchestrating everyone who touches the account and making sure the customer always knows the business impact SqlDBM is delivering. You’ll build deep, trusted relationships with senior data leaders, translate the technical work happening in the account into business outcomes that resonate with executives, and proactively identify ways for the customer to expand their use of SqlDBM. You’ll partner closely with a dedicated Data Modeling Engineer (Technical CSM) who owns the technical relationship, and with your AE who owns all sales conversations. Your role is to surface and shape opportunities; the AE closes them.

What you'll do

Account Orchestration

• Serve as the central point of accountability for the account, orchestrating the Data Modeling Engineer, AE, Product, and Solutions Engineering to ensure the customer has a seamless experience and a unified plan.
• Own and manage the post-sale customer journey, ensuring enterprise clients achieve their goals with SqlDBM.
• Lead executive business reviews (EBRs) and success planning discussions with enterprise accounts.
• Track key customer health metrics, proactively mitigating risks and driving retention strategies.

Strategic Relationships & Business-Impact Storytelling

• Build deep, trust-based relationships with C-suite, VP, and Director-level stakeholders, going beyond day-to-day project contacts.
• Translate the technical work the Data Modeling Engineer is doing inside the account into a clear narrative of business impact: efficiency gains, governance wins, faster decisions, cost avoidance, etc. and bring that story to executive stakeholders consistently.
• Advocate for customer needs internally, influencing the product roadmap and feature development.

Expansion

• Proactively identify expansion opportunities: new teams, new use cases, deeper integration, broader org adoption, by mapping the customer’s business priorities to where SqlDBM can drive more value.
• Surface those opportunities cleanly to the AE team with the context, relationships, and business case needed for the AE to run the sales conversation.
• Drive customer adoption, expansion, and renewals by continuously identifying opportunities to increase value, in partnership with the Technical CSM and AE.
• Partner cross-functionally with Sales, Product, and Solutions Engineering to ensure alignment on customer needs.

Qualifications

• 5+ years in Customer Success, Account Management, or Consulting within enterprise SaaS.
• Bilingual in English and Spanish is preferred
• Experience managing large-scale Fortune 1000 accounts with complex data ecosystems.
• Exceptional relationship management, communication, and strategic problem-solving skills.
• Proven ability to drive strategic renewals, expansion revenue, and customer advocacy.
• Working understanding of the modern data stack, cloud architectures (Snowflake, Databricks, etc.), and data modeling concepts, sufficient to be a credible partner to senior data leaders and to your paired Technical CSM. Hands-on technical depth is not required for this role.
• Demonstrated ability to operate as the strategic owner of an account in a paired model, orchestrating technical, sales, and product partners rather than carrying technical work yourself.
• Strong track record of translating technical or product work into executive-level business outcomes (e.g., presenting ROI, QBR business cases, value realization stories to senior stakeholders).
• Experience proactively surfacing expansion opportunities for an AE or sales partner to close, including building the relationships and business case that make those opportunities credible.
• Comfort with a clear handoff line on sales: you create and shape opportunity; the AE owns commercial conversations and closing.
• Prior experience in a Strategic Account Manager or Enterprise CSM role at a data, analytics, or infrastructure SaaS company.
• Experience leading executive business reviews with Fortune 1000 data leaders.

What We Offer

• Competitive base salary + performance-based incentives aligned with customer retention and expansion, as well as company stock options offering.
• Opportunity to work with some of the largest, most influential data-driven organizations globally.
• Remote-first work environment with travel opportunities for key customer engagements.
• Work alongside industry leaders and a world-class product team at the forefront of data innovation.
• Strong career growth trajectory in a rapidly scaling enterprise-first SaaS company.
• Comprehensive paid time off tailored to Spain requirements, including 23 vacation days, 14 bank/regional holidays, and generous sick leave.

SqlDBM offers generous compensation plans, company stock options, and employer-sponsored benefits where applicable that vary based on your country of employment and applicable local regulations.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, in accordance with applicable local law. Please contact the People Experience Team to learn how to request accommodation.

Compensation Range: OTE €69,000-€86250 annual = €60,000-€75,000 base salary + 15% bonus opportunity

Range is indicative of On Target Earnings (OTE) and includes both base pay and bonus at 100% achievement of established targets. Base salary is approximately 85% of total compensation package, is determined based on multiple factors, such as the candidate's skills and experience, location, and other business conditions.