Note: The job is a remote job and is open to candidates in USA. CorralData is a platform that turns scattered data into clear answers, dashboards, and recommendations. The Technical Customer Success Manager owns customer relationships across onboarding, adoption, support, delivery, renewals, and expansion, using data and AI to help customers achieve measurable value.
Responsibilities
- Own the Customer Lifecycle. You'll own a portfolio of customer relationships from onboarding through renewal, using AI as a force multiplier while bringing the judgment that makes the output trustworthy. At any given moment you're onboarding one customer, deepening the relationship with another, and driving growth with a third; managing all three in parallel is core to the role
- Configure customer accounts, data connectors, and pipeline infrastructure, collaborating with engineering as needed
- Validate data integrity end-to-end before go-live
- Model datasets and build SQL-based reporting tied to each customer's KPIs
- Train customers on the platform so they launch confident and self-sufficient
- Get the customer to a first measurable win in production within 30 days
- Keep every account on a steady cadence: weekly written updates, monthly live calls, and recaps within 24 hours
- Bring something new to every monthly call: a data app, a training session, or an insight they didn't ask for
- Respond to customer questions and troubleshooting the same business day
- Spot underused features and surface ways to deepen platform value
- Own project tracking across your portfolio, flagging dates before they slip
- Coordinate with engineering, product, and support to scope and deliver new reports, integrations, or features
- Communicate proactively when timelines shift or dependencies arise
- Log opportunities and expansion signals as you hear them
- Own Net Revenue Retention (NRR) for your accounts, staying close enough to catch problems early
- Identify and develop expansion opportunities across teams, locations, and use cases
- Build on successful implementations to deepen partnerships and drive renewals
Skills
- 3–6+ years in a customer-facing SaaS or data services role
- Active daily use of AI tools in professional workflows. Candidates must demonstrate current, hands-on experience using AI to improve their work output
- Working knowledge of SQL: able to read, validate, and direct AI-assisted query building without necessarily authoring from scratch
- Solid grasp of common business and marketing KPIs (e.g. revenue metrics, retention, conversion funnels, acquisition costs) so you can speak credibly with clients without needing to be walked through their own data
- Experience building or interpreting BI dashboards (Tableau, Looker, Power BI, or similar)
- Data literacy and QA judgment: able to spot when numbers don't add up, trace discrepancies back to their source, and validate outputs before they reach a client
- Strong communication and relationship management skills across technical and non-technical stakeholders
- Ability to translate ambiguous business questions into concrete data requirements, bridging what a client is asking for and what actually needs to be built
- Proven ability to manage multiple accounts or projects simultaneously against competing priorities
- Comfortable holding a steady weekly cadence across a portfolio of accounts
- Familiarity with ETL or data pipeline tools such as Fivetran or Airbyte and common data sources like GA4, CRMs, and paid media platforms
Benefits
- Variable comp tied to NRR growth
- Healthcare
- PTO
- 401k
- Life insurance
- Fully remote (US, Eastern or Central time zone)
Company Overview