
51 - 200 employés
Fondée en 2015
☁️ SaaS
🤖 Intelligence artificielle
Database • SaaS • Artificial Intelligence
TigerData est le créateur de TimescaleDB et propose un service cloud PostgreSQL fiable, conçu pour des workloads haute performance, en particulier en time series et real-time analytics. Avec un focus sur la sécurité et la scalabilité, TigerData prend en charge des applications exigeantes dans de nombreux secteurs en offrant une ingestion de données ultra-rapide, des requêtes complexes et une gestion efficace de très grands volumes de données. Leurs services conviennent aux applications orientées client et sont utilisés par des entreprises leaders dans des secteurs tels que l’IoT, l’IA et la finance.
🕒 il y a 8 mois
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
Fondée en 2015
☁️ SaaS
🤖 Intelligence artificielle
Database • SaaS • Artificial Intelligence
TigerData est le créateur de TimescaleDB et propose un service cloud PostgreSQL fiable, conçu pour des workloads haute performance, en particulier en time series et real-time analytics. Avec un focus sur la sécurité et la scalabilité, TigerData prend en charge des applications exigeantes dans de nombreux secteurs en offrant une ingestion de données ultra-rapide, des requêtes complexes et une gestion efficace de très grands volumes de données. Leurs services conviennent aux applications orientées client et sont utilisés par des entreprises leaders dans des secteurs tels que l’IoT, l’IA et la finance.
• Owning the health, success, and growth of your customer portfolio — including onboarding, adoption, retention, expansion, and advocacy • Analyzing account health, identifying risk, and creating data-informed success plans that align with customer ROI • Building strong, multithreaded relationships with technical and business stakeholders, including execs • Leading customer engagements like onboarding calls, QBRs, roadmap discussions, and escalation resolution • Collaborating with Sales, Product, Support, and Engineering to advocate for customer needs and influence the roadmap • Generating and qualifying expansion leads (CSQLs) through discovery, usage insights, and strategic conversations • Driving internal improvements to our CS playbooks, tooling, and automation as we scale • Leveraging AI to optimize workflows, surface risk, generate content, and improve customer touchpoints • Helping us convert customers into active champions — case studies, testimonials, reference calls, and more
• Have 2+ years of experience as a Customer Success Manager in a scaling B2B SaaS org, ideally in the $50M–$100M ARR range • Are fluent in customer success motions (success planning, adoption frameworks, risk mitigation, QBRs, value mapping, CSQL generation) • Bring hands-on technical experience with databases (e.g., Postgres, SQL, AWS, Azure) or have been in developer relations, data engineering, or similar • Can translate fluently between business goals and technical complexity — you’re as comfortable with a VP Eng as a DevOps IC • Know what great looks like and have built or iterated on CS playbooks, customer journeys, and internal tooling • Are curious, decisive, and proactive — you think ahead and solve for scale • Have excellent time management, organization, and prioritization skills — you know how to stay focused in fast-moving, ambiguous environments • Have a working opinion on how AI is reshaping CS, and are actively experimenting with tools like GPT, Claude, or Zapier AI • Have strong communication skills (written, verbal, async) and know how to build trust quickly with customers • Thrive in fast-paced environments where ambiguity is a feature, not a bug
• Flexible PTO and comprehensive family leave • Fridays off in August 😎 • Fully remote opportunities globally • Stock options for long-term growth • Monthly WiFi stipend • Professional development and educational resources 📚 • Premium insurance options for you and your family (US-based employees)
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