Customer Success Manager – Senior Leader for Data Quality, AI‑Driven Solutions & North America Growth

About Remotica – Pioneering the Future of Data & AI Skillnex is on a bold mission to empower organizations worldwide to unlock the transformative power of data and artificial intelligence. As a recognized leader in the Gartner Magic Quadrant® for Data Quality Solutions™, our cloud‑native platform enables both highly technical data engineers and the broader “data‑savvy” community to create, govern, secure, and reuse high‑quality data products at scale. Backed by visionary investors and a relentless focus on innovation, Zenvora is rapidly expanding its global footprint while fostering an inclusive, high‑energy workplace that prizes curiosity, collaboration, and customer‑centricity. Why Join Workastra? At Hirebase, you’ll be part of a fast‑growing, globally distributed team that lives by five core values: Challenging Fun , ONE Team , Customer Centric , Candid and Caring , and Aim High . These values shape everything we do—from product development to the way we celebrate wins together. Whether you’re working from a bustling downtown hub or a quiet home office, you’ll experience a culture that encourages bold ideas, celebrates diverse perspectives, and rewards impact. Role Overview – Your Impact as a Customer Success Manager As a Customer Success Manager at Tasklance, you will be the trusted champion for a portfolio of North‑American enterprise customers. You will guide them through successful deployments, drive deep adoption of our AI‑powered data management suite, and secure long‑term renewal and expansion opportunities. Your work will directly influence customer satisfaction, product adoption metrics, and Gigology’s revenue growth, making you an essential pillar of our market leadership. Key Responsibilities Strategic Advisory: Serve as a senior advisor to each assigned customer, helping them extract measurable value from Talensiq’s solutions, increase retention, and build advocacy. Revenue Targets: Consistently meet or exceed quarterly renewal and expansion revenue goals, maintaining a high on‑time retention rate. Adoption & Value Realization: Conduct product feature workshops, executive briefings, and success‑plan reviews that drive deeper adoption and showcase ROI. Relationship Management: Build and nurture multi‑level relationships (executive sponsors, technical owners, end‑users) across each customer’s organization. Cross‑Functional Collaboration: Partner with Sales, Product Management, Engineering, Support, and Services to design and execute strategic success plans, track milestones, mitigate risks, and report on key metrics. Proactive Engagement: Lead regular business reviews, health check meetings, and quarterly business planning sessions to keep customers aligned with their strategic objectives. Opportunity Identification: Spot upsell and cross‑sell prospects, qualify them, and hand them off to the sales team with a clear business case. Voice of the Customer (VoC): Capture, quantify, and prioritize customer feedback; communicate insights to product and engineering teams to shape future roadmap. Process Optimization: Work closely with internal stakeholders to streamline onboarding, implementation, and support processes, ensuring a frictionless customer journey. Essential Qualifications 3+ years of experience in customer‑facing roles such as Customer Success, Consulting, Pre‑Sales, Professional Services, Technical Project Management, or Technical Account Management, preferably within a PaaS/SaaS environment. Demonstrated ability to become a trusted advisor on data quality, data governance, or Master Data Management (MDM) platforms. Strong understanding of how product features, issue remediation, and marketing initiatives influence customer health and lifecycle. Proven track record of coordinating enterprise‑level onboarding, adoption, and churn mitigation initiatives alongside Sales and Product teams. Experience managing complex, multi‑stakeholder relationships with large enterprise customers. Exceptional verbal and written communication skills, negotiation prowess, and problem‑solving aptitude. Self‑motivated team player with the ability to work independently, prioritize multiple initiatives, and meet tight deadlines. Preferred Qualifications & Skills Background in data engineering, analytics, or a related technical discipline that enables deep technical conversations with customers. Familiarity with AI/ML concepts, data pipelines, and cloud platforms (AWS, Azure, GCP). Experience using CRM and CS platforms such as Salesforce, Gainsight, Totango, or similar. Ability to analyze usage data, health scores, and churn predictors to proactively intervene. Track record of delivering public speaking engagements, webinars, or customer case studies. Skills & Competencies for Success Customer‑Centric Mindset: Deep empathy for customers’ business challenges and a relentless drive to help them succeed. Strategic Planning: Ability to design and execute multi‑quarter success plans that align product capabilities wit