Descripción de la oferta
Monitor a technical health score: platform activity, pipeline errors, data completeness.
Job title:
Technical Customer Success Specialist
Team:
Clients
Location:
Hybrid work model from Madrid, Spain
About Dcycle
Dcycle is a fast-growing B2B SaaS company that simplifies sustainability by making it transparent and easy to manage. We help businesses store and manage their non-financial data in one system, cutting through regulatory, financial, and technical complexities. With four years of exponential growth, we're empowering companies to streamline processes, stay competitive, and take control of their information. Our team is innovative, driven, and passionate about helping companies improve their competitive edge. Join us if you are hungry for a challenge!
Your Role
We're looking for a Technical Customer Success Specialist who owns the full post-sale relationship with our customers and goes one level deeper than a standard CS profile. You'll run onboardings, QBRs, adoption, and renewals like any great CSM, but you'll also be the person who understands the data and the integrations underneath the platform, and who uses AI every day to work faster and smarter than the rest.
This is not a coding role. You won't be shipping production software. But you will need to be comfortable reading data, understanding how integrations and data flows work, spotting when something is off, and using AI tools to investigate, draft, and solve problems autonomously instead of escalating everything.
What makes this role special?
Role
Understand data architectures at a working level: data models, integrations, pipelines, and where things break.
Diagnose technical issues before escalating: data quality problems, wrong configurations, integration errors, mapping mistakes.
Translate between three languages: product, data, and business.
Use AI as a daily multiplier: to analyze data, draft customer-facing content, build internal documentation, and accelerate troubleshooting.
Work side by side with both the customer (IT, Data, Sustainability teams) and our internal Product and Engineering teams.
Key Responsibilities
You'll own a portfolio of customer accounts across their full lifecycle. Your goals will focus on these areas:
Pre-onboarding and transition
Receive a complete handoff from Sales: customer motivations, pain points, expectations, current data setup, and key stakeholders (including IT/Data profiles).
Hold the first call within 48 hours post-signature to realign technical and business expectations, agree the implementation timeline, and assign responsibilities.
Onboarding (first 90 days)
Execute a structured implementation plan with clear milestones.
Support the setup and validation of data integrations between customer systems and Dcycle.
Review data quality: identify inconsistencies, missing data, and mapping errors.
Train the customer on the functional and technical skills needed to use Dcycle autonomously.
Run periodic checkpoints: progress, blockers, next steps.
Post-onboarding management
Run monthly strategic review meetings that include data quality and integration health, not just usage.
Monitor a technical health score: platform activity, pipeline errors, data completeness.
Diagnose technical issues and resolve the ones within your reach. Escalate the rest with clear context.
Anticipate technical risks before they impact the customer's business.
Identify opportunities to optimize how the customer works with their data.
Product–data–business translation
Translate business needs into technical requirements: which sources to connect, which data to clean, which metrics to calculate.
Help customers structure and organize the data relevant to their reporting and operational goals.
Explain how the product's technical capabilities (automation, integrations, analytics) improve their processes.
Connect platform metrics to business KPIs.
Data understanding and analysis
Interpret dashboards, spot data anomalies, and propose solutions.Run basic queries or use AI tooling to interrogate data and answer customer questions quickly.
Validate that data and transformations produce the expected outcomes.
Detect first-level integration and pipeline issues, and package them clearly for Product/Engineering when needed.
Cross-functional collaboration
Be the voice of the customer inside Dcycle, especially on technical topics.
Document technical and functional feedback in the CRM so every team has access.
Work closely with the customer's IT/Data teams and with our Product/Engineering teams internally.
Escalate complex issues with detailed context and reproduction steps.
Align internal teams (Sales, Product, Support, Marketing) around the customer's needs.
Growth and renewal
Measure and communicate tangible ROI every quarter, data-backed.
Identify growth opportunities (new modules, integrations, business areas, geographies).
Own and drive renewal and expansion across your portfolio.
Run QBRs with both technical and business metrics.
Continuous improvement
Contribute to creating and improving internal CS processes.
Use AI to build playbooks, templates, training content, and lightweight automations that scale the team.
Produce functional and technical content on Dcycle's software, integrations, and best practices.
Soft Skills
We're Looking For People Who
Communicate exceptionally well – express complex technical concepts clearly, listen actively, and navigate customer conversations with confidence and empathy.
Solve problems proactively – approach challenges with analytical thinking, creativity, and a strong bias toward action.
Take ownership and accountability – work autonomously, follow through on commitments, and own customer outcomes.
Cultivate a strong growth mindset – welcome feedback, step outside your comfort zone, and consistently strive to improve.
Keep a great sense of humor – bring positivity, lighten challenging moments, and contribute to an enjoyable team culture.
Technical Skills
Minimum Requirements
Languages: Spanish and English at C1 level. German is a strong plus.
3-5 years in Customer Success, account management, technical consulting, implementation, or similar customer-facing roles within B2B SaaS.
Comfort reading and interpreting data, and a working understanding of how integrations work (APIs, webhooks, connectors, data flows) at a conceptual level. No production coding required.
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