Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.
Areas of ownership:
Data Platform Infrastructure: Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
Data Modeling & Transformation: Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
AI Data Enablement: Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
AI Adoption Measurement: Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
Data Governance & Compliance: Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.
Who you are:
Experience designing data layers that power AI/LLM-based applications and agentic workflows.
Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
Knowledge of dimensional modeling and modern data warehouse technologies.
Ability to comprehend and execute on complex requirements and resolve performance issues.
Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
Passion for staying updated and driving innovation in data engineering.
Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics.
Understanding of how Al tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimise data access for.
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Data Analyst (Strategy & Analytics), you will play a central role in shaping how Parloa uses data to drive growth, efficiency, and strategic clarity. You’ll work across Commercial, Operations, Product, and Tech to turn data into actionable insights that inform decision-making at every level of the company.
This is your opportunity to combine deep analytical work with real business impact by building scalable data products, influencing company-wide strategy, and helping Parloa operate with greater precision and speed.
Areas of ownership:
End-to-End Analytics: Own analytics projects from problem definition and hypothesis building to data modeling, insight generation, and executive communication.
Performance & KPI Frameworks: Partner with cross-functional leaders to define KPIs, reporting structures, and metrics that drive accountability and focus.
Data Products & Reporting: Design and maintain scalable dashboards and reporting solutions that provide clear visibility into company performance.
Advanced Analytics & Modeling: Build forecasting and predictive models to support planning, resource allocation, and strategic decision-making.
Business Insights & Optimization: Conduct deep-dive analyses to uncover growth opportunities, operational inefficiencies, and product usage patterns.
Data Foundation & Quality: Collaborate with data and analytics engineering teams to improve data models, ensure data quality, and scale reliable reporting.
Who you are:
5+ years of experience in data analytics, business analytics, or strategy analytics, ideally in a high-growth tech, consulting, or finance environment
Strong SQL skills; experience in Python or R for advanced analytics is a plus
Solid understanding of statistical methods and machine learning techniques (e.g. regression, classification, forecasting)
Experience building dashboards and reporting frameworks using tools like Tableau, Looker, or similar
Strong understanding of financial data structures and FP&A processes, as well as commercial and operational metrics
Experience supporting FP&A workflows (e.g., budgeting, forecasting, revenue and KPI tracking) by transforming financial data into well-structured reporting layers aligned with accounting logic and business needs.
Proven ability to design metrics and translate business questions into structured analytical approaches
Confidence in communicating insights to senior stakeholders, including executives
Structured, hypothesis-driven mindset with a pragmatic and hands-on approach
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
