Customer Success & Data Operations Associate

Om jobbet

About Ethira

Ethira is an early-stage startup based in Stockholm building technology solutions to automate third-party risk management monitoring for regulated financial institutions and high growth tech companies. We are a small, fast-moving team backed by venture capital, and we are looking for hungry, scrappy individuals who want to get in on the ground floor and help shape the company's trajectory.

About the Role

We are looking for a Customer Success & Data Operations Associate to serve as the critical bridge between our customers and our engineering team. In this role, you will own the customer data onboarding experience end-to-end: working directly with customers to understand their data, cleaning and normalizing it for ingestion into our platform, and ensuring a smooth, service-minded implementation process. You will be our customers' primary point of contact for data-related matters and will work closely with the engineering team to resolve technical issues and feed product insights back into the roadmap.

This is a hands-on, high-ownership role at an early-stage company. You should be comfortable operating across the full spectrum - from cleaning messy CSV files to hopping on a call with a customer to walk them through an integration. We need someone who will figure things out, move fast, and deliver a very high level of customer service.

Key Responsibilities

Customer Data Onboarding & Operations

Own the end-to-end data onboarding process for new customers, including data ingestion, cleaning, normalization, and validation•

Work directly with customers to understand their data formats, resolve discrepancies, and ensure a smooth handoff into the platform

Develop and maintain repeatable processes for handling diverse and often messy data sources across the insurance and financial services verticals

Build expertise in the product's data model and become the go-to person for data-related questions internally and externally

Customer Success & Relationship Management

Serve as a primary customer-facing contact post-sale, delivering a high-touch, service-minded experience throughout implementation and ongoing usage

Hand-hold customers through onboarding, proactively identifying and resolving issues before they escalate

Provide responsive, high-attention customer service that meets the service expectations of international enterprise customers

Gather customer feedback and translate it into actionable insights for the product and engineering teams

Product & Engineering Bridge

Act as the liaison between the commercial team and the engineering team, ensuring alignment on customer requirements, product capabilities, and the development roadmap

Work closely with engineers to troubleshoot data issues, scope integration requirements, and determine technical feasibility for customer requests

Develop deep product knowledge so that you can field technical questions confidently during sales conversations and customer calls

Identify recurring data and integration patterns and help systematize solutions to reduce future onboarding effort

Product Expert

Become the definitive product expert across the entire platform - know every feature, capability, integration, and edge case so that no customer question goes unanswered during the sales process

Partner with the sales team to deliver tailored product demos and live walkthroughs that address each prospect's specific use case, data environment, and pain points

Community & Networking

Attend startup and industry events in Stockholm to build relationships, generate leads, and represent Ethira in the local ecosystem

Contribute to the company's presence in the Stockholm tech and fintech community

Qualifications Required

Bachelor's degree in a quantitative or analytical field (e.g. data science, finance, economics, physics, engineering, or similar)

Strong analytical and problem-solving skills with a demonstrated ability to work with data (cleaning, transformation, analysis)

Native or native-level English communication skills, both written and verbal

Customer-facing orientation with strong interpersonal skills and a natural ability to build rapport

Self-starter mentality: comfortable with ambiguity, able to figure things out independently, and willing to take ownership of problems end-to-end

Willingness to work hard in a demanding early-stage startup environment with high expectations

Nice to Have

Experience with data engineering tools and concepts (ETL pipelines, data normalization, SQL, Python, or similar)

Familiarity with financial services data and workflows

Experience in a startup or high-growth environment

Interest in AI/ML applications, particularly in the context of automating data workflows or building internal tooling

Familiarity with customer success tooling, CRM data, sales enablement, etc.

What We Offer

Ground-floor opportunity at a venture-backed startup with significant room for growth and career development

Direct exposure to customers, product strategy, and company-building from day one

A collaborative, fast-paced team environment in Stockholm's vibrant tech ecosystem

The chance to shape your oown role and grow into areas of the business that match your strengths and interests