Manager, Software Engineering

BlackLine Systems, Inc.; Kraków; On-site; PLN 420,000 - 840,000; Full time

Job summary

BlackLine Systems, Inc. seeks a founding Manager, Software Engineering for the BI & Analytics Engineering team in Krakow. You will architect and lead a multi-disciplinary group spanning data engineering, BI/analytics, and applied AI, shaping culture, practices and career trajectories from day one.

You will stand up data pipelines, craft a canonical Snowflake model, surface customer insight via Power BI, and drive agentic AI experiences across risk, credit and cash processes.

Qualifications

• Experience leading multi-disciplinary BI/analytics teams.
• Strong cloud data platform experience and data modeling.
• Familiarity with AI-powered analytics and HITL/HOTL concepts.

Responsibilities

• Lead hiring, onboarding and growth of a Krakow BI/Analytics team.
• Deliver Snowflake data platform and Power BI dashboards.
• Develop agentic analytics capabilities for risk and finance processes.
• Collaborate with product leadership to align roadmaps and delivery.
• Mentor engineers and uphold engineering standards and culture.

Skills

Leadership

Team building

Data engineering

AI concepts

Tools

Snowflake

Power BI

Fabric data pipelines

Job description

Make Your Mark

You'll Get To

Get to Know Us

It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting‑edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

This role is specifically for our AI‑powered Invoice‑to‑Cash (I2C) solution, a market‑leading platform that uses intelligent automation to help companies collect cash faster, unlock working capital, and supercharge efficiency in their accounts receivable processes.

Work, Play and Grow at BlackLine!

Make Your Mark

As the founding Manager, Software Engineering for our new Business Intelligence & Analytics Engineering team in Krakow, you have one of the most consequential roles in this new chapter of BlackLine’s growth. This is a genuinely multi‑disciplinary team - spanning data engineering, cloud data platforms, BI and analytics, and applied AI - and you will be the architect of the team itself: hiring and developing a world‑class group of engineers across those disciplines, and shaping the culture, practices, and career trajectories of everyone in it.

You will lead the team through an ambitious delivery arc. You will start by standing up modern data pipelines - using Fabric database mirroring to move data from our Azure‑hosted tenant databases into a canonical data model in Snowflake - then build the modelling layer and surface insight to customers through Power BI dashboards. From there, the team will develop true agentic AI experiences for risk analysis, credit management, cash allocation, and Disputes & Deductions (D&D), blending Human‑in‑the‑Loop (HITL) and Human‑on‑the‑Loop (HOTL) patterns on BlackLine’s BL 3.0 Agentic framework.

You will partner closely with your senior engineers and cross‑functional product leadership to ensure the team operates with clarity, urgency, and a high engineering bar. You will champion a culture of AI‑accelerated development, where tools like Claude and Cursor are woven into the everyday fabric of how we build. This is not just a management role - it is a founding leadership role with an enduring impact on our mission to deliver autonomous finance and expand BlackLine’s office‑of‑the‑CFO footprint.

You'll Get To

Build and Scale the Krakow BI & Analytics Engineering Team: Lead the hiring, onboarding, and ongoing development of a high‑performing, multi‑disciplinary team spanning data engineering, BI/analytics, and AI. Be an ambassador for BlackLine’s engineering culture in the Krakow hub from day one.

Deliver the Snowflake Analytics Platform: Own delivery of our modern data platform - Fabric database mirroring from Azure‑hosted tenant databases into a canonical Snowflake data model, the Snowflake modelling and semantic layers, and customer‑facing Power BI dashboards that turn that data into insight.

Lead the Agentic Experience Roadmap: Guide the team from analytics into applied AI - building true agentic agents for risk analysis, credit management, cash allocation, and Disputes & Deductions management, delivering a mix of Human‑in‑the‑Loop (HITL) and Human‑on‑the‑Loop (HOTL) experiences on BlackLine’s BL 3.0 Agentic framework, integrated with our existing web applications.

Lead, Coach, and Grow Your Team: Own the career development, performance, and wellbeing of your direct reports across a varied set of specialisms. Conduct regular 1:1s, provide meaningful feedback, and create growth paths that retain and attract top talent in a competitive Krakow market.

Drive Delivery and Execution: Partner with Product Management to align on priorities, manage engineering capacity, and ensure the team consistently delivers high‑quality software and data products on time. Remove blockers, manage risk, and keep commitments.

Champion AI‑Accelerated Development: Cultivate a team mindset and workflow that embraces modern agentic development tools (e.g., Cursor, Claude) as force multipliers for velocity and quality - and hold the bar high for what great engineering looks like in this era.

Shape Engineering Culture and Standards: Establish and uphold best practices across the full stack of the team's work - data pipeline reliability and observability, data quality and lineage, dimensional and semantic modelling standa