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Senior) Agentic Finance Engineer

in 80331, München, Bayern, Deutschland
Unternehmen: emplify GmbH
Vollzeit position
Verfasst am 2026-09-29
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 110000 - 150000 EUR pro Jahr EUR 110000.00 150000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: (Senior) Agentic Finance Engineer

Shape how the world sees Team Viewer by driving impactful campaigns that reach millions globally.

Team Viewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.

We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive.

Are you ready to join our team and make an impact?

Responsibilities

In short you will build and automate the intelligence that explains performance and guides capital, thereby transforming how Finance works.

As a (Senior) Agentic Finance Engineer, you lay the analytical foundation that turns Finance into a decision-intelligence function. The role's mandate is to move Strategic Finance from manual, retrospective analysis toward automated, agent-based decision intelligence - with a focus on portfolio logic, capital allocation, and long-term value creation.

You will join our Strategic Finance team. A small, expert team at the centre of corporate decision-making that combines corporate finance, capital allocation, planning, and performance intelligence to explain why performance moves and where capital creates value. The team does this by turning complex questions into clear decision logic, robust business cases, and actionable insights. With direct access to senior management, it helps shape Team Viewer’s strategic direction, advises on key business and capital allocation questions, and facilitates Board-level decisions.

Develop analytical models and frameworks that explain why business performance moves and translate them into decision-ready insights. Go beyond traditional variance analysis to identify structural drivers, second-order effects and long-term implications

Automate Finance Logic

Design, build and deploy automated and agent-driven analytical workflows that can query complex financial logic, perform contextual performance deep dives and run scenario simulations

Decision Product Management

Translate financial and strategic logic into scalable, reusable decision-support products rather than one-off analyses or presentations

Build intuitive interfaces and analytical tools that enable Finance stakeholders and senior management to access relevant insights efficiently

Continuously improve analytical products by tracking adoption, gathering user feedback and enhancing usability and functionality

Finance Transformation

Support the transformation of the wider Finance organisation towards an AI- and agent-enabled way of working

Act as a bridge between Finance, Business Intelligence, Data and Technology teams to ensure harmonised, scalable and interoperable solutions

Establish standards, architectures and best practices for using AI and automation within Finance

Requirements

University degree in a quantitative or technical field such as Computer Science, Engineering, Physics, Mathematics, Econometrics, or a comparable discipline

3+ years of professional experience in Finance, Data Engineering, Analytics Engineering, Data Science, or a combination of these areas

Hands-on experience with automation, AI and modern data architectures (MS Fabric)

Hands-on experience with SQL and Python, including data manipulation and analysis using libraries such as pandas

Strong analytical and problem-solving skills with a structured, first-principles and systems-thinking mindset

Strong communication skills with the ability to adapt to different audiences – from explaining a data model to a CFO to discussing pipeline architecture with an engineer

Proactive, collaborative and hands-on working style with a strong sense of ownership

What we offer

Onsite Onboarding in our HQ office for an optimal start

Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews

Premiums for the private pension plan (
BAV
) up to the maximum amount are topped up by Team Viewer

Public transport friendly offices

Option to lease an e-bike (Germany only)

Special terms for local gyms

Access to Corporate Benefits platform with many discounts

Regular Team events and…

Stellen-Anforderungen
10+ Jahre Berufserfahrung
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