Skalar is on a mission to rebuild the tax and accounting industry from the ground up. Based in Munich, the company is building an AI-native advisory platform designed to replace slow, manual, and opaque processes with something faster and smarter. The Senior Product Manager (m/w/d) role sits at the center of that ambition. It is a high-ownership position that demands technical depth, user obsession, and sharp business judgment.
What Skalar Is Actually Building
Skalar is targeting a $1 trillion global tax and accounting market. That number matters because it signals the scale of the opportunity and the complexity of the problem. Incumbents in this space still rely on manual processes, slow turnaround times, and opaque client communication.
Skalar's founding team has scaled businesses past $100 million in revenue and delivered €100 million-plus exits. They are not building a side project. They are building the leading global advisory firm, powered by AI from day one.
The Senior Product Manager hired for this role will own AI features end-to-end. That includes document recognition, classification, auto-drafting of tax responses, and retrieval-augmented generation over client files. Ownership here is total. No hand-offs. No excuses.
Technical Skills Required
This is not a traditional product management role. Skalar expects its Senior PM to operate at the frontier of AI product development. You need to understand how the technology works, not just what it produces.
AI and Machine Learning Literacy
You must be comfortable working with large language models (LLMs) and AI tooling. That means building evaluation frameworks, running prompt iterations, and making informed build-versus-buy decisions on models. You do not need to be a machine learning engineer, but you do need to speak the language fluently.
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Familiarity with document classification and recognition pipelines
- Ability to evaluate AI model outputs for quality and reliability
- Experience defining prompt strategies and testing them systematically
Data and Analytics Skills
Skalar runs on data, not intuition. The Senior PM must define the KPIs that matter and steer every product iteration from dashboards. Metrics like Time-to-Filing, automation rate, client satisfaction, and advisor efficiency will be your north stars.
- Proficiency in reading and building product dashboards
- Ability to design and interpret A/B tests and experiments
- Comfort with SQL or similar tools for self-service data analysis
- Experience translating data insights into prioritization decisions
Design and Prototyping Fluency
Skalar holds a high visual bar. The best tax UX should be invisible, and the Senior PM is expected to protect that standard. Figma fluency at the review-and-sketch level is explicitly required. You should be able to draft user flows, critique interface components, and push back on anything that falls short.
Soft Skills and Leadership Qualities
Technical skills get you to the interview. These qualities determine whether you succeed in the role. Skalar is an early-stage company, which means ambiguity is constant and context switching is unavoidable.
User Empathy and Discovery Discipline
Skalar expects its Senior PM to run discovery the hard way. That means conducting user interviews, shadowing sessions, and synthesizing raw, unfiltered feedback. The goal is to tell real problems from assumed ones, a harder skill than most job postings acknowledge.
- Ability to design and execute structured user research sessions
- Skill in separating signal from noise across qualitative feedback
- Confidence challenging internal assumptions with evidence from users
Communication and Stakeholder Management
You will communicate trade-offs directly to Engineering, Tax Advisory leadership, and Founders. That requires clarity, confidence, and the ability to defend decisions with data. Skalar values people who can hold a position and explain it without hedging.
Strong written communication matters equally. Roadmaps, product specs, and post-mortems need to be crisp and actionable. Vague documentation slows teams down, and Skalar moves fast.
Prioritization Under Pressure
Owning a product roadmap end-to-end means making hard calls regularly. You will balance business value, technical feasibility, and regulatory fit simultaneously. That last dimension is critical in tax and accounting, where compliance constraints can reshape entire feature sets overnight.
Experience Required
Skalar is not looking for someone learning the craft. This role demands a proven track record in senior-level product work, ideally with direct exposure to AI-driven products or highly regulated industries.
Core Experience Signals
- Several years of product management experience at a senior or lead level
- Previous ownership of AI or machine learning features in a shipped product
- Experience working in fintech, legal tech, tax tech, or another regulated vertical
- Track record of building and maintaining data-driven product processes
- Demonstrated ability to work directly with engineering and design teams without heavy process scaffolding
Startup experience carries real weight here. Candidates who have operated inside small, fast-moving teams will adapt more quickly to Skalar's pace than those who have only worked inside large organizations with established product infrastructure.
How to Build These Skills
If you are aiming for a role like this in the future, there are concrete ways to close skill gaps. No single course or project covers everything, but deliberate practice across multiple areas compounds quickly.
Building AI Product Knowledge
Start by working directly with AI APIs. OpenAI, Anthropic, and open-source models through Hugging Face all offer accessible entry points. Build small tools that involve document classification or prompt chaining to develop intuition for what these systems do well and where they fail.
Read technical blogs from companies shipping real AI products. Papers from research labs are less useful at this stage than case studies from product teams. Understanding the operational challenges of AI deployment matters as much as theoretical knowledge.
Sharpening Data Skills
Learn SQL if you have not already. Mode Analytics and Metabase both offer free environments for practice. Beyond querying data, focus on metric design: how to define a KPI that actually measures the outcome you care about, rather than a proxy that looks good on paper.
Practicing Discovery and Research
User research is a learnable skill. Teresa Torres's work on continuous discovery habits provides a practical framework for running structured interviews and synthesizing insights. The key is repetition. Interview users regularly, not just at the start of a project, and build the habit of questioning your own assumptions first.
Getting Comfortable in Figma
Figma has extensive free tutorials available directly on its platform. Focus on flows and wireframing rather than visual design polish. The goal for a PM is not to produce pixel-perfect mockups but to communicate ideas clearly and review work with an informed eye.
Understanding Regulatory Contexts
If you are coming from outside a regulated industry, spend time reading how tax law, GDPR, and financial compliance interact with product decisions. Following product leaders who work in fintech or legal tech on LinkedIn or through podcasts builds this context faster than most formal courses.
The Senior Product Manager role at Skalar is demanding by design. The company is attempting something rare: replacing a deeply entrenched, trillion-dollar industry with a fundamentally better product. That level of ambition requires people who combine technical fluency, user obsession, and the confidence to own hard decisions without a safety net. Candidates who have spent time building those skills across real products will find the role compelling. Applications are open at https://www.arbeitnow.com/jobs/companies/skalar/senior-product-manager-munich-19026.
