Founding Product Engineer

\*\*About Pling

\*\*

Pling builds the operational backbone for medical practices, starting in dentistry. Most dental software handles the patient journey (documentation, treatment plans, billing) — we handle the operations enabling it: equipment management, regulatory compliance, team coordination, service procurement — a segment the wider industry has largely overlooked. Our vision: expand horizontally into other medical specialties and vertically into a marketplace connecting practices with manufacturers, technicians, and service providers.

• Six\-digit ARR, 90%\+ gross margins, growing \~4x year over year


• Proven product\-market fit with a diverse customer base — from single practitioners to enterprise\-level dental chains


• Bootstrapped by design — profitable, growing without external capital, raising our first round in Q4/Q1


• Sticky by design — compliance obligations make Pling mission\-critical infrastructure; once integrated, customers don't churn

The founding team combines deep startup, product, and domain expertise.

• Paolo (CEO) — Stanford\-educated, spent 8 years in Silicon Valley where he built and sold a startup, ex\-BCG, two prior exits


• Henrik (CPO) — ex\-BCG, N26, ImmoScout24, early\-stage startups


• Jonas (CMO) — former clinician at Uniklinik Düsseldorf, ran his own practice, self\-taught engineer. Currently owns Pling's technical architecture and codes alongside the team.

The role

You'll own Pling's architecture and code, strategy and execution. The role is hands\-on and impact\-driven: you contribute to product discussions alongside the founders, then own the full technical lifecycle — architecture, implementation, deployment, monitoring, and continuous improvement in production — with a focus on real\-world reliability and business impact.

Your mandate is to architect and ship the platform that takes Pling to the next 10x of customers and locations — AI\-native by design, built to scale across multi\-site groups across Europe — and to build the development pipeline that makes our shipping velocity hard to match.

We believe a small, AI\-augmented engineering team can outship teams five times its size. You'll prove that with us.

What you'll do

• Build complete features end\-to\-end — data model to API to UI


• Own the technical direction — architecture, infrastructure, security, performance


• Design and own the LLM pipelines that power Pling's AI features — prompt design, structured outputs, evals, monitoring, cost tracking


• Set engineering standards across code and AI features — testing, CI/CD, observability, code review on one side; eval harnesses, regression checks, and quality metrics tied to business outcomes on the other


• Define and lead the migration to our next\-generation architecture — the stack choices are yours to shape


• Build the development pipeline that makes our shipping velocity hard to match


• Hire and lead — bring on the next engineer when the time is right, and define how the team works

Experience

• 6–9\+ years building production software in fast\-paced environments, with at least 2 years focused on LLM\-powered features in production


• Pragmatic about architecture and tradeoffs; you've learned that good engineering usually means removing complexity, not adding it


• Comfort across the stack — backend center of gravity, but able to ship end\-to\-end


• Production experience with Python, TypeScript/Node.js, and modern databases (SQL and NoSQL)

• Deep practical understanding of LLM behavior: prompting, structured outputs, context window management, common failure modes, handling non\-determinism, and writing evals that catch regressions before users do


• Pragmatic about model selection — pick across providers (Claude, GPT, Gemini, open\-weights) based on cost, latency, and quality tradeoffs for each use case


• Know when not to reach for an LLM. A lot of good engineering is knowing when a regex, a lookup table, or deterministic code is the right answer. You hate AI slop as much as you love AI leverage.


• Follow the field actively and adopt new tools when they earn it.

• You'd rather build than manage. AI excites you because it lets you ship at a scale you couldn't before.

• Code quality is a habit, not an afterthought: testing, review, quality gates


• Strong on operational excellence: security, reliability, performance, observability


• Confident with CI/CD and production deployments

• Clear communicator who explains technical trade\-offs to founders, customers, and future hires


• Balance speed, quality, and long\-term sustainability in your decisions


• Fluent English. German is a big plus — our customers operate in German

Why Pling

• Strong traction in an attractive niche. Profitable, growing fast, in a category few others are addressing.


• An ambitious platform vision. Horizontal expansion to other medical specialties and a vertical marketplace dimension both within reach.


• Equity anchored at pre\-fundraise valuation. Because we haven't raised yet, the upside on equity granted now is materially higher than it will be even six months from now.


• Dynamic, fast\-paced environment with experienced founder\-operators and domain experts — direct access, fast decisions.


• AI\-native team. Everyone at Pling uses AI as a daily tool.


• Remote\-first today with regular team meetups in Berlin. Hybrid options as we open offices.


• 30 days of PTO.

• why this role


• what you'd bring


• something you've built


• CV or LinkedIn

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