Edgar Kussberg
Entrepreneur and AI, engineering & product leader with over two decades growing cross-functional teams across the world. From founder and CTO to Director of Product at Sonar — always at the intersection of technology and business impact.
From engineering roots to AI leadership
My career has followed a consistent thread: building technology that makes other people more productive. That thread has led from hardware-adjacent IoT platforms to the cutting edge of AI-powered software development.
I started in the trenches. As a lead engineer and later CTO at Bedifol, I built an ERP system from scratch supporting over 200,000 products, led a fundamental architecture shift to service-oriented architecture that achieved four times production efficiency, and established agile processes with high-frequency release management. This was where I learned that technology decisions are always business decisions, and that the best technical solutions are the ones that unlock business capability.
At LEAD Energy, as CTO, I built an enterprise-grade smart home IoT platform on AWS powering millions of connected devices and unlocking €3M in new revenue streams. Leading nearshore development teams across Europe and offshore hardware sourcing across Asia taught me how to grow effective cross-functional teams across time zones, cultures, and very different working styles. The technical challenges — real-time data from millions of devices, distributed systems that could never go down, tight integration between hardware and software — shaped how I think about building robust, scalable systems and globally distributed engineering organizations.
The pivot to product leadership came at Numbrs, a Swiss fintech company, where I launched the Money Store chatbot that enabled financial product purchases and generated over 10,000 sales in its first year. Leading cross-functional teams across product, UX, and engineering showed me that the most impactful role was not building the technology but shaping what gets built and why.
As Chief Product Officer at Swiss Startup Factory during the COVID-19 pandemic, I launched Switzerland's fastest-growing quick-commerce platform, scaling to over 1,000 daily deliveries in under six months with an NPS of 9.3. This was an exercise in building under extreme uncertainty, moving faster than anyone thought possible while maintaining quality. The experience cemented my conviction that the best products come from deeply understanding user needs and iterating relentlessly.
The move into AI-powered developer tools
The current chapter of my career began at Snyk, where I led four cross-functional product teams (40+ engineers, researchers, and PMs) to ship industry-first AI security work and a PLG developer-education engine that reached over seven million developers worldwide.
Now at Sonar, I lead AI, Agents, IDE, CLI, MCP and Integrations as Director of Product. I partner with enterprise leaders around the world to make agentic coding practical at scale — driving five times month-over-month growth in AI agent adoption across a platform used by five million developers.
AI & Machine Learning
- ▶Agentic coding systems
- ▶LLM integration & evaluation
- ▶MCP server development
- ▶AI evaluation pipelines
- ▶Hybrid symbolic + neural AI
Product Leadership
- ▶Vision-to-execution roadmaps
- ▶Cross-functional team leadership
- ▶Go-to-market strategy
- ▶Product-led growth
- ▶Data-driven decision making
Engineering
- ▶Distributed systems
- ▶Platform architecture
- ▶IoT infrastructure
- ▶CI/CD automation
- ▶Service-oriented architecture
Developer Experience
- ▶IDE extension development
- ▶CLI tool design
- ▶Developer education
- ▶DevSecOps integration
- ▶API design
Business & Strategy
- ▶Enterprise sales enablement
- ▶Startup scaling
- ▶Digital transformation
- ▶International operations
- ▶Investor relations
Domains
- ▶Code quality & security
- ▶Developer tools
- ▶Fintech
- ▶IoT & smart devices
- ▶E-commerce & logistics
Education
B.Sc. Software Engineering
Hochschule für Technik, Wirtschaft und Gestaltung Konstanz. Foundation in algorithms, data structures, systems programming, and software engineering principles. The rigorous curriculum bridging technology, business, and design has underpinned every role in my career.
AI, ML & Product Leadership
Ongoing professional development in machine learning, large language models, product strategy, and enterprise leadership through industry conferences, research, and hands-on experimentation with cutting-edge AI systems.
Languages
English
ProfessionalProfessional fluency. All enterprise engagements, technical writing, and international leadership conducted in English.
German
ProfessionalProfessional fluency from years living and working in the DACH region. Experience at Swiss and German companies including Sonar, Numbrs, LEAD Energy, and Bedifol.
Estonian
NativeMother tongue. Born and raised in Estonia, deeply rooted in the Baltic tech ecosystem.
Russian
NativeNative language. Adds cultural depth and perspective to international leadership roles.
Publications
AI in the SDLC: Cutting Through the Hype
Analysis of where AI delivers real value in the software development lifecycle versus where the industry is over-promising. Practical frameworks for evaluating AI tooling ROI.
The Productivity Paradox of AI-Assisted Coding
Exploring why more AI assistance doesn't always mean more productivity, and how to design AI-powered tools that genuinely accelerate developer workflows.
Beyond Work
Product Academy — Mentor
Growing future product leaders through workshops, 1:1 coaching, and mentoring. Alumni now at Google, Zalando, Airbnb, Booking.com, and more.
Supaplan
AI-powered time-intelligence platform. Calendars that think, adapt, and optimize your day.
ChampsTracker
Sports-tech platform for tennis, padel, and pickleball athletes with advanced tracking and training insights.
How I approach product leadership
Product leadership in developer tools is uniquely demanding. Your users are builders themselves. They have strong opinions, deep technical knowledge, and zero patience for tools that waste their time. Earning their trust requires a different approach than consumer or enterprise SaaS.
Start with the workflow, not the feature. I always begin by understanding how developers actually work, not how we think they should work. This means spending time in IDEs, reading code reviews, watching CI pipelines, and talking to engineers about their frustrations. The best product ideas come from deep observation of real workflows, not from feature request lists.
Measure what matters. In developer tools, vanity metrics are everywhere. Usage counts, feature adoption rates, and NPS scores can all be misleading. I focus on outcome metrics: did the tool actually help the developer ship better code faster? Did it reduce time spent on code review? Did it catch bugs that would have reached production? Outcome-driven measurement is harder but far more honest.
Build for the ecosystem, not the silo. Developer tools exist in a rich ecosystem of editors, version control systems, CI/CD platforms, and now AI agents. The most valuable tools are the ones that integrate deeply with this ecosystem rather than trying to replace parts of it. This is why I have invested heavily in MCP servers, CLI tools, and IDE extensions: they are the integration points that make tools useful in the real world.
Move fast, but earn trust slowly. In enterprise contexts, trust is the most valuable currency. Developers and engineering leaders need to trust that your tool will not break their workflow, that your analysis is accurate, and that your AI suggestions are safe. This trust is built through reliability, transparency, and consistently delivering on promises. Rushing to ship features at the expense of reliability is always a losing trade.
Let's build something
together.
Whether it is AI strategy, product leadership, or building the next generation of developer tools, I am always open to meaningful conversations.