Technical Lead, Staffbase
Golang
+ Unit-based Long Term Incentive Plan
Employee communications platform
Open for applications
Employee communications platform
501-1000 employees
Open for applications
+ Unit-based Long Term Incentive Plan
501-1000 employees
Company mission
To empower communicators worldwide.
Role
Who you are
- 10+ years of Experience: A proven track record in backend software development, including previous experience in a Tech Lead or Staff Engineer capacity
- Backend Mastery: Expert-level proficiency in GoLang in microservice architecture
- AI in Production: Hands-on experience building, deploying, and scaling AI-native applications in a production environment (not just local experiments)
- Infrastructure Expertise: Deep knowledge of cloud platforms (Azure preferred) and container orchestration (Docker, Kubernetes)
- Distributed Systems: Strong understanding of event-driven architectures and high-concurrency systems
Desirable
- AI Operations (AIOps): Experience with LLM observability and evaluation frameworks (e.g., Langfuse, Arize Phoenix, or custom "Golden Dataset" evals)
- Efficiency Expert: Proven ability to optimize RAG pipelines for both latency and cost (e.g., semantic caching, prompt engineering, or model distillation)
- Agentic Frameworks: Familiarity with building multi-agent workflows (e.g., using LangGraph, CrewAI, or similar)
- Developer Tooling: Experience building internal SDKs or libraries that help other engineering teams adopt AI features faster
What the job involves
- As a Technical Lead / Staff Engineer for Employee AI, you are a master-builder
- You will spend 60% of your time writing high-stakes code and 40% guiding the technical direction of our AI initiatives
- You are the person we call when a problem is too complex or high priority to solve
- You will lay the tracks (infrastructure) and build the train (logic) for Staffbase’s AI future
- Build High-Impact Solutions: Spend ~60% of your time as a hands-on contributor, leading the implementation of scalable backend services and AI-native applications
- Technical Problem Solver: Act as the technical "special forces" across 2-3 high-priority teams, solving the most complex architectural puzzles
- Bridge Prototype to Production: Partner with PMs and ML engineers to turn experimental AI ideas into high-availability, production-grade services
- Own the AI Lifecycle: Take "You build it, you run it" ownership of the end-to-end pipeline from data retrieval (RAG) and ingestion to monitoring token usage, cost, and latency
- Architect Agentic Systems: Design and build complex conversational states, multi-agent communication protocols, and the infrastructure that supports them
- Technical Leadership: Champion engineering excellence. Influence the org’s technical direction by building prototypes and setting the standard for AI development at Staffbase
Our take
Staffbase is the first AI-native employee experience platform and it's built to help companies keep their people connected - an employee app, intranet, email, SMS, digital signagfee, and Microsoft 365 integrations - all in one place. With more than 2,000 customers worldwide, including Adidas, Toyota, DHL, and Sephora, Staffbase is helping organisations build stronger, more aligned workplaces.
With teams spread across offices, countries, and time zones, companies need reliable ways to keep everyone informed and engaged. And Staffbase does just that, making communication simpler and more effective for every employee. Its tools, including an AI-powered Staffbase Companion assistant, give people the information they need quickly, so they can work more collaboratively with confidence.
A major leap forward for the company is Employee AI, Staffbase's new foundation for the next era of employee experience. Built on trusted data, governance, adn braod reach, it'sd esigned to make AI genuinely uselful for every employee. Features rolling out through 2025 and 2026 include a mobile-first AI assistant that helps employees complete tasks, hyper-personalised weekly podcasts, smarter content governance that keeps information up to date, and prompt-based tools that help teams create high-quality content faster.
With such strong momentum, industry recognition (like being named a leader in the Gartner Magic Quadrant for three years in a row), and a partnership with Microsoft's Azure OpenAI Service, Staffbase is very much ready for the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2022
$125.1m
SERIES E
Mar 2021
$145m
SERIES D
Total funding: $325.8m
Company HQ
Altchemnitz, Chemnitz, Germany
Leadership
Martin Böhringer
(Co-Founder & CEO)Previously co-founded productivity app builder startup Hojoki, serving as CEO before co-founding Staffbase in 2014.
Lutz Gerlach
(Co-Founder & COO)Before Staffbase, co-founded and served as COO of Hojoki.
Frank Wolf
(Co-Founder & President)Previously worked in Social Technologies and Collaboration for T-Systems Multimedia Solutions (T-Mobile), following seven years as a Manager for Accenture.
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