We're thrilled that you're considering a career at Kindly! Here's everything you need to know about this job. 🥳

🌟 What we want your help with:

You will be the Tech Lead and strategic anchor for Team Data. We are looking for an agent of change with an analytics background - someone who can take true ownership of our data architecture, real-time insights, and AI platform, while guiding a talented, multidisciplinary team toward our next phase of growth.

Our team is filled with brilliant minds, and we foster an environment where you can mentor others while bringing your deep data expertise to the table. We need your analytical powerhouse mindset to ensure our data pipelines, real-time analytics, and LLM features are world-class, reliable, and built to scale.

🌟 Some of our goals for the next 2 years:

• Data & Analytics Impact: Scale our ClickHouse and TimescaleDB pipelines to deliver trusted, lightning-fast real-time insights and govern our Luzmo embedded analytics.

• AI Maturity & Delivery: Move past the basics of AI. Push the boundaries of our platform with production-ready LLM features, advanced prompting, and smart cost/quality governance.

• Data Reliability & Excellence: Act as a catalyst for quality by upgrading our data testing strategies, reducing pipeline incidents, and embedding an observability-first mindset across the data stack.

• AI-Assisted Velocity: Establish clear team standards for AI-assisted workflows (like Copilot/Codex) to safely maximize team productivity and delivery predictability.

🌟 Where we might stand out:

• No tracking of hours, we believe in great work and trust

• Small product team (20) with high output

• True Platform Ownership: You own the technical roadmap and architectural direction of our data ecosystem.

• Freedom to act as an agent of change across our entire data and AI stack.

• We don't believe in strict corporate limitations. You get a dedicated AI budget and the freedom to experiment with and use almost any AI tool that helps you and the team succeed.

• Time to refactor and eliminate technical debt.

• Your input on the areas you wish to focus on matters.

🌟 Our Data & Tech Stack:

• Datastores & Analytics: ClickHouse query endpoints, PostgreSQL, MongoDB, Redis/Valkey, Elasticsearch, and Luzmo analytics.

• AI/LLM Stack: Multi-model/provider workflows, prompt engineering, token/cost governance, embeddings, clustering, and topic modeling.

• Backend Ecosystem: Python and TypeScript/Node.

• Cloud & Platform: GCP, Docker, Kubernetes, Helm.

• Testing & Tooling: Pytest, Vitest, Playwright, CircleCI, and GitHub workflows.

🟢 About Kindly:

Kindly is a growing SaaS company of 70+ employees, working out of Oslo, Stockholm, Copenhagen, and Amsterdam. Our chatbot platform helps big businesses and organizations around the world to automate and deliver world-class customer service. We leverage AI, GPT, and machine learning to build the world's most loved chatbot. We have over 150 incredible clients that include Elkjøp Nordic, Kahoot!, Voi, and Norwegian. Our tech reaches over one million users every month.

🌟 What you will do:

As a Tech Lead - Team Data, your job will be to:

• Lead & Empower: Directly guide, mentor, and grow a multidisciplinary engineering team, establishing clear priorities and reducing cross-team friction.

• Customer Exposure & Drive: Drive data features with a strong customer-centric mindset. You’ll work closely with how our enterprise clients leverage analytics, translating their real-world data needs into platform capabilities.

• Own the Data Architecture: Define the technical boundaries and data models across our services, ensuring seamless event-driven analytics and robust AI integration.

• Ship Resilient AI Features: Guide the team in designing production LLM features with sophisticated error-handling, retries, fallbacks, and cost controls.

• Champion Data Governance: Elevate our data testing rigor and monitoring to ensure our analytics are trusted, accurate, and highly available.

🌟 What we think you bring to the table:

• 6+ years of professional software engineering experience, with at least 2+ years of proven experience successfully leading multidisciplinary teams.

• Deep Analytics Roots: A strong, proven background in data engineering, data analytics, or building heavy data-intensive products. You know how to unlock value from high-throughput data layers (ClickHouse and TimescaleDB experience is a plus).

• Customer Drive: High agency, proactive drive, and comfort with customer exposure. You want to understand the why behind user behavior and customer data requests.

• High-Level Technical Literacy: You don't need to be a hands-on frontend ninja or a pure backend code-monkey, but you have the architectural breadth to understand how frontend, backend, and data components connect so you can effectively guide the team.

• Production AI Awareness: A solid grasp of shipping LLM/NLP features to production, including cost management, quality evaluation, and prompt hygiene.

• Metrics-Driven Leadership: The ability to run engineering workflows backed by solid metrics for data reliability, team velocity, and platform stability.

🌟 It’s a bonus if you have experience with:

• Establishing organizational standards for AI coding assistants (Copilot/Codex playbooks).

• Advanced Kubernetes orchestration (Helm) and complex GCP cloud setups.

• Handling scaling challenges around real-time data ingestion and event-driven architectures.

🌟 What we offer:

• Dedicated AI Budget and freedom to use the best AI tools on the market

• Option to buy stocks at a discount

• Modern offices near Oslo Central Station

• Social stuff (parties, Friday beers, ping pong table, good vibes)

• Flexible work hours and location

• 2-day bi-monthly Hackathon during work hours

• Personal development hours (10 hours /month)