Staff Engineer

Description

About the company

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform . Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Together, we’re shaping the future of workplace communication.

As a Staff Engineer on the Search team, you'll take on one of our most important platform challenges: making every employee able to find what they need, and get a trustworthy answer, across the company and the tools around it. Today search spans people, posts, pages, files and connected integrations, and it increasingly feeds AI-generated answers. You'll define how retrieval, ranking and grounded answers work at that scale.

Your north star is a search platform that finds the right thing, fast, for the right person. It must respect permissions on every query, work in every language our customers use, and give answers that cite their sources. You'll build the core, set the quality bar, and decide where we use proven techniques and where we experiment, all on a mature, multi-tenant platform.

This is a role for someone who wants to drive, not just deliver. You'll shape the direction of an open-ended problem, and you'll measure your work with real relevance data, not gut feeling.

Our tech stack includes Kotlin, Java, OpenSearch/Elasticsearch, MongoDB, React, TypeScript, Terraform, Docker and Playwright, plus LLM and embedding services for retrieval, reranking and summarisation.

The Team

The Search team sits at the heart of how employees find information at the company. We own the full path from query to result: indexing and embeddings, hybrid keyword and semantic retrieval, ranking and reranking, typeahead, and the AI summaries that answer questions with citations. Search is also a core source of knowledge for Navigator, our AI assistant, and the main way it grounds its answers in company content.

That means two big things. First, we make results relevant: understanding the query, retrieving the right candidates, ranking them well, and doing it in the user's language. Second, we make search safe and fast: every result respects the user's access rights, every tenant stays isolated, and the fast path stays fast. We don't ship relevance changes on a hunch. We run offline evaluations, golden query sets and online signals, and we change one thing at a time.

Our environment

Working with skilled and similar-minded professionals in a team that values diversity and inclusivity

We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees

We are enthusiastic about technology and committed to using it to improve the world

We follow the "You build it, you run it" approach and take pride in it

What you'll be doing

Define and drive the search and retrieval strategy: hybrid (BM25 + vector) retrieval, reranking, query understanding and rewriting, chunking and embedding choices

Build and evolve the core ingestion and query pipeline, from sync and indexing to ranked results and AI summaries with citations

Own search quality: build evaluation tooling and golden sets (including unanswerable and permission-varying queries), define relevance metrics, and turn them into decisions

Protect the non-negotiables at scale: permission-aware retrieval, tenant isolation, multilingual handling, and graceful degradation when a dependency is slow or down

Balance latency, quality and cost, for example what runs on the fast path versus what is allowed on the slow path

Make search observable: tracing, relevance dashboards, and a clear way to debug why a result did or did not appear

Lead technical strategy and architecture, and document key decisions so others can build on them

Take ownership of major technical decisions, proactively addressing bottlenecks and ensuring product quality

Work with Product and Design to turn user problems into measurable search improvements

Contribute to technical roadmaps with engineering leadership, and coordinate with teams that feed or consume search (content, integrations, Navigator)

Mentor and guide engineers through code reviews, design discussions and experiment reviews

Foster a culture of ownership, technical excellence and continuous improvement with teams that feed or consume search (content, integrations, Navigator)

What you need to be successful

Proven track record as a Staff Engineer or Technical Lead with strong leadership and problem-solving skills

Proven experience building production search or retrieval systems (OpenSearch, Elasticsearch, Solr or similar), including relevance tuning, analyzers, and index design

Hands-on experience with modern retrieval: vector/kNN search, hybrid fusion (e.g. RRF), cross-encoder reranking, chunking and embeddings; ideally RAG or LLM-grounded answers

A measurement mindset: you've built or used relevance evaluation (recall, MRR, nDCG, golden sets, LLM-as-judge with human checks) and can tell a real improvement from noise

Strong understanding of multi-tenant architecture and permission-aware retrieval, with good judgment on security and isolation in search

Experience with latency-sensitive systems: budgets, timeouts, caching, fallbacks and degradation

Extensive experience with Kotlin/Java (or Go) on the backend; comfortable with React/TypeScript on the frontend

Knowledge of architecture and design patterns, and the judgment to make trade-offs and weigh their long-term impact

Strong communication skills, able to explain relevance and ranking trade-offs to technical and non-technical stakeholders

Experience working with Product and Design leaders to deliver customer value in an Agile environment

Passion for building high-quality software

Passion for diversity and inclusion, and the ability to foster a culture where everyone's voice is heard

Requirements

• Multilingual search (analyzers, language detection, cross-language retrieval)
• Query understanding: rewriting, expansion, typeahead and spell correction
• Prompt-injection and data-poisoning awareness in RAG systems
• Experience with LLM observability and evaluation tooling
• What you'll get
• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support - we offer offering a company pension scheme
• Volunteers Day - you’ll get one day off per year for supporting a social project