[{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager, Data & Analytics","description":"

About Staffbase

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.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers—reaching over 16.4 million employees—in transforming their employee experience.
We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.

Engineering Manager – Data & Analytics

As Engineering Manager for our Data & Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.

You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation — with enough technical grounding to make sound decisions and mentor engineers day to day.

Our environment

Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team
While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.
You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.
Data governance for AI agents is an emerging and fast-growing priority — a technically exciting area we're starting to build into

What you'll be doing

Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture
Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises
Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both
Bring hands-on experience in Data streaming to guide the team through an active transition
Raise the bar on data modeling across the team
Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data
With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed
Build the foundations for AI data governance — as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data

What you need to be successful

Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people
A genuine player-coach mindset
Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams
Solid data modeling skills and the credibility to make it a team-wide standard
Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking
Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership
Comfort operating across both platform and product delivery contexts

Nice to have

Experience with data governance for AI agents — guardrails, access control, and safety considerations for agentic analytics
Familiarity with data lakes, semantic layers, and orchestration tooling at scale
Experience in a product-led B2B SaaS environment
Hands-on streaming experience (e.g. Kafka or Flink)

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

$\"\"$

","datePosted":"2026-07-03T09:03:34.000Z","validThrough":"2026-08-02T09:03:34.000Z","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Staffbase"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chemnitz","addressCountry":"DE"}},"identifier":{"@type":"PropertyValue","name":"Staffbase","value":"gh_staffbase_8619079002"},"directApply":false,"url":"https://staffbase.com/jobs/link/8619079002/?gh_jid=8619079002"},{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Product Manager","description":"

About Staffbase

At Staffbase, the search experience is one of the most strategically important problems we’re solving. Our stream is responsible for two deeply connected products: Hybrid Search — our next-generation search intelligence combining keyword and semantic search — and Navigator, the AI assistant that employees interact with directly.

We’re looking for a Senior Technical Product Manager to own Hybrid Search end-to-end: from our upcoming GA release through the next stage of expansion into enterprise-grade, multi-platform search intelligence. This is one of the top initiatives in the company, with high visibility to senior leadership and a meaningful impact on how millions of frontline employees find the information they need — whether they’re at a desk or on the go as a nurse, technician, or field worker.

This is a role for someone who finds depth and craft in growing and maturing a technically complex product, negotiating priorities with a senior engineering team, and continuously keeping the end user front and centre even when the work gets deeply technical.

What you’ll be doing

Own the transition from GA release to the next phase — incorporating early customer feedback, defining what gets fixed vs. what gets expanded, and driving a clear prioritization call on roadmap direction
Establish the right success metrics for search: balancing technical performance signals with genuine user value
Work closely with the AI Assistant team to ensure search intelligence keeps pace with what the assistant surfaces
Expand search coverage: video subtitle indexing, richer content types, deeper platform integrations (SharePoint, Confluence, and beyond)
Build toward enterprise search: connecting Staffbase to the knowledge bases customers already use
Drive re-ranking improvements and relevance quality as the product matures
Help define what it means for an employee to find the right information, at the right time, from any device

What you need to be successful

5+ years of product management experience, ideally with exposure to search, information retrieval, or AI/ML-powered products
B2B SaaS background strongly preferred — you understand enterprise customers, IT stakeholders, and the complexity of integrations
Demonstrated ability to work on technically complex products while keeping user needs visible and central
You find satisfaction in iterating, improving, and maturing a product, not just launching it
Confident and opinionated: you can hold your own with a senior, highly technical engineering team and negotiate priorities accordingly
Technically fluent: you don’t need to write code, but you need to understand how search infrastructure, indexing, and ranking work well enough to have credible conversations about trade-offs
User-oriented: even on a deeply technical product, you know how to tie performance metrics back to what actually matters for the end user

Highly desirable

Experience with semantic or vector search — you understand embeddings, retrieval models, and the difference between keyword and meaning-based matching
Familiarity with search relevance and re-ranking — you know what it takes to tune results quality and can have an informed conversation about signals, scoring, and trade-offs
Experience working with indexing pipelines — understanding how content gets ingested, structured, and made searchable
Exposure to enterprise knowledge integrations — connecting a search layer to external platforms like SharePoint, Confluence, or similar knowledge bases
Awareness of AI-generated summaries or answer synthesis — you’ve worked on or alongside products that generate a direct answer from retrieved results
Familiarity with search evaluation frameworks — you’ve thought about offline evaluation, human judgment, and metric design beyond just click-through rate

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

$\"\"$

","datePosted":"2026-06-30T08:07:32.000Z","validThrough":"2026-07-30T08:07:32.000Z","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Staffbase"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chemnitz","addressCountry":"DE"}},"identifier":{"@type":"PropertyValue","name":"Staffbase","value":"gh_staffbase_8605815002"},"directApply":false,"url":"https://staffbase.com/jobs/link/8605815002/?gh_jid=8605815002"},{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer, Data & Analytics","description":"

About Staffbase

As a Staff Engineer in our Data & Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.

Our environment

Work alongside skilled, data-passionate engineers in a team that values collaboration
A flexible, agile environment with a strong focus on work-life balance
You will have real ownership and influence over data architecture
We are building toward a distributed, self-service data platform model – you will help shape how that evolves.
Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.

What you'll be doing

Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders
Support and develop a team of 4–5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.
Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance – building a solid base for AI and analytics features
Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing
Apply and advance strong data modeling practices across the platform.
Prioritize and mediate effectively with product stakeholders – advocating for the right technical decisions and sequencing of work
Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership
Collaborate across the broader staff engineering community on cross-cutting architectural decisions

What you need to be successful

Proven experience at Staff Engineer level or equivalent in a data engineering context
Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.
Experience with streaming technologies (e.g. Kafka) – hands-on exposure is a strong plus
Solid data modeling skills and the ability to raise this as a team-wide standard.
Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.
Python proficiency and comfortable working across a modern data stack
Strong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams
A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.
Leadership experience or ambition: you are comfortable guiding engineers and driving delivery

Nice to have

Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics.
Prior exposure to self-service data platform models and distributed data ownership strategies.
Experience in a product-led SaaS environment.

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

$\"\"$

","datePosted":"2026-06-30T05:36:16.000Z","validThrough":"2026-07-30T05:36:16.000Z","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Staffbase"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chemnitz","addressCountry":"DE"}},"identifier":{"@type":"PropertyValue","name":"Staffbase","value":"gh_staffbase_8613052002"},"directApply":false,"url":"https://staffbase.com/jobs/link/8613052002/?gh_jid=8613052002"},{"@context":"https://schema.org","@type":"JobPosting","title":"Security Engineer, Product Security","description":"

About Staffbase

At Staffbase, security is at the heart of everything we build. Our Product Security team helps keep our products and customer data secure while enabling engineering teams across the company. We believe the best security work happens when people bring their authentic selves and diverse perspectives to the table and we’re proud of the unique mix of talents and backgrounds in our team.

As an enablement team, we provide tools, guidance, and insights that allow developers to integrate security early in the development process. We see security not as a blocker but as a trusted partner that is the foundation for better products. With us, you’ll get hands-on experience with modern security practices, mentorship from experienced engineers, and the chance to make a visible impact in a global SaaS environment.

We work together with curiosity, humility, and a growth mindset, supporting each other, taking ownership of our contributions, and celebrating progress along the way. Here, your ideas matter, your work will shape how we build secure products, and you’ll have space to grow into new challenges.

What you’ll be doing

Take ownership of tasks that improve our security automation and strengthen our product security pipelines
Proactively explore the use of AI for vulnerability detection and remediation
Continuously learn and share knowledge about how vulnerabilities apply in our specific product context
Support the team by enhancing our services with software engineering solutions
Collaborate closely with stakeholders across the product department and gain broad exposure to how a growing SaaS company operates
Maintain our outbound e-mail security by regularly reviewing the related metrics
Maintain our Web Application Firewall ruleset
Maintain our central HTML sanitization service written in Typescript

What you need to be successful

Practical knowledge of security topics (e.g. penetration testing, secure software development, vulnerability management, SAST, DAST)
Programming knowledge, preferably one of the following: TypeScript, JavaScript, Kotlin, Java, Go, or Python
Practical knowledge of Unix basics and Kubernetes infrastructure, preferably managed via Terraform and Kustomize
Strong communication skills in English (German is a plus)

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’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

$\"\"$

","datePosted":"2026-06-29T21:42:22.000Z","validThrough":"2026-07-29T21:42:22.000Z","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Staffbase"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chemnitz","addressCountry":"DE"}},"identifier":{"@type":"PropertyValue","name":"Staffbase","value":"gh_staffbase_8612862002"},"directApply":false,"url":"https://staffbase.com/jobs/link/8612862002/?gh_jid=8612862002"}]

English-Speaking Jobs in Chemnitz

Job listings

Engineering Manager, Data & Analytics

Senior Technical Product Manager

Staff Engineer, Data & Analytics

Security Engineer, Product Security