Applied Research Intern

Weaviate

ABOUT WEAVIATE Weaviate is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. ABOUT THIS ROLE The Weaviate Database is the open-source engine behind how developers store, search, and work with AI-native data. It’s the foundation that Weaviate Cloud, Query Agent, and Engram are built on. As the product lead, you'll own direction across the full stack: storage and schema, production scale, developer integrations, and search quality. You'll be the connective tissue between engineering and the business, translating customer needs into requirements, sequencing work across teams, and making sure what ships lands well in market. WHO WE’RE LOOKING FOR You thrive in technically complex domains and know how to earn the trust of engineers. You care as much about why customers need something as what they're asking for, and you'll push back when the ask doesn't match the underlying problem. You bring structure to ambiguity without creating bureaucracy, and you treat a clear roadmap as a forcing function for good decisions, not a planning ritual. You're a strong communicator, moving fluidly between customer discovery, cross-team coordination, and GTM partnership. You're aligned with our company values and bring a collaborative mindset and a bias toward shipping. RESPONSIBILITIES Own Roadmap and Strategy * Own the Weaviate Database roadmap: prioritize across engineering teams, make tradeoffs explicit, and keep the plan grounded in customer reality * Partner with Weaviate Cloud teams to ensure the database roadmap surfaces the capabilities they depend on * Define success metrics for major features and track outcomes post-ship Build and Scale Weaviate Core * Drive product direction across schema, storage, filtering, replication, cluster topology, and migrations * Translate customer and operational pain into clear requirements and sequence dependency-heavy work across releases Ship Cutting-Edge Capabilities * Translate applied research outcomes for search quality, compression, and new retrieval modes into shippable features with clear use cases * Ensure new capabilities are positioned around real customer problems, not just technical novelty Empower Developer Adoption * Shape how developers integrate with and build on Weaviate with MCP, client SDKs, and future integrations * Run ongoing discovery with developers and enterprise customers to reduce time-to-value and bring customer context into engineering * Partner with GTM to ensure new capabilities ship with the positioning needed to land well REQUIREMENTS * 5+ years of product management experience, with at least 2 years on a developer-facing or infrastructure product * Proven ability to own a complex technical roadmap across multiple workstreams * Strong written communication skills, both verbal and written * Experience running customer discovery and translating qualitative signal into product decisions * Comfortable working in distributed systems or data infrastructure domains * Track record of cross-functional collaboration across engineering, design, and GTM NICE-TO-HAVES * Experience with databases, search infrastructure, or AI/ML developer tooling * Familiarity with vector search, embeddings, or RAG workflows * Experience at a developer tools or open source company * Background working with enterprise customers alongside a self-serve or community motion WHAT WE OFFER * 100% remote with flexible work hours. * Competitive compensation, including paid time off. * Budget available to spend on going to conferences, co-working space, home office equipment, etc. * Work with very experienced and fun team members. * An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. * You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

Roboyo

Roboyo AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.  Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.  We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.    About the Role  We are building something that most professional services firms talk about but rarely execute well: a systematic ability to turn the work we do with clients into durable, scalable intellectual property. This role is at the center of that effort.  As part of our Global Capabilities team, you will be responsible for identifying, extracting, and developing the IP embedded in our delivery work — transforming client-specific solutions into assets that range from rich case studies and methodology frameworks to reusable solution components and, in the most valuable cases, into market-ready products that can be deployed across clients with minimal rework.  This is not a commercial/marketing role, and it is not a delivery role. It sits deliberately between the two: close enough to delivery to understand what we build, commercially minded enough to know what's worth packaging and how  What You'll Do: IP Identification & Prioritization  Work closely with Capability owners and delivery leads to develop a view of what we are building across client engagements and assess its reuse potential. Not everything becomes IP — part of the role is developing a sharp instinct for what does, based on technical generalizability, commercial applicability across industries or clients, and the feasibility of abstraction.  Asset Development  Own the end-to-end process of turning delivery outputs into structured assets. This spans a wide spectrum:  - Knowledge assets: solution pattern libraries, methodology documentation  - Enablement assets: playbooks, accelerators, and reference architectures for delivery teams  - Reusable components: parameterized workflows, app templates, and configuration guides designed for multi-client deployment  - Market-ready products: industry-specific solutions packaged for sale, with defined deployment scope, configuration documentation, and commercial positioning  Offerings Development  Collaborate with Capability leadership to define and evolve our go-to-market offerings — translating our capability depth into clearly scoped, well-positioned services that delivery teams can sell and execute against consistently.  Delivery Team Enablement  Ensure that the assets you develop are actually used. This means working with delivery teams to embed reusable components into their ways of working, not simply publishing them to a repository. You will need to earn adoption rather than mandate it.  IP Roadmap Management  Maintain a view of our IP development pipeline — what is in progress, what is planned, what has been validated in the market. Communicate this clearly to leadership and flag where emerging client work could accelerate the roadmap.  What We're Looking For:  Abstraction & Productization thinking  The single most important capability for this role is the ability to look at something built for a specific client, in a specific context, and identify the transferable, generalizable pattern within it. This is the ability to ask: "If we stripped out everything client-specific, what would remain — and who else would pay for that?" This mindset is difficult to teach and is the primary thing we will be assessing.  Commercial & Market Instinct  You understand how professional services firms create and capture value, and you have a view on what makes an offering compelling to buy. You can distinguish between IP that is impressive internally and IP that a client would actually pay for or find useful enough to accelerate a sale.  Technical Fluency in the Agentic AI/automation/low-code application space  You do not need to be a developer, but you need to understand enough about how AI-infused low-code applications and automated workflows are built to have a credible conversation with the people who build them. You should be able to look at a solution design or workflow architecture and understand what is configurable, what is hardcoded, and what would need to change to make it reusable.  Influence Without Authority  This role succeeds or fails on your ability to get delivery teams — who are busy, client-focused, and not naturally incentivized to pause and document — to engage with the IP process. You will need to make it easy and worthwhile for them, build genuine credibility with technical practitioners, and work with leadership to create the right structural conditions.  Structured Thinking & Documentation  You write clearly and think in frameworks. You can take a complex, contextual delivery output and distil it into something structured, portable, and usable by someone who wasn't in the room.  Experience We're Looking For: Strongly Relevant  - Experience in a practice development, Centre of Excellence, or offerings/capability function within a technology services firm  - Involvement in building accelerators, starter kits, reference architectures, or industry-specific solution templates — at any scale  - Work at a software vendor in a solutions, pre-sales, or industry solutions capacity, where packaging and positioning capabilities for reuse was a core part of the job  - A background as business analyst where your job was to clearly define the problem a client (external or internal) was trying to solve and translating that into an equally clear solution design that would fulfill the business need.  Useful But Not Required:  - Hands-on experience with low-code or agentic automation platforms (Power Platform, UI Path, Appian or similar) — even at a configuration or business analysis level  - Experience working on AI-infused products or workflows  - Exposure to commercial pricing and packaging of technology services or products  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/

Constructor Knowledge Labs

Constructor Knowledge Labs (CKL), Bremen, Germany In collaboration with Constructor University and Constructor Technology Duration: Flexible ABOUT THE POSITION Constructor Knowledge Labs (CKL) invites applicants for a research internship in the area of knowledge discovery and representation, with a focus on transforming unstructured data into interpretable, navigable, and actionable cognitive structures. The internship is embedded in an active research direction jointly developed with Constructor University and Constructor Technology, exploring how modern AI systems (particularly large language models and graph-based methods) can be used to construct shared cognitive maps from heterogeneous knowledge sources such as scientific publications, educational materials, and digital artifacts. The intern will work closely with researchers and engineers on ongoing research activities, contributing to the design, implementation, and evaluation of methods for knowledge representation, semantic structuring, and adaptive reasoning. The position offers hands-on exposure to applied research at the intersection of AI, knowledge graphs, and human-centered knowledge systems. ---------------------------------------------------------------------------------------------------------------------------------- MAIN RESPONSIBILITIES: * Prepare and organize research data, including text collections, research publications, datasets, and related metadata, for use in analytical and modeling tasks. * Work with unstructured and semi-structured data, supporting its analysis and transformation into structured representations such as knowledge graphs, semantic annotations, or concept mappings. * Assist in selected research experiments and analytical tasks related to knowledge discovery, reasoning, or information extraction, under supervision. * Conduct literature review and support research documentation, with potential contribution to internal reports or academic publications. ---------------------------------------------------------------------------------------------------------------------------------- REQUIREMENTS: * Currently enrolled in a BSc or MSc program in Computer Science, Data Science, AI/ML, or a closely related field. * Solid programming skills, preferably in Python. * Basic familiarity with machine learning concepts and data processing workflows. * Strong analytical thinking and interest in research-oriented work. * Good written and spoken English. ---------------------------------------------------------------------------------------------------------------------------------- WE OFFER * Research internship with flexible duration in an international, interdisciplinary research environment. * Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution. * Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations. * Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals. * Flexible working arrangements, including hybrid or remote options. ---------------------------------------------------------------------------------------------------------------------------------- APPLICATION DETAILS Please submit the following documents in English: * CV * Short motivation letter (max. 1 page) explaining your interest and relevant skills * Transcript of records (GPA obligatory) Deadline for full consideration: Applications are reviewed on a rolling basis