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Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid THE ROLE AND IMPACT This is a role for a search specialist who wants to work at genuine scale. As a Senior Engineer on Xero's Search team, you will help maintain and evolve one of the largest search clusters in the Southern Hemisphere; part of an entire vertical stack delivered to customers. The work is both meaningful and technically stretching: keeping 50+ million searchable documents and 400 terabytes of searchable data at global scale running at 99.9% uptime, whilst contributing to a significant four-year platform rebuild that will shape the next generation of Xero's growth. Currently serving over 200,000 daily active users, this is a product at meaningful scale. Beyond the day-to-day, this role is about real ownership. You will contribute across both search-specific and generalist engineering work, raise and review pull requests, and lead projects. If you are someone who cares about quality and gets energised by hard problems at scale, this is a place where your work will genuinely matter. THE TEAM AND HOW THEY CONNECT The Search team is a small, tight-knit group spread across Melbourne, New South Wales and New Zealand, now part of Xero's Catalyst platform division. You will partner closely with this experienced group who are building the next generation of search infrastructure, a dedicated Product Manager, a Principal Architect, and the Catalyst Platform team who coordinate changes and releases across services. The team brings a high-quality mindset to everything they do, and solves challenging technical problems together. THE TEAM IS CURRENTLY WORKING ON - A large-scale search platform rebuild (Horizon 2) – a multi-year project at the heart of Xero's infrastructure, addressing critical infrastructure limits and building a scalable future - Maintaining and evolving the cluster to keep systems running at 99.9% uptime whilst serving over 200,000 daily active users - Integrating with the ODL (Operational Data Layer) on the ingestion pipeline for the new platform - Exploring new partnership opportunities with Mobile, Files, and AI-adjacent search capabilities as the platform evolves WHERE AND HOW YOU CAN WORK This role can be based in Australia or New Zealand. You will have genuine flexibility in where you work day to day. The team comes together in Melbourne approximately every six months; a chance to connect, align, and spend time in person with colleagues across regions. Xero also offers boost days, giving you the option to work from the office and collaborate with the broader Xero community when it suits you. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring strong search engineering experience and know what it takes to build, maintain and scale search systems in a production environment handling hundreds of millions of documents - Solid software engineering and development fundamentals are part of your toolkit, and you are comfortable contributing to both search-specific and generalist engineering work - Quality comes first for you – you hold a high bar for the code you write and review, and care about doing things properly - Working collaboratively with others comes naturally to you, whether that is with engineering, product or infrastructure teams across a distributed environment -

Location: Belgrade; London Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems. Responsibilities - Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available. - Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely. - Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate. - Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring. - Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity. - Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome. Qualifications - Deep understanding of search or recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine learning and software engineering skills across data, models, serving, and monitoring. - Ability to drive ambiguous, cross-team problems without continuous task decomposition. - Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer Managing Kubernetes clusters across multiple environments and regions Owning infrastructure as code for all resources Maintaining and improving CI/CD pipelines and GitOps-based deployments Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors Building out monitoring, alerting, and observability Debugging production issues across services Managing cloud costs and capacity planning Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for 5-8 years in a DevOps or platform engineering role, working in production environments Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale Strong Kubernetes experience in a managed cloud environment Proficiency with infrastructure as code (Terraform or similar) Experience with GitOps-based deployment workflows Built or maintained observability stacks (logging, metrics, alerting) Experience handling production incidents calmly and methodically Nice to have: Multi-region deployments Search infrastructure Data pipeline experience (streaming, warehousing) Proxy/networking infrastructure at scale Why Tavily? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform - the web access layer for AI systems. You can think of this as Google search, but for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines. We are designing these systems to search and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval, ranking and passage extraction under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24/7. This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. In the first year, you will own a specific part of the search stack, e.g. ranking or iterative retrieval. What you'll work on: Designing an agent-native search system that handles everything from low-latency single-hop search to complex deep search tasks requiring iterative planning, querying, refinement and reasoning. Training ranking and retrieval models optimized for agent-driven workflows under real world constraints Bringing the latest advances from the research community to our search stack and ship it to production. Your responsibilities: Drive applied research and technical direction across retrieval and ranking systems Design and evolve multi-stage retrieval architectures (query understanding, rewriting, retrieval, reranking and iterative retrieval) Lead experimentation on modern retrieval approaches (embedding research, sparse and hybrid retrieval, reranking, context compression) and bring them into production Develop methods for grounding LLMs in real-time web data at scale, using trust, quality and freshness signals to surface reliable sources Partner with the evaluation team to define new metrics for agentic systems, where correctness is not reducible to clicks Analyze trade-offs across relevance, latency, and cost, and work closely with engineering to deploy systems that operate at web scale Mentor researchers and engineers and help raise the technical bar of the team Must haves: 8+ years of experience in applied AI, ML, or software engineering Proven track record of shipping ML or AI systems to production at scale Deep experience with search, retrieval, ranking or building RAG-based assistants Strong understanding of modern deep learning, especially transformers and embeddings Experience with LLM-integrated or knowledge-intensive systems Experience designing evaluation frameworks and metrics for ML systems Strong programming skills in Python Top-tier publications ( ICLR , ICML , NeurIPS, AAAI , EMNLP , ACL ) Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy Nice to haves Background in agentic AI systems (agents, tool use, autonomous workflows) Experience with RL post-training of LLMs or VLMs Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City Workplace: Hybrid About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: US Remote Workplace: Remote About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead the Search Platform team. This team builds the search stack behind Claude: the indexes, retrieval and ranking systems and serving infrastructure that power web search across claude.ai , the API and agentic surfaces. Search is core to how Claude answers questions about the world, and the team owns both the problem and the solution end to end: growing the index, improving retrieval quality and running the serving stack at production scale. The same platform also serves research workloads, so demand comes from multiple user surfaces, often at the same time. The role carries a product dimension. Search sits close to the user experience and PM coverage is thin at times, so often the EM helps decide what a good search experience looks like, not just how to build it. You'll partner with product teams shipping search-backed features, research teams that depend on retrieval quality and capacity, and the infrastructure teams that run the systems underneath. We're looking for someone with real search experience who can be hands-on when needed: reviewing designs, digging into relevance regressions and holding their own in technical debates. Key Responsibilities Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving Own the strategy and roadmap for the platform and how Claude's search needs are met over time Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions Drive cross-team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly Be hands-on where it matters: design reviews, incident follow-ups and the occasional deep dive into why relevance moved Recruit, close and retain strong engineers in a competitive market Minimum Qualifications Significant experience managing engineering teams, including hiring and growing a team through rapid change Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving Enough technical depth to be hands-on when needed; you can review designs, read code and engage credibly with senior ICs A product mindset and comfort making product calls when there isn't a PM in the room A track record of running high-scale, latency-sensitive production systems with real reliability requirements Strong cross-functional skills; you can align product, research and infrastructure partners with different priorities Experience recruiting and closing senior engineers Interest in AI safety and Anthropic's mission Preferred Qualifications Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs Background in embeddings, ranking models or ML-based retrieval Experience migrating traffic off a vendor onto in-house infrastructure Exposure to LLM products and the retrieval demands of large-scale training and inference The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA BDR/SDR – Brave Search API Remote - USA preferred About Brave Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, a private ad network (opt-in!) that directly rewards you for your attention, and a browser-native AI integration focused on keeping private data private. And we’re just getting started. Already 120 million people have switched to Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! The Role We are looking for a driven BDR/SDR  to help us expand our footprint in the developer and enterprise markets and create our internal lead generation process. As a BDR for the Brave Search API, you will be the first point of contact for potential enterprise and developer users. Your primary goal is to identify, qualify, and schedule meetings for our Account Executives, focusing on organizations looking to integrate privacy-centric search capabilities into their products. You will play a critical role in driving revenue growth by connecting our technology with businesses that value user privacy. Key Responsibilities Prospecting: Identify and research potential clients (SaaS companies, media outlets, developer tools) that would benefit from integrating the Brave Search API. Outreach: Execute multi-channel outreach campaigns (email, LinkedIn, cold calling) to engage CTOs, Product Managers, and Lead Developers. Qualification: Conduct discovery calls to understand technical requirements, pain points regarding current search providers, and budget authority. Pipeline Management: Maintain accurate records of all activities and leads in our CRM (e.g., Salesforce/HubSpot). Collaboration: Work closely with the Marketing and Product teams to refine messaging and stay updated on new API features and use cases. Market Intelligence: Gather feedback from prospects to help shape the product roadmap and sales strategy. Qualifications Experience: 1–3 years of experience in BDR/SDR roles, preferably in B2B SaaS, API/Developer Tools, or Privacy Tech. Communication: Exceptional written and verbal communication skills; ability to explain technical concepts to non-technical stakeholders. Tech Savviness: Familiarity with APIs, developer ecosystems, or the ability to quickly learn technical product details. Mindset: A strong belief in the mission of online privacy and user data sovereignty. Tools: Proficiency with CRM software, LinkedIn Sales Navigator, and outreach automation tools. Compensation - $65K-70K base salary plus commission and benefits Why Join Brave? Industry-leader in privacy, with a research and engineering team that’s innovating everyday to keep people safer online and beat Big Tech Highly competitive salaries & benefits, and generous home-office stipends Fully remote team (no office, no commute) Minimal meetings Welcoming, humble, ridiculously smart teammates, and a truly flat org structure Opportunity to get in early at a hyper-growth company, and revolutionize the web Oh, and did we mention Brendan, our CEO & co-founder, invented JavaScript? Check us out LinkedIn | Glassdoor | brave.com

Location: Israel; Netherlands; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — проектирование модуля, который объединяет результаты из поисковых систем — написание эффективных обходов графа с ограничениями по времени — реализация кэширующих стратегий для графовых запросов — оптимизация работы с памятью и GC — разработка асинхронных пайплайнов для параллельных вызовов движков — настройка гибридного ранжирования через кастомные скоринговые функции — интеграция векторного поиска через Java-клиенты — написание запросов к FastGraph — внедрение ранжирующих моделей — сборка фичей для модели — мониторинг качества поиска. Требования: — java core: многопоточность, NIO, работа с коллекциями, понимание JVM и GC — опыт написания высоконагруженных сервисов — понимание алгоритмов ранжирования, опыт настройки гибридного поиска (текст + вектора) — практический опыт обхода графов — понимание метрик качества поиска, умение работать с ранжирующими моделями.

Location: Remote Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Requirements - Strong experience building and owning production backend services in Python - Strong SQL skills and confidence working with data-heavy systems (analytics, metrics, logging) - Experience with monitoring, alerting, and debugging user-facing systems - Ability to ship maintainable software (tests, code review, incremental delivery) NICE TO HAVE - Knowledge of SEO fundamentals - Experience with APIs & auth (OAuth2, GA4 and Google Search Analytics API) - Experiente working with non-structured data (referrers, canonical URLs, page types) - Experience building data integrations between products - Understanding of ETL/ELT workflows on PySpark   BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget - refreshed each year for every employee - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR AT CONSTRUCTOR.IO http://Constructor.io WE ARE COMMITTED TO CULTIVATING A WORK ENVIRONMENT THAT IS DIVERSE, EQUITABLE, AND INCLUSIVE. AS AN EQUAL OPPORTUNITY EMPLOYER, WE WELCOME INDIVIDUALS OF ALL BACKGROUNDS AND PROVIDE EQUAL OPPORTUNITIES TO ALL APPLICANTS REGARDLESS OF THEIR EDUCATION, DIVERSITY OF OPINION, RACE, COLOR, RELIGION, GENDER, GENDER EXPRESSION, SEXUAL ORIENTATION, NATIONAL ORIGIN, GENETICS, DISABILITY, AGE, VETERAN STATUS OR AFFILIATION IN ANY OTHER PROTECTED GROUP. STUDIES HAVE SHOWN THAT WOMEN AND PEOPLE OF COLOR MAY BE LESS LIKELY TO APPLY FOR JOBS UNLESS THEY MEET EVERY ONE OF THE QUALIFICATIONS LISTED. OUR PRIMARY INTEREST IS IN FINDING THE BEST CANDIDATE FOR THE JOB. WE ENCOURAGE YOU TO APPLY EVEN IF YOU DON’T MEET ALL OF OUR LISTED QUALIFICATIONS. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent. ‌ In this position, your responsibility will be to: Design and operate the billing platform end to end, from usage events to invoices Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts Design and operate prepaid credit/wallet systems with auto top-up and balance management Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct Lead the migration to the next generation of our billing system with no revenue loss or downtime Define observability and quality metrics for billing correctness, freshness, and throughput Ensure billing systems meet audit and compliance requirements ( SOX , financial audit) ‌ What we're looking for : 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic Hands-on experience with subscription / recurring billing alongside usage-based models Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora) Strong expertise in Python and TypeScript/Node (Go a plus) Production experience with transactional databases (Postgres or equivalent) for financial-grade data Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery) Owned billing correctness in production: reconciliation, idempotency, invoice accuracy Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users Hands-on with Auth0, Okta, or similar identity systems in production Shipped revenue systems under SOX or financial audit constraints Nice to have: Led a billing system migration or re-platform with zero revenue loss or downtime Built hybrid billing combining usage, subscriptions, and prepaid in one system Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb) Billed a developer-facing / API product with pay-as-you-go and API-key metering Used Snowflake for usage aggregation and revenue analytics Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Belgrade Workplace: Hybrid Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across the all parts of the search stack. You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production. This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals to improve relevance, recall, freshness, and overall result quality. In this position, your responsibility will be to Design, implement, and operate the retrieval system for a search vertical Connect and tune the data pipeline, from ingestion to relevance tuning Build knowledge-graph and entity-resolution layers: entity linking / NER , ontologies, and graph databases (Neo4j or similar) Develop structured-extraction pipelines over messy, unstructured domain data Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it Define evaluation and quality metrics for relevance and drive measurable improvements Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met Enable safe experimentation with retrieval, ranking, and extraction strategies You may be a good fit if you have: 6+ years of software engineering experience, some of it in search / information retrieval Strong IR fundamentals: inverted indexes, BM25 / TF-IDF , query understanding, ranking, and evaluation (nDCG/ MRR /recall@k) Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models Experience building structured extraction over messy/unstructured domain data Fluent in Python and comfortable with systems-level performance work Strong candidates may also have experience with: Knowledge graphs: entity resolution, entity linking / NER , graph DBs (Neo4j), ontologies / schema design Owning relevance / ranking for a real product and improving it against IR metrics Data quality, truth discovery, or systems that decide how much to trust a piece of information Published work on IR , ranking, or knowledge graphs Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer Managing Kubernetes clusters across multiple environments and regions Owning infrastructure as code for all resources Maintaining and improving CI/CD pipelines and GitOps-based deployments Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors Building out monitoring, alerting, and observability Debugging production issues across services Managing cloud costs and capacity planning Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for 5-8 years in a DevOps or SRE role, working in production environments Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale Strong Kubernetes experience in a managed cloud environment Proficiency with infrastructure as code (Terraform or similar) Experience with GitOps-based deployment workflows Built or maintained observability stacks (logging, metrics, alerting) Experience handling production incidents calmly and methodically Nice to have: Multi-region deployments Search infrastructure Data pipeline experience (streaming, warehousing) Proxy/networking infrastructure at scale Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale. This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time. The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time. You’re welcome to work hybrid from Tel Aviv, Israel. Your responsibilities will include: Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. We expect you to have: 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. It will be an added bonus if you have: Experience in search, information retrieval, NLP, or adjacent domains. Background in API-first or developer-platform businesses with both PLG and enterprise motions. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. People management or mentoring experience (building the skills of other PMs). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware. The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs. ABOUT THE JOB Your primary focus will be relevance evaluation and quality improvements: - LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior. - Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant. - Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations. WHAT MAKES THIS INTERESTING - Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides. - No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means. - Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base. REQUIREMENTS - 4+ years shipping production ML systems - Experience with search, information retrieval, or recommendation systems - Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments - Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow) - Experience designing and running A/B tests to validate model impact - Excellent English communication skills - Experience collaborating in cross-functional teams (ranking, product, data engineering) BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.