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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: Remote (Global); Brooklyn, NY Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. About the Role Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the Avalanche blockchain and its ecosystem. Ava Labs is hiring a Staff Engineer into the Platform Engineering Group to serve as a full-time maintainer of AvalancheGo and the technical anchor for the node domain: consensus, peer-to-peer networking, state sync, the VM plugin interface, and the node's integration with the C-Chain EVM (coreth and libevm). This is a hands-on role that requires an Architect/Solver build, with tech lead responsibilities during coordinated network upgrades. You will own the health of the codebase, set the technical direction of the domain across the teams that build on it, and multiply the effectiveness of the engineers around you. What You Will Do - Own AvalancheGo as its maintainer: Maintain and advance the software powering the Avalanche network, as well as its environments. Manage contributions from both the team and the community in a fair, effective, and thoughtful manner. You hold the merge bar for network-critical code; assess contributions from the team and the community fairly and quickly, and steward backwards compatibility for the node operators and Avalanche L1 builders downstream of every release. Your review will be the last gate before code reaches every validator. - Set and enforce engineering standards. Define what production quality means for the team. - Design, build, and advance Avalanche’s critical systems. You’ll be contributing directly to the critical systems in the Avalanche network: consensus, networking (P2P), state management and sync, the VM interface, and performance of both the network nodes and their EVM integrations. - Champion reliability and production readiness. Establish observability standards (structured logging, metrics, tracing, profiling), define SLOs for node performance, and lead incident review and postmortem culture for network incidents. - Raise and define release quality. Own the engineering lifecycle for network-critical code: versioning and upgrade coordination, backward compatibility, staged rollouts across test networks, and hard test quality metrics (unit, property, fuzz, race-detection, and end-to-end network tests) before anything ships. - Mentorship. Mentor senior engineers into larger scope, run design reviews that measurably change outcomes, and spread your context deliberately so the team can onboard, operate, and extend the node without you.Turn a team of individual contributors into a team with shared standards, shared context, and a high quality ceiling. Becoming a single point of failure is a failure mode of this role, and you will be expected to resist it. - Evangelize the project within the org: Write ADRs, release notes, and technical communications; engage external contributors; and model what a great open source citizen looks like. - Drive protocol direction through the ACP process. You originate and champion Avalanche Community Proposals, represent the node's constraints in protocol design conversations, and position AvalancheGo for upgrades before they activate on Fuji and Mainnet. Your bets play out over 6 to 18 months. What Makes You a Good Fit - A self-starter with insatiable curiosity combined with being comfortable diving into someone else’s code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. - Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. - You believe in growing a culture of excellence. As a Staff Engineer you will set the definition for development standards among your team, as well as cultivating the quality you want to see in the developers you work with. - You understand what makes a great open source project great. Not just in terms of code quality, but in terms of its ecosystem, its community, and its contributors - You have operated at Staff scope before, irrespective of whatever your title said. You can point to a workstream you created rather than inherited, one that other teams came to depend on, and to the case you built to get it funded. - You influence without authority. You have driven technical direction across teams that did not report to you, through alignment and credibility rather than escalation, and engineers from those teams would vouch for it. - You treat the code as the source of truth. You are comfortable diving into a large unfamiliar codebase, discerning its nuances from the source, and making impactful contributions within weeks. - You know what makes a great open source project great: the code quality, and equally the review culture, the contributor experience, and the trust of the ecosystem that depends on it. You have been on the maintainer side of that relationship. - You hold a high bar and make it stick. You have set standards that other engineers actually follow, pushed back when work below the bar tried to land, and done it in a way that made people want to work with you rather than around you. - You still do the unglamorous work visibly. Reviews, on-call, migrations, and documentation remain part of the job at this level, and you treat them as the job rather than a distraction from it. This Role Is Not for You If - You want to write smart contracts or build dapps. This is node and protocol engineering, several layers down. - You want a purely advisory position. - You consider reviews, on-call, migrations, and documentation to be beneath the level. They remain part of the job, done visibly. - You are uncomfortable working in public. Your code, your reviews, your design docs, and occasionally your mistakes will be visible to the entire ecosystem. What You Will Bring - 8+ years of software engineering experience, including 3+ years operating at a staff/lead level (or clearly performing at that scope), with a track record of raising team-wide engineering quality. - Expert-level Go: deep fluency with the concurrency model (goroutines, channels, the race detector), profiling and performance tuning (pprof, benchmarks), module and dependency management, and idiomatic API design in large codebases. - Significant open source experience - maintainer or sustained core contributor on a widely used project, with a public record of reviews, RFCs/design docs, and community engagement (a GitHub profile we can read is worth more than any bullet on a resume). - Proven production experience designing, shipping, and operating distributed systems at scale: consensus or replication, P2P networking, state synchronization, or comparable high-availability systems. - Strong testing discipline across the pyramid: unit, property-based/fuzz, integration, and end-to-end network testing, plus experience building CI that enforces it (GitHub Actions preferred). - Experience with release engineering for software users self-host and cannot be force-upgraded: semantic versioning, backward compatibility, migration paths, and coordinated network upgrades. - Working fluency with Linux-based infrastructure, containerization (Docker/Kubernetes), and observability tooling (Prometheus/Grafana or equivalent). - BS in Computer Science or related field, or equivalent demonstrated experience. (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: Germany; France; Netherlands; Spain Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We are looking for a Mid-Level Security Engineer to own the hands-on engineering and operational work within our security program. You will be embedded in the Cloud Engineering team, report into the Security Officer, and work closely together to identify risks, set priorities, and drive security issues through remediation. You will act as a security enabler across all Product & Engineering. WHAT YOU WILL OWN - Run our public bug bounty program: triage reports, reproduce and validate findings, communicate clearly with security researchers, and drive remediation through to closure. - Investigate reported vulnerabilities at the code level, including our Rust core, Go and Python tooling. - Enable engineers to build secure systems: provide tooling, paved-road defaults, documentation, and practical guidance so security is the easy path, not a checkpoint. - Partner with engineering teams to design, review, and verify fixes, and set clear security requirements on changes where the risk warrants it. - Harden and maintain our GitHub organization’s security posture, including secret scanning, push protection, branch protection and rulesets, dependency alerts, and code scanning, in partnership with the engineering teams that use these repositories daily. - Monitor, investigate, and respond to security alerts across AWS, Kubernetes, CI/CD, and related infrastructure. - Track and report security metrics (vulnerability remediation SLAs, MTTR, patch latency, critical findings) and keep reporting current for the Security Officer. - Implement, configure, and maintain security tooling across our development and cloud environments. - Support security incident response, including investigation, containment, remediation, and follow-up. - Maintain clear, complete, and auditable records of vulnerability and incident work in our tracking systems. - Build security automation and guardrails that scale across the development lifecycle: CI/CD security checks, policy-as-code, GitHub automation, and automated cloud security controls, so secure defaults are enforced by tooling rather than review. - Participate in threat modeling and architecture reviews for new services and major changes. We are also building out our ISMS, which creates opportunities to contribute to security-tooling evaluations, technical vendor assessments, and proof-of-concept work. Formal compliance ownership, vendor risk assessments, and customer security questionnaires remain with the Security Officer. This is a hands-on technical role focused on security engineering, vulnerability management, and incident response. The Security Officer owns compliance, formal third-party risk assessments, and customer security questionnaires, allowing you to focus primarily on engineering work. On-call expectations are low: there is no formal rotation, though occasional availability for high-severity incidents is expected. WHO YOU ARE - You can read and navigate an unfamiliar codebase (Rust, Go, Python) well enough to validate a vulnerability report, trace its impact, and judge whether a proposed fix actually closes it. - You write and maintain automation and security tooling comfortably, and can hold a credible technical conversation in code review. - Experience triaging vulnerability reports or working with a bug bounty program, vulnerability disclosure program, product security team, or similar function. - Practical knowledge of cloud and container security, particularly AWS and Kubernetes. - Familiarity with GitHub security features and securing CI/CD pipelines. - The ability to investigate alerts and vulnerabilities methodically, distinguish genuine risk from noise, and recommend proportionate remediation. - Clear written communication skills for working with external researchers and internal engineering teams. - A self-directed approach and comfort independently managing a security queue. - 3+ years in a hands-on security engineering, product security, or vulnerability management role. Nice to have - An offensive security background, such as penetration testing, CTF participation, vulnerability research, or exploit analysis. - Experience working in an open-source company or contributing security improvements to open-source projects. - Familiarity with cloud-native incident response. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Задачи: — развитие и оптимизация существующих ИИ-агентов — проектирование архитектуры новых компонентов — разработка многошаговых агентных сценариев с использованием LangChain и LangGraph — проектирование логики взаимодействия агентов с LLM, базами данных, внутренними API и корпоративными сервисами — разработка backend-сервисов ИИ-агентов на Python — реализация RAG-сценариев, поиск по корпоративным данным и работу с векторными базами данных — улучшение качества ответов агентов, устойчивость сценариев и корректность использования инструментов — оптимизация производительности, задержки и стоимости LLM-запросов — разработка механизмов хранения состояния, истории диалогов и контекста пользователя — анализ ошибок агентов и устранение причины некорректного поведения — участие в тестировании, мониторинге и подготовке решений к промышленной эксплуатации — взаимодействие с разработчиками, аналитиками и представителями бизнеса при проработке новых сценариев. Требования: — оконченное высшее образование — подтвержденный опыт коммерческой разработки на python от 5 лет — уверенное владение FastAPI или аналогичным Python-фреймворком — практический опыт разработки приложений на базе LLM — опыт работы с LangChain и LangGraph — понимание принципов построения ИИ-агентов: структура запросов, состояние, инструменты, маршрутизация, планирование и выполнение многошаговых сценариев — опыт проектирования архитектуры сервисов и самостоятельной декомпозиции задач — опыт работы с PostgreSQL — опыт работы с векторными базами данных или расширениями для векторного поиска — понимание принципов RAG, embeddings, semantic search — опыт интеграции с внешними и внутренними API — понимание асинхронного программирования в Python — умение писать поддерживаемый код, покрывать критическую логику тестами — способность самостоятельно исследовать проблему, предлагать решение и доводить его до работающего результата — навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом — опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов — инструментальное владение AI для анализа, генерации и автоматизации. Условия: — комфортный современный офис рядом с м. Кутузовская (для офиса Кутузовский 32) — ежегодный пересмотр зарплаты и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного роста — подписка Прайм с возможностью совместного использования на трёх близких — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Finance at seQura runs on data: recurring calculations, regulatory processes, provisioning, reporting cycles, and profitability tracking. As a Senior Financial Product Data Analyst, you'll own the link between how Finance actually works, the KPIs it tracks, and the decisions those KPIs drive, turning that understanding into reliable, self-service data products. This isn't a "receive a ticket, write a query" role. You'll work closely with Finance and Finance Tech teams to understand why a number matters before you model it, then build trusted data products that Finance teams can use independently. Your work will directly improve how Finance operates, helping establish a single source of truth for revenue, enabling self-service reporting, and ensuring the business can make confident decisions based on reliable data. What challenges you'll be solving 🚀 Learn seQura's Finance domain deeply enough to understand which KPIs matter, why they matter, and the business decisions they support—from pricing and provisioning to servicer settlement and product profitability. Design and build production-grade data products, not just queries: dbt models on Redshift, fully documented and tested to Single Source of Truth standards, together with the Metabase dashboards and self-service datasets that sit on top of them. Partner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models. Validate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready. Chase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds. Help close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation. Present findings, recommendations, and new data products directly to Finance leadership, connecting the data back to the business decisions it's meant to support. Contribute to broader Data & AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. What we own The dbt transformation layer across business domains. The Single Source of Truth (SSOT) for key business metrics. Semantic models that enable consistent reporting and analytics. Data contracts and governance standards across domains. Data lineage, documentation, and discoverability. Data quality, testing, and monitoring to ensure trusted data products. Team Structure You'll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. You'll collaborate closely with FP&A, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data & AI team to ensure Finance data is accurate, governed, and easy to consume. How we work We treat data as a product, with clear ownership, quality standards, and consumers. We build self-service data products rather than one-off reports. We understand the business context before building data models—we care as much about why a metric exists as how it's calculated. We work closely with domain experts to turn business knowledge into reusable, trusted data assets. We continuously improve data quality through governance, documentation, testing, and collaboration. What to expect in the next 90 days 🏁 Month 1 Learn seQura's core Finance processes and KPIs, including pricing, provisioning, servicer settlement, and product profitability. Meet stakeholders across Finance and Finance Tech, and become familiar with the existing dbt models and Metabase dashboards supporting Finance. Month 2 Take ownership of your first data quality or reconciliation initiative end-to-end, tracing issues back to their source alongside Data Engineering while contributing to an active dbt model. Month 3 Deliver your first self-service Finance data product—a documented dbt model together with a Metabase dashboard—that Finance stakeholders can use independently, and present your work and recommendations to Finance leadership. Tech stack & environment 🛠️ Our Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. The team uses dbt for transformation and testing, Redshift as the analytical warehouse, and Metabase to deliver self-service reporting. OpenMetadata supports governance and discoverability, while Python and Airflow are used where automation or orchestration adds value. What you’ll need 🤝 Must have: 5+ years of experience as a Data Analyst or Analytics Engineer. Strong hands-on SQL skills. Practical experience with dbt, including data modeling, testing, and documentation. Experience building dashboards and self-service data products using Metabase (or an equivalent BI platform). Demonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic. Strong business mindset, with the ability to connect KPIs to the decisions they support. Fluent English. Nice to have: Experience in fintech, lending, or BNPL environments. Knowledge of provisioning, amortisation, EIR, or IFRS 9. Python for analysis or lightweight automation. Experience with data governance or catalog tools such as OpenMetadata. Experience with orchestration tools such as Airflow. Experience presenting data products directly to Finance or executive stakeholders. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists 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 think is best can lead to great things. JOB SUMMARY We’re looking for a highly technical, systems-minded Senior Product Manager to lead two critical search intelligence teams: Machine Learning & Recall and Query. Search at Constructor is fundamentally an ML challenge, and this role sits at the absolute entry point of our discovery pipeline, right where shopper intent meets candidate retrieval. In this role, you will bridge the Query team (understanding what a shopper means across intent, entities, and language) with the Machine Learning & Recall team (retrieving the exact right set of candidate products across massive catalogs). You will define strategy across both domains, balancing state-of-the-art techniques, such as vector search, semantic parsing, dense embeddings, and LLM-assisted query interpretation, with low-latency production execution. You won’t be measured on shipping features for the sake of it; you’ll be measured on candidate quality, query accuracy, and driving business outcomes like conversion rate, search-attributed revenue, and revenue per visit. WHAT YOU’LL DO - Set a unified roadmap: Define the multi-quarter vision and strategy across both the Machine Learning & Recall and Query teams, ensuring query understanding and candidate generation evolve hand-in-hand. - Drive Query intelligence: Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, intent classification, and LLM-assisted query parsing across multiple languages. - Advance Recall systems: Lead the Machine Learning & Recall team in evolving candidate generation architecture, seamlessly combining traditional keyword search with modern dense embeddings, vector retrieval, and hybrid recall models. - Move core business metrics: Own measurable lift in search-attributed conversion, revenue per visit, and GMV across all retail customer verticals. - Turn research into production wins: Work shoulder-to-shoulder with ML researchers, data scientists, and software engineers to take SOTA models from research to low-latency, cost-effective production systems. - Balance ML performance trade-offs: Make data-backed decisions balancing model complexity, accuracy, inference latency, compute costs, and real-time execution constraints. - Build evaluation frameworks: Establish robust offline and online measurement systems to evaluate retrieval precision and query understanding accuracy against customer revenue outcomes. - Orchestrate pipeline handoffs: Ensure candidate product sets and query context flow cleanly into downstream ranking and search quality models without signal loss. - Solve systemic issues: Lead technical triage when query interpretation or retrieval anomalies occur, building durable, automated fixes rather than one-off patches. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Evolved our hybrid recall framework to measurably improve candidate generation precision for long-tail queries and complex catalog structures. - Driven quantifiable lift in search-attributed conversion and revenue per visit across major customer verticals. - Stood up an integrated evaluation framework connecting query parsing and candidate recall directly to business outcomes. - Optimized inference latency and compute infrastructure to ensure high-capacity ML models run fast and cost-effectively in production. BENEFITS - Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - 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 for every employee, refreshed each year. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. THIS POSITION IS FULLY REMOTE — CONSTRUCTOR.IO http://Constructor.io IS A REMOTE-FIRST COMPANY. 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. 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: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Stebby Sports Compensation or Confido Health Compensation. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Hybrid Work Flexibility. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Psychometric test Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary  Bonuses to reward exceptional performance). • Opportunities to learn and grow through our “Employee Training & Development program”. • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. • Participation in our welfare investment and savings plan through our Provident Fund Scheme. • Birthday and Loyalty benefits. • Collaboration with SportBenefit. What to expect from our recruitment process: First interview HR call Task Assessment Technical interview Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Mayflower is a technology company focused on transforming the live entertainment industry by providing high-quality live streaming experiences. The Design System Designer role involves evolving and maintaining the design system across product and engineering teams. Responsibilities: — Evolve and maintain the existing UI foundation using Figma, Storybook, and code — Design and refine core UI components such as inputs, buttons, form elements, and patterns — Refine and extend a scalable token architecture (primitive → semantic → component) with theming support — Improve alignment between Figma, frontend implementation, and Storybook to ensure product consistency — Contribute to and improve the design-to-code workflow using Figma Variables, Tokens Studio, Style Dictionary, and CI/CD pipelines — Support migration of components toward a token-based structure, prioritizing impactful areas — Help shape and maintain contribution guidelines and system standards for design and engineering teams — Contribute to documentation and knowledge sharing to facilitate system understanding and usage — Explore and support AI-assisted workflows, including structured and machine-readable design system practices

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards. You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage. The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work. Key responsibilities Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off Work directly in research codebases, improving reliability and structure without slowing down the research they support Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on Experience working productively in large, evolving, or research-style codebases that you didn't originally write Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines Experience building or operating large-scale distributed systems Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing or dataset lifecycle management Experience designing plugin systems or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams, including successfully handing off systems for others to own Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams Prior experience as a technical lead, or setting engineering standards for a team Prior experience maintaining an open source project Representative projects These are examples of the challenges the team tackles; no one person will work on all of them: Design a base RL environment abstraction general enough to be subclassed across a wide range of environments Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks Design probes that catch sandbox regressions early Design the lifecycle and maintenance scheme for a production dataset Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs Build the access layer that lets researchers discover and reuse data artifacts across teams 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: $405,000 — $625,000 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: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr AI Architect - Conversation AI. About the job This position is critical to leveraging Twilio’s massive data ecosystem and unmatched communication scale to build our customer facing AI capabilities, such as Twilio Conversational Memory, Enterprise Knowledge, Behavioral Data Intelligence and many more to power the future of our customer engagement platform. As a Sr. AI Architect for Twilio Platform, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. You will drive cross-organizational initiatives, solve complex technical challenges, and elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission. As a Sr AI Architect, you will lead the company as the Distinguished Engineer and AI Contextual Engineering SME, serving as the guiding authority to our Architects, driving company-wide impact, and steering Twilio's overarching technical direction for conversational AI. In this pivotal leadership role, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. By driving cross-organizational initiatives and solving complex technical challenges, you will elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission. Responsibilities In this role, you’ll: Define and drive a long-term AI/ML architectural vision that aligns with Twilio’s business goals, specifically focusing on how data and memory power the next generation of customer engagement. Own the strategic roadmap for Twilio’s ML/AI Ops platform and tooling, ensuring a unified approach to model development, deployment, and lifecycle management across all platform capabilities. Evaluate and implement modern LLM architectures, RAG systems, MCP/tooling frameworks, and inference optimization techniques. Lead architecture for agentic AI systems including orchestration, reasoning, tool usage, and contextual grounding. Stay current with rapidly evolving advancements in LLMs, agent frameworks, reasoning systems, and AI infrastructure. Transition seamlessly from high-level strategic communication with executives to deep-dive code reviews and pair programming with engineers. Partner closely with Product Management to turn a roadmap into a sequence of technical milestones, ensuring that technical investments always map to customer value. Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 15+ years of experience in software engineering, with at least 6+ years specifically focused on building and scaling production-grade ML systems at a platform level. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics, automated retraining loops, and monitoring for non-deterministic AI features at scale. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of transformer models, LLM orchestration, embedding models, inference optimization and vector stores. Deep understanding of the Context Engineering lifecycle, including semantic retrieval, contextual compression, state management across multi-turn conversations. Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores. Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence company wide technical strategy, product direction, and drive results across the company. A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field. Desired A track record of relevant publications at top ML conferences or significant open-source contributions. Experience designing evaluation frameworks that specifically measure context quality Track record of designing and implementing enterprise-scale ML/AI Ops platforms Experience working in a geographically distributed environment. Location This role will be remote and based in the United States. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $275,840.00 - 344,800.00. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080.00 - 365,100.00. Based in the San Francisco Bay area, California: $324,480.00 - 405,600.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until October 30, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE OBSERVABILITY PLATFORM TEAM The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their first day and every day after. Every request, job, and user action produces a signal, and our job is to turn that signal into a fast, high-cardinality data asset that anyone can question. A business stakeholder investigating a drop in conversions, a service owner tracing a slow endpoint, an engineer validating a release, and an AI agent confirming its own change should all reach for the same data and get an answer in seconds. We treat the platform as a product, and the engineers, service owners, and business stakeholders who depend on it as our partners. Our mission is to build the wide-event data model, the query foundation, and the golden paths that connect people to production data. We instrument on open standards such as OpenTelemetry so switching costs are a configuration change rather than a rewrite, and we optimize for the questions people did not anticipate rather than for pre-built dashboards. As the founding Software Development Manager for this team, you will hire and lead the engineers who build this foundation, and set the technical vision that shapes how Wealthsimple understands its systems for years to come. IN THIS ROLE YOU'LL HAVE THE OPPORTUNITY TO: - Build the wide-event data model at the heart of the platform. Lead an events-first foundation on open standards such as OpenTelemetry, including the schema, SDKs, libraries, and instrumentation defaults that make rich, consistent, high-cardinality telemetry the path of least resistance for every team. - Build the query foundation that connects people to production data, and make it legible to AI agents. Design the columnar or streaming backends, the tagging and context-propagation standards, and the access patterns, including protocols such as MCP, that let a business stakeholder, a service owner, an engineer, or an AI agent ask an unanticipated question and get a fast answer. - Connect production data to business impact. Tie telemetry to client experience and business outcomes through SLOs and user flows, so teams see a problem in the numbers that matter before clients feel it. This is detection framed as a data question, not a wall of machine-state alerts. - Define what observability means at Wealthsimple, set a multi-year roadmap, and align engineering and leadership behind it. - Own the tool and vendor strategy across the observability stack, including how we get the most from Datadog while reducing lock-in and managing cost. - Prove value on pilots. Start with one or two teams to validate the approach before scaling it across the organization. - Hire and lead the team, and own career development, performance management, coaching, and a culture of technical excellence. - Stay hands-on, and move fast with AI coding tools such as Claude Code fluently to prototype, unblock the team, and raise its bar for building with AI. WHAT YOU'LL BRING: - 7+ years in software engineering, with a software development background. You build platforms as software, with the testing, design, and engineering rigor that implies. - Direct, hands-on experience treating telemetry as a data problem. You have designed wide structured events, managed high cardinality, and worked with columnar or streaming backends, sampling, tagging, and context propagation. This is the core of the role. - Direct experience building an observability, telemetry, or production-data platform before, so you are not learning the problem space on the job. You do not need to have built a commercial product such as Datadog or Honeycomb, but you have built the equivalent inside an engineering organization. - A track record of building SDKs and shared platforms in a platform, data, or foundations team. You have shipped the libraries, paved roads, and defaults that other engineers build on, and you treat those engineers as partners. - Fluency with OpenTelemetry or an equivalent, and with SLI and SLO design that ties signals to client experience and business outcomes. - 3+ years of engineering management experience, developing engineers and delivering complex initiatives through both growth and change. - The ability to set a vision, sequence the work, and move engineering and leadership toward it. - Strong people leadership and cross-boundary influence. You grow careers, give clear feedback, build inclusive teams, and build trust with peer managers, senior leadership, service owners, and business stakeholders. NICE TO HAVE: - Experience with columnar stores such as ClickHouse, streaming systems such as Kafka, or query engines built for high-cardinality analytics. - Experience building observability for LLM and agent-based workloads. - Familiarity with self-serve data access, semantic layers, or data cataloging that helps non-experts find and query the right signal. - Experience in a regulated or fintech environment. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As we scale our physical product business and global footprint, data-driven operations are critical to delivering a seamless, high-quality member experience. WHOOP is hiring a Business Analytics Manager to partner with our Operations teams to create visibility, drive accountability, and unlock insights that enable better service, lower cost, and faster decision-making. This role is ideal for someone fluent in data and obsessed with uncovering operational inefficiencies that impact financial performance and the member experience. You will be empowered to shape our data infrastructure, define performance metrics, and drive change across a global ecosystem of vendors and partners. RESPONSIBILITIES - Generate and drive the strategic analytic roadmap to identify exceptions and inefficiencies across the order lifecycle — shipping delays, cost drivers, inventory inaccuracies, and service-level gaps — and translate them into actionable insights. - Own operational metrics, ensuring clarity, alignment, and regular review across stakeholders; bridge operations and finance on forecasting, spend tracking, and variance analysis to ensure operational data and financial reporting tell the same story. - Lead analytics for quarterly cost reduction initiatives, including fulfillment COGS, freight costs, and cost per contact. Partner with Finance on total cost reporting and gross margin analysis. - Contribute to S&OP reviews and Operations OKR check-ins. Deliver the data that shapes prioritization and resource allocation across the operations organization. - Partner with Operations, Membership Services, and Finance to improve accuracy, vendor accountability, and overall member experience. - Collaborate with Data Engineering to improve pipeline reliability and data access across key operational systems. - Build, maintain, and ensure accurate, reliable data assets and trusted metric definitions within our semantic layer — from data pipelines to dashboards and regular performance reviews. - Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. Ensure each analyst has clear workstream ownership and the context they need to proactively identify problems. QUALIFICATIONS - 6+ years of experience in analytics, operations, supply chain, fulfillment, or logistics in a consumer business (eCommerce, hardware, CPG, or retail preferred). - Experience managing or mentoring analysts. You should enjoy coaching and have a perspective on how to grow early-career analysts into workstream owners. - Strong business judgment and ability to connect operational data to cost, experience, and strategic priorities. - Proven ability to operate at both strategic and tactical levels and context-switch between them without dropping quality. - Comfort representing analytics in cross-functional settings and demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake, or similar ELT/data warehouse platforms. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.  These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours. This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible. - Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential. - Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution. WE'RE LOOKING FOR - 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products. - Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability. - Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as an SRE, observability engineer, or infrastructure engineer. - Hands-on experience building AI agents, or instrumenting and evaluating them in production. - Contributions to OpenTelemetry or adjacent open-source telemetry projects. If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.