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Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a staff-level engineer who wants to own systems, not tickets. You've built high-traffic, low-latency Python services and carried the pager for them. You think in trade-offs: latency versus cost, flexibility versus a public API that customers can't afford to see break, the fix that ships this week versus the architecture that has to last two years. You can lead work that spans several engineers and several quarters, you enjoy mentoring others, and you're fine when a problem shows up half-defined. You don't mind being the one who reads the spec for some unfamiliar protocol, works out how it fits, and designs an integration that holds up at scale. You change your mind when someone has a better argument, you make the people around you better, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the technical direction of one or more of our services - architecture, performance, and reliability. - Lead design of new systems and public APIs, and the evolution of existing ones as traffic and feature scope grow. - Raise the engineering bar through design and code review, and mentor mid and senior engineers into owning bigger scopes. - Partner with product, other engineering teams, and solutions/support to shape what we build and to represent search constraints and trade-offs honestly. - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Substantial experience building and operating high-traffic, low-latency backend services in production. - Extensive Python knowledge (our primary language). - Experience with observability and performance work in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of leading projects that span multiple engineers and quarters. - Influence without authority, and willingness to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $110k–$130k USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. 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: 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. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID 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. Ontario Pay Range $163,920 — $196,712 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Procurement & Sourcing Manager at OnePay, you will negotiate directly with vendors and manage the commercial outcome on technology spend, including cloud, AI/LLM, data, security, and SaaS vendors. This role is a catalyst for OnePay’s rapid growth and mission to help people save and grow their money. In this role, you will collaborate with various stakeholders in a highly cross-functional role, and drive to execute key new vendor and renewal engagements. AI is central to how we work: you will use it daily to benchmark pricing, compare proposals, review contract terms, and prepare for negotiations. You will: - Lead negotiations end to end on new vendors and renewals, from benchmarking and walk-away positions through final terms - Structure deals beyond price: renewal uplift caps, usage and true-up mechanics, ramp schedules, termination rights, and auto-renewal protections - Run competitive sourcing and building the business case for vendor selection and consolidation - Build and share repeatable AI-assisted sourcing workflows, such as proposal comparison, price benchmarking, contract redlining, and negotiation prep, so the whole team works faster and with better data - Partner with Operations, Finance, Legal, IT, and InfoSec teams to evaluate new vendors and structure the commercial terms - Serve as the primary point of contact for vendors on all contractual matters and act as the escalation point for all employees when communicating with vendor sales reps - Drive the timely review and approval of procurement requests, making sure there is alignment across all key stakeholders, including company C-suite YOU BRING - 3+ years of strategic sourcing or direct vendor negotiation experience, ideally in a high-growth tech or fintech company - A self starter; You don’t just identify problems, you come with solutions. You don’t wait for instructions, and you feel comfortable leading an initiative end-to-end. - Ability to work cross-functionally and with senior management, enabling to creatively meet requirements from our partners without blocking innovation and creativity - Strong negotiation skills. You have a track record of negotiating six- and seven-figure software, SaaS, or cloud agreements and of securing terms beyond price. - Understanding of commercial contract terms (MSAs, order forms, DPAs, SOWs, licensing models) and comfort marking them up with Legal - Hands-on AI fluency: you already use AI tools (such as LLM assistants and agents) - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our engineering team for a 16-week paid internship (JAN - APRIL) where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe. You will: - Ship real features to millions of developers using Replit's platform - Collaborate cross-functionally with engineers, designers, product managers, and AI researchers - Build and optimize developer experiences that make coding accessible to everyone - Work on cutting-edge AI tools and infrastructure that power the next generation of software creation - Learn from the best in an environment where your ideas are heard and often implemented Required skills and experience: - Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field - Have at least one semester of schooling remaining after the internship completion - Proficient in at least one programming language and comfortable with full stack development - Passionate about developer tools, AI, or making technology more accessible - Thrive in fast-paced environments where you can move quickly and adapt to changing priorities What we value: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Bengaluru, Karnataka, India, APAC 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 We're looking for a Senior Financial Systems Analyst who will drive the transition from manual, repetitive legacy work to more accurate, streamlined, and automated models, dashboards, and data feeds. Your work will change from week-to-week and month-to-month as you partner with FP&A to redesign how the team plans and forecasts, build new dashboards, and train AI agents to do the tedious stuff automatically. We need someone who combines financial acumen with technical know-how — translating model assumptions and drivers into the right long-term solution, whether that's a Pigment model, a Python script, or an AI agent. You'll also own the trustworthiness of the numbers Finance leaders rely on, building systematic data-quality checks and partnering with the Data/Analytics Engineering team to resolve upstream data issues. And because a fix that only you can maintain isn't really a fix, you'll document your models clearly enough that analysts without a Pigment or Python background can self-serve basic changes — empowering the team with tools that completely solve problems without manual workarounds. This is a full-time position based out of our Bangalore 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 Pigment, BigQuery, NetSuite, Omni, Sigma, Claude Code What You’ll Do Partner directly with FP&A business partners across Sales & Marketing, R&D, and G&A to understand how each team plans, forecasts, and reports today, then work together to identify manual, repetitive Finance work that Pigment integrations, Python scripts, and AI agents can streamline and automate. Own the end-to-end build of new and migrated Pigment models — data blocks, formulas, workflows, dashboards, and views — turning fuzzy business asks from FP&A into technical solutions people actually want to use. Collaborate on the design and maintenance of our Pigment architecture, ensuring we avoid a tangled mess of metrics, dimensions, and boards and keep our tools easy-to-navigate. Team up with your peers on the Finance Systems team to build durable integrations between Pigment, BigQuery, and other finance systems, so the data everyone needs shows up accurately and automatically instead of through manual workarounds. Put systematic data-quality checks in place — reconciliations, change monitoring, variance alerts — so business partners can trust the numbers without manual effort. Document what you build clearly enough that a Finance analyst with no Pigment or Python background can self-serve basic changes. Loop in the Data/Analytics Engineering team when a request needs a new data connection or you find an upstream data problem. Skills We’re Looking For 5+ years of experience in financial systems, FP&A, or analytics engineering, with hands-on work in an EPM platform (Pigment, Anaplan, Adaptive, or similar) — or an equivalent analytics-engineering background (SQL, dbt, Python) with a strong interest in moving into EPM/finance systems work. Proven experience using AI agents/LLM tooling to automate finance workflows. Ability to sit with a Finance stakeholder, listen to a messy description of “how we currently do this,” and come back with a well-scoped technical plan. Working proficiency in Python — or willingness and ability to learn via Claude Code or Codex. Strong SQL skills and comfort working in a cloud data warehouse (BigQuery or similar). High attention to detail — this role will work on models that inform real business decisions, so the ability to audit models and build intuition on outputs matter as much as speed. Strong communication skills — able to explain a data discrepancy or a modeling trade-off to someone without a systems or data background. Bonus Skills​ Prior experience inside an FP&A or corporate finance function (not just building tools for one from the outside), ideally supporting a Sales, R&D, or G&A finance function specifically. Prior experience building a Sales Capacity/Planning model or a Supply Chain model in Pigment, Anaplan, or another similar planning platform. Familiarity with BI tools such as Tableau, Looker, Sigma, or Omni. Experience with dbt or another data-transformation framework. # LI-HYBRID #LI-DB1 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. T ogether, 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 Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements 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 $206,699 — $258,374 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.

• Разработка AI-продуктов и agentic workflows. • Интеграция LLM и создание RAG-систем.

Location: New York ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Privacy Program Manager to join our Legal Team and help build and scale ElevenLabs’ global privacy program. In this role, you will translate privacy requirements into effective, repeatable processes across the company and drive the day-to-day operation of key privacy initiatives. You will work closely with Legal, Product, Engineering, Security, Safety, and GTM teams to operationalize privacy-by-design, manage privacy assessments and compliance workflows, and strengthen the systems and processes that support ElevenLabs’ growing global business. This role is ideal for someone who combines deep privacy program experience with strong project management skills and enjoys building scalable programs in a fast-moving AI environment. RESPONSIBILITIES - Manage and continuously improve ElevenLabs’ global privacy program, translating legal and regulatory requirements into scalable operational processes and controls. - Own and coordinate privacy compliance workflows across frameworks including GDPR, CCPA/CPRA, US state privacy laws, HIPAA, and applicable biometric privacy requirements. - Manage privacy impact assessment processes, including Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and assessments involving AI systems, biometric data, voice technologies, health information, and other sensitive data. - Partner with Product, Engineering, Legal, and Security teams to operationalize privacy-by-design throughout the product development lifecycle. - Maintain data inventories, records of processing activities (RoPAs), data flow documentation, and other privacy governance records. - Manage processes for data subject and consumer rights requests, including access, deletion, correction, and opt-out requests, and help ensure requests are handled consistently and within applicable deadlines. - Partner with Security and Legal on third-party and vendor privacy assessments, data processing requirements, and privacy-related risk remediation. - Support privacy incident response and regulatory or customer inquiries by coordinating documentation, stakeholders, timelines, and follow-up actions. - Implement and administer privacy tooling and automation to improve the efficiency and scalability of privacy operations including maintaining ElevenLabs’ consent management platform and partnering with Legal, Marketing, Product, and Engineering to ensure cookie, tracking technology, and other consent and preference mechanisms are appropriately configured, documented, monitored, and updated as our products and regulatory requirements evolve. - Develop privacy program metrics, dashboards, and reporting to track compliance, identify risks, and communicate program maturity and priorities to stakeholders. - Develop and maintain privacy policies, procedures, playbooks, templates, and internal guidance. - Coordinate privacy training and awareness initiatives across the company. WHO YOU ARE - Excited by AI and emerging technologies and interested in solving novel privacy challenges involving voice, biometrics, health information, and other sensitive data. - An exceptional program manager who can turn complex requirements into clear workstreams, owners, milestones, and measurable outcomes. - Comfortable operating across Legal, Product, Engineering, Security, and commercial teams and able to communicate effectively with both technical and non-technical stakeholders. - Highly organized and detail-oriented, while able to prioritize effectively and maintain momentum across multiple workstreams. - Pragmatic and solutions-oriented, with a strong instinct for building processes that manage risk without creating unnecessary friction. - Comfortable building programs and processes from the ground up in a fast-paced, high-growth environment. WHAT YOU BRING - 6+ years of experience in privacy program management, privacy operations, data governance, compliance, or a related field, ideally within a technology, SaaS, or AI company. - Demonstrated experience operationalizing privacy requirements under frameworks such as GDPR, CCPA/CPRA, and other US state privacy laws as well as sector specific frameworks such as HIPAA and biometric privacy requirements. - Technical mindset, you can read a data flow diagram, understand system architectures and keys to data handling and can translate between legal requirements and engineering implementation. - Experience building or significantly improving privacy review processes, privacy impact assessments, or privacy control frameworks. - Hands-on experience managing consent management platforms and cookie/tracking technology compliance, including consent configuration, preference management, and coordination with technical and marketing teams. - Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar. - Privacy certifications such as CIPP/US, CIPP/E, CIPM, or CIPT are a plus. - Excellent project management, communication, stakeholder management, and problem-solving skills. LOCATION This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced U.S. based Privacy Counsel to join our Legal Team. In this role, you will help shape and scale ElevenLabs’ global privacy program as the company continues to expand internationally. You will advise on privacy, data protection, and AI governance issues across our products and operations, while supporting commercial transactions involving data processing and technology services. You will work closely with Product, Engineering, Security, and GTM teams to provide practical, business-oriented guidance that enables innovation while ensuring compliance with evolving privacy and AI regulatory frameworks across multiple jurisdictions. RESPONSIBILITIES - Advise on global privacy and data protection laws, including CCPA/CPRA, HIPAA, and other U.S. and international regulatory frameworks. - Advise on privacy and regulatory risks relating to AI systems, biometric data, voice technologies, and other sensitive data types. - Partner with Product and Engineering teams to implement privacy-by-design principles and support responsible development of AI products. - Conduct and oversee privacy risk assessments, including Data Protection Impact Assessments (DPIAs)and related documentation. - Support commercial transactions by advising on data protection terms, including Data Processing Addendums (DPAs), Business Associate Agreements (BAAs), cross-border data transfers, and privacy provisions in customer agreements. - Monitor and interpret evolving legal and regulatory developments relating to privacy, AI governance, and data use, and translate them into practical guidance for the business. - Help develop and maintain ElevenLabs’ privacy policies, procedures, and governance frameworks. - Support responses to privacy-related regulatory inquiries, audits, and incidents, working closely with Security and Safety teams. WHO YOU ARE - Curious about the future of AI and emerging technologies, with a strong sense of ownership and enthusiasm for applying privacy law to cutting-edge products. - Comfortable navigating fast-paced, high-growth environments with evolving regulatory landscapes. - Able to translate complex legal requirements into clear, practical guidance for product and business teams. - Collaborative, pragmatic, and solutions-oriented, with a strong commitment to enabling innovation responsibly. WHAT YOU BRING - JD with active membership in at least one U.S. state bar (New York preferred). - 6+ years of relevant legal experience, with a focus on privacy compliance and data governance. - Experience advising AI, technology or SaaS companies on global privacy compliance and data governance. - Experience advising on US biometric privacy laws and regulatory requirements, including laws governing biometric identifiers and information. - Experience advising on HIPAA, healthcare privacy, PHI, and BAAs, particularly in connection with technology or SaaS products. - Experience advising on AI, data use, or emerging technology regulatory frameworks is a strong plus. - Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar. - Excellent communication, stakeholder management, and problem-solving skills. LOCATION This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

• 5+ лет продакшен-опыта в бэкенде на любом современном языке (Java, Go, Rust, Python, Ruby) и готовность перейти на .NET. • 2+ года разработки микросервисов.

Location: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Nous prenons le jeu au sérieux. Nous recherchons des aventurières et aventuriers à l’esprit curieux, prêts à trouver leurs compagnons de route et animés par l’imagination et la détermination nécessaires pour créer ce qui n’a encore jamais été imaginé. Chez Wizards of the Coast, nous rassemblons des gens partout dans le monde grâce au jeu et à l’imagination. De nos jeux qui ont défini leur genre, comme Magic: The Gathering® et Dungeons & Dragons®, à notre multivers en pleine expansion, nous continuons d’innover et de créer de nouvelles façons de favoriser l’amitié et les liens. C’est là que tu entres en jeu! Nous cherchons un·e ingénieur·e principal·e en réseau pour diriger sur le plan technique la transformation de notre réseau d’entreprise. C’est le rôle de contributeur·trice individuel·le le plus élevé de l’équipe d’ingénierie réseau. Tu concevras le cadre d’accès réseau Zero Trust (ZTNA), géreras notre environnement Palo Alto Panorama et prendras des décisions clés là où la complexité rencontre la sécurité. Tu travailleras en étroite collaboration avec le ou la gestionnaire principal·e, Réseau et infrastructure infonuagique, et avec les équipes IAM, Infrastructure infonuagique et Sécurité. Ensemble, vous bâtirez un réseau qui vérifie l’identité, contrôle la posture des appareils et applique le principe du moindre privilège, de la périphérie jusqu’au nuage! Tu mèneras ce projet à terme, de façon définitive. Ce que tu feras : Agir comme expert·e technique du programme ZTNA Réseau 2.0 : prendre en charge l’architecture, diriger les revues de construction, établir les normes d’ingénierie et régler les problèmes critiques pendant la mise en œuvre. Construire et valider l’architecture ZTNA complète dans tous les sites principaux et internationaux, en définissant les zones réseau, la politique de segmentation et les exigences de posture des appareils qui éliminent le risque de mouvement latéral. Gérer Palo Alto Panorama à l’échelle de la plateforme : hiérarchie des modèles, création des groupes d’appareils, supervision de la distribution des politiques et prévention de la dérive de configuration sur tous les NGFW sur site et connectés au nuage. Développer l’intégration infonuagique entre AWS et Palo Alto Panorama, en précisant comment la politique de pare-feu native du nuage, la topologie VPC et la structure ZTNA sur site s’unissent au sein d’un plan d’application unifié. Diriger l’architecture de Palo Alto Cloud Identity Engine (CIE) (année 2, conjointement avec l’équipe IAM) : construire le modèle d’application identité-réseau, élaborer la taxonomie des zones réseau et piloter la migration des règles basées sur l’IP vers des règles basées sur l’identité, qui éliminera progressivement toutes les règles de pare-feu utilisateur fondées sur l’IP. Diriger les décisions d’architecture GlobalProtect : configuration de l’agent, politique de tunnel partagé (split tunneling), chaîne de confiance des certificats et normes de conformité des versions appliquées au moyen d’Intune. Rédiger et tenir à jour les documents d’architecture réseau, les registres de décisions et la bibliothèque de procédures opérationnelles (runbooks) sur lesquels l’ensemble de l’équipe s’appuie pour accomplir son travail. Tu établis la norme; l’équipe la suit. Diriger la cartographie de la topologie des sites à l’échelle mondiale en documentant tous les sites internationaux. Définir le modèle de soutien par niveaux et produire le plan de séquencement du renouvellement du matériel en lien avec les vagues de déploiement ZTNA. Collaborer avec l’ingénieur·e en automatisation et fiabilité réseau pour bâtir des cadres de politiques autoréparatrices, des modèles d’automatisation par l’API Panorama et des normes de pipeline CI/CD pour les changements de configuration réseau. Représenter l’ingénierie réseau lors des revues d’architecture interfonctionnelles avec les équipes IAM, Infrastructure infonuagique, Sécurité et Technologie centrale : tu apportes la perspective réseau dans les discussions où se décide l’architecture d’entreprise. Ce que tu apporteras : Plus de 10 ans d’expérience en ingénierie de réseaux d’entreprise, avec une expertise démontrée dans la conception d’architectures à grande échelle, et pas seulement dans l’exploitation. Connaissance avancée des NGFW Palo Alto et de Panorama : hiérarchie des modèles, groupes d’appareils, élaboration de politiques de sécurité, NAT, politique de déchiffrement et environnements multi-vsys. Expérience éprouvée en architecture ZTNA : tu as bâti un déploiement ZTNA, pas seulement configuré; tu comprends le modèle de segmentation, la logique des politiques et les modes de défaillance. Connaissance approfondie de GlobalProtect : architecture de l’agent, configuration des passerelles, confiance des certificats, politique de tunnel partagé et résolution de problèmes sur divers types de terminaux à grande échelle. Expérience pratique en architecture réseau AWS : construction de VPC, Transit Gateway, Direct Connect, AWS Network Firewall et modèles de connectivité natifs du nuage qui s’intègrent à l’application des politiques sur site. Compréhension des modèles d’application identité-réseau : comment les signaux d’identité (groupes Okta, conformité des appareils Entra, CIE) se traduisent en politiques de pare-feu et comment cette architecture évolue à grande échelle. Maîtrise des concepts SD-WAN et de Prisma SD-WAN ou d’une solution équivalente : sélection intelligente des chemins, routage selon les applications et optimisation WAN dans une entreprise multisite. Expérience dans la rédaction de documentation d’architecture réseau, de registres de décisions de conception et de normes d’ingénierie sur lesquels d’autres ingénieur·e·s peuvent bâtir en toute confiance. Capacité à travailler de façon autonome en tant que contributeur·trice fiable auprès d’un·e gestionnaire principal·e. Tu développes l’expertise technique pour que la personne gestionnaire puisse se concentrer sur le programme. Tu fonctionnes sans avoir besoin d’une supervision étroite et tu ne la provoques pas. Excellente communication auprès de publics techniques et non techniques. Tu peux expliquer un modèle de segmentation par zones à un·e RSSI (CISO) et une hiérarchie de modèles Panorama à un·e ingénieur·e junior au cours du même après-midi. Atouts : Expérience pratique avec Palo Alto Cloud Identity Engine (CIE) : intégration de l’appartenance aux groupes Okta ou Entra dans l’application des politiques NGFW. Expertise approfondie en automatisation réseau : Python, Ansible ou scripts API Panorama pour l’automatisation des politiques, la vérification de la conformité ou les configurations autoréparatrices. Expérience en configuration réseau GCP : VPC Service Controls, Cloud Armor ou modèles de connectivité hybride reliant GCP et la structure ZTNA sur site. Expérience au sein d’une entreprise multistudio et multisite du divertissement ou du jeu, dotée d’une infrastructure internationale géographiquement répartie. Certifications actives : PCNSE (Palo Alto Certified Network Security Engineer), spécialiste ZTNA ou AWS Advanced Networking Specialty. Nous sommes un employeur qui souscrit à l’égalité des chances et à l’action positive. Hasbro s’engage à assurer l’égalité des chances dans tous les aspects de l’emploi. Nous nous engageons à prendre toutes nos décisions en matière d’emploi sans égard à la race, à la couleur, à la religion, au sexe, à l’orientation sexuelle, à l’identité ou à l’expression de genre, à l’origine nationale, à l’âge, à l’état civil ou à tout autre statut protégé par la loi. Nous veillerons à ce que les personnes en situation de handicap bénéficient de mesures d’adaptation raisonnables pour participer au processus de candidature ou d’entrevue, exercer les fonctions essentielles du poste et profiter des autres avantages et privilèges liés à l’emploi. Si tu es une personne en situation de handicap et que tu as besoin d’aide ou d’une mesure d’adaptation pendant le processus de candidature, communique avec ton ou ta recruteur·e ou ton ou ta coordonnateur·trice. Les employé·es peuvent être admissibles à des programmes d’incitatifs annuels et à long terme dans le cadre de leur rémunération globale, selon leur rôle, leur lieu de travail et les critères d’admissibilité. Les avantages sociaux et les programmes peuvent notamment comprendre : Santé et bien-être Congés pour se ressourcer Bien-être financier Soutien à la vie personnelle et familiale Initiatives de bénévolat et d’engagement communautaire Apprentissage et développement Avantages exclusifs Nous t’invitons à consulter notre Avis de confidentialité destiné aux candidat·es pour en savoir plus sur la façon dont nous recueillons, utilisons et protégeons tes renseignements personnels dans le cadre du processus de candidature. #StudiosWizards Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote - India 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 our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. 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: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. Prior experience working in a globally distributed team. Location This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. 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. 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 - India 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 our next Principal Machine Learning Engineer in Twilio’s Customer Memory Team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. 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: 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. Prior experience working in a globally distributed team. Location This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. 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. 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: Bengaluru, Karnataka, India, APAC 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 The mission of the Engineering Program Management Office (PMO) is to implement program and project management methodologies that enable Fivetran to deliver complex products and initiatives on time and within expectations.  In addition, the Engineering PMO serves as the subject-matter expert body on project and program management standards, directing a department-wide approach to program delivery and communication. You will help plan, track, and execute the company's most critical and cross-cutting Product and Engineering objectives. You will be responsible for leading cross-functional teams, managing complex programs and projects, and ensuring the timely delivery of high-quality solutions that meet our customers' needs. You will communicate and work in close collaboration with partners across the engineering team and other business partners to achieve this vision. This is a full-time position based out of our Bangalore Office, India. Technologies you will use: G Suite, AI LLM and Agents (Claude Code, Gemini, ChatGPT, and similar), Jira, Looker, Graphana, Lucid Charts, Workday, Sigma, Figma, BigQuery, Custom Apps. What You’ll Do: Program/Project Management Manage key engineering projects, and/or programs, or initiatives from initiation to closing. Provide regular status updates on a variety of internal channels to all levels of the organization. Define program charters, plans, and schedules. Drive Program execution. Drive Product representatives in providing timely direction and requirements. Lead internal cross-functional teams in engineering and validation activities. Ensure tight inter-team coordination and communication. Digest, understand, and communicate complex, technical/engineering issues. Identify and resolve conflicts or issues quickly, efficiently, and effectively. Surface and mitigate risks or defects, and lead technical task forces to ensure proper risk responses or issue resolution. Manage interdependencies across multiple engineering disciplines and stakeholders, including platform, SRE, & QA. Develop creative solutions, remove obstacles, and redefine approaches to balance cost, quality, and delivery priorities. Work closely with product management, data analytics, enablement & support. Define and own specific program metrics and objectives. Track and report on PMO KPIs. Process Improvement Act as a role model for project/program management processes. Surface feedback and enhancement to project/program management processes. Align stakeholders and team members towards project/program management best practices. Skills We’re Looking For: 1+ years of experience in a technical position (software engineer, QE/QA, platform engineer, etc.). Software project management experience is a strong plus. 4+ years of experience in technical project/program management. Agile and waterfall project/program management experience. Familiarity with project management tools like Jira. Can lead large and complex initiatives with minimal oversight. Can introduce structure and order in volatile conditions. Can clarify vague goals and requirements. AI LLMs and AI Agents usage proficiency. AI skills development. In-depth knowledge of the technologies and methodologies used in program management. Ability to work directly with senior leadership on programs, including leading R&D-wide (engineering, product, design, security) initiatives from start to finish. You can facilitate discussions with engineering subject-matter experts on topics such as System Design, Data Architecture, Infrastructure Management (including cost management), and Quality. Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels. A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills. Proficient in addressing technical issues and providing effective mitigation plans. Can align team members to program goals and objectives. Demonstrates integrity, upholding professional codes of conduct. (Optional) Bonus Skills Start-up experience a strong plus PMP certification is a plus Familiarity with the following technologies is a plus: Cloud service providers (AWS, GCP, Azure), ETL or ELT, modern data stack. #LI-AV1 #LI-HYBRID 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: Israel - Office - Tel Aviv Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: As Senior Product Manager for Platform Core, you will define and lead the shared foundation of Tenable Cloud Exposure and AI Exposure. You will combine deep technical expertise, strong customer relationships, and a forward-looking product vision to shape the platform’s evolution. This is a high-impact individual contributor role with broad ownership across data, access, integrations, and shared customer experiences. You will lead across product and engineering teams, identify opportunities for innovation, and turn complex customer needs into scalable capabilities that strengthen the entire platform. Your Opportunity: Define and drive the long-term vision, strategy, and roadmap for Tenable Cloud Security and AI Exposure Platform aspects , anticipating customer needs and opening new possibilities for the platform. Build close relationships with customers and prospects to understand their workflows, uncover unmet needs, and validate product direction. Lead technically complex capabilities across the unified data model, APIs, integrations, and access management, partnering with engineering on architectural decisions and tradeoffs. Drive innovation in how customers interact with, administer, and extend the platform, including experiences enabled by AI and agents. Lead strategic initiatives across product domains, engineering, and design, aligning stakeholders around shared priorities and resolving complex product tradeoffs. Shape a cohesive platform experience across onboarding, settings, navigation, resource organization, and licensing. Develop the platform’s integration ecosystem through API standards, developer experiences, and technology partnerships. Own outcomes from discovery through delivery and adoption, defining success metrics and using customer insights and usage data to guide investment. What You'll Need: 5+ years of product management experience, including significant ownership of technically complex platform or enterprise software products. Deep technical understanding of data models, APIs, access control, and integrations, with the ability to engage in architectural discussions and make informed product decisions. A proven track record of building direct customer relationships and translating customer needs into syngertic platform capabilities with measurable value. Demonstrated ability to define a compelling long-term vision, identify opportunities for innovation, and translate them into an actionable roadmap. Proven success leading complex initiatives across multiple teams and influencing senior stakeholders without formal authority. Strong product judgment, including the ability to balance immediate customer needs with scalable platform investments. ability to hold and combine both platform level considerations as well as domain specific constraints. Excellent English communication and presentation skills, with the ability to explain complex concepts clearly to technical and business audiences. Bachelor’s degree in a technical field or equivalent practical experience. Experience with cloud security, enterprise SaaS platforms, or multi-product or platforms is a plus. #LI-SK1 #LI-Hybrid We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. WHAT YOU WILL DO - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. NICE TO HAVE - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

About the Role This is a hands-on engineering position combining software development, solution design, prototyping, and direct customer interaction. You will work closely with enterprise customers to understand their operational processes, existing systems, technical constraints, and business pain points — and then help translate those needs into practical technical solutions. The role is ideal for someone who is technically strong but also comfortable working directly with business and technical stakeholders. What You Will Do — Work directly with enterprise customers to understand workflows, systems, and pain points — Gather and clarify requirements with business and technical stakeholders — Translate ambiguous business needs into technical solutions — Build prototypes, integrations, and production-ready functionality — Design and implement APIs and system integrations — Work with databases and data integration flows — Support cloud-based solution design and implementation — Explain technical decisions, trade-offs, and architecture clearly to customers — Collaborate with internal engineering and delivery teams — Take ownership of solutions from initial discovery through implementation — Participate in customer meetings and occasional business trips to Paris MUST HAVE — Strong software engineering / programming background — Hands-on experience building production systems — Experience with APIs and system integrations — Strong understanding of databases and data integration — Experience with cloud platforms and services — Ability to prototype and implement solutions quickly — Strong problem-solving skills and ability to work with incomplete or evolving requirements — Excellent customer-facing communication skills — Confidence working with both technical and non-technical stakeholders — Ability to ask the right questions and explain technical concepts clearly — Availability for occasional business travel to Paris Nice to Have — AI / Machine Learning experience — LLM-based applications — AI Agents / Agentic workflows — RAG or GenAI integrations — Experience in consulting, solutions engineering, technical presales, or customer-facing engineering — Enterprise integration or digital transformation projects What We’re Looking For We are looking for someone who is not only a strong engineer, but also comfortable being close to the customer. You should enjoy understanding how a business actually works, identifying what needs to be improved, and turning that understanding into a practical technical solution. Conditions — Location: EU — Business travel: occasional trips to Paris, fully covered by the company What We Offer — Small-company feel within a fast-growing international environment — Friendly, collaborative, and mission-driven team — Fully paid business trips to Paris — 25 calendar days of vacation + 5 additional paid sick days — Medical insurance — Corporate English courses — Corporate events and team-building activities — Support with professional certifications — Reimbursement for professional courses and training — Long-term international projects — Opportunities for professional and technical growth

What You'll Work On. - Building and maintaining a Databricks Lakehouse on a medallion architecture.