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Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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: Washington D.C., United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT MAKES US DIFFERENT We operate with a founder-like mindset: we move fast, take ownership, and hold ourselves to a high bar. We are genuinely customer-obsessed, and we bring that same curiosity and care to how we work with each other. If you want to work somewhere that challenges you, trusts you, and gives you the opportunity to do work that actually moves the needle, Box is that place. WHY BOX NEEDS YOU Every enterprise is sitting on a goldmine they can't access. Millions of documents, contracts, presentations, images, and emails, the institutional knowledge that defines how a company operates, are locked in legacy systems, invisible to the AI models and agents that could transform how work gets done. Box is the platform that changes that.Box has seen a major evolution since pioneering cloud storage solutions. Today, we are building the secure, intelligent content layer that connects enterprise knowledge to AI powering any model, any agent, and any workflow, while maintaining the governance, compliance, and control that the world's largest organizations demand. AI is only as powerful as the information it can securely access, and that is exactly what Box provides.The enterprises that win the AI era will be the ones that can securely connect their models to the right knowledge, at the right time, with the right controls. Box is that foundation, and we've been building toward this moment for over 20 years. We are seeking high-caliber sales professionals to drive new customer acquisition and expand relationships across our largest enterprise accounts As an Enterprise Account Executive, you’ll be bringing in new logos as well as growing and expanding existing customers within our largest accounts. You won't be selling a point solution, you'll be helping all lines of business rethink the role of their most valuable asset, their content. This is a field role located in the Washington, DC Metro, or Mid-Atlantic area WHAT YOU'LL DO Source and close net new logos within the Federal Government vertical, specifically within the Navy Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Build and execute strategic account plans for DoW enterprise customers Drive net-new sales and expand existing business across DoW programs and agencies Partner with system integrators and channel partners to pursue large-scale programs Navigate procurement processes (OTAs, IDIQs, BPA, and sole-source vehicles) Serve as a trusted advisor to DoW leaders, program managers, and acquisition officials and manage through multi-layer stakeholders in Government Agencies Collaborate with solutions engineers, capture teams, and proposal staff to win pursuits Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Travel up to 50% of the time within your territory WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of work experience in Federal Sales with a track record of success 4+ years of experience building relationships and selling into the US Navy Proven ability to learn new technology and products Deep understanding of DoW procurement processes, budgeting, and acquisition cycles Strong presentation, communication, and negotiation skills Ability to work independently and in a fast-paced, mission-focused environment Effectively uses a repeatable method for uncovering greenfield opportunities and building out a new territory Prior success in ECM, Cloud, or SaaS Federal DoW sales At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual OTE range is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . United States Pay Range $277,000 — $346,000 USD

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: United States; South Carolina; New England; Atlanta; North Carolina; New York; Boston; Florida Workplace: Remote ABOUT THE ROLE Cyberhaven is looking for a Technical Account Manager to be the technical quarterback for our customers. You will own the full technical picture of each account: how Cyberhaven is architected and deployed, how it integrates with the customer's environment, how it is performing, and whether it is delivering the outcomes the customer bought it for. You will be the trusted technical advisor to Security, IT, and customer operations teams, and the connective tissue between those teams and Cyberhaven's Product, Engineering, and Customer Success organizations. You will develop deep expertise in Cyberhaven's reimagined Agentic Data Security platform, including its inner workings, data lineage model, endpoint agents, and integrations. You will learn how our customers use it to mitigate data loss threats across their organizations. You are passionate about technology, naturally curious, and driven to exceed customer expectations. You take proactive ownership, anticipating issues before they surface, guiding customers toward best practices, and driving adoption and long-term value. When a problem needs engineering support, you own the escalation, bring a clear reproduction and technical context, and coordinate internally to full resolution. Technical depth, a strong client focus, and experience with SaaS-based security products and endpoint agents (Windows, macOS, and Linux) are required. You will report to the Manager of Technical Account Managers. WHAT YOU’LL DO - Own the technical relationship - Act as the technical owner of assigned accounts, with end-to-end knowledge of each customer's architecture, deployment, configuration, policies, and integrations. - Partner with customers and our Customer Experience teams through onboarding and rollout, including agent deployment strategy, policy design, and phased adoption plans. - Build and maintain strong relationships with stakeholders across your book of business. Manage expectations and ensure stakeholder satisfaction. - Run regular check-ins and business reviews that cover technical health, adoption, risk, and goals. Raise emerging concerns before they escalate. BE PROACTIVE - Monitor account health, agent coverage, and usage patterns. Identify gaps, misconfigurations, and underused capabilities, and recommend optimizations. - Create and drive technical success plans that align customer objectives with Cyberhaven capabilities and deliverables. - Guide customers through upgrades, new feature rollouts, and environment changes (OS releases, MDM/GPO changes, network or infrastructure changes) to avoid disruption. - Advise customers on integrations with adjacent technologies such as SIEM, SOAR, and UEBA to extend the value of their deployment. - Stay current on industry trends and security best practices, and bring them to customers. RESOLVE AND ESCALATE - Analyze, troubleshoot, escalate and resolve complex technical issues across endpoint agents, cloud and SaaS integrations, and platform configuration. - Reproduce customer issues and document clear steps to replicate for Engineering and Development. - Serve as the internal and external point of contact on critical escalations. Drive prioritization with support engineering and keep customers informed through resolution. - Perform root cause analysis and drive preventive follow-ups so issues do not repeat. BE THE VOICE OF THE CUSTOMER - Coordinate customer feedback and feature requests to Product Management, Development, and Operations, with the technical and business context behind them. - Work cross-functionally as the expert on the Customer. - Collaborate with Customer Success and Sales on renewals, expansions, and risk mitigation, providing technical input and account insight. - Develop and maintain knowledge base articles, playbooks, and best-practice resources. WHO YOU ARE - 3+ years of hands-on EDR/DLP endpoint experience. - Expertise with DLP, Insider Threat, and CASB solutions. - 3+ years in a Technical Account Management, Solutions/Sales Engineering, Professional Services, Technical Support, or similar customer-facing technical role. - Demonstrated ability to own customer technical outcomes from implementation through steady-state operation, and to understand a customer's architecture and environment end-to-end. - Hands-on experience deploying, supporting, and troubleshooting SaaS-based security and/or endpoint agent technologies. - Proven experience resolving escalated technical customer issues and working directly with engineering teams. - Strong organizational and planning skills, with the ability to manage multiple accounts and priorities, set timelines, track progress, and maintain clear documentation (success plans, project plans, status reports). - Excellent verbal and written communication skills (English), including the ability to engage both hands-on practitioners and executive stakeholders. - Practical knowledge of networking, security products, and enterprise network infrastructure. - Deep knowledge of Windows, macOS, and Linux, including SCCM, GPO, Intune, registry configuration, PowerShell scripting, MDM, application management, and basic terminal skills. - Software debugging skills: reading and searching logs (Windows, macOS, Linux, and Google Kubernetes Engine), running diagnostic scripts, and process management. - Knowledge of system software design (services, drivers, agents). - Based in EST timezone to support our customers. DESIRED - Familiarity with adjacent technologies that Cyberhaven integrates with (SIEM, SOAR, UEBA). - Prior experience as a TAM or in a similar proactive, account-owning role at a security or SaaS company. - Background in L2/L3 or Escalation Engineering for EDR or DLP tools. This is a plus, not a primary requirement. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: United States About SingleStore SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world’s most demanding data-intensive applications, working in a fast-moving environment where teams own their work end to end and partner closely across Product and customer-facing organizations. About the Flow team SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios. Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery. The product works across heterogeneous database environments, including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, and SingleStore-as-a-source. Position Overview We are looking for a Staff Engineer to provide technical leadership for Flow’s end-to-end data path from source systems and CDC through migration engines, APIs, Helios, and the customer experience. This is a hands-on individual contributor role with broad technical influence. You will own major architectural decisions, lead strategically important and release-defining initiatives, solve complex reliability and data-consistency problems, and help the team build durable systems that customers can trust with their most important migrations. You will remain close to the code while raising the technical bar for design, testing, observability, operational excellence, and AI-assisted engineering. The ideal candidate is a systems-minded engineer who enjoys working across product boundaries, can move comfortably between architecture and implementation, and knows how to turn difficult customer problems into scalable product improvements. What you’ll do Set technical direction for significant areas of Flow, including the migration engines, CDC pipeline, schema evolution, large-table migration, source-to-target data correctness, Flow APIs, Helios integration, and agent-assisted migration workflows. Lead the design and delivery of large, complex, release-defining projects from problem definition through production rollout. Make pragmatic architecture and build-versus-defer decisions that balance customer value, reliability, performance, maintainability, and delivery speed. Design and implement production-quality software while remaining hands-on in the codebase. Solve difficult, ambiguous problems involving data consistency, replication, schema drift, throughput, memory use, concurrency, failure recovery, and backward compatibility. Establish a high bar for technical design, code quality, testing, observability, security, and operational readiness. Drive root-cause analysis for customer-impacting issues and ensure that incidents result in durable fixes, better tests, improved diagnostics, or clearer operational safeguards. Improve the team’s ability to operate Flow in production through runbooks, dashboards, release discipline, incident response, and shared ownership of service health. Partner closely with Product Management, Engineering, Support, Solutions, and customers to translate real-world migration requirements into robust technical solutions. Mentor engineers, lead design and code reviews, distribute technical context, and help develop the next generation of technical leaders. Create clear technical documentation that makes architecture, APIs, customer journeys, trade-offs, and operational procedures understandable to the broader engineering organization. Advance AI-native development practices and agentic capabilities that improve engineering productivity and make customer migrations more self-serve. Required skills and experience Significant professional experience building and operating production software, typically 10+ years, or equivalent depth of experience and impact. Expert-level experience with Java including the ability to debug and improve complex, long-lived enterprise-grade codebases. Experience using JDBC with one or more databases, including working with SQL metadata, SQL datatypes, schema information, database-specific behavior, connection pooling, SQL execution, Apache Avro, Protocol Buffers, or similar serialization and integration technologies. Strong understanding of databases and data-intensive systems, including transactions, replication, indexing, connection management, and data consistency. Deep experience with MySQL and PostgreSQL Experience with Java performance engineering, including concurrency, thread pools, garbage collection, memory pressure, or back-pressure Hands-on experience with Change Data Capture or comparable streaming and replication technologies, such as database logs, logical replication, change tracking, checkpoints, or offsets. Demonstrated experience designing reliable, scalable distributed systems where correctness, performance, and availability matter. Experience with cloud-native services and container orchestration, preferably Kubernetes. Track record of leading large technical initiatives and making architecture decisions across team or functional-area boundaries. Strong testing discipline, including unit, integration, end-to-end, regression, performance, and failure-mode testing. Experience investigating production issues, writing root-cause analyses, and converting operational learnings into engineering improvements. Experience with observability, profiling, metrics, distributed tracing, and production dashboards. Excellent written and verbal communication, with the ability to explain complex technical decisions to engineers, product partners, and customer-facing teams. Demonstrated ability to mentor engineers and influence outcomes without relying on formal authority. Bachelor’s or Master’s (preferred) degree in Computer Science or a related field, or equivalent practical experience. Preferred qualifications Additional experience with one or more of Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, or SingleStore. Experience with schema evolution, schema-drift detection, datatype mapping, large-table migration, table slicing, throughput tuning, or zero-downtime data movement. Experience building APIs or full-stack product surfaces using Go, TypeScript, React, GraphQL, gRPC, or Kubernetes-native services. Experience building agentic applications, AI-assisted developer workflows, or systems that use LLMs to plan, diagnose, or automate operational tasks. Experience working directly with enterprise customers or customer-facing engineering teams on complex data or infrastructure problems. SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. Our benefits package for this role includes: stock options, flexible paid time off, monthly three-day weekends, 14 weeks of fully-paid gender-neutral parental leave, fertility and adoption assistance, mental health counseling, 401(k) retirement plan, and rich health insurance offerings—including medical, dental, vision and life and disability insurance. SingleStore’s base salary range for this position is: $160,000 - $210,000 USD. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice . ENG000526

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.

Задачи: — Разработка AI-продуктов и agentic workflows. — Интеграция LLM и создание RAG-систем. — Работа с Vector DB и внутренними API. — Вывод AI-решений в production. Требования: — Опыт 3+ года в Backend или Fullstack. — Владение Python, Go или Rust. — Опыт работы с API, Docker, Git и CI/CD. — Практический опыт с LLM API, RAG и Vector DB.

Location: London, England, United Kingdom At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Customer Architect has a passion for fostering strong customer relationships and maximizing customer experience. This dynamic role combines industry expertise with technical knowledge to ensure customers achieve maximum value from our solutions. As a  Customer Architect, you will focus on Strategic Technical Alignment, Operational Excellence and Expedited Issue Resolution and customer advocacy. If you thrive on problem-solving, building strategic partnerships, and driving operational excellence, we want to hear from you! Job Duties and Responsibilities: Serve as the technical expert on Reltio platform capabilities for customers as they develop solutions aligning with the customer’s business needs. Present technical knowledge of architectural designs including integration approaches. Deliver workshops and advisory services to enhance customer technical understanding, promoting optimal product usage and alignment with Reltio’s best practices. Hands-on experience working technically with customer engineering (Support), Advanced customer engineering, and cross-functional teams. Manage customer portfolio of tickets,  resolutions, and product enhancement requests. Own dedicated escalation paths with customers, coordinating resources and driving timely resolution of tickets to exceed customer expectations. Act as a single point of contact for customer engineering issues. Stay at the forefront of industry trends and challenges and offer Reltio’s customers informed and proactive guidance. Ensure a seamless onboarding experience, setting the foundation for long-term customer satisfaction. Participate in customer engagement initiatives, including executive business reviews and CSAT/NPS surveys to cultivate strong partnerships. Advocate for customer needs, translating them into documentation and product enhancement requests. Deliver the highest quality customer/partner experience and engage in highly technical discussions. Ability to travel to customer sites upon request. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor’s degree in computer science engineering or similar field of study. 5+ years of experience working in a technical support capacity. 5+ years of experience supporting enterprise products in a SaaS in a customer-facing role. 3+ years of experience with Public Clouds AWS/GCP/Azure and their services. 3+ years of experience with REST APIs and integration tools. 3+ years of experience with on-premise or cloud MDM solutions. Experience in observability and monitoring tools such as LogDNA, CloudWatch, etc. Experience interfacing directly with Product Management, and engineering teams to escalate and seek resolution on product issues as well as provide customer requirements for future product releases. Excellent reporting/analytical skills - experienced in developing dashboards with reporting technologies and influencing customers/partners by sharing action-oriented insights. Experience supporting both Enterprise-focused applications, preferably with a focus on data management, analytics, and big data platforms and technologies. Accountability - acceptance of responsibility and willingness to commit to and deliver measurable work and results. Excellent communication, problem-solving, risk management, and project management skills. Skills That Are Nice to Have: Prior experience working with data products within enterprise space. Prior experience working with Salesforce, Snowflake, GoogleBigQuery, etc. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Commercial Counsel to join our legal team. Reporting to the Head of EMEA Legal in London, you will interface with our Go-To-Market team to help ensure the fast and efficient execution of our agreements with customers. WHAT YOU’LL DO Generative AI has the power to greatly change the world and directly impact how things get done. Harvey is at the forefront of this change, and our mission is to make generative AI actionable and useful for our customers. This is a fast moving environment (we are a start-up!) that is serving some of the world’s most renowned law firms and professional service organizations. And this role will put you in the center of all of this. More specifically, you will: - Draft, review, and negotiate Commercial AI SaaS contracts - Under the leadership of the Head of EMEA Legal, help to continue to establish the legal function in the EMEA, laying down a strong substantive, organizational and relationship foundation for the legal presence in the region - Work on other legal issues as they arise We are a small, but growing company, and one of the best things about working in such an environment is that there is lots of opportunity to pick up other aspects of the legal work that supports our company. While the principal job will be as described above, there will be ample opportunities to broaden your wheelhouse here at Harvey! We use a hybrid work model of 3 days in the office per week. WHAT YOU HAVE - English qualified lawyer with 2+ years post qualification experience, either with the commercial or technology division of a leading private practice law firm and/or in-house with a technology company supporting SaaS or technology Go-To-Market or Business Development teams - Transactional background, including with technology, and/or IP licensing commercial agreements - AI experience welcomed but not required - Ability to think creatively, function independently and work proactively in a fast-paced environment - Team-focused and collaborative work style; willingness to build expertise and solve new challenges in an evolving practice - Hyper-responsive and service-oriented attitude, and a love for solving hard problems with a small tight-knit team DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel is occasionally required to meet with customers, approximately 1–3 times per quarter. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Experience working in or adjacent to the Legal industry a plus but not required COMPENSATION $240,000 OTE with a 50/50 split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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. Chez nous, on prend le jeu au sérieux. Nous recherchons des aventurières et des aventuriers curieux, prêts à trouver leur groupe, animés par l’imagination et par la volonté de créer ce qui n’a jamais été créé. Chez Hasbro et Wizards of the Coast, vous collaborerez avec des équipes passionnées afin de réinventer nos marques emblématiques et de créer des expériences qui suscitent la joie, les liens et le sentiment d’appartenance à une communauté grâce à la magie du jeu. Voici votre occasion de contribuer à façonner un jeu légendaire qui marque toute une vie. Aperçu du poste Nous recherchons un ingénieur principal ou une ingénieure principale en réseaux qui agira à titre de responsable technique de la transformation de notre réseau d’entreprise. Il s’agit du poste de contributeur individuel du niveau le plus élevé au sein de l’équipe d’ingénierie réseau. Vous concevrez le cadre d’accès réseau Zero Trust (ZTNA), gérerez notre environnement Palo Alto Panorama et prendrez des décisions clés là où la complexité et la sécurité se rencontrent. Vous travaillerez en étroite collaboration avec le ou la gestionnaire principal(e) de l’infrastructure réseau et infonuagique, et vous ferez équipe avec les équipes de la gestion des identités et des accès (GIA), de l’infrastructure infonuagique et de la 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’à l’infonuagique, afin d’aider nos équipes partout dans le monde à créer et à collaborer en toute sécurité. Vous mènerez ce projet à son terme. Lieu et modalités de travail Ce poste est basé à notre bureau de Montréal (Québec), au Canada, et suit un horaire hybride conçu pour favoriser la collaboration en personne. Les employés et employées doivent travailler sur place les mardis, mercredis et jeudis, avec la souplesse de travailler à distance ou sur place les lundis et vendredis. Vos responsabilités Agir à titre d’expert ou d’experte technique du programme ZTNA Network 2.0 : assumer la responsabilité de l’architecture, diriger les revues de conception, établir les normes d’ingénierie et résoudre tout problème critique survenant pendant la mise en œuvre. Concevoir et valider l’architecture ZTNA complète pour l’ensemble des sites principaux et internationaux : définir les zones réseau, la politique de segmentation et les exigences relatives à la posture des appareils afin d’éliminer le risque de déplacement latéral. Gérer Palo Alto Panorama au niveau de la plateforme : hiérarchie des modèles, création de groupes d’appareils, supervision de la distribution des politiques et prévention de la dérive de configuration sur l’ensemble des pare-feu de nouvelle génération (NGFW) sur site et connectés à l’infonuagique. Élaborer l’intégration infonuagique entre AWS et Palo Alto Panorama : préciser comment la politique de pare-feu native de l’infonuagique, la topologie du nuage privé virtuel (VPC) et la structure ZTNA sur site s’articulent au sein d’un plan d’application unifié. Diriger, conjointement avec l’équipe de la GIA, l’architecture de Palo Alto Cloud Identity Engine (CIE) à la deuxième année : bâtir le modèle d’application de l’identité au réseau, définir la taxonomie des zones réseau et piloter la migration des règles de pare-feu des utilisateurs fondées sur les adresses IP vers des règles fondées sur l’identité. Orienter les décisions d’architecture GlobalProtect : configuration de l’agent, politique de tunnellisation fractionnée, chaîne de confiance des certificats et normes de conformité des versions appliquées au moyen d’Intune. Élaborer et tenir à jour les documents d’architecture réseau, les registres de décisions et la bibliothèque de guides d’exploitation sur lesquels s’appuie l’ensemble de l’équipe pour accomplir ses tâches. Vous établissez la norme; l’équipe s’y conforme. Diriger les travaux de 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 fonction des vagues de déploiement du ZTNA. Collaborer avec l’ingénieur ou l’ingénieure en automatisation et fiabilité réseau pour bâtir des cadres de politiques d’autoréparation, des modèles d’automatisation de l’API de Panorama et des normes de pipelines d’intégration continue et de livraison continue (CI/CD) pour les changements de configuration réseau. Représenter l’ingénierie réseau lors des revues d’architecture interfonctionnelles avec les équipes de la GIA, de l’infrastructure infonuagique, de la sécurité et de la technologie centrale : vous apportez la perspective réseau dans les discussions où se décide l’architecture d’entreprise. Ce que vous apportez Plus de 10 ans d’expérience en ingénierie de réseaux d’entreprise, avec une expertise démontrée en conception d’architectures à grande échelle, et non seulement en exploitation. Connaissance approfondie des NGFW Palo Alto et de Panorama : hiérarchie des modèles, groupes d’appareils, élaboration de politiques de sécurité, traduction d’adresses réseau (NAT), politique de déchiffrement et environnements à systèmes virtuels multiples (vsys). Expérience éprouvée en architecture ZTNA : vous avez bâti un déploiement ZTNA, et pas seulement configuré un; vous comprenez le modèle de segmentation, la logique des politiques et les modes de défaillance. Connaissance complète de GlobalProtect : architecture de l’agent, configuration des passerelles, confiance des certificats, politique de tunnellisation fractionnée et dépannage de problèmes touchant divers types de terminaux à grande échelle. Expérience pratique de l’architecture réseau AWS : construction de VPC, Transit Gateway, Direct Connect, AWS Network Firewall et modèles de connectivité natifs de l’infonuagique qui s’intègrent à l’application des politiques sur site. Compréhension des modèles d’application de l’identité au 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 de réseau étendu défini par logiciel (SD-WAN) et de Prisma SD-WAN ou d’une solution équivalente : sélection intelligente des chemins, routage sensible aux applications et optimisation du réseau étendu dans une entreprise multisite. Expérience de la rédaction de documentation d’architecture réseau, de registres de décisions de conception et de normes d’ingénierie sur lesquels d’autres ingénieurs et ingénieures peuvent s’appuyer en toute confiance. Capacité de travailler de façon autonome à titre de partenaire technique de confiance auprès d’un ou d’une gestionnaire principal(e) : vous apportez l’expertise technique pour que la personne gestionnaire puisse se concentrer sur le programme, et vous faites avancer le travail sans supervision étroite. Excellentes habiletés de communication auprès des publics techniques et non techniques. Vous êtes en mesure d’expliquer un modèle de segmentation par zones à un ou une chef de la sécurité de l’information (CISO) et une hiérarchie de modèles Panorama à un ingénieur ou une ingénieure débutant(e) au cours de la même après-midi. Une maîtrise professionnelle du français et de l’anglais est requise pour ce poste. L’anglais est nécessaire pour communiquer et collaborer régulièrement avec des collègues et des leaders basés aux États-Unis, qui travaillent principalement en anglais. Ce qui vous distingue Expérience pratique de Palo Alto Cloud Identity Engine (CIE) : intégration de l’appartenance à des groupes Okta ou Entra dans l’application des politiques des NGFW. Expertise en automatisation réseau : scripts Python, Ansible ou API de Panorama pour l’automatisation des politiques, la vérification de la conformité ou les configurations d’autoréparation. Expérience en configuration réseau GCP : VPC Service Controls, Cloud Armor ou modèles de connectivité hybride reliant GCP et la structure ZTNA sur site. Expérience de travail au sein d’une entreprise de divertissement ou de jeux multistudio et multisite, dotée d’une infrastructure internationale répartie géographiquement. Certifications actives : PCNSE (Palo Alto Certified Network Security Engineer), spécialiste ZTNA ou AWS Advanced Networking Specialty. Qui nous sommes Nous sommes une équipe de créatrices et créateurs, de conteuses et conteurs et d’innovatrices et innovateurs réunis au sein de la famille Hasbro, qui abrite des marques adorées, des studios de jeux numériques AAA et des expériences immersives qui stimulent l’imagination de génération en génération. Ensemble, nous nous engageons à cultiver une culture fondée sur la créativité, l’excellence, la curiosité et l’inclusion, où chaque employé et employée est habilité(e) à penser avec audace, à agir avec intégrité et à faire naître la joie pour tous et toutes. Hasbro À propos de l’entreprise – Hasbro Wizards of the Coast Qui nous sommes – Wizards of the Coast Égalité des chances 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 matrimonial ou à tout autre motif protégé par la loi. Mesures d’adaptation Si vous avez un handicap et avez besoin de mesures d’adaptation raisonnables pendant le processus d’embauche, veuillez en informer votre recruteur ou votre recruteuse à tout moment au cours du processus. Avis concernant l’utilisation de l’IA par Hasbro dans le processus de recrutement Nous utilisons l’outil de jumelage de talents (Talent Matching) alimenté par l’IA de Greenhouse pour comparer votre candidature à nos exigences du poste. Fonctionnement : l’outil Talent Matching compare les renseignements figurant dans votre curriculum vitæ et vos réponses à la candidature à des critères liés au poste, établis et pondérés par les équipes de recrutement et d’embauche de Hasbro. Selon le poste, ces critères peuvent inclure les compétences pertinentes, l’expérience de travail, les titres de postes précédents et l’expérience dans l’industrie. L’outil attribue ensuite une catégorie de correspondance afin d’aider à organiser les candidatures en vue de leur examen. Supervision humaine : l’outil Talent Matching soutient l’examen par des personnes, sans toutefois le remplacer. Il ne fait pas progresser ni ne rejette automatiquement des candidatures et ne prend aucune décision d’embauche. Les recruteurs et recruteuses ainsi que les gestionnaires responsables de l’embauche de Hasbro examinent les candidatures et demeurent responsables de toutes les décisions d’embauche. Greenhouse a publié les résultats d’un audit indépendant des biais de l’outil Talent Matching. Consulter les résultats de l’audit de Greenhouse Talent Matching . #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 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: 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.