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Location: New York; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a Security Operations Engineer to improve how Alchemy detects threats, investigates incidents, and reduces operational security risk. This is a hands-on individual-contributor role with no people-management responsibilities. You'll investigate suspicious activity and build the systems that make the next investigation faster and more reliable. AI-assisted engineering and investigation should be part of your daily work: connecting evidence, developing detections, building response workflows, and checking the results against source data. You'll also help the team get better at this work. Through shared tooling, code review, pairing, and practical documentation, you'll give teammates capabilities they can use independently.   WHAT YOU WILL DO - Detect and investigate threats. Triage alerts, hunt for suspicious activity, and investigate across cloud infrastructure, corporate systems, identity, endpoints, and production environments. Establish what happened from evidence and communicate uncertainty clearly. - Engineer detection coverage. Build and tune detections, onboard useful telemetry, and maintain reliable log pipelines. Test rules against representative attacks and benign activity; address missing coverage and noisy alerts. - Respond to incidents. Participate in the security on-call rotation and incident response, including scoping, containment, recovery, and post-incident improvements. Preserve evidence and coordinate changes with system owners. - Build AI-assisted security workflows. Automate evidence collection, alert enrichment, investigation timelines, and response preparation. Connect agents to approved tools and data sources so they can complete bounded tasks with traceable results. - Verify before trusting. Evaluate AI-assisted workflows against known cases and adversarial inputs. Require evidence for conclusions, test false-positive and missed-threat behavior, and keep human approval for disruptive containment actions. - Reduce operational exposure. Partner with Infrastructure and IT on vulnerability remediation, cloud and host hardening, identity controls, and attack-surface monitoring. Prioritize findings by exposure and impact, then verify remediation. - Help secure agent operations. Work with platform and product-security partners on operational controls for agent identities, credentials, tool access, and audit logging. Investigate misuse and build detections for suspicious agent behavior. - Improve how the team works. Share reusable code, investigation skills, runbooks, and evaluation cases. Pair with teammates, review automation, and teach approaches they can apply to their own investigations. - Measure defensive outcomes. Track detection coverage, alert quality, investigation effort, response time, and remediation progress. Use those measures to decide what to improve next.   WHAT WE ARE LOOKING FOR - Hands-on security operations experience spanning detection engineering, threat hunting, and incident response. - Strong scripting and software-building ability, especially Python; experience with APIs, version control, tests, and operating automation in production. - Experience with a SIEM such as Panther, Splunk, or an equivalent platform, including detection logic and log analysis. - Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems. Ability to investigate across system boundaries. - Evidence of building and using AI-assisted tools in security or adjacent engineering work. You can show how you validate outputs, handle failures, and protect sensitive information. - Sound incident judgment: you can separate a hypothesis from a finding, preserve evidence, and choose when to escalate or contain. - A record of making teammates more effective through tools, mentoring, code review, or documentation, without needing management authority. - Clear written communication and the willingness to own both urgent investigations and the follow-through that prevents repeat incidents.   HELPFUL EXPERIENCE - AWS, Kubernetes, bare-metal infrastructure, detection-as-code, or SOAR workflows. - Digital forensics, threat intelligence, or testing detections through attack simulation. - Securing AI agents and tool integrations, including prompt injection, credential misuse, and data-exfiltration risks. - Blockchain infrastructure or other environments with sensitive keys and high-impact production systems.   WHAT SUCCESS LOOKS LIKE - Investigations reach evidence-backed conclusions faster. Detection coverage improves, repeat noise declines, and remediation is verified. The team adopts tools and workflows you've built, with clear limits on what agents may do and a tested path for handling failures.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re looking for a Release Manager to own how Tailscale ships our product, both internally and to customers. You’ll build and run our release coordination process and create the operational practices that coordinate product and engineering. You’ll work closely with engineering leads, product managers, TPMs and support. At first you’ll focus on building release management from the ground up: setting the release cadence, defining roles, building tooling, and agreeing on norms with the teams involved in releases. Later, it will grow into creating processes around other parts of how product and engineering collaborate, like operational metrics. You should understand how software gets shipped, including branching strategies, build pipelines, feature flags, and rollout mechanics. Your technical aptitude will allow you to design release processes that engineers trust and use. Tailscale moves fast and your processes should help us maintain our speed. When a process works well, it is nearly invisible - it keeps the right people informed, stays out of engineers’ way, and gives the team a plan. Key Responsibilities Design, implement, and continuously improve Tailscale’s release management process: including release cadence, readiness criteria, rollout coordination, and go/no-go decisions Build and maintain the tooling, templates, runbooks, and documentation that make release processes repeatable and low-friction Partner with engineering leads and product managers to surface risk early and drive resolution before it becomes a crisis Define and track operational metrics that reflect the health of our release practices (e.g., release frequency, change failure rate) Keep releases on schedule by facilitating cross-team planning rituals that keep engineering and product coordinated Identify and drive systemic improvements to how we operate, using data and judgment to prioritize what actually matters What We Are Looking For 5+ years in engineering operations, release management, or a closely related role at a software company Direct experience building or significantly improving release management processes Technical fluency: you understand software development deeply enough to have credible conversations with engineers about build systems, deployment pipelines, branching strategies, and production operations Strong instincts for what process is worth having and what’s just overhead, and optimizing process for trust and adoption Comfort with ambiguity and the ability to build structure from scratch Nice to Have Experience with both client and server software release processes Experience at a developer tools, infrastructure, or security-focused SaaS company Familiarity with DORA metrics and how to use them to drive meaningful improvement Experience with feature flag systems, progressive rollouts, or canary deployments as release tools Experience scaling operational practices through periods of rapid team or product growth Hands-on experience with Tailscale at work or home As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $181,000 — $226,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re looking for a Release Manager to own how Tailscale ships our product, both internally and to customers. You’ll build and run our release coordination process and create the operational practices that coordinate product and engineering. You’ll work closely with engineering leads, product managers, TPMs and support. At first you’ll focus on building release management from the ground up: setting the release cadence, defining roles, building tooling, and agreeing on norms with the teams involved in releases. Later, it will grow into creating processes around other parts of how product and engineering collaborate, like operational metrics. You should understand how software gets shipped, including branching strategies, build pipelines, feature flags, and rollout mechanics. Your technical aptitude will allow you to design release processes that engineers trust and use. Tailscale moves fast and your processes should help us maintain our speed. When a process works well, it is nearly invisible - it keeps the right people informed, stays out of engineers’ way, and gives the team a plan. Key Responsibilities Design, implement, and continuously improve Tailscale’s release management process: including release cadence, readiness criteria, rollout coordination, and go/no-go decisions Build and maintain the tooling, templates, runbooks, and documentation that make release processes repeatable and low-friction Partner with engineering leads and product managers to surface risk early and drive resolution before it becomes a crisis Define and track operational metrics that reflect the health of our release practices (e.g., release frequency, change failure rate) Keep releases on schedule by facilitating cross-team planning rituals that keep engineering and product coordinated Identify and drive systemic improvements to how we operate, using data and judgment to prioritize what actually matters What We Are Looking For 5+ years in engineering operations, release management, or a closely related role at a software company Direct experience building or significantly improving release management processes Technical fluency: you understand software development deeply enough to have credible conversations with engineers about build systems, deployment pipelines, branching strategies, and production operations Strong instincts for what process is worth having and what’s just overhead, and optimizing process for trust and adoption Comfort with ambiguity and the ability to build structure from scratch Nice to Have Experience with both client and server software release processes Experience at a developer tools, infrastructure, or security-focused SaaS company Familiarity with DORA metrics and how to use them to drive meaningful improvement Experience with feature flag systems, progressive rollouts, or canary deployments as release tools Experience scaling operational practices through periods of rapid team or product growth Hands-on experience with Tailscale at work or home As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $242,540 — $302,840 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. In a rapidly evolving world, trust in AI depends on agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We’re looking for an experienced Data Analyst who has built evaluation systems for complex technology products and is excited to take end-to-end ownership of quality in search built for AI agents. This role combines hands-on engineering, analytical judgment, and mathematical rigor, with the scope and influence to shape both technical decisions and product direction. We move at a startup pace, with plenty of open questions and difficult problems to solve. In this position, you will: • Own the quality measurement and improvement cycle end-to-end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes.. • Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions.. • Evaluate response quality across multiple dimensions, including relevance, completeness, freshness, factual accuracy, and usefulness to downstream agents.. • Investigate quality regressions and metric anomalies, uncover root causes, and identify the improvements with the greatest potential impact.. • Help prioritize the product and engineering roadmap, making quality trade-offs explicit and assessing whether changes deliver meaningful improvements for users.. We expect you to have: • Substantial hands-on experience designing and building evaluation or quality measurement systems for complex technology products, such as search, AI agents, voice technologies, autonomous driving, recommendation systems, advertising, or other similar complex systems.. • A track record of owning ambiguous problems from initial framing through implementation, diagnosis, and measurable product improvement.. • Strong Python skills and an engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools.. • A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias.. • Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement matters to users.. • The ability to reason across user needs, product behavior, and technical systems, and to translate that understanding into actionable evaluations.. • Strong communication and collaboration skills, with the ability to influence technical and product decisions.. • The independence to make progress in a fast-moving environment where requirements, methods, and definitions of success are still evolving. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Vancouver, BC The Product Management team drives Asana’s product strategy and execution, translating customer needs into products that help teams work together and see the larger purpose behind their work. As AI agents become part of how work gets done, we’re building new ways for people, developers, and agents to collaborate through Asana’s Work Graph. We’re looking for a Lead Product Manager to lead product strategy for Asana’s APIs and Model Context Protocol (MCP) server. You’ll help external developers and AI agents understand and act on the work teams manage in Asana—from tasks and projects to the goals, ownership, and dependencies that connect them. You’ll shape a platform that makes these workflows useful, reliable, and secure, balancing developer experience with the controls enterprise customers need. You’re a technical product leader who can reason deeply about systems, turn emerging customer needs into a focused roadmap, and bring engineering, design, research, and go-to-market partners together to deliver meaningful outcomes. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for Asana’s APIs and MCP server, connecting developer and customer needs to Asana’s broader product strategy. Enable external developers and agents to complete valuable workflows in Asana, and improve the journey from discovering Asana's APIs and MCP tools to completing a first successful workflow. Expand access to Work Graph capabilities in partnership with the teams that own them. Reduce friction in documentation, authorization, and everyday use. Partner closely with engineering to improve platform reliability, performance, and compatibility as API and MCP capabilities evolve. Use customer feedback, evaluations, and success measures (adoption, workflow completion, reliability, and time to value) to identify where workflows fail and prioritize improvements. Work with security and enterprise product teams to make agent access trustworthy. Define clear permissions, administrative controls, and accountability for actions taken by agents. Lead initiatives from discovery through launch and iteration across multiple teams. Measure success through adoption, workflow completion, reliability, and time to value. About you 6-8 years of product management experience, with a track record of launching and growing products in B2B SaaS, enterprise software, or developer platforms. Experience shaping technical platform or developer-facing products, including APIs and MCP servers, and connecting API and infrastructure decisions to real customer problems and business outcomes. Technical fluency and systems thinking. You can reason about APIs, authentication, permissions, dependencies, and failure modes, and translate technical protocols into clear end-to-end user flows. You have experience designing API contracts, managing versioning and backward compatibility, and owning SDKs and developer documentation. Strong product judgment. You can navigate ambiguity, identify the core problem, and turn a broad opportunity into a focused, sequenced roadmap. A customer-centered, analytical approach. You seek out developer and user feedback, define meaningful success measures, and use evidence to guide prioritization and iteration. Proven ability to lead end-to-end product delivery and align multiple teams around difficult decisions. You communicate clearly with technical and nontechnical partners and keep execution moving across dependencies. Experience mentoring and developing other product managers. Preferred: bachelor's degree in computer science, engineering, or a related field. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $211,000-$240,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Work on AI-powered automation of clinical and operational workflows, evaluate LLM performance, design experiments, analyze product metrics, and measure the real business impact of AI solutions.

Location: Prague Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. The Depo Intelligence team powers the AI behind Filevine's deposition product line. We deliver automated post-deposition transcript analysis, timelines, summaries, and witness impressions. Our latest product, Depo Copilot, assists attorneys during deposition preparation and delivers real-time insights during live proceedings. Additionally, our intelligent insights extend support to the Filevine Meetings and Notetaking apps. As the Tech Lead for Depo Intelligence, you will drive the technical direction of our AI systems. This is a hands-on machine learning role requiring strong software engineering skills. You will spend your time designing and building LLM pipelines and evaluations, as well as leading the team's architectural and design choices. You will collaborate closely with the team's Engineering Manager, who handles people management and delivery, allowing you to focus squarely on technical leadership. Key Responsibilities Own the technical vision and system architecture for machine learning workflows driving Depo Copilot, Depo Summaries, and the Meetings and Notetaking app. Architect and build LLM pipelines capable of reasoning over extensive case files and real-time transcripts, ensuring all outputs are fully grounded in source material. Determine optimal model strategies - evaluating when custom fine-tuning or trained models are required over prompt engineering - and lead implementation. Establish evaluation frameworks alongside our legal experts and annotators, creating custom datasets, rubrics, offline metrics, and release checks to proactively prevent regressions. Optimize pipeline efficiency, latency, and operational costs for live streaming analysis using strategic model selection, fallbacks, and precomputation. Transition prototypes into production-grade systems with typed contracts, test coverage, tracing, and observability, serving as technical lead for incident response during live proceedings. Author design documents, guide architectural decisions, and partner with Product, product engineering, speech recognition, and document retrieval teams to translate roadmap goals into actionable technical plans. Mentor machine learning engineers through detailed code reviews, pair programming, and design feedback while clearly communicating technical outcomes and tradeoffs to business stakeholders. Who are you? Minimum of 5 years of experience building production ML or software systems, including at least 3 years in machine learning roles with end-to-end project ownership. Proven track record of technical leadership, including conducting design reviews, setting architectural direction, and mentoring engineers. Strong background in NLP and production LLM systems, encompassing retrieval and grounding, long-context reasoning, structured outputs, evaluation, and mitigation of common failure modes. Experience designing evaluation frameworks for generative AI systems, including developing datasets and rubrics in collaboration with domain experts and annotators. Solid software engineering foundations, including API design, data modeling, distributed and asynchronous workflows, testing, and fault tolerance. Advanced proficiency in Python, alongside hands-on experience with PyTorch or other deep learning frameworks. Experience with real-time/streaming systems or legal domain NLP is a plus. Strong written and verbal communication skills in English, a collaborative team spirit, and an autonomous problem-solving mindset. Ability to meet periodically at our Prague or Bratislava office to support in-person collaboration. Our current stack primarily utilizes Python (DSPy, Pydantic, Temporal), PostgreSQL, Kubernetes, AWS, Google Cloud, and multi-provider LLMs; strong core engineering skills are prioritized over familiarity with specific tools or frameworks. Compensation starts at 190,000 CZK per month, with the final offer determined by the candidate’s seniority and experience. This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction. This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system architecture, code quality, security, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the eval bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation. Set the evals and guardrails strategy for your area: what gates a release, what production signals the team watches, and how a change is simulated against historical claims before it ships. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Design the NLP pipelines that turn unstructured claim data into structured data customers can act on, choosing where semantic search, classical NLP, or an LLM fits. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Set the privacy and security baseline every system in your area starts from: tenant isolation, least-privilege access for agents and their tools, redaction, retention, and what data may reach a model provider. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration. Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed. An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability. Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Experience with agent frameworks, LangGraph, PydanticAI, and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, every model change in your area is gated by evals you designed, regressions are caught before a customer sees them, and you can show the accuracy number held or moved. You are trusted with the high-stakes, ambiguous problems, and you turn them into a roadmap, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: the ones you design have their failure modes understood in advance, and when one fails anyway, the trace says exactly where. Privacy and security reviews of systems in your area find nothing that was not already designed in. Standards you set for evals, reviews, and design documents outlive the project they started on. Engineers you mentor ship LLM-powered features with evals and guardrails in place without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: The Senior Manager, Technical Excellence & Escalations leads the two teams that sit between Technical Support and the rest of the business: the global Technical Excellence team, staffed by our Technical Leads, and the global Escalations Engineering team. Both produce Tenable's earliest and clearest signal about product supportability and customer risk. Both have historically produced that signal faster than the organization could act on it. This role exists to close that gap. This is not a queue-management job. The Senior Manager is accountable for two outcomes: turning Technical Lead expertise and escalation findings into tracked change with Product and Engineering, and running one escalations practice that behaves identically in AMER, EMEA, and APJ. The role sits within Operations & Scale and works in close partnership with the Sr. Director, who sets overall strategy and carries the executive narrative. The Senior Manager owns the operating model, the day-to-day practice, and the working-level relationships with Product and Engineering that make change actually happen. They lead senior individual contributors who are already force multipliers — which makes this a job about influence and orchestration, not direction. Who You Are An orchestrator, not a bottleneck. You create the conditions for senior experts to influence the organization instead of routing their work through yourself. Technically credible. You have the depth to earn respect from Principal-level engineers and to challenge an Engineering assessment that doesn't hold up. A clear communicator under pressure. You can hold a room containing both a frustrated customer and an Engineering lead, and translate technical detail into business consequence. A systems thinker. You are drawn to the pattern behind the escalation. You would rather fix the class of problem than win the individual case. Comfortable influencing without authority. Much of what this role must accomplish depends on teams you don't own. Effective remotely. You build trust and hold a team together without relying on being in the room, and you communicate in writing well enough that distance isn't a handicap. A developer of senior talent. You are energized by growing people who are already very good, and you give direct feedback. Your Opportunity: Technical Excellence Team Run the operating model and product coverage plan for the global Technical Excellence team — every strategic product has clear lead ownership, defined authority, and no coverage gaps across theaters. Set the team's working agenda: what leads work on, what they own, and how their time splits between reactive escalation support and proactive supportability work. Turn Technical Lead findings — defect patterns, supportability gaps, documentation failures, recurring friction — into one prioritized, evidence-backed agenda, not a stream of individual product complaints. Position Technical Leads as credible partners in Product and Engineering forums, with the data, framing, and support they need to influence rather than escalate. Contribute to the Technical Lead career path with the Education & Enablement Manager, and apply it consistently — progression from Technical Lead through Senior and Principal, and the competencies that separate each grade. Global Escalations Practice Own the global escalations practice day to day: process design, entry and exit criteria, severity definitions, roles, communication standards, and adherence. Drive it to a single global standard. One model, consistently applied and measured across all theaters, with regional variance only where legally or operationally required. Operate and enforce the working agreement with Product Engineering — SLA adherence for escalated defects, prioritization criteria, update cadence, and follow-through on resolution commitments. Escalate structural breakdowns to the Sr. Director. Own the quality of post-escalation output. Every RCA and post-incident report produces a tracked action, not a filed document. Build the prevention agenda: analyze root cause patterns and drive the upstream product, process, tooling, or enablement changes that reduce escalation volume and re-escalation rate. Act as the Technical Support point of contact for high-severity customer situations — providing assurance and coordination without displacing the assigned Escalations Engineer. Driving Change Across the Organization Represent Technical Support in roadmap, release readiness, and quality forums at the Product Management and Engineering Manager level, making the supportability and escalation-risk case with data. Run the working-level feedback loop into Product and Engineering: defined cadence, shared prioritization, visible tracking from support signal to shipped change. Assemble the evidence behind supportability investment — ticket volume, escalation cost, re-escalation overhead — and partner with the Sr. Director to convert it into a business case that earns engineering capacity. Partner with Engineering on release quality gates so Technical Support has meaningful input before GA, not remediation duty after it. Represent both teams in cross-functional work with Customer Success, Sales Engineering, and Professional Services where escalation or account risk is in scope. Produce the regular supportability and escalation readout for the Sr. Director: narrative, trend, and recommendation — not raw metrics. Present directly to senior leadership as requested. Work with the Operations Manager to instrument escalation and Technical Lead activity in TSO reporting, so the teams' signal is visible without manual pulls. Leadership & People Development Lead and develop a senior, highly autonomous, globally distributed team, including the Principal Technical Lead as a technical partner and strategic extension of the function. Operate as a player-coach: hold the operating cadence and coach the team, and step personally into a live critical escalation or a difficult Engineering conversation when it matters. Build succession depth in both teams and eliminate single-person dependency on strategic products and accounts. Partner with the Education & Enablement Manager — a peer in the same function — to close skill gaps in both populations and feed field learnings into broader Technical Support enablement and certification. Set goals, performance expectations, and measurement for both teams in line with global Technical Support objectives. Drive AI adoption within Technical Lead and Escalations workflows under the Support AI governance framework, acting as the proving ground for capability the wider TSO will inherit. What You'll Need: 8+ years in Technical Support, Escalation Management, or customer-facing engineering in enterprise software, with recent focus on security or vulnerability management. 3+ years managing technical teams — ideally senior individual contributors, technical leads, or escalation engineers. Experience managing remote and globally distributed teams strongly preferred. Hands-on experience running an escalation practice or program, including process design and cross-functional coordination. Demonstrated ability to influence product and engineering priorities using support and escalation data. Experience operating within Support–Engineering agreements, including SLA adherence for defect resolution. Comfort with support metrics and the analysis behind them — escalation volume, re-escalation rate, time-to-resolution, ticket volume reduction — and the ability to build the evidence case for investment. Strong understanding of Tenable's product portfolio and security best practices, or the demonstrated ability to reach it quickly. Technical foundation across networking, authentication, operating systems, and cloud (AWS/Azure/GCP) sufficient to lead technical discussions credibly. Excellent written and verbal communication; comfortable with senior stakeholders and with customers at any level. Bachelor's degree in Computer Science, Information Systems, or equivalent experience. Able to work in a hybrid/on-site capacity at our office in Columbia MD. Available to provide leadership coverage for critical escalations outside standard business hours as needed, and to work across AMER, EMEA, and APJ time zones to support globally distributed teams. Occasional travel as required for team, customer, and cross-functional engagements. Flexibility to perform other duties as deemed necessary by management. And Ideally: Cybersecurity or adjacent enterprise security SaaS experience. Prior time as a Technical Lead, Principal Engineer, or Escalations Engineer — credibility earned in the seat. Product Management or program management exposure. Familiarity with AI-assisted support workflows and their governance. Experience supporting FedRAMP or other regulated environments. #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $130,000 — $173,333.33 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Paris Workplace: Hybrid 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. About the Role We're looking for a hands-on Robotics Operations Specialist to support teleoperation sessions, robot benchmarks, robotics data quality, and evaluation runs. You'll work closely with engineers and operators to ensure sessions run on time and on spec - troubleshooting hardware issues in real time, preparing evaluation environments, and helping improve operational processes. Responsibilities Teleoperations Support & Operator Relations - Provide hands-on support during teleoperation sessions: setup, monitoring, and real-time troubleshooting - Debug equipment issues (connectivity, hardware faults, peripheral failures) and escalate when needed - Manage session scheduling, collector onboarding, equipment handoff, and session-readiness checks - Travel to client sites and data collection locations to onboard and train operators on teleoperation systems, protocols, and best practices - Serve as the liaison between operators and hardware/data collection teams - systematically gathering feedback on equipment usability, workflow friction, and potential improvements - Synthesize actionable insights to inform hardware development and process decisions Benchmark & Evaluation Operations - Support execution of robot benchmarks and evaluations alongside research and engineering teams - Prepare robots, stations, props, and task environments according to defined protocols - Ensure consistent resets, trial conditions, and operator execution across runs - Investigate failed or inconsistent runs to identify whether issues stem from the model, robot hardware, environment setup, or operator execution Data Quality & Annotation - Review collected datasets to assess quality, flag inconsistencies, and ensure data meets training standards - Onboard annotators on robotics annotations to assess video quality - Perform data analysis to identify patterns in collection quality, operator performance, and session outcomes - Collaborate with research teams to refine annotation guidelines and quality criteria - Maintain quality metrics and contribute to reporting on dataset health across collection campaigns Validation & System Integration - Verify that hardware, software packages, and peripherals work smoothly together across the robotics stack - Run tests in lab and staging environments, log bug reports, and contribute to root-cause analysis of recurring or production issues - Support test plan execution by following defined acceptance criteria and documenting results - Maintain detailed operational documentation for internal quality gates and runbooks What We're Looking For - Comfortable working hands-on with physical hardware: diagnosing, setting up, and maintaining equipment - Strong communicator who can work fluidly with both engineers and non-technical operators - Able to work autonomously and exercise independent judgment on methods and execution Nice to Have - Familiarity with robotics and teleoperation systems - Background in a research or hardware-forward environment - Experience writing operational runbooks or technical documentation   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.

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 TEAM Mistral Cloud builds and operates the infrastructure that powers Mistral's AI. The Data Centers team signs long-term leases for data center capacity developed by third-party operators, sources the GPUs that fill those halls, and runs the workloads that train and serve Mistral's models. Today the team is around 40 people, mainly based in Paris with some remote members, and operates roughly 200 MW of existing capacity across France. Key partners include Éclairion in France and EcoDC in Sweden, which is currently delivering Mistral's first Swedish data center. The team sits at the center of an ambitious roadmap: Mistral has publicly committed to securing one gigawatt of data center capacity globally by 2030. With 200 MW already online, roughly 800 MW remain to be secured over the next five years. THE ROLE This hire acquires the data center capacity that Mistral's next generation of models will run on. Across Europe, you will negotiate co-location agreements and built-to-suit contracts with data center developers, structure master services agreements and order forms, and make sourcing decisions grounded in a deep understanding of what the capacity will actually be used for: training frontier LLMs, serving inference at scale, or both. The role sits at the intersection of commercial negotiation and technical infrastructure. You will need to translate workload requirements into contract terms, assess whether a given site can deliver the power, cooling, and connectivity Mistral needs, and close deals that lock in capacity years before the GPUs arrive. WHAT YOU WILL DO - Negotiate master services agreements, order forms, and co-location or built-to-suit contracts with data center developers across Europe - Structure capacity sourcing decisions based on workload requirements: training, inference, or hybrid - Assess data center sites for power delivery, cooling, connectivity, and commissioning timelines - Work with Mistral's science and infrastructure teams to align capacity plans with model roadmaps - Manage relationships with existing data center partners including Éclairion and EcoDC WHAT WE'RE LOOKING FOR - You have negotiated data center contracts. You have closed master services agreements, order forms, or co-location / built-to-suit deals in the data center or infrastructure sector. - You understand capacity delivery. You know what it takes to commission a data hall: power, cooling, connectivity, timelines, and the failure modes that delay go-live. - You can translate technical requirements into commercial terms. You have structured sourcing decisions based on workload needs, whether for training clusters or inference serving. - You operate across borders. You have worked with counterparties across multiple European jurisdictions and are comfortable with cross-border negotiation. 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.

Location: Israel - Office - Tel Aviv Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Opportunity: Tenable is hiring a Technical Director of Architecture: a hands-on generalist who can take on any technical problem in the platform and carry it to a decision. The scope is deliberately broad. You will move between data processing and streaming, platform infrastructure, CI/CD and release engineering, application architecture, and the security surfaces our customers depend on. Some weeks you will design a pipeline that has to hold trillions of events. Others you will be inside a product team's codebase untangling a consistency problem, or writing the prototype that settles whether an approach actually works. You report to the Chief Architect and serve as a floating senior technical authority: the person teams call when a problem crosses ownership boundaries or has no obvious owner. Your Role: Architecture Across the Platform Own architectural direction for problems that span product lines: data models, service boundaries, integration patterns, and failure behavior. Work wherever the need is highest across data processing, platform infrastructure, delivery, application tiers, and security, and become productive in a new domain quickly. Maintain a rolling 6-12 month technical roadmap with a clear end state and discrete, deliverable phases. Identify systemic risk and accumulated technical debt, size the blast radius, and partner with Product Management to sequence the remediation. Hands-On Engineering Write code, review code, and prototype. Debug production problems where the diagnosis is architectural. Review design documents and pull requests deeply enough to catch what everyone else missed. Build proof-of-concepts that test a hypothesis and settle debates with evidence. Set the standard for engineering rigor through your own work. Reducing Complexity Simplify the technology surface: fewer competing choices, clearer guardrails, paved paths that teams actually take. Streamline development patterns to shorten time-to-first-change and reduce MTTR. Establish standards for how systems are designed, doc umented, and handed to operations. Influence and Leadership Act as the final technical authority in your domain and own the call once it is made. Partner with Technical Leads, Product Owners, SRE, and Data Platform teams to keep architecture aligned to business objectives. Present options to leadership with honest trade-offs and a defensible recommendation. Mentor engineers at every career stage and raise the architectural judgment of the wider organization. Drive adoption of your own designs. An architecture nobody runs is a document. AI-Augmented Engineering Use AI tooling as part of your daily practice: code generation, codebase comprehension, test generation, review, and investigation. Model the standard for the organization: where AI accelerates the work, where it misleads, and how to verify what it produces. Apply AI to architecture and operations problems, including pipeline analysis, incident triage, runbook automation, and capacity planning. Evaluate new tools and make pragmatic build-versus-buy-versus-adopt recommendations with a clear view of the risk. How We'll Measure Success: Architectural clarity: decisions documented, roadmaps with clear phase gates, an end state people understand. Delivery impact: measurable improvement in lead time, deployment frequency, change failure rate, and MTTR on the teams you have worked with. Simplification: fewer competing patterns, lower cost of change, and a faster ramp for new engineers. AI adoption: velocity and quality gains from AI-assisted engineering that hold up under measurement. Trusted partnerships: engineering, product, and SRE leaders seek you out early. Team growth: a visible lift in architectural judgment across the organization. What You'll Need: 10+ years of software engineering experience, with meaningful depth in architecture at scale. Generalist range: you have shipped in more than one of services, data, infrastructure, or delivery, and you become productive in a new domain within weeks. Hands-on fluency: you can read an unfamiliar codebase and contribute to it, write a service or a Terraform module, debug a distributed failure, and review code with authority. Systems thinking: you reason naturally about failure modes, blast radius, and second-order effects. Strong written communication: you make a hard architectural problem legible to an engineer, a product manager, and an executive. Working fluency with AI-assisted development: you use these tools regularly, understand their failure modes, and can tell when their output is wrong. Comfort with ambiguity: you take an underspecified problem, define it, and drive it to a decision. And Ideally: Depth in one area: data processing and streaming (Kafka, Spark, Flink), cloud platform and Kubernetes, or CI/CD and release engineering. Experience with cybersecurity or security product platforms. Platform engineering patterns: internal developer platforms, self-service infrastructure, golden paths. FinOps and cost optimization at scale. Public technical writing or open-source contributions. Experience moving an organization from legacy patterns to modern architecture. If this sounds like the environment where you do your best work, we'd love to meet you. Tenable is committed to Equal Employment Opportunity (EEO) — through all applicable laws and regulations at the international, federal, state, and local levels. #LI-TA1 #LI-Office We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

We're looking for a Marketing Design Team Lead who is equal parts creative leader, marketer, and AI geek, someone who knows how to achieve business goals through visuals that actually sell. Lead, mentor, and scale a team of 3 to 6 AI-driven Creative Designers - grow people, not just output;

Location: Mexico; Brazil; Costa Rica; Argentina; Colombia; Bolivia, Plurinational State of We are seeking a proactive Site Reliability Engineer (SRE) to keep a secure SaaS platform fast, reliable, and continuously improving. You will support a hybrid technology stack spanning Windows-based applications (.NET, IIS, SQL Server) and cloud-native infrastructure (AWS, containers, Kubernetes, and Terraform). This is a hands-on role for someone who takes ownership of production reliability, enjoys investigating complex failures, and independently identifies opportunities to improve systems. Prior Windows or SQL Server experience is not required if you bring strong infrastructure and relational database fundamentals and can learn unfamiliar technologies independently. Responsibilities Own availability, reliability, and performance of core backend infrastructure across Windows and Linux environments. Improve observability using Kibana, CloudWatch, centralized logging, and custom telemetry; identify monitoring gaps before incidents occur. Build, maintain, and improve CI/CD pipelines and infrastructure as code using Terraform and Ansible. Learn and operate production Windows environments, including .NET Framework/.NET Core applications hosted on IIS. Learn and support SQL Server, including AlwaysOn and Service Broker, alongside PostgreSQL and Aurora. Operate cloud-native services and workloads across AWS Lambda, DynamoDB, Redshift, OpenStack, and containers. Participate in an on-call rotation, troubleshoot incidents, and contribute to effective postmortems and preventive actions. Partner with engineering teams to improve deployment safety, system resilience, and operational processes. Proactively identify problems, automate repetitive work, and drive improvements without waiting for direction. Requirements 5+ years of hands-on SRE, DevOps, or WebOps experience supporting production SaaS systems. Strong practical experience with Terraform and Ansible for infrastructure management. AWS operations experience, including Lambda, DynamoDB, CloudWatch, and IAM. Strong relational database fundamentals (PostgreSQL, MySQL, or similar), including query tuning, replication, backups, recovery, and high availability. Experience operating and debugging containerized and distributed systems in production. Strong Linux systems administration skills. Ability to script and automate with Python, Bash, or PowerShell (PowerShell can be learned on the job). Experience building and maintaining CI/CD pipelines. Familiarity with Redis, Kibana, Elasticsearch, and centralized logging. Excellent incident response, troubleshooting, and communication skills. Demonstrated ownership, curiosity, self-directed learning, and a record of proactively improving systems. Availability to work US business hours and participate in an on-call rotation. Preferred Experience with Windows Server, IIS, and .NET applications. SQL Server experience, particularly AlwaysOn and Service Broker. Personal technology projects, home labs, open-source contributions, or tools built independently. Willingness to build deep familiarity with the Windows and SQL Server stack through independent learning and hands-on practice during the first six months. Benefits Salary: $5,000 to $6,000 USD per month PTO: Unlimited Setup: Fully Remote

Location: Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Almaty, Kazakhstan; Minsk, Belarus; Tashkent, Uzbekistan The Vault is a crypto-finance company building an MPC-based crypto custody and wallet platform designed for both institutional and retail users. Our infrastructure combines threshold signing, HSM and hardware-wallet integration with non-extractable key shares, and robust recovery and policy flows across a growing range of chains and assets. We are headquartered in Limassol, Cyprus. We are looking for a QA Engineer to help us ensure product quality through a combination of manual and automated testing. It is important to us that you use AI tools in your day-to-day work and take an active part in developing our QA processes together with the team. A key focus of this role is intensive automation of our current, largely semi-manual testing process. While manual testing remains part of the job, the clear expectation is that you will steadily replace repetitive manual checks with reliable automated coverage — this is an automation-heavy role, not a predominantly manual one. Responsibilities: • Perform manual functional, regression, integration, and exploratory testing. • Develop and maintain automated tests for UI and API. • Analyse requirements, surface ambiguities, and design test scenarios. • Create and maintain test cases, checklists, and test data. • Report defects clearly, verify fixes, and track issues through to resolution. • Decide which checks are worth automating and integrate automated tests into CI/CD. • Collaborate with developers, designers, and the product team. • Use AI tools to prepare test scenarios, write automated tests, analyse failures, and speed up routine tasks — while verifying the quality of their output. Requirements • Hands-on experience in manual and automated testing of web applications and APIs. • Solid grasp of testing fundamentals, test design techniques, and the software development lifecycle. • Experience with Playwright, Cypress, Selenium, or similar tools. • Programming skills sufficient to write and maintain automated tests. • Ability to produce clear test documentation and reproducible bug reports. • Experience with DevTools, API clients such as Postman, and issue-tracking systems. • Knowledge of Git and an understanding of CI/CD principles. • Confident, regular use of AI tools in QA processes — this is a mandatory requirement. • Ability to critically evaluate AI output and follow the rules for handling confidential data. • Attention to detail, independence, and the ability to make a well-reasoned case for the issues you find. Nice to Have • Experience testing back-office systems, internal admin panels, or enterprise applications with complex business processes. • Experience verifying role models, access permissions, approval workflows, and audit logs. • Knowledge of SQL and experience validating data correctness. • Skills in working with logs and monitoring tools. Benefits Competitive salary; Annual performance bonus; Fully remote position — work from anywhere in the world (team operates on CET); Paid time off, including vacation, sick leave, and public holidays.

Location: Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Batumi, Georgia; Almaty, Kazakhstan; Minsk, Belarus We're looking for a Go Developer to join our engineering division of a financial group. We build products for investment and banking: client personal account, backend services, integrations with brokerage and payment systems, KYC/AML processes. We work in a small cross-functional team (PO, DevOps, QA, designer, backend and frontend), where every engineer influences architecture and product. What You'll Do Develop and evolve backend services in Go (microservices, BFF for mobile and web clients) Design and implement integrations with external financial APIs (brokerage platforms, payment providers, market data providers, custodial services) Work with event-driven architecture on Kafka and the ClickHouse analytical data warehouse Participate in design: discuss architectural decisions, write tech designs, conduct code reviews Ensure service reliability and observability: metrics, logs, alerts, participation in incident review Work with financial data security: authentication, anti-fraud mechanisms, regulatory compliance Requirements 3+ years of commercial Go development experience Solid knowledge of the standard library, concurrency (goroutines, channels, context), working with gRPC/REST Experience with PostgreSQL (or another relational DB), understanding of transactions and data consistency Experience with message brokers (Kafka or similar) Understanding of distributed systems principles: idempotency, retries, failure handling Experience with Docker and Kubernetes at the developer level Habit of writing tests and working through code review Russian as the team's working language; English at a level sufficient to read documentation Nice to Have Experience in fintech: brokerage, payments, banking, KYC/AML Experience with ClickHouse Familiarity with AWS (EKS, RDS, DynamoDB), GitLab CI, ArgoCD Experience integrating with financial APIs (Bloomberg/Refinitiv, brokerage APIs, Fireblocks, etc.) Experience with observability systems (Prometheus, Grafana, VictoriaMetrics/VictoriaLogs) Benefits Competitive salary Annual performance bonus Fully remote work Product development, no outstaffing, influence on architecture and roadmap Small team, minimal bureaucracy, direct access to the business Working hours are from 9:00 to 18:00 (Cyprus Time) 24 working days of paid annual leave, in addition to statutory public and bank holidays in Cyprus 14 working days of paid sick leave per calendar year

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. About the Role We’re looking for a Staff Data Engineer to join our Data Engineering team, which builds and governs the data foundation that powers the business. You’ll set technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) and make sure data moves reliably, securely, and cost-effectively from source to decision-ready output. This is a senior individual-contributor role with broad scope and influence. You’ll own the architecture of our most critical data systems, define the standards the team builds against, and take on novel, ambiguous, high-stakes problems that don’t have a runbook. You’ll be accountable for outcomes, not just deliverables. Responsibilities Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs that DE2s, DE3s, and senior engineers can implement against Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration so new sources onboard quickly and consistently Lead diagnosis of the novel data integrity, performance, and reliability problems that escalate past senior engineers, driving systemic fixes and turning recurring failures into runbooks, automation, or better design Set and track reliability standards (SLOs, alerting, on-call health) and reduce operational toil Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance Design reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream-impact analysis, and failure-handling guarantees Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-vs-buy evaluation Lead spec and design review, anticipating downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and review high-risk PRs with rigor Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap Mentor engineers at every level, represent the team in cross-functional forums, pay down technical debt, and participate in hiring Experience and Skills 8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale A track record of designing and delivering large, cross-team data systems from ambiguous requirements through production operation Expert-level Python and SQL, with deep experience in ETL/ELT patterns for complex, high-volume transformations Deep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices Strong command of pipeline fundamentals: idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery Hands-on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend Strong testing, CI/CD, and code review practices, and the ability to set those standards for a team Proven ability to mentor engineers, influence without authority, and build alignment across teams Excellent written and verbal communication, including design docs, tradeoff analysis, and incident write-ups Nice to Have Experience with reverse ETL, real-time or streaming data (e.g., Kafka), and observability tooling (e.g., Datadog) Experience with FinOps and cost governance on cloud data platforms Background in gaming, betting, e-commerce, or another regulated industry, including audit, compliance, and responsible handling of PII Experience leading platform migrations or major re-architectures Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .