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3 724 вакансий по запросу «Transformation»Сначала свежие

Vercel159 дн назад

Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they sell into. As a Majors AE covering some of the key EMEA markets, you will own a curated book of named enterprise accounts and be the primary driver of net-new revenue and platform expansion. You will work alongside Solutions Engineers, Partner Manager, and cross-functional Vercel stakeholders to bring Vercel's platform into some of the most digitally ambitious and transformational companies in the region. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Build and execute multi-year account plans across a curated set of named Major Accounts, with hyperscalers, SIs, and agency partners embedded in the strategy from day one Drive net-new revenue through outbound ownership, rigorous discovery, executive alignment, and multi-threaded deal execution spanning engineering, product, procurement, legal, and the C-suite Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers Own complex commercial negotiations and establish Vercel as a long-term strategic infrastructure partner embedded in your accounts' roadmaps for web and AI transformation What you need 5–10+ years in enterprise SaaS with a demonstrated track record of closing six and seven-figure deals in major or strategic accounts Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI/ISV relationship to open doors and accelerate deals, not just name-drop them Fluent in English and local language requirements based on the territory you’re focused on Comfortable discussing architecture with a CTO and total cost of ownership with a CFO A disciplined account planner who thinks in years, builds executive relationships from scratch, and sequences complex accounts to maximise long-term revenue Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline Able to hold credible, technically grounded conversations with senior engineering and product leadership — without leaning on a solutions engineer as a crutch A value seller who leads with business outcomes and customer pain, not feature lists Bonus if you Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML Come with existing relationships at AWS, GCP, Azure, or major SI/ISV players active in the UK and Northern Europe markets Have experience navigating ELAs, global framework agreements, or enterprise procurement in regulated industries Have sold into media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the UK market Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The London based pay range for this role is 200,000 - 270,000 GBP OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Hybrid - London

Müller`s Solutions159 дн назад

ServiceNow Strategy Advisor

Location: Dubai, United Arab Emirates Müller's Solutions is looking for an experienced ServiceNow Strategy Advisor to provide expert guidance on leveraging the ServiceNow platform to achieve business transformation and operational excellence. In this strategic role, you will collaborate with executive leadership and key stakeholders to develop and align ServiceNow initiatives with organizational goals and industry best practices. You will analyze current processes, identify opportunities for automation and innovation, and craft actionable roadmaps for ServiceNow adoption and optimization. Your insights will help shape the future of digital workflows, enhancing service delivery across IT and enterprise functions. Key Responsibilities: Provide strategic advice on ServiceNow platform utilization, ensuring alignment with best practices, scalability, and service optimization. Serve as a subject matter expert on ServiceNow capabilities including ITSM, ITOM/CMDB, HRSD/enterprise services, and CSM. Collaborate with the Service Delivery Manager to support delivery decisions, prioritize risks, and align business demands with platform capabilities. Engage stakeholders to translate business requirements into platform solutions, challenge feasibility when needed, and clarify deliverable functionalities. Support governance and design consistency through design reviews, maintaining module consistency, and promoting reuse of existing capabilities. Contribute to the platform roadmap by identifying enhancements, prioritizing initiatives, and recommending service delivery and user experience improvements. Act as an escalation point for complex functional or platform decisions, cross-module design issues, and delivery challenges requiring platform-level input. Requirements Requirements: 8–12+ years of experience in ServiceNow or enterprise service platform environments Strong understanding of ServiceNow platform capabilities, including ITSM, ITOM/CMDB, HRSD/enterprise services, and CSM Ability to communicate effectively with technical and business stakeholders, provide practical platform guidance, and validate requirements credibly Experience in complex, multi-module ServiceNow environments and structured delivery or governance models Knowledge of ServiceNow design patterns, best practices, workflow-driven service delivery, and platform scalability and maintainability Ability to support decision-making without taking delivery ownership and enhance delivery leadership Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Dubai, United Arab Emirates

Huzzle159 дн назад

Business Intelligence Analyst

Location: South Africa; Pakistan; Philippines; Poland; Romania; North Macedonia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Location: Remote About the Company Our client is a rapidly expanding European business operating in a highly data-centric environment. They are focused on leveraging analytics, technology, and operational efficiency to improve decision-making across commercial, financial, and operational functions. As part of their ongoing digital transformation, they are investing heavily in modern business intelligence infrastructure, advanced reporting capabilities, and enterprise-wide analytics solutions. Job Summary We are looking for a highly analytical and detail-oriented Business Intelligence Analyst to support strategic decision-making through advanced reporting, data modelling, and actionable insights. This role is ideal for someone who thrives in a fast-paced environment and enjoys transforming complex data into meaningful business recommendations. You will play a key role in developing scalable reporting systems, maintaining enterprise data environments, and uncovering trends that drive operational and commercial performance. The ideal candidate brings strong expertise in Power BI, Microsoft Fabric, SQL, Dynamics 365 CRM, and ERP reporting, combined with excellent communication and stakeholder management skills. Key Responsibilities Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reporting solutions across sales, finance, operations, inventory, and customer performance metrics Own the full reporting lifecycle, including requirements gathering, data modelling, deployment, testing, and ongoing optimization Ensure reporting accuracy, consistency, scalability, and alignment with business KPIs Manage report scheduling, refresh processes, access permissions, and version control Continuously improve reporting capabilities to support evolving business needs Data Engineering & Analytics Infrastructure Build and maintain scalable data solutions using Microsoft Fabric, including Lakehouses, Dataflows, Data Pipelines, and Warehouses Create optimized semantic models and datasets that enable self-service analytics across teams Support data governance, quality assurance, and data consistency initiatives Collaborate with technical and operational teams to improve integrations and reporting architecture CRM & ERP Data Analysis Analyze Microsoft Dynamics 365 CRM data to provide insights into sales pipelines, customer engagement, and account performance Develop reporting and insights from ERP systems covering purchasing, pricing, inventory, and operational performance Help unify CRM and ERP reporting into a centralized and accurate business intelligence environment Strategic Insights & Forecasting Identify business trends, anomalies, risks, and opportunities through proactive data analysis Deliver recurring insight reports and presentations to leadership teams and stakeholders Support forecasting, scenario modelling, and strategic planning initiatives Provide actionable recommendations that support business growth and operational improvements Stakeholder Collaboration Partner closely with leadership, sales, finance, and operations teams across multiple European markets Translate complex datasets into clear, executive-level insights and recommendations Promote data literacy through documentation, reporting guidance, and stakeholder training Requirements 3–5+ years of experience in Business Intelligence, Data Analytics, or a similar analytical role Advanced experience with Power BI, including data modelling and Power BI Service administration Hands-on experience with Microsoft Fabric, including Lakehouses, Dataflows, Warehouses, and Pipelines Strong SQL skills and experience working with relational databases Experience working with Microsoft Dynamics 365 CRM environments Ability to translate complex analysis into commercially focused business insights Excellent communication, stakeholder management, and presentation skills Experience supporting multi-country or European business operations is highly preferred Knowledge of Microsoft Purview or data governance frameworks Experience with Azure Data Services such as Azure SQL, Synapse, or Azure Data Factory Exposure to predictive analytics, forecasting models, or advanced analytics techniques Background in manufacturing, wholesale, logistics, or distribution industries Familiarity with Power Automate and workflow automation tools Benefits 💰 Competitive salary package based on experience and technical expertise 🌍 Remote-first working environment with flexibility 📊 Work with cutting-edge Microsoft data technologies including Fabric and Power BI 🚀 Join a growing organization investing heavily in analytics transformation 📈 High visibility role with direct impact on strategic business decisions 🤝 Collaborate with senior leaders across European markets 🎯 Opportunity to shape reporting strategy and become a trusted business advisor 📚 Ongoing professional development and learning opportunities

ElevenLabs160 дн назад

Infrastructure Security Engineer

Location: United Kingdom; Ireland; Dublin; Croatia; Hungary; Bulgaria; Sofia; Belgium; Denmark; Portugal; Poland; Sweden; Italy; Madrid; London; Czechia; Amsterdam Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a Security Engineer to join the ElevenLabs Security team. In this role, you’ll work at the intersection of security, software and infrastructure engineering, building the platforms, controls and tooling that let teams ship and operate cloud infrastructure securely at high velocity. You will: - Design and build security tools and guardrails that integrate directly into our infrastructure and products - Partner with Engineering and Infrastructure teams to review application architectures, develop threat models and build in secure by default patterns throughout the software development lifecycle - Identify, prioritise and remediate security vulnerabilities, working directly with engineers and contributing to fixes where required, across the entire stack. - Ship new security features which directly improve the security posture of our products in production - Design and implement supply chain security controls across build and deployment pipelines, including artefact signing, provenance, dynamic admission controls and SBOM generation REQUIREMENTS - Strong engineering background, with experience building and shipping production systems - Proven track record of building and scaling security programs - Fluency in at least one programming language (Python, Typescript, Golang etc) with the ability to read, write and maintain production quality code - Hands on experience in cloud-native environments (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform) - Strong understanding of cloud security fundamentals: IAM, networking, PKI, linux internals - Experience securing CI/CD pipelines to prevent supply chain attacks Bonus: - Experience securing AI or Machine Learning systems, including training pipelines - Background in developer experience or platform engineering, especially building developer tooling - Contributions to open source security projects, published research or talks at security conferences - Experience working in regulated environments (SOC 2, ISO27001, PCI, HIPAA or similar) LOCATION This role is remote and can be executed globally. However, to facilitate working with the Security Team, we prefer candidates based in GMT to GMT+3 or UK. If you prefer, you can work from our offices in London or Warsaw We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Blockstream160 дн назад

VP, Enterprise Products & Solutions EMEA

Location: Zurich; Geneva Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. As part of our continued growth strategy, we are expanding our presence within the traditional financial services industry and are seeking a visionary VP, Enterprise Products & Solutions EMEA to lead strategic client engagement, enterprise growth, enterprise sales, and solution adoption across the region. We are seeking a highly commercial, client-oriented, and consultative enterprise leader with a proven track record of delivering significant sales growth, building strategic institutional relationships, and successfully managing complex consultative enterprise sales engagements across the financial services ecosystem. This is not a transactional product sales role. It is a strategic enterprise leadership position focused on helping financial institutions navigate complex transformation journeys involving digital assets, Bitcoin infrastructure, and next-generation financial technologies. You will operate at the intersection of enterprise sales, strategic advisory, solution architecture, and long-term client partnership management, engaging with senior stakeholders across investment banks, private banks, hedge funds, family offices, financial market infrastructure providers, and institutional investors. What You’ll Be Doing (Responsibilities) Strategic Client Leadership & Market Development - Define and execute the EMEA enterprise growth and enterprise sales strategy together with the Chief Product Officer and global enterprise leadership team. - Drive enterprise revenue growth and strategic account expansion across institutional financial services markets. - Act as a trusted advisor to financial institutions exploring digital assets, Bitcoin infrastructure, and blockchain-enabled financial services. - Build and expand long-term strategic relationships with executive stakeholders, including C-suite leaders, business owners, innovation teams, and technology leadership. - Lead highly consultative enterprise sales engagements focused on understanding client operating models, business challenges, regulatory considerations, commercial objectives, and infrastructure needs. - Drive complex enterprise sales cycles from strategic discovery through solution design, stakeholder alignment, commercial structuring, negotiation, and delivery oversight. - Proven ability to originate, develop, negotiate, and close high-value enterprise opportunities with measurable commercial impact and recurring long-term client value. - Position Blockstream as a credible long-term infrastructure partner within institutional financial markets. Enterprise Solution Engagement & Delivery Oversight - Partner closely with clients to shape customized enterprise solutions leveraging Bitcoin infrastructure, Layer-2 technologies, digital asset platforms, and interoperability capabilities. - Lead strategic solution discussions across business, operational, compliance, and technical domains. - Oversee enterprise implementation programs and ensure alignment between client expectations, commercial objectives, and delivery realities. - Support the growth and adoption of Liquid and Lightning ecosystems by helping institutions understand practical use cases, operational value, and integration opportunities. - Navigate highly regulated enterprise environments with professionalism, structure, and strong stakeholder management. - Balance client expectations, commercial constraints, and delivery execution while maintaining high-quality enterprise engagement throughout all phases of the client lifecycle. Cross-Functional Leadership - Build and lead a high-performing enterprise business development and client engagement organization across EMEA. - Collaborate closely with product, engineering, delivery, legal, compliance, and marketing teams to ensure successful enterprise outcomes. - Serve as the strategic bridge between enterprise clients and internal teams, ensuring client feedback informs product evolution, market positioning, and delivery priorities. - Foster a culture of accountability, collaboration, customer obsession, commercial excellence, and execution focus. - Work collaboratively across multiple teams and geographies, demonstrating strong ownership and leadership in fast-moving environments. Thought Leadership & Industry Presence - Represent Blockstream at industry conferences, executive forums, and client events across the financial services ecosystem. - Contribute to strategic market positioning and thought leadership around institutional Bitcoin adoption and digital asset infrastructure. - Stay closely aligned with market trends, competitive dynamics, regulatory developments, and enterprise transformation priorities across EMEA financial markets. What We Look For In You (Required Qualifications) - Bachelor’s degree in Finance, Economics, Technology, Business, or related field; MBA or equivalent experience preferred. - 10+ years of experience in enterprise sales, consultative selling, strategic consulting, client engagement, financial technology, or complex solution delivery within financial services. - Proven track record of achieving and exceeding enterprise sales targets and delivering measurable commercial growth within complex B2B and institutional environments. - Demonstrated success managing complex consultative enterprise sales cycles involving multiple stakeholders, long decision-making processes, executive engagement, commercial negotiations, and enterprise transformation initiatives. - Strong experience selling complex technology, infrastructure, SaaS, platform, or transformation solutions into enterprise and institutional clients. - Demonstrated success building and scaling strategic enterprise client relationships and converting strategic advisory engagements into long-term commercial partnerships. - Experience engaging executive-level stakeholders across investment banks, private banks, hedge funds, asset managers, financial infrastructure providers, or enterprise technology organizations. - Strong understanding of enterprise technology environments, financial infrastructure, APIs, integration ecosystems, and operational transformation challenges. - Deep interest in digital assets, Bitcoin infrastructure, blockchain technologies, and institutional adoption trends. - Strong commercial acumen with the ability to balance client expectations, technical complexity, commercial realities, and delivery execution. - Exceptional communication, relationship-building, negotiation, and stakeholder management capabilities. - Comfortable operating in fast-moving, highly entrepreneurial, and globally distributed environments. - Self-starter with strong ownership mentality and ability to collaborate effectively across functions, cultures, and geographies. Languages - Swiss German and/or German required - English required - French and/or Italian strongly preferred Location Switzerland, with primary focus on Zurich and Zug Nice To Haves (Preferred Qualifications) - Experience working with digital asset platforms, custody infrastructure, blockchain technologies, or institutional crypto solutions. - Exposure to core banking platforms such as avaloq or similar enterprise financial systems. - Background in enterprise SaaS, managed services, fintech infrastructure, or long-term client operations. - Experience scaling enterprise organizations within financial technology or infrastructure businesses. - Existing network within Swiss and broader EMEA financial services markets. What We Offer - Competitive compensation package with performance-based incentives - Equity participation in a high-growth global technology company - Flexible work arrangements, including hybrid and remote options - Opportunity to shape the future of institutional Bitcoin infrastructure alongside a world-class global team - High-impact role with visibility across enterprise strategy, product evolution, and market expansion

HIKINEX160 дн назад

Principal Mechanical Engineer - Platform Integration

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Principal Mechanical Engineer – Platform Integration An advanced aerospace and defense technology company is seeking a Principal Mechanical Engineer to lead the integration of ruggedized sensor and electronics systems onto large mobile platforms for government and defense applications. This role is focused on translating advanced sensing and electronics technologies into durable, field-deployable systems capable of surviving demanding operational environments across vehicle, trailer, and maritime platforms. The ideal candidate brings deep experience with mechanical integration, ruggedized hardware design, environmental survivability, and large-scale platform constraints. This is a highly hands-on engineering role requiring practical judgment, systems thinking, and the ability to identify integration risks before they become field failures. Responsibilities Lead the mechanical integration of multi-sensor and electronics systems onto mobile ground, trailer-mounted, and maritime platforms Define and manage mechanical interfaces between electronics packages, structural systems, mounting hardware, and vehicle platforms Develop ruggedization strategies for vibration, thermal exposure, dust, sand, corrosion, and harsh environmental conditions Design sensor mounts, enclosures, brackets, and support structures optimized for durability, serviceability, and field deployment Support environmental qualification efforts including shock, vibration, thermal, and environmental testing Collaborate closely with electrical, manufacturing, systems, and program teams throughout development and integration activities Create and manage interface control documentation (ICDs), installation requirements, alignment strategies, and tolerancing schemes Evaluate installation constraints and field-maintenance considerations across complex deployment environments Drive root-cause analysis and resolution of integration or survivability issues discovered during testing or deployment Provide technical mentorship and integration guidance across multidisciplinary engineering teams Qualifications Bachelor’s degree in Mechanical Engineering or related discipline 10+ years of experience in aerospace, defense, or ruggedized platform integration environments Demonstrated experience integrating electronics, sensors, or mission systems onto large mobile platforms such as vehicles, trailers, ships, or other deployable systems Strong understanding of ruggedized mechanical design principles including vibration isolation, thermal management, sealing, shock loading, and environmental survivability Experience designing to environmental qualification standards such as MIL-STD-810 Strong CAD proficiency with experience managing large assemblies and mechanical interfaces Experience developing installation approaches, tolerancing strategies, interface definitions, and integration documentation Practical hands-on engineering mindset with strong troubleshooting and systems integration capability Strong communication skills and ability to work cross-functionally in fast-paced development environments U.S. citizenship preferred; ability to obtain a security clearance is strongly preferred Preferred Experience Multi-spectral sensor system integration including EO/IR, radar, RF, or ISR-related hardware Vehicle, maritime, naval, or trailer-mounted defense platform integration experience Thermal management design for electronics operating in extreme ambient environments Experience designing vibration isolation systems and shock mitigation approaches Familiarity with FEA and structural analysis tools such as ANSYS, NASTRAN, or ABAQUS Experience supporting environmental testing, qualification, and field deployment activities Knowledge of military connectors, ruggedized cabling, and harsh-environment electrical integration Background working with government or defense platform programs Experience bridging electronics packaging requirements with large structural integration constraints What Makes This Opportunity Unique This role sits at the intersection of advanced sensing technology, ruggedized mechanical design, and large-platform system integration. The company is looking for someone who has real-world experience solving difficult integration problems — not just designing isolated hardware components. The right candidate will bring practical engineering judgment, field-tested lessons learned, and the ability to anticipate problems before they become expensive redesigns. You’ll play a key role in helping transform advanced sensing systems into deployable, mission-ready platforms operating in demanding environments. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $180,000 – $230,000 / year

Sierra160 дн назад

Enterprise Sales Engineer

Location: Munich Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Tether Operations Limited160 дн назад

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Tether Operations Limited160 дн назад

AI Research Engineer (Model Compression & Quantization)

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Tether Operations Limited160 дн назад

AI Research Engineer (Model Compression & Quantization)

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

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