Enterprise Account Executive Managed Solutions 3 Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for a detail-oriented and responsible AIoT Engineer with curiosity and innovative thinking in AI technologies. This role will focus on factory utility equipment maintenance scenarios, responsible for designing and implementing enterprise-level AI model management processes, from requirement analysis to deployment, building sustainable smart maintenance solutions that help facility engineers improve equipment reliability, reduce energy consumption, and prevent anomalies. Responsibilities Collaborate with cross-functional teams to transform data science outcomes into practical intelligent services. Design and train machine learning/deep learning models, ensuring performance and interpretability. Develop model service APIs to support system integration and real-time applications. Introduce and establish model management and deployment processes (MLOps) to ensure stable operation and regular updates. Stay updated with the latest AI technologies, write technical documentation, and promote internal knowledge sharing. Key Qualifications Master’s degree or above in Computer Science, Statistics, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or related fields. At least 2 years of experience in data science or machine learning. Skilled in Python and ML/DL frameworks (scikit-learn, PyTorch, or TensorFlow). Experience

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In the role of IT Data Center Infrastructure Coordinator at Micron Technology, you will manage routine operations, planning, and maintenance for enterprise-level data centers. You will define and coordinate data center architectural standards. You will also work with global teams to develop build requirements. You will coordinate with Facilities, Network, Compute, Storage, Security, and Infrastructure Engineering teams. This role involves maintaining physical facility systems to ensure they are stable, secure, and able to support business and technology demands. This role serves as the primary coordinator for activities related to data center facilities, including facilities support, structured cabling services, capacity management, infrastructure lifecycle planning, and operational readiness. You will help guide progress across multiple teams while ensuring alignment with operational procedures and service expectations. Responsibilities: 5+ years of experience supporting data center operations, infrastructure deployment, facilities coordination, and projects involving multi-functional infrastructure teams. Manage daily enterprise data center operations, including infrastructure installations, moves, adds, changes, decommissions, and lifecycle management activities. Monitor and optimize data center capacity, space, power, cooling, environmental requirements, and DCIM accuracy using AI/ML-driven insights. Lead structured cabling operations, including rack installations, pathway managem

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Technical Program Manager to join our team. This is a Hybrid (San Jose, 3 days a week) role or Remote role, reporting to the Cloud Operations Manager in the REIS (Reliability Engineering and Infrastructure Services) department. The Technical Program Management team within the Reliability Engineering and Infrastructure Services (REIS) organization is seeking an experienced, highly technical Project / Program Manager to lead complex, internal infrastructure and services initiatives, large-scale Data Center (DC) migrations, and building new cloud environments. Operating within our cross-functional program management organization, this position functions primarily as an internally-facing, hands-on Technical Project Manager (explicitly distinct from Product Management) responsible for orchestrating cross-functional technical projects across various teams for our cloud infrastructure. The

Block is building a new generation of AI-powered products with the potential to create entirely new ways for businesses to operate, engage with customers, and grow. We are looking for an experienced commercial leader to turn these emerging products into meaningful businesses. The Director of AI Commercialization will own the path from product to pilot to commercial validation, and turn this into a repeatable go-to-market motion across Block’s emerging AI portfolio. This role will focus on enterprise customers and strategic partners. This is a senior, highly entrepreneurial role, and requires someone who has done this before: taken technically complex, early-stage products into the market, secured sophisticated enterprise customers and partners, built and converted pilots, established pricing and commercial models, and ultimately created a sales and partnership motion that could scale. Initially, this leader will be highly hands-on. They will personally develop our most important enterprise customers and partners, structure our earliest commercial engagements, and work alongside Product and Engineering to shape what we build. As we establish product-market fit, they will determine how we scale the motion and build the organization required to support it. What You’ll Do Own AI commercialization Develop and own the commercialization strategy for Block’s emerging AI products, including target markets, enterprise customer segments, partner types, use cases, positioning, pricing, packaging, and routes to market. Translate technically sophisticated AI capabilities into clear, differentiated value propositions for enterprise customers and partners. Assess market opportunities and determine where Block has the strongest right to win. Establish clear commercial milestones and determine when products are ready to move from experimentation to broader distribution. Operate as the senior commercial counterpart to Product and Engineering leaders building Block’s AI portfolio. Brin

Block is building a new generation of AI-powered products with the potential to create entirely new ways for businesses to operate, engage with customers, and grow. We are looking for a self-starting, experienced business development lead to turn these emerging products into meaningful business. This is a highly entrepreneurial role, and requires someone who has done this before: taken technically complex, early-stage products into the market, secured sophisticated enterprise customers and partners, built and converted pilots, and informed pricing and commercial models for scale. This role requires an incredibly driven business development motion – developing our most important enterprise customers and partners, structuring our earliest commercial engagements, and working closely with Product and Engineering to shape what we build. What You’ll Do Win lighthouse enterprise customers and strategic partners Source, develop, and close relationships with sophisticated enterprise customers and strategic partners. Engage with senior executives across technology, product, operations, business development, and commercial organizations Identify where strategic partnerships can accelerate distribution, unlock new use cases, or create differentiated product capabilities. Sell products that may still be evolving, creating conviction around the vision while setting appropriate expectations about what exists today. Build a portfolio of lighthouse customers and partners that provides product validation, commercial proof points, references, distribution, and a foundation for broader adoption. Build pilots that become scaled commercial relationships Drive commercial pilots with enterprise customers and partners with clear objectives, success metrics, economics, timelines, and paths to production and expansion. Own the progression from initial conversation → pilot → production deployment or partnership launch → scaled commercial relationship. Work directly with customers, partne

Senior Software Engineer, Applied AI About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a skilled and fast-moving Applied AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role. You will be an expert at building and integrating production systems, not primarily a research scientist. Responsibilities Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability. Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves. Design long-running batch processing that is idempotent, resumable, and resilient to individual item failures. Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services. Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs. Define and implement evaluation for AI feature output quality, not only system correctness. Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robus

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re seeking a Senior Data Scientist to help us evaluate and improve the quality and performance of our AI systems. You’ll develop rigorous approaches to measuring system behavior, run experiments, investigate issues, and turn complex data into actionable decisions. This is a hands-on role at the intersection of data science, engineering, and applied AI. You’ll work directly with production data and systems and partner closely with Engineering, Product, and Analytics. Responsibilites AI Evaluation: Develop quantitative methods and tooling to evaluate AI system quality and performance. Experimentation: Design and run experiments to compare approaches, understand tradeoffs, and measure the impact of changes. Quality Monitoring: Build repeatable processes to identify regressions, anomalies, and changes in system performance. Data Analysis: Extract, transform, and analyze production data to support technical and product investigations. Technical Investigation: Diagnose complex issues involving data, models, and production systems, identifying root causes and potential solutions. Measurement & Instrumentation: Partner with Engineering to improve how system quality, reliability, and performance are measured. Internal Tooling: Build tools and dashboards that make system performance easier to understand and monitor. Communication: Clearly communicate findings,

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Developer Tooling Engineer Location: Remote (US) Grow your engineering career building the developer tools that power AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead AI Developer Tooling Engineer, you will serve as a technical linchpin for the team building the tools Appian's own engineers rely on — IDEs, CLIs, code-analysis, and CI/CD workflows — and the layer that brings AI capabilities into their daily development. Equipped with cutting-edge AI tooling yourself, you'll design and deliver developer experiences of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize developer-facing tools and services while maintaining a strong personal technical presence on the team. Build Developer Tooling: Design and build the IDE integrations, CLIs, code-analysis, and CI/CD tooling that Appian's engineers rely on every day — treating developer experience as a first-class product. Eng

The Role As a Senior Application Security Engineer, you will provide hands-on technical delivery for the migration of Web Application Firewall (WAF) capabilities to Cloudflare and/or Akamai. You will work closely with architecture, security, network, and application teams to execute migration waves, onboard applications, implement security policies, and support successful cutovers. You will play a key role in validating functionality, security, and performance, resolving technical issues, and supporting post-migration stabilization across complex enterprise environments. What You’ll Do Deliver end-to-end WAF migrations to Cloudflare and/or Akamai, including configuration, application onboarding, and deployment. Implement and tune WAF security policies, rules, and controls in line with application and security requirements. Execute DNS and traffic-routing changes and support integrations required for successful application migration. Perform testing, troubleshooting, and validation to confirm functionality, security, and performance throughout migration waves. Partner with architecture, security, network, and application teams to support cutover activities, resolve technical issues, and stabilize services following migration. What We’re Looking For 10+ years of relevant experience in network security, application security, infrastructure engineering, or related technical roles, with substantial hands-on WAF experience. Strong hands-on experience configuring, migrating, and supporting enterprise WAF technologies, ideally Cloudflare and/or Akamai. Practical knowledge of DNS, HTTP/HTTPS, TLS, traffic routing, application delivery, and web security concepts. Experience implementing and tuning WAF policies and security rules, troubleshooting application traffic, and resolving migration or production issues. Demonstrated experience working collaboratively with architecture, security, network, and application teams to deliver complex technical changes. Bonus Points For Expe

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability — set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological chan

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters — driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration . What You’ll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a fo

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and de

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports To: Director of Product Management, Platform Location: Remote US Compensation: $190,000 to $220,000 base plus bonus and equity About The Role: We are building a product management organization to own and drive our product strategy, and we are looking for an experienced product manager to own a new team focused entirely on Security tooling for the Huntress SOC. Our SOC is the cornerstone of the Huntress Security Platform, serving SMB and mid-market clients through MSP/MSSP and Reseller channels. It delivers premium, human+AI services at a scale most companies can't match — Rapid Response, Tactical Response, and Hypercare together accounted for roughly 150 engagements in a single recent month. Much of that delivery still runs on an internal SOC platform that does not match analysts' current needs - this includes spreadsheets, Slack threads, and per-engagement documen

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! About Couchbase Couchbase is the Operational Data Platform for AI. Our customers don't run AI in a lab — they run it in production, where agents remember, reason, and act on live operational data. With the Couchbase AI Data Plane, we give those agents one governed layer for memory, context, tool access, and MCP, deployed anywhere from public cloud to Kubernetes to the edge to air-gapped environments. Amadeus, Cisco, Comcast, FICO, PepsiCo, United, Verizon, and Wells Fargo trust us with their data. That means AI security isn't a side topic here. It's adjacent to the product, and it's the environment we operate in every day. The Role We're hiring a Sr. Security Operations Engineer to join Couchbase's global Information Security team as our second dedicated SecOps engineer. We think the interesting work in security

ezCater is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from employee meal programs to one-off meetings, all backed by 24/7 service and business-grade reliability. For restaurant partners, ezCater helps grow their business by bringing them new high-value customers and large orders. We’re looking for a Sr. Restaurant Business Partner to join our team! This person will play a pivotal role in building trusted and deeply strategic partnerships with ezCater’s enterprise restaurant partners, building shared growth goals for each partner that are grounded in exceptional operational performance, a streamlined offering, and optimized exposure. In this role, you will bring the ezCater opportunity to life for our partners, navigating and translating their needs, capabilities, and strategic priorities to deliver mutual success. What You'll Do: Strategic Partnership & Relationship Management Establish rapport and build trust with contacts at all levels within a portfolio of ezCater’s enterprise restaurant partners. Understand and translate each partner’s unique business to the ezCater opportunity, creating and implementing strategies for exceptional customer experiences and shared growth. Proactively assess, validate, and optimize partner performance on an ongoing basis - your relationships will be strong enough to support joint problem solving. Translate strategic priorities into clear, actionable direction for stakeholders from C-level decision makers to individual store managers, building alignment and accountability throughout the partner organization. Analytics, Insights & Operational Expertise Lead as a subject matter expert on partner-facing and internal operational metrics, as well as partner-specific nuances that may impact metrics (e.g., integrations, co