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Lead Architectural Design And Approvals Nmial Jobs

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C
Clickup
📍 Australia• Full-time• Remote
16 days ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 About the Role ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention. Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue. Key Responsibilities Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, an

REMOTEmachine learningartificial intelligenceai
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G
19 days ago

About the job Lead the team that proves our AI silicon performs reliably before it reaches customers. You will build and lead Graphcore's characterisation capability for next generation silicon and system platforms. Your work will help ensure our products perform consistently across real world conditions. You will define bring up and characterisation strategies, lead technical execution, and shape the lab infrastructure needed for success. You'll work across silicon, hardware, manufacturing, architecture and product teams to solve complex engineering challenges. This is a hands on leadership role with the opportunity to influence both product design and how Graphcore validates future AI systems. The team and culture This is a newly formed team within Manufacturing Operations. You'll have the opportunity to establish how the team works while building strong partnerships across engineering and operations. Day to day, you'll work closely with architecture, silicon, hardware, production test and product teams. Decisions are driven by data, technical evidence and close collaboration across disciplines. We value ownership and clear communication. You'll be trusted to lead technical direction, remove blockers and help teams make progress with confidence. What we're looking for Essential Proven track record of delivering complex technical projects as an individual contributor, manager, or project manager, with the ability to work independently and drive execution. Strong expertise in silicon digital device design, bring-up, characterisation, and silicon process technologies, with an understanding of their impact on transistor- and system-level performance. In-depth knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and scripting/coding to develop automated test and analysis workflows, with familiarity of ATE systems and t

F
1mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma’s largest enterprise customers. You will help organizations successfully adopt, integrate, and scale Figma across complex technical environments. This role sits at the intersection of customer success, enterprise architecture, and developer workflows. You will work closely with customer enablement, sales, and product teams to guide customers through sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility. Your goal is to reduce technical risk, accelerate adoption, and ensure customers are set up for long-term success. This is a full-time position based in our Tokyo hub; professional fluency in both English and Japanese is required for success. What you’ll do at Figma: Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals Lead structured technical engagements that assess customers’ current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation Guide customers through enterprise API usage and system integrations, helping them extend Figma’s capabilities within their broader technology ecosystems Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives and other emerging platform capabilities (Code to Canvas) Deliver technical workshop

aigorust
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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma’s largest enterprise customers across APAC and GCR. You will help organizations successfully adopt, integrate, and scale Figma across complex technical environments. This role sits at the intersection of customer success, enterprise architecture, and developer workflows. You will work closely with customer enablement, sales, and product teams to guide customers through sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility. Your goal is to reduce technical risk, accelerate adoption, and ensure customers are set up for long-term success. This is a full-time position based in our Singapore hub. What you’ll do at Figma: Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals Lead structured technical engagements that assess customers’ current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation Guide customers through enterprise API usage and system integrations, helping them extend Figma’s capabilities within their broader technology ecosystems Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives and other emerging platform capabilities (Code to Canvas) Deliver technical workshops and training sessions to help customers confident

aigorust
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As a Global Public Sector Implementation Delivery Manager (IDM), you are the single-threaded technical owner of delivery for one of Altana’s most important public sector accounts or organizations. You blend enterprise architecture, hands-on deployment, and product design and development with the relationship skills to be the trusted technical voice in the room for the mission owners you serve. You lead a small, account-aligned implementation pod and are accountable for turning a closed-won account into mission outcomes: architecting the deployment, delivering it in secured and regulated environments, keeping it healthy, and finding the next place Altana can create value. You do this hip-to-hip with commercial — partnering with the Technical Account Managers (TAMs) and Program Managers who run the account — using delivery credibility to enable organic growth and inside sales without carrying the commercial number yourself. This role reports to a GPS Implementation sub-vertical lead (Trade, Resilience, or Policy) within the Implementation function, and is deployed against a named strategic account. For example, an IDM aligned to U.S. Customs and Border Protection (CBP) would report to the Trade sub-vertical lead. Your Responsibilities Own delivery outcomes for a named strategic account or account groups. Serve as the single-threaded technical owner for implementation and platform delivery to a key public sector account or organization, from post-award through sustainment. Deliver on-time against contractual commitments and hold the technical quality bar. Set and steward the account architecture. Translate mission outcomes into a coherent enterprise/solution architecture across SaaS and regulated PaaS environments. Own the deployment, integration, and data-m

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OpenAI
📍 San Francisco• Full-time• Remote
14 days ago

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. This role is based in San Francisco, CA. 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: Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through

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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. As a Staff Engineer in Micron’s HBM Product Engineering Component Validation team, you will be an individual contributor responsible for the validation of advanced High Bandwidth Memory (HBM) products. You will use proven knowledge in dynamic random-access memory and high-bandwidth memory architecture to compose validation coverage, implement and analyze validation runs, lead product debug and failure analysis toward a zero-escape validation goal across test modes and product achievements. You will also adopt AI-enabled ways of working, using enterprise AI tools to accelerate your engineering tasks and improve efficiency, work within Micron’s global validation organization and collaborate with groups at different locations. Responsibilities: Translate DRAM/HBM develop intent and architecture into effective verification scope and test cases. Contribute to validation of new and high-risk product features, working with Design Validation, and Systems Engineering. Review design specifications, schematics, and datasheets, provide design feedback and represent the Product Engineering perspective in Design and Verification reviews. Read, analyze, and debug circuit blueprints to detect design-related failure mechanisms, and recommend approaches for verification and fault diagnosis. Perform root-cause analysis and examination of electrical failures (debug) of validation findings, distinguishing developed marginality from process and test-related issues. Apply automation and modern tooling (including

pythongitlinux
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CH
19 days ago

Opportunity Overview: We are seeking a Lead Software Engineer to join our Integrations team. In this role, you will be designing, developing, and scaling highly available healthcare integration systems supporting prior authorization workflows across providers, payers, and delegated entities. You'll direct a fast-paced, autonomous,agile team of software engineers in the design, development, and operational support of a growing enterprise integration platform. This is an opportunity to drive technical excellence at the intersection of healthcare interoperability and modern distributed systems. What you’ll do: Technical Leadership: Provide technical leadership across architecture, system design, platform scalability, reliability, and operational excellence. Platform Engineering: Design and build scalable, resilient, and high-performing systems that support critical business workflows and enterprise integrations. Integration Solutions: Lead the development and maintenance of secure integrations with internal and external platforms, partners, and third-party systems. Cloud & Automation: Drive cloud infrastructure, deployment automation, and software delivery practices that enable reliable and efficient releases. Distributed Systems: Design and support event-driven and distributed architectures that enable scalable and fault-tolerant processing. Operational Excellence: Establish monitoring, observability, and incident response practices to ensure system reliability, performance, and availability. Quality Engineering: Champion automated testing, quality assurance, and engineering best practices throughout the software development lifecycle. Production Support: Lead the resolution of complex production issues and drive continuous improvement in platform stability and operational efficiency. Cross-Functional Collaboration: Partner with product, operations, data, security, and business stakeholders to deliver solutions aligned with organizational goals. Agile Delive

javaawsdocker
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Pinterest
📍 San Francisco• Full-time• Remote• From $177.2K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're looking for a Staff Software Engineer to lead the technical direction of the backend systems powering Pinterest's AI-driven product experiences — Pinterest Assistant, visual editing and content creation tools and future LLM-based products. You'll design and ship backend systems while architecting the broader platform strategy that enables these experiences to scale across surfaces and teams. This is a hands-on leadership role where you'll move between deep technical execution, system-level architecture and cross-team technical leadership. What you'll do: Define the backend and platform architecture for AI-driven product experiences — visual-chat, AI image generation and editing, and agentic or LLM-based products — partnering with Engineering, Product, ML and UX leaders to shape the technical vision and roadmap. Architect end-to-end systems

REMOTEpythonawsrest
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D
Datadog
📍 New York• Full-time• From $192K/yr
1mo ago

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

D
Datadog
📍 New York• Full-time• From $154K/yr
1mo ago

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly and successfully. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a Senior Services Architect focused on Security and Cloud SIEM, you will help customers design, implement, and operationalize Datadog’s security capabilities across cloud, infrastructure, application, and log data sources. You will lead structured, outcome-driven professional services engagements delivered through a day-based professional services delivery model, partnering directly with customers through co-development working sessions, architecture workshops, implementation planning, and operational handoff. This role is ideal for someone who combines customer-facing consulting experience with strong cybersecurity knowledge, hands-on Cloud SIEM implementation skills, and an understanding of security control frameworks such as NIST 800-53, the NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and guide execution of Datadog implementations, focusing on Security and Cloud SIEM deployment, including discovery, requirements gathering, technical architecture, deployment planning, and launch. Partner with customers to map security requirements, controls, and monitoring objectives to Datadog capabilities, including frameworks such as NIST 800-53, NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. Advise customers on security data strategy, including log source prioritization, parsing, normalizat

kubernetesaigo
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SA
16 days ago

About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalable platform that streamlines satellite production and deployment, significantly reducing launch costs. Hummingbird's compact architecture maximizes launch capacity, making it the most efficient and agile spacecraft in the industry. At the core of our technology is the patented Multifunctional Structures for Attitude Control (MSAC) system. Unlike traditional wheel-based pointing control systems, MSAC utilizes actuators embedded in the hinges of deployable solar panels to provide 3-axis attitude control and active jitter cancellation. This design eliminates the need for spinning wheels, reducing mass and potential points of failure, while enhancing pointing precision. Role: The Electrical Engineering team at Samara is seeking an Electrical Engineer to lead the design, layout, and testing of printed circuit boards for spacecraft electronics at our headquarters in San Francisco. This is a startup environment where you will own designs end-to-end, from early concept through production. A strong problem-solving background, hands-on testing skills, and experience with high-density PCB design and electronics integration. You'll work closely with experienced electrical, mechanical, and embedded software engineers to ensure the Hummingbird satellite's electronics are robust, manufacturable, and ready for the space environment. Responsibilities: Own PCB Design from circuit design, schematic capture, and PCB layout through bring up testing. Conduct trade studies that balance electrical performance, signal integrity, thermal management, manufacturability, cost, and schedule. Collaborate with embedded software engineers during board bring-up, debugging, and hardware-software integration. Support spacecraft and board-level integration, including hands-on assi

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Tubi - Canada
📍 Toronto• Full-time• From C$1.6M/yr
19 days ago

About the Role: The team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to user acquisition and growth, including but not limited to user registration, onboarding, SEO, and account management. As part of this team, you will work closely with Product and Design to develop cutting-edge, experiment-driven features that enhance the user experience. In addition to front-end development, you’ll be responsible for building the underlying technical architecture to ensure performance and scalability, while proactively exploring engineering-driven features and experiments that can drive user growth. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Work with product management and other stakeholders (Backend, Product, and UI/UX) to iterate on new growth-related features, including registration, onboarding, and SEO. Lead the technical architecture and implementation of scalable and resilient applications that run on multiple platforms, such as web, mobile web, and smart TV devices. Lead and drive innovation in building experiment-driven features that push the boundaries of user experience in streaming. Consistently ship features and improvements across Web and OTT apps with minimal guidance, collaborating with cross-functional teams to deliver high-impact updates. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure. Take ownership of the codebase and proactively identify opportunities for refactoring and development process improvement. Mentor and collaborate with fellow engineers, sharing technical expertise and contributi

javascripttypescriptjava
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J
Jumio
📍 India• Full-time• Remote
19 days ago

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

REMOTEpythonawsrest
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O
OpenAI
📍 San Francisco• Full-time
21 days ago

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. This role is based in San Francisco, CA. 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: Lead mechanical design for AI supercomputer product in the data center application Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and a

awsrestai
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