Production Line Management Engineer Jobs

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production depl

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention. The Fraud Strategist is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.) Responsibilities: Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products Drive post-retro follow-through to convert retro results into production usage Serve as a feedback loop between customers and product to drive our Protect roadmap Qualifications: 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech) Ex

Title: Staff Site Reliability Engineer, Cloud Cost & Engineering Efficiency Location: Noida / Bangalore (Hybrid) Summary of role Sumo Logic's microservices architecture, hosted on AWS, ingests petabytes of data daily across many geographic regions in support of our planet-scale observability and security products, serving hundreds of millions of queries a day against thousands of petabytes of data. At that scale, every inefficiency — in code, architecture, or infrastructure — compounds into real cost. This role sits within the Product SRE organization, working alongside your global SRE team on your product area's reliability roadmap — with a mandate that leads with code as much as operations. You'll find where Sumo's systems are spending more compute, storage, or engineering time than necessary, and fix it in the code and architecture, not just the infra config, while also carrying the fuller SRE mandate — reliability, security posture, and improving the day-to-day experience of the engineers within your product area. You'll be part of a team that blends SRE and backend software engineering skillsets, partnering closely with product engineering teams across your product area. This is an engineering role — the work is about shipping code, architecture, and system-level changes that improve unit economics, not managing cost dashboards, tagging, or reserved-instance/savings-plan purchasing. What you’ll do Continuously discover cost and efficiency opportunities through production profiling, telemetry, cost data, capacity trends, and system-level analysis — across algorithmic inefficiencies, resource-heavy code paths, and architectural decisions — and turn ambiguous problems into prioritized engineering initiatives. Apply performance and capacity engineering techniques to understand CPU, memory, storage, network, and I/O behavior under real production workloads, and optimize the resulting resource footprint. Write production-grade code to implement the optimizations

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Lead hardware circuit design, schematic development, and PCB layout review to ensure robust system performance and manufacturability Drive design verification, system bring-up, debugging, and root cause analysis, including RMA failure resolution Own BOM management and support production to ensure smooth transition from NPI to mass production Evaluate and integrate new technologies, components, and platforms to enhance product competitiveness Participate across the full product lifecycle from NPI, MP to EOL Collaborate with cross-functional teams including layout, component engineering, firmware, mechanical, power, thermal, QA, software, PM, ID, and compliance Qualifications Bachelor’s degree or above in Electrical Engineering or a related field 5+ years of hands-on experience in system-level hardware design Experience with networking products such as Ethernet gateway, switch, or NAS platforms Solid understanding of Ethernet technologies including 802.3 PoE (PSE/PD), 1G/10G PHY, and switching or routing fundamentals Experience in hardware validation, debugging, and failure analysis in production environments Familiarity with compliance requirements including ESD, surge protection, and safety standards Proficiency in hardware design tools such as OrCAD Capture, Cadence Allegro, or Mentor PADS Nice to Have Experienc

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership Demonstrated experience leading the architecture

Location Qualifications: This role is available for hybrid work (2 days on-site) from our office in Bucharest. About the position Our data platform powers customer-facing embedded analytics that thousands of users rely on daily. But we're going further: Showpad is building a Revenue Intelligence engine that transforms raw signals — CRM data, email threads, call transcripts, and content engagement — into prescriptive AI guidance. You will be a foundational architect of the unified data intelligence layer that makes this engine possible. You will participate in the design of our Medallion architecture, star schemas, and data governance frameworks — and critically, you will help define how structured and unstructured knowledge is modeled, connected, and retrieved. Your goal is to build a platform so robust and intuitive that other teams are empowered to build high-quality downstream models with speed and autonomy. What You’ll Do Shape how we model and connect revenue data — accounts, deals, contacts, content, and engagement signals — across both structured and semantic layers Design and evolve the ontology that defines how entities relate, enabling relationship-aware reasoning beyond what traditional joins can offer Build and maintain a Knowledge Graph that supports multi-hop inference and entity disambiguation across our Revenue Intelligence engine Own our retrieval architecture — choose the right approach for each use case, whether that's RAG, vector similarity, graph traversal, or structured search Define how we ground LLM outputs in proprietary data, ensuring AI features are accurate, explainable, and production-ready Contribute to our Medallion architecture, star schemas, and data catalog, keeping the foundation solid as we scale Ensure our embedded analytics meet the demands of multi-tenant isolation, sub-second latency, and strict SLAs for white-labeled products Be a go-to resource for cross-functional teams — setting standards, reviewing models, and helping oth

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As the Stripe user base and global footprint grow dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand the Stripe portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams. We strive to deliver frictionless experiences for all of our users, whether they are an independent business, startup, SMB, or enterprise, and our mission is to provide all Stripe users with the best support experience possible. What you'll do You'll recruit, manage, and develop a group of Marketing Operations Associates and team leads that are focused on delivering repeatable, measurable programs and campaigns targeted on spend optimization, producing highly qualified leads, improving the customer experience, and increasing retention. You'll lead the team supporting the Stripe Marketing Operations and are comfortable jumping in to perform production duties, especially in times of need. You'll cultivate the happiness of your team members while guiding them to excel, through feedback, coaching, mentoring, and advocacy within the organization. This means helping to set team goals and using metrics to efficiently measure and guide team performance in pursuit of those goals. You'll have a strong operations mindset, move quickly, and be passionate about d

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners toward agg

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve o

Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority, and program management. The common thread woven throughout our success story is our collaborative and driven team of people. Our teams are empowered and work together to find solutions. We have a passion culture – with teamwork, collaboration and a focus on growing individuals and giving them the tools & development opportunities to have a successful career. Join our Operations team as an Underwriting Operations Assistant, where you’ll help support Program Business and Commercial Lines by ensuring policy service work is completed accurately and on schedule. In this role, you’ll collaborate with agents, vendors, and internal partners to support policy transactions, required notices, reporting, and other underwriting service activities that keep the customer experience moving smoothly. The Underwriting Operations Assistant will work in the Red Bank, NJ location. Responsibilities: Provide operational support for Program Business and Commercial Lines, ensuring accurate, timely policy service and administrative processing Coordinate with agents, third-party vendors, production teams, and internal partners to resolve service needs, answer questions, and support workflow execution Process policy transactions, including ordering inspections, issuing/processing policies and endorsements, and ordering audits as required Run routine reports and create ad hoc/custom reports to support underwriting, operational tracking, and service metrics Manage premium finance notices by reviewing Notices of Financed Premium, communicating cancellation notices, and verifying payments and eligibility for reinstatement requests Prepare and issue required policy notices in accordance with state regulations and company guidelines (e.g., Cancellation, Non-Renewal, Conditional Renewal) Process monthly commission statements for direc

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As part of the Access team, you’ll work in a fast-paced, innovation-driven environment. We believe in challenging assumptions, breaking limitations, and creating elegant solutions to complex problems. We’re not just building products—we’re building what’s next. Ready to bring bold ideas to life? Join us and help redefine how the world connects. Responsibilities As an EE Engineer on the Access team, you will be responsible for the electrical design of consumer electronic products, such as door access readers/HUBs, wireless sensors, lighting controllers, and smart locks. We are looking for candidates who thrive in a fast-paced, start-up-like environment. In this role, you will own end-to-end EE hardware development, from system architecture and circuit design to board design, validation, and production readiness. Success in this role requires strong ownership, attention to detail, and a high standard of accountability. Own product architecture definition, electrical design, and system integration from concept to production. Lead and review PCB layout and electrical simulation activities. Plan and execute design validation, including functional verification, signal characterization, power analysis, and system coexistence testing. Troubleshoot and resolve hardware issues throughout development and prototype builds

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. At Okta, our motto is "Always On" and nowhere do we embrace that more than in Technical Operations. We strive to build the most reliable and performant systems on the planet through the skillful use of automation. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. You will work on: ● Mentoring, managing, and leading a team of SRE’s with a broad range of expertise and experience. ● Being an evangelist and advocate for security best practices, leading initiatives and projects to strengthen our security posture for our most critical infrastructure. ● Responding to production incidents, driving us to remediation as quickly as possible and determining how we can prevent them in the future. ● Triaging and troubleshooting complex production issues to ensure reliability and performance. ● Working closely with our stakeholders across the organization to ensure our new capabilities are aligned to our competing constraints of reliability, security, and delivery velocity. ● Partnering directly with recruiting and people ops to hire and retain the best talent in the world. ● Keep sharp eyes on our metrics, including vulnerability scanning and security posture,&nbsp

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 DRAM and Emerging Memory Quality and Reliability Assurance (DEMQRA) High Bandwidth Memory (HBM) Engineer at Micron Technology, Inc., your primary responsibility will be establishing quality criteria and monitoring quality indices based on FE and BE signals from NPI to high-volume manufacturing (HVM). You will define, lead and drive key action to bring Micron product quality to be the best in class and to prevent quality and reliability related issues from repeat occurrence. Meanwhile, you will involve in developing and supporting qualification stress flows and characterization for HBM and other high performance memory solutions. You will be driving the following: Collaborate with collaborators to define, deploy and monitor outgoing quality and reliability (OQR) metrics based on FE and BE production signals as well as reliability test results Partner with package development engineer and product engineer on latest products and technologies to define quality and reliability fail modes Proactively work to evaluate, characterize, and mitigate Quality and Reliability risks and fail modes for BE new products and HVM Collaborate with MFG Quality Assurance and Quality Engineer teams to improve QR fail mode list for HVM products. Engage with key teams to set and validate OQR specifications and address recognized and potential Quality and Reliability issues Dispo deviation material based on production signals and reliability test results with quick turnaround ti