Optimizely jobs

Senior Manager, Analytics Business Partnering Bangalore posted: Posted 18 Days Ago

FA Capacity Planning, re:Cycle Reverse Logistics Nashville, Tennessee, USA Amazon is scaling a fast-growing business aimed at transforming the reverse logistics industry for electronic hardware. We're making our electronics processing, reuse, and recycling company available to more customers - and we're looking for an experienced Supply Planner to optimize our production operations and drive efficiency across our processing facilities. re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment with a specialization in the handling of valuable electronic hardware used in data centers. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies and are looking for a talented, analytical, and operationally-focused Supply Planner to develop and execute production planning strategies that maximize throughput, minimize bottlenecks, and ensure optimal parts availability. You'll work closely with Operations, Product Management, and cross-functional teams to forecast demand, balance capacity constraints, and implement data-driven solutions that enhance our processing capabilities. We're looking for someone excited about building efficient systems from the ground up, with experience in production planning, inventory optimization, and operational excellence. Key job responsibilities • Developing and maintaining production plans that optimize processing capacity across multiple facilities and product lines • Partnering with operations teams to identify efficiency opportunities and implement process improvements that increase throughput • Analyzing demand patterns and inventory levels to ensure optimal parts availability while minimizing excess stock • Creating forecasting models that balance inbound material flows with downstream processing

Senior Machine Learning Engineer, Firefly Foundry 3 Locations posted: Posted 9 Days Ago

Senior Product Manager, Retail Operations and Initiatives Seattle, Washington, USA Drive profitability improvement and regionalization initiatives that optimize customer experience while delivering measurable business results across Amazon's US retail business. Own product strategy for programs that reduce costs, enable regional selection, and improve overall retail health. Our team takes an end to end view of selection programs to uncover opportunities to optimize profitability and CX. Through regionalization, we are reducing damages and ship costs, enabling net new regional selection, and working with various partner teams to minimize any adverse impacts of regionalization. Through profitability improvement programs, we are optimizing selection health, reducing unhealthy inventory costs, and improving overall profitability across the retail business. This role will own multiple business expansions for both regionalization and profitability optimization initiatives, gaining experience working with operations, technical teams, supply chain, and retail stakeholders. As a Senior PM within Amazon, you have the opportunity to invent new products and features on behalf of customers. You will get to work cross-functionally on driving ideas from conception to execution, developing marketing plans to drive awareness and adoption, segmenting customers and developing business models, defining and analyzing success metrics, and managing strategic projects. Successful candidates will possess excellent analytical skills, be proficient in process optimization, and have knowledge of the retail business metrics and priorities. Strong communication, writing, attention to detail, and ownership is needed. Key job responsibilities Key job responsibilities - Be a key contributor for our regionalization and profitability improvement workstreams, partnering with cross-functional teams to

Product Manager, YouTube Ads Marketplace Optimization and ML Mountain View, CA, USA At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. YouTube Ads powers the YouTube ecosystem by keeping it free and engaging for users, rewarding creators, and connecting businesses to consumers worldwide. The YouTube Ads Marketplace Optimization team focuses on growing long-term revenue by solving complex problems in automated bidding, machine learning, AI, and personalization. In this role, you will work on exciting machine learning and bidding problems that power advertisements across all YouTube surfaces, including In-Stream, Shorts, Feeds, on mobile, TV, and desktop devices. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up

Growth Marketing Manager, AbeBooks Marketing Victoria, British Columbia, CAN AbeBooks is seeking a Growth Marketing Manager to drive SEO channel growth, content creation, and affiliate channel management. This role owns performance optimization for conversational search and emerging discovery channels, develops content strategies, and scales our affiliate partnerships connected to growing search platforms. The role also supports onsite marketing in collaboration with the Product team. This is a high-ownership position at the intersection of strategic marketing, data analysis, and emerging channel innovation. The successful candidate will build systems and frameworks that scale across channel performance and content optimization. About You: You are a strategic marketing professional who excels at translating insights into action. You bring strong analytical capabilities, experience with both qualitative and quantitative research, and a track record of driving measurable business impact through SEO, content, and performance marketing channels. You are passionate about emerging channels and understand how conversational search is reshaping discovery. You thrive in cross-functional environments, take full ownership of your channels, and can communicate strategic recommendations clearly to leadership. Key job responsibilities 1. SEO Channel Management - Partner with SEO Product Manager to drive channel growth and optimize performance for AbeBooks' SEO channel. Own performance monitoring, reporting, and strategic recommendations with specific focus on staying ahead of emerging strategies (AEO/GEO) and conversational search visibility, citation monitoring, identifying new channel discovery opportunities. 2. Content Creation & Optimization - Develop, manage, and optimize content that supports SEO performance and organic discovery. Translate buyer insights and market research into

ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed

Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago

Principal Performance Engineer Lead United States As an ML Performance Engineer, you will optimize inference performance across the Akamai Inference Cloud. Your focus will be at the intersection of speed and accuracy-applying techniques like quantization, speculative decoding, and hardware-aware scheduling to maximize throughput and minimize latency. You will collaborate closely with hardware performance engineers to deliver end-to-end optimization.

SEO Manager 3 Locations posted: Posted 30+ Days Ago

Senior Site Reliability Engineer Poland The Senior Engineer creates solutions to improve automation and efficiency for systems and teams. Responsibilities include optimizing workflows, infrastructure, and applications. Expertise in Linux administration, configuration management, and performance tuning is essential. Collaborate on deployment, monitoring, and resolving incidents. Focus on reliability, scalability, and efficiency through automation and resource optimization. Promote continuous improvement and operational excellence across all systems.

Sr. Product Manager, MMPO Bellevue, Washington, USA It's no secret that Amazon relies on its technology to deliver millions of packages every day to its customers - on time, with low cost. The Middle Mile Supply and Routing Optimization team builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. That said, this remains a fast growing business and our technical journey has only started. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. As a member of this collaborative team, you will have an opportunity to make an impact in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future. As a Sr. Product Manager, you will operate at the crossroads of multiple complex Amazon systems, getting global visibility of how Amazon moves inventory across out

Group Product Manager, Growth London, UK At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a Group Product Manager, you will be responsible for driving adoption of Fitbit's subscription products. You will deliver features and capabilities that drive full-funnel growth, helping users onboard the app and discover its core value. In this role, you will help users discover, learn about, and experience Fitbit subscriptions, ensuring they stay engaged throughout their journey. You will leverage your understanding of growth funnels and key leverage points to influence product definition and design. The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science,

SoC Power Analysis and Optimization Engineer Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si. Optimize Power Team

Solution Consultant 1 Frankfurt am main, Germany posted: Posted 2 Days Ago

Research Scientist II, FinAuto-GREF Bengaluru, Karnataka, IND Are you passionate about solving large-scale optimization and machine learning problems that directly improve how Amazon operates? The FinAuto team is hiring a Research Scientist to support GREF, Amazon's Global Real Estate and Facilities organization. GREF is responsible for managing Amazon's workplace, facilities, transportation, and related operational services across a large and complex global footprint. This role offers a unique opportunity to work on science problems where Operations Research, forecasting, machine learning, and decision optimization come together. Example problem areas include optimizing employee cab routes, forecasting transportation demand, improving facility capacity planning, optimizing vendor and resource allocation, reducing operational cost, improving service reliability, and building scalable decision systems for real-world planning problems. Key job responsibilities As a Research Scientist, you will translate ambiguous business problems into structured mathematical and scientific solutions. You will work with business, product, engineering, and operations teams to define the problem, identify the right modeling approach, build scalable algorithms, and help productionize solutions that influence operational decisions. The ideal candidate will have strong depth in Operations Research, applied mathematics, optimization, statistics, and machine learning, along with the ability to operate independently in a fast-moving environment. This role is well suited for a scientist who wants to work on practical, high-impact problems with large-scale data, complex constraints, and measurable business outcomes. Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems

Senior Financial Analyst, Worldwide Retail Growth & Development Finance Arlington, Virginia, USA The Worldwide Retail Growth & Development team within Grocery Stores Finance seeks a strategic Senior Financial Analyst who will be the operational backbone of our Real Estate Optimization pillar, transforming complex asset management challenges into streamlined financial processes that maximize portfolio efficiency and drive organizational excellence across our retail footprint. Key job responsibilities • Lead remodel strategy and investment decision support to optimize existing retail store performance • Own comprehensive occupancy planning and reporting across all banners, including rent approvals • Drive asset management excellence through lease disposition strategies and efficient exit planning for non-operating locations • Execute impairment testing and portfolio optimization initiatives including asset retirement obligations and fair market value analysis • Provide strategic finance support for Instore Retail Partnerships, optimizing third-party operations within WWGS locations • Maintain rigorous compliance with GRC requirements and cross-functional financial controls A day in the life Your day will be a dynamic blend of strategic portfolio optimization, asset management execution, and cross-functional partnership. You'll navigate complex real estate decisions, ensure compliance across multiple workstreams, and transform operational challenges into financial opportunities that enhance our retail ecosystem. About the team The Worldwide Retail Growth & Development team within Worldwide Grocery Stores Finance is a collaborative powerhouse dedicated to driving financial innovation and operational excellence. We work at the intersection of real estate, finance, and operations, transforming portfolio complexity into strategic advantage across our global retail network. Basic Qualifications: - 3+ years

Senior Applied Scientist - Machine Learning Systems Engineer- Photoshop 2 Locations posted: Posted 30+ Days Ago

Manager Incoming Quality Netherlands - Breda posted: Posted 9 Days Ago

Applied Scientist, Amazon Transportation London, England, GBR Amazon's Middle Mile Science group is looking for an Applied Scientist to build machine learning and optimization models for large-scale transportation planning systems. This includes the development of dynamic pricing and network planning models to improve operations and services for our external freight customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial intelligence to coordinate thousands of operators and drivers. This includes shipper-facing and carrier-facing marketplace algorithms as well as network planning and optimization tools. Amazon often finds that existing techniques do not match our unique business needs, driving the innovation of new approaches and algorithms. As an Applied Scientist focusing on external freight within middle mile transportation, you will work closely with business leaders, engineers, and fellow scientists to design and build scalable products operating across multiple transportation modes. You will create experiments and prototypes of new machine learning and optimization applications, present research findings to senior leadership, and implement your models within production systems. You will write production-quality code designed for scalability and maintainability, and make decisions that affect how we build and integrate algorithms across our product portfolio. About the team Our Middle Mile Marketplace Science team builds the algorithms for Amazon's rapidly

Senior Technical Program Manager, Devices Software and Services Bellevue, Washington, USA Do you want to drive large-scale programs that deliver measurable infrastructure optimization and peak readiness across hundreds of services powering hundreds of millions of Amazon devices? Do you want to use AI to scale your impact and automate program execution along the way? If so, we want to talk to you. The Devices Software and Services (DS2) team is seeking a Senior Technical Program Manager to lead large-scale, highly visible programs that span every Devices product line and demand cross-org influence at the executive level. These programs are Memory Optimization and Peak Readiness. Memory Optimization reduces memory consumption across Devices fleets through code optimization, JVM tuning, instance-family migration, and rightsizing, using AI to identify opportunities at scale and accelerate the analysis-to-action cycle. Peak Readiness is the cross-Devices Q4 Peak program covering service scaling, resiliency testing, operational readiness campaigns, and coordinated game days across hundreds of services, using AI to scale beyond manual coordination and automate game day execution. DS2 owns the platform layer beneath every Kindle, Echo, Fire TV, and Fire Tablet sold worldwide. We own device identity, registration, OTA updates, telemetry, cloud-to-device messaging, and lifecycle management for hundreds of millions of devices. As the horizontal organization across the Devices portfolio, DS2 also leads flagship programs spanning multiple product lines, including infrastructure optimization and efficiency, next-gen authentication implementations, and software regulatory compliance. If you'd like to join us, here are some skills that are key to success in this

Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago

Software Development Manager, LLM Inference Model Enablement, Neuron SDK Cupertino, California, USA DESCRIPTION AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the

Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago