Optimizely jobs

Workforce Optimization Intern (External Workforce) Budapest, Pest, Hungary As an intern in the Workforce Optimization team for a 6-month period, your main focus will be learning about External Workforce Management at Roche globally and innovative concepts to manage the exter...

Junior SEO Specialist Hungary

Revenue Cycle Optimization Program Manager (Remote) Sacramento, California, United States of America Embrace the opportunity to become a Revenue Cycle Optimization Program Manager and drive impactful change across Stanford Health Care. Lead cross-functional teams, optimize revenue cycle processes, and leverage data analytics to enhance financial performance. If you excel in project management, Lean methodology, and stakeholder collaboration, this is your opportunity to make a difference.

Senior Energy Market Modeler - Optimization & Planning Reston, Virginia, United States of America Join our team as a Senior Energy Market Modeler - Optimization & Planning and lead advanced modeling and optimization initiatives for integrated energy systems. Shape the future of energy markets, collaborate with industry leaders, and drive impactful solutions for grid planning and the energy transition. Grow your career with cutting-edge technology and meaningful challenges.

Senior Finance Processes and Systems Optimization (PSO) Manager Atlanta PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. At PagerDuty, our mission is to revolutionize operations and build customer trust by anticipating the unexpected in an unpredictable world. The Finance PSO team is a critical enabler of this mission, ensuring our financial systems and processes are scalable, efficient, and robust enough to support global growth. How You Impact Our Vision As the Senior Manager, Finance PSO, you are a strategic leader and the primary architect of PagerDuty's finance technology roadmap. You don't just manage systems; you drive the vision for how Finance operates. You bridge the gap between long-term business strategy and technical execution, leading high-impact digital transformation initiatives that define our future state. You are a visionary player-coach, capable of

Social Content Optimization Specialist Duluth, GA posted:

Conversion Rate Optimization Specialist 379 Interpace Pkwy, Parsippany, 07054 posted: Posted 30+ Days Ago

Senior Software Engineer - Performance Foster City, CA Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizing throughput. The Software Core Performance team's mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing, debugging, and optimizing software will enable AI software to run as efficiently as possible. Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizing throughput. The Software Core Performance team's mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing, debugging, and optimizing software will enable AI software to run as efficiently as possible. In this role, you will: -

Performance & Capacity Engineering - Capacity Planning Optimization Bellevue, WA; Menlo Park, CA; Boston, MA; New York, NY Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world! Responsibilities: - Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network - Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers - Contribute to

Growth Engineer London, United Kingdom, New York Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You'll operate at the intersection of engineering, product, and marketing. You'll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You'll be responsible for: - Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. - Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). - Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. - Metric strategy: Work with us to define the key metrics we should be optimizing for. - Revenue & pipeline optimization: Help us optimize each step in our pipeline pre-

Senior SEO Specialist Hungary

Software Engineer, Kernel Development and Optimization Gdańsk, Pomeranian Voivodeship, Poland; Warszawa, Masovian Voivodeship, Poland Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation AI compute. The Kernel Development and Optimization team develops the performance-critical kernels that unlock the full capability of our hardware across ML and HPC workloads. This role is hybrid based out of Warsaw or Gdansk, Poland. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - A strong C++ systems engineer with experience writing performance-critical or low-level software. - Comfortable reasoning about concurrency, synchronization, latency hiding, and compute versus memory trade-offs. - Data-driven in your approach, using profiling and benchmarking results to guide optimization decisions. - Effective at debugging complex runtime or kernel-level issues in large codebases. - Structured thinker who can break down ambiguous performance problems into

Member of Technical Staff, Performance Optimization San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: We're looking for a Software Engineer focused on Performance Optimization to help push the boundaries of speed and efficiency across our AI infrastructure. In this role, you'll take ownership of optimizing performance at every layer of the stack-from low-level GPU kernels to large-scale distributed systems. A key focus will be maximizing the performance of our most demanding workloads, including large language models (LLMs), vision-language models (VLMs), and next-generation video models. You'll work closely with teams across research, infrastructure, and systems to identify performance bottlenecks, implement cutting-edge optimizations, and scale our AI systems to meet the demands of real-world production use cases. Your work will directly impact the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models in the world. Key Responsibilities: - Optimize system and GPU performance for high-throughput AI workloads across training and inference - Analyze and improve latency, throughput, memory

Senior Manager - Journey Optimization Platforms Columbus, Ohio, United States of America The Senior Manager, of Journey Optimization Platforms owns the enterprise product strategy and capabilities that deliver personalized customer facing experiences. As part of the Personalization & Enab...

Technical Program Manager - HR Service Delivery Optimization Plantation, Florida, United States of America Embrace the opportunity to become a Technical Program Manager - HR Service Delivery Optimization and drive impactful HR technology initiatives. Lead cross-functional projects, optimize Workday solutions, and collaborate with business partners to deliver seamless HR service delivery. Shape the future of HR systems with your expertise in program management, analytics, and stakeholder engagement.

Senior App Store Optimization Manager 6 Locations posted: Posted 30+ Days Ago

Manager III, Software Development, SCOT-Fulfillment Optimization, Outbound Optimization Vancouver, British Columbia, CAN Join the Fulfillment Optimization team and help drive optimization of Amazon's outbound volume for maximized flow efficiency! You will will be leading systems that calibrate continuous optimization of Amazon package flow, handle hundreds of millions of orders per week globally, capture and visualize big data from the order and shipment flow, and simulate what-if scenarios that help make billion dollar decisions. Today, Amazon fulfillment network faces new challenges associated with faster-than-ever speeds, and higher-than-ever volumes. Amazon fulfills most of orders using First Party network resources, which represent sunk cost investment that needs to be utilized to the full. This calls for a shift from myopic problem of per-package assignment to solving global optimality problems, sometimes resulting in making intelligent suboptimal choices locally for the sake of globally optimal network that follows a well-coordinated system built around a consistent set of goals. This space requires a high level of strategy, engagement, execution, and operations to evolve the fulfillment capabilities for the next decade and solve 21st century problems with 21st century technologies. This initiative is fundamental to Amazon's future success, and will provide great personal satisfaction and career development as we tackle some of the most intriguing transportation problems. The perfect candidate will thrive outside of defined role guidelines, practice bar-raising ownership, make sacrifices to achieve strategic success, elevate their subordinates, manage upwards, and be able to explain their space to a 5-year-old. Key job responsibilities A successful candidate

Quality Engineering Optimisation Manager UK - Pencoed posted: Posted Today

Machine Learning Engineer 5 - Decisioning & Optimization New York,New York,United States of America | Seattle,Washington,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Decisioning & Optimization engineering team owns the systems that determine which ad wins every impression, at what price, and how campaign budgets deliver across all inventory surfaces. Our work spans three platform areas: ML infrastructure for model serving : real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction, ranking, and scoring : multi-stage candidate selection, scoring, bid valuation, dynamic pricing, and podding Budget, pacing, and bidding : control systems for delivery optimization, budget planning, and bid computation We are scaling from a handful of production models to 10+ while maintaining sub-20ms P99

Senior Applied Scientist , EC2 Optimization Science Seattle, Washington, USA AWS Elastic Compute Cloud (EC2) Capacity Org is looking for an experienced applied optimization expert. This leader will join the Optimization Science Team to design, implement, and scale decision-making algorithms to manage EC2's virtual and physical capacity systems. EC2 Capacity owns EC2's top-level customer satisfaction metric capacity availability and the forecasting & decision-making systems which drive significant capex investments in server ordering for AWS data centers. Optimization Science is a core team involved in the end-to-end design and implementation of various decision-making systems, which manage the trade-off between capex and capacity availability while matching demand and supply at different planning horizons. The stakeholders and partners include engineering and product management orgs within EC2 as well as the AWS Infrastructure Supply Chain (AIS) organization. We are seeking an expert with a strong background in mathematical optimization with excellent modeling skills, and expertise in the numerical solution of continuous and discrete problems using exact and and heuristic methods applied to very large-scale problems. Experience with decision-making under uncertainty; e.g., robust or stochastic optimization is an advantage. Candidates at the OR/ML interface, and particularly those who have experience applying ML / Gen AI methods to enhance and improve optimization algorithms or optimization-based decision-making systems, are encouraged to apply. The candidate will apply their knowledge to match the end-customer demand for virtual machines to physical resource supply at horizons ranging from five minutes to 13 years. The variety of problems requires principled mathematical decomposition

Full-Stack Engineer 5 - Ads ML & Optimization Tooling New York,New York,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Our Team The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning org at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more. As our systems grow in complexity and scale, we are investing in tooling and observability to make the decisioning stack fully legible to engineers, data scientists, and ad operations. We are looking for a full-stack engineer with strong analytical instincts and an observability mindset to build the tools and dashboards that make the stack debuggable, measurable, and self-service. What You'll Do Design and build end-to-end internal tools and dashboards that give the team visibility into the ad decisioning stack, from model inference through different stages of auction Build an ad decision debugger: trace the full

Research Engineer - AI Performance & Kernel Optimization San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - AI Performance & Kernel Optimization , you will improve and optimize the performance of our large-scale language model training and inference stacks. You will work closely with our pretraining and inference teams to identify bottlenecks, design and implement highly optimized kernels, and push the limits of throughput, latency, and hardware utilization across a range of accelerator platforms. This role is suited for someone who enjoys deep systems work, cares about performance at every level of the stack, and is excited to translate low-level optimizations into meaningful gains for frontier-scale AI systems. You'll Work Across: - Kernel development and optimization for large-scale ML workloads, using any level of the stack from PTX/assembly to CUDA, HIP, Triton, or other GPU DSLs - Performance tuning for training and inference stacks across GPUs and other accelerators - Profiling and eliminating bottlenecks in memory movement, communication, scheduling, and compute utilization - Optimizing distributed training and inference systems for large MoE models, including large-scale model parallelism - Portability and optimization across non-NVIDIA hardware, with special interest in AMD hardware such as the MI300x and MI355x - Collaboration with research and infrastructure teams to turn systems improvements into real-world model training and inference gains What We're Looking For / Requirements: - Strong engineering aptitude for building reliable, high-performance systems - Excellent low-level performance intuition and the

Quality Engineering Manager Optimisation US - NY - Rochester posted: Posted 8 Days Ago

Pipeline Optimization Engineer Tulsa, OK posted: Posted 8 Days Ago