Optimizely jobs
4,532 matches, filter-driven and evidence-linked.
Filters
0 active
Remote, hybrid, onsite
State
Shift type
Weekend work
Country
Cover letter
Assessment
Salary type
Equity type
Family-building benefits
Benefit evidence
-
Senior Search Engine Optimisation Manager
Adobe Inc. - SingaporeIndexed from Workday Benefit evidence checked May 7, 2026posted 171 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Other - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Search Engine Optimisation Manager Singapore posted: Posted 15 Days Ago
-
Solution Architect - Finance Analytics
Rockwell Automation - Katowice, PolandIndexed from Workday Benefit evidence checked May 7, 2026posted 156 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSolution Architect - Finance Analytics Katowice, Poland posted: Posted Today
-
Senior AI Engineer
The Procter & Gamble Company - WARSAW DOWNTOWN OFFICEIndexed from Workday Benefit evidence checked May 7, 2026posted 179 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior AI Engineer WARSAW DOWNTOWN OFFICE posted: Posted 23 Days Ago
-
Senior HPCLM Optimization Engineer
Analog Devices - 2 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 165 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior HPCLM Optimization Engineer 2 Locations posted: Posted 9 Days Ago
-
Senior Software Engineer Modelzoo
NXP Semiconductors - HyderabadIndexed from Workday Benefit evidence checked May 7, 2026posted 156 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Software Engineer Modelzoo Hyderabad posted: Posted Today
-
Specialist Data Analytics
Amgen - India - HyderabadIndexed from Workday Benefit evidence checked Jun 7, 2026posted 157 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSpecialist Data Analytics India - Hyderabad posted: Posted Yesterday
-
Senior ML Engineer - Firefly
Adobe Inc. - BucharestIndexed from Workday Benefit evidence checked May 7, 2026posted 187 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior ML Engineer - Firefly Bucharest posted: Posted 30+ Days Ago
-
Machine Learning Services Engineer - Firefly
Adobe Inc. - BucharestIndexed from Workday Benefit evidence checked May 7, 2026posted 187 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedMachine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago
-
Software Development Manager, Elastic Block Store (EBS), Capacity Optimization
Amazon - Boston, Massachusetts, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 208 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $185K-$250K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSoftware Development Manager, Elastic Block Store (EBS), Capacity Optimization Boston, Massachusetts, USA Join Amazon Web Services (AWS) and lead the optimization of one of the world's largest cloud fleets. We are seeking a software development manager for the Elastic Block Store (EBS) Capacity Engineering team to lead a group of engineers focused on optimizing the fleet of servers powering some of the world's largest websites and cloud services. EBS is the solid state drive for the Internet, storing exabytes of data for millions of customers. You will lead the development and operations of software services that predict future demand and drive orders for additional servers in each AWS data center in the world. We continue to optimize capacity to improve the availability of EBS for all customers and push boundaries of cost efficiencies at massive scale, and we want you to own that charter! In this role, you will lead, coach, and grow a team of engineers responsible for creating and optimizing global and regional capacity. The team you will lead is in the process of inventing a new capacity forecasting and planning platform for EBS. This involves building software and mathematical optimization models to balance service, infrastructure, financial, and business constraints. EBS is rapidly expanding to meet the growing data usage by AWS customers, accelerated by the exponential growth of AI workloads. You will lead your team to introduce new machine learning models, algorithms, and agents to automate how we plan and purchase capacity to meet this demand growth.
-
Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology
Amazon - London, England, GBRIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026posted 166 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk Salary not disclosed Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedData Scientist, network planning optimization world wide, Supply Chain Optimization Technology London, England, GBR Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? We are looking for a Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint. You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems. To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams. Key job responsibilities - Design and develop mathematical models to optimize inventory placement and product flows. - Design and develop statistical and optimization models for planning Supply Chain under uncertainty. - Manage several, high impact projects
-
Optimization Solutions Architect, OPTICS
Amazon - Seattle, Washington, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 191 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $131K-$178K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedOptimization Solutions Architect, OPTICS Seattle, Washington, USA The AWS Industries OPTICS (Optimization Intelligence for Cloud Systems) team has a direct impact on AWS's largest customers' FinOps and Cloud Financial Management strategies. The OPTICS team works to proactively optimize our customer's deployments, identify cost savings, educate stakeholders on cloud best practices & FinOps, and create cost and usage transparency. The OPTICS team is looking for an Optimization Solutions Architect to be hands-on and passionate about working directly with the world's largest and most complex multinational organizations as they transform their solutions & process to be optimized for the cloud. This person will be the subject matter expert on cost optimization and efficiency, leading and supporting customer conversations around cost savings, cost visibility and education on optimization of AWS. This will include generating bespoke recommendations on how customers can optimize their usage of AWS, re-engineering their internal financial processes, and working with partners to ensure ongoing success at scale. It is crucial for this person to be able to drive towards simple, scalable solutions to difficult problems, have excellent project-management skills, be able to communicate complex topics to a variety of audiences, visualize and tell a story with data, and is comfortable while interfacing with the C-suite decision makers. Working with the world's largest organizations, Optimization Solution Architects are not just expected to help their customers build more cost efficient solutions but that their solutions to scale it across all AWS customers. This could cover building solutions for example automation so these
-
Senior Manager, Predictive Analytics
Regeneron Pharmaceuticals - TARRYTOWNIndexed from Workday Benefit evidence checked May 7, 2026posted 160 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Manager, Predictive Analytics TARRYTOWN posted: Posted 4 Days Ago
-
Senior Applied Scientist , EC2 Optimization Science
Amazon - Seattle, Washington, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 215 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $167K-$226K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSenior 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
-
Sr. Director, Kitting Sales Operations & Optimization
Accendra Health INC - 3 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 187 days agoWhy we showed this
Title: semantic matchSource-backed benefits+1
Unspecified Sales From the posting source - Director Plus From the posting source Resolvable source Verified parental leave: 3 wksource Resolvable source Verified non-birth-parent leave: 3 wksource Salary not disclosedSr. Director, Kitting Sales Operations & Optimization 3 Locations
-
Manager III, Software Development, SCOT-Fulfillment Optimization, Outbound Optimization
Amazon - Vancouver, British Columbia, CANIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 159 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk CAD 171K-286K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedManager 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
-
Manager Global Partnerships & Trial Optimization
Regeneron Pharmaceuticals - Location not specifiedIndexed from Workday Benefit evidence checked May 7, 2026posted 160 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Marketing From the posting source - Senior From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedManager Global Partnerships & Trial Optimization Location not specified posted: Posted 4 Days Ago
-
Director, Search Engine Optimization & Generative Engine Optimization (SEO/GEO)
CyberArk - Office - USA - CA - HeadquartersIndexed from Workday Benefit evidence checked Jun 7, 2026posted 187 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Marketing From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Inferred from posting 401(k) reportedDirector, Search Engine Optimization & Generative Engine Optimization (SEO/GEO) Office - USA - CA - Headquarters posted: Posted 30+ Days Ago
-
Applied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science
Amazon - Seattle, Washington, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 187 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $143K-$193K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedApplied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science Seattle, Washington, USA Are you interested in working with top talents in Optimization, Operations Research and Supply Chain to help Amazon to efficiently match our Devices with worldwide customers? We have challenging problems and need your innovative solutions to make tremendous financial impacts! The Amazon Demand Science Optimization organization is looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Simulation, and Gen AI to support science efforts to integrate across inventory management functionalities. Our team is responsible for science models (both deterministic and stochastic) that power world-wide inventory allocation, promotion optimization for Amazon Devices business that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices. We formulate and solve challenging large-scale financially-based optimization problems which ingest demand forecasts and produce optimal price promotion strategies, procurement, production, distribution, and inventory management plans. In addition, we also work closely with the demand forecasting, material procurement, production planning, finance, and logistics teams to co-optimize the inventory management and supply chain for Amazon Devices given operational constraints. Key job responsibilities The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, and an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business. Responsibilities include: - Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and
-
Machine Learning Engineer - 5
Adobe Inc. - BangaloreIndexed from Workday Benefit evidence checked May 7, 2026posted 187 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedMachine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago
-
Senior Manager, Media Measurement and Optimization
Pfizer - 3 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 157 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Marketing From the posting source - Senior From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Manager, Media Measurement and Optimization 3 Locations posted: Posted Yesterday
-
Senior Manager, Partner Optimization
Fiserv - Omaha, NebraskaIndexed from Workday Benefit evidence checked May 7, 2026posted 184 days agoWhy we showed this
Title: semantic matchSource-backed benefitsUnspecified Sales From the posting source - Senior From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 2 wksource Salary not disclosed EquitySenior Manager, Partner Optimization Omaha, Nebraska posted: Posted 28 Days Ago
-
Finance Optimization Analyst
Google - Sunnyvale, CA, USAIndexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in postingposted 163 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $141K-$206K From the posting source Equity Inferred from posting 401(k) reportedFinance Optimization Analyst Sunnyvale, CA, USA As a Finance Optimization Analyst for Data and Insights, you will be at the forefront of shaping the future of financial data at Google. This is a high-impact role where you will leverage Cloud technology to architect a single source of truth (SSOT) data sets and implement sophisticated role-based access across the product lifecycle. By joining the Cloud Finance Data Stewardship team, you won't just manage data you will become a definitive subject matter expert, driving the insights that empower executive decision-making and fuel Google's financial innovation. We are looking for a visionary professional who is deeply passionate about innovation and growth at the intersection of finance and technology. You are a natural problem-solver who enjoys deconstructing complex issues and architecting elegant, scalable solutions that transform how we operate. As a key driver of efficiency, you take immense pride in empowering the Finance organization through process optimization and insights. You are highly accountable and lead with ownership, ensuring that high-impact projects are executed with excellence and precision. In this role, you will find ample opportunities to expand your technical prowess, particularly in advancing your skills with AI and other technologies as you shape our data landscape. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive cross-functional initiatives by partnering with stakeholders to architect and execute
-
Senior Manager, Energy Forecasting & Advanced Analytics
GE Vernova - 3 LocationsIndexed from Workday Benefit evidence checked May 7, 2026posted 157 days agoWhy we showed this
Title: semantic matchRole: semantic match+1
Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 10 wksource Resolvable source Verified non-birth-parent leave: 10 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Manager, Energy Forecasting & Advanced Analytics 3 Locations posted: Posted Yesterday
- posted 167 days ago
Why we showed this
Title: semantic matchRole: semantic match+1
Unspecified Marketing From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedSenior SEO Manager Sao Paulo posted: Posted 11 Days Ago
Take this list with you
Download the 4,532 matching jobs in any format - read offline, archive, or hand to an AI assistant with your resume to find the best fits.
Or email it to me instead
The AI-ready prompt is a pre-written question you can paste into Claude, ChatGPT, Gemini, or Perplexity along with your resume. We never see your resume; this happens in your AI client of choice.
AI agent reading directly? Same data lives at /api/jobs.json?q=Optimizely&verified_benefits_only=true.
See /llms.txt and /api/openapi.json for the full schema.