software dev engineer ii, secure customer content storage and analytics, aws applied ai solution – core services

sr software engineer, aws applied ai solution – core services

ai and data mid-market sales engineer senior manager

applied scientist, aws applied ai solutions

applied scientist, customer experience and business trends

account manager - strategic communications (social impact/global health)

software dev engineer ii, secure customer content storage and analytics, aws applied ai solution – core services Jobs in Seattle

sr software engineer, aws applied ai solution – core services Jobs in Seattle

ai and data mid-market sales engineer senior manager Jobs in Seattle

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

data engineer data and science

Aircall

<p></p><div><div><p><div><div><div><b>Seattle Office /</b><b> San Francisco Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div><div></div><div><br>
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div><div></div><div><br>
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div><div>
At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div><div></div><div><b><br>
How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><b><br>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div><div></div><div><br>
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div></div><div><div><ul><ul><li>
Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.</li><li>
Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.</li><li>
Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.</li><li>
Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.</li><li>
Participate in code reviews to ensure code quality and share knowledge.</li><li>
Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.</li><li>
Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.</li><li>
Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
A little more about you:</b></h3><ul><ul><li>
Bachelor's degree or higher in Computer Science, Engineering, or a related field.</li><li>
3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.</li><li>
Proficient in SQL and Python, with the ability to translate complexity into efficient code.</li><li>
Experience with data workflow development and management tools (dbt, Airflow).</li><li>
Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.</li><li>
Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li><li>
Prior experience designing <b>AI-ready data semantic layer</b> is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.</li><li>
Experience with data tooling, data governance, business intelligence and data privacy is a plus.</li></ul></ul></div></div><div><div>
$154,000 - $186,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div>
Why join us?</div><div></div><div><br>
   Key moment to join Aircall in terms of growth and opportunities</div><ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul><div>
   Fast-learning environment, entrepreneurial and strong team spirit</div><div>
   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div><div>
   Competitive salary package &amp; equity</div><div>
   Medical, dental, and vision insurance is 100% covered</div><div>
   401k plan with company matching!</div><div>
✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div><ul><li>️ Wellness, internet, and childcare reimbursements</li></ul><div>
   Generous parental leave policy</div><div></div><div><br>
DE&amp;I Statement:</div><div>
At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div><div></div><div><br>
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div><div></div><div><br>
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div><div></div><div><br>
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Engineer, Data and Science

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon's Weblab Analysis team enables experimental guidance for launching, conducting and making product decisions using Weblab to help Amazon build better products for customers. A/B testing is in Amazon's DNA and we're at the core of how Amazon innovates on behalf of customers. We help Amazonians make decisions about their experiments and reason about the business tradeoffs of their decisions. We research and develop decision quality improvements impacting billions of dollars in decision making every year. Improve analysis and understandability for our 60K internal users. We are seeking a skilled Software Engineer to help us build the future of experimentation systems at Amazon.<br>
<br>
Key job responsibilities<br>
You have an entrepreneurial spirit and want to make a big impact on Amazon and its customers. You are excited about combining science with the latest technology and finding the right tool for the job. You enjoy building high-performance systems but also have a bias for delivering simple solutions to complex problems. You challenge yourself and others to come up with better solutions. You develop strong working relationships and thrive in a collaborative team environment across engineering, science and product.<br>
<br>
A day in the life<br>
We're going to help Amazon make better decisions by empowering analyses for A/B-testing in Weblab systems to help teams make data driven decisions for their experiments. We will help Amazonians make the right decisions for our customers combining science, experimentation and data driven-decision making. Our work will inform some of the biggest decisions at Amazon.<br>
<br>
About the team<br>
We have decades of combined experience on the team in many areas of science and engineering so it's a great environment in which to learn and grow. A/B testing is one of the hottest areas of research and development in the world today and this is a chance to learn how it works in the company known for pioneering its use.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Weblab Analysis, Weblab Analysis

YO IT Consulting

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Leading AI lab to engage independent
 <strong>
  Data Science Experts
 </strong>
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large datasets to extract insights that inform model design and refinement.
  </li>
  <li>
   Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
  </li>
  <li>
   Conduct performance assessments and data quality reviews on AI model outputs.
  </li>
  <li>
   Build reusable tools for data processing, visualization, and reporting.
  </li>
  <li>
   Partner with research teams to test hypotheses and scale experimental workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data science, machine learning, or a related analytical field.
  </li>
  <li>
   Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
  </li>
  <li>
   Familiarity with large-scale data environments and version-controlled workflows.
  </li>
  <li>
   Strong command of statistical analysis, experimental design, and model validation.
  </li>
  <li>
   Clear written communication and comfort collaborating across technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About The Opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expected commitment: 10+ hours/week.
  </li>
  <li>
   Exposure to high-impact AI research and applied experimentation.
   <br/>
   <br/>
  </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 <br/>
 <br/>
 <strong>
  Contract and Payment Terms
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be engaged as an independent contractor.
  </li>
  <li>
   This is a fully remote role that can be completed on your own schedule.
  </li>
  <li>
   Projects can be extended, shortened, or concluded early depending on needs and performance.
  </li>
 </ul>
</div>


Data Scientist - Remote

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.<br>
<br>
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.<br>
<br>
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions.<br>
<br>
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.<br>
<br>
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.<br>
<br>
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.<br>
<br>
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.<br>
<br>
You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.<br>
<br>
Key job responsibilities<br>
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul><br>
About the team<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Why AWS*<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
*Work/Life Balance*<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
*Inclusive Team Culture*<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Herndon - 108,300.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div><p></p>

Data Scientist, AWS Infrastructure Services Science

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products.</p><p></p><p><br>
This role is not eligible for OPT or sponsorship now or in the future.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director, Product Data Science.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention</p></li><li><p>
Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact</p></li><li><p>
Leverage data to develop actionable analytical insights and present findings to senior management</p></li><li><p>
Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models</p></li><li><p>
Design and build dashboards to provide actionable insights and key business metrics</p></li><li><p>
Design, build and test reliable data pipelines to extract and transform data</p></li><li><p>
Identify, design, and implement process improvements by automating manual processes for greater efficiency</p></li><li><p>
Collaborate with stakeholders across organizations to support their data needs</p></li><li><p>
Implement data quality checks to maintain the high quality of data</p></li><li><p>
Optimize and maintain the existing pipelines</p></li><li><p>
Document the work in confluence and Alation</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information Systems or other related engineering field</p></li><li><p>
Graduating in December 2025, May/June 2026</p></li><li><p>
English language proficiency: native or fluent</p></li><li><p>
Experience with SQL for data analysis and data validation.</p></li><li><p>
Experience with data visualization tools such as Tableau, Power BI, or similar</p></li><li><p>
Experience with statistics and rigorous analytical techniques</p></li><li><p>
Experience in extracting, transforming and loading data using any data platform</p></li><li><p>
Experience solving real business problems using data and analytics</p></li><li><p>
Experience in working with cross-functional teams</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Ability to present data in a visual format and explain the insights clearly and concisely</p></li><li><p>
Ability to delivery on multiple competing priorities</p></li><li><p>
Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies</p></li><li><p>
Experience designing and refining machine learning models</p></li><li><p>
Experience with Python or R</p></li><li><p>
Familiarity with data engineering processes.</p></li><li><p>
Highly motivated, organized, self-starter who thrives in a fast-paced environment</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area):
<p>$38/hour - $40/hour</p></div><p></p><div><p><b><br>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Product Data Science Intern

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide.<br>
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We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon.<br>
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This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and business acumen, and an entrepreneurial spirit.
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We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work independently to deliver business impact.<br>
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Key job responsibilities<br>
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<ul><li>See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques</li></ul><br>
<ul><li>Build strong collaborations. Partner with product, engineering, and data teams within Pricing &amp; Promotions to deploy models at Amazon scale</li></ul><br>
<ul><li>Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems</li></ul><br>
<ul><li>Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.</li></ul><br>
<ul><li>Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.</li></ul><br>
A day in the life<br>
We are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through:<br>
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<ul><li>invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
</li><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.
</li><li>Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
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About the team<br>
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>2+ years of hands-on predictive modeling and large data analysis experience</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with training and deploying machine learning systems to solve large-scale optimizations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Pricing Science

Read AI

<div><h2 class="jobSectionHeader"><b>About Read AI:</b></h2><p>
At Read AI we&rsquo;re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they&rsquo;re in the same room or across time zones.</p><p>
Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we&rsquo;d love to meet you.<br>
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<b>About the Role</b></p><p>
We are seeking a Fullstack Software Engineer to join our fast-growing team at Read AI. In this role, you will be responsible for designing, building, and maintaining scalable web &amp; desktop applications across both frontend and backend systems. You will collaborate closely with product managers, designers, and fellow engineers to deliver high-quality user experiences and robust backend services that power our AI-driven platform.</p><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul><li><p>
Design, develop, and maintain web applications across the full technology stack (frontend and backend).</p></li><li><p>
Build and optimize user interfaces using modern frameworks such as React and Typescript.</p></li><li><p>
Develop and maintain RESTful APIs, microservices, and backend systems using Node.js, Java, Python, or similar technologies.</p></li><li><p>
Collaborate with cross-functional teams to define, design, and ship new features.</p></li><li><p>
Participate in code reviews, technical discussions, and systems design sessions.</p></li><li><p>
Troubleshoot, debug, and optimize application performance.</p></li><li><p>
Contribute to Agile development processes and CI/CD pipelines.</p></li><li><p>
Demonstrate ownership of projects and deliver solutions independently and as part of a team.</p></li></ul><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p>
3+ years of experience in software engineering, with proven fullstack development skills.</p></li><li><p>
Proficiency with modern frontend technologies (e.g., React, TypeScript, Material UI).</p></li><li><p>
Strong knowledge in computer science fundamentals and low-level programming concepts.</p></li><li><p>
Experience with backend technologies (e.g., Node.js, Java, Python, AWS, microservices, SQL/NoSQL databases).</p></li><li><p>
Familiarity with CI/CD pipelines and Agile development methodologies.</p></li><li><p>
Strong problem-solving skills and attention to detail.</p></li><li><p>
Excellent communication and collaboration abilities.</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with AI-driven products or interest in AI/ML applications.</p></li><li><p>
Prior work in a startup or high-growth environment.</p></li><li><p>
Familiarity with Figma or similar design tools.</p></li><li><p>
Experience with Rust and Tauri for desktop application development.</p><p><b><br>
Why Read AI?</b></p><ul><li><p><b>
Innovative: </b>We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective.
</p></li><li><p><b>Massive Impact: </b>AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
</p></li><li><p><b>Growth Opportunities: </b>Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups, according to a16z.
</p></li><li><p><b>Leadership: </b>Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.
</p></li><li><p><b>Collaborative Culture:</b> Work in a supportive and collaborative environment with a diverse and talented team.</p></li></ul><p>
Software Engineer positions offer a base pay range of $145,000 - $180,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.</p><p>
Please note our company does not provide visa support or sponsorship for employees.</p></li></ul></div>

Software Engineer - Fullstack

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