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lead software engineer data and martech

America's Test Kitchen

<div><p>America's Test Kitchen is looking for a Lead Software Engineer. The Lead Software Engineer, Data and MarTech, is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs.</p>
<p>Operating with a high degree of autonomy, this individual is expected to navigate ambiguity, make sound architectural decisions, and deliver solutions that span multiple systems and stakeholders. They play a critical role in translating loosely defined product and analytics requirements into durable data platforms and pipelines that enable both operational and strategic use cases.</p>
<p>Beyond delivery, the Lead Software Engineer sets the standard for engineering excellence within the team. They influence how work is structured, how quality is measured, and how systems evolve over time. Their presence should elevate the team&rsquo;s ability to deliver predictable, high-quality outcomes while reducing operational friction and improving data trust across the organization.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design, build, and maintain scalable data pipelines and data services (batch and real-time)</li>
<li>Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases</li>
<li>Break down complex data initiatives into actionable work aligned with Scrum delivery practices</li>
<li>Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements</li>
<li>Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing</li>
<li>Implement and maintain data quality frameworks, including validation, monitoring, and alerting</li>
<li>Define and uphold SLAs/SLOs for data availability, latency, and accuracy</li>
<li>Contribute high-quality production code and conduct thorough code reviews across the team</li>
<li>Identify, surface, and mitigate technical risks that could impact delivery or system reliability</li>
<li>Drive observability across data systems using logging, metrics, and tracing tools</li>
<li>Mentor engineers and elevate team capabilities in data engineering practices</li>
<li>Influence technical direction across teams and contribute to broader platform strategy</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li>7+ years of software engineering experience with a strong emphasis on data engineering</li>
<li>Proven experience designing and operating scalable data pipelines and distributed data systems</li>
<li>3+ years of experience designing data solutions on AWS</li>
<li>Proficiency in one or more programming languages such as Python, Java, or Scala</li>
<li>Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery)</li>
<li>Strong understanding of data modeling concepts, including dimensional modeling and data warehousing</li>
<li>Experience working within Agile/Scrum teams and contributing to sprint planning and execution</li>
<li>Hands on experience with real-time streaming and event-driven architectures</li>
<li>Demonstrated ability to solve complex technical problems with minimal direction</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience implementing data governance, lineage, and cataloging solutions</li>
<li>Exposure to machine learning workflows or data science collaboration</li>
<li>Prior experience leading technical initiatives or influencing multiple teams</li>
<li>Bachelor of Science in Computer Science or similar discipline</li>
</ul><h3 class="jobSectionHeader"><b>Impact</b></h3>
<p>This role is foundational to building a data-driven organization. By ensuring that data systems are reliable, scalable, and aligned to business needs, the Lead Software Engineer (Data) enables faster decision-making, more effective product development, and increased confidence in the organization&rsquo;s data assets. Their leadership directly contributes to reducing operational risk, improving data quality, and accelerating the delivery of high-impact data capabilities.</p>
<p>Location: This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote applicants.</p>
<p><b>Salary Range:</b> $ 140,000 - $ 160,000</p>
<p>The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate&rsquo;s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law.</p>
<p><b>About America&rsquo;s Test Kitchen:</b></p>
<p>The mission of America&rsquo;s Test Kitchen (ATK) is to empower and inspire confidence, community, and creativity in the kitchen. Founded in 1992, the company is the leading multimedia cooking resource serving millions of fans with TV shows (America&rsquo;s Test Kitchen, Cook's Country, and America&rsquo;s Test Kitchen: The Next Generation), award-winning magazine (Cook&rsquo;s Illustrated) and limited-edition newsstand issues, cookbooks, podcasts, FAST channels, short-form video series, and the ATK Essential Membership for digital content. Based in a state-of-the-art 15,000-square-foot test kitchen in Boston&rsquo;s Seaport District, ATK has earned the trust of home cooks and culinary experts alike thanks to its one-of-a-kind processes and best-in-class techniques. Fifty full-time (admittedly very meticulous) test cooks, editors, and product testers spend their days tweaking every variable to find the very best recipes, equipment, ingredients, and techniques. Learn more at https://www.americastestkitchen.com/.</p>
<p><b>Why America&rsquo;s Test Kitchen:</b></p>
<p>We're passionate about cooking, and about creating the best place to work. We're small enough for your ideas to make a big impact, and large enough to offer you opportunities to grow professionally at any stage of your career. We want you to take risks and make mistakes &mdash; that's how innovation happens in our test kitchen, in our offices, and in life.</p>
<p>We at America&rsquo;s Test Kitchen believe food media can be a powerful force for social change. We are passionate about building an inclusive workforce that represents many different cultures, backgrounds, abilities, identities, and perspectives.</p>
<p>We welcome your application.</p></div>

Lead Software Engineer, Data and MarTech

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Software Engineer II - Analytics Data Engineering | AI &amp; Analytics Data Enablement</b></h2>
<p>
Location: Boston, MA</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won't just be moving data; you'll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.</p>
<p>
You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Build Production-Grade Foundations</b>: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.</li>
<li><b>Optimize for Enterprise Performance</b>: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.</li>
<li><b>Treat Data as a Product</b>: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.</li>
<li><b>Drive Operational Excellence</b>: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.</li>
<li><b>Partner Cross-Functionally</b>: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.</li>
<li><b>Innovate with AI</b>: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3>
<ul><li><b>The Experience:</b> 2+ years of experience in data engineering or a data-intensive software engineering role. You've moved past the &quot;beginner&quot; phase and are comfortable taking a project from a design doc to a production deployment.</li>
<li><b>Fluent in SQL and Python:</b> You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.</li>
<li><b>Distributed Systems Knowledge:</b> You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).</li>
<li><b>Modeling Intuition:</b> You understand the difference between a &quot;raw table&quot; and a &quot;semantic layer.&quot; You've worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).</li>
<li><b>Performance Minded:</b> You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.</li>
<li><b>Collaborative &amp; Curious:</b> You're an inclusive collaborator who enjoys working with Product and Data Science. You're excited to experiment with AI tools to make your own engineering workflow more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves</b></h3>
<ul><li>Experience with Iceberg table maintenance and compaction.</li>
<li>Exposure to Terraform or other Infrastructure-as-Code tools.</li>
<li>A background in Martech or SaaS platforms dealing with high-frequency event data.</li>
<li>Experience building data products that directly power customer-facing UI components and/or support AI/ML features.</li>
<li>Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.</li>
<li>Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).</li>
<li>Familiarity with statistical modeling and machine learning.</li>
</ul><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Software Engineer II - Analytics Data Engineering

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p></p><p>
CVS Media Exchange [CMX] is building the next generation of retail &amp; health media technology. We empower suppliers, merchants, store teams, brand advertisers, and agencies through full‑funnel media solutions powered by CVS&rsquo;s unmatched in‑store and online data. Our reach, scale, and insight capabilities enable measurable outcomes&mdash;and we&rsquo;re only getting started.</p><p></p><p>
At the center of this transformation is a foundational, end‑to‑end campaign lifecycle platform that supports how campaigns are sold, planned, activated, optimized, measured, and billed across CMX&rsquo;s onsite, in store, offsite, and experiential experiences.</p><p></p><p>
We are seeking a Senior Product Manager to help define and build this platform&mdash;owning core capabilities across sales and campaign workflows while identifying and activating AI‑driven and agentic use cases that improve how CMX operates at scale. This individual contributor role would be ideal for a hands‑on platform builder who thrives in ambiguity, is comfortable navigating complex systems, and is motivated by building durable product foundations that unlock speed, consistency, and automation across teams.</p><p></p><p><b>
Key Responsibilities</b></p><p>
Platform &amp; Product Leadership</p><ul><li>
Own core components of an end‑to‑end campaign lifecycle platform, spanning pre-sales, campaign setup, activation, optimization, measurement, and billing.</li><li>
Help define a unified product strategy that serves as a shared foundation across CMX products rather than a standalone point solution.</li><li>
Translate long‑term platform vision into a phased, executable roadmap that balances near‑term delivery with long‑term scalability.</li></ul><p></p><p>
AI Use Case Assessment &amp; Activation</p><ul><li>
Partner with Product, Engineering, Data Science, and Operations to identify, evaluate, and prioritize AI and agentic use cases across the campaign lifecycle.</li><li>
Help activate AI‑driven capabilities that improve CMX internal operations, including workflow efficiency, decision support, automation, and campaign execution quality.</li><li>
Ensure AI capabilities are thoughtfully integrated into the platform roadmap with clear business value, guardrails, and success metrics.</li></ul><p></p><p>
End‑to‑End Product Development</p><ul><li>
Lead the full product lifecycle from discovery through launch and iteration, including requirements definition, discovery &amp; scoping, and delivery.</li><li>
Work closely with Engineering and Architecture on platform design decisions, including APIs, data models, and extensibility.</li><li>
Write clear, outcome‑oriented product requirements that align business goals with technical execution.</li><li>
Define success metrics across adoption, operational efficiency, and platform performance.</li></ul><p></p><p>
Collaboration &amp; Cross‑Functional Influence</p><ul><li>
Act as a connective layer across CMX teams, ensuring alignment between campaign platform capabilities and onsite and in store, offsite, self‑service, and future product needs.</li><li>
Partner with Sales, Operations, and Client Success to ensure the platform improves both internal execution at scale and advertiser experience.</li><li>
Communicate product strategy, tradeoffs, and progress clearly to senior stakeholders and leadership.</li></ul><p></p><p><b>
Office Location</b></p><p>
This role is remote or hybrid and commutable to one of the following Corporate Hubs, which requires working in the office 2 days a week (Tuesday - Wednesday):</p><ul><li>
New York, NY &ndash; Soho office</li><li>
Boston or Wellesley, MA</li><li>
Woonsocket, RI</li><li>
Blue Bell, PA</li><li>
Chicago, IL</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
5+ years of experience in product management with a strong understanding of end‑to‑end product lifecycle management</li><li>
2 + years of proven experience delivering complex, cross‑functional products with multiple stakeholder groups ideally spanning platform AdTech, MarTech, or data‑driven systems</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience building or scaling platforms, shared services, or foundational product layers</li><li>
Familiarity with campaign workflows, ad tech systems, or retail media ecosystems</li><li>
Experience evaluating or implementing AI‑driven features, automation, or decision‑support systems</li><li>
Comfort operating in ambiguous problem spaces and early‑stage platform builds</li><li>
Experience partnering closely with engineering on technical product decisions</li><li>
Analytical, structured problem‑solver with a data‑driven approach</li><li>
Strong written and verbal communication skills, including executive‑level storytelling</li><li>
Experience in healthcare, retail, or highly regulated environments a plus</li></ul><p></p><p><b>
Education</b></p><p>
Bachelor&rsquo;s degree in a relevant field or equivalent (HS Diploma and 4 years of experience) required</p><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$82,940.00 - $199,144.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 05/31/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Product Manager - Campaign Lifecycle Platform - CVS Media Exchange (CMX)

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Senior AI Platform Engineer</b></h2>
<p>
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.</p>
<p>
As a <b>Senior AI Platform Engineer</b>, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.</p>
<p><i>
This role is hybrid and based in Boston.</i></p>
<p><b>
How you'll make a difference:</b></p>
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
<p><b>Who You Are:</b></p>
<p><i>
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!</i></p>
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul><br>
<p></p>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p>
<p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

Ratio Therapeutics

<div>
 <strong>
  About Ratio Therapeutics
  <br/>
  <br/>
 </strong>
 Ratio Therapeutics is committed to improving and extending the lives of cancer patients without sacrificing their quality of life. We are a team of passionate scientists, engineers, and business professionals dedicated to advancing the field of targeted radioligand therapy. To accomplish this, we utilize our proprietary TRILLIUM&trade; and MACROPA&trade; platforms: TRILLIUM&trade; allows fine-tuning of radioligand pharmacokinetics thereby enhancing the therapeutic index, while MACROPA&trade; simplifies the manufacturing process for the alpha-emitting isotope, actinium-225. These enabling platform technologies have resulted in an emergent pipeline of novel therapeutic candidates. We are looking for talented, dedicated, and creative individuals eager to help us advance these technologies from discovery research through clinical development. Join us in our quest to become the leading innovator in radioligand therapy and improve the lives of cancer patients and their families.
 <br/>
 <br/>
 <strong>
  About The Position
  <br/>
  <br/>
 </strong>
 Ratio Therapeutics is seeking a highly motivated and detail-oriented Junior Data Engineer to join our dynamic Data team. This role will be pivotal in building, maintaining, and monitoring data pipelines that support our laboratory, R&amp;D, and operational functions. The Junior Data Engineer will collaborate closely with scientists, engineers, and IT professionals to design and implement reliable data workflows, integrate data from diverse laboratory systems, and help establish best practices for data quality and governance.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain data pipelines that move and transform data from laboratory instruments, ELNs, LIMS, and other source systems into our centralized data platforms.
  </li>
  <li>
   Work closely with stakeholders to understand data requirements, data models, and workflows, and translate these into robust, well-documented data engineering solutions.
  </li>
  <li>
   Develop and maintain reusable scripts and automation (e.g., for file ingestion, API integrations, data transformations, and validation checks) using modern programming languages and tools (e.g., Python).
  </li>
  <li>
   Monitor data pipelines and jobs, investigate failures or performance issues, and help improve pipeline reliability, observability, and scalability over time.
  </li>
  <li>
   Implement data quality checks and validation rules to ensure completeness, consistency, and accuracy of laboratory and study data.
  </li>
  <li>
   Collaborate with the data team to deploy, version, and maintain data workflows in shared environments (e.g., dev/test/prod), following best practices for code review and change management.
  </li>
  <li>
   Contribute to documentation and standards for data schemas, pipeline designs, and data governance, helping to establish and refine best practices for the Data team.
  </li>
  <li>
   Support end users (scientists, analysts, and other stakeholders) by troubleshooting data-related issues and building small utilities or tools that make data easier to access and use.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Information Systems, Bioinformatics, or a related technical field, or equivalent practical experience.
  </li>
  <li>
   Foundational experience with programming for data work, preferably in Python or a similar language (through coursework, internships, or projects).
  </li>
  <li>
   Experience developing web-based user interfaces (e.g. VueJS, React).
  </li>
  <li>
   Understanding of ETL/ELT concepts and data pipelines, including working with structured data (e.g., CSV, relational databases) and semi-structured data (e.g., JSON).
  </li>
  <li>
   Basic experience with SQL for querying and transforming data.
  </li>
  <li>
   Familiarity with version control (e.g., Git) and collaborative software development practices is a plus.
  </li>
  <li>
   Exposure to data integration in a lab, biotech, or healthcare environment (e.g., ELN, LIMS, instrument data) is a plus but not required.
  </li>
  <li>
   Strong analytical and problem-solving skills, with an interest in debugging and improving data workflows.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
  </li>
  <li>
   Exposure to cloud platforms (e.g., AWS, Azure, GCP) or data engineering tools (e.g., Airflow, dbt, Spark) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 The annual base salary for this role is expected to range between $65,000.00 and $70,000.00. This range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. The actual base salary offered will depend on a variety of factors, including qualifications, work experience, skills, level of education attained, certifications or other professional licenses held, the location in which the applicant lives and/or from which they will be performing the job, and other job-related factors permitted by law.
</div>


Junior Data Engineer

WilmerHale

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
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 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
  </li>
  <li>
   Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
  </li>
  <li>
   Optimizes existing generative AI models for improved performance, scalability, and efficiency.
  </li>
  <li>
   Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
  </li>
  <li>
   Contributes to the establishment of best practices and standards for AI development within the organization.
  </li>
  <li>
   Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
  </li>
  <li>
   Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
  </li>
  <li>
   Provides technical mentorship and guidance to other team members.
  </li>
  <li>
   Creates and delivers end-user training and documentation and provides second-line support to other users.
  </li>
  <li>
   Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
  </li>
  <li>
   Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
  </li>
  <li>
   Participates in special projects and performs other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <strong>
  What You Will Bring to This Position
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
  </li>
  <li>
   Experience building recommendation models.
  </li>
  <li>
   Strong knowledge of data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Familiar with cloud-based platforms and services, such as Azure or AWS.
  </li>
  <li>
   Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
  </li>
  <li>
   Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
  </li>
  <li>
   Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
  </li>
  <li>
   Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
  </li>
  <li>
   Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
  </li>
  <li>
   Willingness and ability to learn and use new technologies as the need arises.
  </li>
  <li>
   Ability to work effectively with both users and technical staff in team-oriented environments.
  </li>
  <li>
   Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
  </li>
  <li>
   Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
  </li>
  <li>
   A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
  </li>
  <li>
   Hands-on experience with LLMs fine-tuning is a plus.
  </li>
  <li>
   Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
  </li>
  <li>
   The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
  </li>
  <li>
   2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
  </li>
  <li>
   4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
  </li>
  <li>
   Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Commitment
  <br/>
  <br/>
 </strong>
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 <br/>
 <br/>
 For more information about Equal Employment Opportunity, please click here.
 <br/>
 <br/>
 Hire in salary range is $135,000 - $169,000
 <br/>
 <br/>
 <ul>
  <li>
   For additional information about our benefits, please click here
   <br/>
   <br/>
  </li>
 </ul>
 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
 <br/>
 <br/>
</div>


Artificial Intelligence (AI) Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Employer: Amazon Web Services, Inc.<br>
Position: Data Engineer II<br>
Location: Boston, MA<br>
<br>
Multiple Positions Available:<br>
<br>
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.<br>
<br>
(40 hours / week, 8:00am-5:00pm, Salary Range $132100 - $178800)<br>
<br>
Amazon.com is an Equal Opportunity &ndash; Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><p>
Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; SQL; and Oracle.<br>
<br>
The pay range for this position in Boston, MA is $132100 - $178800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Boston, MA Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.</p><h2 class="jobSectionHeader"><b><br>
PREFERRED QUALIFICATIONS</b></h2><p>
All applicants must meet all the above listed requirements.<br>
<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></div>

Data Engineer II - AMZ26123.1

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