data platform marketing manager - select by doit

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head of product - ai applications

data engineer

CVS Health

<div>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.<h1 class="jobSectionHeader">
Position Summary</h1>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
As a Data Engineer, you will:<ul><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul>
Preferred Qualifications
<ul><li>Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Understanding of software development methodologies including waterfall and agile</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
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. 
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.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Data Engineer

Klaviyo

<div><div>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 klaviyo.com/careers to see how we empower creators to own their own destiny.</div>
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 careers.klaviyo.com to see how we empower creators to own their own destiny.

Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team.

How You'll Make a Difference

As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders.

Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale.

What You'll Do (Responsibilities)

Accelerating Engineering with AI
<ul>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.</li>
</ul>
Data Architecture &amp; Optimization
<ul>
<li>Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies.</li>
<li>Architect solutions for attribution models, event data pipelines, and analytics at scale.</li>
<li>Lead performance optimization efforts across Snowflake and related data systems.</li>
<li>Define and enforce best practices for query performance, warehouse management, and cost control.</li>
</ul>
Pipeline &amp; Platform Ownership
<ul>
<li>Own end-to-end data pipelines, ensuring reliability, scalability, and observability.</li>
<li>Lead complex DAG orchestration with Airflow/MWAA.</li>
<li>Oversee Spark/EMR cluster management, job optimization, and large-scale backfills.</li>
<li>Implement monitoring, alerting, and automated recovery strategies for production systems.</li>
</ul>
Infrastructure &amp; DevOps Leadership
<ul>
<li>Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources.</li>
<li>Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform.</li>
<li>Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild.</li>
<li>Promote containerization best practices with Docker for scalable deployments.</li>
</ul>
Cost &amp; Performance Management
<ul>
<li>Monitor Snowflake and EMR usage to proactively optimize costs.</li>
<li>Analyze query performance and warehouse efficiency.</li>
<li>Troubleshoot and resolve pipeline and infrastructure performance issues.</li>
</ul>
Leadership &amp; Mentorship
<ul>
<li>Mentor and coach junior and mid-level data engineers through code reviews and technical guidance.</li>
<li>Establish and enforce coding standards, testing practices, and CI/CD processes.</li>
<li>Serve as technical lead for cross-functional data initiatives.</li>
<li>Advocate for reliability, performance, and cost optimization across the data engineering function.</li>
</ul>
Who You Are (Qualifications)
<ul>
<li>5+ years of data engineering experience, including demonstrated technical leadership.</li>
<li>Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning.</li>
<li>Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance.</li>
<li>Strong Python skills for data processing, API integrations, and internal tooling.</li>
<li>Experience architecting data lakehouse solutions.</li>
<li>Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR.</li>
<li>Proven experience operating production systems with a strong focus on reliability and cost efficiency.</li>
<li>Demonstrated experience leveraging AI to improve personal and team workflows.</li>
<li>Strong problem-solving skills and an operational mindset focused on SLAs and production stability.</li>
<li>Ability to align technical decisions with business priorities.</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul>
Nice to Haves
<ul>
<li>Expertise in Spark/EMR performance optimization and scaling strategies.</li>
<li>Advanced Terraform usage across multi-environment infrastructure.</li>
<li>Extensive experience with Airflow/MWAA orchestration at scale.</li>
<li>Strong Docker and container orchestration experience.</li>
<li>Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents.</li>
<li>Domain experience in:</li>
<li><ul><li>Marketing attribution modeling and analytics data flows</li>
<li>Event data ingestion, transformation, and large-scale aggregation</li>
<li>Data warehouse governance, optimization, and cost modeling</li>
<li>BI infrastructure and operational excellence</li></ul></li></ul> 

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.
Please see the independent bias audit report covering our use of Covey here<div>
Get to Know Klaviyo

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.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 

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.
<div>
<div><div><div><div><div><div><div><div><div><div><div>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.</div>
<div></div>
<div>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. You can find our Job Applicant Privacy Notice here and here (FR).</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Data Engineer, Business Intelligence

Chewy

<div>Job Description:
Our Opportunity
Chewy is seeking a full-stack Software Engineer II to join our Site Analytics Engineering team in Bellevue, WA. In this role, you will design, build, and maintain the applications and services powering Chewy&rsquo;s web and app analytics and experimentation platforms. You&rsquo;ll collaborate closely with storefront engineers and cross-functional stakeholders to ensure seamless integration and high performance across web and mobile platforms.
The Site Analytics Engineering team is responsible for data analytics and experimentation infrastructure &ndash; we empower our stakeholders with high quality data services, behavioral (Clickstream) event tracking, and experimentation platform capabilities. As a Software Engineer II, you will help define the technical direction of our event-driven analytics platform and lead the development of scalable, reliable backend systems that enable actionable insights and measurable business impact.
What You&rsquo;ll Do<ul><li>
Design, build, and maintain scalable backend systems, APIs, and microservices that power Chewy&rsquo;s internal clickstream analytics, experimentation, and data platforms.</li><li>
Contribute to event-driven architectures using Apache Kafka to support real-time data collection, streaming, and integration, ensuring data accuracy and consistency across analytics pipelines.</li><li>
Implement robust, fault-tolerant data services that ingest, process, and deliver trillions of daily events to downstream systems, supporting operational dashboards, reporting, and experimentation frameworks.</li><li>
Write clean, maintainable, and well-tested code, and contribute to code reviews, design discussions, and CI/CD best practices to ensure code quality and continuous delivery.</li><li>
Automate infrastructure provisioning using Terraform and Git-based workflows to deploy scalable, containerized applications. Champion infrastructure-as-code best practices across the team.</li><li>
Ensure reliability and performance of critical services through observability (e.g., Datadog, Grafana), active monitoring, and resolution of performance bottlenecks in high-throughput environments.</li><li>
Collaborate cross-functionally with frontend engineers, data engineers, data scientists, and product managers to understand requirements and translate them into backend solutions aligned with Chewy&rsquo;s business goals.</li><li>
Drive a culture of technical excellence and continuous improvement through documentation, mentorship, and collaboration, while upholding Chewy&rsquo;s standards for data security, compliance, and stakeholder trust.</li><li>
Articulate complex technical ideas (e.g., why a unified metric needs a certain definition, or how a new infrastructure change will reduce latency) to both technical and non-technical stakeholders.</li></ul>
What You&rsquo;ll Need<ul><li>
4+ years of professional backend software engineering experience, with a proven track record of building and maintaining large-scale systems in data-intensive environments.</li><li>
Ability to work across the entire application stack, from building user-facing interfaces (React, TypeScript, HTML/CSS) to implementing robust server-side logic (Java or Kotlin).</li><li>
Hands-on experience with containerization (Docker/Kubernetes) and deploying services within AWS environments (EC2, ECS, CloudWatch).</li><li>
Experience contributing to the design and leading the implementation of microservices and distributed systems.</li><li>
Proficiency in building event-driven components using Apache Kafka or similar streaming platforms and managing data via SQL/NoSQL databases.</li><li>
Familiarity with modern data stores and query engines like Snowflake, Databricks, or Redshift.</li><li>
Strong ability to perform code reviews, write technical documentation, and collaborate with cross-functional teams (Product, Design, Data).</li></ul>
Nice to Have:<ul><li>
Experience building AI-driven applications or integrating modern LLM-based capabilities.</li></ul><ul><li>
Experience with Terraform and observability tools such as Datadog, Dynatrace, CloudWatch, and Grafana.</li><li>
Proficiency in SQL databases (e.g., MySQL, PostgreSQL) for schema design, query optimization, and data modeling.</li><li>
Previous work on data platforms (Segment, mParticle, Tealium etc), experimentation frameworks (such as Weblab, Statsig, Eppo, Optimizely etc), and site analytics in a high-growth or e-commerce setting.</li></ul>
Join us to build foundational systems that power Chewy&rsquo;s data-driven decisions and elevate our customer experience through analytics and experimentation. 

The base salary range for this role is $120,000 - $191,500.<ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</div>

Software Engineer II,

YO IT Consulting

<div>
 
 Role Overview
 
 
 
 Leading AI lab to engage independent
 
 Data Science Experts
 
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 More About The Opportunity
 
 
 
 <ul>
 <li>
 Expected commitment: 10+ hours/week.
 </li>
 <li>
 Exposure to high-impact AI research and applied experimentation.
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 
 Contract and Payment Terms
 
 
 
 <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

Nutanix

<div><div>Hungry, Humble, Honest, with Heart.</div><div></div><div>
The Opportunity</div><div>
As a SLED Account Manager at Nutanix, you will be an essential part of our SLED Northeast sales team. Your main responsibility will be to sell Nutanix's products and solutions through channel partners and directly interact with customers in the region. What sets this role apart is the close collaboration with a Sales Engineer, ensuring seamless delivery of our solutions to customers. It's an exciting opportunity to join a motivated team and contribute to Nutanix's mission of revolutionizing the IT industry. The SLED team at Nutanix is a growing and passionate sales team focused on disrupting the data center industry in SLED accounts. We are driven to succeed and make a difference in the market. Join our team and be part of our exciting journey in transforming the future of IT infrastructure.</div><div>
</div><div>
About the Team</div><div>
The team culture is centered around principles of hungry, humble, honest and heart, emphasizing teamwork, accountability, long-term planning, and prioritizing customer success. Team collaboration is key to maintaining the high level of performance and success that Nutanix is known for.</div><div>
You will report to the Regional Director Sales. This position is remote, with the expectation that the candidate will be in front of prospects, customers, and partners. The candidate must be prepared to conduct face-to-face meetings at least 3 days a week with prospects, customers, and partners in the territory</div><div>
</div><div>
Your Role</div><ul><li>
Develop a strategic account plan tailored to the customers' business needs to effectively sell Nutanix products and services.</li><li>
Foster strong relationships with existing accounts and new prospects to build and strengthen business partnerships.</li><li>
Identify and utilize Nutanix customer references to effectively promote and sell Nutanix products.</li><li>
Provide valuable product feedback to engineering team to continuously improve Nutanix complete block solutions.</li><li>
Recommend marketing strategies to drive sales and increase brand awareness.</li><li>
Schedule and attend sales call appointments with partner organizations, and involve Nutanix Channel Partner Representatives if necessary, to qualify for potential opportunities.</li><li>
Regularly update your Manager on the status of your accounts, including forecast and pipeline information.</li><li>
Offer training opportunities to your accounts to enhance their knowledge and understanding of Nutanix products.</li><li>
Take responsibility for responding promptly to RFPs and following up with prospects to ensure a seamless sales process.</li></ul><div>
What You Will Bring</div><ul><li>
5 - 7 years of enterprise technoloy sales experience; preferably SLED sales experience.</li><li>
Experience that demonstrates a strong level of expertise in technical specifications required to sell Nutanix products and services is required.</li><li>
Bachelor&rsquo;s Degree or equivalent experience.</li><li>
Track record of consistent success and SLED relationships in the territory.</li></ul><div>
The pay range for this position at commencement of employment is expected to be between USD $201,600 and USD $302,400 per year.</div><div></div><div>
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</div><div></div><div><div>
Remote: This position is primarily remote. There is no specific in-office requirement, however, there may be circumstances where you may be required to come into a local office for a specific purpose, and/or to travel to other locations based on business needs.</div></div><div></div><div>
If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.</div></div>

SLED Account Manager

The Boston Beer Company

<div>We are currently hiring a Data Operations Intern in Boston MA. This is a 10-week summer internship running from June 1, 2026 &ndash; August 7, 2026.
We are seeking a motivated Data Operations Intern to join our IT Enterprise Data Group for a 10-week internship. This role offers hands-on experience in data management, reporting, and internal communications. The intern will work closely with the Data Operations team to complete two key projects:
<div><ul><li>Data Consolidations: Execute several data consolidation tasks to improve reporting data quality and consistency across systems.
</li></ul><ul><li>Internal Data Quality Webpage Development (BrewHub): Create and maintain an internal webpage that tracks and communicates weekly data quality issues and resolutions.
</li></ul></div>This internship provides cross-functional exposure, collaborating with data engineers, sales analysts, supply chain teams, and legal.
What you&rsquo;ll Brew:
<ul><li>Perform data consolidation and validation to enhance reporting accuracy.
</li><li>Develop and maintain an internal webpage for data quality tracking and communication.
</li><li>Analyze data quality issues and document resolutions.
</li><li>Collaborate with cross-functional teams to gather requirements and share updates.
</li><li>Assist in preparing reports and dashboards for stakeholders as needed.
</li></ul>What Ingredients You&rsquo;ll Bring
Minimum Qualifications
<ul><li>Analytical Skills: Ability to analyze and interpret data to identify trends and issues.
</li><li>Communication Skills: Strong written and verbal communication for cross-functional collaboration.
</li><li>Problem-Solving: Ability to troubleshoot and resolve data-related issues.
</li><li>Attention to Detail: Ensuring accuracy in data consolidation and reporting.
</li><li>Basic understanding of Microsoft Office Products (i.e. Excel, Word, etc.)
</li></ul>Preferred Qualifications
<ul><li>Technical Skills:
</li><li>Basic knowledge of SQL and relational databases.
</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau).
</li></ul>What You&rsquo;ll Gain:
<ul><li>Hands-on experience in data operations and quality management.
</li><li>Exposure to enterprise data systems and cross-functional collaboration.
</li>Opportunity to contribute to high-impact projects improving data integrity 
<li>
</li></ul>In accordance with pay transparency laws the rate for this role if hired is $18 - $20 an hour. 
Boston Beer Corporation is an equal opportunity employer and is committed to a diverse workforce. In order to help ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who wish to request accommodation in the job application process can contact jobs@bostonbeer.com for assistance.</div>

Data Operations Intern

DoiT

<div>Location 
Our Data Platform Marketing Manager - SELECT by DoiT, will be an integral part of our global Marketing team. This role is based remotely on the East Coast of the US, in the Central US, or in Canada.

Who We Are 
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity 
The Data Platform Marketing Manager - SELECT by DoiT, reporting to VP, Global Marketing, is the strategic marketing leader responsible for driving growth, pipeline, and market positioning for DoiT's data lake and Snowflake optimization business.

This role is not simply a coordinator of campaigns. It is the centralized marketing owner of the business unit's go-to-market strategy.

You will partner directly with the Business Unit Head of Sales, Product leadership, and Marketing functional heads to define priorities, sharpen ICP focus, shape economic messaging, and orchestrate integrated programs that position SELECT and data workload optimization as mission-critical for modern cloud and data teams.

This role sits at the intersection of:
<ul>
<li>Snowflake &amp; Databricks optimization</li>
<li>Data lake cost governance</li>
<li>Performance and cost efficiency for enterprise data workloads</li>
</ul>
You are accountable for turning strategy into measurable revenue impact.

Read more about SELECT.

Responsibilities

1. Business Unit GTM Strategy &amp; Centralization
<ul>
<li>Serve as the primary marketing lead for the SELECT / Data Platform business unit</li>
<li>Translate revenue targets and expansion goals into a unified quarterly marketing strategy</li>
<li>Define ICP segmentation across Snowflake customers, enterprise data teams, and cloud data platform operators</li>
<li>Shape economic narratives around data platform waste reduction and performance optimization</li>
<li>Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative</li>
<li>Ensure SELECT positioning is clearly differentiated in the data optimization market</li>
</ul>
You are responsible for ensuring the business unit has focus, clarity, and a defined market story.

2. Integrated Campaign Strategy &amp; Execution

Lead and direct cross-functional execution across:

Growth and Digital
<ul>
<li>Paid search around Snowflake optimization</li>
<li>LinkedIn targeting for data engineering and FinOps leaders</li>
<li>Retargeting strategies tied to data workload interest</li>
<li>SDR campaign enablement and follow-up strategy</li>
</ul>
Content
<ul>
<li>Data platform optimization guides</li>
<li>Data lake cost efficiency playbooks</li>
<li>Case studies showing measurable cost reduction outcomes</li>
<li>Economic value narratives tied to cost savings</li>
</ul>
Creative
<ul>
<li>Campaign themes for data optimization</li>
<li>Visual positioning aligned to enterprise data workloads</li>
</ul>
Develop and manage strategic campaign briefs that align messaging, audience, and economic value.

3. Data Workload Demand Generation

Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem:
<ul>
<li>Data Platform digital campaigns</li>
<li>Data platform optimization webinars</li>
<li>Executive roundtables for data and FinOps leaders</li>
<li>Campaign landing pages tied to measurable cost outcomes</li>
<li>Content programs built around &quot;data platform optimization&quot;</li>
</ul>
Drive performance against:
<ul>
<li>Marketing sourced pipeline</li>
<li>Customer expansion</li>
<li>Cost per qualified meeting</li>
<li>Pipeline velocity</li>
</ul>
4. Webinar &amp; Thought Leadership Strategy

Move beyond one-off webinars and build a repeatable data workload narrative:
<ul>
<li>Develop quarterly thought leadership themes around data efficiency</li>
<li>Position SELECT as the intelligent optimization layer for Snowflake and additional data platforms</li>
<li>Align with Product and BU Sales to highlight roadmap and innovation</li>
<li>Ensure conversion from registrant to opportunity is structured and measurable</li>
</ul>
5. Performance &amp; Revenue Accountability

Partner with Content, Growth, Sales, and RevOps to create visibility into:
<ul>
<li>Cost per lead and cost per meeting</li>
<li>Conversion to opportunity</li>
<li>Pipeline contributionInfluenced revenue</li>
<li>Continuously refine programs based on performance data and economic outcomes.</li>
</ul>
This role thinks in revenue impact, not campaign volume.

What Success Looks Like
<ul>
<li>A clearly articulated quarterly GTM strategy for SELECT</li>
<li>Centralized prioritization of marketing initiatives aligned to revenue</li>
<li>Measurable growth in Snowflake-focused pipeline</li>
<li>Clear differentiation in the data optimization market</li>
<li>Strong alignment with BU Sales and Product leadership</li>
<li>Demonstrated contribution to expansion and net new pipeline</li>
</ul>
Qualifications
<ul>
<li>3 to 5 years in B2B marketing, demand generation, or product marketing</li>
<li>Experience marketing to data engineering, data platform, or FinOps audiences</li>
<li>Familiarity with Snowflake, data lakes, or cloud data workloads</li>
<li>Strong strategic planning capability combined with hands-on execution</li>
<li>Demonstrated success driving pipeline growth in a technical B2B environment</li>
<li>Experience partnering closely with sales leadership</li>
</ul>
Ideal Profile
<ul>
<li>Thinks in terms of revenue, expansion, and economic value</li>
<li>Understands enterprise data teams and cloud cost pressures</li>
<li>Comfortable owning a business unit narrative</li>
<li>Can centralize and prioritize across competing marketing inputs</li>
<li>Moves fluidly between strategy and execution</li>
<li>Data-driven and outcome-oriented</li>
</ul>
Are you a Do'er? 
Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
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We thought so too, but we're here and happy we hit that 'apply' button.

Full-time employee benefits include:
<ul>
<li>Unlimited Vacation</li>
<li>Flexible Working Options</li>
<li>Health Insurance</li>
<li>Parental Leave</li>
<li>Employee Stock Option Plan</li>
<li>Home Office Allowance</li>
<li>Professional Development Stipend</li>
<li>Peer Recognition Program</li>
</ul>
Many Do'ers, One Team 
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal&mdash;it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

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Data Platform Marketing Manager - SELECT by DoiT

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