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data pipeline engineer

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 <br/>
 <br/>
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 <br/>
 <br/>
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
  </li>
  <li>
   Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
  </li>
  <li>
   Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
  </li>
  <li>
   Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
  </li>
  <li>
   Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
  </li>
  <li>
   Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
   <br/>
   <br/>
  </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 <br/>
 <br/>
 <ul>
  <li>
   Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  </li>
  <li>
   Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  </li>
  <li>
   Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  </li>
  <li>
   Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  </li>
  <li>
   Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
  </li>
  <li>
   Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
  </li>
  <li>
   Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
   <br/>
   <br/>
  </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 <br/>
 <br/>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generous Holiday and Time off Policy
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
 <br/>
 <br/>
</div>


Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Data team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools</li><li>Build and maintain high-performance ETL processes that handle large-scale, complex datasets</li><li>Architect end-to-end analytical solutions that are highly available, stable, and cost-effective</li><li>Transform raw data into actionable insights through effective data modeling and integration</li><li>Implement best practices in data system creation, data integrity, and documentation</li><li>Proactively identify opportunities for process improvement and automation</li><li>Partner with business stakeholders to gather requirements and translate them into technical solutions</li></ul><br>
A day in the life<br>
Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA&rsquo;s success, creating pathways to information upon which all of the organization&rsquo;s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA&rsquo;s success, creating pathways to information upon which all of the organization&rsquo;s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer II, Intelligent Talent Acquisition (ITA) - Data

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's mission is to be Earth's most customer-centric company, and our Amazon Customer Service (CS) organization is an essential part of that mission. CS is one of the largest customer service organizations in the world with hundreds of thousands of associates providing support 24/7 in over 22 languages.<br>
<br>
The Network Solutions org within CS is building intelligent, adaptive systems that match customers to optimal experiences and continuously improve service quality at scale. The Journey Management (JM) Team within Network Solutions is looking for a Senior Business Intelligence Engineer to own the data modeling, analytics, and metrics infrastructure for Precision Match, the foundational capability that routes customers to the right support the first time for complete resolution. Journey Completion is the learning and corrective arm of Journey Management building Match Quality Intelligence that runs the flywheel to continuously refine matching quality and develops associates.<br>
<br>
In this role, you will design analytics-ready data models that transform raw pipeline data into structured datasets enabling inspection of matching quality at scale. You will own executive-facing dashboards and automated reporting for P0 Precision Match metrics including First Contact Resolution Rate, Transfer Rate, repeat contact rates, and attribution breakdowns. You will build BI capabilities that enable cross-functional partners to inspect matching performance and surface actionable insights without ad-hoc manual analysis. You will partner with engineering and science teams to define metrics governance, ensure data fidelity, and establish sources of truth for Precision Match reporting.<br>
The ideal candidate is a self-starter comfortable with ambiguity who communicates effectively across technical and non-technical teams and seeks to tell the story of the data with little direction.<br>
<br>
Key job responsibilities<br>
As the Senior Business Intelligence Engineer (BIE) for Journey Completion, you will be the single-threaded owner of the analytics and reporting infrastructure that powers Precision Match decision-making. You will operate at the intersection of data engineering, business intelligence, and product analytics, building systems that make matching performance visible, measurable, and actionable for leadership and cross-functional partners across a global CS network serving 500M+ annual contacts.<br>
<br>
Data Modeling and Dataset Engineering<br>
<ul><li>Design and build analytics-ready data models transforming raw pipeline data from matching, routing, and contact resolution systems into structured, queryable datasets.</li><li>Develop enriched datasets combining internal contact, associate, and routing data with attribution signals, applying data quality checks and ensuring source-to-consumption fidelity.</li><li>Work with cross-functional stakeholders to define and maintain sources of truth for Precision Match metrics. Obsessively monitor data fidelity and own resolution when issues arise.</li></ul><br>
Executive Reporting and Dashboards<br>
<ul><li>Build and own executive-facing dashboards and automated reports (daily, weekly, monthly business reviews) for P0 Precision Match metrics and attribution breakdowns.</li><li>Create standardized reporting and operational templates driving consistent metrics tracking across Journey Management leadership.</li></ul><br>
Analytics and Business Intelligence<br>
<ul><li>Develop analytics solutions enabling cross-functional partners to inspect matching performance, identify trends, and surface actionable insights at scale.</li><li>Manipulate and mine data from Redshift, MySQL, and other sources to perform root cause analyses on matching failures, answer complex business questions, and surface new insights on routing quality and associate performance.</li><li>Quantify Precision Match performance through attribution modeling distinguishing suboptimal matching from planning/supply factors and associate execution gaps.</li><li>Lead business discussions to share insights, challenge status quo, and provide forward-looking recommendations to enable strategic decision making and growth of Precision Match.</li></ul><br>
AI-Enhanced Reporting<br>
<ul><li>Build AI-powered reporting solutions including LLM-assisted insights, automated narrative generation, and intelligent alerting extending what stakeholders can do independently with data.</li></ul><br>
Cross-Functional Partnership<br>
<ul><li>Partner with engineering and science teams on metrics governance and data capture at source.</li><li>Translate complex business needs into clear data solutions across Journey Management, Precision Match science, and associate development teams.</li></ul><br>
About the team<br>
You will be part of a Product and Technology team in Customer Service/ Network Solutions org building the intelligence to understand why a match results in a transfer or repeat contact, applying attribution logic that distinguishes suboptimal matching from planning/supply factors and associate execution gaps. You will work alongside SDEs, BIEs, Data Engineers, Scientists, TPMs, and Product Managers to build the closed-loop feedback system continuously optimizing matching and developing associates serving 500M+ annual contacts.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of developing automated reporting experience</li><li>5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with AWS technologies</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</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 - 130,400.00 - 176,300.00 USD annually</div><p></p>

Senior Business Intelligence Engineer, Amazon Customer Service

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon's Brand Protection charter?<br>
<br>
As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team.<br>
<br>
What are we looking for?<br>
<ul><li>You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.</li><li>You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.</li><li>You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.</li><li>You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.</li><li>You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.</li><li>You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.</li></ul>
- You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example.<br>
<br>
Key job responsibilities<br>
<ul><li>Be highly data driven, resourceful, and team oriented.</li><li>Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.</li><li>Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.</li><li>Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.</li><li>Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.</li><li>Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.</li></ul>
- Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling.<br>
<br>
About the team<br>
<br>
The Brand Protection team is part of Amazon's WW Customer &amp; Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Knowledge of data warehousing and data modeling</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</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 - 130,400.00 - 176,300.00 USD annually</div><p></p>

Business Intelligence Engineer III, Intellectual Property Protection

Okanagan Specialty Fruits Inc.

Marketing Manager Job Description
<br><br>
<b>Location:</b> Remote
<br><b>Reporting to:</b> Director of Marketing
<br><b>Employment Status:</b> Full Time
<br><br>
POSITION SUMMARY
<br><br>
The Marketing Manager plays a critical executional role within the Marketing & Communications team at OSF, reporting to the Director of Marketing & Communications. This role is responsible for driving integrated marketing initiatives from planning through execution, ensuring work is prioritized, delivered on time, on brand, and tied to measurable business outcomes.
<br><br>
This role is for an experienced, highly organized, execution-focused marketer who excels at managing campaigns, content, tools, vendors, and timelines—while collaborating closely with other Marketing Team members, Sales, Leadership, and external partners.
<br><br>
The ideal candidate blends creative judgment, analytical thinking, AI fluency, and sales enablement experience, and is comfortable translating technical or scientific concepts into clear, compelling communications.
<br><br>
POSITION EXPERIENCE & QUALIFICATIONS
<br><br>
<ul>
<li>5 years of marketing experience and demonstrated success executing integrated campaigns and multiple projects simultaneously. Experience in B2B marketing, food, agriculture, or science-based industries is a plus.</li>
<li>Experience in small and large Event / Tradeshow organization and execution.</li>
<li>Bachelor’s degree in Marketing, Communications, Public Relations, or a related field.</li>
<li>Proven experience managing projects and programs rather than people, with accountability for timelines, scope, and deliverables.</li>
<li>Demonstrated ability to digest technical or scientific subject matter and translate it for diverse audiences.</li>
<li>Strong execution mindset with the ability to work independently and proactively.</li>
<li>Demonstrated experience using AI tools and platforms to enhance marketing productivity, content creation, research, and analysis.</li>
<li>Experience creating sales enablement through the development of lead touchpoints, presentations, one-pagers, product narratives, and customer-facing tools.</li>
<li>Proven hands-on experience executing digital marketing, including SEO/SEM, email marketing, marketing automation, advertising, paid social, and content marketing with the ability to track, analyze and optimize campaign performance.</li>
<li>Demonstrated experience with CRM systems to manage contacts, campaigns, lead scoring, and customer/prospect data.</li>
<li>Excellent writing, editing, and proofreading skills with strong attention to detail.</li>
<li>Professional communicator across written, verbal, video, and in-person settings.</li>
</ul>
TOOLS & TECHNOLOGY
<br><br>
<b>Required:</b><br>
<ul>
<li>Microsoft Office (advanced proficiency)</li>
<li>PowerPoint power-user; capable of building executive-level and sales presentations</li>
<li>Adobe Acrobat Pro</li>
<li>AI tools/platforms that enhance marketing productivity</li>
<li>CRM systems (e.g., ZOHO, Salesforce, or similar) for managing contacts, campaigns, and the sales/marketing pipeline</li>
<li>Digital marketing and analytics platforms (e.g., Google Analytics, Google Ads, SEO/SEM tools, email marketing and marketing automation software)</li>
</ul>
<b>Preferred:</b><br>
<ul>
<li>Adobe Creative Suite tools or comparable design platforms</li>
<li>Experience with marketing automation and CRM certifications (e.g., ZOHO, Salesforce, or Marketing Cloud) and integrating CRM data with digital marketing campaigns</li>
</ul>
KEY RESPONSIBILITIES
<br><br>
Campaign & Project Management
<br><ul>
<li>Plan, organize, and execute multi-channel marketing campaigns.</li>
<li>Manage timelines, assets, approvals, and budgets across concurrent projects.</li>
<li>Ensure alignment with OSF’s annual Marketing & Communications plan.</li>
</ul>
AI-Enabled Marketing Execution
<br><ul>
<li>Use AI tools to improve the efficiency, quality, and scalability of marketing outputs.</li>
<li>Identify responsible opportunities to integrate AI into workflows.</li>
</ul>
Performance Analysis & Insights
<br><ul>
<li>Track campaign performance and translate results into actionable recommendations.</li>
<li>Analyze category, customer, or syndicated datasets to inform strategy.</li>
<li>Report on CRM and digital marketing metrics (email performance, web traffic, conversion rates, pipeline contribution) to guide decision-making.</li>
</ul>
Sales Enablement Support
<br><ul>
<li>Develop presentations, collateral, and tools that support sales efforts.</li>
<li>Align materials with customer needs, channels, and the sales cycle stages.</li>
</ul>
Content Development & Management
<br><ul>
<li>Oversee creation of digital and print marketing materials.</li>
<li>Manage email marketing, SEO/SEM, and paid digital campaigns to drive engagement and lead generation.</li>
<li>Coordinate website content updates and content calendars.</li>
</ul>
Digital Marketing & CRM Management
<br><ul>
<li>Maintain and optimize the CRM database, ensuring accurate contact, lead, and campaign data.</li>
<li>Build and manage email nurture sequences, marketing automation workflows, and lead-scoring models within the CRM.</li>
<li>Partner with Sales to align CRM pipeline stages, reporting, and lead hand-off processes.</li>
<li>Manage SEO/SEM, paid social, and other digital advertising channels to grow qualified traffic and leads.</li>
</ul>
Brand Stewardship
<br><ul>
<li>Ensure brand guidelines, voice, and messaging consistency.</li>
<li>Act as a brand advocate across all platforms.</li>
</ul>
Events & Trade Shows
<br><ul>
<li>Lead the planning and execution of small and large exhibitions, sponsorships, and events.</li>
<li>Develop objectives and post-event summaries.</li>
<li>Ensure trade show participation leads to measurable outcomes.</li>
</ul>
Vendor & Partner Management
<br><ul>
<li>Manage external vendors and consultants.</li>
<li>Provide clear direction, timelines, and feedback.</li>
</ul>
Cross-Functional Collaboration
<br><ul>
<li>Support collaboration across Marketing, Sales, Leadership, and other areas of the company.</li>
<li>Assist with internal communications initiatives.</li>
</ul>
Social Media & Influencer Support
<br><ul>
<li>Support social media content planning, advertising and execution.</li>
<li>Coordinate influencer partnerships and sponsored content.</li>
</ul>
Continuous Improvement
<br><ul>
<li>Stay current on marketing tools, trends, and best practices.</li>
<li>Identify opportunities to improve processes and effectiveness.</li>
</ul>
Additional Responsibilities
<br><ul>
<li>Perform other duties as assigned.</li>
</ul>
Who will thrive in this role?
<br>This role is best suited for a hands-on marketer who enjoys creating, executing, and delivering high-quality work across a broad range of marketing activities. As an individual contributor, you'll play an active role in bringing ideas to life while continuing to grow your skills and career at OSF.
<br><br>
Mission Statement
<br>Harnessing excellence in talent, passion, culture, technology, and innovation, OSF delivers premium quality tree fruit products in the constant pursuit of a healthier, more sustainable world.
<br><br>
About Us
<br>Okanagan Specialty Fruits® (OSF) is a vertically integrated company specializing in the development, growing, processing and marketing of novel tree fruit varieties developed through bioengineering and other molecular tools. Based in Summerland, British Columbia, Canada, OSF was founded in 1996. OSF’s flagship product is its nonbrowning Arctic® apples. Arctic apples provide a sustainable solution to less food waste and improved apple consumption.
<br>For company information and partnership opportunities, visit www.osfruits.com.

Marketing Manager

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
This is not your typical entry-level sales role &mdash; it's a launchpad.<br>
<br>
At Amazon, our peculiar culture and obsession with delighting customers extends to everything we do, including what we call our teams. While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer-first DNA means we call our team members &quot;Customer Acquisition Representatives&quot; (CARs). It's more than a name, it reflects our belief that every interaction should start and end with the customer. As a CAR, you'll accelerate pipeline growth, navigate complex customer landscapes, shift gears between strategic thinking and high-impact execution, and put customers in the driver's seat of their cloud journey. Every CAR needs fuel, yours will be curiosity, coaching, and the full support of the world's leading cloud platform.<br>
<br>
As a CAR, you will take the lead in unlocking growth potential for both new and existing AWS customers. We are one of the principal sources of new pipeline that fuels the AWS engine &ndash; engaging the unengaged accounts and contacts to drive pipeline that turns into revenue. Using cutting-edge AI tools and data-driven insights, you'll identify whitespace opportunities and develop innovative strategies to reach unengaged accounts at scale. You'll be part of shaping how technology is deployed across thousands of organizations, from enabling rapid, individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals. The AWS technology stack is the backbone of some of the most innovative solutions to the world's most pressing problems.<br>
<br>
Your career path is clear. This role is designed as the entry point into AWS's North American sales organization. We don't need the perfect candidate, but we do want people who are curious, coachable, and willing to learn. We've developed hundreds of early-career professionals into full cycle sellers as Cloud Sales Representatives (CSRs), many within 18&ndash;24 months. You'll be paired with mentors and have access to structured development programs that accelerate your growth from day one.<br>
<br>
According to Gartner, AWS is the leading cloud provider in both ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible, and with the explosion of generative AI, the opportunity has never been larger. You'll be at the forefront, equipped with the most advanced AI-powered sales technology in the industry. Consider this your pit crew advantage &mdash; the tools, training, and teammates that keep you performing at your best.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner closely with Account Teams to develop a deep understanding of the primary industries, accounts, and personas within your territories &mdash; building relationships from technical admins to Line of Business executives.</li><li>Lead top-of-funnel activity: conduct high-quality account research and source net-new contacts at scale to execute high-volume prospecting, lead qualification, and opportunity generation across your assigned territories.</li><li>Drive net-new business via customer acquisition by leveraging one-to-one and one-to-many outbound campaigns, in addition to qualifying leads from marketing and partner channels.</li><li>Expand services breadth and consumption within your existing customer base via account planning and territory management.</li><li>Deliver results against input and output goals, including: contacts sourced, leads qualified, customer calls completed, meetings scheduled, and opportunities created and launched.</li><li>Leverage AI-powered sales intelligence platforms, predictive analytics, and automation tools to identify high-propensity accounts, prioritize outreach, and optimize pipeline development in Salesforce.</li><li>Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic workflows, and advanced personalization engines &mdash; you'll be on the cutting edge of how AI transforms B2B sales, continuously testing and iterating on new approaches to reach unengaged accounts.</li><li>Collaborate with teammates to share best practices, contribute to team learning, and collectively raise the bar for customer engagement.</li></ul><br>
We know great candidates don't always check every box. If you're excited about this role but your experience doesn't perfectly match, we encourage you to apply.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS 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>
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>
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) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
Mentorship &amp; 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.
<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.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent, or experience in a relevant field</li><li>2+ year(s) of experience in sales, business development, lead generation, or customer-facing roles (internships and non-traditional experience count)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>1+ years of experience in technology sales, SaaS, or cloud services</li><li>Experience with outbound prospecting tools and techniques (cold calling, social selling, email sequencing)</li><li>Experience leveraging or interest in leveraging AI tools to enhance sales workflows, research, and outreach</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, restricted stock units (RSUs), and sales incentives. 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, TX, Austin - 31.39 - 54.90 USD hourly<br>
USA, WA, Seattle - 31.39 - 54.90 USD hourly</div><p></p>

Associate Account Executive , Enterprise

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li>
<li>2 years of experience developing test automation in C++, Java or Python.</li>
<li>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in developing cloud-based storage systems.</li>
<li>Experience tuning performance and scale in large-scale distributed systems.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
<br>
<br>
As a Software Engineer within Google Cloud Storage (GCS) Resource Engineering, you will make significant, independent technical contributions to our capacity planning, resource allocation, and efficiency platforms. You will design, code, and deploy features for GCS capacity pipelines, delivering end-to-end tasks to ensure Google&rsquo;s storage infrastructure never blocks AI workloads or scaling demands. You will own medium-to-large features from design to launch, directly supporting high-visibility initiatives that guarantee predictability, zonal isolation, and separation for customers. You will collaborate with senior engineers and partner teams to build advanced capacity solvers, automated guardrails, and resource fungibility models. You will align with GCS, Site Reliability Engineering (SRE), product partners to define technical requirements, leveraging Google&rsquo;s AI/ML tools to maximize engineering velocity and sustain operational excellence.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, code, test, and deploy new features and enhancements for the GCS Resource engineering capacity planning pipelines, actively leveraging Google's AI tools and platforms to enhance productivity and innovation throughout the development life-cycle.</li>
<li>Own medium-to-large-scale features from technical design through to launch and operation.</li>
<li>Collaborate with fellow engineers, product managers, and partner teams to define project requirements and deliver on the product roadmap.</li>
<li>Contribute to the monitoring, alerting, and overall production health of the system.</li>
<li>Develop and maintain fluency with the latest internal AI tools and best practices for software engineering, proactively identify opportunities to apply AI to improve efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GCS Resource Engineering

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