The world’s leading CRM provider, is revolutionizing business with AI, Data, and CRM solutions. As part of Salesforce, Slack is the collaboration hub that helps teams work more efficiently. We are dedicated to building scalable, resilient data platforms that power analytics and decision-making for our customers.

🚀 Join Slack's Generative AI Revolution! 🌟Position: Machine Learning Engineer - Retrieval-Augmented Generation (RAG) Location: San Francisco, CA (Remote options available) Salary: $172K/yr - $384.1K/yr Type: Full-Time At Slack, we're transforming the future of business with cutting-edge AI and machine learning! Join us as a Machine Learning Engineer in the RAG team and help develop the next-gen AI services used by millions of people every day.You’ll play a critical role in shaping the future of AI-powered agents, working on innovative generative AI platforms and building scalable RAG technologies. Dive into sophisticated knowledge graphs, deep learning systems, and LLM algorithms as you drive impactful changes in the AI landscape.<h3> </h3><h3>What You'll Do:</h3>🔧 Design &amp; Scale powerful RAG services supporting thousands of tenants 🔄 Optimize Systems for performance, automation, and root cause analysis 🧑‍💻 Collaborate with Experts across teams to build impactful features 🚀 Innovate &amp; Lead in AI product development for millions of users<h3> </h3><h3>Required Skills:</h3><ul><li>10+ years of machine learning engineering experience</li><li>Expertise in NLP, LLMs, and generative AI</li><li>Hands-on with scalable systems, PyTorch, TensorFlow, Spark, and Kafka</li><li>Experience with vector databases and retrieval systems</li></ul><h3> </h3><h3>Preferred Skills:</h3><ul><li>Knowledge of conversational AI, Bayesian methods, and search algorithms</li><li>Experience working with unstructured and graph data</li></ul><h3> </h3><h3>Why Slack?</h3><ul><li>Work on AI systems with real-world impact</li><li>Collaborative &amp; inclusive environment with a focus on work-life balance</li><li>Competitive salary, equity, and amazing benefits</li></ul>🌍 Apply Now and shape the future of AI with Slack!

Machine Learning Engineer, RAG - San Francisco, CA

🌟 Now Hiring: Software Engineer (LMTS/SMTS) – Join Slack’s Product Security Team! 🌐 🔐 Shape the future of secure collaboration at scale.Slack is looking for a seasoned software engineer to help lead the design, development, and implementation of secure-by-default tools and libraries used across our platform. Join a world-class team focused on authentication, authorization, and cryptography — and build frameworks that keep millions of users safe while enhancing developer experience. As a Lead or Senior Engineer, you will: ✅ Set technical direction and mentor other engineers ✅ Build security-first frameworks &amp; tools used org-wide ✅ Partner with Product &amp; Program Managers on scalable, secure development ✅ Communicate risks and secure design patterns internally and externally 💼 What you bring: ✔ 5+ years in software development ✔ Strong grasp of security best practices (OWASP, SANS, etc.) ✔ Cross-platform experience (iOS, Linux, Windows, etc.) ✔ Familiarity with Amazon EC2 &amp; containerized deployments ✔ Strong leadership, project planning, and mentoring skills💰 Salary Range (WA): $157,600–$306,600 💼 Full-time | Bellevue, WA | Salesforce/Slack | Product Security Foundations👉 Apply now and help make the secure path the easiest one for every Slack engineer.

Software Engineer (LMTS/SMTS)

<h2>Machine Learning Engineer, RAG</h2>Slack – Palo Alto, CA 💼 Full-time | 💰 $172K–$384.1K/year <h3>About Slack (a Salesforce Company):</h3>Slack, a product of Salesforce, is where the future works. We help teams collaborate smarter and faster by connecting people, apps, and data—all in one place. As part of Salesforce, we lead with trust, innovation, and equality, building the future with AI + Data + CRM. If you're passionate about using cutting-edge technology to make work more human and meaningful, we want you on our team. <h3>Role Overview:</h3>Slack is seeking a Machine Learning Engineer to join our Retrieval-Augmented Generation (RAG) team, working at the frontier of generative AI. You will help shape the next generation of intelligent agents by designing and scaling advanced RAG services, knowledge graphs, and large language model (LLM)-powered systems.This is a high-impact role for builders who thrive at the intersection of AI innovation, scalability, and user experience, and want to see their work in the hands of millions. <h3>What You’ll Do:</h3><ul><li>Architect, build, and scale RAG services that support thousands of users and integrations.</li><li>Drive performance optimization, automation, and root cause analysis for AI-driven systems.</li><li>Collaborate across teams—PMs, architects, data scientists, and AI researchers—to develop and deploy powerful ML/AI features.</li><li>Participate in on-call rotations and help solve mission-critical issues.</li><li>Mentor fellow engineers, lead large-scale projects, and contribute to evolving ML best practices.</li><li>Push the envelope of creativity: What if we communicated with color as well as words?</li></ul> <h3>What We're Looking For:</h3><h4>Required:</h4><ul><li>10+ years of experience in ML engineering or building AI systems.</li><li>Deep knowledge of NLP, LLMs, and prompt engineering.</li><li>Expertise in Python, Scala, Java, or similar languages.</li><li>Experience with ML frameworks (e.g., PyTorch, TensorFlow, Keras).</li><li>Hands-on experience with distributed systems (Kafka, Spark, Hadoop).</li><li>Experience with MLOps tools (Airflow, Dagster, Luigi).</li><li>Strong background in algorithms, data structures, and system design.</li><li>Bachelor's degree in Computer Science or related field (or equivalent experience).</li></ul><h4> </h4><h4>Preferred:</h4><ul><li>Experience with retrieval systems, vector databases, and embedding techniques.</li><li>Background in conversational AI and Bayesian methods.</li><li>Passion for solving previously unsolved AI problems.</li><li>Collaborative mindset and experience across technical and business teams.</li></ul><h3> </h3><h3>Why Join Slack:</h3><ul><li>Be part of a trailblazing AI team building tools that change how the world works.</li><li>Competitive salary + performance incentives + equity.</li><li>Comprehensive benefits and wellness programs.</li><li>Inclusive culture and purpose-driven mission.</li><li>Work with a global team of innovators and change-makers.</li></ul><h3> </h3><h3>Compensation:</h3>$172,000 – $384,100/year (based on experience and location) + equity, bonuses, and benefits. Explore our benefits → <a href="https://www.salesforcebenefits.com" rel="noopener noreferrer" target="_blank">www.salesforcebenefits.com</a><h3> </h3><h3>Equal Opportunity:</h3>At Slack and Salesforce, we are committed to equality and inclusion. All qualified applicants will receive consideration without regard to race, gender identity, age, disability, or veteran status.<h3> </h3><h3> </h3><h3>✅ Ready to Build the Future with AI?</h3>🚀 Apply Now — and shape the future of work with us! Let your code think bigger. Join the team that's redefining productivity.

Machine Learning Engineer, RAG

<h3>Job Title:</h3>Senior Manager, Software Engineering – Core Mobile<h3>Location:</h3>Remote (New York City Metropolitan Area)<h3>Job Type:</h3>Full-time <h3>About Slack (a Salesforce Company):</h3>Slack is where the future works. As part of Salesforce, we help businesses transform how teams communicate by bringing people, apps, and data together in one place. Our mission is to make people’s working lives simpler, more pleasant, and more productive. We are a customer company built on AI + Data + CRM, and we’re looking for bold, inventive leaders who believe in business as a force for good.<h3> </h3><h3>Role Overview:</h3>We are looking for an experienced and strategic Senior Manager of Software Engineering to lead our Core Mobile team. This team builds and enhances the Slack mobile experience, ensuring users can be productive from anywhere. You will manage a team of iOS and Android engineers and play a key role in delivering reliable, high-quality mobile features that span across our core product, admin, trust, and growth initiatives.<h3> </h3><h3>Key Responsibilities:</h3><ul><li>Lead and manage a cross-functional team of mobile engineers (iOS and Android).</li><li>Build a best-in-class mobile experience tailored to how users work on the go.</li><li>Drive technical vision, roadmap planning, and prioritization across five sister teams.</li><li>Foster a collaborative, inclusive, and high-performance team culture.</li><li>Mentor and coach engineers for career development and performance growth.</li><li>Ensure cross-functional alignment with product, design, and other engineering teams.</li><li>Advocate for clean architecture, scalability, and maintainability in mobile codebases.</li><li>Make data-informed decisions and measure impact through tangible results.</li></ul><h3> </h3><h3>Qualifications:</h3><ul><li>Bachelor's degree in Computer Science, Engineering, or related field—or equivalent experience.</li><li>Proven experience leading engineering teams focused on mobile development.</li><li>Hands-on experience managing both iOS and Android engineering efforts.</li><li>Strong organizational skills with the ability to drive alignment in a fast-paced environment.</li><li>Excellent communication skills with the ability to influence diverse technical and non-technical stakeholders.</li><li>Demonstrated experience working with horizontal mobile features across large-scale products.</li></ul><h3> </h3><h3>Why Join Us:</h3><ul><li>Be part of a mission-driven company with a vibrant and supportive culture.</li><li>Work on products used by millions to stay connected and productive.</li><li>Competitive salary, equity, and benefits package.</li><li>Opportunity to grow your leadership in a high-impact mobile environment.</li></ul><h3> </h3><h3>Compensation:</h3>The base salary range for this role depends on location and experience and can vary from $167,300 to $276,100 annually. Additional incentive compensation and equity may be provided.<h3> </h3><h3>Equal Opportunity Employer:</h3>Salesforce and Slack are committed to creating a diverse workplace and are proud to be equal opportunity employers. All qualified applicants will receive consideration without regard to race, religion, gender identity, age, or other protected status.

Reposted :Senior Manager Software Engineering, Core Mobile - (Slack)

<h3>✅ Quick Overview</h3>Role: Senior Manager, Software Engineering – Core Mobile Company: Slack (Salesforce) Location: Atlanta, GA (likely flexible hybrid or remote) Team Focus: Leading horizontal mobile platform work across Core Product, Admin &amp; Trust, and Growth initiatives. Scope: Drive feature delivery, cross-team collaboration, and people leadership for a key user-facing area of the app.<h3> </h3><h3>🛠️ Key Responsibilities</h3><ul><li>Lead and grow a team of mobile engineers across iOS &amp; Android</li><li>Prioritize work across 5+ stakeholder teams</li><li>Align team goals with org-wide strategy</li><li>Coach and mentor engineers for both technical and career growth</li><li>Build for scale and mobile performance while staying user-obsessed</li><li>Promote inclusive, high-performing engineering culture</li><li>Represent team priorities and status to leadership and broader engineering org</li></ul><h3> </h3><h3>📌 Requirements (Must-Haves)</h3><ul><li>Strong technical leadership in mobile development, especially with both iOS &amp; Android teams</li><li>Experience managing complex stakeholder relationships (Product, Trust/Security, etc.)</li><li>Highly organized and decisive, especially in dynamic, fast-paced environments</li><li>Skilled communicator across technical and non-technical audiences</li><li>Understanding of horizontal teams — platform services, SDKs, mobile infra</li><li>Prior hands-on experience or understanding of mobile engineering practices (CI/CD for mobile, app store cycles, native code reviews, etc.)</li></ul><h3> </h3><h3>🌟 Nice-to-Haves</h3><ul><li>Experience in scaling mobile apps used by millions</li><li>Passion for building tools and features that enhance user productivity</li><li>Background working in consumer + enterprise hybrid app contexts</li><li>Exposure to performance optimization or mobile observability</li></ul><h3> </h3><h3>🔧 How to Position Yourself</h3>If you’re planning to apply or want to tailor your resume/LinkedIn, here’s how to stand out:<ul><li>Leadership Focus: Highlight your work leading diverse, cross-functional mobile teams. If you’ve managed both Android and iOS engineers, that’s huge.</li><li>Impact Storytelling: Detail projects where your leadership tangibly improved app performance, engagement, or release velocity.</li><li>Process Design: Emphasize your work implementing agile processes, mobile release management, or developer experience improvements.</li><li>Strategic Thinking: Show how you’ve balanced technical debt, feature delivery, and user experience across stakeholders.</li><li>Mobile Platform Insight: Reference experience in building reusable components, modular architectures, or SDKs used across teams.</li></ul>

Senior Manager Software Engineering, Core Mobile (Slack)

Job Title: Senior Manager, Web Growth Product Manager Company: Slack (part of Salesforce) Location: Seattle, WA (Remote options available) Job Type: Full-time Salary Range: $155,400 - $213,800 (Based on location and experience) <h3>About the Job:</h3>As a Senior Manager, Web Growth Product Manager at Slack, you will be responsible for shaping the web and content strategy. Your role will involve driving innovation to improve signup conversion rates, enhancing revenue, and optimizing the customer journey. This includes collaborating with various teams (marketing, design, copy, and development) to create and execute comprehensive website strategies that increase awareness, customer acquisition, and product adoption.You will need to be a strategic thinker with a strong execution ability, leveraging both quantitative and qualitative data to optimize the user experience. <h3>Key Responsibilities:</h3><ul><li>Develop User Insights:</li><li class="ql-indent-1">Conduct research, journey mapping, and testing (e.g., A/B testing via Optimizely).</li><li class="ql-indent-1">Synthesize and present user research findings to stakeholders and cross-functional teams.</li><li class="ql-indent-1">Use data to develop integrated digital strategies.</li><li>Define Strategy:</li><li class="ql-indent-1">Advocate for the end-user, understanding their needs and desires.</li><li class="ql-indent-1">Develop strategic documentation, including competitive analysis, personas, and user journeys.</li><li class="ql-indent-1">Curate content to be used across channels.</li><li>Measure Success:</li><li class="ql-indent-1">Analyze key performance metrics on a monthly and quarterly basis.</li><li class="ql-indent-1">Review page performance and user behavior to identify improvement areas.</li><li class="ql-indent-1">Partner with the Experimentation team to apply learnings and improve results.</li></ul> <h3>Requirements:</h3><ul><li>Experience:</li><li class="ql-indent-1">7+ years in developing integrated strategies.</li><li class="ql-indent-1">Expertise in applying statistics, experimentation, and modeling to business problems.</li><li class="ql-indent-1">Strong experience in conversion rate optimization and performance marketing.</li><li class="ql-indent-1">Proven skills in user research, synthesis, and creating strategy documentation.</li><li>Skills &amp; Tools:</li><li class="ql-indent-1">Proficient in UserTesting, Google Analytics, Google Tag Manager (or similar tools).</li><li class="ql-indent-1">Ability to generate strategic documentation (personas, user journeys, content strategy).</li><li class="ql-indent-1">Knowledge of content types and how to align them with appropriate channels.</li><li>Preferred:</li><li class="ql-indent-1">International experience in a similar role.</li><li class="ql-indent-1">Agency experience.</li></ul> <h3>Compensation &amp; Benefits:</h3><ul><li>Salary Range (Washington &amp; Illinois-based roles): $155,400 - $213,800.</li><li>Other benefits include incentive compensation, equity, health benefits, and more (check Salesforce benefits website).</li></ul> <h3>Why Slack &amp; Salesforce?</h3>At Slack, we inspire the future of business with AI, data, and CRM. As part of Salesforce, we believe in driving business for good and empowering you to blaze new trails in your career. We foster a culture of equality, offering opportunities for personal and professional growth. Salesforce is committed to diversity and inclusion, and equal pay, ensuring that everyone can thrive. <h3>Equal Employment Opportunity:</h3>Slack and Salesforce are equal opportunity employers. They welcome applicants from all backgrounds and strive to create a diverse and inclusive work environment. <h3>How to Apply:</h3>If you are passionate about digital strategy, web growth, and user experience, apply to be a part of this innovative and impactful team!

Senior Manager, Web Growth Product Manager 

Job Title: Search Relevance ML Engineer/Data Scientist - Lead Location: San Francisco, CA (Hybrid/Remote options available)Job Category: Software Engineering About the Role: We are seeking an experienced and highly skilled Search Relevance ML Engineer/Data Scientist - Lead to join our Search Relevance team. The ideal candidate will have a strong background in Machine Learning, Information Retrieval, Natural Language Processing (NLP), and AI-driven search technologies. You will play a key role in developing and optimizing search relevance features to enhance the user experience across our platform, ensuring users receive the most accurate and contextually relevant search results. Responsibilities:<ul><li>Design, develop, and deploy large-scale, production-grade search relevance models to enhance the quality and effectiveness of search experiences.</li><li>Develop and implement techniques to improve relevance ranking, personalization, and query understanding.</li><li>Analyze user behavior and search interaction patterns to identify opportunities for improving search relevance.</li><li>Conduct A/B testing and performance evaluation to measure the impact of new features and iterate based on data-driven insights.</li><li>Collaborate closely with cross-functional teams, including engineering, product, UX, and data science, to create scalable search solutions.</li><li>Implement AI-driven search solutions, leveraging Large Language Models (LLMs), Learning to Rank (LTR), and Retrieval-Augmented Generation (RAG).</li><li>Work with large-scale structured and unstructured data to enhance search algorithms.</li><li>Build efficient pipelines for data processing, feature extraction, and model training using modern ML frameworks.</li></ul> Required Skills &amp; Qualifications:<ul><li>8+ years of hands-on experience in Machine Learning, Search Relevance, AI, NLP, and Recommendation Systems.</li><li>Strong proficiency in Python and Java for machine learning model development and productionization.</li><li>Expertise in ML frameworks such as TensorFlow, PyTorch.</li><li>Hands-on experience with cloud-based AI solutions (AWS SageMaker, Amazon Bedrock, GCP AI, or Azure ML).</li><li>Deep understanding of search ranking, indexing, query understanding, and information retrieval techniques.</li><li>Experience in A/B testing, experiment design, and metric definition to evaluate model performance.</li><li>Strong knowledge of Object-Oriented Design, Algorithms, and Data Structures.</li><li>Experience deploying LLM-based applications and fine-tuning models for enterprise-scale solutions.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul> Preferred Skills:<ul><li>Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related field.</li><li>Experience with search platforms such as Elasticsearch, Solr, Lucene.</li><li>Familiarity with Hadoop, Spark, Hive, or Pig for large-scale data processing.</li><li>Experience working in Agile development environments with Test-Driven Development (TDD).</li><li>Understanding of usability and UX principles for search experiences.</li><li>Prior experience building SaaS applications with AI-driven search capabilities.</li></ul> Compensation &amp; Benefits:<ul><li>Competitive salary range: $200,800 - $276,100 (CA-based roles)</li><li>Performance-based incentive compensation, equity, and benefits</li><li>Health, dental, and vision insurance</li><li>401(k) with company matching</li><li>Professional development opportunities</li><li>Hybrid/Remote work flexibility</li></ul> Join us in shaping the future of search relevance with cutting-edge AI and ML-driven solutions! Apply today to be part of a dynamic and innovative team. Apply Here

Search Relevance ML Engineer/Data Scientist - Lead

<h3>Job Description: Staff Software Engineer, Backend (Product Security) - Slack</h3>Company: Slack (a Salesforce company) Location: Texas, United States (Remote) Salary Range: $192,200 - $306,600 per year + benefits &amp; incentives Job Type: Full-time <h4>About the Role:</h4>Slack’s Product Security Foundations (PSF) group is seeking a Staff Software Engineer, Backend (Product Security) to develop secure-by-default libraries, tools, and frameworks for Slack engineers. This role focuses on authentication, authorization, cryptography, and security automation, ensuring a frictionless yet highly secure development process. <h4>Responsibilities:</h4><ul><li>Lead the architecture, design, and implementation of authentication, authorization, and cryptographic security at Slack.</li><li>Collaborate with Engineering and Technical Program Managers to define security roadmaps and strategies.</li><li>Partner with cross-functional teams and leadership to drive security awareness and best practices.</li><li>Conduct security training and technical demonstrations for engineering teams.</li><li>Automate security processes where appropriate to enhance scalability and efficiency.</li><li>Identify and address security risks in Slack’s development ecosystem.</li></ul> <h4>Requirements:</h4><ul><li>7+ years of experience in software development and security engineering.</li><li>Strong expertise in software engineering best practices and secure coding principles.</li><li>Proficiency in multiple programming languages (Python, Java, Go, or similar).</li><li>Experience with Amazon Elastic Compute Cloud (EC2) and AWS security frameworks.</li><li>Strong background in authentication, authorization, and cryptographic protocols.</li><li>Proven ability to design and operate security services at scale.</li><li>Experience leading security projects and influencing technical direction across teams.</li></ul> <h4>Why Join Slack?</h4><ul><li>Work in a high-impact security role, protecting millions of users.</li><li>Join a collaborative and innovative security team.</li><li>Competitive salary, equity, and benefits package.</li><li>Be part of Salesforce’s broader mission to improve business and security through AI, data, and CRM.</li></ul> Slack (Salesforce) is an equal opportunity employer committed to diversity, inclusion, and accessibility.

Staff Software Engineer, Backend (Product Security) - Slack 

<h1>Senior Software Engineer, Data Orchestration (Airflow) - Slack</h1>Location: Remote (Chicago, IL preferred) Employment Type: Full-time Salary Range: $184,000 - $253,000 (plus equity and benefits) <h2>About Slack (Salesforce)</h2>Slack, a Salesforce company, is a leading platform for team collaboration, empowering businesses with AI, data, and CRM capabilities. We process 65PB+ of data, 900B+ records per day, and maintain a high-throughput analytics system that supports millions of users worldwide. <h2>Role Overview</h2>We are seeking a Senior Software Engineer, Data Orchestration (Airflow) to enhance and maintain our real-time analytics and data ingestion infrastructure. You will work with OLAP databases, large-scale ETL pipelines, and orchestration tools like Apache Airflow to ensure efficient, scalable, and reliable data workflows. <h2>Key Responsibilities</h2><ul><li>Develop and maintain real-time analytics and low-latency data access layers using OLAP solutions (e.g., Apache Pinot, Apache Druid).</li><li>Optimize end-to-end data workflows, improving pipeline efficiency and usability for data users.</li><li>Enhance data quality and reliability by implementing robust monitoring and failure detection.</li><li>Lead technical initiatives, collaborating with cross-functional teams to improve Slack’s data platform.</li><li>Mentor junior engineers, drive best practices, and contribute to team growth.</li><li>Participate in on-call rotations, handling system escalations and automated alerts.</li></ul> <h2>Required Qualifications</h2><ul><li>5+ years of experience in data engineering or data infrastructure.</li><li>Hands-on experience with Apache Airflow or similar orchestration tools.</li><li>Experience with OLAP databases (e.g., Apache Pinot, Apache Druid) for real-time analytics.</li><li>Strong background in cloud infrastructure (AWS preferred).</li><li>Expertise in building large-scale ETL pipelines and big data architectures.</li><li>Proficiency in Python, Java, or Scala and familiarity with Chef, Terraform.</li><li>Experience with Docker, Kubernetes, AWS ECS/EKS for managing distributed microservices.</li><li>Strong CI/CD, automation, and operational excellence skills.</li><li>Excellent communication skills with the ability to collaborate across teams and explain complex concepts.</li></ul> <h2>Preferred Qualifications</h2><ul><li>Experience working in high-scale, data-intensive environments.</li><li>Ability to quantify high-impact initiatives, break them down, and drive execution.</li><li>Strong problem-solving mindset with a passion for data-driven decision-making.</li></ul> <h2>Why Join Slack?</h2><ul><li>Innovate at scale: Work on some of the world’s most complex and high-volume data systems.</li><li>Competitive salary, equity, and benefits with long-term career growth.</li><li>Remote-friendly role with opportunities to collaborate across global teams.</li><li>Be part of a diverse and inclusive team at Salesforce, a leader in AI-driven business solutions.</li></ul> <h2>How to Apply</h2>If you're passionate about big data, real-time analytics, and scalable data orchestration, apply today to shape the future of Slack’s data infrastructure

Sr. Software Engineer, Data Orchestration (Airflow) - Slack 

<h1>Senior Software Engineer, Data Orchestration (Airflow) – Slack</h1>📍 Location: Remote (Seattle, WA) 💼 Job Type: Full-time 💰 Salary Range: $184,000 – $253,000 (based on location and experience) <h2>About Salesforce &amp; Slack</h2>Salesforce, the world’s leading CRM provider, is revolutionizing business with AI, Data, and CRM solutions. As part of Salesforce, Slack is the collaboration hub that helps teams work more efficiently. We are dedicated to building scalable, resilient data platforms that power analytics and decision-making for our customers. <h2>About the Role</h2>Slack’s Data Orchestration Team is seeking a Senior Software Engineer to develop and enhance our real-time data processing and orchestration systems. Our team is responsible for managing 65PB+ of storage, processing ~900B records daily, and maintaining 400+ ETL pipelines and 1300+ Airflow DAGs. As we continue to scale, we need a highly skilled engineer to optimize data ingestion, workflow orchestration, and analytics solutions. <h2>Responsibilities</h2><ul><li>Develop &amp; maintain real-time analytics and low-latency data access layers using modern OLAP solutions.</li><li>Optimize workflow automation for data ingestion, transformation, and orchestration processes.</li><li>Ensure high data quality &amp; reliability through monitoring, validation, and failure detection.</li><li>Collaborate with cross-functional teams to enhance data infrastructure scalability.</li><li>Design &amp; implement scalable services to improve data pipeline efficiency.</li><li>Lead &amp; mentor other engineers, fostering a culture of excellence and best practices.</li></ul> <h2>Qualifications</h2>✅ 5+ years experience in data engineering or infrastructure with a focus on large-scale systems. ✅ Expertise in Airflow or similar workflow orchestration tools. ✅ Experience working with cloud infrastructure (AWS preferred). ✅ Strong background in ETL pipeline development, data processing, and big data frameworks. ✅ Proficiency in Python, Java, Scala, or equivalent programming languages. ✅ Experience with OLAP solutions like Apache Pinot or Apache Druid (preferred). ✅ Familiarity with Docker, Kubernetes, Terraform, and cloud-native deployment tools. ✅ Ability to troubleshoot, optimize, and scale data processing systems. ✅ Strong problem-solving skills and a passion for driving data-driven decisions. <h2>Why Join Slack?</h2>🚀 Work with cutting-edge big data technologies at massive scale. 🌍 Fully remote role with a globally distributed team. 📈 Competitive compensation with equity, incentives, and benefits. 🎓 Career growth &amp; mentorship opportunities within Salesforce. ⚖️ Commitment to diversity, inclusion, and equal opportunities. 🔗 Apply today and be part of Slack’s next generation of data innovation!

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Machine Learning Engineer, RAG - San Francisco, CA

Software Engineer (LMTS/SMTS)

Machine Learning Engineer, RAG

Reposted :Senior Manager Software Engineering, Core Mobile - (Slack)

Senior Manager Software Engineering, Core Mobile (Slack)

Senior Manager, Web Growth Product Manager

Search Relevance ML Engineer/Data Scientist - Lead

Staff Software Engineer, Backend (Product Security) - Slack

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