We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform.

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Industry: Software Development
Company Size: 10,001+ employees

Salesforce

Savvy Admin PROD

~~To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.~~

Job Category

Software Engineering

Job Details

**About Salesforce**

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

**About The Team**

Slack is the place where work happens — and Search is at the heart of it. We're looking for experienced engineers to join our Core Infrastructure organization, where you'll help design, develop, and maintain the information retrieval systems that power Slack Search and a wide range of product experiences.

Our search stack is central to what makes Slack an indispensable store of organizational knowledge — enabling millions of users to instantly find messages, channels, people, files, and business-critical information across their workspaces. It's also foundational to our generative AI efforts, helping build intelligent products that leverage the full breadth of your company's knowledge graph.

If you're excited about pushing the boundaries of information retrieval, building systems that scale to meet the demands of the world's most collaborative teams, and doing it all in an environment where your work directly shapes the product — this is the role for you.

We build our infrastructure on reliable, battle-tested tools our team knows and trusts: Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these is a strong plus — but solid experience building and operating robust distributed search systems using other languages and cloud technologies is a great substitute.

We're a tight-knit, collaborative team who genuinely enjoy working together. You'll partner closely with infrastructure and machine learning engineers to evolve our systems, and collaborate with product engineers and managers to ensure our infrastructure meets the needs of our users.

Slack has a positive, diverse, and supportive culture. We look for people who are curious, inventive, and committed to being a little better every single day. In our work together, we aim to be smart, humble, hardworking — and above all, collaborative.

**What You Will Be Doing**

- Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack’s search infrastructure.

- Partner with product engineering to conceptualize and ship new features for our large (and growing!) user base.

- Collaborate with team members to ensure high availability and reliability of a distributed search system at massive scale.

- Own team features and systems end-to-end, defining their long-term health while proactively improving the health of surrounding systems.

- Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters and environments.

- Continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and peak search performance.

- Support our skilled operations team in triaging and resolving production issues quickly and effectively.

- Raise the bar on engineering standards, tooling, and processes across the team.

- Build and ship high-quality, production-grade software using modern engineering practices — with AI as a core part of your development workflow.

- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

- Contribute to building and maintaining shared system context: an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

- Critically evaluate code (human- or AI-generated) for correctness, quality, security, and performance.

**You may be a fit for this role if you:**

- Have 4+ years of applicable software engineering experience.

- Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, MapReduce, or EMR.

- Have hands-on experience with Solr, Elasticsearch, Lucene, or other search technologies.

- Are familiar with infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes.

- Are proficient with functional or imperative programming languages — e.g., PHP, Python, Ruby, Go, C, or Java.

- Have a track record of building high-availability, performant, and scalable systems that handle large data volumes across multiple clusters and geographic regions.

- Have experience planning, implementing, and deploying software migrations and upgrades in production environments.

- Can contribute meaningfully to technical architecture discussions and help drive sound technical decisions within your team.

- Are a strong communicator — able to explain complex technical concepts clearly to designers, support staff, and fellow engineers.

- Possess solid computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.

- Bring a genuine, demonstrated AI-first approach to engineering — using AI tools to move faster, build fluency across the stack, and contribute beyond your core specialty.

- Have experience integrating AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) into your development workflow.

- Have advanced prompt engineering skills — able to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

**Bonus Points**

- You've built large-scale data pipelines professionally and can write clean, elegant code in Java, Scala, and/or SQL, with hands-on exposure to Hadoop/Spark.

- You have experience with text mining, NLP, or natural language parsing.

- You've contributed to relevance tuning, ranking systems, or query understanding.

- You have familiarity with vector search, dense retrieval, or embedding-based approaches to information retrieval.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and ~~be your best ~~, and our AI agents accelerate your impact so you can ~~do your best ~~. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Software Engineer II, Search & Data Infrastructure -Slack

Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.

Industry: Software Development
Company Size: 10,001+ employees

Workday

**Your work days are brighter here.**

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

**About The Team**

As Workday accelerates its strategic evolution toward a consumption-based pricing model, the Platform Consumption Console (PCC) team is building the critical infrastructure to make it happen. We are the central nervous system for usage data across the enterprise. By engineering seamless data ingestion pipelines, pinpoint-accurate billing calculations, and transparent customer-facing controls, PCC empowers Workday to confidently launch flexible, usage-based products—like Workday Agents—that will drive the next generation of our global business growth.

**About The Role**

As a Data Scientist, you'll lead cross-functional data science efforts to understand business requirements and design, build, and implement innovative solutions that enhance statistical modeling, measure value delivery and inform product decisions.

The bulk of the work will be in machine learning (ML) modeling, management and problem analysis, data exploration and preparation, data collection and integration and operationalization.

Ground-Floor Enterprise Impact: You are joining at a pivotal inflection point. PCC is rapidly transitioning from a localized billing tool into a core piece of Workday’s enterprise infrastructure. The work you do here will directly shape how Workday monetizes its products for years to come.

Massive Technical Scale: This is not a maintenance role. You will tackle complex, high-stakes engineering and product challenges—from orchestrating the ingestion of massive daily usage metrics and ensuring zero-defect financial ledgers, to building intuitive, high-visibility dashboards for our enterprise customers.

A "Startup Within a Giant" Culture: We are transitioning to a highly focused, domain-driven platform model. For builders who want to define strategy, establish new technical standards, and see the immediate impact of their work, this is the place to be.

**About You**

Basic Qualifications:

- 5+ years of hands-on experience in Data Analysis and visualization.

- 5+ years of experience programming in Python, R, and SQL

Other Qualifications:

-  Machine Learning and Data Science Knowledge/Skills

-  Substantial experience in one or more of the following commercial/open-source ML framework/tools: Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow.

-  Substantial expertise in solving propensity to buy, segmentation, next-likely purchase/tactic, time series forecasting, churn and retention analysis, text analytics problems is preferable.

-  Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, etc.

-  Substantial coding knowledge and experience in one or more languages: for example, Python/Jupyter, R, SAS, Scala, Excel, MATLAB, SPSS, C++, etc. Exposure to other programming languages, such as Java, Go is a plus.

-  Strong experience with popular database programming languages including SQL, PL/SQL for relational databases is required, exposure to non-relational databases such as NoSQL/Hadoop-oriented databases such as MongoDB, Cassandra, others is a plus.

-  Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Kafka is a plus.

-  Knowledge of SaaS business preferred.

-  Experience in the B2B software industry is preferred.

-  Degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field is preferred or equivalent on-the-job experience. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.

**Workday Pay Transparency Statement**

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.GA.Atlanta

Primary Location Base Pay Range: $130,000 USD - $195,000 USD

Additional US Location(s) Base Pay Range: $123,500 USD - $219,400 USD

**Our Approach to Flexible Work**

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply **spend at least half (50%) of our time each quarter in the office or in the field ** with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

**Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!**

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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Data Scientist - AI Platform

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