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employee success lead data engineer

Salesforce

<div>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&rsquo;t a buzzword &mdash; it&rsquo;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&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce&rsquo;s Employee Success (ES) Product Management team is advancing AI-driven data initiatives to expand our data capabilities across all ES functions. A key priority is developing a robust data and AI foundation to support innovation, automation, and data-driven decision-making.
We are seeking a highly skilled Lead Data Engineer with expertise in data engineering, AI, and machine learning, along with experience in API development. Familiarity with Salesforce Data360 and Agentforce is a plus.
In this role, you will build data pipelines, metrics, analytics solutions, and Agentic AI solutions used by employees globally. You will partner with business teams to translate requirements into technical solutions, integrate data from multiple sources, and develop automated pipelines that generate actionable insights.
Responsibilities
<ul><li>Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
</li><li>Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows.
</li><li>Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
</li><li>Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
</li><li>Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services.
</li><li>Collaborate cross-functionally to implement data governance, security, and compliance best practices.
</li><li>Optimize data storage, processing, and retrieval in cloud environments, ensuring performance and scalability.
</li><li>Provide guidance on Salesforce Data360 integration and utilization.
</li><li>Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements.
</li><li>Design and develop repeatable automation frameworks supporting AI model training and inference.
</li><li>Lead review and validation of logical and physical design to align with solution architecture.
</li><li>Collaborate with data scientists to support data needs and deploy scalable models.
</li><li>Lead and collaborate with global teams across North America, EMEA, and APAC.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science or relevant work experience; 10+ years in data engineering, data modeling, machine learning, automation, and analytics. People Analytics experience is a plus.
</li><li>Proficiency with SQL, Python, Informatica IICS, and dbt.
</li><li>Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment.
</li><li>Experience designing AI-driven solutions, including RAG, vector databases, and embedding models.
</li><li>Proficiency in SQL, Bash, and Python scripting.
</li><li>Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT).
</li><li>Solid understanding of data warehousing and data modeling concepts.
</li><li>Experience integrating systems through APIs.
</li><li>Experience with AWS technologies (EC2, Aurora, Lambda, S3) preferred.
</li><li>Experience with Salesforce Data360 and Snowflake or similar platforms preferred.
</li><li>Deep understanding of data engineering concepts, database design, tools, and architecture.
</li><li>Experience collaborating with Analytics/Data Science teams.
</li><li>Excellent interpersonal skills; team-first mentality.
</li><li>Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems.
</li><li>Results-oriented, able to work with minimal supervision.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;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&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; 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&rsquo; 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&rsquo;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 &ndash; 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.</div>

Employee Success Lead Data Engineer

Envita Solutions

<div>Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always. 
Envita Solutions is seeking a Senior AI/ML Engineer (Data Science &amp; Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture. 
 
Essential Functions<ul><li>
Design and implement scalable data pipelines and ML architectures for production environments.</li><li>
Develop and deploy machine learning and generative AI models that drive measurable operational improvements.</li><li>
Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy.</li><li>
Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI).</li><li>
Apply modern ML techniques, including NLP, deep learning, and predictive analytics.</li><li>
Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities.</li><li>
Define standards for data architecture, ML operations (MLOps), and model governance.</li><li>
Champion best practices for responsible and ethical AI in sustainability-focused operations.</li><li>
Mentor and coach junior data scientists and engineers, promoting excellence and innovation.</li></ul><ul><li>
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company&rsquo;s core values, competencies, and skills.</li></ul> 
Education Qualifications<ul><li>
Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master&rsquo;s/PhD preferred).
</li></ul> 
Experience Qualifications<ul><li>
7+ years of experience in data science, AI/ML engineering, or applied machine learning
</li><li>Proven success developing and maintaining production ML models with measurable impact
</li><li>Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision.
</li><li>Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar).
</li><li>Prior exposure to sustainability, logistics, or enterprise operations is a plus.
</li></ul> 
Skills and Abilities<ul><li>
Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch).
</li><li>Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation.
</li><li>Familiar with workflow automation tools (UiPath, Power Automate, APIs).
</li><li>Strong communicator and mentor with the ability to translate complex ideas into actionable insights.
</li><li>Builds scalable, production-ready ML systems and fosters collaboration across teams.
</li>Operates effectively as both a builder and coach, driving continuous improvement. 
<li>
</li></ul> 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#EnvitaSolutions</div>

Senior AI/ML Engineer (Data Science & Automation)

Moser Consulting

<div>
 About Moser
 
 For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
 
 
 Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
 
 
 Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.
 
 Description
 
 We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.
 
 Role Responsibilities
 
 
 
 Artificial Intelligence / Machine Learning Engineering:
 
 
 
 <ul>
 <li>
 Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.
 </li>
 <li>
 Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.
 </li>
 <li>
 Implement model inference services, deployment workflows, and monitoring mechanisms.
 </li>
 <li>
 Projects may range from data ingestion and transformation to model serving and application integration.
 </li>
 <li>
 Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.
 </li>
 <li>
 Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.Implement model governance and reproducibility standards, ensuring models are versioned.
 </li>
 </ul>
 
 
 
 Data Engineering:
 
 
 
 <ul>
 <li>
 Build ingestion, transformation, and storage pipelines for analytical and ML workflows.
 </li>
 <li>
 Ensure data quality and integrity by implementing data validation and cleansing processes.
 </li>
 <li>
 Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.
 </li>
 <li>
 Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.
 </li>
 </ul>
 
 
 
 Software Engineering:
 
 
 
 <ul>
 <li>
 Write modular, testable, and maintainable codebases that follow idiomatic patterns.
 </li>
 <li>
 Build APIs, services, and components that integrate models into applications.
 </li>
 <li>
 Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.
 </li>
 <li>
 Documentation will include diagrams, reasoning, assumptions, and operational instructions.
 </li>
 </ul>
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Proven ability to foster a collaborative and positive team environment, contributing to team success.
 </li>
 <li>
 Proven ability to explain complex concepts to non-technical collaborators.
 </li>
 <li>
 Proven ability to break down requirements into clear actionable steps.
 </li>
 <li>
 Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.
 </li>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 </ul>
 Requirements
 <ul>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 <li>
 A solid understanding of statistical analysis, data modeling and data visualization techniques.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.
 </li>
 <li>
 Strong understanding of ETL/ELT fundamentals and orchestration tools.
 </li>
 <li>
 Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.
 </li>
 <li>
 Strong understanding of software engineering practices including version control, testing, module design, and code clarity.
 </li>
 <li>
 Expertise in ML, MLOps, and applied AI in production environments.
 </li>
 <li>
 Location: Indianapolis, IN. United States required.
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum 3 - 5 years of experience working with Machine Learning models.
 </li>
 <li>
 Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).
 </li>
 <li>
 Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.
 </li>
 <li>
 Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.
 </li>
 <li>
 Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.
 </li>
 <li>
 History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.
 </li>
 <li>
 Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.
 </li>
 <li>
 History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.
 </li>
 <li>
 Relevant Certifications are beneficial.
 </li>
 </ul>
 Where You'll Work
 
 You will need to be able to work a hybird/onsite schedule out of the Indianapolis, IN area. This position would sit at a client site up to 3 days a week.
 
 Salary
 
 At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it&rsquo;s a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
 
 Benefits
 
 For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don&rsquo;t just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
 
 
 Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we&rsquo;re consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that&rsquo;s not all.
 
 
 We also offer a suite of benefits designed to support and enrich our employees&rsquo; lives. These include:
 
 <ul>
 <li>
 Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
 </li>
 </ul>
 <ul>
 <li>
 Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
 </li>
 </ul>
 <ul>
 <li>
 PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
 </li>
 </ul>
 <ul>
 <li>
 Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
 </li>
 </ul>
 <ul>
 <li>
 Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
 </li>
 </ul>
 <ul>
 <li>
 Wellness Program: We promote a healthy lifestyle with our wellness program.
 </li>
 </ul>
 <ul>
 <li>
 Catered Lunches: Enjoy delicious catered lunches regularly.
 </li>
 </ul>
 
 At Moser Consulting, we don&rsquo;t just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
 
 
 Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a professional.
 
</div>

Machine Learning (ML) / Data Engineer

<div><h1 class="jobSectionHeader">About Moser</h1>
For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.
<h1 class="jobSectionHeader">Description</h1>
We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.
<h1 class="jobSectionHeader">Role Responsibilities</h1>
Artificial Intelligence / Machine Learning Engineering:
<ul><li>Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.</li><li>
Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.</li><li>
Implement model inference services, deployment workflows, and monitoring mechanisms.</li><li>
Projects may range from data ingestion and transformation to model serving and application integration.</li><li>
Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.</li><li>
Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.</li><li>
Implement model governance and reproducibility standards, ensuring models are versioned.</li></ul>
Data Engineering:
<ul><li>Build ingestion, transformation, and storage pipelines for analytical and ML workflows.</li><li>
Ensure data quality and integrity by implementing data validation and cleansing processes.</li><li>
Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.</li><li>
Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.</li></ul>
Software Engineering:
<ul><li>Write modular, testable, and maintainable codebases that follow idiomatic patterns.</li><li>
Build APIs, services, and components that integrate models into applications.</li><li>
Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.</li><li>
Documentation will include diagrams, reasoning, assumptions, and operational instructions.</li></ul>
Collaboration &amp; Communication:
<ul><li>Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.</li><li>
Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>
Proven ability to foster a collaborative and positive team environment, contributing to team success.</li><li>
Proven ability to explain complex concepts to non-technical collaborators.</li><li>
Proven ability to break down requirements into clear actionable steps.</li><li>
Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.</li><li>
Communication and collaboration: Excellent verbal and written communication skills.</li></ul>
<h1 class="jobSectionHeader">Requirements</h1>
<ul><li>Communication and collaboration: Excellent verbal and written communication skills.</li><li>
A solid understanding of statistical analysis, data modeling and data visualization techniques.</li><li>
Excellent time management and organizational skills.</li><li>
Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.</li><li>
Strong understanding of ETL/ELT fundamentals and orchestration tools.</li><li>
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.</li><li>
Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.</li><li>
Strong understanding of software engineering practices including version control, testing, module design, and code clarity.</li><li>
Expertise in ML, MLOps, and applied AI in production environments.</li></ul>
<h1 class="jobSectionHeader">Preferred Requirements</h1>
<ul><li>Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.</li><li>
Minimum 3 - 5 years of experience working with Machine Learning models.</li><li>
Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).</li><li>
Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.</li><li>
Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.</li><li>
Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.</li><li>
History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.</li><li>
Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.</li><li>
History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.</li><li>
Relevant Certifications are beneficial. 
</li></ul>
<h1 class="jobSectionHeader">Where You'll Work</h1>
Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position requires a hybrid/on-site work schedule. Must be able to work at least 3 days on-site at a local client.
<h1 class="jobSectionHeader">Salary</h1>
At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
<h1 class="jobSectionHeader">Benefits</h1>
For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.
We also offer a suite of benefits designed to support and enrich our employees' lives. These include:
<ul><li>Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.</li>
</ul><ul><li>Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.</li>
</ul><ul><li>PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.</li>
</ul><ul><li>Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.</li>
</ul><ul><li>Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.</li>
</ul><ul><li>Wellness Program: We promote a healthy lifestyle with our wellness program.</li>
</ul><ul><li>Catered Lunches: Enjoy delicious catered lunches regularly.</li>
</ul>At Moser Consulting, we don't just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

AI Engineer / Data Engineer (Indianapolis, IN / Onsite)

Ryder System

<div>Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
Job Description :
We are immediately hiring a Lead Continuous Improvement Engineer (start-up) (Remote) for our Supply Chain Solutions division. Apply here today to speak with a Recruiter about the position and perks of joining our Ryder Ever Better Team.
This position is currently accepting inquiries for potential opportunities that are available in your area today or will be in the near future. When you apply, a Ryder representative may contact you directly if an opportunity is open in your area today or when a position opens in the very near future.
<ul><li>Pay Type: Exempt / Salary paid Twice Per Month</li>
<li>Annual Salary Pay: $110,000 - $120,000 per year based on experience</li>
<li>Schedule: Shift Monday- Friday: 8:00 am- 5:00 pm (50% travel as needed)</li>
</ul>When Fortune 500 businesses and new startups need supply chain solutions, they look to our industry-leading logistics experts. At Ryder, there is more to being a supply chain professional than working on some of the nation&rsquo;s biggest brands. We make sure you are also getting the diverse experience, advancement opportunities, all from an industry-leading Fortune 500 company.
Here are a few of the many benefits when working with us:
<ul><li>Medical, Dental, Vision Benefits start at 30 Days</li>
<li>401 (K) Savings Plan with a company match</li>
<li>Discounted employee stock purchase options</li>
<li>Quality employee discounts that actually save you money on tools, cars, appliances, travel and more</li>
<li>All major holidays paid and Paid time off within your first year</li>
<li>Up to 12 weeks paid maternity leave</li>
</ul>This position supports the Ryder Continuous Improvement culture across the business by actively applying continuous improvement methods to support new and existing operations. The Lead Engineer will identify, lead and drive change within the operation through data driven CI, Engineering, and Automation efforts to deliver higher levels of performance in safety, quality, delivery, cost and growth. Effectively leverage data analytics, engineering methodologies, and all Ryder lean tools to enable root cause identification and elimination. This high influence position will interface with employees at all levels and functions across the operation. This position may manage CI resources and reports to the CI Manager/Sr. CI Manager and is closely aligned with a General Manager or Director of Operations.
Essential Functions
<ul><li>Collects data and performs statistical analysis. Maps and documents processes. Independently identifies process gaps; recommends and implements process improvement. Develop a thorough, effective, and timely continuous improvement plan to drive value for our customers (transformation plan development and execution). Drive process improvement activities to achieve tangible improvement in the key business metrics of safety, quality, delivery, cost, and employee development</li>
<li>Manages and completes high impact CI projects across the operation that lead to improved business results. Assesses CI initiatives and provides input and recommendations on future activities. Support start-ups, retrofits and expansions including pricing inputs, go-live and steady state certifications. Identify and support Automation projects. Regularly interacts with account Management and/or customer(s).</li>
<li>Demonstrate a high level of competency in wide range of engineering methods, Lean tools, and quality standards and coaches employees in the use and implementation of CI, Quality Assurance, &amp; Lean principles. Applies engineering methodologies/tools such as product slotting, studying labor standards (time studies), layouts and optimization of flow, data profiling and analysis, and resource modeling to improve distribution and/or transportation operations.</li>
<li>May supervise continuous improvement engineering and quality professionals. With guidance of manager participate in employment decisions (hire, coach) and manage performance.</li>
<li>Effective facilitation and execution Value Stream Maps &amp; Kaizen Events through all stages (A3 charter ideation / creation, pre-work identification and completion, delivery of results in Kaizen week, regular follow up and follow through on sustainment). Coach process owners on how to use lean methods to achieve operational excellence</li>
<li>Provide regular reports of data and actions to measure progress against the site objectives. Makes Inventory and/or Supply Chain strategy recommendations</li>
</ul>Additional Responsibilities
<ul><li>Design, implement, monitor and maintain the QMS based on established company and/or industry standards.</li>
<li>Implement and monitor a standardized corrective action system.</li>
<li>Support regulatory compliance and certification requirements.</li>
<li>Perform all functions related to Quality Assurance for a start-up or expansion</li>
<li>Performs other duties as assigned</li>
</ul>Skills and Abilities
<ul><li>Microsoft Office Suite skills with emphasis on Access, Excel and PowerPoint &amp; Visio expert required</li>
<li>Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) intermediate preferred</li>
<li>Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and Management Accountability Systems, Plan-Do-Check-Act (PDCA), Value Stream Mapping, Kaizen, 5S/Workplace Organization intermediate required</li>
<li>Understanding and experience in core engineering and data analysis functions (slotting, utilization, labor planning, layouts, metrics, etc.) advanced required</li>
<li>Warehouse design tools such as CAD (e.gAutoCAD); slotting (e.gSlot3D), Predetermined Motion and Time Systems and methods (e.gMOST); Warehouse Management Systems (e.gManhattan Scale), and Labor MgtSystems advanced preferred</li>
<li>Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods</li>
<li>Knowledge of material handling solutions and automation types such as: powered industrial truck (PIT) applications; racking and other storage solution designs, packaging equipment; conveyor and sortation equipment; and other automation solutions (e.gAS/RS)advanced preferred</li>
<li>Knowledge of Dedicated Services and Managed Transportation Networks</li>
<li>Knowledge of all available equipment types such as; dry van, temperature control, flat bed, other specialized equipment</li>
<li>Transportation Design Tools ie; JDA, Appian, Network Design Tools ie; Llamasoft, Transportation Management Systems ie; JDA, OTM, , Mapping Software ie; Tableau advanced preferred</li>
</ul>Qualifications
<ul><li>Bachelor&rsquo;s degree (Engineering, Business, Supply Chain) and seven (7) years or more related work experience in the Warehousing, Transportation, or Manufacturing industry required; or Master&rsquo;s degree (Industrial Engineering, Business Administration, or Supply Chain Management) and five (5) year related experience; if MBA, then undergraduate degree in Engineering.</li>
<li>Microsoft Office Suite skills with emphasis on Access, Excel and PowerPoint &amp; Visio. expert required</li>
<li>Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) intermediate preferred</li>
<li>Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and Management Accountability Systems, Plan-Do-Check-Act (PDCA), Value Stream Mapping, Kaizen, 5S/Workplace Organization intermediate required</li>
<li>Understanding and experience in core engineering and data analysis functions (slotting, utilization, labor planning, layouts, metrics, etc.) advanced required</li>
<li>Warehouse design tools such as CAD (e.g. AutoCAD); slotting (e.g. Slot3D), Predetermined Motion and Time Systems and methods (e.g. MOST); Warehouse Management Systems (e.g. Manhattan Scale), and Labor Mgt. Systems. advanced preferred</li>
<li>Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods. Knowledge of material handling solutions and automation types such as: powered industrial truck (PIT) applications; racking and other storage solution designs, packaging equipment; conveyor and sortation equipment; and other automation solutions (e.g. AS/RS). advanced preferred</li>
<li>Knowledge of Dedicated Services and Managed Transportation Networks. Knowledge of all available equipment types such as; dry van, temperature control, flat bed, other specialized equipment. Transportation Design Tools ie; JDA, Appian, Network Design Tools ie; Llamasoft, Transportation Management Systems ie; JDA, OTM, , Mapping Software ie; Tableau. advanced preferred</li>
<li>Lean Six Sigma, required</li>
<li>cPMP, ISO/QMS, preferred</li>
<li>American Production Inventory Control Society (APICS) and/or Supply Chain Logistics Certification, preferred</li>
</ul>Travel
50%
DOT Regulated: None
We want YOU to join our family made up of Proud Women and Men in Logistics who work alongside Military Reserve and Veterans we hire every day!
Apply Here with Ryder Today
Click here to see all Opportunities at Ryder: https://ryder.com/careers
EEO/AA/Female/Minority/Disabled/Veteran
\#indexempt #LI-GM #ryder #lean #engineering
Job Category: Continuous Improvement
Compensation Information :
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate&rsquo;s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:
Pay Type :
Salaried
Minimum Pay Range:
$110,000
Maximum Pay Range:
$120,000
Benefits Information:
For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Important Note :
Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.
Security Notice for Applicants:
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers .
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.
Current Employees :
If you are a current employee at Ryder, please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process.
Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
\#wd</div>

Lead Continuous Improvement Engineer

Indiana Nephrology & Internal Medicine

Join our growing specialty physician practice as a Revenue Cycle Manager, where you will lead a high-performing billing team and drive operational excellence across our multi-location revenue cycle operations. We are seeking an experienced billing leader who thrives in a fast-paced environment, excels at data analysis, and is passionate about improving processes, team performance, and financial outcomes.Key Responsibilities<ul><li>Oversee all revenue cycle functions including billing, coding, insurance collections, denial management, cash posting, and accounts receivable follow-up.</li><li>Lead, mentor, and develop a skilled billing team to ensure accuracy, accountability, and high performance.</li><li>Analyze revenue cycle data to identify trends, optimize workflows, and support key financial objectives.</li><li>Ensure timely and accurate charge entry, claims submission, payment posting, and follow-up activities.</li><li>Develop strategies to reduce denials, improve collections, and minimize unnecessary write-offs.</li><li>Collaborate with payers, providers, and internal departments to resolve escalated billing and reimbursement issues.</li><li>Prepare clear, data-driven revenue cycle reports and present insights to executive leadership and physicians.</li><li>Maintain up-to-date knowledge of Medicare, Medicaid, and commercial payer regulations.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Healthcare Administration, Business, Finance, or related field preferred.</li><li>Minimum of 5 years of healthcare billing experience in a physician practice, hospital, or insurance environment.</li><li>Demonstrated experience leading or supervising revenue cycle or billing teams.</li><li>Strong analytical and problem-solving skills with the ability to interpret complex financial and operational data.</li><li>Advanced Excel skills required; experience with Epic or other revenue cycle systems preferred.</li><li>Proven ability to drive process improvement, manage team performance, and achieve operational goals.</li></ul>Why Join Us?<ul><li>Opportunity to lead billing operations within a respected and growing specialty physician practice.</li><li>Collaborative culture with strong support from clinical, administrative, and executive leadership.</li><li>Ability to make a meaningful impact on revenue integrity, operational performance, and organizational success.</li><li>Possibility for a SIGN ON Bonus!!!!!</li></ul>If you are a results-driven revenue cycle leader ready to take the next step in your career, we encourage you to apply.Apply today and help elevate the performance of our revenue cycle operations.Pay: From $60,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>How many years of leading or supervising a billing team? </li></ul>Experience:<ul><li>healthcare billing: 5 years (Preferred)</li></ul>Work Location: In person

Revenue Cycle Manager

<div>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
Customer Success
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&rsquo;t a buzzword &mdash; it&rsquo;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&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Customer Success Manager (CSM) is a versatile expert responsible for ensuring high-value customers who purchase the Signature Success Plan achieve a significant return on their investment with our platform. This role functions as an extension of the customer&rsquo;s workforce and a trusted advisor, providing guidance and advice to customer organizations. The CSM is responsible for identifying and addressing both technical and business concerns, aligning them strategically with customer priorities, projects, and problems.
We are looking for candidates who have experience supporting customers in one or more of the following industries:
<ul><li>Health &amp; Life Sciences (HLS) &ndash; Collaborates with healthcare providers, payers, life sciences, pharmaceutical, and medical device companies to support digital health initiatives, regulatory compliance, and improved patient/member outcomes through the Salesforce platform (Direct experience with Health Cloud and/or Life Sciences Cloud strongly preferred).
</li></ul>This is an Individual Contributor position.
Your Impact
Customer Accountability and Value Alignment
<ul><li>Serve as the single point of customer accountability responsible for the delivery of all Signature deliverables, the overall customer experience, and renewal and expansion.
</li><li>Coordinate all deliverables the customer is entitled to, overseeing the experience throughout the Signature lifecycle
</li><li>Apply the correct processes to address customer needs and ensure value is delivered through the Signature offer.
</li><li>Successfully align with and manage both Business and Technical Stakeholders, focusing on aligning Business Value and Technical Goals to the Signature offer.
</li><li>Prioritize the most urgent work activities, organize tasks to avoid missing key steps, and create basic plans to focus time, taking responsibility for assigned tasks.
</li><li>Use internal resources to increase effectiveness and rely on managers or mentors for guidance on priority problems.
</li><li>Conduct enablement sessions on opportunity and case management, forecasting, pipeline hygiene, knowledge creation, and omni-channel routing
</li><li>Share best practices for sales and service process optimization, data quality, and customer experience
</li></ul>Strategic Advisory and Stakeholder Managemen t
<ul><li>Drive adoption of Sales and Service Cloud features with reps, agents, managers, supervisors, and ops teams
</li><li>Track usage metrics (opportunity updates, activity logging, forecast submissions, report usage, case resolution times, knowledge article usage, channel adoption, and CSAT scores)
</li><li>Develop and maintain strong relationships at key stakeholder levels, including cultivating executive-level relationships within customer IT and business leadership.
</li><li>Act as a trusted advisor by gaining trust through mutual goals, understanding the customer&rsquo;s business model, and applying proven solutions to their problems.
</li><li>Solidify partnership commitments and drive innovation aligned with customers' business challenges.
</li><li>Increase customer engagement with products and services and identify major political barriers to customer success.
</li><li>Partner with more experienced team members to solve complex problems and develop strategic success plans when needed.
</li><li>Conduct quarterly reviews of feature usage to drive adoption of tools like Journey Builder or Commerce Promotions, ensuring platform stability and performance.
</li><li>Identify underutilization of contracted entitlements (e.g., messaging volume or GMV tiers) and align platform features with customer priorities to increase throughput.
</li></ul>Technical Health, Adoption, and Risk Management
<ul><li>AI Literacy: Proficiency in using AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring.
</li><li>Prompt Engineering Basics: Ability to use natural-language commands to guide AI agents in retrieving accurate customer data and generating first drafts of success plans.
</li><li>AI Engagement Monitoring: Using AI-driven sentiment and intent analysis to flag early customer concerns for human intervention.
</li><li>Collaborative Learning: Actively seeking out &quot;Agentblazer&quot; training and certifications to stay current on autonomous agent capabilities.
</li><li>Learning &amp; Development: Apply product knowledge and expertise to address technical concerns, use this knowledge to ask ** effective diagnosis questions**, and align platform features with customer priorities and roadmaps.
</li><li>Proactively monitor and conduct quarterly reviews, identify trends, and provide tailored release recommendations to ensure stability, performance, and feature enhancement.
</li><li>Serve as the primary interface for major incidents (e.g., checkout failures or email deliverability drops) to protect peak revenue.
</li><li>Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management to lead and coordinate customer relationships for success and revenue opportunities.
</li><li>Form a clear plan for client engagements, communicate clearly and proactively with collaborators, and keep the customer goal central to decision-making.
</li><li>Escalate complex automation, data model, routing, or integration questions to technical resources
</li></ul>Minimum Requirements
<ul><li>Experienced business professional, preferably with 3+ years of relevant industry expertise in Customer Success, SaaS platform use, or related fields.
</li><li>Strong consulting skills and demonstrated ability to drive business value, facilitate discussions, handle objections, and influence C-level conversations.
</li><li>Possess industry-relevant expertise and begin honing skills in a relevant functional area. Should understand the broad impact of the industry on the customer&rsquo;s business.
</li><li>Excellent communication skills to articulate technical issues to diverse audiences and the ability to translate technical concepts into business terms.
</li><li>Actively seek out relevant learning activities, approach obstacles as growth opportunities, and seek experienced mentors to accelerate personal development
</li></ul>Cloud/Platform Requirements:
<ul><li>3-4 years experience supporting customers using Sales Cloud and Service Cloud.
</li><li>Working knowledge of core features:
<ul><li>Sales Cloud: Leads, Accounts, Contacts, Opportunities, Forecasting, Reports &amp; Dashboards
</li><li>Service Cloud: Cases, Knowledge, Queues, Service Console, Omni-Channel routing
</li></ul></li><li>Understanding of Sales (lead-to-cash, opportunity management, pipeline management) and Service (case management, escalation, SLA management) processes.
</li><li>Familiarity with Sales Cloud automation (workflows, process builder, flows for sales processes) and Service Cloud automation (email-to-case, web-to-case, case assignment rules, macros)
</li><li>Ability to demonstrate Lightning Sales/Service Console and mobile app
</li><li>Knowledge of common sales (territory management, lead assignment, opportunity stages) and Services (case deflection, knowledge management, multi-channel support) use cases.
</li></ul>Preferred Requirements
<ul><li>Sales Cloud Consultant and Service Cloud Consultant certifications
</li><li>Additional Salesforce product certifications are a plus (AI Associate, Administrator, Advanced Administrator, Platform App Builder, Data 360 Specialist, Agentblazer).
</li><li>Experience with Einstein for Sales (lead scoring, opportunity insights, activity capture) and Service (case classification, article recommendations, next base actions).
</li><li>Understanding of how Sales Cloud integrates with marketing automation and service tools and how Service Cloud integrates with telephony, chat, messaging, and self-service portals.
</li></ul>Note: this role is office-flexible, and the expectation is to be in-office a minimum of three (3) days per week.
Unleash Your Potential
When you join Salesforce, you&rsquo;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&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; 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&rsquo; 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&rsquo;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 &ndash; 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.&amp;#xa;&amp;#xa;The typical base salary range for this position is $123,100 - $186,300 annually. Your recruiter can share more about the specific salary range for the job location during the hiring process.&amp;#xa;&amp;#xa;There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $147,400 - $202,600 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Customer Success Manager - Core (Sales & Service) Clouds

Explore 322+ Employee success lead data engineer in Indianapolis this March. Find roles across top companies and apply now to boost your career.