Jobs in the United States

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Added 3 mins ago
Senior AI Platform Engineer
HP
Spring, TX
Added 4 mins ago
PE
Accounting Intern (Summer 2027)
Pattern Energy Group LP
San Francisco, CA
- $28 to $30 USD / hour
Exposure to tools such as Power Query, Power BI, Power Automate, Python, SQL are a plus but not required.
Added 5 mins ago
Senior Associate - Full-Stack AI Engineer
New York Life Insurance Co
New York, NY
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
Added 5 mins ago
Senior Associate - Full-Stack AI & Data Engineer
New York Life Insurance Co
New York, NY
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
Added 5 mins ago
Senior Associate - Full-Stack AI Engineer
New York Life Insurance Co
New York, NY
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
Added 6 mins ago
AI/ML Imaging Data Scientist
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United States
…modern AI-assisted development tools. Preferred skills include Python, Git, GitLab, Docker, shell scripting, and…
Added 6 mins ago
Wind Turbine MultiBody Simulation Lead Engineer
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Added 7 mins ago
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Added 7 mins ago
Artificial Intelligence/Machine Learning (AI/ML) Capability Engineering Team Lead
Merck
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Added 13 mins ago
Systems Integration Tester
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Remote, United States
Knowledge of various programming languages such as C#, Java, Python, etc.
Added 13 mins ago
Principal Engineer Software (Device Security - Generative AI Back End)
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Integrate generative AI capabilities to automate routine coding tasks and improve developer productivity for SDLC.
Added 16 mins ago
Specialist II TIS Application Observability
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Added 16 mins ago
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Added 17 mins ago
TO
DATABASE ADMINISTRATOR
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Cary, NC
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Added 17 mins ago
Network Engineer - Collaboration & Enterprise Connectivity
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Denver, CO · San Francisco, CA · Los Angeles, CA · Chicago, IL · NY · Seattle, WA
Modernize network and collaboration operations by automating repeatable work through Python, vendor CLIs, APIs, and AI tools; establish standards and mentor team members so production…
Added 17 mins ago
Senior Software Engineer
KBR Wyle Services, LLC
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Demonstrates software developed using C++, C, Python, or similar programming languages.
Added 17 mins ago
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Added 17 mins ago
Intern - Systems Engineer (Spring 2027)
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Added 18 mins ago
Senior Full Stack GenAI Engineer *
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. 7+ years of Python development experience, particularly in building scalable backend services
Added 18 mins ago
Advanced Software Engineer
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Added 21 mins ago
Engineer II, Automated Test Systems (Onsite)
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Working knowledge of Visio, CREO, LabVIEW, TestStand, C#, and Python for automated test and analysis workflows
Added 21 mins ago
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Houston, TX
- $75,000 to $105,000 USD / year
…embeddings, catalog retrieval and LLM-based evidence checking. The developer owns the codebase end to end (design, implementation, deployment and operation) and leads the next wave of…
Added 21 mins ago
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Service Innovation & Development Intern
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Houston, TX
- $25 to $30 USD / hour
…AI Agent product owner within the Strategic Expert team, the developer takes well-scoped features, bug fixes and data tasks from the backlog and covers the routine maintenance the service…
Added 23 mins ago
Associate Software Engineer
The Boeing Company
Albuquerque, NM · El Segundo, CA
The Boeing Company has an exciting opportunity for an Associate Software Engineer, Front End Developer to support the Space Mission Systems (SMS) Rapid Space Capabilities (RSC) portfolio,…
Added 24 mins ago
Staff Materials & Process Engineer
Relativity Space
Long Beach, CA
Proficiency in Python or a similar language for data analysis and scripting

Walmart

Manager, Revenue Operations and Scaled Services

HOBOKEN, NJ, United States

$96,000 to $186,000 USD / year

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Job details

Pay: $96,000 to $186,000 USD / year
Posting language: English
Posted: Oct 29, 2026

Original job description

Position: Manager, Revenue Operations and Scaled Services

Job Location: 221 River Street, Hoboken, NJ 07030

Duties: Analyze and interpret multi-dimensional revenue signals and commercial data across Segment level business verticals to improve business efficiency within the SaaS Product Revenue Operations function, leveraging advanced analytical methodologies to translate pipeline indicators into actionable forecasting inputs. Develop and operationalize predictive and prescriptive Revenue Operations forecasting model solutions - including multi-segment customer lifecycle analysis - that meet business goals and drive commercial pipeline accuracy within go-to-market function. Apply comprehensive understanding of the data ecosystem - including Data Management, Data Quality Standards, Data Governance, Accessibility, Storage, and Scalability - to architect Salesforce CRM pipeline hygiene and structural data validation frameworks, ensuring audit-ready, high-fidelity Revenue Operations reporting across commercial and business development pipelines. Use advanced knowledge in Data Discovery tools including Google BigQuery, Data Lake, and SQL to write queries and analyze Revenue Operations data, identifying patterns, trends, outliers, and correlations across commercial datasets serving Commercial, Business Development, and Data partner teams. Support the identification and application of statistical and machine learning techniques - including predictive and prescriptive modeling methodologies - based on business requirements, to develop and continuously refine multi-segment Revenue forecasting models and enable data-led commercial decision-making. Assist in the planning, design, and implementation of exploratory data analysis and Revenue Operations analytics research projects, contributing to the establishment and continuous maturation of an AI/ML-integrated analytics foundation in partnership with the Data Foundations team. Translate business requirements into projects, activities, and tasks aligned to the overall Revenue Operations strategy and domain-specific commercial roadmap, including strategic tool integration initiatives for Marketo, Gong, and Salesforce, and developing scalable analytical artifacts supporting Canada and Mexico geographic market expansion. Define, design, and implement Revenue Operations-exclusive Key Performance Indicators and automated reporting pipelines using Tableau, Power BI, and Salesforce Analytics, replacing manual reporting workflows with self-service, real-time dashboards that track and convey KPIs including ARR growth, Deal Win Rate, Churn Rate, and Business Development Pipeline velocity to empower data-driven business and commercial decisions. Present to and influence cross-functional teams and senior business stakeholders using Tableau, Power BI, and Salesforce-integrated visualization frameworks, conveying clear and precise Revenue Operations performance narratives and commercial pipeline insights through audience-appropriate data storytelling and business communication. Conduct comprehensive Salesforce ERP data analysis by integrating financial, operational, and commercial datasets across enterprise resource planning modules, leveraging Salesforce reporting objects and custom data objects to surface cross-functional revenue insights and support data-driven strategic leadership planning. Demonstrate up-to-date expertise in Advance Analytics tooling - including generative AI applications such as ChatGPT and Native AI Models - and apply this expertise to the development and execution of Revenue Operations automation frameworks that reduce manual reporting overhead, minimize human-hour expenditure, and enhance forecasting accuracy across Customer commercial lifecycle.

Minimum education and experience required: Master’s degree or equivalent in Business, Marketing, Communication, Digital Media/Advertising, Engineering (any) or related area; OR Bachelor's degree or equivalent in Business, Marketing, Communication, Digital Media/Advertising, Engineering (any) or related area and 2 years of experience in campaign management, business development, market development, or related area.

Skills required: Experience with leading forecasting and revenue operations modeling based on exponential triple smoothing, weighted moving average, linear regression, Python prophet for demand planning to develop daily, weekly, monthly and fiscal volume analytics and forecasting. Experience with leveraging Google BigQuery, Trino SQL for exploratory data analysis for Data Lake, Salesforce, New Tools Adoption and Analytics and data source automation and scheduling scripts. Experience with gauging business metrics and key performance indicators for mean absolute percent error, day of the week distribution, statistical significance and power analysis to strategize and improvise performance. Experience with planning and executing hybrid strategies to fit the function area pattern for forecasting with predictive analytics and A/B testing to measure performance. Experience with configuring and analyzing what-if scenarios and extrapolation of impact based on various annual seasonality events on business performance with generating correlation with marketplace sellers’ data and various relevant business metrics. Experience with analyzing trends, seasonality, drivers, root-cause complexities to calibrate, implementing forecasting and capacity planning and providing recommendations to business teams. Experience with bridging communication with cross-functional stakeholders for Business Development Pipeline and CRM insights using charts and deck presentations between business and technical stakeholders by generating self-service dashboards. Experience with generating automated dashboards based on databases by data mining for Data Management, Data Quality, Annual Recurring Revenue, Deal Win Rate, Churn Rate and analyzing to populate results data tables to be utilized in Tableau, MS Power BI and Looker. Experience utilizing MS Excel Advanced with macros to handle large datasets, with Charts, Pivot tables, Vlookups, linear regression, and ETS, WMA, Linear regression, Python Prophet forecast techniques, Prescriptive Analytics, Generative AI, ChatGPT, Revenue Operations, Multi-segment Forecasting and Customer Lifecycle. Employer will accept any amount of experience with the required skills.

Salary Range: $96,000/year to $186,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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