Jobs in the United States

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Added 1 min ago
Automation Cell Culture Biologist
Axle
Bethesda, MD
Axle is seeking a Automation Cell Culture Biologist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute on Aging (NIA) located in Bethesda,…
Added 2 mins ago
Associate, Application Developer, IT Platform, AWai
NSU AWAC Services Company
NJ
…leverage Large Language Models (LLMs), Prompt Engineering, automation, and enterprise…
Added 3 mins ago
EI
Manufacturing Engineer
ECHONOUS INC
Redmond, WA
- $92,000 to $112,000 USD / year
Python Scripting: Ability to write or modify Python scripts for test automation, data collection, or analysis.
Added 7 mins ago
1
Finance Systems Analyst - Integrations and Automation
1Password
Remote, United States
- $83,000 to $116,000 USD / year
As a Finance Systems Analyst focused on integrations and automation, you’ll support the Finance Systems team in building, maintaining, and testing Application Programming Interface (API)…
Added 10 mins ago
TR
Accelerated Science Intern, Representation Learning for Molecules and Materials
Toyota Research Institute
Los Altos, CA
- $45 to $65 USD / hour
…materials modeling, experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capabilities to enable…
Added 11 mins ago
Senior Software Engineer, Enterprise AI
Instacart
Remote, United States
Design, develop, test, and operate scalable software systems that power Enterprise AI products and capabilities.
Added 13 mins ago
TL
SDET III/Senior Software Development Engineer in Test III
The LaunchCode Foundation
St. Louis, MO
- $100,000 to $120,000 USD / year
Position Summary: The Software Test Engineer III designs and implements automated and manual verification tests and aids in designing and implementing manual validation procedures, test…
Added 14 mins ago
Senior Data Scientist, Identity Data Science
Intuit
San Diego, CA · Mountain View, CA
Experience in programming languages, automation tools, and stats packages (e.g. Python) is a plus; comfortable creating re-usable data pipelines
Added 14 mins ago
AU
Senior Mechanical Thermal Analysis Engineer - Research
ASML US, LP. (US30)
Wilton, CT
- $118,875 to $176,000 USD / year
…fidelity, evaluate technical risks, correlate predictions with test data, and translate complex results into clear engineering…
Added 14 mins ago
AU
Senior Mechanical Analysis Engineer
ASML US, LP. (US30)
Wilton, CT
- $150,000 to $222,000 USD / year
…fidelity, evaluate technical risks, correlate predictions with test data, and translate complex results into clear engineering…
Added 16 mins ago
O
Principal Core Infrastructure Engineer, AI Infrastructure
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
…architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of…
Added 17 mins ago
CC
Senior AI Software Engineer
Continental Casualty Company
Chicago, IL
- $72,000 to $141,000 USD / year
Implement test automation (unit, integration, end-to-end)
Added 18 mins ago
Senior Technology Leadership Professional
Humana Inc.
Dallas, TX · Louisville, KY · Nashville, TN
…Enterprise Post Production Validation teams, with a focus on process automation, innovation, and continuous improvement. You will work with both onshore and offshore resources, ensuring in…
Added 18 mins ago
AI and Data Consultant Team Lead
Coretek Services
Remote, United States
Data engineering: Build and improve data pipelines and platforms using SQL, Python, Microsoft Fabric, Azure data services, and Databricks. Deliver tested datasets for analytics and AI use…
Added 25 mins ago
Transformational Automation Strategist (Mid - Senior Level)
Jack Henry & Associates
Allen, TX
Experience developing and supporting automation for business-critical Unix, Linux, or AIX environments using Perl, Shell, Python, PowerShell, or another relevant programming or scripting…
Added 26 mins ago
U
Senior Manager AI/ML Engineering (Flex)
UPS
ATLANTA, GA
- From $128,172 USD / year
…monitoring, Responsible AI, and operational readiness, including test-question sets, UAT support, defect triage, and production release…
Added 26 mins ago
Sr Operational Ex Analyst
Honeywell Technologies
El Paso, TX
Test and optimize agent performance and reliability.
Added 27 mins ago
Software Engineer II - AI/ML
JPMorgan Chase
Plano, TX
…operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards…
Added 27 mins ago
Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Added 27 mins ago
Validation Engineer
Texas Instruments
Dallas, TX
Programming skills for test automation (Python, C/C++, MATLAB, or LabVIEW)
Added 28 mins ago
Red Hat Enterprise Linux (RHEL) Endpoint Administrator
Leidos
Houston, TX
Develop and maintain automation scripts using RHEL-supported languages, including Bash, Python, and YAML, to streamline application installations, system configurations, and software…
Added 28 mins ago
Software Quality Engineer, Secure Firewall
Cisco
Austin, TX
Experience using Python or a comparable scripting language for test automation and tooling.
Added 29 mins ago
Global Response Operations, Protect Analyst
Meta
Austin, TX
Proficiency in Python, with experience using it for automation, scripting, or building lightweight tools
Added 29 mins ago
Senior NDT Engineer - Advanced Inspection Technologies
NOV
Houston, TX
…alongside electrical, mechanical, and software engineers to design, test, and improve advanced nondestructive testing (NDT) systems. This position offers the opportunity to solve complex…
Added 35 mins ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
…including GenAI-assisted development, data analysis, and workflow automation. You will help define best practices for GenAI tool adoption within the group and collaborate cross-functionally…

Newell Brands

Forward Deployed Engineer

Hoboken, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Job ID: 19184

Alternate Locations:

Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact - supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.

We are building AI-enabled capabilities that help our marketing, eCommerce and content teams work faster and smarter, starting with content optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product data, creative, syndication and other marketing and eCommerce workflows, learn how their work gets done and build with them. This role is focused on building, and you will report to the Head of Digital Product & Innovation, eCommerce, who leads product strategy and stakeholder alignment. You will work closely with your leader on the product vision, using what you learn in the field to inform what we build next and why. What you build in the field informs what gets productized, and what gets productized is then deployed back into the business. This is a hands-on, high-visibility role.

Responsibilities

Discover and Design

Work with New Item Setup, Marketing, Brand, eCommerce, Content, Media, Commercial and IT teams to map how work gets done and find where data issues, handoffs and rework slow teams down
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work
Find the underlying problem behind each request, and turn business requirements into scoped technical solutions with clear specifications and success metrics
Contribute to architecture choices for each AI solution, including models, orchestration and data design, in partnership with enterprise IT, and recommend a different approach when the request is not the best fit

Build and Deploy

Build and own technical components from design through deployment, testing and monitoring in production
Rapidly prototype and deploy solutions such as AI agents, workflow automations, integrations, data pipelines and lightweight applications, then take them from prototype to production to meet enterprise standards
Build and deploy AI agents and workflows that take action in business systems, including prompts, tool calls, retrieval and context layers
Develop classification and enrichment models, such as those that map, validate and generate product attributes and categories against our taxonomy and retailer requirements
Train, tune and deploy machine learning models that extract and classify information from text, images and documents, such as product attributes against our taxonomy, at scale
Choose the right approach for each use case, from rules and classical models to fine-tuned and LLM-based extraction, and design feedback loops that retrain models using human corrections
Connect copy and generative AI content capabilities into connected workflows, using a blend of AI within custom Azure solutions and enterprise tools such as Adobe and Salsify
Build data pipelines and integrations across Azure, enterprise data platforms and the commercialization stack: product information management (PIM), syndication and digital asset platforms (Stibo, Salsify, Adobe)
Work with enterprise IT to meet requirements for security, access control and data governance, and to integrate with legacy systems
Use Claude Code and similar AI-assisted development tools daily to build and test faster

Operate and Improve

Test AI output with defined test sets, quality metrics and human review
Measure extraction and classification performance by attribute using precision, recall and F1 on labeled datasets, and track confidence thresholds, error patterns and model drift over time
Monitor deployed solutions, find the root cause when issues occur and fix them
Build dashboards that report solution health and business results: cycle time, data quality, cost avoidance and content readiness
Help measure and report impact in terms stakeholders and finance care about, such as time saved, cost avoided, revenue influenced and quality improved
Document solutions and train business teams to use and extend them independently, gathering feedback and iterating until the solution is part of how the team works

Inform the Product

Contribute to the product vision and roadmap alongside your leader, combining what you learn in the field with their strategy and priorities
Turn repeated field needs into reusable capabilities, and help decide what to build once, what to configure and what not to build
Bring data, working demos and clear technical recommendations to stakeholder discussions to help reach decisions
Keep stakeholders informed by communicating progress, tradeoffs and risks clearly to both working teams and senior leaders
Stay current on new AI tools and methods, and recommend when to adopt, build or retire a capability

Qualifications

Bachelor's degree in computer science, engineering, data science or a related field, or equivalent practical experience
Five or more years in software engineering, data engineering, solutions engineering or a similar role such as forward-deployed engineering or consulting, including technical delivery for customers or business teams
Strong Python and SQL skills
Software engineering fundamentals, including version control, code review and automated testing
Experience with Azure and DevOps practices, including CI/CD, infrastructure as code and cloud deployment
Experience in data science, including feature engineering, model selection, validation and statistical evaluation, and moving models from experiment to production
Hands-on machine learning for information extraction and classification, such as named-entity recognition, multi-label and hierarchical classification, embeddings, and fine-tuning of transformer or large language models
Experience building with large language models, agent frameworks and orchestration, prompt and context design, evaluation and monitoring
Experience with classification, taxonomy mapping or entity-resolution models
Working knowledge of current AI tools and methods, with examples of what you have built or tested

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

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