Jobs in the United States

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Added 8 days ago
Marketing Analyst
3M
Austin, TX
Supports the development of automation and AI-enabled solutions for critical channel partner and business use cases. Works cross-functionally with Marketing, eCommerce, IT, product content,…
Added 8 days ago
AT
Software Engineer II
Akamai Technologies, Inc.
Austin, TX
- $95,000 to $171,000 USD / year
Are you a software developer who loves solving complex problems?
Added 8 days ago
Global Response Operations, Protect Analyst
Meta
Austin, TX
Influence and support innovation of technology, as well as adoption of technical solutions, that improves our detection capabilities (efficiency, speed, and reduction on language dependence)
Added 8 days ago
Software Engineer- Senior
Accenture Federal Services
Chantilly, VA
…teams to design, build, troubleshoot, and enhance software solutions, ensuring compliance with performance, security, usability, and quality requirements. In addition to hands-on…
Added 8 days ago
Senior Financial Analyst, FP&A – Revenue & Commissions
Acrisure, LLC
MIAMI LAKES, FL · SCHAUMBURG, IL · BOSTON, MA · AUSTIN, TX · NAPERVILLE, IL · ATLANTA, GA · GRAND RAPIDS, MI · NY
A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human…
Added 8 days ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
Identify and champion GenAI tools and developer productivity solutions that can be adopted within the team
Added 8 days ago
AIML - Machine Learning Engineering Manager, Evaluation - Responsible AI and Safety
Apple
Cupertino, CA
Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods
Added 8 days ago
Director, DevCon Platform Engineering
at Marriott
Bethesda, MD
…expertise with a product mindset, enabling them to translate developer needs into a strategic platform roadmap while delivering measurable improvements to developer experience and…
Added 8 days ago
Technical Account Manager 2 - San Francisco
Datadog
San Francisco, CA
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and…
Added 8 days ago
Associate Design Evaluation Engineer
Analog Devices
MA
…combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and…
Added 8 days ago
A
Industrial Engineering Analyst
Actalent
Pittsburgh, PA
- $70 to $80 USD / hour
Advanced proficiency in data analysis tools, including Excel (advanced modeling), Python, SQL, and Power BI/Tableau or similar reporting and dashboard tools.
Added 8 days ago
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Software Test Engineer
Actalent
Huntsville, AL
- $49.95 to $93.47 USD / hour
Demonstrated ability in software development in one or more of the following programming languages: C#/.NET, C, C++, Python, or Ruby.
Added 8 days ago
Full-stack Engineer 4
Capital One
Richmond, VA
…distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the…
Added 8 days ago
Staff Cloud Engineer
Capital One
McLean, VA · Richmond, VA · NY · Plano, TX
Decompose complex problems into practical and operational solutions
Added 8 days ago
Full-stack Engineer 4
Capital One
McLean, VA
…distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the…
Added 8 days ago
Full Stack Engineer 5 (Senior Manager, IC, MLX Group)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · Richmond, VA · San Francisco, CA · NY
…distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the…
Added 8 days ago
Full Stack Engineer 4 (AI Operations/MLX Group)
Capital One
NY · McLean, VA · Cambridge, MA
…distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the…
Added 8 days ago
Senior Full Stack Engineer
Canopy
Remote, United States
…research, hypothesize, build, test, and iterate on the best solutions for our customers. Our microservices backend and micro-frontend architecture support independent deployments, letting…
Added 8 days ago
Forward Deployed Engineer
United States
…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…
Added 8 days ago
Intern, SRAM Design Engineer
Samsung Semiconductor
San Jose, CA
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an…
Added 8 days ago
Senior Data Scientist
Lingo US Inc
CA
Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization
Added 8 days ago
Business Analyst – Agentic AI & Automation, Chat Customer Experience
CoSourcing Partners
Stamford, CT
…comprehensive Product Requirements Documents (PRDs), and drive solutions toward…
Added 8 days ago
Data & Analytics Lead Consultant
Allstate Insurance Co.
Remote, United States
…business knowledge to lead complex initiatives, establish scalable solutions and standards, and foster collaboration across business, technology, analytics, and data governance…
Added 8 days ago
Data & Analytics Expert
Allstate Insurance Co.
Remote, United States
Develop complex data solutions using Python, PySpark, Scala, SQL, or comparable engineering languages.
Added 8 days ago
IT Senior Network Engineer
PRIORITY ONDEMAND
SCOTTSDALE, AZ
…requirements, and architectural direction into effective technical solutions. The engineer will take ownership of security engineering initiatives from technical research and design through…

Forward Deployed Engineer

United States

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Job details

Posting language: English

Original job description

Job ID: [[id]]

Alternate Locations: [[mfield1]]

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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