Jobs in the United States

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Added 10 mins ago
D
Partnerships Solutions Engineer
Dust
New York, NY
- $240,000 to $300,000 USD / year
- Experience in Solutions Engineering, Technical Consulting, Forward Deployed Engineering, or a similar customer-facing technical role.
Added 16 mins ago
WP
Senior Software Engineer
Wise Pelican
Scottsdale, AZ
- $100,000 to $150,000 USD / year
Help shape and eventually scale the Forward Deployed Engineering function, including its goals, processes, responsibilities, and future hiring needs.
Added 21 mins ago
IG
Forward Deployed Engineer
Insight Global
New York, NY
- From $85 USD / hour
Added 22 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
Join an early-stage AI software team building agents for customer lifecycle workflows. As the founding Forward Deployed Engineer, you will work directly with enterprise customers to take…
Added 22 mins ago
TT
Forward Deployed AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $300,000 USD / year
- Three to six years of software engineering experience in forward deployed, implementation, solutions, or product engineering roles.
Added 23 mins ago
KC
Customer Engagement Applications Engineer - SWIFT
KLA Corporation
Hillsboro, OR
- $83,100 to $141,300 USD / year
…for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems…
Added 55 mins ago
Senior Forward Deployed Engineer (FDE Lead)
Syncreon Consulting
Pittsburgh, PA
Added 1 hour ago
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Remote Palantir AIP Workflow Engineer
Kforce
Remote, United States
- $140,000 to $170,000 USD / year
Experience as a Palantir Deployment Strategist, Forward Deployed Engineer, AIP Developer, Foundry Consultant, Solution Architect, Technical Business Analyst, AI Workflow Engineer, or…
Added 1 hour ago
Staff Platform Security Engineer
Firestorm
United States
…full-capability plants, deployable xCell edge factories, and forward-deployed sites that stand up production near the point of…
Added 1 hour ago
Forward Deployed Engineer
ResolveAI
New York, NY
…by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues…
Added 1 hour ago
SA
Program Manager, Software
Swarm Aero
Oxnard, CA
- $175,000 to $200,000 USD / year
…program. You will sit with engineering leads, product, and our forward deployed engineers, and you will be the person who can tell a customer exactly what ships, when, and what it took to…
Added 1 hour ago
Customer Engineer, Enterprise - Austin/Dallas,TX or Raleigh, NC
Cloudflare
Austin, TX · Dallas, TX
…partner in solving tough problems to keep the Internet moving forward, you’ll fit right…
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
Added 2 hours ago
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Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
As a Senior AI/ML Engineer - AI Live Operations, you will apply your advanced technical expertise in data science, system orchestration, and software engineering to maintain the stability,…
Added 2 hours ago
Looker Forward Deployed Engineer
Capgemini
Austin, TX, TX
We are seeking a Google Looker Forward Deployed Engineer (FDE) to work directly with clients to design, build, and deploy modern analytics, AI, and data solutions leveraging Looker,…
Added 2 hours ago
Senior Forward Deployed Engineer, AWS
NTT Managed Services Americas, LLC
Southfield, MI
Added 2 hours ago
Machine Learning Engineer, Perception
Path Robotics
Remote, United States
Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
Added 2 hours ago
Principal AI Platform Engineer, Applied AI
Snowplow
Remote, United States
Eval and tracing infrastructure. The harness the embedded and forward deployed engineers use to prove their agents work. You own the tooling; they own the checks.
Added 2 hours ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
Added 2 hours ago
Senior Forward Deployed Solution Engineer
Spectro Cloud
Remote, United States
We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU…
Added 2 hours ago
UAV Trainer
UFORCE
Remote, United States
…mission leads, launch and recovery crews, safety observers, Forward Deployed Engineers, and customer teams using role-based programs of instruction and established instructor…
Added 3 hours ago
Staff Engineer, Site Reliability
Babylist
United States
Experienced operating Kubernetes in production - you've debugged the hard stuff, not just deployed the easy stuff
Added 3 hours ago
Staff Engineer, Site Reliability
Babylist
United States
Experienced operating Kubernetes in production - you've debugged the hard stuff, not just deployed the easy stuff
Added 3 hours ago
Senior Engineering Manager, Data & AI
Alvys
United States
Added 3 hours ago
Senior Technical Lead - AI Product Engineering (CMH Health)
Milliman
Chicago, IL · Brookfield, WI · Windsor, CT
At least two years in a technical lead, staff engineer, or similar role, including technical direction, delivery ownership, and developing others.

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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