Hiring.Camp

Engineering Manager (NYC)

RFS Group

·

Today

Salary
$150k – $250k
Workplace
Remote
Type
Full-time
Department
Engineering
Seniority
Manager
Experience
3+ years
Education
Bachelor
Source
RecruiterFlow

Description

 
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Forward Deployed Engineer

Location - Atlanta, GA / New York, NY / US Remote (East Coast Preferred)

Remote role aligned to US East Coast hours, with an optional Atlanta office. Approximately 30% domestic travel to customer sites across the US is required.

Compensation

$150,000 – $250,000 Base + Competitive Equity

Visa

Open to Visa Transfers (OPT, H1B Transfers) + O-1 and L-1 Support

Company Stage

Growth Stage – Global AI / Enterprise Software Company

Industry

Artificial Intelligence, Retail Technology, Supply Chain, Enterprise SaaS, Data Infrastructure, AI/ML, Retail Planning, Customer-Facing Engineering


About the Company

Our client is building an AI-native retail and supply chain planning platform designed to help major retailers, manufacturers, and wholesalers optimize demand, inventory, merchandising, pricing, and supply chain operations.

The platform combines AI, data infrastructure, and enterprise software to help organizations improve product availability, increase sales, optimize inventory, and drive operational efficiency at significant scale.

As a Forward Deployed Engineer, you'll join a fast-growing AI-native business unit operating with a startup-like environment inside a well-funded global technology company.

You'll work directly with major US retail customers, serving as both a production engineer and technical customer partner while building integrations, data pipelines, and AI-driven solutions that directly impact customer outcomes.

This is an opportunity to combine software engineering, data engineering, AI, customer-facing technical work, and product thinking while owning solutions end-to-end in complex enterprise environments.


What You'll Do

  • Write production code daily to build and deploy customer-specific integrations and solutions
  • Spend approximately 70% of your time building production software and data infrastructure
  • Build data pipelines supporting major retail and grocery customers
  • Develop AI-driven solutions for enterprise retail planning workflows
  • Serve as the primary technical point of contact for 2–3 enterprise retail customers
  • Work directly with stakeholders ranging from VP-level executives to store and operational teams
  • Gather customer requirements and translate business problems into technical solutions
  • Workshop solutions directly with customers and rapidly prototype potential approaches
  • Build and deploy prototypes before integrating successful solutions into production products
  • Own customer-specific integrations with ERP systems and other enterprise platforms
  • Build reliable systems that operate within live customer environments
  • Own KPI delivery, solution performance, and SLAs for customer deployments
  • Monitor production systems and proactively identify performance or reliability issues
  • Build and maintain scalable data pipelines and transformation workflows
  • Work across engineering, AI, product, and design teams to deliver customer outcomes
  • Translate customer feedback into product and engineering improvements
  • Identify recurring customer requirements that can be converted into scalable platform capabilities
  • Balance customer-specific needs with long-term product architecture
  • Use AI tools and modern development workflows to accelerate engineering execution
  • Work with cloud infrastructure and modern data platforms
  • Manage multiple customer accounts and technical projects simultaneously
  • Coordinate technical priorities across engineering, AI, design, and customer stakeholders
  • Travel approximately 30% to customer sites across the US
  • Build trusted technical relationships with enterprise customers
  • Operate independently in a fast-moving, customer-driven environment
  • Take ownership of customer outcomes from initial requirements through production deployment and ongoing operation

Ideal Candidate Background

Experience Requirements

  • 3–8 years of professional software engineering or customer-facing engineering experience
  • 3+ years of experience building and deploying production software
  • Direct customer-facing engineering experience required
  • Experience working directly with enterprise customers or technical stakeholders
  • Experience building production data pipelines
  • Experience owning technical solutions end-to-end
  • Experience working in startup, high-growth, consulting, or highly autonomous engineering environments
  • Experience translating customer requirements into production software
  • Experience managing multiple customers, projects, or technical workstreams simultaneously
  • Experience operating in ambiguous environments with evolving requirements
  • Strong product mindset and understanding of software quality standards
  • Strong ownership mentality with demonstrated execution ability
  • Comfortable serving as the technical face of a product or engineering team
  • Experience working with cloud platforms and modern data stacks
  • Experience working with AI/ML products or workflows preferred
  • Experience working with enterprise software or complex operational systems preferred
  • Experience working with retail, supply chain, logistics, or other operationally complex industries preferred

Technical Requirements

  • Strong software engineering fundamentals
  • Strong experience writing production code
  • Experience with Go, TypeScript, Python, or comparable programming languages
  • Strong experience building production data pipelines
  • Experience with SQL and relational databases
  • Experience working with Google Cloud Platform (GCP) or comparable cloud platforms
  • Experience building and deploying cloud-based applications
  • Experience with React or modern frontend technologies preferred
  • Experience working with AI/ML systems or AI-powered applications preferred
  • Experience integrating enterprise systems and APIs
  • Experience working with large-scale datasets
  • Experience designing reliable and scalable data workflows
  • Experience debugging and troubleshooting production systems
  • Experience monitoring production applications and data pipelines
  • Experience building customer-specific integrations
  • Ability to reason across software, data, infrastructure, AI, and product systems
  • Ability to prototype solutions quickly and turn successful prototypes into production systems
  • Strong understanding of software architecture and system design
  • Strong understanding of production reliability and performance
  • Comfortable using modern AI-assisted engineering tools
  • Ability to learn unfamiliar technical domains and customer environments quickly

Education

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field preferred
  • Equivalent practical engineering experience accepted
  • Strong computer science and software engineering fundamentals

Soft Skills

  • Exceptional technical ownership
  • Strong customer orientation
  • Strong product judgment
  • Strong analytical and problem-solving ability
  • Excellent communication skills
  • Comfortable working directly with enterprise customers
  • Comfortable communicating with both technical and non-technical stakeholders
  • Strong ability to understand complex business requirements
  • Highly organized and detail-oriented
  • Strong multitasking ability
  • Comfortable managing multiple customer accounts simultaneously
  • Strong project management and prioritization skills
  • Strong ability to operate independently
  • High execution velocity
  • Strong bias toward shipping
  • Comfortable working in ambiguous environments
  • Strong ability to make pragmatic technical tradeoffs
  • Strong business and product intuition
  • Low-ego collaborative mentality
  • Comfortable working across engineering, AI, design, and customer teams
  • Strong stakeholder management skills
  • Comfortable being accountable for customer outcomes
  • Comfortable traveling approximately 30% domestically
  • Comfortable working US East Coast hours
  • Strong interest in AI, data infrastructure, enterprise software, retail, and supply chain technology

Compensation & Benefits

  • Base Salary: $150,000 – $250,000
  • Competitive equity
  • Opportunity to work on AI-native enterprise software at significant scale
  • High ownership over customer-facing technical solutions
  • Direct exposure to major US retail and grocery organizations
  • Opportunity to build production AI, data, and software systems
  • Opportunity to work across engineering, AI, product, and customer teams
  • Exposure to large-scale enterprise data and operational workflows
  • Opportunity to own customer outcomes end-to-end
  • Remote flexibility with East Coast working hours
  • Optional Atlanta office
  • Approximately 30% domestic travel to customer sites
  • Visa transfer support
  • O-1 and L-1 visa support

Why Join

This is an opportunity to join a high-growth AI-native engineering organization where you'll operate at the intersection of software engineering, data infrastructure, AI, and enterprise customers.

You'll spend the majority of your time writing production code while also serving as a trusted technical partner to major retail organizations.

You'll own customer solutions end-to-end — from gathering requirements and prototyping with customers through production deployment, KPI delivery, system performance, and ongoing iteration.

If you enjoy building production software, solving complex customer problems, working directly with enterprise stakeholders, and operating with high ownership in a fast-moving AI environment, this role offers exceptional technical, product, and customer-facing scope.

Skills

PythonTypeScriptReactGCPSQLData EngineeringPrototypingMerchandisingERPProject Management