Forward Deployed Engineer

pulsESG

AI-first Forward Deployed Engineer at Pulsora, focusing on complex enterprise deployments and customer solutions incorporating AI technology.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $60,000 - $70,000 per yearWebsite

Tech Stack

Tools & technologies

CloudETLJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

Lead complex enterprise deployments and implementations of the Pulsora platform for global customers
Partner directly with customer stakeholders to understand business processes, technical requirements, and ESG reporting workflows
Design and implement AI-enabled solutions that improve automation, compliance, reporting, and operational efficiency
Use AI-first engineering practices including AI coding assistants, prompt engineering, rapid prototyping, vibe coding, and LLM-powered application development
Rapidly build proofs-of-concept, internal tools, automations, integrations, dashboards, and lightweight applications
Configure workflows, validations, ETL pipelines, analytics, integrations, and reporting within the Pulsora platform
Develop reusable implementation accelerators and AI-powered tooling that improve delivery speed and scalability
Collaborate closely with Engineering and Product teams to influence roadmap priorities based on customer feedback
Lead solution workshops, architecture reviews, product demonstrations, and technical deep dives
Troubleshoot technical escalations and serve as a trusted technical advisor to enterprise customers
Support customer adoption, quarterly business reviews, and annual reporting cycles

Requirements

What you’ll need

3–7 years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, Solution Architecture, Enterprise SaaS Implementation, or Customer Engineering
Strong experience with AI-assisted software development and modern engineering workflows
Hands-on experience with Python, JavaScript / TypeScript, SQL, REST APIs, integrations, and analytics platforms
Experience with LLM application development including prompt engineering, RAG, AI agents, workflow orchestration, and evaluation
Strong vibe coding skills with the ability to rapidly prototype and ship solutions using AI-native development environments
Experience using modern AI development tools such as Cursor, Windsurf, GitHub Copilot, Claude, ChatGPT, OpenAI APIs, LangChain, LangGraph, Vercel AI SDK, Replit, and Bolt.new
Ability to quickly build internal tools, automations, workflow systems, AI-powered applications, and customer-facing prototypes
Familiarity with cloud-native and open-source technologies
Strong understanding of enterprise systems integration and business process automation
Excellent communication and customer engagement skills
Familiarity with ESG, sustainability, carbon accounting, or reporting frameworks such as CDP, SASB, GRI, or TCFD is a plus
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Benefits

Comp & perks

The company will pay with salary, equity, and benefits
Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)

ATS Keywords

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Hard Skills & Tools

PythonJavaScriptTypeScriptSQLREST APIsAI-assisted software developmentprompt engineeringworkflow orchestrationvibe codingETL pipelines

Soft Skills

communicationcustomer engagementcollaborationtroubleshootingtechnical advisingleadershipproblem-solvingcustomer adoption supportinfluencing roadmap prioritiesconducting workshops

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems