Forward Deployed Engineer

SewerAI Corporation

24d•$160,000 - $180,000

About The Position

SewerAI is looking for a Forward Deployed Engineer to join our Engineering team. This role sits at the intersection of customer discovery, project management, and deep technical execution — and is critical to ensuring customers successfully deploy, integrate, and operationalize our platform within their existing systems and workflows. You'll own complex implementations end-to-end: data migrations, ETL workflows, scripting, API integrations, SaaS-to-SaaS connectivity, and system configuration — often working with large, inconsistent, and imperfect datasets across multiple systems. Success here requires strong problem-solving, comfort with ambiguity, and the ability to translate complex technical concepts into clear, practical guidance for customers. This role directly impacts customer success, product adoption, and company growth.

Requirements

4+ years in Professional Services, Solutions Engineering, Implementation Engineering, or a similar customer-facing technical role
Proven track record managing end-to-end technical implementations or migrations
Experience working directly with customers in technical environments
Strong problem-solving ability in ambiguous, real-world situations
Clear communicator with both technical and non-technical audiences
Scripting experience — Python, JavaScript, Bash, or similar
Strong SQL and relational database fundamentals
ETL workflows and data migration experience
API and system integration experience
Comfort working with large, inconsistent, or unstructured datasets
Familiarity with cloud platforms (AWS preferred)
Ability to troubleshoot across multiple systems (DB, API, files, UI)
Experience automating workflows or data processes
Experience with AI code tools

Nice To Haves

GIS, asset management, or infrastructure software experience
Legacy system data migration experience
Large-scale data ingestion or media dataset experience
SaaS or high-growth startup environment experience
Enterprise customer support experience

Responsibilities

Lead technical discovery sessions to understand customer systems, data, workflows, and constraints
Define implementation scope, timelines, and deliverables in collaboration with Customer Enablement, Sales, and Engineering
Translate customer requirements into clear technical plans — including mappings, transformations, and integration design
Identify risks early, especially around data quality, system compatibility, and workflow complexity
Set clear success criteria and validation strategies; manage customer expectations throughout
Own Professional Services projects from kickoff through final delivery
Drive timelines, milestones, and cross-team coordination
Maintain detailed documentation of configurations, mappings, and integrations
Take full ownership of outcomes — data correctness, system behavior, and usability
Communicate clearly with both technical and non-technical stakeholders
Perform data imports, exports, and transformations between systems
Design and execute ETL workflows for structured and semi-structured data
Write scripts to automate data transformation, validation, and migration tasks
Build and manage ingestion pipelines for files, databases, APIs, and media datasets
Integrate systems using APIs, webhooks, and custom scripts
Configure SaaS-to-SaaS integrations and automation workflows
Work across tools including AWS (S3, Lambda, IAM), REST APIs, Temporal (or similar orchestration), Zapier/Celigo, and SQL/CSV/JSON/media datasets
Define field-level mappings between legacy systems and platform data models
Reconcile source and target schema differences; ensure referential integrity
Handle real-world data issues: missing fields, inconsistent formats, duplicates, schema drift
Validate data through sampling, QA checks, and full-scale verification
Troubleshoot mismatches across files, metadata, APIs, and database records
Execute staged migrations and validation before full production rollout
Engage directly with customer technical teams, managers, and stakeholders
Explain technical topics in clear, practical terms
Guide customers on best practices for data structure, workflows, and integrations
Recommend implementation approaches based on real-world constraints
Push back on infeasible solutions with clear reasoning and alternatives
Serve as the trusted technical advisor through onboarding, expansion, and complex deployments
Partner with Product, Engineering, Customer Enablement, and Support
Build scripts, utilities, and templates to improve implementation efficiency
Create repeatable patterns for migrations, integrations, and onboarding
Contribute to internal documentation and playbooks
Provide product feedback based on real customer use cases
Help scale Professional Services delivery through better tooling and automation