Forward Deployed Engineer

About SewerAI Corporation

SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.

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.

• 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

• 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

• 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

• Complex implementations delivered on time and trusted by customers

• Data migrations that are accurate, validated, and production-ready

• Integrations that work reliably across systems

• Customers who feel confident in their technical decisions and workflows

• Internal teams who rely on you for the hardest implementation problems

• Professional Services processes that become more scalable over time

Compensation: $160,000 – $180,000

Benefits include:

• Medical, Dental, Vision, Basic Life, 401(k), and more

• Unlimited PTO

• Tools you need to get the job done

• Competitive salary and potential equity-based remuneration

SewerAI is transforming how municipalities and contractors inspect, analyze, and manage sewer infrastructure across the country — combining AI, geospatial analysis, and modern web technology to solve a real-world problem that affects communities nationwide. Professional Services Engineers are at the heart of making that mission real for every customer we serve.

SewerAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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SewerAI is proud to be an Equal Opportunity Employer. We are committed to providing a workplace free from discrimination or harassment on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. All your information will be kept confidential according to EEO guidelines.