SewerAI

Data Scientist

• Develop anomaly detection systems for sewer infrastructure
• Build predictive models for maintenance scheduling
• Design and iterate on ML models for sewer applications
• Build data processing pipelines for analyzing infrastructure data
• Create visualizations and reports in Hex

Data Scientist – AI

• Sales Forecasting & Pipeline Analytics — Build and maintain predictive models for revenue forecasting, pipeline health, and deal velocity
• Customer Segmentation & Churn Prediction — Develop models to identify high-value customer segments and predict at-risk accounts
• Pricing Optimization & Market Analysis — Analyze pricing effectiveness, competitive positioning, and market opportunities
• Dashboards & Reporting — Create interactive dashboards and reports in Hex to democratize data access across the sales org
• Data Pipeline Development — Build and maintain data pipelines to ensure clean, reliable data for analysis

Data Scientist – Sales

Manager

• Independently deliver live customer training sessions, webinars, and onboarding workshops.
• Own assigned SewerAI University courses or training tracks, including session delivery and ongoing updates.
• Create, update, and maintain enablement content such as training decks, guides, videos, and self-service documentation.
• Ensure training content remains accurate and aligned with current product functionality.
• Collect and synthesize customer feedback to improve training effectiveness and clarity.
• Execute standardized onboarding programs for new customers, ensuring training milestones are completed on time.
• Manage onboarding activities for small to mid-complexity customers with minimal oversight.
• Coordinate with Professional Services and Senior Enablement Managers on onboarding for enterprise or complex accounts.
• Monitor onboarding progress and proactively surface risks, delays, or adoption challenges.
• Reinforce best practices for workflows, configuration, and product usage to accelerate customer time-to-value.
• Own execution of defined enablement initiatives (e.g., new course rollouts, training refreshes, onboarding updates).
• Track enablement metrics such as training attendance, completion, and early adoption indicators.
• Identify recurring customer challenges and recommend content or process improvements.
• Support enablement-related project work, timelines, and deliverables.
• Partner with Marketing to support customer-facing educational content and campaigns.
• Collaborate with Product and Engineering to stay current on feature releases and translate changes into training updates.
• Contribute to internal enablement resources used by Customer Success and Professional Services teams.
• Serve as a reliable enablement point of contact for internal stakeholders on assigned initiatives.

Customer Enablement Manager

Support Engineer

• Respond to customer support requests via Pylon, Slack, in-app chat, and email.
• Diagnose and resolve common, documented issues related to user access and permissions, platform usage, workflows, data visibility or expected system outputs.
• Follow established troubleshooting guides and support playbooks.
• Clearly communicate findings, next steps, and resolutions to customers.
• Accurately classify and document incoming support requests.
• Escalate issues to Engineering, Product, or Professional Services with clear summaries, relevant context, and reproduction details when available.
• Track escalated issues and communicate status updates back to customers.
• Use and contribute to internal and customer-facing documentation, including FAQs and troubleshooting guides.
• Identify recurring issues and flag documentation or process gaps to the team.
• Maintain clean, well-documented tickets that support efficient collaboration.
• Meet defined first response time (FRT) and resolution SLAs.
• Deliver professional, clear, and customer-focused support interactions.
• Support overall team goals for customer satisfaction and ticket backlog health.

Customer Support Technician II

Product Marketing

• Develop clear, differentiated product messaging for contractors, engineers, and utilities.
• Maintain and evolve the positioning for our platform, including AutoCode, Project Management Suite, Digital Submittal, Risk & Rehab, and more.
• Shape the narrative for upcoming product and feature launches, ensuring each one lands with clarity and impact.
• Manage how positioning and messaging shows up across sales collateral—keeping decks, one-pagers, and product assets aligned and up to date.
• Monitor competitors, alternative solutions, and industry trends.
• Maintain and improve battlecards and market insights for the sales team.
• Identify messaging gaps, new opportunities, and areas where SewerAI can differentiate.
• Create compelling collateral: one-pagers, feature guides, decks, landing pages, video scripts, and case studies.
• Enable the sales team with repeatable messaging, pitch materials, and objection handling.
• Support measurement and adoption of new enablement materials.
• Partner with CS to gather voice-of-customer insights and translate them into messaging.
• Identify customer outcomes and success stories to fuel content and sales materials.
• Collaborate on webinars, product demos, and customer-facing product education.

Data Scientist – AI

Data Scientist – Sales

Customer Enablement Manager

Customer Support Technician II

Product Marketing Manager