Senior Product Solutions Manager

EvenUp is hiring a Senior Product Solutions Manager to onboard enterprise customers and ensure successful implementations. The role configures customer environments, develops and tests AI prompts, handles SQL-based data mapping and reporting, leads UAT, and channels customer feedback into product improvements.

Responsibilities:

• Drive End-to-End Implementation: Own the technical and operational setup for our customers
• Configure Customer Environments: Translate firm Standard Operating Procedures into EvenUp by setting up Smart Workflows, task plans, and document templates
• Write & Iterate AI Prompts: Draft, test, and refine prompts, exercising strong judgment on quality thresholds for v1 launches
• Data & Reporting: Write and execute SQL queries to configure custom firm reports and validate data accuracy. Manage complex data mapping tasks, including provider contact entity linking. Leverage AI-assisted coding to investigate and resolve data discrepancies across backend and product layers
• Lead QA & Testing: Design User Acceptance Testing (UAT) end-to-end scenarios, conduct UAT alongside extended teams, provide mock plugs for integrations, and meticulously validate all use cases in staging environments to ensure production readiness
• Program Management & Training: Draft training schedules, coordinate with external stakeholders, and partner with internal ops teams to update internal processes (e.g., mailroom/fax attribution)
• Product Feedback Loop: Triage critical failures during rollout, identify missed use cases, and prioritize them in the product backlog to continuously improve the platform

Requirements:

• 4+ years of work experience in a fast-paced environment (SaaS, LegalTech, or complex Operations)
• A track record of leading or working on customization-heavy "system of record" implementations for large enterprise customers
• Comfortable writing and running complex SQL queries for data mapping, custom reporting and validation
• Experience writing, testing and iterating on AI prompts, based on a foundational understanding of how large language models (LLMs) process and respond to inputs
• You are comfortable testing, iterating, and making swift, sound judgment calls on where quality is "good enough" for a v1 launch versus what needs immediate fixing
• You can flawlessly manage highly complex configurations, from variabilized fax cover pages to intricate firm-level files and integration services
• You have a track record of working directly with enterprise customers or critical external stakeholders to ensure their success
• You know how to build UAT scenarios, run testing sessions, and quickly prioritize bugs or scope reductions
• Prior professional experience working with an enterprise "system of record"
• Prior professional background in personal injury law, LegalTech, or Legal Case Management Systems