Senior Product Solutions Manager

EvenUp is on a mission to close the justice gap using technology and AI. The Sr. Product Solutions Manager will ensure enterprise customers are seamlessly onboarded and set up for success, acting as a hybrid program manager, implementation specialist, and product partner.

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)
• Enterprise Implementations: A track record of leading or working on customization-heavy 'system of record' implementations for large enterprise customers
• Strong SQL Skills: Comfortable writing and running complex SQL queries for data mapping, custom reporting and validation
• Prompt Engineering: Experience writing, testing and iterating on AI prompts, based on a foundational understanding of how large language models (LLMs) process and respond to inputs
• Scrappy & Adaptable: 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
• Exceptional Attention to Detail: You can flawlessly manage highly complex configurations, from variabilized fax cover pages to intricate firm-level files and integration services
• Customer-Centric Focus: You have a track record of working directly with enterprise customers or critical external stakeholders to ensure their success
• Testing & Triage Capabilities: 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