ashby
Senior Product Solutions Manager
EvenUp
Remote, USA
Full-time
Mid · 4+ years experience
Remote
USD 122485-187602 yearly / year
Discovered 3 weeks ago
SQLLLMs
Free
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What you’ll do:
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.
What we look for:
- 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.
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