EvenUp

2 months ago

Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build the orchestration layer for legal AI systems, turning agentic workflows into intelligent playbooks, smart case-routing, and context-aware knowledge graphs. Own the evaluation and quality framework to iterate prompts, improve reliability, and continuously enhance autonomous decision-making. Partner closely with AI engineers to define prompt engineering strategies, eval metrics, and system architecture for a fast-growing vertical SaaS delivering better outcomes in personal injury law.

Location: San Francisco, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Build AI playbooks that firms can teach and apply across cases and documents.
•Create smart workflows that analyze case data, decide when to act, and route cases for faster resolutions and higher settlements.
•Develop context systems including knowledge graphs and dynamic prompting for case history, firm preferences, and legal nuances.
•Own the evaluation framework, prompt iteration systems, and quality feedback loops to ensure reliability and continuous improvement.
•Define what “agentic workflow” means for legal AI and architect how AI agents work together to transform law firm operations.

Pay and Benefits

Perks:Health InsuranceDentalVisionHome Office401kRrspPaid ParentalPaid LeaveDisability

Key Requirements

•4-8+ years in product management, ideally with AI/ML products, workflow automation, or B2B SaaS.
•Deep curiosity about agentic systems, including multi-agent architectures and tool-use.
•Technical fluency to work directly with AI engineers on prompt engineering strategies, eval metrics, and system architecture.
•Experience shipping 0→1 products and/or working with LLMs and RAG systems.
•Comfort with ambiguity in a fast-paced startup environment.

Experience:4-8 yearsAI/MLWorkflow automationB2B SaaSLLMsRAG0→1 product development

Skills:Technical fluencyCuriosityStartup mindsetAdaptabilityComfort with ambiguity

Tech Stack:AIAI/MLAgentic workflowsLLMsRAGMulti-agent architecturesTool-useChain-of-thought decision-makingPrompt engineeringKnowledge graphsDynamic promptingEvaluation frameworkEval metrics

Company Brief

EvenUp

Develops an AI-powered Claims Intelligence Platform for personal injury law firms that automates document generation, reviews medical records, and streamlines workflows to help firms settle cases faster and secure fairer client outcomes.

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 3.1

Website LinkedIn Glassdoor

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EvenUp

2 months ago

Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Build AI playbooks that firms can teach and apply across cases and documents.
•Create smart workflows that analyze case data, decide when to act, and route cases for faster resolutions and higher settlements.
•Develop context systems including knowledge graphs and dynamic prompting for case history, firm preferences, and legal nuances.
•Own the evaluation framework, prompt iteration systems, and quality feedback loops to ensure reliability and continuous improvement.
•Define what “agentic workflow” means for legal AI and architect how AI agents work together to transform law firm operations.

Pay and Benefits

Perks:Health InsuranceDentalVisionHome Office401kRrspPaid ParentalPaid LeaveDisability

Key Requirements

•4-8+ years in product management, ideally with AI/ML products, workflow automation, or B2B SaaS.
•Deep curiosity about agentic systems, including multi-agent architectures and tool-use.
•Technical fluency to work directly with AI engineers on prompt engineering strategies, eval metrics, and system architecture.
•Experience shipping 0→1 products and/or working with LLMs and RAG systems.
•Comfort with ambiguity in a fast-paced startup environment.

Experience:4-8 yearsAI/MLWorkflow automationB2B SaaSLLMsRAG0→1 product development

Skills:Technical fluencyCuriosityStartup mindsetAdaptabilityComfort with ambiguity

Tech Stack:AIAI/MLAgentic workflowsLLMsRAGMulti-agent architecturesTool-useChain-of-thought decision-makingPrompt engineeringKnowledge graphsDynamic promptingEvaluation frameworkEval metrics

Company Brief

EvenUp

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 3.1

Website LinkedIn Glassdoor