Engineering Manager
About The Position
EvenUp is hiring an Engineering Manager to lead a high-impact engineering team building systems at the core of its business. The team develops an AI-native platform for generating personal injury legal documents, helping attorneys represent clients effectively and secure better outcomes. The manager will balance strategic leadership with hands-on technical contribution and collaborate with founders, Product, and other cross-functional partners to scale AI-native workflows in support of EvenUp’s mission. This is a hybrid role based at one of EvenUp’s hubs in Toronto or San Francisco. The position owns the roadmap and delivery for Autofill and Smart Workflows, while supporting reliable operations, strong engineering practices, and measurable customer outcomes.
Requirements
- At least 5 years of software engineering experience.
- At least 2 years of experience managing engineers.
- Experience shipping AI-powered product features in production, such as LLM-based extraction, orchestration, or agentic workflows.
- Comfort with AI system evaluation, non-determinism, data quality, and related operational demands.
- A track record of leading teams responsible for escalations and incidents while continuing to deliver roadmap work.
- Strong product sense and comfort making prioritization tradeoffs with product partners.
- Experience managing engineers across multiple locations and time zones.
- Clear, direct written and verbal communication.
Nice To Haves
- Experience in vertical SaaS, legal tech, or workflow and case management products.
Responsibilities
- Lead and grow a team of software engineers, including hiring, onboarding, performance management, and career development.
- Own the roadmap and delivery for Autofill and Smart Workflows, balancing new AI capabilities with reliability and operational health.
- Direct and supervise the software development lifecycle, from scoping and design through release and monitoring.
- Partner with Product to turn agentic and orchestration ideas into shipped features, with clear tradeoffs and measurable customer outcomes.
- Work with principal engineers on architecture, data modeling, and boundaries between AI pipelines and the core case platform.
- Build incident response and ownership practices, including clear escalation paths, root-cause reviews, and fixes that eliminate classes of problems.
- Establish a team operating rhythm based on written planning, documented decisions, and recorded demos to support collaboration across locations.
- Collaborate across engineering teams on shared platform dependencies, customer launches, and migrations.
- Improve engineering quality, evaluation of AI behavior, and delivery practices as the team grows.
Benefits
- Choice of medical, dental, and vision insurance plans for employees and their families.
- Additional life, accident, or critical illness insurance coverage options.
- Flexible paid time off and sick leave.
- Short-term and long-term disability coverage.
- 10 US observed holidays and Canadian statutory holidays by province.
- Home office stipend.
- 401(k) for US-based employees and RRSP for Canada-based employees.
- Paid parental leave.
- Local in-person meet-up program.
- Hubs in San Francisco and Toronto.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
