FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading software engineering teams, managing AI-powered product feature delivery, and ensuring operational health while fostering collaboration across engineering disciplines. Strong focus on performance management, incident response, and effective communication with product partners.
Highest-signal resume keywords
Software Engineering ExperienceTeam ManagementAI-Powered Product FeaturesIncident Response PracticesProduct Sense
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Development LifecycleAI Systems EvaluationData Quality ManagementRoadmap DeliveryPerformance Management
Soft Skills
Clear CommunicationCollaborationPrioritization
Tools & Technologies
AI PipelinesData ModelingVertical SaaS
Industry Keywords
Legal TechWorkflow ManagementCase Management
About the role
Key responsibilities & impact- 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
- Balance 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 measurable customer outcomes
- Collaborate with principal engineers on architecture, data modeling, and boundaries between AI pipelines and the core case platform
- Build incident response and ownership practices, including escalation paths, root-cause reviews, and systemic fixes
- Establish written planning, documented decisions, and recorded demos
- Collaborate across engineering teams on platform dependencies, customer launches, and migrations
- Improve engineering quality, AI behavior evaluation, and delivery practices
Requirements
What you’ll need- 5+ years of software engineering experience
- 2+ years managing engineers
- Experience shipping AI-powered product features in production, such as LLM-based extraction, orchestration, or agentic workflows
- Comfort with evaluation, non-determinism, data quality, and operational requirements of AI systems
- Track record of running teams that handle escalations and incidents while delivering roadmaps
- Strong product sense and ability to make prioritization tradeoffs with product partners
- Experience managing engineers across multiple locations and time zones
- Clear, direct written and verbal communication
- Bonus: experience in vertical SaaS, legal tech, or workflow and case management products
- Ability to work in-person at least 3 days a week from the San Francisco or Toronto office hub
Benefits
Comp & perks- Choice of medical, dental, and vision insurance plans for you and your family
- Additional insurance coverage options for life, accident, or critical illness
- Flexible paid time off
- Sick leave
- Short-term and long-term disability
- 10 US observed holidays
- Canadian statutory holidays by province
- Home office stipend
- 401(k) for US-based employees
- RRSP for Canada-based employees
- Paid parental leave
- Local in-person meet-up program
- Equity