Software Development Manager leading AI-powered experiences and products at LawDepot. Overseeing a team of developers and driving AI adoption across the organization.
Responsibilities
Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences.
Manage technical team members, guide development practices, collaborate on product strategy and roadmaps, and establish the standards required to deliver secure, scalable, reliable, and valuable AI solutions.
Provide technical leadership for the architecture, design, development, testing, deployment, and ongoing improvement of secure, scalable, and reliable AI-powered software solutions
Manage Software Developers, Data Scientists, and related technical contributors to create a high-performing team and foster technical excellence
Lead the delivery of AI-enabled products and features for our customers, improving the legal solutions experience for millions of users around the world
Advocate for and guide AI adoption across LawDepot, helping internal teams improve AI literacy and use AI tools productively, securely, and responsibly.
Establish and maintain best practices for AI-Native development, including code authoring, code reviews, automated testing, CI/CD, observability, AI evaluation frameworks, deployment gates, production readiness, security, and technical debt management
Research, evaluate, and recommend key platform, tooling, model integration, and technology decisions that align with business goals and long term company strategy
Own the AI roadmap and prioritize initiatives to ensure work is aligned with business goals, customer needs, technical feasibility, and organizational impact
Manage project schedules, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI product initiatives and related software development work to ensure initiatives are completed on time and within budget
Set team objectives, establish performance expectations, utilize metrics and data analytics, and conduct performance management to drive accountability and strong execution
Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and hiring as the team evolves
Partner with Product Owners and cross-functional business stakeholders to define business requirements, align technical work with business goals, and translate customer and internal needs into delivery plans
Support responsible AI governance by considering privacy, security, quality, risk, and compliance requirements
Requirements
Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, or a related field
5+ years of experience in software development, with 2+ years in a leadership-oriented role managing people, projects, processes, or technical delivery
Practical experience delivering AI-enabled products, features, platforms, or technology projects with a focus on quality, scalability, reliability, and on-time delivery
Strong understanding of AI subject matters (ex. AI-native SDLC practices, Natural Language Processing, Model Context Protocol, Retrieval-Augmented Generation, human-in-the-loop review processes, agentic workflows, prompt engineering and optimization, integration with APIs, databases, internal systems)
Familiarity with major AI platforms and tools (ex. Cursor, Claude), with the ability to evaluate their fit for development workflows, product features, and business needs
Strong technical leadership skills, including the ability to guide architecture, system design, development, testing, deployment, and continuous improvement of secure and scalable software solutions
Ability to build, mentor, and lead high-performing teams
Strong communication skills, with the ability to engage effectively with team members, stakeholders, and senior leadership to align technical work with company goals
Project and delivery management skills, including the ability to own roadmaps, prioritize initiatives, manage scope, schedules, estimates, dependencies, risks, resources, and delivery expectations
Ability to evaluate and select platforms, tools, and technologies that align with business goals, budgets, customer needs, and technical feasibility.
Strong business acumen and analytical judgment, with the ability to use metrics, performance data, and customer insights to guide decisions and drive accountability
Benefits
Comprehensive health and dental benefits, plus an additional Health Care Spending Account
Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours)
Paid vacation, plus bonus personal days
Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets
Company share plan
Free catered lunches for the entire office
Monthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities)
Casual work environment
Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team)
Free and easily accessible parking
Hybrid working arrangements for that balance between getting work done at home and engaging with others in the office
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