Design, develop, and implement document and workflow automation solutions for attorneys and firm personnel using low-code/no-code platforms and document automation tools.
Compensation
Salary Range: $120,000—$150,000 USD
Responsibilities
Work with stakeholders to understand pain points and priorities, and review existing processes to find opportunities for document generation and workflow automation across Practice Teams, Client Services Teams, and business/administrative departments.
Design, build, and maintain document automation solutions using Avvoka or similar platform.
Develop workflow automations using low-code/no-code tools such as Bryter and Microsoft Power Platform to streamline repetitive tasks and reduce manual effort across legal and business processes.
Lead automation projects from discovery and requirements gathering through deployment and ongoing maintenance.
Advance the firm's AI and automation goals by identifying ways to integrate generative AI capabilities, such as Harvey AI features, into document and workflow automations.
Lead compliance program administration, technology enablement, process improvement, analytics, and regulatory implementation to strengthen the effectiveness and maturity of the Compliance Program.
Compensation
Base Pay Range: $92,400 to $115,000 annually
Responsibilities
Lead and support compliance program administration activities, initiatives, and projects designed to strengthen the effectiveness, scalability, and maturity of the Compliance Program.
Identify opportunities to leverage technology, analytics, workflow automation, and artificial intelligence to improve Compliance Program effectiveness, operational efficiency, and regulatory compliance.
Support the implementation, optimization, administration, and continuous improvement of compliance technology platforms, reporting solutions, regulatory libraries, and workflow management tools.
Coordinate and monitor implementation of federal and state regulatory requirements, ensuring actions are assigned, tracked, documented, and completed in collaboration with Compliance and business stakeholders.
Serve as a liaison between Compliance, business operations, and technology teams to facilitate successful project execution, regulatory implementation, and program initiatives.
Requirements
Bachelor's Degree in Healthcare Administration
Bachelor's Degree in Business Administration
Bachelor's Degree in Information Systems
Principal Product Manager - Business Applications AI
Lead AI product strategy and roadmap for business applications across multiple enterprise domains
Compensation
$176,200.00 - $284,900.00/yr
Responsibilities
Own and prioritize an AI-powered roadmap tailored to business applications across Sales, Licensing/Entitlements, Finance, Support, Customer Success, or BI & Data Analytics
Partner with business leaders to identify manual bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys
Use AI-native tools to build and iterate on functional prototypes that validate how AI agents interact with enterprise APIs
Define error budgets, accuracy guardrails, and compliance standards for AI outputs within business-critical systems
Create and version-control Golden Sets to grade AI model performance in real-world business scenarios
Lead engineering of identity, SaaS, access governance, and internal application capabilities for Microsoft AI.
Locations (3)
Mountain View, California, United States
Redmond, Washington, United States
New York, New York, United States
Compensation
Security Operations Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Own divisional corporate technology problems from discovery through requirements, architecture, implementation, deployment, adoption, operation, measurement, and continuous improvement
Maintain a current inventory of the SaaS, identity, application, and integration surface Microsoft AI owns or configures
Be the resident automation guru who gets AI right the first time
Compensation
Pay range: $85,000-$90,000
Responsibilities
Partner with cross-functional teams to document current-state workflows and identify manual tasks, bottlenecks, and standardization opportunities.
Evaluate processes before automating, then build proof-of-concept solutions with approved AI tools, low-code/no-code platforms, and APIs.
Translate business needs into functional specifications, workflow logic, user stories, and acceptance criteria.
Maintain and prioritize a centralized pipeline of process improvement and automation projects by value, feasibility, cost, and risk.
Coordinate pilots, UAT, documentation, deployment, and training to support adoption of new AI-enabled workflows.
Requirements
Bachelor's degree in Business Administration, Information Systems, Operations Management, Supply Chain Management, Industrial Engineering, or a related field, or equivalent practical experience.
Lead and own AI-enabled product initiatives in insurance operations, bridging business stakeholders and delivery teams to deliver value through generative AI solutions.
Compensation
In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.
Responsibilities
Own, manage, and deliver a backlog of AI enablement work
Design, write, and maintain prompts and prompt templates
Lead process discovery and redesign for AI-enabled legal workflows within the Office of the General Counsel, translating business needs into technology-enabled solutions.
Compensation
Salary Range: $100,000-$143,000
Responsibilities
Lead current-state process discovery across OGC
Create clear process maps and workflow documentation
Redesign workflows for an AI-enabled operating model
Translate legal practice needs into structured workflow requirements
Build and configure workflows in AI, automation, intake, knowledge, and workflow platforms
Requirements
Bachelor's degree preferred
Nice to have: experience in legal department, law firm, financial services, or regulated environment
Nice to have: hands-on experience designing, configuring, or implementing generative AI-enabled workflows
Nice to have: familiarity with AI solution design concepts such as prompt engineering, retrieval-augmented generation, agentic workflows, structured outputs, and human-in-the-loop processes
Nice to have: experience evaluating and validating AI-enabled solutions
Engineer identity and access capabilities using Entra and connected systems
Build internal applications, automations, integrations, and self-service workflows using low-code/no-code platforms, APIs, event-driven services, configuration as code, and conventional software engineering
Requirements
Doctorate in Statistics, Mathematics, Computer Science, or related field
Master's Degree in Statistics, Mathematics, Computer Science, or related field
Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field
Nice to have: Doctorate in Statistics, Mathematics, Computer Science, or related field AND 5+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
Nice to have: Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
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