Mitratech

Engineering Manager

• Own the AI evaluations and observability platform — tracing, logs, dashboards, quality signals, and operational feedback loops for prompts, model calls, tool use, and user outcomes.
• Design and operationalize automated and human-in-the-loop evaluation strategies, integrating regression checks for quality, safety, latency, and cost into engineering and release processes.
• Establish the standards that define production-ready AI across the organization — evaluation criteria, release gates, incident playbooks, and long-term quality metrics.
• Build and operate AI guardrails and policy enforcement capabilities: content controls, PII detection and redaction, audit logging, and request- or workflow-level policy checks.
• Translate emerging governance and risk expectations into working engineering systems and platform controls rather than static documentation.
• Own platform-level SLOs and tier-two incident support for AI behavior issues, partnering with product teams who remain first-line owners for features they ship.
• Act as an internal authority on AI quality and governance and participate in customer-facing conversations where product quality, safety, observability, or governance posture must be explained credibly.
• Hire, mentor, and grow the team over time — the combined function may later evolve into separate Quality/Observability and Governance/Policy teams.

Senior Engineering Manager, AI Quality – Governance

• Own the cloud and data foundation for the AI organization — shared runtime infrastructure, CI/CD patterns, and platform services used by AI teams.
• Design and build a unified data access layer for agents and AI features so they can interact with a coherent interface rather than bespoke storage and retrieval systems in each product.
• Define where shared AI data should live — agent memory, context stores, and shared service datasets — while partnering with product teams that have compliance or customer-specific reasons to retain specialized storage patterns.
• Build and operate data ingestion and transformation pipelines that support AI workloads and analytics, including ETL and lakehouse-style patterns where needed.
• Shape the technical execution of the organization’s data strategy, especially around scale, operability, cost, and long-term maintainability.
• Partner with the AI Quality & Governance team to support privacy-sensitive data handling, PII-aware workflows, and safe access patterns for observability, memory, and trace data.
• Provide platform patterns, reference architectures, and reusable services that help product teams migrate toward shared foundations instead of building fragmented point solutions.
• Hire, mentor, and grow the team over time — the function may later mature into separate data-platform and cloud-platform groups.

Senior Engineering Manager, Data & Cloud Platform

Attorney

• You'll have the chance to contribute across several areas of marketing, including:
• Supporting campaign concepting, visual storytelling, and maintaining brand consistency across channels.
• Writing and editing blog posts, social copy, executive communications, and campaign materials.
• Learning and applying emerging search and AI-visibility strategies to help Mitratech show up where it matters.
• Assisting with internal and external messaging, event communications, and thought leadership content.
• Jumping in wherever the team needs an extra set of skilled, motivated hands.

Marketing Intern, Legal Solutions

Full-stack Engineer

• Lead the design, development, and deployment of AI-enhanced software solutions. Ensure all development aligns with modern architectural principles, including microservices and domain-driven design. Communicate architectural decisions clearly across services and domains.
• Architect and implement robust APIs and microservices to integrate AI capabilities into our platforms. Develop and refine prompt strategies to guide AI agents in coding, testing, and documentation. Leverage AI tools like Copilot, Devin AI, and GPT APIs to improve efficiency and quality.
• Translate high-level product goals into actionable tasks optimized for both human and AI execution. Conduct detailed code reviews for both human- and AI-generated code, ensuring performance, security, and correctness.
• Mentor nearshore developers, fostering a culture of learning and AI tool adoption. Promote clean code practices and modern software design.
• Collaborate on optimizing build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline delivery.

Principal AI Product Engineer

Implementation Specialist

• Consult with clients during the software implementation phase to translate their business needs to functional areas of the platform.
• Lead the technical solution architecture for mid-sized and enterprise accounts.
• Validate and organize large sets of data.
• Attend weekly client meetings and contribute as needed.
• Work closely with internal teams to report on and resolve product enhancements, bugs, and support requests throughout the implementation process.
• Lead implementation discovery, setup and configuration of their product.
• Create and update internal documentation regarding best practices and procedures. Train colleagues on updates.
• Assist in training new team members.
• Periodically assist team members in other departments with support cases.
• Attend product prioritization, stakeholder and update meetings; assist in UAT for product releases.

Implementation Consultant

Product Manager

• Define and own the roadmap for MBR capabilities, including core bill review workflows, reporting, and adjacent features across integrated solutions
• Continuously evaluate where AI-driven capabilities -- such as intelligent document processing, anomaly detection, or workflow automation -- can meaningfully improve client outcomes
• Drive the vision for how the product can adapt to client-specific needs while maintaining reliability, compliance, and transparency
• Balance innovation with the practical demands of enterprise legal and finance environments
• Identify opportunities, including AI-assisted capabilities, that deliver measurable client value without unnecessary complexity
• Write clear product requirements and translate these into epics, user stories, and acceptance criteria for product features; leverage AI writing and analysis tools (e.g., Claude, ChatGPT) to accelerate drafting, summarization, and research tasks
• Partner with engineering, design, and data teams to deliver features with appropriate guardrails and quality standards
• Define and track success metrics including adoption, operational efficiency, and client retention
• Draw upon Agile and project management skills to increase engineering effectiveness and execution velocity; use AI-assisted tooling where appropriate to reduce overhead on documentation, sprint planning, and backlog grooming
• Act as a translator between business stakeholders, technical teams, and clients across different functional "languages" (Engineering, Sales, Services, Finance)
• Present, demo, and influence customers, prospects, and executive leadership on roadmap decisions
• Bring clients and prospects along on the AI journey, articulating where AI creates tangible value in their workflows and setting honest expectations about what it can and cannot do today
• Develop and align on go-to-market strategies, messaging, and positioning across cross-functional teams
• Lead a globally distributed agile team with empathy and cultural intelligence
• Model an AI-forward PM culture, encouraging the team to experiment with and adopt AI tools that improve how work gets done
• Support engineering teams to ensure agile ceremonies run on time, on budget, and with value across time zones
• Foster alignment, accountability, and velocity across diverse teams

Senior Product Manager, Bill Review

Human Resources

• Provide HR compliance and best-practice guidance to U.S.-based small and medium-sized businesses.
• Consult with clients via phone and written communication to address a broad range of HR-related questions and concerns.
• Research federal, state, and local employment regulations to ensure accurate and practical guidance.
• Deliver timely, professional, and easy-to-understand recommendations that support client decision-making.
• Manage client inquiries while consistently meeting established service level expectations.
• Serve as a senior HR resource for both clients and internal team members.
• Support knowledge-sharing initiatives and provide formal or informal mentoring to colleagues.
• Assist leadership in identifying knowledge gaps and developing team expertise in specialized HR topics.
• Contribute to the creation and enhancement of compliance resources, articles, guides, webinars, and educational content.
• Identify opportunities to improve workflows, processes, and service delivery models.
• Lead departmental projects, programs, and cross-functional initiatives as needed.
• Proactively recognize and manage client escalations while maintaining positive customer relationships.
• Ensure alignment with service scope, established workflows, and operational standards.
• Collaborate with internal stakeholders to drive company objectives and enhance the overall customer experience.
• Perform other responsibilities and special projects as assigned.

HR Advisor IV

Backend Engineer

• Authoring code for implementing features for the product using Python/React.
• System Design & Task Decomposition: Break down high-level product goals into well-defined, modular engineering tasks that can be executed by team members.
• Code Review & Validation: Conduct in-depth reviews of both human and AI-generated code, ensuring quality, security, scalability, and alignment with domain requirements.
• Architectural Oversight: Ensure design plans created by both human engineers and AI tools adhere to architectural decisions with a focus on modularity, bounded contexts, etc.
• AI-Integrated Development Lifecycle: Develop and optimize CICD pipelines that incorporate AI agents, automated testing, and intelligent code reviews.
• AI-Oriented Prompt Engineering: Design and test structured instructions, prompts, and specifications to drive accurate, context-aligned output from AI agents.
• Documentation and Domain Clarity: Contribute to the development of domain models, technical documentation, and internal knowledge bases to support AI performance and team activity.
• Serve in an on-call rotation (DevOps philosophy where you will participate in ops) and respond promptly to any production issues to remediate rapidly.
• Be a teammate, help other teammates resolve complex problems or think through design/architecture challenges. Be available and responsive.
• Write secure code. Avoid introducing an OWASP vulnerability. Know how APIs are secured, sessions are handled, and data is validated properly.
• Mentor others and foster an excellent engineering culture based in trust, accountability, character, and honesty.
• Seek feedback and deliver constructive criticism (e.g., code reviews) in a tactful and empathetic manner; build others up and mentor without ego.

Senior Software Engineer – Python, React, AWS

Analyst

• Coordinate and manage end-to-end intake of third-party requests, ensuring accurate data entry, proper routing through governance workflows, and completeness of records across tracking systems.
• Maintain and audit third-party risk assessment records, flagging outdated, incomplete, or inconsistent data for timely resolution.
• Support annual and ad hoc vendor risk audits, providing documentation and escalating discrepancies or workflow gaps to senior team members.
• Identify opportunities to automate and streamline third-party intake, request management, and data maintenance, supporting implementation efforts where appropriate. processes, and drive or contribute to implementation.
• Monitor workflow adoption and escalation trends to surface recurring gaps and inefficiencies, translating findings into actionable improvement recommendations.
• Support executive reporting on program operations, risk trends, and maturity metrics to enable data-driven decision-making.
• Maintain accurate training records across compliance programs, monitoring completion data to identify gaps and ensure timely resolution.
• Serve as a cross-functional point of contact for compliance tracking inquiries, helping teams navigate training requirements and reporting processes.

Junior Third Party Analyst

Customer Support

• Serve as the first point of contact for client/applicant inquiries across phone, email, chat, and support portal
• Gather and assess information to understand issues and provide effective solutions
• Research, troubleshoot, and resolve issues within established SLAs
• Communicate workarounds, next steps, or escalations clearly and professionally
• Accurately document all client/applicant interactions and case details
• Prioritize and manage cases based on severity and urgency
• Meet weekly/monthly customer satisfaction (CSAT) and performance goals
• Collaborate and support all internal teams/products to resolve complex or escalated issues

Customer Service Representative

Product Designer

• Partner with Product Management to plan and run discovery (customer interviews, journey maps, competitive research, lightweight artefacts) that clarify user needs, opportunities, and success metrics.
• Collaborate with Product and Engineering to translate requirements into user flows, wireframes, hi-fi UI, and prototypes that balance user needs, technical constraints, and business goals.
• Produce design deliverables across the full range of fidelity—from early concepts to polished specs—while applying design system standards and WCAG accessibility guidelines.
• Use research, testing, and feedback loops to confirm design decisions, reduce rework, and balance user value, technical constraints, and business goals.
• Ensure a cohesive experience across your product area by reviewing development implementation and maintaining consistency across the suite.
• Communicate design rationale clearly to your immediate team and cross-functional partners.
• Contribute to team workflows, design libraries, and practice improvement; actively participate in critique.

Customer Success Manager

• Responsible for the engagement, adoption, and promoting the value of Mineral.
• Serve as a point of contact and liaison for Mineral – including proactive partner/client outreach as needed.
• Assist with sales training across all product lines to channel partners as needed.
• Consult with partners/clients to identify product goals, resources, timelines, and set appropriate expectations.
• Advise partners and clients regarding new products and special customized solutions.
• Collaborate closely with Account Management team to support renewals and expansions.
• Participate in the development and delivery of training and webinars for partners/clients that increase overall adoption and engagement.
• Collaborate with Account Managers on go-to-market strategies that increase adoption of our services and products.
• Utilize Salesforce and other internal tools (Gainsight, Mineral) to ensure pertinent information is reaching the correct teams and workspaces.
• Provide monthly updates on goals, adoption, value, and retention rates, and goal attainment.
• Attend industry events as needed.
• Other duties as assigned

Account Manager

• Own and grow a portfolio of accounts — your primary measure of success is net revenue retention and expansion above 100%.
• Build account plans with top customers that focus on mutual-success and customer value, with clear revenue targets and growth milestones for each account.
• Hunt relentlessly for expansion opportunities: negotiate multi-year renewals, drive annual price increases, and identify upsell and cross-sell motions.
• Develop and execute a rigorous pipeline of annual sales and revenue retention targets, with consistent forecasting accuracy.
• Conduct quarterly value-based reviews and discussions with top customers (business reviews, cadence calls), always walking in with an agenda tied to growth, not just relationship maintenance.
• Assist leadership in building and maintaining a retention and new revenue forecast.
• Handle customer calls and inquiries in a prompt and courteous manner with customer experience and resolution as a focus point.
• Work with other customer-impacting departments to ensure our customers have a world class and successful experience with all Mitratech's solutions.
• Keep up to date knowledge of the industry, as well as the competitive posture of the company.

Program Manager

• Lead our B2C and client digital engagement strategy across the full customer lifecycle.
• Drive awareness, onboarding, engagement, retention, and lifetime value through personalized, omnichannel digital experiences.
• Develop and execute a comprehensive B2C digital engagement framework and customer adoption strategy aligned to company customer engagement objectives.
• Partner with teams to identify opportunities to increase product usage, engagement and customer health.
• Oversee digital customer programs across email, SMS, push notifications, in-app messaging, social, and web personalization.
• Define segmentation frameworks and personalization strategies to improve engagement and relevance.
• Design lifecycle journeys from acquisition through retention and advocacy.
• Optimize programs that accelerate customer onboarding, engagement, win-back, and loyalty.
• Increase customer lifetime value (LTV) through data-informed engagement tactics.
• Establish KPIs and reporting dashboards to measure engagement, retention, and revenue impact.
• Leverage customer feedback, A/B testing, experimentation, and behavioral analytics to continuously optimize digital engagement programs.
• Translate data insights into actionable strategies and executive-level reporting.

Program Manager, Digital Engagement

Business Intelligence Developer

• Gather detailed requirements from business teams for new business intelligence and reporting initiatives
• Document requirements and translate them into user stories for the development team
• Design and develop data models to support the reporting and analytics needs of the business
• Work closely with data engineers and developers to ensure the successful delivery of BI solutions
• Test and validate BI deliverables to ensure they meet the defined requirements and provide the expected value
• Coordinate with business stakeholders to gather feedback, address issues, and manage ongoing support
• Demonstrate excellent attention to detail and strong problem-solving skills to identify and resolve data quality issues
• Maintain clear and concise communication with all project team members and stakeholders
• Continuously learn and stay up-to-date with the latest BI tools, technologies, and best practices