Jobs at Mitratech

Build and operate intelligent agent systems on an AWS-native GenAI platform. Implement AI-enabled features and RAG/agent workflows, design and deploy small services, maintain CI/CD, participate in on-call support, contribute to design reviews, mentor junior AI engineers, and collaborate with product, data, and platform teams.

Provide timely phone and ticket-based support to law firm contacts, resolve and escalate complex issues, manage data entry and inbox tasks, use Zendesk/CRM and AI tools, prioritize workload, cross-train team members, and support departmental projects and initiatives.

Design, build, and operate production-grade generative AI systems: multi-agent orchestration, end-to-end RAG pipelines, LLM evaluation and integration, scalable AWS-based AI infrastructure, CI/CD for models, observability, data validation, and evaluation frameworks to ensure quality, attribution, and resilience.

Identify and qualify inbound and outbound B2B prospects, perform high-volume outreach, research target accounts, schedule meetings for Account Executives, manage pipeline in Salesforce, and participate in training and coaching to progress into an Account Executive role.

Serve as a hybrid Scrum Master/Product Owner for a software team: lead projects, write and prioritize user stories, run Scrum ceremonies, manage releases and UAT, remove blockers, coach the team, communicate risks to leadership, and champion AI enablement for workflows and code review.

Designs and delivers live and asynchronous training across Mitratech HR products to drive adoption and renewals. Creates eLearning, videos, support docs, manages a training request queue, analyzes engagement data, partners cross-functionally, and reports training KPIs.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

Lead end-to-end AI product work across Mitratech's shared AI platform and customer experiences. Set strategy and roadmap, convert ambiguous problems into shipped, enterprise-grade features, partner with engineering and design, prioritize based on customer feedback, and represent products to senior stakeholders and customers.

Lead and scale a global Talent Acquisition function across regions, design a standardized operating model, drive digital transformation and AI/automation in recruiting, manage multi-regional teams, ensure compliance and DEIB strategy, own ATS optimization and analytics, and support full-cycle recruiting for senior roles.

Lead technical direction for a major product domain, reduce architectural debt, mentor engineers, standardize AI-agent workflows, and design scalable backend solutions integrating LLMs and cloud services. Drive cross-team RFCs, cookbook standards, and adopt agentic AI tooling while balancing security, quality, and delivery.

Lead technical direction for data platforms, design and maintain data pipelines for reporting and AI (RAG, embeddings, vector stores), reduce architectural debt, mentor engineers, partner with product leadership, and represent Mitratech externally.

Support delivery of GRC and data protection services by assisting senior consultants with risk reviews, audits, remediation tracking, vendor assessments, policy reviews, stakeholder engagement, and project documentation. Conduct remote and onsite client visits and stay current on privacy law and security best practices.

Lead end-to-end learning design and development: conduct needs analyses, define strategy and metrics, create scripts/storyboards, build interactive eLearning in Articulate, package SCORM/xAPI modules, manage LMS, evaluate impact, and mentor L&D peers while partnering with SMEs and HR leaders.

Lead end-to-end learning design and development: perform needs analysis, define strategy and success metrics, create scripts/storyboards, build interactive eLearning in Articulate Storyline and Rise, publish SCORM/xAPI modules, configure LMS, produce multimedia assets, manage SMEs, evaluate program impact, and maintain QA and development standards.

Lead Customer Success and retention for background screening clients, driving product adoption, renewals, up-sell, and operational improvements. Partner cross-functionally with Product, Compliance, Operations, and Sales, manage global retention teams, integrate acquired teams, and serve as executive escalation for critical accounts. Use analytics (TAT, accuracy, churn, NPS) to inform strategy.

Lead and build the AI Quality & Governance platform: observability, evaluations, guardrails, SLOs, and incident playbooks. Design automated and human-in-the-loop evaluation pipelines, enforce release gates, translate governance frameworks into engineering controls, partner with product teams on AI incidents, and hire and grow a hands-on engineering team while contributing substantial production code.

The Sales Consultant will collaborate with clients to provide tailored technology solutions, support the sales process, and leverage industry insights to drive revenue growth.

Lead end-to-end design of complex enterprise SaaS features, using AI-native tools to drive discovery, interaction design, prototyping, and design-system contributions. Collaborate with product and engineering, mentor designers, advocate for users, and deliver implementation-ready outputs that influence product strategy.

Own and grow a portfolio of customer accounts to achieve net revenue retention and expansion. Build account plans, identify upsell/cross-sell opportunities, negotiate renewals and price increases, forecast revenue, run quarterly business reviews, handle customer inquiries, and coordinate with internal teams to ensure customer success.

Serve as the bridge between business stakeholders and development for internal data initiatives. Own intake, discovery, and requirements documentation for analytics, BI, and reporting. Write user stories, acceptance criteria, data definitions, and reporting logic. Maintain a prioritized backlog, support stakeholder validation of prototypes, participate in agile ceremonies, and resolve requirement gaps and risks to ensure development can execute independently.