Jobs at Mitratech

Build and maintain full-stack features across a Ruby on Rails monolith and Go microservices. Develop candidate portals, partner integrations, I-9 workflows, adjudication tools, asynchronous vendor pipelines, and AI-powered document and automation features. Own work end to end, including testing, code review, deployment, monitoring, and major user experience paths. Work with PostgreSQL, REST APIs, webhooks, OAuth, SFTP, and server-rendered frontends.

Set technical direction for AI platform architecture across multiple engineering teams while building production Python systems. Develop agent orchestration, tooling, governance, evaluation, cloud-native services, data persistence, security, testing, CI/CD, and observability patterns. Serve as a technical advisor and embedded expert on complex initiatives, influence roadmaps and staffing, and mentor engineers across the organization.

Own product marketing for the GRC portfolio, including positioning, messaging, persona segmentation, competitive intelligence, win/loss analysis, product launches, go-to-market execution, and sales enablement. Build reporting frameworks connecting marketing activity to pipeline, win rate, and retention. Design AI-assisted workflows and agents to automate competitive monitoring, launch production, and enablement content. Collaborate with product, sales, customer marketing, analyst relations, and demand generation teams.

Own go-to-market execution for legal technology products, including launches, positioning, messaging, sales enablement, customer and competitive research, campaigns, webinars, events, and digital programs. Collaborate with product, engineering, sales, and customer success teams to align GTM activities, track pipeline and engagement results, and improve growth outcomes. The role also requires strong writing, project management, stakeholder communication, and customer empathy.

The Account Executive is a remote, net-new business hunter responsible for building a pipeline from scratch through prospecting, cold outreach, referrals, and relationship development. The role involves selling background screening solutions, closing new accounts, cross-selling products, maintaining CRM data, addressing pre-sale questions, monitoring industry trends, and traveling regionally or nationally. Success requires autonomy, patience through a longer ramp period, strong executive communication, and proven B2B sales performance.

Processes employment, education, license, certification, and reference verifications for pre-employment screening clients. Contacts employers, schools, boards, applicants, and third-party verifiers by phone, email, and fax; researches databases and documents; evaluates information; records detailed notes; prepares accurate screenings; protects personal identifying information; and meets production and quality standards.

Provides technical leadership and architectural oversight for scalable AI-integrated software. Designs agentic AI systems, MCPs, APIs, RAG solutions, microservices, and prompt strategies; decomposes product goals into engineering tasks; reviews human- and AI-generated code; mentors distributed developers; and improves DevOps and CI/CD pipelines with AI-enhanced testing and reviews.

Processes public-record information for pre-employment background screening applications. Reviews vendor data, applicant consent forms, criminal records, credit inquiries, and international documentation; enters information into a proprietary system; analyzes identifiers; and produces accurate, FCRA-compliant reports while protecting confidential personal information.

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.

Manage, configure, maintain, and optimize the NetSuite ERP system. Responsibilities include custom records and workflows, integrations, user support and training, data integrity, reporting, compliance, process improvement, roles and permissions, and system issue resolution. The administrator will support NetSuite modules, middleware integrations, revenue recognition, sandbox-to-production deployments, and cross-functional business process enhancements.

Design, deploy, and maintain enterprise AI agents using BotDojo and approved AI tools. Gather requirements, engineer prompts, configure workflows, integrate agents with systems and databases, provide technical support and training, monitor performance, troubleshoot issues, maintain documentation, and ensure security, privacy, quality, and version-control standards.

Lead technical direction for data platform capabilities: design and maintain data pipelines, reporting models, and data governance to support trusted metrics and AI/LLM agentic workflows. Drive architectural improvements, mentor engineers, collaborate on roadmaps, and represent technical capabilities externally.

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 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 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 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.

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.

Lead and scale a global Talent Acquisition function across regions, build and mentor multi-regional teams, drive process optimization and AI/automation adoption, own ATS strategy (e.g., Greenhouse), develop TA analytics and DEIB recruiting strategy, partner with HR and business leaders on workforce planning, and perform senior full-cycle recruiting as needed.