Jobs at Mitratech

Own the full lifecycle of rapidly incubated B2B software products, from ambiguous problem definition through minimum sellable product, early go-to-market, customer feedback, and business-unit handoff. Lead AI-native engineering pods, manage design partners, maintain product documentation and roadmaps, drive delivery under fixed deadlines, and communicate with customers, sales, and senior stakeholders. Rotate across Legal, Risk, Compliance, and HR problem spaces while helping establish Catalyst’s product development playbooks.

Own and grow a portfolio of customer accounts, focusing on net revenue retention, renewals, upselling, cross-selling, and expansion. Build account plans, manage revenue pipelines, forecast accurately, conduct value-based customer reviews, and resolve inquiries. Collaborate with internal teams to deliver strong customer experiences while maintaining industry and competitive knowledge.

Supports technical escalations by investigating, reproducing, and diagnosing customer issues; communicates with stakeholders; develops and deploys code fixes; performs root-cause analysis; improves documentation and runbooks; and follows secure development practices. The role uses Go and Ruby on Rails, relational databases, SQL, Unix shell scripting, and AI-assisted development tools in a fully remote environment.

Leads the Data and Cloud Platform function supporting Mitratech’s AI organization. Responsibilities include building cloud infrastructure, CI/CD patterns, unified data access layers, agent memory and context systems, ETL pipelines, lakehouse and warehouse architectures, privacy-aware data services, and reusable platform patterns. The role is hands-on, requiring substantial production coding alongside hiring, mentoring, technical strategy, and cross-team collaboration.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

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.

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.

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.

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.

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 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.