Top Tech Jobs & Startup Jobs

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.