Jobs at Factored

Transform multi-source datasets into structured data, perform statistical analysis, build data models and visualizations, monitor KPIs, identify process improvements, and deliver actionable insights to cross-functional stakeholders. The role uses Tableau and related analytics tools to support product direction, operational efficiency, experimentation, and business growth.

Design, build, and deploy agentic LLM workflows that plan, call tools, maintain state, self-correct, and integrate with external systems. Implement monitoring, evaluation, guardrails, error handling, and human-in-the-loop checkpoints for safe, long-running multi-step agent executions.

Drive net-new enterprise customer acquisition from lead generation through contract closure. Build C-level relationships, develop account strategies, manage CRM pipelines and forecasts, negotiate complex contracts, and close large AI, machine learning, and data talent engagements. Partner with marketing, customer success, and talent teams to deliver customer outcomes and expand Factored AI’s enterprise footprint.

Design, optimize, and deploy Retrieval-Augmented Generation systems and large language model applications for clients. Responsibilities include fine-tuning models, improving retrieval and generation performance, building GenAI product frameworks such as search, chatbots, and summarization tools, establishing ML infrastructure, writing scalable production code, and providing technical leadership on AI/ML opportunities.

The Engineering Manager will oversee the Software Engineering Center of Excellence, improve processes, mentor teams, and ensure high-quality project delivery while collaborating with stakeholders to meet client expectations and operational goals.

Lead end-to-end scoping and proposal development for solutions engineering engagements. Define scope, assumptions, and SOWs; build reusable templates, estimation models, playbooks, and automation specs; streamline handoffs with Partnerships; analyze scoping accuracy and improve delivery kits. Act as proactive problem-solver and process owner to make engagements repeatable, well-priced, and operationally efficient.

Serve as a trusted HR partner advising managers and employees on employee relations, performance coaching, investigations, change management, and workforce planning. Drive engagement and retention through data-driven programs, ensure compliance with labor laws, support People initiatives, and partner with leaders to build an inclusive, high-performance culture.

Lead design, scaling, and operations of technical training programs for engineering talent. Build measurement frameworks, manage capacity, coach instructors, align training with business needs, and drive ROI and continuous improvement across AI, ML, and data learning initiatives.

Lead and scale enterprise account management to drive expansion, NRR, and multi-year commercial growth. Directly manage strategic multi-million-dollar accounts, coach and develop AMs, build account strategies and expansion pipelines, partner with Delivery, and create repeatable operating discipline to make account growth predictable and scalable.

The Analytics Engineer will design, develop, and maintain data infrastructure and analytics solutions, ensuring data quality and collaborating with stakeholders.

Seeking a Software Engineer with 5+ years in AI/ML to design and implement scalable web APIs and applications, focusing on generative AI solutions, while engaging cross-functional teams and mentoring junior developers.

Partner with Account Executives to lead technical discovery, design ML/AI system architectures (RAG, agents, evals, MLOps), scope engagements, produce proposals and reference architectures, hand off to delivery, and maintain reusable solution patterns to win and deliver AI/ML projects.

As an MLOps Engineer, you'll deploy machine learning models, design workflows for training and deployment, manage infrastructure, and collaborate with teams to optimize processes and ensure compliance.