Top Tech Jobs & Startup Jobs

Supports budgeting, rolling forecasts, financial modeling, scenario planning, dashboards, management reporting, variance analysis, and ad hoc financial initiatives. Partners with department leaders and cross-functional stakeholders to evaluate costs, profitability, revenue trends, and business cases. Communicates financial insights to non-finance audiences and assists Accounting with monthly analysis.

Manage end-to-end accounts receivable, billing, collections, client financial inquiries, and revenue recognition. Analyze revenue performance and variances against forecasts and month-over-month results, prepare financial reports using Excel, and ensure compliance with US GAAP and IFRS. The role also supports accounting operations and requires collaboration with stakeholders in English and Spanish.

Designs and delivers production-grade Generative AI solutions for Fortune 500 clients. Responsibilities include architecting backend systems, data pipelines, APIs, RAG and multi-agent workflows; deploying cloud-native applications; implementing telemetry, security guardrails, evaluations, and cost optimization; advising executives; managing technical risks; and mentoring client teams.

Design, deploy, and optimize large-scale recommender systems and machine learning pipelines. Build recommendation models using architectures such as Wide & Deep, Two-Tower, Transformer, embedding-based, autoencoder, and sequential models. Process data with Databricks and Spark, integrate models into production, monitor performance, conduct experimentation and A/B testing, and collaborate with engineering, data science, and business teams.

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.

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.

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.