Top Remote Jobs in St. Louis, MO

Develop and enhance quantitative financial models supporting Treasury, asset liability management, interest-rate risk, mortgage hedging, pricing, profitability, and portfolio risk decisions. Analyze fixed income, derivatives, duration, convexity, stress scenarios, deposits, and prepayments. Automate workflows with Python and Excel/VBA, modernize analytics in Snowflake, document model governance, and communicate insights to Treasury, Risk, Credit, Product, and portfolio leaders.

Recruit clinical and operations candidates in a high-volume, fully remote environment. Responsibilities include partnering with hiring managers, managing requisitions, sourcing, screening, interviewing, pipeline development, background checks, offer negotiation, onboarding coordination, ATS maintenance, compliance monitoring, and using recruiting metrics to improve efficiency and candidate quality.

Own the full sales cycle for high-value small-business customers, including inbound and outbound prospecting, product demonstrations, lead qualification, objection handling, deal closing, and onboarding routing. Build and refine scalable outbound and sales processes, use AI tools to improve productivity, identify customer trends, and provide structured feedback to product teams.

Lead Teachable’s brand and content function, including brand identity, narrative, creative output, content strategy, events, PR, and earned media. Manage internal leads and creative talent, external agencies, campaigns, and cross-functional partnerships. Set strategic and creative direction, oversee events and communications, establish performance metrics, and align brand initiatives with business goals. The role also requires mentoring leaders and maintaining a consistent brand experience across channels and audiences.

Drive new-logo acquisition for corporate customers (up to $50k ARR) by managing prospects through complex, multi-threaded sales cycles. Hit quota, own territory with SDR partnerships, develop account-based strategies, lead demos, use sales tech stack, forecast accurately, coordinate with partners/VARs, and collaborate across Sales, Sales Engineering, and GTM teams to scale outbound messaging and close deals.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Own go-to-market strategy and execution for YCharts data products, partnering with Product, Marketing, Sales, and Customer Success. Responsibilities include launch planning, product positioning, messaging, sales enablement, customer and competitive research, internal and external communications, and coordinating multiple concurrent launches. The role translates complex financial products and market data into clear customer value for wealth managers, advisors, and asset managers.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.