Top Remote Jobs in St. Louis, MO

Lead complex clinical assay development projects from inception to commercialization, managing scope, budget, timelines, and cross-functional teams while ensuring compliance with industry regulations and fostering team development.

The Strategic Account Executive handles sales for State, Local, and Education sectors, driving revenue and maintaining customer relationships.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

As a Senior Enterprise Account Executive at Parsec, you'll drive revenue growth in Nordic manufacturing by acquiring new business and expanding existing accounts. You'll manage multi-stakeholder sales cycles, build relationships, and position Parsec's MOM solutions for Industry 4.0 initiatives.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

The Sales Director will drive customer acquisition for Liftoff, managing the sales lifecycle, client engagement, and collaborating with teams to ensure success. Responsibilities include pipeline management and exceeding revenue targets.

As a Software Engineer, you'll develop software using Ruby, Javascript, and support AWS infrastructure. Responsibilities include maintaining and building applications, contributing to high-end software releases, and mentoring other engineers.

Provide high-volume customer support via phone, email, and chat: triage, troubleshoot, document issues, escalate complex problems, manage expectations, and collaborate with internal teams to improve support processes and product experience.

The VP, Product will define and execute Spark's product strategy, lead a product team, and enhance Medicare distribution through innovative solutions.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.