Top Hybrid Senior Level Jobs

As a Product Manager at OnCorps AI, you'll develop AI-driven financial solutions, manage project lifecycles, and ensure alignment with financial regulations. Responsibilities include product strategy, managing technical delivery, and stakeholder engagement.

The Senior Marketing Manager will lead the Graphics marketing team, oversee P&L responsibilities, drive growth initiatives, and develop business strategies for product management.

The Commercial Sales Manager will lead regional sales strategy, drive revenue growth, manage strategic accounts, and provide market intelligence to optimize channel performance.

The Product Marketing Manager at Cohere will create and execute marketing strategies for AI products, focusing on product adoption and competitive differentiation while collaborating with cross-functional teams.

The Proposal Specialist leads proposal development initiatives, ensuring high-quality RFQs, marketing materials, and strategic content to elevate company competitiveness and client engagement.

The MATOC Manager oversees the administration and performance of MATOCs for major capital programs, ensuring compliance and quality service delivery while managing multiple contracts and projects.

The role involves overseeing financial integrity and operations for manufacturing plants, managing a finance team, and ensuring compliance with regulations and internal controls while partnering with leadership for strategic decision-making.

As a Senior Staff Software Engineer, you will lead technical strategy in cloud architecture, ensure system interoperability, oversee AI-enhanced development, and promote security and compliance in an IoT environment.

Lead the Customer Success team by driving onboarding, engagement, and retention strategies, while managing high-value accounts and collaborating with product and sales.

Design and implement agentic AI systems, ship full-stack features, construct ML pipelines (ingestion, embeddings, RAG, vector search, graph DB), evaluate and improve LLM agent reasoning, prototype LLMs, and build scalable infrastructure for long-running multi-step agents while working directly with customers and leadership.