Top Senior Level Operations Manager Jobs in San Francisco Bay Area, CA

The Lead Industry Manager will oversee the Sales Development team for the US SMB business, leading initiatives to generate new accounts and achieve revenue targets through strategic planning, data analysis, and stakeholder communication. The role requires motivating the team and managing vendor relationships to foster a culture of accountability and performance.

The Technical Enablement Manager will lead enablement strategies for technical product releases and training programs. This role involves developing training for internal teams, translating technical features into business value propositions, and collaborating with various teams to create training materials.

The Chief of Staff position at Earnest involves offering strategic guidance to the CEO, driving high-impact initiatives, crafting compelling materials for stakeholders, and playing a central role in executive-level discussions to ensure alignment and follow-through.

As the Head of Device Software, you will lead the development of software for biometric image capture and anti-fraud systems, manage a high-performing team, create software strategies, and ensure code quality. Your work directly contributes to the operation of the Orb, an advanced biometric imaging device.

The GTM Planning & Operations Manager will scale the central revenue operations function by leading global processes in capacity planning, territory design, commissions, and policies. This role requires creating alignment in GTM efforts and managing a team while working alongside revenue operations leadership to improve infrastructure and strategies.

As the Autonomy Performance Lead, you will manage a high-performing team focused on integrating and enhancing autonomy software systems for vehicles. You will define performance metrics, lead cross-functional collaborations, and manage program priorities to ensure successful technical execution and risk mitigation in the development of autonomous driving software.

As a Senior Engineer, you will develop solutions using LLMs and lead projects, ensuring the design and delivery of production systems for AI communication. Responsibilities include directing API development, designing interfaces for backend audio processing, and improving AI infrastructure components.