Top Remote Jobs in San Diego, CA
The Territory Sales Manager oversees project sales and technical specifications within the Power & Industrial / Oil & Gas sectors. Responsibilities include interacting with various stakeholders, supporting major project development, and participating in trade shows, requiring substantial travel at about 75% of the time.
The Account Executive is tasked with generating new business, developing marketing materials, and managing relationships with mortgage brokers. Responsibilities include training clients, assessing loan applications, maintaining compliance, and daily client interaction to solicit new business.
As an Inside Sales Representative at Yelp, you will sell advertising to local businesses through a high volume of outbound sales calls. Your responsibilities include educating clients about Yelp's advertising programs, managing a pipeline in Salesforce, and achieving monthly sales goals within a supportive remote team environment.
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The Principal Software Engineer at Shield AI will work on the integration of Hivemind Edge, Design, and Commander into an integrated product. Responsibilities include technology strategy ideation, iterating rapidly with customer feedback, and creating reference implementations.
The Outside Sales Account Executive at Xplor is responsible for developing and maintaining relationships with small to medium-sized businesses, managing sales pipelines in Salesforce, closing sales of payment processing services, and collaborating with various departments to onboard new business. This role requires strong communication skills and a proactive approach to sales.
The Microsoft Purview Compliance Architect collaborates with clients to understand their CMMC compliance needs and designs solutions for data governance and risk management across Azure and Microsoft 365. The role requires expertise in compliance integration and policy development, focusing on data classification and protection policies to meet CMMC standards.
The Commercial Finance Sr. Manager is responsible for analyzing financial data, supporting strategic decision-making, and managing forecasting and budgeting processes. This role includes leading financial reporting, developing financial models, and enhancing financial statements while collaborating with various departments and mentoring team members.
As a Solutions Consultant for Palo Alto Networks, you'll provide technical leadership and expertise in guiding customers through their security transformation journey. You'll define solutions that secure customers' business imperatives, meet sales quotas, and engage in discovery to understand technical and operational needs. You'll collaborate with various teams to ensure solution implementation and adoption while leveraging strong communication skills to influence stakeholders through presentations and demos.
The Director Portfolio & Category Strategy will lead the strategic direction for the Perfect Snacks portfolio, develop the Category Management Toolkit, and collaborate across teams to drive category growth. Responsibilities include managing the Portfolio & Commercialization Manager, providing insights through data analytics, and creating a Fresh Snacking category vision alongside the Marketing team.
As a Solutions Architect at Snowflake, you will lead complex migrations from legacy systems to the Snowflake platform. You’ll design migration strategies, work closely with customers to ensure successful transitions, and collaborate with various teams to enhance Snowflake's offerings. You’ll also present technical solutions to both technical and executive stakeholders.
As a Solutions Architect, you'll deploy cloud products for clients, guide them in application development on Snowflake, and collaborate with various teams to improve products and services. You will be hands-on in addressing technical challenges while ensuring knowledge transfer to customers.
The Solutions Architect - AI/ML at Snowflake will design and implement data science solutions leveraging Snowflake's features and partner tools. This role includes advising clients on best practices, building ML pipelines, and collaborating with various teams to enhance product offerings. Hands-on experience with languages like SQL, Python, Java, and Scala is essential, along with a deep understanding of the data science lifecycle and MLOps.
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