Lokalise
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The Growth Account Manager will manage a high volume of customer accounts, drive revenue growth through cross-sell and upsell opportunities, develop customer relationships, monitor account health, and collaborate with cross-functional teams to achieve revenue targets while maintaining accurate records in Salesforce.
The Senior Analytics Engineer will design and maintain data pipelines, ensure consistent reporting, and improve data literacy among teams. Responsibilities include working with cross-functional teams, optimizing the data analytics lifecycle, and applying best practices in software engineering.
The Partnership Manager will recruit new partners, drive revenue growth, and enable existing partners at Lokalise. This role involves mapping decision-makers, collaborating with sales and customer success teams, and supporting pipeline generation and joint selling activities.
The Full Stack Website Engineer will develop and maintain dynamic and static websites using JavaScript frameworks, migrate websites to a headless CMS, improve SEO performance, and manage deliverables through agile methodologies. Collaboration with the marketing team and strong project management skills are essential.
The Mid-Market Account Executive will manage the full sales cycle, engage mid-market prospects, build a robust pipeline, collaborate with internal teams, exceed sales targets, and track sales activities using Salesforce. The role requires strong B2B SaaS sales experience and excellent communication skills.
As an Enterprise Account Executive at Lokalise, you will manage the full sales cycle for enterprise organizations, leveraging strategic selling techniques to engage senior decision-makers, and develop customized solutions that drive revenue growth. Collaboration with cross-functional teams and effective use of sales tools will be crucial in achieving and exceeding sales targets.
The Engineering Manager will lead a cross-functional team responsible for core translation systems, drive the technical roadmap aligned with business goals, mentor team members, establish software development best practices, and provide technical leadership in AI/ML development to enhance product offerings.