Lead the global brand strategy and corporate narrative to position the company as the leading AI platform for financial advisors. Oversee integrated marketing campaigns, PR, and content ecosystems to drive brand sentiment and pipeline growth.
Jump
16 Remote Job Openings at Jump
The role involves acquiring and growing relationships with large financial institutions through the full sales cycle from prospecting to closing. You will collaborate cross-functionally with product and customer success teams to deliver tailored AI solutions that drive business outcomes.
Lead the vision and execution of a scalable, multi-tenant data platform and manage the data engineering team. Partner with AI engineers to build an intelligence layer that transforms raw data into actionable decisions for clients.
Lead and mentor a team of mobile engineers to build high-quality consumer iOS and Android applications. Partner with Product and Design teams to deliver scalable mobile experiences within a multi-tenant architecture while integrating AI-assisted development practices.
Lead the technical direction and architecture of the consumer-facing platform while maintaining a hands-on role in the codebase. Define AI-assisted engineering workflows to increase team velocity and mentor engineers to raise the bar for quality.
Develop and ship high-quality, well-architected code for an AI assistant targeting financial advisors. Collaborate with a small, efficient team to build smarter workflows and enterprise-grade security features.
Design and execute localized marketing programs and hosted events to drive sales velocity and pipeline growth. Act as the primary liaison between marketing and regional sales teams to convert enterprise prospects into partners.
Own the market positioning and go-to-market strategy for the enterprise segment, focusing on value propositions and compelling narratives. Lead product launches, develop sales enablement playbooks, and partner with product management to define the roadmap.
The Senior ABM Manager will develop and execute multi-channel 1:1 and 1:few marketing programs to penetrate high-value financial accounts. This role acts as a strategic partner to the Enterprise Sales team to accelerate pipeline velocity and acquire new logos.
Lead the market positioning and go-to-market strategy across the entire product portfolio to drive adoption and revenue. Responsible for defining value propositions, creating sales enablement playbooks, and building a high-performing product marketing team.
The Growth Marketing Sr. Manager will own lifecycle growth experiments and design and run experiments across onboarding, activation, retention, and expansion. This role will also involve identifying friction points in the user journey and proposing tests to address them.
The Sr. Director of Demand Generation will own pipeline creation and acceleration, managing multi-channel campaigns to drive qualified demand and revenue impact. This role involves collaborating with sales and RevOps, optimizing performance, and building a high-performing team.
The Senior Software Engineer will be responsible for building and maintaining internal tooling to enhance Marketing and Sales velocity, owning the end-to-end Go-To-Market (GTM) systems stack for reliability and data quality. Key tasks include integrating product events into CRMs like HubSpot/Salesforce and managing data synchronization between the data warehouse (BigQuery) and CRM systems.
The Strategic Account Executive will architect end-to-end strategies for acquiring and expanding partnerships within the world’s largest financial institutions, focusing on securing foundational deals that leverage AI. Key duties include leading targeted strategic pursuits of 'Top 25' global firms, building C-suite relationships, and orchestrating complex, multi-million dollar contract negotiations.
The primary focus involves designing, building, and running rigorous evaluation frameworks for Agentic Retrieval-Augmented Generation (RAG) pipelines, optimizing aspects like chunking, embedding, retrieval, ranking, and generation quality. This role also includes conducting systematic error analysis across broader AI/ML systems and building diagnostic tooling to attribute failures across the pipeline components.
The role involves software engineering tasks where problem-solving and adaptability to shifting priorities are key. Collaboration and respectful communication within the team are also emphasized.
