You will own the full sales cycle from prospecting to closing deals with creators. This includes building outreach campaigns, conducting discovery calls, and refining the sales playbook based on field results.
Remote Jobs & Work From Home Opportunities (204,815)
Sanctions and Compliance Support Specialist (Fraud) 13 APPLICANTS
Extend Your Team
·
Full Time
·
16 Weeks Ago
Extend Your Team
The Sanctions and Compliance Support Specialist will conduct sanctions screening and investigate potential matches against global sanctions lists. They will also review alerts from various platforms, document findings, and assist internal teams with audit requests.
As a Software Engineer, you will build core features that automate how companies share data through slides and documents. You’ll work across the stack on integrations, AI insights, and performance optimization.
You will engage in constant research to understand customer pain points and develop hypotheses to test for informed product decisions. Additionally, you will build software end-to-end, ensuring it meets its intended purpose with a balance of pragmatism and scalability.
Serve as the primary point of contact for customers via phone and email, handling inquiries related to deposit accounts. Manage customer cases end-to-end, resolving issues and documenting interactions accurately.
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Software Sales Agent (Onboarding + Demos)
VIDRUSH AI STUDIOS LLP
·
Full Time
·
16 Weeks Ago
VIDRUSH AI STUDIOS LLP
The Software Sales Agent will run onboarding calls for new customers and help them get set up quickly, as well as host product demos and answer pre-sales questions. They will guide users to the right plan based on their goals and usage while documenting common issues to improve onboarding.
The role involves rapidly building user-facing MVPs and integrating AI agents into applications. You will also prototype new use cases and validate them with real users.
Build and maintain web applications that serve researchers and the science community. Design and implement APIs, databases, and backend services while collaborating with designers and product teams.
The Core Engineer will architect and build high-performance AI agent infrastructure and design on-chain coordination systems. They will also lead technical decisions and collaborate closely with product and science teams.
The computational biologist will validate AI outputs using computational methods and manage the transition from digital predictions to physical experiments. They will also build and maintain validation pipelines to catch errors before lab resources are wasted.
The Science Community Lead will build and manage Discord communities, creating engaging spaces for scientists and researchers. They will host events, connect members, and track community health metrics to drive engagement.
The role involves building and contributing to complex technical systems that support decentralized science. Candidates are expected to help accelerate open science through innovative solutions.
Member of Technical Staff, Exceptional Generalist (Remote)
Inferact
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Full Time
·
16 Weeks Ago
Inferact
You will work across the entire vLLM stack, optimizing CUDA kernels, designing distributed orchestration systems, and implementing new model architectures. Your work will directly impact how the world runs AI inference.
The role involves building distributed systems that power inference at a global scale. You will design and implement foundational layers to enable vLLM to serve models across thousands of accelerators with minimal latency and maximum reliability.
The cloud orchestration engineer will build the operational backbone for vLLM, focusing on cluster management, deployment automation, and production monitoring. The role involves ensuring that vLLM deployments are observable, debuggable, and recoverable.
The role involves optimizing how models execute across diverse hardware and architectures, directly impacting AI inference. The engineer will work at the core of vLLM to push the boundaries of LLM and diffusion model serving.
The role involves writing kernels and low-level optimizations to enhance the performance of vLLM as an inference engine. The engineer will collaborate with hardware vendors to maximize performance across various accelerator types.
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The Senior Business Analyst will analyze and define business and functional requirements for product initiatives, translating business needs into clear user stories and technical requirements. They will collaborate closely with engineering teams to ensure shared understanding and feasibility during the agile development process.
The QA Engineer will design and execute manual test plans, build and maintain automated test suites, and perform exploratory testing. They will collaborate with engineering, product, and science teams to ensure quality and reliability of systems.
The role involves working with an AI talent consultant to match candidates with job opportunities. Candidates will engage with an AI recruiter to discuss their experience and preferences.
The Developer Experience Engineer will own and expand SDKs and other open-source projects, create and maintain example apps, and build developer tools. They will also engage with customers for feedback and help shape the developer experience roadmap.
Design and engineer delightful developer and end-user experiences while building a deep understanding of Feature Flags’ market position. Collaborate with product teams and leadership on new ideas and customer feedback.
As a Product Manager, you will discover user pain points through interviews and research, and define OKRs and roadmaps to address these issues. You will collaborate closely with Product Designers and Engineers to implement solutions and iterate on them.
The Implementation Associate will guide new customers through the onboarding process and configure their accounts to meet specific needs. They will manage multiple projects simultaneously and ensure smooth communication between customers and internal teams.
The DevOps Engineer will work with Alex and Mila to match candidates with the right opportunities. They will assist in understanding candidate experiences and facilitate introductions to hiring managers.
The role involves working with an AI talent consultant to match candidates with job opportunities. Candidates will discuss their experience and preferences with Alex, the AI recruiter.
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The role involves contributing to the company's mission of providing financial systems for SMEs and helping entrepreneurs manage their accounting and finances. Candidates are encouraged to apply from various fields as the company is experiencing significant growth.
You will build and ship LLM-powered features end-to-end, from prototype to production-ready systems. Additionally, you will design retrieval and search pipelines and develop backend services and APIs.
You will work end-to-end on new Agentic AI Agents and manage the safe release of features to customers. Your role will involve a combination of UXD, infrastructure, and machine learning challenges.
The Team Lead Technical Support is responsible for defining the team's vision and strategy while ensuring alignment with company objectives. This role focuses on strategic oversight, resource planning, and performance optimization rather than day-to-day management.
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