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The Growth Coordinator will drive audience acquisition, engagement, and pipeline generation across ACLED's segments by owning and executing growth strategy across channels like email, webinars, and events. This role involves building and scaling programs to convert the global audience into active users, partners, and customers through cross-functional collaboration.

The Tech Lead will partner in client possibilities by designing scalable and secure solutions that simplify people's lives, acting as a technical reference and facilitator between product, engineering, and operations. Responsibilities include leading technical architecture, guiding development teams on quality practices, mentoring engineers, coordinating deliveries, and ensuring application performance and security in production.

Design, build, and scale high-performance backend services and distributed systems for the blockchain RPC platform. Collaborate across teams to optimize infrastructure, improve uptime, and drive engineering standards.

The Senior PySpark Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines to support advanced analytics and decision-making using PySpark and distributed processing. This includes developing data models, implementing efficient transformations, managing data solutions for analytics, and ensuring data quality through monitoring and troubleshooting.

The Senior Storage Engineer will own the performance, stability, and reliability of core storage infrastructure supporting high-frequency trading workloads. They will design data lifecycle strategies, improve automation, and ensure seamless integration with compute environments like Kubernetes and HPC.

Design and implement scalable, AI-enabled full stack solutions using C#/.NET and Python microservices. Lead the development of multi-agent AI systems, RAG pipelines, and enterprise copilots while mentoring junior engineers.

Lead and develop a team of Product Managers and Designers while driving the transformation of the Product function toward AI-augmented workflows. Partner with Engineering and Delivery leadership to improve execution and delivery outcomes.

The Support Engineer will interact with users to understand their needs and resolve technical issues, including responding to client requests, analyzing, and troubleshooting malfunctions. They will ensure the stable operation of the company's IT infrastructure by using monitoring tools and analyzing logs for diagnostics.

The role involves owning the C++ systems layer for the QVAC local AI inference backbone, focusing on runtime quality like startup behavior, memory pressure, and stability. Responsibilities include leading a cross-functional pod spanning C++ inference engines to JavaScript applications to ensure reliable and performant local AI capabilities.

The Senior Customer Success Manager will act as a trusted advisor, driving adoption and value realization for strategic customers across the Marketing, Social, and Advertising product suite by bridging business objectives and platform capabilities. This involves leading strategic technical relationships, owning the end-to-end adoption lifecycle, coordinating cross-functional teams, and delivering stakeholder-specific enablement.

The manager will drive Maple's content strategy across all channels, owning SEO, product launches, and editorial roadmaps to establish thought leadership in onchain asset management. They will also manage the social presence and build credibility through earned media and PR agency relationships.

The Developer Experience Manager acts as the primary point of contact for developers, managing operational processes such as reporting, payments, and engagement support. They ensure that developer requests are resolved efficiently while collaborating with internal teams to maintain smooth project operations.

The Demand Generation Lead will develop and execute multi-channel campaigns to drive enterprise lead generation and funnel growth. They will also manage brand strategy, content creation, and marketing analytics to optimize ROI and align with sales goals.

The Developer Experience Manager acts as the primary point of contact for developers, managing operational processes such as reporting, payments, and engagement support. They ensure that developer requests are resolved efficiently while collaborating with internal teams to maintain smooth project operations.

The Senior Data Scientist will act as a Full Stack professional, leading ML projects from raw data to production, which includes developing and maintaining data and ML pipelines focusing on automation and scalability. They will also build, deploy, and monitor Machine Learning models while technically leading initiatives from diagnosis to delivery.

You will design and operate scalable AWS infrastructure while collaborating with engineering teams to streamline development workflows. Additionally, you will manage CI/CD pipelines, implement monitoring tools, and troubleshoot production issues to ensure system resilience.

The role involves developing, implementing, and administering solutions within the Microsoft Azure environment, focusing on structuring and reviewing cloud architectures for security, scalability, and high availability. Responsibilities also include managing key Azure services, automating CI/CD pipelines and Infrastructure as Code (IaC), monitoring performance, and resolving incidents to ensure system stability.

The role involves owning the social media strategy and content calendar for scientific projects, primarily on X and LinkedIn, and creating thought leadership content like technical blog posts and discovery announcements. Responsibilities also include translating complex science into engaging social content and developing visual assets like animations and graphics.

The Technical Project Manager will own and maintain engineering boards across data sub-teams, managing backlogs, sprint cycles, and enforcing intake processes, while also tracking client-specific custom deliverables across the agency's 650 clients. This role involves coordinating workstreams across data engineering, architecture, analytics, BI, and tagging, and utilizing AI tools like Claude AI for reporting and workflow optimization.

As an Automation Specialist, you will design and configure workflows within Airtable based on detailed process maps. You will also implement changes quickly and resolve issues related to automation scripts and permissions.


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