Top Blockchain Jobs

Own business operations priorities and cross-functional technical and security projects. Build project plans, coordinate stakeholders, manage timelines and dependencies, collect compliance evidence, improve processes, identify risks and blockers, and drive high-quality execution across People, IT, Finance, Security, and Operations.

Serve as a technical and product expert for institutional blockchain customers, supporting enterprise sales cycles through solution design, technical evaluations, demonstrations, and proof-of-value engagements. Advise financial institutions on Wallet, Nodes/APIs, and Staking products; translate business and technical needs into tailored architectures; collaborate with Product and Engineering; and represent the company at conferences and webinars. The role also develops technical documentation and incorporates customer feedback into product improvements.

Join as one of the first two Account Executives to sell AI agents into ops-heavy industries. Work directly with founders to refine discovery, demos, segmentation, pricing, and a repeatable GTM playbook. Source pipeline, run discovery, close enterprise deals, build CRM and RevOps processes, and mentor the next AEs as the motion scales.

Lead and build Credify's Kampala branch and regional sales function: drive revenue, recruit and coach sales/support staff, manage branch operations and customer escalations, implement CRM and analytics to monitor performance, and collaborate with HQ to scale processes and deliver operational excellence.

Own Bastion’s banking, liquidity, blockchain, payment, embedded-platform, and reseller partnerships. Responsibilities include mapping and prioritizing partner gaps, sourcing and closing agreements, structuring commercial terms, coordinating legal, compliance, product, and engineering integrations, launching distribution programs, generating partner-sourced pipeline, developing partner enablement and co-marketing programs, representing Bastion externally, and scaling the partnerships function.

Build and scale an enterprise GTM motion through partner account relationships: cultivate internal champions, run discovery, craft proposals/SOWs/MSAs, close six-figure+ deals, document repeatable playbooks, and enable partners to carry smaller opportunities.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.

Own end-to-end multimedia production, including video, photography, audio, motion graphics, animation, and podcast content. Develop creative concepts, production plans, workflows, standards, and asset libraries while translating complex technical topics into compelling stories. Lead event coverage, collaborate with brand, communications, social, product, and engineering teams, and manage crews and freelancers. Establish VIA’s multimedia function, evaluate content performance, and deliver timely customer-facing and internal content.

Leads product, technology, AI, regulatory, and licensing communications for Blockchain.com. Owns product launch messaging, earned and owned media strategy, press and influencer relationships, thought leadership, executive social content, award submissions, blog posts, and press releases. Translates complex crypto, financial, technical, and regulatory topics into compelling narratives that build visibility, trust, and adoption across consumer and institutional audiences.

Build and deploy production machine learning systems, primarily recommendation and personalization models. Own projects across problem definition, data pipelines, model training, deployment, monitoring, and optimization. Develop scalable low-latency inference infrastructure, run experiments and A/B tests, and apply ML to fraud detection, abuse prevention, and content moderation. Collaborate with engineering, product, and data science teams in a fast-paced, in-person startup environment.