Top Tech Jobs & Startup Jobs

Lead the Transaction Monitoring Algorithms engineering team and own the full product engineering lifecycle. Responsibilities include developing off-chain and on-chain detection systems, designing high-throughput data pipelines and architectures, improving alert quality, reducing false positives, tuning detection logic, and translating regulatory and customer needs into engineering plans. The role requires hands-on backend development, production debugging, code review, team leadership, and collaboration with product, compliance, customer success, and solutions teams.

Manage Solidus’s organic social media presence across LinkedIn, X, Reddit, Telegram, Discord, and other relevant communities. Ghostwrite and develop the founder and executive brands, engage directly with industry audiences, create and edit multimedia content, monitor performance, and convert social activity into brand awareness and pipeline impact. The role requires fluency in fintech, crypto, AI, and regulatory topics, along with strong cross-functional collaboration and attention to detail.

Lead Solidus Labs’ Tel Aviv Data organization across infrastructure, applications, and integrations. Manage Tech Leads and Staff Engineers while setting technical direction, owning architecture, reliability, delivery, and operational health for systems processing billions of daily events. Remain hands-on with code reviews, architecture, debugging, and incident response. Partner with Product, Compliance, Customer Success, clients, and vendors while mentoring engineering leaders and driving data quality, scalability, observability, and technical debt reduction.

Sell AI-powered trade surveillance and risk monitoring solutions to financial institutions across traditional and digital asset markets. Responsibilities include developing US business, managing the full enterprise sales cycle, meeting revenue quotas, building pipelines, presenting tailored solutions, negotiating complex deals, engaging compliance and risk stakeholders, and partnering with internal teams for deployment. Requires deep financial services knowledge and experience selling complex SaaS solutions.

Sell AI-powered trade surveillance and risk monitoring SaaS solutions to mid-market financial institutions in the United States. Responsibilities include prospecting, pipeline generation, full-cycle sales, quota attainment, negotiations, closing, stakeholder relationship management, and communicating product value to technical and non-technical audiences. The role requires knowledge of financial markets, trading workflows, compliance, risk, crypto, digital assets, and evolving regulatory requirements.

Lead the Transaction Monitoring algorithms engineering team, owning off-chain detection systems and expanding on-chain wallet and protocol monitoring. Drive architecture, data models, detection logic, tuning frameworks, high-throughput data pipelines, roadmap execution, code quality, production debugging, and team development. Partner with product, compliance, customer success, and solutions teams to improve alert quality, reduce false positives, and address customer requirements.

Lead the Transaction Monitoring algorithms engineering team, owning off-chain and on-chain detection systems, data pipelines, architecture, tuning frameworks, and product delivery. Responsibilities include team mentorship, hands-on coding and debugging, high-throughput data system design, regulatory and customer requirement translation, and collaboration with compliance and customer-facing teams to improve alert quality and reduce false positives.

Own the client-facing roadmap for trade surveillance detection products, including algorithm typologies, asset-class coverage, venue coverage, and enrichment data. Define requirements, improve alert quality and explainability, address sales and client coverage gaps, and partner with services and customer success on scalable onboarding outcomes. Demonstrate detection capabilities to clients and prospects while collaborating closely with algorithm, data, sales, and cross-functional teams.

Design and develop robust data pipelines and integrations for financial applications, ensuring high availability and data governance.

Own product marketing for compliance technology across capital markets, digital assets, prediction markets, and agentic AI. Responsibilities include creating sales collateral, leading product launches, conducting sales training, developing messaging and positioning, translating technical concepts into business value, and maintaining competitive intelligence. The role requires strong B2B product marketing experience in fintech or financial SaaS, excellent writing, domain fluency, cross-functional collaboration, and a hands-on execution mindset.