Top Tech Jobs & Startup Jobs

Own the end-to-end strategy, requirements, quality, and execution of an AI-powered email product. Partner closely with ML, backend, and client engineers to define system behavior, evaluate model performance, manage trade-offs across quality, latency, cost, reliability, safety, and UX, and establish feedback loops. Drive prioritization, specifications, experimentation, failure handling, and product quality in a technical zero-to-one environment.

Leads the engineering strategy and execution for an AI-powered email application across backend, mobile, and desktop platforms. Designs reliable AI workflows with orchestration, state management, tool use, retries, fallbacks, and failure handling. Builds APIs connecting AI capabilities to product experiences, guides a senior engineering team, makes architecture and scalability decisions, and establishes observability, monitoring, testing, security, and operational excellence in partnership with ML leadership.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to make decisions, launch features, monitor performance, and drive continuous improvements while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and drive continuous improvements. Balance speed, customer experience, business impact, compliance, and operational complexity while making data-informed decisions with high ownership.

Lead application engineering strategy across backend, mobile, and desktop platforms for AI-powered workflows. Design reliable systems with orchestration, state management, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI capabilities to product experiences, lead a senior engineering team, and establish strong production practices for observability, monitoring, testing, scalability, security, and operational reliability.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Own the strategy, requirements, quality, and execution of an AI-native email application. Partner closely with ML, backend, and client engineers to define model and system behavior, evaluation frameworks, product trade-offs, and reliable user experiences. Drive prioritization, experimentation, failure-mode mitigation, and continuous iteration while balancing quality, latency, cost, safety, reliability, and user trust in a fast-moving zero-to-one environment.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs and abstractions connecting AI systems to product experiences, guide a senior engineering team, make architectural trade-offs, and establish strong observability, testing, monitoring, and operational foundations.

Own AI Investing product areas across financial services by defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, writing, stakeholder management, and execution in a fast-moving remote environment.

Leads application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Owns architecture for reliable AI workflows, APIs, orchestration, retries, fallbacks, and failure handling. Leads senior engineers through design and code reviews, mentorship, and technical decision-making. Establishes observability, monitoring, testing, and operational excellence while balancing latency, reliability, cost, security, and user experience. Partners with ML leadership to deliver scalable, robust product experiences.