Top Tech Jobs & Startup Jobs

Lead and coach Emerging Account Managers to meet revenue and retention targets. Manage hiring, onboarding, performance, forecasting, process improvements, outbound programs, reporting, and hands-on support including pipeline reviews and customer calls.

Lead the presales-to-implementation transition for enterprise SaaS clients, align expectations, create implementation plans, monitor delivery progress, facilitate communication, mitigate risks, and ensure smooth onboarding to drive adoption and long-term partnership.

Design, build, and operate public-facing REST APIs and integration platform components. Implement platform standards (auth, rate limiting, versioning), bulk/batch sync, contract testing, CI/CD, SDKs, and integration marketplace workflows. Own production services end-to-end (monitoring, on-call, incident response) and improve reliability, performance, and developer experience for enterprise integrations.

Design, build, and maintain a shared quality platform and test automation frameworks, including AI-assisted test generation. Integrate automated tests into CI/CD, improve reliability, mitigate flaky tests, create validation tools for AI features, and collaborate with Product, SRE, and Quality Advocates to raise engineering quality across teams.

Build and maintain authentication, authorization, and user management services across web and mobile. Implement IAM features, contribute to scalable identity systems, write secure testable C# and TypeScript code, design/consume REST or GraphQL APIs, document systems, participate in code reviews and on-call rotation, and collaborate with product, design, and engineering teams to improve reliability and developer experience.

Lead and grow a team of 5–6 product developers to deliver high-quality, reliable software. Partner with product and design, champion CI/CD, testing, observability, and provide visibility to leadership while hiring and mentoring engineers.

Own and lead the LLMX internal AI platform roadmap, defining primitives (agents, orchestration, memory, interfaces), evaluation and observability systems, and drive adoption and quality. Partner across product and enterprise teams to shape build vs buy decisions, instrument metrics, and ensure scalable, cost- and latency-optimized production AI services.

Full-cycle B2B Account Executive responsible for new logo acquisition: prospecting, nurturing warm leads, conducting discovery calls and demos, closing deals, forecasting, and managing pipeline using sales systems. Requires meeting monthly/quarterly targets, strong organization, coaching receptiveness, and a startup mentality.

Design and build scalable analytics foundations: data models, quality controls, governance, self-service engineering tools, and optimized transformation pipelines. Monitor and document datasets, collaborate with product/engineering/business teams, and mentor stakeholders to enable autonomous analytics and stable pipelines.

Design, build and operate the Databricks-based data platform: implement reliable batch/micro-batch/streaming ingestion and transformation pipelines, model raw data into production-ready datasets, create platform abstractions and developer tools, improve observability, testing and monitoring, manage data governance/security/compliance, and partner with ML, product and engineering teams.