Top Tech Jobs & Startup Jobs

Lead strategy and execution for the digital storefront to optimize path-to-purchase and lifetime value. Coordinate cross-functional squads, run advanced A/B experimentation, define metrics and event tracking, prioritize roadmap based on user insights, and collaborate with engineering on technical tradeoffs to drive conversion and revenue.

Lead a data science team to design, develop, and deploy ML/NLP and LLM-based solutions (search, recommendations, content generation/moderation). Convert business requirements into scalable models and pipelines, validate models, collaborate cross-functionally, and recruit and mentor data scientists.

Drive execution and optimization for Bold.pro by translating product strategy into predictable release cycles. Lead cross-functional teams through discovery, sprint execution, and global launches; analyze product and funnel data to scope feature improvements, define success metrics, and iterate post-launch. Manage dependencies, mitigate risks, and coordinate localization and go-to-market readiness for marketplace and monetization initiatives.

Lead a small data science team to research and build NLP/ML solutions (LLMs, RAG, vector search) for search, ranking, and content features; collaborate with product and engineering, estimate and run projects, mentor data scientists, and implement prompt-engineering and agentic workflows to improve user experience.

Lead SDET responsible for translating technical/architectural designs into low-level test solutions, mentoring engineers, developing and owning test automation frameworks, creating API/backend tests, extending API automation, supporting CI, and conducting performance, security, and scalability testing.

Own and operate production ML environments and MLOps infrastructure. Architect and productionize microservices and scalable MLOps pipelines on AWS and Kubernetes, build secure automated CI/CD, design observability to minimize MTTR, lead 24x7 on-call and cost/security optimizations, manage hybrid cloud operations, and collaborate cross-functionally to scale OpenSearch/EMR platforms.

Own and operate production MLOps infrastructure: design end-to-end pipelines, productionize ML/GenAI services, implement monitoring and CI/CD, manage feature/data stores and search infrastructure, handle security/cost optimization, and participate in 24x7 on-call rotations while coordinating cross-functionally.

Serve as primary technical contact for complex B2B enterprise accounts; own post-sale implementation from scoping to launch, manage technical escalations, coordinate cross-functional teams, identify account risks and expansion opportunities, and maintain operational documentation to ensure retention and growth.

Lead QA for AI-driven products, designing QA strategy and frameworks (including LLM-as-a-judge), automating test case generation, overseeing model evaluation, coordinating with product and engineering, and managing and mentoring QA teams to ensure high-quality releases.

Validate BI solutions by building test strategies, plans, and cases for ETL and BI components. Verify SQL queries, validate data sources and transformations, execute manual and automated tests, validate dashboards/reports, and produce test summary reports while collaborating with BI developers and business analysts.