Jobs at Livecareer

Lead and execute global SEO strategy for resume products; coordinate cross-functional SEO projects with Product, Engineering, UX and Content; own organic traffic and conversion KPIs; analyze performance and competitors; run audits, keyword research, and linkbuilding; report ROI and refine tactics; leverage data tools and AI/ML to scale organic growth.

Lead design and implementation of agentic LLM-powered automation, build RAG and memory-augmented systems, optimize prompt and model performance, use embeddings and vector DBs, create evaluation frameworks, and collaborate cross-functionally to ship production features.

Lead performance-driven demand generation, growth, and lifecycle marketing. Own marketing's contribution to new and expansion pipeline, align GTM with Sales/Product/RevOps, run paid digital and channel programs, scale ABM and lifecycle, define attribution and funnel metrics, and mentor a high-performing marketing team.

Lead optimization and implementation of international marketing automation and email campaigns. Fine-tune workflows, run A/B tests, introduce new channels, manage cross-team projects, report on performance, and benchmark competitors to improve customer engagement.

Design, develop, and maintain scalable web and microservice-based applications. Deliver clean, testable code, collaborate with cross-functional teams, optimize for high load and reliability, diagnose and fix bottlenecks, and uphold code quality and automation standards.

Support the SEO Leader executing technical and on-page SEO tactics for international sites. Perform audits, competitor analysis, implement optimizations, manage SEO tasks end-to-end, monitor performance, collaborate with Product/Design/Engineering/Content, and contribute to quarterly strategy and traffic/revenue goals.

Lead 0-to-1 retention product initiatives: run deep market and user discovery, validate hypotheses with rapid experiments and MVPs, define strategy and roadmap, partner cross-functionally on GTM and unit economics, mentor PMs, codify launch processes, and advise executives on Go/No-Go decisions.

Senior DBA to maintain, tune, migrate, and secure MS SQL databases (Azure IaaS/PaaS and on-prem). Responsibilities include performance tuning, backups/restores, HA/DR, automation (PowerShell/Python), capacity planning, incident/change/problem management, and documentation to ensure data integrity and reliability.

Lead mobile product vision and roadmap, prioritize and execute app features, drive cross-functional alignment, integrate AI/LLM capabilities, define KPIs, run A/B experiments, and deliver personalized mobile experiences that improve user conversion and retention.

Lead a data science module focused on search and match: drive NLP/ML and LLM/RAG research, build scalable data products (embeddings, vector search, rerankers), collaborate with engineering/product, mentor data scientists, manage projects, and improve search quality using Solr/OpenSearch/Elasticsearch and backend services.

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.