Jobs at Livecareer

Develop recurring reports, dashboards, and performance metrics; analyze user behavior, acquisition, engagement, applications, retention, monetization, and revenue trends; identify risks and opportunities; conduct ad hoc analyses; and present actionable insights to business leaders across finance, product, marketing, and customer service.

Develops budgets, forecasts, financial models, variance analyses, dashboards, KPIs, and executive presentations. Partners with senior management and cross-functional teams to assess performance, evaluate acquisitions, identify trends, support strategic planning, and improve financial modeling processes through automation. Requires advanced financial analysis, scenario modeling, communication, and business-partnering skills in a global, fast-paced environment.

Analyze and optimize systems, workflows, data models, and platform integrations across business units. Translate requirements into technical specifications, coordinate integration projects with offshore teams and vendors, troubleshoot operational incidents, lead UAT, develop reporting and documentation, and provide technical insights that support business growth and platform scalability.

Leads the enterprise strategy and execution for high-volume job ingestion systems, including scraping, ATS feeds, parsing, normalization, deduplication, schema mapping, and event processing. Partners with engineering, search, SEO, mobile, alerts, and go-to-market teams to improve job quality, freshness, latency, engagement, and monetization. Establishes data governance and operational metrics while coaching product managers and communicating technical investments to executives.

Leads search and matching data science initiatives using NLP, LLMs, RAG, machine learning, statistical modeling, embeddings, and vector search. Develops scalable data systems and models from large user datasets, partners with Product, Engineering, and Management, mentors data scientists, manages project risks and schedules, and provides technical leadership for end-to-end product features.

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.

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.

Leads the strategy, roadmap, and execution of search, ranking, matching, and recommendation products for a two-sided marketplace. Oversees algorithmic performance, resource allocation, experimentation, metrics, executive communication, and cross-functional alignment across consumer and enterprise experiences. Coaches product managers and establishes scalable operating rituals while connecting technical improvements to engagement, retention, customer value, and marketplace growth.

Own the end-to-end strategy and roadmap for ExpertApply, an AI-powered job application automation product. Lead mobile-first growth, experimentation, funnel optimization, retention initiatives, and revenue growth. Partner with Engineering, Design, Marketing, Analytics, and leadership to develop features based on market trends, user research, competitive analysis, and quantitative metrics.

Build and maintain client-rendered React microfrontend applications and embeddable widgets within a TypeScript monorepo. Responsibilities include architectural ownership, frontend development, performance and user experience optimization, code reviews, automated quality improvements, feature flags, A/B testing, debugging across mixed codebases, stakeholder collaboration, technical planning, and mentoring less experienced engineers. The role primarily focuses on CSR applications, with occasional SSR and backend orchestration work.

Own the Jobs platform roadmap and coordinate architecture, engineering, data science, analytics, and product teams. Improve job ingestion, cleansing, indexing, search, matching, recommendations, data quality, vendor-feed coverage, and evaluation models at web scale. Define metrics, build dashboards, translate business requirements into end-to-end solutions, and ensure job seeker needs are met across millions of jobs and users.

Design and iterate responsive SEO landing pages, email campaigns, social assets, and other marketing materials. Collaborate with marketing, development, and design stakeholders to define goals, test concepts, improve outcomes, and maintain brand consistency. Present work, support user testing, contribute to design systems, and organize projects in Figma and Jira. The role also requires basic animation, accessibility awareness, and strong visual design execution across digital platforms.

Analyze large payment datasets to identify patterns in acceptance, chargebacks, and fraud. Monitor and forecast payment metrics, build financial and statistical models to assess KPI drivers, recommend processor allocation and anti-fraud improvements, and collaborate with development to implement platform changes and reporting tools to optimize e-commerce payment performance.

Develop and maintain scalable web-based products and distributed microservices using .NET technologies. Responsibilities include translating requirements into applications, writing clean and reliable code, designing for high load and scalability, troubleshooting bottlenecks, collaborating with business and engineering teams, and maintaining code quality and automation.

Lead the design, development, optimization, and maintenance of scalable enterprise applications using Java and Spring Boot. Build high-performance REST, gRPC, and GraphQL APIs; ensure production reliability, security, and scalability; participate in architecture planning and code reviews; collaborate with product, DevOps, and QA teams; mentor junior engineers; and troubleshoot production issues through root cause analysis and long-term remediation.

Principal Engineer responsible for designing scalable, secure, distributed software architectures and guiding development teams. The role includes developing web applications with Microsoft technologies, evaluating tools, conducting code reviews, ensuring architectural compliance, troubleshooting complex issues, and delivering production-quality code and tests. The engineer will collaborate with architects and senior leaders while defining technical standards, workflows, system integrations, and solutions for high-transactional products.

Develop predictive models, NLP and machine learning systems using large user datasets to improve search, matching, recommendations, and other digital products. Build scalable data products with Engineering and Product teams, applying statistical analysis, vector search, LLM/RAG techniques, embeddings, classifiers, and deep learning. Collaborate across teams to research new methods and deliver production-ready software.

Develop predictive models, NLP and machine learning systems using large user datasets to improve products and create new data products. Responsibilities include statistical analysis, scalable data system development, prompt engineering, large language model benchmarking, and agentic workflow experimentation. The role collaborates with Engineering, Product, BI, Legal, and Management teams and may involve production model deployment and backend development.

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.

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.