Jobs at Livecareer

Design, prototype, and operationalize complex prompt systems and prompt-chaining for consumer LLM products. Build evaluation frameworks (automated and human-in-the-loop), optimize for latency and cost, develop versioned prompt workflows and deployment pipelines, and collaborate with ML engineers, PMs, and UX to ensure safe, personalized, and reliable generative outputs.

Lead technical operations for high-volume eCommerce sites: support MarTech and email marketing tools, resolve technical queries, implement client/server GTM and analytics (GA4), write basic SQL, collaborate cross-functionally, and maintain web/email infrastructure and data layer requirements.

Provide actionable insights and reporting to inform product and executive decisions. Develop standardized metrics, dashboards, and scorecards; analyze website click-streams and user paths; support product launches and customer segmentation; build customer engagement reporting and event-stream models; perform ad-hoc analyses in partnership with cross-functional teams.

Lead module-level test strategy and automation for platform microservices. Design and execute API and UI automation, write complex SQL validations, mentor engineers, integrate observability and CI/CD, and improve test reliability and speed through tooling and automation.

Lead prompt architecture, governance, and evaluation for consumer-facing career tools. Design multi-agent and chain-of-thought prompt systems, build CI/CD/versioning for prompts, align strategies with engineering and product, establish safety guardrails, evaluate models and tooling, and mentor the prompt management team.

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.

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.

Design, implement, and maintain complex browser automation scripts and large-scale monitoring systems. Build CI/testing strategies, contribute across the software development lifecycle, collaborate with cross-functional teams, mentor junior engineers, and solve hard automation problems involving DOM complexity and web architecture.

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 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.

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 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.

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.