Jobs at Livecareer

Own and ship resume and career-document product initiatives from discovery through launch. Use data, research, and experimentation to define requirements, metrics, and experiments. Partner with Design, Engineering, Data, Content, and AI teams, lead cross-functional execution, evaluate results, and scale improvements to increase resume quality, user confidence, conversion, and revenue.

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.

Lead and coach sales and account management teams to grow new business, improve retention and expansion, enforce pipeline discipline in Salesforce, develop sales playbooks, manage performance through data-driven scorecards and forecasts, and partner cross-functionally to translate market insights into go-to-market plans.

Lead and scale a regional sales organization in Puerto Rico, managing Sales Managers and a broader sales team to drive new-business acquisition, retention, expansion, pipeline discipline, forecasting, and cross-functional GTM alignment to achieve multi-million dollar revenue targets.

Design, implement, and maintain large-scale browser automation scripts and monitoring systems. Build CI/testing strategies, debug intermittent failures and complex DOM patterns, collaborate cross-functionally, mentor junior engineers, and contribute across the software lifecycle.

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.

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.

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 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.

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 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.

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 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.

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.

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.

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 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.

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.