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Recently posted jobs
Big Data • Information Technology
Perform data analysis and modeling to link customer behavior with growth drivers, build and maintain self-service dashboards, analyze marketing and campaign data, run ad-hoc analyses, leverage SQL/Python/Google Sheets and AI tools, and communicate findings to senior stakeholders and commercial teams.
Big Data • Information Technology
Lead internal AI adoption by owning the AI roadmap, prototyping AI tools, establishing usage policies and cost controls, running enablement programs, and translating experiments into production-grade tooling across engineering and business teams.
Big Data • Information Technology
Design, implement, and maintain native iOS (and hybrid) app features using Swift/SwiftUI. Drive technical decisions, translate designs into high-quality code, ensure app security and test coverage, collaborate with cross-functional teams, and contribute to architecture and product initiatives.
Big Data • Information Technology
Develop, test, and deploy PHP/Symfony features, troubleshoot production issues, refactor legacy code, write unit/integration tests, review peers' code, and design solutions within existing architecture while mentoring teammates.
Big Data • Information Technology
Lead the end-to-end data, analytics, and AI function: own the tech stack, direct analytics engineers/data engineers/analysts, set strategy and priorities, embed data-driven culture, and ensure cross-business trust and measurable outcomes.
Big Data • Information Technology
Perform KYC customer due diligence, payment and product-usage risk assessments, investigate potential fraud, monitor compliance with internal policies, and collaborate with teams to improve prevention processes and reduce risk exposure.
Big Data • Information Technology
Lead and scale the enterprise sales organization: own strategy and operations, drive revenue growth and accurate forecasting, recruit and mentor a team of enterprise sales professionals, create sales playbooks, inspect pipelines weekly, and remove roadblocks to exceed monthly and quarterly targets.
Big Data • Information Technology
Build scalable dbt data models, write custom macros, and maintain core metrics. Implement Python + Airflow automations, manage high-volume pipelines, enforce data quality and monitoring, and partner with analysts to inform commercial decisions.
Big Data • Information Technology
Own the end-to-end blog and website content pipeline, coordinate technical writers, review and fact-check content for technical accuracy and SEO, write high-priority pages, and collaborate with SEO, product, and engineering to scale developer-focused content.
Big Data • Information Technology
Manage the end-to-end blog and website content pipeline: assign topics, brief writers, edit and fact-check technical content for accuracy and SEO, write high-priority pages, and collaborate with SEO, product, and engineering teams to scale developer-focused content.
Big Data • Information Technology
Own and manage the end-to-end blog and website content pipeline: assign briefs, coordinate technical writers, edit and fact-check for technical accuracy and SEO, write priority landing pages, and collaborate with SEO, product, and engineering to align content with product messaging and industry trends.
Big Data • Information Technology
Handle inbound leads via email/phone, qualify prospects against ICP, address objections, answer product questions, and hand off qualified demos to account executives while collaborating with sales team.
Big Data • Information Technology
Lead acquisition and growth across paid, SEO, and affiliate channels. Build and execute an integrated acquisition roadmap, manage high-scale paid budgets for efficient ROAS, prioritize commercial SEO, expand affiliate partnerships, use analytics to optimize conversions, and mentor senior specialists to hit revenue targets.
Big Data • Information Technology
Manage B2B customer relationships, identify and close new opportunities, drive upsell/cross-sell and revenue targets, act as product advocate on technical topics, coordinate internal teams to resolve issues, maintain CRM data, handle renewals and attrition risk, and create value-driven initiatives for customers.
Big Data • Information Technology
Design, develop, and maintain backend services and RESTful APIs with Node.js/TypeScript; optimize PostgreSQL/Prisma schemas and queries; build React/Next.js front-end features; integrate third-party services; monitor alerts, participate in code review, QA, and production deployments; research and introduce new tools and AI integrations; collaborate with product and design teams.
Big Data • Information Technology
Research and evaluate AI agent tools, developer products, and emerging infrastructure; audit developer experiences across product flows; maintain a landscape of agent tooling, SDKs, and competitors; identify integrations with proxy and scraping capabilities; and represent technical direction in external developer communities.
Big Data • Information Technology
Research and prospect strategic accounts, run and optimize outbound email/LinkedIn/phone campaigns, qualify leads, and book meetings for Account Executives. Communicate product value to potential customers and collaborate with sales team to improve outreach and conversion.
Big Data • Information Technology
Own and shape the data product roadmap, translate ML/AI capabilities into product features, define data quality/business logic, lead customer discovery, and partner cross-functionally to deliver outcomes.
Big Data • Information Technology
Lead a Dashboard squad as a hands-on Tech Lead (50% IC): design and build scalable Symfony 7 backend systems, own feature lifecycle, drive architecture (V3 migration), improve testing, observability, and mentor ~14 engineers. Work includes Kafka/Redis integration, Payments integration, outbox patterns, production support, and raising engineering standards.
Big Data • Information Technology
Maintain and optimize a global, high-throughput infrastructure: manage hundreds of servers, multiple Kubernetes clusters, large-scale storage and databases, automate provisioning and deployments, perform capacity planning and performance tuning, and collaborate with product and engineering teams to ensure availability and scalability.



