Top Remote Jobs in Poland

Own the full sales cycle for mid-market customers, from self-sourced outbound prospecting through discovery, product demonstrations, negotiation, and closing. Build multi-stakeholder consensus, develop business cases, manage security and procurement reviews, sell web app and API use cases, maintain accurate CRM data, and partner with growth, product, customer success, and PLG teams to expand adoption of HeyGen’s AI video platform.

Lead platform engineering across infrastructure, CI/CD, testing, developer tooling, observability, and secure software delivery. Build internal platforms, golden paths, and shared tooling that improve developer and AI-agent productivity. Establish engineering standards, integrate security controls into pipelines, shape repositories for coding agents, and measure impact through DORA metrics and engineering feedback.

Build and improve Modash’s large-scale creator search system across retrieval, indexing, ranking, embeddings, relevance, and low-latency serving. Own initiatives end to end, from requirements and architecture through implementation, production deployment, measurement, and iteration. Develop multimodal search capabilities using image, video, text, audio, LLMs, and vector search. Collaborate with data, product, customers, and leadership while balancing quality, cost, latency, and reliability.

Own Salesforce-based email and outreach campaigns that generate consumables revenue across EMEA and the US. Responsibilities include audience segmentation, cadence design, AI-personalized content, sales enablement, e-commerce demand generation, performance reporting, dashboard maintenance, lead handoffs, and workflow improvement. The role partners closely with sales, product management, marketing, and e-commerce teams while optimizing campaigns based on CRM data, buying cycles, reorder patterns, and pipeline performance.

Own growth initiatives that improve website acquisition and conversion. Develop and optimize customer journeys, acquisition campaigns, messaging, content, CRO experiments, and activation initiatives. Use customer research, behavioral insights, quantitative data, and AI to identify opportunities, execute hypotheses, measure results, and iterate. Collaborate with PPC, Design, Sales, Analytics, and Product teams while maintaining ownership of cross-functional initiatives.

Responsible for end-to-end financial accounting and compliance across multiple markets, including month-end close, reconciliations, statutory reporting, tax compliance, audit support, intercompany accounting, and financial reporting. The role partners with finance teams and external advisors, maintains balance sheet integrity, supports process improvements and automation, and contributes to finance transformation initiatives.

Reviews and prepares B2B commercial contracts and waiver documents for the US market, identifying risks, inconsistencies, and required revisions. Coordinates high-volume document workflows, negotiation cycles, version control, and executive review. Uses AI tools for contract analysis while validating outputs manually. Supports outside counsel, disputes, mediation, landlord matters, trademarks, and compliance issues, while communicating recommendations to sales and other internal teams.

Own retention strategy, revenue targets, and lifecycle roadmaps for complex Shopify brand accounts. Manage client relationships, develop advanced campaigns, interpret performance data, lead onboarding, review work, and mentor junior retention managers and marketers. The role focuses on high-value account strategy, full-funnel retention, client leadership, and continuous improvement in lifecycle marketing.

Consultant will accelerate an existing Microsoft Purview Unified Catalog implementation for a real estate and housing client. Responsibilities include scanning data warehouses, CRM, and source systems; organizing governance domains, assets, glossary terms, ownership, and stewardship; managing metadata, lineage, and classifications including PII; and collaborating with business and technical stakeholders to improve catalogue quality and usability. The engagement is approximately 6–8 weeks and requires independent delivery from day one.

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.