Top Hybrid Jobs

Captures, curates, and edits compelling gameplay footage for marketing materials across Nexon’s game titles. Responsibilities include expert gameplay capture, cinematic shot creation in Unreal Engine and Sequencer, strategic planning, footage organization, troubleshooting capture tools, and editing dynamic video content in Adobe Premiere and related Creative Suite applications. The role collaborates with marketing, creative, and game production teams to align content with brand, narrative, and gameplay updates.

Supports recruiting coordination and onboarding by scheduling interviews, communicating with candidates and stakeholders, managing offer documentation and pre-employment requirements, entering new-hire data into HRIS, completing I-9 and E-Verify processes, administering employee referrals, and assisting with new-hire orientation. The role provides administrative support to talent acquisition and HR teams while maintaining confidentiality and delivering a positive candidate and employee experience.

Build AI-powered customer support workflows, tools, integrations, and knowledge systems. Investigate recurring issues, improve AI troubleshooting, automate repetitive support tasks, develop dashboards, and partner with Technical Support, Customer Success, and Product Engineering to improve customer experience and scalability.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Research and develop multimodal foundation models that integrate sensor, time-series, language, vision, and audio data. Define problems, design experiments, build and evaluate models, advance architectures and training strategies, and scale research into production systems for physical-world and industrial applications. The role requires independent scientific judgment, end-to-end modeling experience, experimental rigor, and model deployment expertise.

Manage sales-order-driven GPU and IT hardware procurement projects from requirements confirmation through supplier sourcing, negotiation, purchase order execution, delivery acceptance, and closeout. Coordinate with Sales, Technical, Finance, Logistics, and Operations teams; track milestones, costs, risks, invoices, and supplier fulfillment; resolve delivery or specification issues; and improve procurement workflows and records.

Leads corporate compliance for investment advisory products, marketing, advertising, sales materials, and strategic initiatives. Advises product and marketing leaders on regulatory requirements, oversees advertising reviews and junior staff, develops policies and disclosures, performs compliance testing, supports regulatory examinations and audits, and delivers training. Requires extensive financial services and Investment Advisers Act experience, strong leadership and communication skills, and advanced Microsoft Office and Adobe Acrobat Pro proficiency.

Own the architecture and technical direction of Clarify’s data platform, including ingestion pipelines, eventing, integrations, canonical data models, public APIs, and webhooks. Build reliable systems that handle scale, retries, conflicts, backfills, and deduplication. Establish observability, operate production systems with on-call ownership, and mentor engineers through design reviews and pragmatic standards.

Manage a portfolio of mid-market customers, acting as a trusted advisor to drive product adoption, retention, renewals, and customer value. Identify expansion opportunities, lead business reviews, address risks, and support successful integrations and use cases. Partner with go-to-market, operations, product, and engineering teams to advocate for customer needs and influence product improvements.

Develop and lead data ingestion, transformation, and distribution pipelines using SQL, Snowflake, Python, and related technologies. Oversee offshore data engineers, conduct code reviews, facilitate Agile ceremonies, and manage delivery timelines. Design batch and real-time pipelines, implement data validation and testing frameworks, optimize queries, troubleshoot bottlenecks, and ensure data integrity. Collaborate with architects, product owners, administrators, and business analysts to translate requirements into technical solutions.