Top Senior Level Jobs

Creative Producer managing creative projects for live, virtual, and hybrid events from concept through onsite execution. Responsibilities include coordinating creative teams, clients, vendors, budgets, timelines, deliverables, approvals, documentation, and project wrap-up. The role serves as a communication hub, supports creative development, tracks scope and resources, and ensures work meets client requirements, brand guidelines, budget, and schedule.

Own Phantom’s prediction markets product end to end, including discovery, funding, trading, execution, settlement, payouts, retention, and market resolution. Define strategy, simplify trading experiences, improve trust and accuracy, and use user research and data to guide the roadmap. Lead cross-functional collaboration across engineering, design, data, marketing, legal, and external exchange and liquidity partners in a regulated crypto environment.

Provides technical sales and applications engineering support for advanced microelectronic packaging, GTMS, HTCC, hermetic assemblies, and custom engineered products. Translates customer requirements into manufacturable designs, creates CAD concepts, conducts design-for-manufacturability reviews, supports proposals and quotations, and guides products from concept through production. Collaborates with engineering, operations, quality, supply chain, and customers while providing technical presentations, troubleshooting, documentation, and application support.

Supports transactional legal matters including entity formation, mergers and acquisitions, real estate, contracts, employment, and HOA counseling. Responsibilities include legal research, drafting and reviewing agreements, managing due diligence and transactions, advising clients, maintaining client relationships, and responding to regulatory matters. The attorney collaborates with partners, associates, paralegals, and clients while meeting billing, communication, confidentiality, and deadline requirements.

Provide 24/7 technical support for CICS TS and related OEM products on IBM z/OS mainframes. Responsibilities include fulfilling customer service orders, troubleshooting, installing and maintaining software, supporting operating system upgrades, customer migrations, disaster recovery, product fixes, and ITSM change control. The role requires collaboration across functional teams, project support, schedule management, and occasional weekend or on-call work.

Own rapid-response experiments and integration across AI hardware, software, and customer teams. Run LLM inference workloads on simulators and hardware emulators, profile performance, analyze counters and traces, and explain bottlenecks. Support host-side runtime and driver integration, then convert investigations into reusable models, scripts, experiments, and regression tests. The role requires strong systems programming, hardware proximity, Linux proficiency, and the ability to deliver repeatable results from loosely defined requests.

Leads full-cycle recruitment across government, state, and commercial client hiring needs. Responsibilities include sourcing, screening, interviewing, offer negotiation, hiring strategy, workforce planning, compliance, candidate and client engagement, recruiting metrics, ATS optimization, and mentoring recruiting staff. The role partners with hiring managers and clients to improve recruitment processes, assess talent, and meet workforce growth objectives.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

Build and operate full-stack business applications using Node.js, TypeScript, SQL, Azure, and agentic AI technologies. Partner with business teams to discover opportunities, translate needs into solutions, and own delivery from design through adoption and support. Develop LLM-powered applications, APIs, integrations, CI/CD pipelines, reusable platform components, and secure architectures. Monitor reliability, performance, costs, and user outcomes while mentoring engineers and improving shared engineering practices.

Leads a distributed team of analytics engineers, data scientists, and researchers. Drives product insights, experimentation, causal inference, machine learning models, semantic-layer governance, and AI-assisted analytics workflows. Partners with product, engineering, and customer success leaders to influence roadmaps, measure feature and platform impact, and deliver executive-ready recommendations. Oversees production data pipelines, certified datasets, metadata, telemetry, and agentic analytics quality.