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Partner with sales to design and present Garner's Employer and DataPro solutions to high-value prospects. Lead discovery, technical solution design, RFP responses, and project-manage engagements with support from Data and Product teams. Act as technical liaison, communicate value propositions, and stay current on industry trends to inform product improvements.

Own preparation, review, and filing of SEC reports (10-Q, 10-K, 8-K, S-1); drive quarterly and annual reporting calendar; lead earnings release process; manage disclosure checklist and XBRL review; improve and automate reporting processes; prepare/review journal entries, reconciliations, equity rollforwards, and EPS; ensure U.S. GAAP and SOX compliance; research technical accounting issues and implement new accounting pronouncements.

Lead delivery of complex, multi-workstream professional services engagements for large strategic customers. Define program strategy and methodology, manage roadmaps, dependencies, budgets and risks, drive adoption and change management, and communicate outcomes to executive and technical stakeholders.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead technical pre-sales discovery, design, and scoping for CrowdStrike Falcon platform deployments. Create SOWs, architecture diagrams, deployment roadmaps, and estimates. Partner with sales, delivery, product, and customer success to align services with business outcomes, run workshops and proofs-of-value, and ensure smooth handoffs to delivery teams. Drive service portfolio improvements and adoption roadmaps while advising customers on security architecture, risks, and mitigation strategies.

Advise Falcon Complete customers on security posture, assess and remediate misconfigurations, produce reports, document and resolve issues per SLAs, liaise with support and internal teams to troubleshoot and improve security outcomes.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead architecture, build, and operate customer-facing analytics platform: design ELT and metric governance, implement low-latency serving (OLAP), ensure reliability/performance, mentor engineers, partner with product, and use AI coding tools to accelerate development.

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

The role involves leading the Code Gen team to modernize legacy applications using AI-powered tools, ensuring system scalability and efficiency through collaboration and strategic technical decisions.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Lead editorial strategy and the company blog to drive top-of-funnel growth. Pitch, write, and edit product-focused content; build and manage an editorial roadmap and calendar; collaborate with Product Marketing, Growth, and Product teams; optimize content for search and AI/LLM answers (GEO); coordinate contributors and approvals; use performance data to inform and optimize content.

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Own strategic enterprise deals within TMT, consistently achieve quotas, build C-level relationships, develop solution knowledge and competitive proposals, and coordinate internal teams to close large contracts.

Upstart invites candidates to join their Product Talent Community for future job opportunities in their innovative and inclusive lending solutions. Members receive updates on roles that match their skills.

Lead GC AI's privacy, data protection, and security compliance legal work: own GDPR/CCPA/CPRA posture, manage SOC 2/ISO programs, negotiate DPAs and security addenda, advise product and engineering on privacy-by-design and AI governance, support enterprise sales on security reviews, and maintain privacy/security playbooks.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Lead full‑stack engineering efforts to design, build, and operate production healthcare systems. Own epic-level features, mentor engineers, design for reliability and scalability, integrate with partners, and ensure launch readiness across backend (Java/Groovy), frontend (React/TypeScript), data (MongoDB), and event-driven pipelines (Kafka).

Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.