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Lead technical evaluation and proof-of-concept work for enterprise deals, conduct deep discovery, design hands-on POCs, handle technical objections, present ROI to executives, collaborate with Product and Customer Success, and mentor junior SEs while contributing competitive intelligence and reusable demo assets.
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Lead technical pre-sales for strategic enterprise deals: run discovery, design and execute hands-on POCs, address data architecture and privacy concerns, present ROI to executives, and enable internal teams while mentoring junior SEs and contributing competitive insights and reusable demo assets.
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Own deployment, adoption, and outcomes for a portfolio of ~10 strategic accounts. Lead deployment planning and implementation, manage risks, monitor health with AI signals, drive product adoption, build success plans and executive business reviews, partner with sales on renewals/expansion, surface customer feedback, and develop repeatable playbooks to scale customer outcomes.
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Lead partnerships strategy and execution focusing on technology, expand the partnership program, and drive revenue through collaborations with major companies.
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Customer-facing data scientist advising customers on experiment design, statistical methodology, and experimentation architecture; running and analyzing A/B tests; building scalable experimentation programs; creating repeatable frameworks and technical enablement; partnering with Sales, Solutions Engineering, Product, and Engineering to drive customer success.
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Own complex order workflows from quote-to-cash, evaluate and process customer orders for accuracy and compliance, resolve non-standard deal scenarios with Sales/Finance/RevOps, analyze order data to identify root causes, and document/process improvements to increase scalability and throughput.
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