Responsibilities:

• Hire, onboard, and mentor SEs; build the bench and succession plan for future managers
• Stand up the SE operating system: KPIs, inspection cadence, regional coverage model, and quality standards
• Own demo and POV strategy: success criteria, timelines, resourcing, and executive ready readouts
• Drive early technical discovery, solution design, competitive plans, and paper process clarity
• Partner with Sales leaders on territory planning, account prioritization, and resourcing SLAs
• Build field assets with Product Marketing and SEs: reference architectures, POV kits, competitive briefs, ROI storylines
• Enable partner co-sell with priority resellers and SIs; track influenced pipeline and win rate
• Create the feedback loop to Product and Engineering with crisp requirements and clear impact
• Collaborate with RevOps on capacity planning, hiring plan, and budget alignment
• Model an inclusive, learning-oriented culture; invest in manager and IC development

Requirements:

• 10+ years in B2B SaaS Pre-Sales
• 4+ years leading a team of solutions engineers; experience leading managers is a plus
• Identity or security domain fluency is preferred; strong technical depth across APIs, integrations, and enterprise stack
• Proven lift in technical win rate, POV conversion, and sales velocity at regional or global scale
• Mastery of MEDDPICC and enterprise deal mechanics; confident with executive storytelling
• Operational rigor in KPI design, forecast collaboration, capacity modeling, and process improvement
• Excellent communications skills and cross-functional collaboration across Sales, Product, Marketing, Partners, and Success
• Ability to travel as needed

Benefits and Perks:

• Remote work culture (+/-4 hours Pacific Time)
• Medical, Vision, & Dental coverage covered by Lumos
• Company and team bonding trips throughout the year fully covered by Lumos
• Flexible PTO, with minimum time off to make sure you are rested and able to be at your best
• Up to 16 weeks for expecting parents
• Monthly wellness stipend
• 401k matching plan

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As the Global Business Insights & Automation Lead, you will combine the analytical depth of a data scientist with the strategic storytelling and executive communication of a management consultant. You will lead a small, high-impact team to design, automate, and operationalize global business insight systems that power OpenAI’s decision-making at scale.

You’ll work closely with Finance leadership, GTM, Product, and Engineering to surface the “why behind the numbers,” automate recurring analytics, and develop frameworks that connect business drivers to company strategy. This is a hands-on leadership role — equally focused on building analytical frameworks, mentoring talent, and shaping executive narratives.

In this role, you will:

• Become an expert in OpenAI’s data, systems, and business dynamics across products and regions.

• Lead the design and implementation of global KPI frameworks and insight automation systems that serve cross functional partners.

• Architect scalable data products — dashboards, variance analyzers, pacing models, and agentic workflows — to deliver proactive insights.

• Automate recurring reporting and analysis using OpenAI’s internal tools, surfacing real-time business trends and performance drivers.

• Partner with FP&A to connect financial performance with operational and product metrics, improving forecasting accuracy and investment decisions.

• Build models and frameworks for segmentation, pricing, and LTV to uncover growth opportunities and efficiency levers.

• Translate complex analyses into clear, concise executive narratives — distilling technical detail into actionable insights.

• Coach and develop a small, high-performing team of analytics engineer and data scientists, ensuring analytical rigor and stakeholder trust.

You might thrive in this role if you:

• Have 10+ years of experience in analytics, business insights, or data science — ideally combining experience at McKinsey, Bain, or BCG with hands-on work in a high-growth technology company.

• Hold an advanced degree (MS or PhD) in a quantitative field (Statistics, Economics, Computer Science, Operations Research, etc.).

• Are comfortable in SQL and Python, and comfortable building analytical models and automated pipelines.

• Have deep experience with BI tools such as Tableau and have built scalable dashboards and metric layers used by executives.

• Bring a strong understanding of financial and operational metrics (e.g., revenue, margin, LTV, CAC, WAU/DAU, ARPU) and how they interact across functions.

• Excel at executive storytelling — simplifying complexity and influencing decisions with clarity and credibility.

• Thrive in fast-moving, ambiguous environments and take ownership of problems end-to-end.

Why this role matters

This role sits at the intersection of data, strategy, and automation. You will shape how OpenAI’s leadership measures performance, understands trade-offs, and drives growth — building the systems, models, and narratives that turn data into decisions.

About the Team

The Strategic Finance Data Science team builds the analytical and automation foundation that powers OpenAI’s most important business and financial decisions. We partner across Finance, Product, Engineering, and Go-to-Market to create a unified understanding of company performance — transforming data into proactive insights and intelligent systems that guide OpenAI’s growth.

Our mission is to enable the Finance of the Future: an integrated ecosystem where data, models, and agentic workflows automate insight delivery and help leaders make better, faster, and more confident decisions.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of artificial general intelligence and develop and apply AGI in areas like climate change, healthcare, and education.

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