You will partner closely with senior leaders across Product and GTM to turn ambiguous questions into actionable insights, recommendations, and scalable execution plans. Your work will be highly cross-functional and directly influence executive decision-making and field execution.

Responsibilities:

• Strategic Pricing Influence: Partner with Product, GTM, and Finance leadership to inform portfolio-level pricing, packaging, and discount strategy with data-driven recommendations
• Advanced Analytics and Modeling: Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes across segments and geographies
• Experimentation and Pilots: Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans
• Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance
• Metrics and Dashboard Development: Establish the right KPIs and build dashboards to monitor monetization strategy effectiveness and the ROI of pricing initiatives in real time
• Data Foundation Partnership: Work with Okta Data teams to shape and enhance the foundational data required for pricing analytics initiatives
• Cross-Functional Execution Partnership: Translate strategy and insights into operational requirements, working with stakeholders across Sales, Legal, and Systems teams to enable implementation and adoption

Requirements:

• 8+ years of experience in data science, analytics, pricing, strategy consulting, or a related quantitative field (B2B SaaS preferred)
• Proven ability to apply statistical rigor and structured analytics to ambiguous business problems and deliver measurable impact
• Experience designing measurement approaches for business initiatives (e.g., pilots, rollouts, test-and-learn), and communicating results with clarity
• Strong proficiency in SQL and Python, with experience working in modern data environments (e.g., Snowflake) and BI tools (e.g., Tableau)
• Ability to synthesize complex data using quantitative approaches, translate findings into clear visualizations, and deliver executive-ready insights and recommendations
• Demonstrated ability to influence cross-functional senior stakeholders and lead through ambiguity with strong collaboration and ownership

Preferred Qualifications:

• Experience in pricing, packaging, monetization, or growth strategy for multi-product SaaS portfolios
• Familiarity with forecasting, optimization, or causal measurement methods in a business context
• Experience partnering with Sales/GTM teams to drive adoption of new programs and measure field impact

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As a Technical Enablement Lead, you'll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

Key responsibilities include:

• Deliver Claude Code training for onboarding and ongoing enablement programs
• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides
• Build compelling demo scenarios across industries and developer personas
• Develop competitive positioning content,battlecards, differentiation guides, objection handling
• Run demo coaching sessions and weekly office hours
• Translate new Claude Code features into field-ready content rapidly
• Gather field feedback and track content effectiveness to continuously improve programs

Requirements include:

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)
• Strong programming skills,you've shipped real code recently, not just slideware
• You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship
• Track record delivering live technical training or talks
• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations
• Familiarity with enterprise developer workflows
• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel:

Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). Regular travel is expected for in-person training delivery and field events.

Annual compensation range for this role is $270,000-$310,000 USD.

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