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Akraya is seeking an experienced leader to partner with executive leadership to reimagine and implement a scalable, AI-driven go-to-market operational architecture. You will drive strategic initiatives to enhance seller efficiency, improve decision-making velocity, and maximize customer value across the lifecycle.
You will align cross-functional teams and ensure successful execution of complex transformation programs, with focus on SaaS metrics and enterprise-wide processes across the
Primary Skills: Sales Ops (advanced), Financial Modeling (advanced), Data Analytics (advanced), Program Management (advanced), SaaS Metrics (advanced)
Contract Type: W2 Only Duration: 6+ Months (Possible Extension) Location: San Jose, CA Pay Range: $60.12/hr. - $65.46/hr. on W2
Job Summary: This role will partner with executive leadership to reimagine and implement a scalable, AI-driven go-to-market operational architecture. You will drive strategic initiatives focused on enhancing seller efficiency, improving decision-making velocity, and maximizing customer value across the entire lifecycle. Your expertise will be crucial in aligning cross-functional teams and ensuring the successful execution of complex transformation programs.
Must-Have Skills: Deep understanding of SaaS business models and metrics. Proven ability to lead cross-functional teams and influence stakeholders. Expertise in enterprise transformation and program management.
Industry Experience: Experience in the SaaS/Cloud technology industry is required, with a focus on go-to-market strategy and enterprise transformation.
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment.
Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space.
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