Okta
Senior Director, R&D Planning & Operations
$290K–$398K
San Francisco, California +1 · Director · Full-time · Posted Oct 16, 2026
- Location
- San Francisco, California
San Francisco, CA, United States - Experience
- 12+ years total, including 6+ years leading relevant functions.
- Education
- MBA, or an undergraduate degree with a concentration in Finance, Economics, Statistics or Engineering (listed as good to have).
- Visa sponsorship
- No citizenship requirement. Employee must be on US Soil: the 50 states, the District of Columbia, or outlying areas of the United States, as defined in FAR 2.101.
About the job
Leads financial, workforce, vendor, and operating processes for Okta’s 2,000+ person Product & Technology R&D organization across ORD and Auth0.
What you'll do
- Own R&D budget and workforce planning, governance, financial compliance, and vendor operations.
- Build cost models and an expense data platform; govern AI token spend and apply AI to financial and operational workflows.
- Lead the R&D goal-setting and performance-review cadence, and develop the operations team.
What they ask for
- 12+ years of work experience, including 6+ years leading business operations, R&D / engineering operations, or FP&A functions within a technology company.
- Demonstrated ownership of a large engineering or R&D budget and workforce planning and headcount governance.
- Experience managing vendors, including contract negotiation and renewal, SLA management, and capacity planning.
- Hands-on experience with Capitalized Software accounting and R&D tax credit programs in the US and/or Canada; demonstrated use of AI in finance and operations work.
Nice to have
- Experience with Snowflake or comparable financial data platforms; modeling or governing consumption-based spend.
- Experience across multiple product units or post-acquisition entities, global workforce strategy, enterprise security, or annual OKR processes.
Pay
$290,000 — $398,000 USD (annual base salary; San Francisco Bay Area)
Tools
Snowflake, AI, LLM
AI focus
Govern and optimize AI token spend, measure its return, and use AI for financial analysis, reporting, dashboard generation, and workflow automation.
Model-written summary · the original posting is authoritative