Senior Director of Applications Engineering

Snowflake; Menlo Park (CA); Hybrid; USD 230,000 - 320,000; Full time

Benefits offered by this job

Comprehensive health insurance plans

Health savings accounts

Robust retirement plans

Life and disability insurance

Quarterly bonus or commission program

Onsite and Remote Work

Employee stock purchase plan (ESPP)

Job summary

Snowflake seeks a Sr Director to own the product and engineering strategy across Finance, People, Revenue, and Legal. This leader will deliver AI-native, context-aware workflows and drive measurable business impact by redesigning processes and building scalable platforms.

They will partner with C-level executives, establish a product-led operating model, and govern risk, privacy, and SOX controls while growing a world-class AI-enabled product organization.

Qualifications

• Bachelor’s degree in CS/Engineering/Finance or equivalent practical experience.
• 15+ years in enterprise technology, product management, or software engineering.
• 5+ years leading multi-disciplinary organizations at director level or above.
• Strong AI fluency with governance and responsible AI practices.

Responsibilities

• Own the product and engineering strategy across Finance, HR, and Legal domains.
• Build teams, product model, and operating mechanisms to deliver AI-native workflows.
• Partner with C-level executives to redesign processes and delegation to software.
• Lead cross-functional pods accountable for adoption, value, and reliability.
• Define multi-year roadmap and ensure SOX compliance and auditability.
• Manage budgets, vendor strategies, and technology partnerships.

Skills

Executive leadership

AI fluency

Product strategy

Enterprise technology

Domain leadership

Education

Bachelor’s degree in Computer Science, Engineering, Finance, or equivalent practical experience

Job description

• We are hiring a Sr Director to make Finance, OTC, Revenue, People, and Legal domains more agentic
• This leader will own the product and engineering strategy across the portfolio, moving beyond application management to deliver intelligent products that understand context, act across systems, operate within guardrails, and involve people when judgment is required
• This leader will work directly with business executives to identify the work that should be eliminated, redesigned, or delegated to software
• They will build the teams, product model, technical foundations, and operating mechanisms needed to move quickly from opportunity to production and deliver measurable business impact
• Transform enterprise operations across Finance, People, and Legal by redesigning end-to-end workflows into AI-native products rather than adding incremental features to legacy apps
• Combine domain expertise, enterprise data, workflow automation, autonomous agents, and controls into a coherent operating experience
• Establish a product-led model where cross-functional teams co-own strategy, adoption, reliability, and business impact
• Build a scalable AI product lifecycle to rapidly prototype, evaluate, deploy, and scale intelligent agents across the organization
• Define and execute the multi-year product and engineering roadmap across Finance, HR, and Legal domains, aligning investments with high-value business outcomes
• Partner with C-level and executive leaders (CFO, HR, Legal) to challenge existing processes and redesign future-state operating models
• Deliver production-grade agents and AI-native workflows that use trusted context and enterprise tools to complete multi-step work, manage exceptions, and elevate with clear explanations and auditability
• Establish a product-led operating model in which business and technology co-own the problem, product strategy, adoption, reliability, controls, and value realized
• Establish software architecture and engineering standards for AI products, covering orchestration, context retrieval, tool integration, safety, compliance, latency, and cost
• Build reusable AI patterns and modular platforms to enable fast deployment of agentic capabilities without building bespoke platforms for every use case
• Lead cross-functional product pods accountable for adoption, workflow completion, and measurable value realization
• Ensure AI implementations maintain rigorous governance, auditability, SOX controls, data privacy, and security standards
• Define operational metrics to track agentic transformation, including automation rates, cycle-time reductions, exception management, and ROI
• Hire, mentor, and scale a world-class product and engineering team with strong AI fluency, business empathy, and operational excellence
• Manage portfolio budgets, vendor strategies, and technology partnerships to accelerate business outcomes

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program

Demonstrated executive presence and ability to collaborate effectively with C-suite stakeholders as a strategic partnerBachelor’s degree in Computer Science, Engineering, Finance, or equivalent practical experienceFirst-principles product mindset focused on simplifying workflows, rapid prototyping, outcome ownership, and user-centric designExperience building product-led organizations with empowered teams, managing managers, and setting a high talent bar across product, program, engineering, and domain leadership15+ years of experience in enterprise technology, product management, or software engineering, with 5+ years leading multi-disciplinary organizations at the Director level or aboveA demonstrated record of building and scaling software-defined products and AI-native or intelligent workflows in production, with measurable business impactEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidentialStrong technical grounding in modern AI architectures (LLM/agent patterns, orchestration, tools, evaluation) and cloud data platforms like SnowflakeDeep knowledge of compliance, audit, SOX controls, data governance, and responsible AI practicesExperience moving quickly from ambiguity to a working product, learning from usage, simplifying fragmented landscapes, and making hard prioritization decisions based on business value