Responsible for delivery of technical content and quality management deliverables, overseeing field and manufacturing issues, guiding design strategies, and authoring system engineering deliverables for design change and maintenance projects.
Responsibilities
Deliver technical content and quality management deliverables
Oversee field and manufacturing issue resolution
Guide design strategies such as reliability testing, FMEA, CAPA
Author and review system engineering deliverables for design change and maintenance projects
Requirements
Bachelor’s Degree in Computer Science or STEM majors
Lead the architectural vision and technical execution for Snowflake’s Streamlit in Snowflake platform, driving performance, scalability, and developer experience across a multi-tenant data ecosystem.
Compensation
The estimated base salary range for this role is $250,000 - $380,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Responsibilities
Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer.
Drive the platform’s evolution toward next-generation capabilities, shaping architectural direction for emerging features.
Serve as the primary technical representative for SiS in company-wide architecture forums.
Establish engineering standards for performance, reliability, and scale ensuring SiS can handle many concurrent users with fast startup times and high availability.
Lead the technical design and review process for high-stakes, cross-functional initiatives across infrastructure, Snowsight, Cortex/AI, security, and open-source Streamlit.
Lead enterprise sales of AI cloud and inference solutions for k0rdent AI, targeting providers in the Bay Area and beyond.
Responsibilities
Prospect, open and close new logos among AI cloud providers, NCPs, neoclouds, GPU-as-a-service providers and inference service providers, with a focus on the Bay Area.
Use existing executive network to secure meetings with CEOs, CTOs, VPs of Infrastructure, heads of platform engineering and product leaders.
Own the full sales cycle: territory and account planning, discovery, solution shaping, business case, commercial negotiation and close.
Build and manage a qualified pipeline with accurate forecasting in Salesforce, using a disciplined methodology such as MEDDPICC.
Position k0rdent AI around the provider's business outcomes: faster time to revenue on new GPU capacity, higher utilization, multi-tenancy, and new services such as managed inference.
Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.
Responsibilities
Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs
Requirements
BS or MS in Computer Science, Software Engineering or related field
HIRING SALARY RANGE: $170 - 240,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance.
Responsibilities
Define and execute the cloud engineering and enterprise architecture strategy across Security, aligning technology investments with business priorities and product roadmaps.
Lead distributed engineering teams responsible for cloud platforms globally and shared capabilities serving multiple product lines.
Own delivery, quality, and technical outcomes for the cloud and shared engineering capabilities within the organization’s remit.
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