Senior technical owner of AI-enabled productivity and collaboration experience, focusing on identity (Entra ID), endpoint management, and M365 platforms.
This role is responsible for partnering directly with business functions across the organization to identify, design, build, and deploy AI-powered solutions that improve productivity, automate business processes, and accelerate decision-making.
Compensation
The annual salary range for this position is $102,000-$115,000.
Responsibilities
Partner with business stakeholders to understand workflows, pain points, and opportunities for AI-enabled automation.
Design, develop, test, and deploy AI-powered applications, assistants, agents, and workflow automations.
Rapidly build proof-of-concepts and minimum viable products to validate business value.
Iterate quickly based on user feedback and operational needs.
Develop reusable components and implementation patterns that can be leveraged across multiple business functions.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field
Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field
Lead the technical design and implementation of AI-driven ABM, paid media, and growth marketing automation across Snowflake’s marketing stack.
Compensation
The estimated base salary range for this role is $96,000 - $126,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
Responsibilities
Streamline and optimize digital marketing, ABM, and growth marketing processes
Serve as the primary technical partner to the internal Paid Media & ABM team
Partner with cross-functional, global Marketing teams and Data and Analytics
Integrate AI APIs, MCP Servers, and other automation tools
Design and maintain Workato-based automation recipes and integrations
Lead the operating model for enterprise AI adoption, including oversight of AI platform evaluation, technical fit, integrations, enterprise knowledge use cases, data architecture, AI security, vendor capabilities, and responsible deployment.
Compensation
Base Salary: USD $130,000.00 to $150,000.00; depending on experience and skills; Discretionary annual bonus: Up to 10% of annual salary
Responsibilities
Own and continuously improve the enterprise AI operating model, including intake workflows, review criteria, documentation standards, technical assessment practices, usage guidance, and responsible adoption controls.
Define decision points, ownership maps, escalation paths, and use case review workflows that evaluate technical feasibility, security, scalability, operational impact, and enterprise risk considerations.
Coordinate the AI review body by preparing agendas, materials, decision records, follow-up actions, and status reporting.
Maintain the enterprise AI portfolio roadmap, including approved platforms, prioritized use cases, vendors, owners, risks, controls, and implementation milestones.
Monitor AI program trends, industry practices, client expectations, and emerging business needs, and coordinate with Legal on regulatory, contractual, audit, due diligence, or policy developments.
Requirements
Bachelor’s degree in business, technology, information systems, data governance, computer science, or a related field
The Staff Forward Deployed Engineer (FDE) works with federal, state, and local government customers to build and productionize solutions to data & AI challenges using the Databricks platform. The role involves technical design, implementation, and mentoring while traveling to customers.
Compensation
Zone 1 Pay Range $219,765—$302,220 USD, Zone 2 Pay Range $219,765—$302,220 USD, Zone 3 Pay Range $219,765—$302,220 USD, Zone 4 Pay Range $219,765—$302,220 USD
Responsibilities
Lead cross-functional execution for complex engagements, coordinating with FDE engagement teams, Sales, Product/Engineering, xSAs and Partner teams.
Develop frameworks and tools adopted beyond the immediate team and influence Product and Engineering by surfacing platform gaps.
Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
Guide customers on architecture and design; bootstrap or implement customer projects.
Lead architecture and design decisions ensuring solutions are secure, scalable, and aligned with customer needs.
Senior Analyst, Risk Management Solutions and Integrations
Compensation
Salary range is expected to be between $86,100.00 CAD - $136,100.00 CAD
Responsibilities
Assess asset and liability data feeds
Create and maintain mappings from position data to valuation models
Decompose complex business requirements
Document workflows, data flows, calculations, controls, interfaces, user stories, and integration requirements
Analyze structured and unstructured datasets
Requirements
Bachelor’s degree or above in Finance, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, Data Science, or a related analytical or technical discipline
Forward Deployed Engineer (FDE) - RetailNewDatabricks
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