Snowflake

Manager

• Recruit and build successful sales professionals into high-performing revenue drivers for Snowflake
• Build cross-functional relationships with internal and external support teams and technical partners
• Influence go-to-market strategy for top-tier financial services companies
• Develop a team culture around Snowflake Core Values
• Sell Snowflake's industry-changing, market-defining product
• Enable and accelerate Snowflake's growth while fostering diversity and inclusivity

Senior District Manager, Majors Expansion

Revenue Operations

• Review sales contracts and associated outcomes in automated systems
• Execute month-end close activities, including preparation and review of journal entries and revenue reconciliations
• Partner with internal business groups to ensure proper revenue accounting process design and efficiency
• Prepare key revenue-related internal controls in compliance with SOX 404 requirements
• Assist in external quarterly reviews and annual audits
• Lead special projects or initiatives as needed
• Support OTC cycles, revenue process improvement, automation efforts, new product process design, and monthly and quarterly revenue close activities
• Work cross-functionally with Professional Services, Deal Desk, FP&A, and other teams
• Assist with other revenue operations processes and responsibilities

Revenue Manager

Client Partner

• Drive and build relationships with Deloitte as a leading Global System Integrator partner
• Strengthen and expand the Snowflake–Deloitte collaboration to drive growth
• Serve as the single point of accountability for partnership health and velocity
• Drive growth with joint customers and deliver key go-to-market programs
• Establish executive relationships and enable Deloitte to grow its Snowflake competency
• Build comprehensive joint business plans covering the Americas across 2–3 sectors
• Collaborate on joint GTM strategies, strategic objectives, and target markets or industries
• Define joint industry solutions and offerings that showcase Snowflake’s value and differentiation
• Achieve partnership goals, including sales quota and marketing activities, in a quota-carrying role
• Inspire Deloitte to grow its Snowflake practice and evaluate expertise, capabilities, and delivery quality
• Define certification growth plans and support partner enablement
• Cultivate relationships with senior executives and decision-makers in the partner ecosystem
• Coordinate and execute co-marketing activities, events, webinars, and content creation
• Assist field teams with enterprise transformation deals, deal registration, reporting, proposal support, and leadership alignment
• Collaborate with internal teams and external business groups to ensure efficient sales cycles and uphold the partnership brand
• Own GACV and consumption numbers, identify pipeline gaps, lead forecast calls, and drive +3x pipeline coverage
• Proactively build joint plans with Snowflake Sales, Professional Services, and Marketing leaders
• Diagnose current Snowflake challenges and design solutions for its culture and consumption model
• Drive investment and practice growth with Deloitte’s global and regional leadership

Partner Development Manager

Solutions Engineer

• Participate in technical discovery to assess telemetry, infrastructure, data volumes, tooling, and operational requirements
• Design end-to-end Observe observability architectures covering ingestion, pipeline topology, data modeling, enrichment, normalization, alerting, and retention
• Define implementation approaches and architecture blueprints for Implementation Engineering teams
• Validate configurations, pipelines, and data models against production-scale requirements
• Advise customers on OpenTelemetry adoption strategies
• Lead architecture and planning from kickoff through handoff to dedicated Implementation Engineer teams
• Produce reference architectures, design decision records, implementation plans, and configuration standards
• Support Implementation teams with architectural blockers, scope changes, and architecture decisions
• Conduct go-live architecture reviews for production readiness
• Design target architectures and phased cutover strategies for migrations from Splunk, ELK, Datadog, Dynatrace, and New Relic
• Identify architectural gaps, data quality risks, and technical debt, and design scalable replacements
• Develop internal reference architectures, design documents, runbooks, and implementation standards
• Build and maintain production-grade field demo infrastructure
• Capture reusable field patterns and create assets for the broader Implementation Engineering team
• Serve as technical authority on complex customer scenarios and mentor junior Implementation Engineers
• Contribute to adjacent-solution integrations, process re-engineering, and AI refactoring
• Share field insights with Product and Engineering to influence the platform roadmap

Solutions Architect

Account Executive

• Become an expert on Snowflake's product
• Conduct discovery calls, customized demos and presentations to prospective customers
• Act as a trusted advisor by understanding customers' existing and future IT roadmaps
• Drive Snowflake solutions within the marketplace
• Qualify prospects and develop new sales opportunities and ongoing revenue streams
• Land, adopt, expand and deepen sales opportunities with accounts in the assigned region
• Achieve quarterly and annual sales quotas for allocated accounts and/or territory
• Develop a sales strategy with a target prospect list and regional sales plan
• Work closely with sales engineering, professional services, marketing, legal and finance

Account Executive – Enterprise Acquisition

Field Engineer

• Provide hands-on AI/ML expertise and support to technical decision makers and data scientists
• Design and architect AI solutions built on the Snowflake AI Data Cloud
• Position Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas
• Partner with account teams and customer champions to scope and drive proofs of concept to successful technical wins
• Deliver executive readouts and business value cases
• Collaborate with product and engineering teams to influence AI and ML roadmaps based on customer feedback
• Publish blog posts, conference presentations, notebooks, demos, and other technical collateral
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories

Senior AI/ML Architect, Applied Field Engineering

Cloud Engineer

• Build solutions and services that operate, protect, and govern Snowflake’s security posture across 600+ million assets and AWS, Azure, and GCP
• Automate security controls across cloud environments, including IAM, detection and monitoring, configuration management, and data protection
• Build real-time security monitoring, logging, and alerting using Snowflake technologies
• Define and maintain security baselines, policies, and standards for public cloud platforms
• Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry, score risk, and surface high-impact issues
• Own security workstreams end to end
• Conduct design reviews, mentor team members, and provide technical guidance
• Apply software engineering best practices including documentation, testing, and observability

Senior Software Engineer – Cloud Security

Full-stack Engineer

• Lead the technical vision, design, and implementation of database products for internal needs
• Create cloud-agnostic abstractions and software infrastructure across AWS, Azure, and GCP
• Drive complex, cross-functional engineering initiatives from inception to production
• Mentor junior and mid-level engineers
• Establish software engineering best practices
• Harden database infrastructure to meet uptime, security, and durability SLAs
• Participate in an on-call rotation
• Lead incident investigations for complex production issues
• Direct blameless post-mortems to drive permanent systemic improvements
• Partner with Security, Infrastructure, and Site Reliability Engineering teams to support new product capabilities at scale

Senior Software Engineer – ManagedDB

• Build and lead a team of solution engineers serving the SLED Business Central Region
• Provide value-based evaluation scenarios, including demonstrations, labs and proofs of concept
• Partner with sales leadership to achieve regional quota targets and build relationships
• Set the go-to-market strategy for the territory with revenue leaders
• Escalate customer feedback and product obstacles or gaps to executive staff
• Interpret complex problems, create simple solutions and collaborate with prospects, channel partners and sales teams
• Maintain close working relationships with product, engineering, sales, marketing and services
• Source and screen candidates and manage the interview process
• Act as a player/coach, delivering compelling presentations to customers and prospects

Senior Manager, SLED Solution Engineering

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers throughout the sales cycle, from demonstrations and proofs of concept through design and implementation
• Demonstrate and communicate the value of Snowflake technology
• Maintain deep knowledge of competitive and complementary technologies and vendors
• Position Snowflake against competitive and complementary technologies
• Collaborate with Product Management, Engineering, and Marketing to improve products and marketing
• Work with sales teams and channel partners to understand customer needs and navigate winning sales cycles
• Support enterprise Proofs of Concept and close business

Senior Solution Engineer, Retail & Consumer Goods

• Participate in AI-based development across the full platform, including syntactic and semantic analysis, wire protocols, and data ingest/egress
• Collaborate with product managers, solution architects, and field engineering to enable customers' database transitions to Snowflake
• Define and improve engineering processes around AI-based software synthesis workflows
• Build systems, devise engineering processes, and direct AI systems to synthesize components of a mission-critical platform

Software Engineer – AIM Virtualization

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers throughout the sales cycle, from demo to proof of concept to design and implementation
• Demonstrate and communicate the value of Snowflake technology
• Immerse yourself in the evolving industry and maintain a deep understanding of competitive and complementary technologies and vendors
• Position Snowflake in relation to competitive and complementary technologies
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing
• Understand customer needs and strategize on winning sales cycles
• Support enterprise Proofs of Concept and close business
• Keep customer information secure and confidential and follow company confidentiality and security standards

Senior Solution Engineer

Engineer

• Define and mature Snowflake’s Threat Intelligence strategy, including investments in people, processes, engineering, and AI-enabled capabilities
• Identify, profile, and track threat actors targeting Snowflake, customers, partners, and the ecosystem
• Translate threat intelligence into actionable outcomes and security priorities
• Produce intelligence reports, assessments, briefs, and leadership-ready communications
• Engineer automations, collection pipelines, enrichment workflows, and analyst tooling
• Build and improve AI-assisted intelligence workflows for triage, enrichment, summarization, monitoring, and threat-informed hunts
• Partner with Threat Detection, Incident Response, and other security teams to create detections, threat hunts, investigative pivots, and control recommendations
• Monitor alerts, intelligence feeds, vendor reporting, and external developments
• Drive standards for curating, evaluating, delivering, and measuring intelligence
• Mentor engineers and analysts and raise technical, analytic, and operational maturity

Principal Threat Intelligence Engineer

Backend Engineer

• Lead customer engagements as the primary technical authority, owning architecture decisions and measurable outcomes across complex implementations
• Partner with executives and senior technical leaders to define platform strategy, long-term roadmaps, and business alignment
• Translate ambiguous business problems into scalable technical solutions with delivery paths and risk mitigation
• Serve as the technical escalation point, unblocking delivery teams and resolving architectural issues
• Architect and implement end-to-end AI/ML solutions on Snowflake
• Define and champion enterprise MLOps practices, including deployment pipelines, monitoring, governance, and lifecycle management
• Drive adoption of Snowflake Cortex, Streamlit in Snowflake, and Snowflake Intelligence
• Lead replatforming of complex AI/ML workloads onto Snowflake
• Coordinate across customer engineering, data science, and platform teams
• Bridge Services Delivery, Go-to-Market, and Snowflake product teams
• Channel customer feedback to influence product direction
• Mentor junior architects and consultants
• Develop reusable architecture patterns, reference implementations, and delivery accelerators

Senior Technical Architect

• Lead customer conversations on AI strategy and data modernization
• Design and demonstrate scalable data and AI solutions using SQL and Python
• Support enterprise Proofs of Concept from concept to value realization
• Translate complex technical concepts into measurable business outcomes
• Navigate objections and competitive dynamics in high-stakes sales cycles
• Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery
• Partner with Sales to guide customers from raw data to real AI impact
• Architect scalable solutions, deliver compelling demos, and influence complex buying decisions across executive and technical audiences
• Keep customer information secure and confidential and follow Snowflake’s confidentiality and security standards