Iterable

Data Engineer

• Build reliable data pipelines and platform capabilities powering customer-facing data movement, analytics data products, and machine learning foundations
• Lead large-scope or high-impact projects and drive technical decisions through ambiguity
• Own architecture and end-to-end delivery of critical data ingestion and activation workflows, including source connectors, staging and transformation, diffing, incremental sync, and Iterable bulk API integrations
• Define high-availability, fault-tolerance, and recovery patterns including graceful degradation, retries, replayability, backfills, idempotency, and durable workflow execution
• Lead Snowflake-based data pipelines and data-sharing workflows
• Establish technical standards for schema evolution, data quality, observability, testing, and lifecycle management
• Partner with data science and machine learning engineers on feature generation, feature serving, model inputs, and experimentation workflows
• Drive tradeoffs across batch and streaming, data modeling, latency, performance, cost, availability, and maintainability
• Collaborate with product, frontend, platform, SRE, and customer-facing teams to define interfaces and resolve production issues
• Identify architectural gaps and operational risks and create roadmaps, design proposals, and execution plans
• Create reusable abstractions, platform capabilities, and engineering patterns
• Provide technical leadership through design reviews, implementation guidance, incident reviews, and mentorship
• Influence roadmap and prioritization discussions
• Participate in operational support or on-call as needed

Staff Data Engineer

Security Engineer

• Define and execute a multi-year Security Engineering strategy aligned to business priorities, customer trust, and risk appetite
• Set a focused portfolio of priorities with clear owners, sequencing, milestones, and measurable outcomes
• Lead and develop managers and senior technical leaders across multiple security functions
• Establish operating mechanisms that improve accountability, execution visibility, and delivery predictability
• Address missed commitments, unresolved blockers, and priority conflicts directly
• Build an AI-forward roadmap for security engineering, automation, operations, and decision support
• Mature application security, cloud and platform security, detection and response, vulnerability management, and incident readiness
• Lead post-incident improvement and resilience programs addressing systemic risk
• Partner with Engineering, Product, IT, GRC, Legal, Finance, and customer-facing teams
• Own organizational planning, budget, vendor strategy, headcount planning, and investment tradeoffs
• Advise executives and Board partners on security posture, material risks, priorities, and investments
• Establish a clear strategy, operating model, roadmap, and measurement framework within the first 12 months
• Align security functions around focused business and risk priorities
• Launch an AI-forward security roadmap improving leverage and automation
• Improve accountability, delivery predictability, and portfolio execution visibility
• Strengthen leadership capacity through manager development and succession planning

Senior Director, Security Engineering

Software Engineer

• Complete assigned software engineering tasks that are comprehensive and well thought out
• Collaborate proactively with team members to identify and implement effective solutions
• Seek input from diverse team members while forming technical opinions
• Recommend solutions to improve existing processes
• Anticipate roadblocks and navigate business-unit processes to complete tasks
• Manage expectations and accurately estimate effort required to accomplish objectives
• Take on increasingly complex software engineering work using company best practices
• Contribute to scalable web application development and customer engagement solutions
• Participate in on-call responsibilities

Product Marketing

• Own Iterable's overarching AI and Orchestration Innovation narrative
• Connect individual AI capabilities into a compelling point of view on AI-driven customer engagement
• Drive Tier 1 flagship launches that establish category leadership and earn analyst and press attention
• Translate technical AI concepts, models, agentic workflows, and data/orchestration architecture into customer value
• Craft narrative-driven messaging and positioning connecting AI and orchestration innovation to customer value
• Write Tier 1 launch messaging for flagship AI releases
• Review and direct launch content and campaigns to align with launch narratives
• Research AI market trends, competitive positioning, and customer needs
• Partner with product management to reflect market shifts and inform roadmap decisions
• Drive adoption and expansion of AI capabilities through lifecycle messaging and targeted enablement
• Partner with customer marketing and customer success on reference stories and case studies
• Deliver market awareness, pipeline, revenue influence, AI capability adoption, executive recognition, and analyst recognition

Staff Data Engineer

Senior Director, Security Engineering

Software Engineer

Principal Product Marketing Manager – AI Innovation