Lead the FleetDM migration. Define scope, requirements, architecture, dependencies, and a phased delivery plan with OS specialists and partner teams.
Engineer and operate the shared platform. Maintain configuration, agent workflows, policies, queries, integrations, and operational automation.
Make deployment safe and repeatable. Build version-controlled configuration with automated checks, peer review, controlled rollout, drift detection, and recovery.
Validate capabilities and coexistence. Identify gaps, clarify management authority, and establish which responsibilities should migrate or remain with existing tools.
Make platform health actionable. Establish trustworthy device populations, data freshness, enrollment and agent health, and owned remediation workflows.
Specialist in Intelligent Automation, responsible for identifying, analyzing, and designing automated workflows using Microsoft Power Platform and AI Builder.
Compensation
The expected compensation range for this position is $80,320-$110,440. This range includes base pay and target variable pay.
Responsibilities
Facilitate workshops with business stakeholders to identify, assess, and prioritize automation opportunities
Analyze state processes and design future state automated workflows suitable for unattended execution
Create and maintain Process Design Documents (PDD) documenting process scope, inputs, outputs, and exceptions, As Is and To Be process flows, and business rules
Create and maintain Solution Design Documents (SDD) detailing technical architecture, integration approach, data sources, APIs, and error handling
Design and develop Power Automate Cloud Flows utilizing APIs, connectors, and structured data
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
Nice to have: Microsoft Power Platform certifications (PL400, PL600)
Lead technical advisory and solution design for AI-enabled cybersecurity workflows, partnering with customers to deploy OpenAI models and APIs in security-critical environments.
Responsibilities
Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows
Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases
Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools
Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points
Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects
Lead the strategy, execution, optimization, governance, and ongoing development of the marketing automation function.
Responsibilities
Own the execution, QA, and optimization of integrated marketing campaigns across email, events, webinars, nurture programs, forms, landing pages, and other channels
Develop and maintain scalable marketing automation architecture, workflows, programs, and operational processes within Marketo
Drive the design, development, and ongoing optimization of lead scoring, lead lifecycle management, routing, segmentation, and MQL processes
Establish and enforce Marketing Automation governance, standards, naming conventions, campaign taxonomy, and QA processes
Oversee database health, data quality, normalization, enrichment, deduplication, and other database optimization initiatives
Requirements
Nice to have: Marketo Certified Expert (MCE)
Nice to have: Adobe Marketo Engage Business Practitioner certification
Design, build, and support customer data and activation solutions across the Adobe Experience Cloud ecosystem.
Compensation
Our typical hiring range is between $41.00 per hour and $67.00 per hour.
Responsibilities
Design, configure, and maintain solutions on Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA).
Implement and support Real-Time Customer Data Platform (RTCDP) capabilities, including profile enablement, identity stitching, schema design, and audience activation.
Build and optimize AJO journeys, event triggers, decisioning inputs, and audience-based orchestration.
Support CJA data views, connections, derived fields, and reporting structures to enable business-friendly analytics and journey insights.
Ensure platform configurations align with architectural standards, governance policies, and business requirements.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or related field.
Lead large-scale Guidewire transformation initiatives, driving technology strategy, guiding delivery teams, and overseeing implementation of Guidewire solutions, cloud initiatives, API integrations, and enterprise modernization programs.
Compensation
The pay range for this position is $105.00 - $115.00/hr.
Responsibilities
Lead and align engineering initiatives with broader business and technology strategies
Drive delivery of large-scale Guidewire transformation programs across Policy, Billing, and Claims platforms
Develop and maintain technology roadmaps in partnership with business stakeholders, vendors, and technology teams
Provide technical leadership for Guidewire, cloud, API integration, and modernization initiatives
Partner with architects and technical teams to develop enterprise solution designs and secure required approvals
Requirements
Bachelor's degree in Computer Science, Engineering, Business, or a related discipline
Nice to have: Property & Casualty Insurance
Nice to have: regulated industries such as insurance or financial services