Top Remote Jobs in Portland, ME

Own full-cycle global recruiting for technical, product, sales, business, and operational roles. Source and evaluate candidates, advise hiring managers, manage interview processes, and maintain hiring momentum. Oversee recruiting vendors and a global sales consultant program, including contracts, onboarding, CRM tracking, documentation, and follow-up. The role requires independent judgment, strong communication, business acumen, discretion, and experience working across time zones in a distributed company.

Lead end-to-end strategy and execution for conferences, trade shows, sponsorships, and ancillary events. Manage logistics, budgets, vendors, booth experience, speaker submissions, and onsite operations. Align events with sales and marketing priorities, capture and route leads, measure event KPIs and ROI, and travel regularly for onsite execution.

Leads product operations across software teams by optimizing development processes, tracking product usage and feature adoption, managing roadmaps and Jira governance, consolidating customer feedback, coordinating risk and decision-making, and enabling go-to-market launches. Partners with product, engineering, program, marketing, and support teams to improve communication, delivery timelines, and product quality.

Lead systems engineering for a next-generation unmanned aircraft system. Responsibilities include defining system architecture, behaviors, requirements, interfaces, fault responses, and traceability; integrating avionics, autonomy, propulsion, sensors, and mission systems; conducting MBSE modeling, trade studies, safety analyses, flight testing, and performance validation; and coordinating cross-functional teams, DoD stakeholders, and government partners through development and operational deployment.

Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.

Develops strategy and operations for the Loyalty & VIP Growth organization by building roadmaps, scalable processes, KPI frameworks, competitive intelligence, and data-driven recommendations. Identifies AI and automation opportunities, builds productivity tools and agents, and partners cross-functionally to execute strategic initiatives and improve business performance.

Own the global partner marketing strategy for ReversingLabs, developing joint campaigns, co-branded assets, demand-generation programs, and partner enablement across global regions. Manage MDF and co-op funding, measure partner-sourced and partner-influenced pipeline, and report program returns. Collaborate with field marketing, sales, alliances, technology partners, hyperscalers, and distributors to build scalable campaigns and strengthen partner revenue contribution.

Lead internal security incident response as the primary SOC escalation point. Responsibilities include incident triage and validation, tabletop and purple-team exercises, telemetry optimization, threat coverage improvements, post-incident reviews, remediation tracking, stakeholder reporting, and maintaining response playbooks and standards. The role partners with engineering, product security, detection engineering, and offensive security teams to improve organizational resilience.

Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.

Own the vision, roadmap, and execution for SentiLink’s identity resolution and internal data platform initiatives. Lead cross-functional efforts involving engineering, data science, analytics, and product teams to improve data quality, reliability, scalability, and usability. Translate ambiguous technical needs into requirements, prioritize competing demands, manage dependencies, define success metrics, and communicate progress, risks, and tradeoffs across the organization.