Jobs at iQmetrix Software Development Corp

Supports the employee lifecycle through benefits administration, HRIS updates, onboarding, offboarding, leave coordination, employee documentation, and recruitment scheduling. Maintains accurate confidential records, responds to routine employee inquiries, assists with reporting and benefits reconciliation, and coordinates with managers, IT, payroll, and providers. Also supports recruiting analytics, process improvements, AI-enabled automation, and P&C team projects.

Coordinates employee lifecycle activities including benefits administration, HRIS updates, onboarding, offboarding, leave tracking, employee documentation, recruitment scheduling, and candidate communications. Supports data quality, reporting, recruiting analytics, process automation, and responsible use of AI tools while safeguarding confidential employee information. Partners with HR, IT, payroll, managers, benefits providers, and candidates to ensure accurate, timely, and supportive People & Culture operations.

Coordinates recruitment, onboarding, offboarding, benefits administration, leaves of absence, employee records, documentation, and HRIS updates. Supports U.S. and Canadian benefits, recruiting analytics, reporting, candidate communications, and employee inquiries. Maintains confidential data accuracy while partnering with managers, IT, payroll, and benefits providers. Contributes to AI-enabled process automation, workflow improvements, and People & Culture projects.

Provides first-line support for iQmetrix SaaS products by triaging cases, troubleshooting issues, resolving requests, communicating with clients, and escalating complex problems. Maintains case ownership, supports live chat and on-call coverage, identifies incidents and recurring trends, and creates knowledge documentation. Collaborates with Technical Support, Development, Product, Client Enablement, and Account Management teams while using AI-assisted tools and verifying their output.

Provides first-line support for iQmetrix clients through case intake, triage, troubleshooting, live chat, and timely issue resolution. Documents cases, escalates complex defects, communicates with clients, identifies service trends, maintains knowledge articles, and participates in after-hours on-call support. The role requires accurate case ownership, technical investigation, collaboration with internal teams, and effective communication with non-technical users.

Provides first-line support for iQmetrix software products by triaging cases, troubleshooting issues, resolving problems at first contact, communicating with clients, documenting solutions, and escalating complex issues. The role manages a support queue, monitors incidents and trends, updates knowledge articles, and participates in after-hours on-call coverage. It is a full-time maternity-leave contract through approximately May 31, 2028, with possible permanent conversion.

Own client onboarding and adoption from kickoff through go-live. Lead readiness checkpoints, setup validation, training, stakeholder communication, risk identification, and post-launch handoffs. Monitor adoption signals, maintain Salesforce records, and collaborate with Implementation, Product, Support, and Account Management. Improve launch consistency by developing playbooks, checklists, training materials, and process improvements.

Own client onboarding and adoption from kickoff through go-live. Lead readiness checkpoints, setup validation, training, stakeholder communication, risk identification, and post-launch handoffs. Monitor early usage, create targeted enablement plans, maintain Salesforce records, and improve onboarding playbooks, checklists, and training materials while collaborating with Implementation, Product, Support, and Account Management teams.

Own client onboarding and adoption from kickoff through go-live. Lead onboarding plans, readiness checkpoints, training, stakeholder communication, risk identification, and post-launch handoffs. Monitor adoption signals, maintain Salesforce records, and collaborate with Implementation, Product, Support, and Account Management. Improve launch consistency by developing playbooks, checklists, training materials, and process improvements.

Own client onboarding and adoption from kickoff through go-live. Lead onboarding plans, readiness checkpoints, training, stakeholder communication, risk identification, and post-launch handoffs. Monitor early usage, improve launch playbooks and training materials, and maintain accurate onboarding records in Salesforce while collaborating with Implementation, Product, Support, and Account Management teams.

Own a strategically important national wireless carrier account and its dealer network. Build executive relationships, manage renewals and commercial negotiations, drive revenue growth and platform adoption, and identify expansion opportunities. Coordinate product, delivery, support, and professional services teams to address customer needs, lead modernization initiatives, resolve escalations, and execute account reviews and strategic plans.

Design, build, and optimize lakehouse data pipelines and curated data products using Python and SQL. Improve performance, observability, governance, and cost-efficiency. Own data modeling, orchestration, data quality, and secure access patterns. Partner with product, engineering, and analytics teams, troubleshoot production issues, and mentor junior engineers to advance the organization’s data platform and AI readiness.

Design, build, and optimize cloud-native lakehouse pipelines and curated data products using Python and SQL. Own data modeling, performance tuning, governance, observability, orchestration, and production reliability while mentoring engineers and partnering with product, analytics, and AI teams.

Design, build, and optimize cloud-native lakehouse data pipelines and curated data products using Python and SQL. Own data modeling, governance, observability, performance tuning, orchestration, and platform design. Partner with product, engineering, and analytics teams, mentor engineers, and support near-real-time and AI-ready datasets.

Design, build, and optimize cloud-native lakehouse pipelines and curated data products using Python and SQL. Own data modeling, orchestration, observability, performance tuning, governance, and secure access for multi-tenant SaaS analytics and AI use cases. Mentor engineers, lead reviews, troubleshoot production issues, and drive reusable platform patterns to support reporting, embedded analytics, operational data products, and ML-ready datasets.