InVision Communications

Scheduler

• The Planned Services Scheduler is responsible for coordinating, scheduling, and supporting interpreter coverage for planned interpreting services across a wide range of service types.
• Reporting into the Planned Services Department, this role ensures that customer commitments are met through accurate scheduling, proactive coordination, and strong communication with interpreters, customers, and internal teams.
• This position plays a critical role in maintaining service quality, mitigating coverage risks, and supporting operational readiness for planned assignments, while partnering closely with Workforce Management, Finance, Sales, and Operations.
• Maintain availability during standard business hours, Monday through Friday, with flexibility to support planned services as needed.
• Monitor, respond to, and schedule interpreter service requests for planned services, including but not limited to onsite interpreting, 24/7 on-call services, CART, conference interpreting, translation projects, and planned VRI.
• Ensure accurate, efficient, and cost-effective assignment of interpreters based on service requirements, interpreter qualifications, and contractual obligations.
• Proactively troubleshoot scheduling conflicts and adjust assignments to maintain service continuity and quality.
• Maintain accurate and up-to-date scheduling documentation, calendars, workflows, and job details.
• Ensure interpreters receive timely access to prep materials, revisions, updates, and relevant job resources.
• Develop and execute contingency plans to mitigate coverage risks and minimize service disruption for planned assignments, including last-minute changes or interpreter availability challenges.
• Assess the impact of staffing changes on service delivery and escalate risks as appropriate.
• Prepare clear, visually digestible reports and summaries for leadership and key stakeholders.
• Support audit preparation and data verification related to billing and payroll in partnership with internal teams.
• Provide timely, professional, and customer-focused communication with external customers, interpreters, and internal partners.
• Build and maintain positive working relationships with customers, interpreters, and internal teams.
• Collaborate cross-functionally with Workforce Management, Finance, Sales, and Operations to ensure staffing alignment, billing and payroll readiness, and high-quality service delivery.

Planned Services Scheduler

Full-stack Engineer

• Design and implement services and features within established architectural patterns.
• Contribute to written technical designs and implementation plans, collaborating with senior engineers to ensure alignment on broader system impact.
• Review approaches and trade-offs with the engineering team to maintain consistency, scalability, and reliability across the platform.
• Build software with security, privacy, and compliance considerations in mind, partnering with internal teams as needed.
• Develop, test, and deploy production-ready code, including building and maintaining automated tests, to balance delivery timelines with system stability, reliability, and maintainability.
• Apply sound technical judgment when refactoring existing systems or implementing pragmatic fixes, documenting decisions and communicating trade-offs clearly.
• Participate actively in code reviews and uphold established engineering standards and best practices.
• Proactively identify technical risks, performance bottlenecks, and system weaknesses, proposing solutions and collaborating with senior engineers on higher-impact remediation efforts.
• Participate in production support and incident response, contributing to investigation and resolution efforts.
• Contribute to monitoring, logging, and alerting practices, and assist with incident investigation, root cause analysis, and follow-up improvements to support system health and reliability.
• Create and maintain clear technical documentation, including implementation notes, architectural context, and code-level documentation.
• Use written communication to keep work visible, reduce reliance on synchronous meetings, and support effective collaboration in a distributed environment.
• Partner with Product and Operations teams to understand requirements and deliver reliable technical solutions.
• Collaborate effectively with distributed team members across time zones using asynchronous tools such as Slack, Jira, and shared documentation.
• Support continuous improvement initiatives that enhance system reliability, developer efficiency, and operational clarity.

Software Engineer II

Data Engineer

• Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability.
• Design and build scalable pipeline improvements or net-new solutions where current practices fall short.
• Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems.
• Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow.
• Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment.
• Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability.
• Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements.
• Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data.
• Own data governance, documentation, lineage, version control, and data quality standards across the organization.
• Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization.
• Work closely with the data analyst to translate business questions into reliable, queryable data structures.
• Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly.
• Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions.
• Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs.
• Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms.
• Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person.
• Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices.
• Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems.
• Maintain clear technical documentation and operational standards that support long-term maintainability.
• Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability.
• Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data.