Invisible Technologies Inc.

Manager

• Ensure AI training and multilingual data operations maintain the highest standards of accuracy, consistency, cultural relevance, and linguistic excellence.
• Act as a quality guardian across enterprise delivery programs, including human-in-the-loop (HITL) workflows and advanced multilingual data generation processes.
• Partner with Operations Managers, project leads, and client stakeholders to define and implement robust quality assurance protocols.
• Conduct proactive QA audits and root-cause analyses to drive performance improvements and maintain client trust and satisfaction.
• Work closely with Delivery, Product, Engineering, and Customer Success teams to address quality concerns and build preventive measures.
• Identify process inefficiencies or gaps and streamline operations to improve delivery accuracy and speed.
• Generate regular reports and insights on delivery performance trends, multilingual QA activities, and recommendations to leadership.
• Develop and implement comprehensive QA frameworks for large-scale AI data and multilingual delivery workflows.
• Evaluate and implement QA tools and automation frameworks to streamline quality checks and reduce manual errors.

Quality Manager

Full-stack Engineer

• Contribute during a phase of rapid growth, focusing on scaling models and improving platform performance as part of the Forward Deployed Engineering team.
• Build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions.
• Develop and maintain AI/ML systems: build robust, scalable backend systems that support machine learning operations and data processing pipelines.
• Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models.
• Independently explore and address complex problem spaces to improve system capabilities and performance.
• Work closely with ML engineers and data scientists to integrate advanced ML technologies across platforms.
• Collaborate directly with clients, embedded with client teams to support use case discovery, product development, and AI deployment.
• Actively participate in research and development of new tools to enhance AI capabilities and workflows.
• Combine hands-on model development with backend engineering and infrastructure work to enable rapid iteration and production-ready deployments.

Principal Software Engineer

Brand Manager

• Work closely with People and Marketing teams to design and deliver a world-class employer brand strategy
• Own and evolve our talent brand strategy to attract elite candidates who add to our culture and align to our values
• Create and execute recruitment marketing campaigns that expand awareness of job opportunities and strengthen Invisible’s reputation as a destination employer
• Develop and deliver multimedia content, employee stories, and thought leadership to enrich external channels and social media presence
• Ensure brand consistency across all candidate touchpoints, from awareness through onboarding
• Identify and drive Invisible’s presence at key conferences, industry events, and award programs including speaking opportunities and sponsorships
• Partner with executives and thought leaders to extend Invisible’s brand externally
• Track, analyze, and report on the impact of brand campaigns, using data to inform decisions and optimize ROI
• Support high-impact, in-person collaboration in-office a few days per week as needed

Talent Brand Manager

Systems Engineer

• Partner with People Systems on executing the People Systems strategy and roadmap.
• Evolve our HRIS (Rippling), serving as the primary technical and functional expert, handling configuration, business process enhancements, and issue resolution.
• Design and implement automations and workflows that reduce manual work and eliminate friction in the builder lifecycle (from onboarding to offboarding).
• Work with the relevant teams on rolling out 15Five modules.
• Ensure data accuracy and integrity across all systems, driving clean data practices, rigorous audits, and proactive error resolution.
• Partner closely with the broader People team, Finance and Accounting, Hiring, and IT to align on headcount data, compensation workflows, and system integrations.
• Lead data security and compliance efforts, ensuring the right people have access to the right data.
• Design and scale processes for critical People programs, including performance reviews, compensation cycles, and organizational changes.
• Support technical troubleshooting across all People tools and related integrations, escalating as needed and documenting solutions.
• Contribute to broader IT administration efforts as needed, especially around provisioning, deprovisioning, and user lifecycle management.
• Stay on top of emerging trends in HR tech, systems, and security, and bring fresh ideas to the team.

Senior People Systems Analyst

• Sits within the Finance team and reports directly to the Controller
• Own and manage all aspects of US and International tax compliance and planning, including researching and interpreting tax laws, rulings, and regulations to ensure accurate and timely tax reporting and compliance
• Assure timely payment of tax provisions to all tax agents, including gross receipts tax, income tax, sales/use tax, VAT, excise, franchise and property tax
• Collaborate with tax preparers; review all federal, state, local and international tax returns, ensuring accuracy and completeness while minimizing tax liabilities
• Oversee tax audits and inquiries from tax authorities, working closely with internal and external stakeholders to provide necessary documentation and support
• Develop and implement tax strategies to optimize the company’s overall tax position while ensuring compliance with applicable laws and regulations
• Collaborate with cross-functional teams, including Accounting, Legal, Hiring, Technology, and Operations, to identify tax implications of business decisions and transactions
• Monitor changes in tax laws and regulations and assess their impact on the company; recommend and implement necessary adjustments to tax strategies and compliance processes
• Provide guidance and training to internal stakeholders on tax matters, ensuring understanding and compliance with tax policies and procedures and escalation of tax risks
• Manage relationships with external tax advisors and consultants, coordinating their efforts to support the company’s tax objectives effectively and cost efficiently
• Stay abreast of industry trends and best practices in tax management and incorporate them into the company’s tax planning and compliance strategies
• Participate in special projects and initiatives as assigned by senior management, contributing tax expertise and insights to achieve business objectives

Director of Tax

Product Manager

• Shape Neuron’s vision, strategy, and execution end-to-end — spanning integration, analytics, and intelligent applications, ensuring alignment with Invisible’s broader product ecosystem.
• Own Neuron’s roadmap and vision: define and prioritize features that make enterprise data more unified, reliable, and valuable.
• Drive intelligence & analytics capabilities: expand Neuron’s ability to deliver predictive insights and forward-looking analysis that help clients anticipate and act.
• Elevate data usability: create intuitive experiences for technical and non-technical users to make decisions with clarity and confidence.
• Ensure platform cohesion: partner with other product leaders to enable seamless integration across modules and make Neuron a core component of the AI ecosystem.
• Translate client needs into product outcomes: work closely with forward-deployed teams to turn enterprise challenges into scalable product solutions.
• Measure and improve success: define and track KPIs such as time-to-value, engagement, and impact on client outcomes, iterating to maximize results.
• Stay ahead of the market: monitor competitors and emerging trends to position Neuron as the agile, business-first alternative in enterprise AI.
• Partner with engineering, design, forward-deployed teams, and leadership to scale Neuron into a category-defining platform.

Group Product Manager

• Design, implement, and maintain sophisticated workflow and event-driven systems
• Develop isolated execution environments using containers
• Create and optimize runtime environments for performance and reliability
• Architect, implement, and maintain modular systems and robust APIs (e.g., GraphQL subscriptions)
• Conduct complex debugging sessions and resolve challenging system-level issues
• Optimize memory management strategies to enhance system efficiency
• Design and implement enterprise software systems with an emphasis on security, operations, observability, and identity management
• Ensure rigorous security standards and compliance with enterprise security policies
• Integrate robust observability tools (logging, metrics, tracing) to enhance monitoring and troubleshooting capabilities
• Implement identity management solutions, including authentication, authorization, and access control
• Provide mentorship and technical leadership to junior engineers
• Collaborate closely with cross-functional teams, including product management and operations
• Establish and promote engineering best practices and coding standards
• Participate in an on-call rotation to handle potential incidents

Staff Software Engineer

• Build breakthrough AI Products - Design and implement novel AI solutions that solve complex problems
• Research and experiment - Stay at the forefront of AI developments, identifying and testing emerging technologies before they become mainstream. Make accurate predictions about which technologies will drive the next wave of innovation and build for that reality.
• Rapidly prototype and iterate - Move quickly from theoretical concepts to working demonstrations that prove new capabilities and business value.
• Scale cutting-edge research - Work with massive datasets and distributed systems to bring research breakthroughs into production systems used by enterprise clients.
• Collaborate across teams - Partner with product engineering and solutions teams to integrate novel AI capabilities into our core platform.
• Interface with leadership - Present findings and recommendations directly to C-suite executives, influencing company strategy and product direction.