Talent Inc.

Data Analyst

• Mine and analyze data for stories, exploring internal and third-party data sources (resumes, hiring trends, user activity) to find patterns and insights.
• Use AI tools (ChatGPT, Perplexity, data copilots) to summarize findings and identify content angles, partnering with the PR and content writers for validation.
• Use tools such as Python, Google Sheets, and web-scraping platforms to collect, clean, and prepare datasets that uncover insights for campaigns.
• Design and run small research projects, such as creating and deploying short surveys to build ‘state of’ reports and trend summaries with the support of the content and PR team.
• Translate complex data into clear, compelling insights that resonate with media and our brand’s audiences.
• Monitor public datasets, industry trends, and social conversations and proactively highlight emerging topics for PR or content stories.
• Partner with content, PR, and SEO departments to package data insights into press releases, blog posts, and visuals.
• Maintain data accuracy, integrity, and transparency across all outputs.

PR Research and Data Analyst

SEO Marketing

• Optimise and maintain site content to improve freshness, structure, and on-page SEO performance
• Use insights from our LLM / GEO / AEO tools to guide updates and new content creation
• Collaborate with SEO, PR, and Sales teams to produce content (landing pages, thought leadership, outreach materials)
• Experiment with AI tools and prompting for ideation, research, editing, and optimisation
• Drive our GEO/AEO efforts so content is structured to be cited, visible, and trusted by AI systems
• Track and report how changes affect both organic and AI visibility
• Keep up to date with search and LLM trends and feed insights back into the team

SEO, AI Content Specialist

QA Engineer

• Develop and execute comprehensive test plans and test cases to verify the functionality, usability, and performance of software applications
• Perform manual testing to identify defects, inconsistencies, and usability issues in both web and mobile applications
• Collaborate closely with developers, product managers, and business analysts to understand project requirements and verify that they are met
• Document and report defects, issues, and test results clearly and accurately, using designated bug tracking tools
• Conduct regression testing to ensure that software updates and changes do not introduce new defects
• Perform exploratory testing to identify unexpected issues and usability concerns
• Participate in test environment setup and data preparation activities
• Contribute to the continuous improvement of the QA process and testing methodologies
• Stay up-to-date with industry best practices, testing tools, and emerging trends in software quality assurance
• Collaborate with cross-functional teams to ensure timely and quality software releases
• Provide feedback and insights to improve the overall user experience and software quality

Manual Tester

Backend Engineer

• Develop and maintain robust, high-quality codebase using Ruby, React, Recoil or Redux, Material UI, and JavaScript.
• Collaborate with cross-functional teams to translate designs and wireframes into high-quality code.
• Architect, design, and implement systems with a focus on high availability, low latency, and scalability.
• Establish and promote best practices and standards within the team.
• Lead the design and implementation of scalable, responsive, and well-documented frameworks.
• Drive continuous adoption and integration of relevant new technologies into the design.
• Mentor junior developers and advocate for engineering best practices.
• Passionately drive and improve code quality through writing unit tests, automation, and performing code reviews.
• Spearhead the development of consumer-facing features that reach millions of users, ensuring high performance on mobile and desktop.
• Collaborate with the VP of Engineering and other stakeholders to establish and meet project timelines and deliverables.

Full Stack Developer – React/Ruby

Machine Learning Engineer

• Develop and implement machine learning models and algorithms to solve complex business problems
• Drive data-driven decision-making
• Collaborate closely with data scientists, software engineers, and stakeholders
• Deploy machine learning solutions in production environments

Machine Learning Engineer – Contract

Frontend Engineer

• Seeking top talent to join our growing and professional team
• Work with us on a 6 month project on building applications using React
• Collaborate with team members to optimize frontend deployments for page speed and SEO

Front End Engineer – React, Contract

• Be part of the development of highly scalable and reliable Ruby microservices.
• Architect, design, and implement backend systems with a focus on high availability, low latency, and scalability.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure consistent use of shared platform components and technologies within the engineering team.
• Implement and maintain proper database design and integration using PostgreSQL.
• Design and implement caching mechanisms using middleware such as Redis.
• Drive continuous adoption and integration of relevant new technologies into the design.
• Maintain up-to-date knowledge of Ruby language, tools, and best practices.
• Foster a culture of code quality and enforce best practices for unit testing and code coverage.
• Provide technical leadership and mentorship to junior engineers through coaching and career development.

Backend Engineer, Ruby – Contract

Human Resources

• Assist our product team for a few hours a week, over approximately 3 months to help build out and develop solutions
• Job Architecture
• Organization Analysis
• Succession Planning
• Job Family Design
• 100% remote/work-from-home role

Talent Management Consultant

• Conduct research, create dashboards, and generate reports for teams across the organization
• Ensure data is accurate and high-quality; analyze, structure, and present data to aid decision-making
• Develop and implement data-driven strategies to enhance product performance and user experience
• Analyze user behavior and product usage data to identify opportunities for optimization and innovation
• Create visually engaging reports and dashboards for internal teams and external partners
• Perform in-depth data analysis to uncover reasons behind metric fluctuations and verify assumptions
• Collaborate with cross-functional teams to understand product requirements and improve feature functionalities
• Utilize statistical models and machine learning techniques to predict product trends and user behavior
• Implement rigorous quality assurance processes to uphold data accuracy and reliability
• Present insights and recommendations to stakeholders, contributing to product strategy development
• Enhance data warehouse organization with new objects like analytic data marts and views
• Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs

Data Engineer

• Design, build, and maintain a robust multi-stage data warehouse infrastructure, with a focus on either RedShift or Snowflake, ensuring scalability, performance, and data integrity
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse
• Implement and optimize dbt for data transformation, modeling, and documentation, ensuring data accuracy and consistency
• Implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks, to ensure data accuracy and reliability
• Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and provide actionable insights
• Stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement and innovation within the team

• Design, build, and maintain a robust multi-stage data warehouse infrastructure (RedShift or Snowflake)
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse
• Implement and optimize dbt for data transformation, modeling, and documentation
• Implement comprehensive data testing procedures including unit tests, integration tests, and validation checks
• Work closely with data scientists, analysts, and product managers to understand data requirements and provide actionable insights
• Stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement and innovation within the team

Lead Data Engineer

Performance Marketing

• The role focuses on owning and executing a multi-channel, B2B demand generation strategy to drive pipeline growth and revenue for Career.io's outplacement services. • Partner with Sales and Content to design and implement programs that attract, nurture, and convert HR leaders, CHROs, and enterprise buyers. • This is a 100% remote/work-from-home role. • Manage campaigns across paid media, ABM, email, social, webinars, events, and partnerships. • Lead nurture & conversion: design automated nurture programs in HubSpot to engage prospects and accelerate conversion. • Analytics & Reporting: track KPIs including lead volume, cost per lead, MQL-to-opportunity conversion, and campaign ROI. • Collaboration & Alignment: partner with Sales to ensure seamless handoff of qualified leads and alignment on ABM programs.

Demand Generation Manager

Accounts Receivable

• As an Accounts Receivable Coordinator at Career.io, you'll own a book of accounts while working in a fast-paced environment, primarily supporting our Collections needs.
• You’ll balance daily and month-end accounts receivable to general ledger balances and investigate outstanding invoices, making collection calls, negotiating payment terms, and processing liens for collections, when necessary.
• This is a 100% remote/work-from-home role.
• This is a part-time role, estimated 20 hours/week.
• Responsible for accounts receivable collections, communicating with customers about payment confirmations, billing discrepancies, and questions; working with the customer care department to resolve discrepancies
• Communicate with Careerminds leadership and the accounting manager regarding collections progress
• Processing Customer Credit Card Payments
• Review Billing records to research double pay issues or billing errors that cause a delay in payment
• Collect on all open AR
• Communicating with customers and internal staff to resolve invoice dispute issues.
• Monitoring the credit department email inbox
• Other AR projects as requested by the Manager