Remofirst

Data Engineer

• Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect).
• Develop and maintain dimensional and semantic data models to support analytics and operational use cases.
• Build curated data products that support analytics and modern AI workloads.
• Design data schemas and storage strategies optimized for both analytical and AI workloads.
• Build and maintain version control workflows and isolated development/test environments.
• Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.
• Contribute to the architecture and evolution of the organization's modern data platform.
• Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.

Senior Data Engineer

Revenue Operations

• Partner with Sales, SDR, and Partner teams to optimize CRM workflows, improve sales processes, administer PandaDoc, support revenue tools, and execute cross-functional operational initiatives.
• Own the administration, maintenance, and continuous improvement of the CRM, ensuring data integrity, process consistency, and user adoption.
• Identify opportunities to automate manual processes and improve operational efficiency across the revenue organization.
• Design and deliver monthly Sales Enablement training sessions in partnership with Sales leadership, including topic selection, presentation development, and training delivery.
• Own the monthly sales commission calculation process within Remuner, ensuring accuracy and compliance with compensation plans.
• Partner with the Finance team to ensure timely and accurate commission disbursements.
• Own the Monthly Recurring Revenue (MRR) reporting process and prepare recurring management reports to provide visibility into revenue performance.
• Build, maintain, and enhance dashboards and reports that support sales performance, pipeline visibility, forecasting, and executive decision-making.
• Support ad hoc Request for Proposal (RFP) responses and other strategic initiatives as needed.
• Serve as the primary point of contact for Account Executives and other revenue team members on CRM, compensation, sales tools, reporting, and operational processes.
• Collaborate across Sales, Finance, Customer Success, Partnerships, and Leadership to document, standardize, and continuously improve revenue operations processes.

Revenue Operations Manager

Product Manager

• Own a core product area end to end, from strategy and discovery to launch and iteration
• Turn problems into clear opportunities and translate them into actionable product plans
• Collaborate with design and engineering to ship simple, intuitive, high-quality experiences
• Use data, customer insights, and market signals to drive decisions and shape the roadmap
• Ensure your product moves quickly, delivers measurable impact, and supports global scale
• Work closely with leadership to drive high-level priorities and company-wide outcomes

Senior Product Owner

Account Executive

• You will be focused on driving new business.
• Take a thoughtful approach to which companies you are targeting and how you are positioning the benefit of RemoFirst.
• Present a demo and take a consultative approach as to the benefits of RemoFirst for the prospect.
• Close accounts at a high velocity.
• Track and report on progress leveraging the company’s CRM.
• Be a team player - provide feedback on ways to improve the sales process.

Business Intelligence Developer

• Gather and analyze business reporting and analytics requirements.
• Define KPIs, metrics, and business rules with stakeholders.
• Develop, maintain, and enhance dashboards and reports using BI tools.
• Design reusable analytical datasets and collaborate with Data Modelers to enhance analytical data models.
• Evaluate and refine business reporting requirements to deliver scalable analytical solutions
• Perform data analysis to identify trends, patterns, and business insights.
• Support Data Governance initiatives by documenting business metrics, dashboard definitions, metadata, and business glossary entries.

Business Intelligence Analyst

Risk

• Own the end-to-end Data Quality program: SLAs, monitoring, testing, issue resolution and continuous improvement.
• Drive requirements gathering with business and data teams to define and document technical and business data quality rules.
• Build and maintain dbt-based Data Quality tests across the medallion architecture (Bronze / Silver / Gold layers).
• Build DQ dashboards and lead root-cause analysis to improve trust in data.
• Build and maintain the enterprise data catalog and business glossary, ensuring metadata, ownership, lineage, and business definitions remain accurate, documented, and discoverable.
• Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
• Enable trusted and reusable data foundations for analytics and AI use cases by improving discoverability, context, and governance of data assets.
• Support governance and compliance practices for sensitive and regulated data.
• Act as the bridge between Data and Business teams on definitions, ownership, trust, and governance decisions.
• Facilitate workshops with domain owners to define business rules and data contracts.
• Drive data discoverability and become the trusted point of contact for data meaning and reliability.

Data Quality & Governance Specialist

AI Engineer

• Implement new AI features in products
• Build tools & frameworks augmenting the capabilities of LLM/VLMs
• Build AI automations & AI agents
• Fine-tune AI models
• Fine-tune and maintain models with the HuggingFace toolkit
• Monitor model's performance
• Work with and guide internal teams on building custom datasets
• Rapidly build and test AI-driven concepts — moving from proof of concept → MVP → production.
• Evaluate existing solutions (both internal & external) and conduct experiments on potential improvements

Affiliate Manager

• Partner with hiring managers to understand hiring needs and define role requirements;
• Coordinate end-to-end recruitment processes across global roles;
• Manage job postings, candidate pipelines, interviews, feedback loops, and offers;
• Support employer branding initiatives and help scale our talent acquisition efforts;
• Ensure a positive, transparent candidate experience;
• Coordinate pre-boarding and onboarding for new hires;
• Ensure new joiners have everything they need on Day 1 (tools, access, documentation);
• Collaborate with IT, Finance, and Hiring Managers for a smooth onboarding process;
• Collect feedback and iterate on the onboarding experience;
• Partner with the broader People team on engagement, feedback, and organisational culture projects.