Parafin

Recruitment

• Schedule and coordinate interviews across multiple time zones, managing logistics for candidates and interviewers.
• Act as a main point of contact for candidates, ensuring timely communication and an outstanding candidate experience.
• Partner with recruiters and hiring managers to support all stages of the hiring process
• Maintain accurate and up-to-date candidate records in our applicant tracking system (Ashby).
• Identify opportunities to improve recruiting operations, processes, and candidate engagement.
• Assist with greeting candidates visiting the office, employer branding efforts, recruiting events, and other talent initiatives as needed.

Recruiting Coordinator

Full-stack Engineer

• You will fully own our customer facing web product and drive its development
• You will help define the product architecture all the way from the technologies we use to design principles that we apply
• You will frequently talk to our customers to understand their needs and define the product experience
• You will work closely with our product designers and ensure a high quality bar for our products
• You will help scale the Parafin team by hiring exceptional talent

Product Engineer

Security Engineer

• Lead efforts to improve Parafin’s overall security posture across infrastructure, applications, and data systems.
• Develop and maintain frameworks for identity, access management, and least-privilege enforcement.
• Establish and operate best-in-class security monitoring, alerting, and incident response processes.
• Partner with product and infrastructure engineers to embed secure-by-default patterns in our systems and applications.
• Define and enforce standards for vulnerability management, secrets handling, and dependency integrity.
• Collaborate with compliance and risk teams to build and maintain controls aligned with frameworks such as SOC 2, PCI DSS, and other fintech regulations.
• Support audits and security assessments by ensuring controls are properly implemented and evidenced.
• Contribute to security awareness and training efforts across engineering teams.
• Influence long-term strategy on secure architecture, detection, and response automation.

Staff Security Engineer

Revenue Operations

• Partner with GTM teams to develop and operationalize quarterly and annual top-line goals, including building top-line financial models and forecasts
• Drive capacity planning, incentives, and development of revenue-specific KPIs
• Lead cross-functional strategic initiatives to accelerate growth and improve go-to-market efficiency, including market, customer, and product segmentation and playbook development
• Build and maintain dashboards to track KPIs across the funnel (MQLs, SQLs, pipeline velocity, win rates, churn, activation)
• Provide actionable insights on revenue performance, forecasting accuracy, and pipeline health
• Own, configure, and optimize the GTM tech stack (Salesforce, automation tools, sales engagement platforms, data enrichment)
• Design and automate end-to-end GTM processes: lead routing, pipeline hygiene, deal desk operations, handoffs between sales and account management
• Collaborate with technical teams and vendors to improve system scalability and data accuracy
• Standardize pricing guidelines, commercial templates, and deal financial models
• Act as a bridge between Product, GTM, and Legal to support scalable, efficient deal execution

Revenue Operations and Strategy Lead

Technical Recruiter

• Own and drive the full-cycle recruiting process for engineering roles, from sourcing and screening to offer negotiation and closing
• Partner closely with hiring managers to understand hiring needs, define role requirements, and develop effective sourcing strategies
• Build and maintain a strong pipeline of technical talent through proactive outreach, networking, and creative sourcing strategies
• Deliver a best-in-class candidate experience by providing timely communication, thoughtful engagement, and a transparent process
• Analyze recruiting metrics and data to optimize hiring processes and improve overall efficiency
• Act as a talent advisor by sharing market insights and competitive intelligence with hiring teams
• Champion Parafin’s culture and employer brand by representing the company at industry events, networking meetups, and recruiting initiatives

Research Scientist

• Develop and lead end-to-end research projects, from scoping and methodology design to execution and analysis.
• Partner with product, marketing, design, and sales teams to create research roadmaps aligned with business objectives.
• Define research methodologies that balance rigor with speed and practicality, including both qualitative and quantitative approaches.
• Identify, recruit, and manage research participants across various customer segments.
• Build and maintain processes and systems for participant outreach, scheduling, and ongoing relationship management.
• Synthesize complex data into clear, compelling, and actionable insights.
• Create executive-level presentations, reports, and summaries that drive product strategy, design decisions, and go-to-market approaches.
• Champion the voice of the customer throughout the organization.
• Collaborate closely with product managers to identify knowledge gaps and prioritize research opportunities.
• Partner with marketing and sales to inform messaging, positioning, and market understanding.
• Work with designers to test usability and user experience, ensuring customer needs are central to design decisions.

Senior Researcher

AI Engineer

• Focus on leveraging industry-leading models to ideate and execute initiatives across financial infrastructure, underwriting, risk modeling, merchant platforms, and partner integrations
• Build end-to-end GenAI-based systems from data collection and experimentation to integration and reliability
• Shape applied GenAI investment areas by engaging with engineering and product teams
• Architect and implement robust & scalable infrastructure, including platform-level monitoring and auditing and safe agent integration into production
• Collaborate with cross-functional teams to deliver seamless product integrations and enhance the merchant experience
• Work with industry-leading GenAI libraries, frameworks, and platforms to drive business outcomes

Applied AI Engineer

Accounting Manager

• Help manage projects that improve processes and reporting for the Accounting function, including the enablement of automated journal entries and data enablement for subledger to ledger account reconciliations
• Take part in developing, documenting, and executing key policy documents and internal controls related to accounting processes and procedures
• Oversee and manage certain day-to-day accounting processes for Parafin and its subsidiaries
• Drive process improvement through automation initiatives: develop a plan, clearly communicate project goals, resource needs, and business outcomes, including partnering with engineering to design and implement technological solutions for process automation
• Own parts of the month-end close, including journal entries, account reconciliations, and variance analytics
• Own preparation of the monthly/quarterly/annual financial reporting package
• Perform technical accounting research
• Support external audit, tax compliance, and miscellaneous reporting requirements from investors and stakeholders
• Collaborate with the Accounting team members on general accounting matters and ad hoc projects
• Oversee our outsourced bookkeeping team and identify incremental opportunities

Accounting Analyst

Engineer

• Act as the main technical liaison for platform partners, guiding them through onboarding and new product integrations by providing comprehensive support.
• Be the voice for our partners internally - collaborate with product and engineering to improve Parafin's platform offerings, using valuable partner feedback to drive product enhancements.
• Conduct engaging, informative onboarding and education sessions to support seamless partner integrations.
• Scale technical onboarding with a focus on reducing the time to integrate with Parafin products, including owning and building internal or partner-facing tools.
• Document integration requirements and processes (internally and for partners), ensuring knowledge transfer and ease of support as our partner portfolio scales.
• Provide ongoing technical account management post-launch - optimizing integrations, expanding product usage, and monitoring and swiftly resolving integration-related challenges.
• Act as the central point of contact for identifying and debugging critical technical issues, coordinating prompt resolutions between internal teams and platform partners, and providing tailored solutions where necessary.
• Work closely with platform growth, product, and engineering teams to drive Parafin’s partner integrations and growth.

Partner Engineer

• Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS
• Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation
• Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products
• Own the Data & ML platform infrastructure using Terraform, including end‑to‑end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines
• Lead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring)
• Act as the primary engineering partner for the Data Science team—embedded closely to gather requirements, design scalable solutions, and provide end-to-end support on all engineering aspects of their work
• Work closely with backend engineers and data scientists to design performant data models and support new product development initiatives
• Share best practices and mentor other engineers working on data-centric systems