Jeeves Inc.

Title: Bilingual Collections & Accounts Receivable Specialist Location: Colombia Type: Full-time Workplace: hybrid Category: Collections Job Description: Jeeves is a groundbreaking financial operating system built for global businesses that provides corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries including Brazil, Canada, Colombia, Mexico, the United Kingdom, across Europe, and the United States, and serves over 5,000 clients ranging from venture-backed startups to SMBs around the world. With a mission to empower businesses with more efficient and cost-effective financial solutions worldwide, Jeeves combines cutting-edge financial technology with exceptional team expertise to transform the business financial landscape. Jeeves has been recognized as one of The Information's 50 Most Promising Startups in 2023, as well as a Y Combinator Top Company 2021-2023 and won “Fintech of the Year" at the European Fintech Awards. Since graduating from Y Combinator in 2020, Jeeves has successfully raised over $380 million and is backed by top world-class investors including Andreessen Horowitz, Y Combinator, CRV, Tencent, Stanford University, Clocktower Ventures, and founders of more than 15 unicorns including David Velez (Nubank), Carlos Garcia (Kavak) and Sebastián Mejía (Rappi). We are seeking a high-caliber, strategic Bilingual Collections & Accounts Receivable Specialist to join our Finance team in Bogotá. In this role, you will manage a complex portfolio of corporate accounts, ensuring the timely recovery of funds and optimization of Portfolio Health, while maintaining the premium service standards expected in the Fintech industry. The ideal candidate is an expert in negotiation and dispute resolution, possesses a strong AI-first mindset, and can operate with high autonomy. You will serve as a critical strategic link, navigating seamlessly between internal cross-functional partners, external legal/collection agencies, and specialized AI automation tools to drive down DSO and mitigate financial risk. Location: This role is based out of Colombia, and is a full-time hybrid position where it is required to come into our office in Bogota. #LI-HYBRID Job Responsibilities: - Portfolio Management: Manage an assigned end-to-end B2B accounts receivable portfolio, utilizing advanced collection methodologies to maximize recovery and reduce past-due percentages. - AI Partner & System Management: Directly monitor, drive, and optimize the performance of our AI partner for Collections, ensuring automated workflows and AI contact strategies are executing correctly. - Proactive Risk Mitigation: Maintain a proactive approach to identifying high-risk or deteriorating accounts early, providing timely visibility and actionable insights to the Risk Team. - Internal Navigation & Alignment: Act as a central point of contact to navigate and collaborate seamlessly with internal functions working closely with Collections, including Go-To-Market (GTM), Customer Support, Accounting, and Payment Application. - External Partner Management: Proactively drive and manage relationship workflows with external collection agencies and oversee preliminary legal matters regarding non-performing accounts. - Autonomous Execution: Work independently and rigorously adhere to established financial processes, credit policies, and operational guardrails. - Strategic Communication & Follow-up: Execute high-level executive outreach via phone, email, and chat. Maintain a strict, target-driven follow-up cadence to ensure tasks, commitments, and payments are performed exactly on time. - Financial Analysis: Investigate root causes for non-payment, verify funding sources, and build data-driven business cases for account write-offs or payment restructures. Requirements: - Experience: Minimum of 2 years of proven, verifiable experience in Collections or Accounts Receivable, ideally within a fast-paced fintech, banking, or corporate B2B sector. - Language: Professional fluency in English and Spanish is mandatory (both written and spoken) to support international corporate accounts and stakeholders. - Work Ethic & Competencies: Exceptionally disciplined, proactive, and focused, with a strong internal drive to meet tight deadlines and handle complex objections. - Fintech/Banking Mindset: Strong foundational understanding of corporate liquidity, and financial risk mitigation. - Technical Proficiency: Advanced skills in Microsoft Excel/Office Suite; comfortable adopting, auditing, and managing AI-driven systems and CRM/Collections databases. - Bachelor’s or Associate’s degree in Finance, Accounting, Business Administration, or a related field. - Proven ability to work independently under pressure while maintaining meticulous attention to detail and zero oversight on daily follow-ups. - Location Requirement: This role is based out of Bogotá, Colombia, and is a full-time hybrid position where it is required to come into our office in the Parque de la 93 area (2–3 days/week). #LI-HYBRI

• Acquire high-quality new clients through efficient outbound strategies (Hunting) + cross-sell & upsell existing clients by providing top-notch consultative sales. • Identify business opportunities targeting mid- to large-sized businesses, enterprises, and later-stage venture-backed startups; consistently meet and exceed sales targets and deliver revenue growth as an individual contributor. • Manage full sales cycle and executive effective pipeline strategy: lead generation, prospecting, qualifying, discovery, objection handling, development, negotiating, and closing. • Provide timely, detailed, and actionable feedback to management. product and engineering teams to constantly improve Jeeves’ platform features and financial services offerings. • Collaborate with marketing and customer success to develop your own materials and increase conversion rates • Build an effortless and value-driven client experience while working directly with a versatile portfolio of business owners to help support their financial goals • Collaborate with marketing and customer success to develop your own materials and increase conversion rates • Work with our Country & Regional Managers to develop, track, and exceed quota targets. • Build an effortless and value-driven client experience while working directly with a versatile portfolio of business owners to help support their financial goals

• Build and maintain Tableau dashboards tracking performance across our partnerships channel and new growth initiatives — serving audiences from country leads to executive leadership. • Analyze conversion rates, pipeline health, ramp trends, and revenue attainment across programs and segments, surfacing patterns before they become decisions that have already been made. • Bring an interpretation and a recommendation when a program is underperforming or a trend shifts. • Contribute to GTM capacity planning and quota-setting cycles — modeling scenarios, building attainment reports, and stress-testing assumptions before plans are finalized. • Maintain performance-against-target reporting for growth programs and emerging channels: track attainment, flag outliers early, and ensure data is always reconciled. • Use AI tools, including Claude and other frontier models, as active parts of your workflow: automating repetitive reporting tasks, accelerating data synthesis, and building scalable analytical programs that would otherwise require a much larger team. • Share responsibility for data quality across our revenue stack, conducting audits for accuracy, completeness, and consistency. • Develop enough context on our GTM motion to contribute meaningfully in planning and pipeline review cycles alongside sales leadership.

Manage onboarding and offboarding workflows, serve as the first point of contact for IT support, and maintain device inventory while administering SaaS tools and user permissions to ensure security and compliance across the organization.

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end — from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services. • Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features — such as spend categorization, document parsing, or natural language workflows — ensuring those integrations are reliable, observable, and cost-efficient. • Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results. • Collaborate with AI and data science teams to integrate model outputs into backend APIs — bridging experimental AI work and production systems. • Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow. • Instrument services with structured logging, distributed tracing, and metrics for full operational visibility. • Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews. • Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices. • Work closely with engineering, product, compliance, and data teams across multiple time zones and regions — communicating in both English and Spanish or Portuguese as the situation requires. • Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback. • Bring your regional perspective to product and engineering conversations — our LATAM customers have specific needs, and engineers who understand those markets make our product better.

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end — from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end — from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services. • Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features — such as spend categorization, document parsing, or natural language workflows — ensuring those integrations are reliable, observable, and cost-efficient. • Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results. • Collaborate with AI and data science teams to integrate model outputs into backend APIs — bridging experimental AI work and production systems. • Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow. • Instrument services with structured logging, distributed tracing, and metrics for full operational visibility. • Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews. • Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices. • Work closely with engineering, product, compliance, and data teams across multiple time zones and regions — communicating in both English and Spanish or Portuguese as the situation requires. • Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback. • Bring your regional perspective to product and engineering conversations — our LATAM customers have specific needs, and engineers who understand those markets make our product better.

• Design, build, and maintain production-grade LLM integration pipelines — including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration. • Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation. • Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases. • Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job. • Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve. • Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features. • Build document ingestion and chunking pipelines for Jeeves's financial data — processing invoices, receipts, policy documents, and transaction records. • Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques. • Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure. • Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring. • Implement model performance monitoring and data drift detection to ensure production models remain accurate over time. • Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated. • Integrate AI services cleanly with Jeeves's backend microservices — designing clear API contracts, circuit breakers, and graceful degradation patterns. • Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features. • Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility. • Build human-in-the-loop review workflows for AI decisions that require oversight — particularly for high-value financial actions. • Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems. • Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly. • Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

• Design, build, and maintain production-grade LLM integration pipelines — including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration. • Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation. • Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases. • Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job. • Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve. • Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features. • Build document ingestion and chunking pipelines for Jeeves's financial data — processing invoices, receipts, policy documents, and transaction records. • Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques. • Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure. • Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring. • Implement model performance monitoring and data drift detection to ensure production models remain accurate over time. • Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated. • Integrate AI services cleanly with Jeeves's backend microservices — designing clear API contracts, circuit breakers, and graceful degradation patterns. • Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features. • Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility. • Build human-in-the-loop review workflows for AI decisions that require oversight — particularly for high-value financial actions. • Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems. • Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly. • Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

• Design, build, and maintain production-grade LLM integration pipelines — including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration. • Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation. • Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases. • Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job. • Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve. • Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features. • Build document ingestion and chunking pipelines for Jeeves's financial data — processing invoices, receipts, policy documents, and transaction records. • Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques. • Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure. • Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring. • Implement model performance monitoring and data drift detection to ensure production models remain accurate over time. • Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated. • Integrate AI services cleanly with Jeeves's backend microservices — designing clear API contracts, circuit breakers, and graceful degradation patterns. • Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features. • Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility. • Build human-in-the-loop review workflows for AI decisions that require oversight — particularly for high-value financial actions. • Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems. • Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly. • Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.