This is a deeply product-driven role. Success is measured by real customer impact , better expense documentation, stronger policy compliance, and less time spent navigating Brex , not by novelty or research output.

Responsibilities:

• Lead and grow a team of engineers building the end-to-end conversational experience for the Brex Assistant, including outbound system-initiated interactions and inbound chat.

• Operate at all levels, guiding your team through complex technical challenges while being hands on with code and contributing to design.

• Own delivery and outcomes for the Assistant roadmap, making and executing hard sequencing decisions for agent capabilities (e.g., memory, preferences, merchant data).

• Set and uphold a high bar for reliability, correctness, and UX in non-deterministic, agentic systems operating in real-world financial workflows.

• Partner closely with Product, Design, and adjacent engineering teams (Spend, Expense, Platform) to shape direction and integrate deeply with core Brex workflows.

• Establish strong team norms and execution standards, balancing velocity with validation, quality control, and operational excellence.

Requirements:

• Proven experience leading engineering teams building user-facing products in complex, real-world domains.

• Strong product judgment, with a track record of making hard tradeoffs and delivering outcomes under real constraints.

• Experience building and operating systems that must remain reliable despite messy inputs, ambiguity, or non-deterministic behavior.

• Ability to translate high-level product goals into clear technical direction and execution plans, while mentoring engineers through strong technical and product guidance.

Bonus points:

• Development experience with Typescript while leading consumer-facing AI products, especially in regulated or high-stakes domains (finance, healthcare, travel).

• Direct experience with conversational UX, agents, or other non-deterministic systems in production.

• Prior experience as a tech lead for agentic systems, particularly in spend or financial workflows.

• Personal empathy for spend-heavy workflows (frequent travel, recruiting, managing expenses on behalf of a company).

Compensation: The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

XML job scraping automation by YubHub

You will be accountable for both people leadership and product outcomes, guiding how agentic systems are designed, shipped, and operated in production. This is a deeply product-driven role. Success is measured by real customer impact , better expense documentation, stronger policy compliance, and less time spent navigating Brex , not by novelty or research output.

The role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday.

Responsibilities:

• Lead and grow a team of engineers building the end-to-end conversational experience for the Brex Assistant, including outbound system-initiated interactions and inbound chat.

• Operate at all levels, guiding your team through complex technical challenges while being hands on with code and contributing to design.

• Own delivery and outcomes for the Assistant roadmap, making and executing hard sequencing decisions for agent capabilities (e.g., memory, preferences, merchant data).

• Set and uphold a high bar for reliability, correctness, and UX in non-deterministic, agentic systems operating in real-world financial workflows.

• Partner closely with Product, Design, and adjacent engineering teams (Spend, Expense, Platform) to shape direction and integrate deeply with core Brex workflows.

• Establish strong team norms and execution standards, balancing velocity with validation, quality control, and operational excellence.

Requirements:

• Proven experience leading engineering teams building user-facing products in complex, real-world domains.

• Strong product judgment, with a track record of making hard tradeoffs and delivering outcomes under real constraints.

• Experience building and operating systems that must remain reliable despite messy inputs, ambiguity, or non-deterministic behavior.

• Ability to translate high-level product goals into clear technical direction and execution plans, while mentoring engineers through strong technical and product guidance.

Bonus points:

• Development experience with Typescript while leading consumer-facing AI products, especially in regulated or high-stakes domains (finance, healthcare, travel).

• Direct experience with conversational UX, agents, or other non-deterministic systems in production.

• Prior experience as a tech lead for agentic systems, particularly in spend or financial workflows.

• Personal empathy for spend-heavy workflows (frequent travel, recruiting, managing expenses on behalf of a company).

Compensation: The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

This role will define how global finance teams manage corporate spend data, maintain financial accuracy, integrate with their existing systems, and handle compliance,eliminating hundreds of hours of manual work each month.

You will own the product experience for accountants, controllers, and finance teams who use Jeeves to manage corporate spend across 20+ countries.

This requires deep knowledge of accounting principles (GAAP/IFRS), how finance organisations operate, multi-jurisdiction compliance requirements, and the financial workflows that matter most to our customers.

You will combine accounting expertise with product management craft,using your understanding of how finance teams work to identify high-impact problems, translate complex requirements into elegant product solutions, and leverage AI to transform manual processes into automated workflows that accountants trust.

Because our customers operate across LatAm, the US, and Europe,with diverse organisational structures, cross-border operations, and varying regulatory requirements,we strongly prefer candidates based in Mexico, Colombia, or Brazil who understand these regional nuances.

Location: This role is based out of Bogotá, Colombia, and is a full-time remote position where it is also possible to come into our office in the Parque de la 93 area on a flexible schedule.

Accounting Domain Expertise:

• Own the accounting user experience end-to-end: Design products that accountants, controllers, and finance teams use daily to manage spend data, maintain financial accuracy, and ensure compliance.

• Deeply understand accounting workflows: How finance teams process transactions, manage data flows, ensure accuracy, and meet regulatory requirements.

• Navigate multi-jurisdiction complexity: Design for customers operating across different countries, each with unique regulatory frameworks, compliance requirements, and business practices.

• Champion data accuracy and audit-ability: Every feature you build must maintain proper audit trails, ensure data integrity, and support compliance requirements.

AI-Powered Automation:

• Identify high-impact automation opportunities: Find where finance teams lose hours to repetitive, manual work, and determine where AI can transform workflows.

• Balance AI capabilities with accounting precision: Understand when AI-powered automation is appropriate vs. when deterministic rules are required.

• Prototype and validate AI solutions: Personally test AI-powered approaches to validate whether they actually work before committing engineering resources.

• Ship AI features that accountants trust: Build transparency into AI decisions, enable easy overrides, and maintain human-in-the-loop workflows where precision matters.

System Integration & Data Architecture:

• Own the integration strategy: Define how Jeeves connects with ERP systems, accounting software, and other platforms that finance teams rely on.

• Design for flexibility and configuration: Build systems that adapt to different customer setups, organisational structures, and business requirements.

• Ensure data integrity end-to-end: Every transaction must reconcile.

Customer Discovery & Requirements Gathering:

• Be the expert on customer needs: Conduct regular interviews with controllers, accountants, finance managers, and CFOs to understand pain points in their current workflows.

• Partner with customer finance teams: Shadow their processes, understand their requirements, and learn the nuances of how they work.

• Convert pain into product vision: Transform qualitative feedback and workflow observations into clear product opportunities.

Data Analysis & Insight Generation:

• Track adoption and impact metrics: Measure how customers use the product, where they struggle, and what drives value.

• Analyze workflow data: Identify patterns in customer behaviour, common pain points, and opportunities for improvement.

• Build business cases: Quantify the ROI of product investments,hours saved for customers, error reduction, improved workflows, and business impact.

Strategy & Vision:

• Define the product roadmap: Build a clear point of view on where the market is heading, how customer needs are evolving, and how Jeeves can stay ahead of the curve.

XML job scraping automation by YubHub

You will own the product experience for accountants, controllers, and finance teams who use Jeeves to manage corporate spend across 20+ countries. This requires deep knowledge of accounting principles (GAAP/IFRS), how finance organizations operate, multi-jurisdiction compliance requirements, and the financial workflows that matter most to our customers.

You will combine accounting expertise with product management craft,using your understanding of how finance teams work to identify high-impact problems, translate complex requirements into elegant product solutions, and leverage AI to transform manual processes into automated workflows that accountants trust.

Because our customers operate across LatAm, the US, and Europe,with diverse organizational structures, cross-border operations, and varying regulatory requirements,we strongly prefer candidates based in Mexico, Colombia, or Brazil who understand these regional nuances.

Location: This role is based out of Mexico City, Mexico, and is a full-time remote position where it is also possible to come into our office in Roma Norte on a flexible schedule.

Accounting Domain Expertise:

• Own the accounting user experience end-to-end: Design products that accountants, controllers, and finance teams use daily to manage spend data, maintain financial accuracy, and ensure compliance.
• Deeply understand accounting workflows: How finance teams process transactions, manage data flows, ensure accuracy, and meet regulatory requirements.
• Navigate multi-jurisdiction complexity: Design for customers operating across different countries, each with unique regulatory frameworks, compliance requirements, and business practices.
• Champion data accuracy and audit-ability: Every feature you build must maintain proper audit trails, ensure data integrity, and support compliance requirements.

AI-Powered Automation:

• Identify high-impact automation opportunities: Find where finance teams lose hours to repetitive, manual work, and determine where AI can transform workflows.
• Balance AI capabilities with accounting precision: Understand when AI-powered automation is appropriate vs. when deterministic rules are required.
• Prototype and validate AI solutions: Personally test AI-powered approaches to validate whether they actually work before committing engineering resources.
• Ship AI features that accountants trust: Build transparency into AI decisions, enable easy overrides, and maintain human-in-the-loop workflows where precision matters.

System Integration & Data Architecture:

• Own the integration strategy: Define how Jeeves connects with ERP systems, accounting software, and other platforms that finance teams rely on.
• Design for flexibility and configuration: Build systems that adapt to different customer setups, organizational structures, and business requirements.
• Ensure data integrity end-to-end: Every transaction must reconcile.

Customer Discovery & Requirements Gathering:

• Be the expert on customer needs: Conduct regular interviews with controllers, accountants, finance managers, and CFOs to understand pain points in their current workflows.
• Partner with customer finance teams: Shadow their processes, understand their requirements, and learn the nuances of how they work.
• Convert pain into product vision: Transform qualitative feedback and workflow observations into clear product opportunities.

Data Analysis & Insight Generation:

• Track adoption and impact metrics: Measure how customers use the product, where they struggle, and what drives value.
• Analyze workflow data: Identify patterns in customer behavior, common pain points, and opportunities for improvement.
• Build business cases: Quantify the ROI of product investments,hours saved for customers, error reduction, improved workflows, and business impact.

Strategy & Vision:

• Define the product roadmap: Build a clear point of view on where the market is heading, how customer needs are evolving, and how Jeeves can lead the way.

XML job scraping automation by YubHub

As a Financial Data Analyst, you will be responsible for pulling, analysing, and structuring financial data from various sources to generate actionable insights. Over time, this role will evolve from report generation to building automation and integrations between Belong's management system and accounting system.

This role is ideal for someone who loves working with data, has a strong analytical mindset, and enjoys solving problems through data engineering and automation. You don't just pull reports,you understand the story behind the numbers and can translate raw data into meaningful business insights.

In this role, you will:

• Extract and consolidate financial data from sources like BigQuery, RDS, Excel, Google Sheets, and other internal systems.
• Build actionable reports and dashboards in Looker, Metabase, Google Sheets, and Excel.
• Develop and maintain SQL queries to efficiently retrieve financial data.
• Analyse financial metrics, including revenue categorisation, cohort analysis, and gross profit calculations.
• Identify trends, anomalies, and insights to support strategic decision-making.
• Automate data retrieval processes and reporting workflows over time.
• Build and improve integrations between Belong's management and accounting systems.
• Partner with Finance & Accounting to enhance financial reporting and reconciliation processes.
• Provide ad hoc financial analysis and data support for forecasting and planning.

XML job scraping automation by YubHub