As the Product Manager for this 0 to 1 area, you'll build and own the platform that makes this all possible. You'll create APIs that let developers programmatically import media, run AI-powered edits, and export content. In essence, turning Descript's already powerful editing capabilities into infrastructure that media businesses can depend on.

Responsibilities

• Own the API and developer experience that lets teams create content workflows at scale
• Launch integrations that unlock new use cases: MCP wrappers, no-code workflow platforms, and strategic partner integrations
• Work closely with our Agentic AI team to influence what editing capabilities we build and how they're exposed through the API
• Define and grow this business line by shaping positioning, pricing, and go-to-market strategy with Sales and Marketing teams

Requirements

• You’ve shipped technical products before: You have 5 or more years of product management experience shipping internal APIs, developer platforms, and foundational systems that enable other teams
• You build things from scratch: Building a brand new product means venturing into the unknown, and you find that energizing rather than scary. You've taken products from 0 to 1, figured out ambiguous problem spaces, and created the playbook to make it successful.
• You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems.
• You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time.

The base salary range for this role is $171,000 - $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

In this role, you will:

• Design, build, and maintain integrations connecting ERP systems with downstream applications, including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.

• Support integration development and testing during the ERP implementation projects.

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.

• Implement real-time and batch integration patterns supporting high-volume financial transactions.

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.

• Document integration architectures, data flows, API specifications, and troubleshooting procedures.

• Collaborate with implementation consulting partners and vendors on technical integration requirements.

Additional scope includes AI automation and data infrastructure, including AI agent development, data pipeline support, governance, and collaboration.

You may be a good fit if you have 8+ years of experience in integration development, data engineering, or systems engineering roles, possess hands-on experience with iPaaS platforms, and have strong programming skills in Python and/or JavaScript/TypeScript.

Strong candidates may also have experience with high-growth technology companies, background in AI/ML companies, and hands-on experience with specific platforms, including Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management, and programming skills in Python/JavaScript.

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

Responsibilities

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions

• Support integration development and testing during the ERP implementation projects

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication

• Implement real-time and batch integration patterns supporting high-volume financial transactions

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity

• Document integration architectures, data flows, API specifications, and troubleshooting procedures

• Collaborate with implementation consulting partners and vendors on technical integration requirements

Additional Scope: AI Automation & Data Infrastructure

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting

• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes

• Create automated validation and quality assurance processes for AI-generated outputs

• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation

• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting

• Implement data quality checks and testing frameworks for financial data pipelines

• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring

• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines

• Support internal and external audits with technical evidence and system access reviews

• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests

• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions

Requirements

• 8+ years of experience in integration development, data engineering, or systems engineering roles

• Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools

• Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts

• Experience with data pipeline tools including Airflow for orchestration and dbt for transformation

• Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks

• Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures

• Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes

• Strong problem-solving skills with ability to debug complex integration issues across multiple systems

• Excellent communication skills to collaborate with technical and business stakeholders

Preferred Qualifications

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)

• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing

• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)

• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management

• Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts

• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)

• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration

• Professional certifications such as Workato, Workday integrations, or relevant technical credentials

• Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field

• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

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We are seeking a PE Applications Engineer with strong expertise across Workday, Workday Extend, custom application development, and AI-enabled solutions supporting the employee lifecycle. This role requires solid techno-functional capability combined with hands-on engineering experience to design and deliver solutions that extend beyond standard configurations. You will build scalable applications and data-driven enhancements that strengthen and evolve EA’s HR technology ecosystem while supporting global business needs.

In this role, you will apply deep functional and technical knowledge across multiple Workday areas — including Core HR, Time Off, Performance, Talent, and related modules — partnering with business and technical stakeholders to understand requirements and deliver high-quality solutions. You will contribute to solution design, integration development, and platform enhancements within established architectural standards.

Success in this role requires staying current with Workday’s evolving roadmap, identifying opportunities to leverage new capabilities, and contributing to improvements in automation, scalability, and user experience across the HR technology stack.

Main Responsibilities

• Act as an HR Technology SME spanning Workday, custom-developed applications, and AI-enabled solutions, delivering both functional insight and technical leadership to HR and cross-functional stakeholders.
• Deliver advanced configuration across Workday HCM modules with a hands-on approach, including Talent Acquisition, Onboarding, Offboarding, Performance & Talent, Time Off, and Compensation & Rewards.
• Design, prototype, and deploy custom applications using Workday Extend and related technologies to enhance and optimize the HR technology stack.
• Support and promote DevOps best practices for HR technology solutions, including applications and integrations, by contributing to CI/CD automation, release management, environment stability, and operational excellence in partnership with EAIT platform and security teams.
• Apply strong understanding of HR systems and data models to ensure data accuracy, integrity, and compliance across modules and integrations.
• Lead the design, configuration, and deployment of new features, enhancements, and system improvements within defined architectural standards.
• Evaluate functional specifications and change requests, translating requirements into scalable, sustainable, and high-quality technical solutions.
• Identify opportunities to streamline processes and improve delivery efficiency across the HR technology ecosystem.
• Support system upgrades, testing cycles, validation efforts, and overall performance optimization to ensure platform reliability.
• Provide guidance during issue resolution, partnering with stakeholders to troubleshoot root causes and implement effective solutions.

Skills

• 5–8 years of experience managing and supporting HR systems in global enterprise environments.
• 3+ years of hands-on experience configuring and developing solutions within HR SaaS platforms (preferably Workday).
• Strong knowledge of Workday Extend and Workday integrations, including EIB, Studio, Orchestrate, Core Connectors, PECI, APIs, and related integration frameworks.
• Demonstrated ability to analyze business requirements, solve complex problems, and drive process improvements across HR systems.
• Experience partnering with cross-functional stakeholders, contributing to project delivery, and implementing complex technical solutions.
• Solid understanding of Workday security, domains, business objects, integrations, and foundational architectural principles.
• Growth mindset with a commitment to continuously learning and applying new technologies and platform capabilities.
• Hands-on experience with full-stack web development supporting modern, web-based enterprise solutions.
• Proven ability to independently deliver complex initiatives within defined architectural standards and with minimal day-to-day oversight.
• Experience evaluating, supporting, or implementing Generative AI use cases within an HR or enterprise technology ecosystem.
• Ability to think strategically about solution design while executing tactically to deliver measurable, high-quality outcomes.
• Experience designing, building, or supporting integrations across platforms using APIs and middleware technologies.
• Good to have working knowledge of relational and non-relational databases, including the ability to write and debug SQL queries (e.g., MS SQL Server, Snowflake).
• Good to have familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Bachelor’s Degree in Information Technology, Computer Science, or a related field (or equivalent practical experience).

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