Principal Product Manager (Agentic Platform)

🏢 Summary: Senior hands-on Staff Data Engineer role focused on owning and scaling a centralized Databricks lakehouse platform, building production-grade data pipelines, and leading multi-terabyte legacy migrations. The position combines architectural decision-making, data modeling, and technical leadership to support multiple financial product lines. The engineer acts as the primary onshore technical authority ensuring platform reliability, governance, and scalability. 🗂️ Requirements: 5+ years of data engineering experience, Strong proficiency in SQL, Python, and PySpark, Hands-on experience with Databricks (Delta Lake, Workflows, Databricks SQL), Experience building and maintaining large-scale ETL/ELT pipelines, Proven ability to design scalable data models, Experience migrating multi-terabyte datasets, AWS experience (S3, IAM, VPC), Infrastructure-as-code experience (Terraform preferred), Knowledge of data governance, lineage, and access controls, Ability to make independent architectural decisions, Experience mentoring data engineers, US-based with timezone overlap for stakeholder collaboration 📃 Skills: SQL, Python, PySpark, Databricks, Delta, Lake, Workflows, DatabricksSQL, UnityCatalog, AWS, S3, IAM, VPC, Terraform, ETL, ELT, DataModeling, Governance 🏢 Description: Exactera has offices in New York City, Tarrytown NY, San Diego, CA, London, and Argentina. The Role As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer, and drive architectural judgment and independent problem-solving as platform complexity scales post-migration. This is a hands-on data engineering role focused on building and maintaining production pipelines, exercising architectural judgment on data modeling and pipeline design, and serving as the onshore escalation point and institutional knowledge backup for platform decisions. The Business Challenge We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. As the platform matures, the data engineering team needs senior onshore technical presence to drive architecture ownership and maintain platform quality. What You'll Build Production Data Pipelines: Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale. Data Modeling & Architecture: Exercise architectural judgment on data modeling, pipeline design, and platform usage—translating complex business requirements into scalable data solutions across our product portfolio. Stakeholder Engagement: Engage proactively with product and engineering stakeholders to translate requirements into data solutions, serving as the primary onshore technical point of contact for data engineering needs. Platform Quality: Drive platform quality through code reviews, testing practices, and engineering standards that ensure the team delivers reliable, maintainable data infrastructure. Knowledge & Continuity: Serve as onshore escalation point and institutional knowledge backup for platform decisions, reducing single-point-of-failure risk and building onshore technical depth as the platform scales. Business Problems You'll Solve Multi-Product Data Delivery: Implement data pipelines that serve multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning) with distinct data requirements, ensuring each product gets the data it needs reliably and on schedule. Legacy Migration Execution: Lead pipeline implementation for migrating multi-terabyte datasets from legacy systems to Databricks, working within the architecture defined by the Lead Data Platform Engineer. Onshore Technical Leadership: Provide the senior judgment layer the current nearshore team cannot—owning problems end-to-end, making independent architectural decisions, and mentoring engineers to raise the quality bar across the team. Cross-Team Coordination: Bridge the gap between product teams and data infrastructure, translating business requirements into data solutions and ensuring the data platform delivers on product commitments. Required Experience Core Data Engineering SQL, Python, and PySpark—production pipeline implementation and performance optimization Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation Strong data modeling skills across structured and semi-structured data sources Platform & Infrastructure AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions Infrastructure-as-code experience (Terraform preferred) Familiarity with data governance patterns (Unity Catalog, data lineage, access controls) Technical Leadership Demonstrated ability to exercise independent architectural judgment—not just ticket execution Experience mentoring or guiding junior and mid-level data engineers Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement Preferred But Not Required Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms Background building pipelines that serve AI/ML workloads (preparing data for downstream ML consumption, RAG, and LLMs) Familiarity with data governance frameworks and compliance requirements for regulated industries Experience working alongside or transitioning from nearshore engineering teams What We Offer (The following only applies to US-based positions) A collaborative team culture with opportunities for career development. Ample opportunities to be recognized, build valuable skills, and grow your career. Generous vacation policy, including paid parental leave. Comprehensive health plans with FSA and HSA options. 401(k) retirement plan. Life and disability insurance coverage. Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. We are committed to diversity, inclusion, and equal opportunities for all. What We Offer:(The following only applies to US-based positions) A collaborative team culture with opportunities for career development. Ample opportunities to be recognized, build valuable skills, and grow your career. Generous vacation policy, including paid parental leave. Comprehensive health plans with FSA and HSA options. 401(k) retirement plan. Life and disability insurance coverage. Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us: At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. With over $100 million in funding from Savant Venture Fund and Insight Partners, we are poised for growth. We are committed to diversity, inclusion, and equal opportunities for all.

🏢 Summary: Principal Data Platform Engineer role focused on architecting and implementing a centralized Databricks lakehouse platform, including governance, ETL frameworks, and large-scale data migration. The position centers on building scalable, cost-efficient, and well-governed data infrastructure across multiple product lines. It involves leading multi-terabyte legacy migrations and establishing robust platform operations for analytics and AI workloads. 🗂️ Requirements: 5-8 years in data engineering or data platform roles, 3+ years hands-on experience with Databricks, Production experience with Unity Catalog and multi-catalog governance, Expert experience with Delta Lake optimization at multi-TB scale, Strong hands-on experience with Delta Live Tables, Experience with Databricks Workflows for orchestration and monitoring, Strong proficiency in PySpark and Databricks SQL, Experience designing unified schemas across disparate data sources, AWS experience including S3, IAM, VPC, Infrastructure-as-code experience (Terraform preferred), Experience leading at least one significant platform build or migration project, Ability to architect data platforms and document technical decisions 📃 Skills: Databricks, UnityCatalog, DeltaLake, DeltaLiveTables, PySpark, DatabricksSQL, AWS, S3, IAM, VPC, Terraform, SQL, ETL, Z-ordering, Compaction, Clustering 🏢 Description: Exactera has offices in New York City, Tarrytown NY, San Diego, CA, London, and Argentina. The Role As Principal Data Platform Engineer, you'll architect and implement our centralized data platform on Databricks. You'll establish governance patterns using Unity Catalog, optimize for cost and performance at scale, and enable our existing Data Engineers to build confidently on the platform. This is a data infrastructure role—focused on pipelines, storage, governance, and platform operations. The Business Challenge We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. What You'll Build Data Structuring: Design data models and implement unified schemas across multiple disparate product lines. Unity Catalog Architecture: Design and implement multi-catalog governance strategy supporting data isolation, cross-product data sharing, and comprehensive lineage tracking across our product portfolio Delta Lake Optimization: Establish patterns for Z-ordering, compaction, and liquid clustering at multi-TB scale. Define table structures, partitioning strategies, and retention policies that balance query performance with storage costs ETL Pipeline Framework: Build declarative pipeline patterns using Delta Live Tables. Create orchestration workflows for ingesting data from internal sources such as SQL databases and S3 Third Party Integrations: Integrate with third party data sources such as ERP systems (Netsuite etc.) and external data providers (S&P etc.) with automated ingest, robust error handling and monitoring. Platform Operations: Implement cost monitoring and optimization strategies, establish data quality frameworks, create self-service patterns enabling Data Engineers to work independently while maintaining governance standards Business Problems You'll Solve Key Legacy Product Migrations: Lead the architecture for migrating multi-terabyte datasets from legacy systems to Databricks—establishing patterns that will be reused across multiple product lines Multi-Product Data Architecture: Design Unity Catalog structures enabling secure data separation between product lines while allowing controlled cross-product analytics where appropriate Cost-Efficient Scale: Build infrastructure that scales efficiently—through intelligent caching, query optimization, and compute management strategies that avoid linear cost growth Platform Reliability: Establish monitoring, alerting, and data quality validation ensuring the platform operates reliably as foundation for both analytics and AI workloads Required Experience Databricks Expertise (Required) Unity Catalog: Production experience with multi-catalog governance, metastore design, and lineage tracking. Data Structuring: Experience designing and building unified schemas across multiple disparate product lines. Delta Lake: Expert-level experience with Z-ordering, compaction, liquid clustering, and performance tuning at multi-TB scale Delta Live Tables: Strong hands-on experience building declarative ETL pipelines, including change data capture and expectations/constraints Databricks Workflows: Experience with job orchestration, scheduling, and operational monitoring Business Intelligence: Experience enabling company-wide analytics and reporting with modern business intelligence tools and maintaining source of truth data and metrics. PySpark & Databricks SQL: Strong proficiency for code review, performance tuning, and query optimization Core Platform Engineering 5-8 years in data engineering or data platform roles, with 3+ years hands-on Databricks experience Track record leading at least one significant platform build or migration project AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions Infrastructure-as-code experience (Terraform preferred) Technical Leadership Demonstrated ability architecting data platforms from first principles and defending technical decisions Strong written and verbal communication— document architecture decisions and present to both technical and business stakeholders Preferred But Not Required Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms Background building platforms that serve AI/ML workloads (experience preparing data for downstream ML consumption, RAG and retrieval, and LLMs. Understand advanced intelligence concepts such as relationship surfacing with knowledge graphs Familiarity with data governance frameworks and compliance requirements for regulated industries What We Offer:(The following only applies to US-based positions) A collaborative team culture with opportunities for career development. Ample opportunities to be recognized, build valuable skills, and grow your career. Generous vacation policy, including paid parental leave. Comprehensive health plans with FSA and HSA options. 401(k) retirement plan. Life and disability insurance coverage. Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us: At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. With over $100 million in funding from Savant Venture Fund and Insight Partners, we are poised for growth. We are committed to diversity, inclusion, and equal opportunities for all.

🏢 Summary: Product Manager role focused on defining and delivering an enterprise AI platform that powers agent-based, context-aware experiences across a SaaS product suite. Responsible for AI platform strategy, agent orchestration, architecture decisions, governance, and enabling AI capabilities across multiple applications. The role combines platform engineering, applied AI, and cross-functional leadership to scale secure, enterprise-grade AI solutions. 🗂️ Requirements: 5+ years product management experience in enterprise SaaS or platform companies, Minimum 2 years experience with AI/ML platforms or foundational infrastructure products, Experience building AI/ML platforms including LLM orchestration and agent frameworks, Strong knowledge of platform architecture, API design, and distributed systems, Experience with event-driven systems and real-time communication protocols, Experience shipping AI features with enterprise security, audit, and permission controls, Ability to define governance models and platform abstractions, Bachelor's degree in Computer Science, Engineering, or related field 📃 Skills: AI, ML, LLM, APIs, WebSocket, LangChain, LangGraph, AWS, Bedrock, AgentCore, MCP, SaaS, Architecture, Orchestration, DistributedSystems, EventDriven, Cloud, Security, Audit, Infrastructure 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suite. Your work will directly shape how enterprise customers interact with AI agents that transform subscription management, billing operations, and revenue intelligence. This role sits at the intersection of platform engineering, applied AI, and product design. You'll partner closely with engineering to build the infrastructure that connects AI agents to applications, manages conversation state and memory, and provides the tools layer that lets agents take meaningful action. Your decisions will determine how AI capabilities scale across Zuora's ecosystem while maintaining enterprise-grade security, auditability, and user control. A critical dimension of this role is cross-organizational leadership. You will interface with application product teams across the entire Zuora suite—Billing, Revenue, Payments, CPQ, and Platform—to enable their AI capabilities and experiences. You'll collaborate across the Product Management organization to ensure a unified, coherent end-to-end user experience. Success requires building strong relationships, establishing shared standards and patterns, and balancing platform consistency with the flexibility teams need to deliver differentiated AI experiences for their domains. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. What You'll Do Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs. Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio. Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities. Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities. Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations. Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms. Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement. Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity. Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation. About You 5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences Bachelor's degree in Computer Science, Engineering, or related technical field Nice to Haves Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar) Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP) Experience with real-time communication protocols and event-driven architectures Track record of building platforms that serve both internal product teams and external developers Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$146,500—$201,450 USD

🏢 Summary: Staff Data Analyst role focused on building and leading advanced analytics strategy to drive customer insights, predictive modeling, and AI-enabled decision-making. The position involves designing semantic data models, co-creating scalable data pipelines, and delivering high-impact dashboards and command center solutions. You will leverage cloud and big data technologies to enable data-driven strategy across cross-functional teams. 🗂️ Requirements: BS in Computer Science, MIS or related technical degree, 7+ years experience in Data Analyst, Data Engineer or BI Developer role, Advanced SQL proficiency, Experience building reports and dashboards in Tableau or similar tools, Experience with ETL processes and data pipeline development, Programming experience in Python and Java, Experience working with Databricks and Snowflake, Experience with predictive modeling and advanced analytics, Ability to design data models and semantic layers, Experience collaborating with Engineering on scalable data solutions 📃 Skills: SQL, Python, Java, Databricks, Snowflake, Tableau, ETL, AI, ML, NLP, BI, DataModeling, PredictiveModeling, Cloud, Telemetry 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Data & Insights Team Okta’s Enterprise Data & Insights team empowers data-driven decision making across the company by delivering trusted analytics, insights, and tools. We partner closely with teams such as Marketing, Sales, Finance, Product, and Customer First to unlock business value through data strategy, scalable solutions, and impactful storytelling. The Staff Data Analyst Opportunity We are looking for a Staff Data Analyst who has a passion for driving decisions and insights through data to join the Enterprise Data & Insights team. You will be successful if you are detail-oriented, analytical, like solving big problems, connecting dots, understanding business challenges and determining options to solve using data, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What you’ll be doing Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy. Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents. Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals. Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding. Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution. Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks. Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality. Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement. What you’ll bring to the role BS in CS, MIS, related technical degree 7+ years experience as a Data Analyst/Data Engineer/BI Developer Advanced SQL experience Excellent communication skills, both written and verbal, ability to work with all levels of the organization Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Advanced analytics, data science, AI/ML experience and techniques are a plus Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake Excellent time management and prioritization skills What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. #LI-HM2 #LI-Hybrid P24716_3407508The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $152,000—$190,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$136,000—$170,000 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior Director, Data Platform and Engineering role leading a global data and analytics engineering team to build and scale a secure, AI-enabled data platform. Responsible for owning the end-to-end data lifecycle, strengthening governance and security, and delivering scalable data foundations that power AI/ML initiatives. Combines hands-on technical leadership with strategic oversight to ensure high-quality, trusted data across the organization. 🗂️ Requirements: 10+ years experience in data platform and data engineering, 5+ years in data engineering leadership role, Experience building data foundations for AI and ML initiatives, Deep knowledge of modern data stacks and data warehousing, Hands-on experience with ETL/ELT pipelines and data modeling, Proficiency in Python and SQL, Experience with cloud data platforms (AWS, GCP, or Azure), Experience implementing data governance and security controls, Experience supporting regulatory compliance (e.g., FedRamp), Proven experience leading and scaling data engineering teams 📃 Skills: Python, SQL, AWS, GCP, Azure, ETL, ELT, AI, ML, Tableau, FedRamp, Datawarehousing, Datamodeling, Governance 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Opportunity Okta is seeking a visionary and results-driven Senior Director, Data Platform and Engineering to lead a global data and analytic engineering team ensuring our data assets are leveraged to their full potential. Reporting to the VP of Data and Insights this role requires a leader who is as comfortable with a technical deep dive as they are with a strategic business discussion. You will be a "player-coach" who can build and mentor a world-class team while personally driving strategic initiatives and ensuring the integrity of our data foundation. A core part of your responsibility will be to champion and enable our AI strategy and technical foundations, ensuring that clean, trusted, and well-governed data is the foundation for all AI initiatives. With the growth of AI in our Products and our business, Okta’s data is more critical to our success than ever. This role will make sure we continue to support the organization run and grow, while building out the platform for the future. Candidates should be energized by that challenge. What You'll Do Lead and Inspire a High-Performing Team: Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning. Champion AI Enablement: Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models. Advance the Data Foundation: Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization. Enhance Data Security and Governance: Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies. Partner Cross-Functionally: Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development. What You Bring Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role. AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives. Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure). Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred. Cross-Functional Collaboration: Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences. Team Development: A track record of successfully hiring, mentoring, and leading high-performing data teams. Problem-Solving: A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach. #LI-MC1 #LI-Hybrid #P14112_3419375The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $276,000—$379,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$246,000—$338,800 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior Product Analyst responsible for owning and enhancing the Workday Expense module, providing day-to-day support and leading configuration, testing, and continuous improvements across Workday Finance. The role partners with stakeholders to deliver scalable, well-tested solutions and drive process optimization. It combines hands-on system configuration with reporting, integrations, and release management. 🗂️ Requirements: 5+ years Workday Product Analyst experience, 3+ years hands-on Workday Expense configuration and support, Expertise in Workday Expense configuration, Experience with Business Process Configuration, Experience with Security Administration, Experience with EIBs, Strong testing experience (unit, regression, UAT), Experience supporting Workday releases and upgrades, Experience building custom reports and dashboards in Workday, Experience with integrations and enhancement projects, Experience with Agile methodologies, Experience with ServiceNow, Experience with Jira 📃 Skills: Workday, Expense, BusinessProcessConfiguration, SecurityAdministration, EIB, Reporting, Dashboards, Integrations, UAT, RegressionTesting, Agile, ServiceNow, Jira, WorkdayStudio, WorkdayExtend, HCM, OracleFusion, SAP 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence TeamOkta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Senior Product Analyst - Workday Expense OpportunityReporting to the Director of Finance Technology, this role will serve as the Workday subject matter expert for the Expense module and help drive day-to-day support and long-term enhancements across Workday Finance. You will lead configuration and continuous improvement, partner with stakeholders to solve pain points, and ensure scalable, accurate, and well-tested solutions as Workday evolves. What you’ll be doing Serve as the Workday SME for the Expense module, providing day-to-day support, troubleshooting, and resolving issues Configure and maintain Workday Expense, including business processes, security, data flows, and administrative tasks Lead design, testing, and deployment of Expense solutions using Workday best practices Partner with business stakeholders and COEs to gather requirements, improve processes, and drive adoption Build and maintain reports and dashboards to support domestic and international finance operations Support Workday releases and upgrades by evaluating new functionality, coordinating testing, and implementing enhancements Create and maintain clear end-to-end business requirements and provide functional design leadership Deliver hands-on training and contribute to internal enablement across cross-functional teams What you’ll bring to the role 5+ years of Workday Product Analyst experience with 3+ years of hands-on Workday Expense configuration and support Deep expertise in Workday Expense configuration, including Business Process Configuration, Security Administration, and EIBs Proven functional knowledge of the Expense module, including delivered functionality and report utilization Strong testing experience across unit, regression, UAT, and pre-launch validation for new features and enhancements Experience balancing day-to-day system support with longer-term enhancement projects and related integrations Hands-on experience building and optimizing custom reports and dashboards in Workday or similar SaaS/enterprise platforms Strong analytical, communication, and stakeholder management skills in fast-paced, cross-functional environments Experience using Agile workflows and tools such as ServiceNow and Jira And extra credit if you have experience in any of the following! Workday Studio, Workday Extend, and developing custom integrations Workday HCM experience (understanding of worker/org data and cross-module impacts) Experience customizing Workday Expense functionality and expanding into platforms such as Oracle Fusion Cloud or SAP Track record of driving automation and process optimization through workflow enhancements and reporting insights #Ll-MC1 #Hybrid #PID6607-3341168The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $128,000—$176,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$114,000—$157,300 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior-level role responsible for leading the end-to-end product lifecycle and optimization of Workday Payroll, including integrations, configuration, and global deployment. The position focuses on designing scalable payroll solutions, managing integrations, and driving automation, compliance, and operational efficiency. It combines deep Workday technical expertise with product strategy and stakeholder collaboration. 🗂️ Requirements: 7+ years of Workday Payroll configuration and integration experience, Extensive knowledge of Workday Payroll objects (GL, Paycodes, Taxes), Experience designing and implementing Workday integrations (PECI, PICOF, Studio), Strong experience with REST and SOAP APIs, Proficiency in XML, XSLT, and JSON, Experience building Workday reports and dashboards, Experience working in Agile environment, Ability to manage full product lifecycle for payroll systems, Experience troubleshooting complex system and integration issues 📃 Skills: Workday, Payroll, PECI, PICOF, Studio, REST, SOAP, XML, XSLT, JSON, APIs, Reporting, Dashboards, Agile, ADP, Extend, TimeTracking, Absence 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Product Analyst (Workday Payroll) Opportunity Okta is seeking a Staff Product Analyst (Workday Payroll) to join our People Technology Team. This is a pivotal role dedicated to the product-led optimization of Okta's global Workday platform. Beyond standard configuration, you will lead the end-to-end lifecycle of our payroll systems from strategic discovery and design to global deployment and adoption. You will act as a consultant and architect to our stakeholders in People, Payroll, IT, and Finance teams, ensuring our People Technology suite is a driver of automation and efficiency. If you are passionate about transforming the employee experience through innovative technical products, you'll fit right in. What you’ll be doing Product Strategy and Roadmap: Collaborate on the product vision and multi-year roadmap for Workday Payroll, ensuring alignment with global People Technology and Finance team's objectives. Stakeholder Partnership: Act as a strategic partner to People, Payroll, and Finance leadership to translate complex business needs into scalable product requirements and technical specifications. End-to-End Solution Design: Lead the design and implementation of high-impact integration solutions (using PECI, PICOF, and Studio) that prioritize user experience and operational efficiency. Lifecycle Management: Manage the full product lifecycle for payroll integrations, from initial discovery and requirements gathering to deployment, maintenance, and sunsetting. Data-Driven Insights: Leverage Workday reporting and analytics to monitor system performance, identify trends, and provide actionable recommendations for payroll process optimization. Vendor and Platform Management: Oversee technical relationships with third-party vendors (e.g., ADP) to ensure seamless data flows and adherence to service level agreements. Operational Excellence: Champion continuous improvement by analyzing integration failures and proposing design changes that enhance system reliability and minimize manual intervention. Feature Adoption and Training: Drive end-user adoption of new Workday features and integrations through the development of comprehensive documentation, user guides, and training programs. Compliance and Security: Ensure all payroll products strictly adhere to global data privacy requirements and internal security standards. What you’ll bring to the role Payroll Domain Knowledge: Extensive understanding of Workday Payroll objects (GL, Paycodes, Taxes) and global HR business processes. Workday Expertise: 7+ years of experience in Workday Payroll configurations and integrations. Technical Proficiency: Strong command of REST/SOAP APIs, XML, XSLT, and JSON to guide the development of automated business logic. Analytical Skills: Advanced capability in building custom reports, dashboards, and hubs to drive data-informed decision-making. Strategic Communication: Excellent interpersonal skills with the ability to influence stakeholders and collaborate effectively across global time zones. Problem Solving: Superior ability to troubleshoot complex system issues and design scalable solutions in a fast-paced environment. Agile Methodology: Experience working in an Agile environment, managing backlogs, and delivering value through iterative cycles. And extra credit if you have experience in any of the following! Knowledge in other Workday modules such as Extend, Time Tracking and Absence is a plus. Workday Certifications in Payroll or Absence or Time Tracking. #LI-MC1 #LI-Hybrid #P24726_3412897The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $148,000—$203,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$132,000—$181,500 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Leadership role responsible for scaling and modernizing a cloud-native credit platform, overseeing multiple engineering teams building resilient, high-availability distributed systems. The position drives architectural decisions, engineering standards, and operational excellence in a regulated fintech environment. Focused on delivering secure, scalable credit products through strong technical and execution leadership. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years leading engineering managers or multiple teams, Experience building and scaling distributed systems, Experience with cloud-native environments (AWS preferred), Strong background in microservices architectures, Experience with high availability systems, Experience in regulated or compliance-sensitive environments 📃 Skills: AWS, Microservices, DistributedSystems, CloudNative, HighAvailability, SystemDesign, Architecture, Fintech, Credit, Compliance 🏢 Description: Marqeta is looking for a Director, Software Engineering to lead and evolve our Credit platform. This is a critical leadership role responsible for scaling the next generation of innovative credit products that power modern fintech experiences. You will lead multiple engineering teams responsible for building, operating, and modernizing core components of our credit platform. This role requires a leader who sets a high bar, moves with urgency, and brings clarity in complex environments. You will partner closely with Product, Data, Risk, Compliance, and Operations to define strategy, drive execution, and deliver resilient, secure, and highly available systems at scale. We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here. The Impact You’ll Have Lead and develop multiple engineering teams responsible for core credit capabilities. Drive platform resiliency, scalability, and operational excellence. Partner with Product to shape roadmap, sequencing, and delivery strategy. Establish clear engineering standards around quality, reliability, testing, and documentation. Improve execution rigor including planning, sprint hygiene, and measurable outcomes. Lead architectural discussions and make high quality technical decisions. Stay close to the codebase and system design while empowering teams to execute. Recruit and develop top engineering talent and actively build bench strength. Create a culture of ownership, accountability, and continuous improvement. Who You Are 10+ years of engineering experience with 5+ years leading engineering managers or multiple teams. Experience building and scaling distributed systems in cloud native environments, preferably AWS. Strong background in microservices architectures and high availability systems. Proven ability to operate in regulated or compliance sensitive environments. Experience in fintech strongly preferred; credit domain experience is a plus but not required. Demonstrated track record of raising engineering standards and improving execution discipline. Comfortable navigating ambiguity while driving clarity and momentum. High personal standards and a bias toward action. What Will Set You Apart Experience building or scaling credit products such as underwriting, ledgering, servicing, or transaction processing. Experience improving platform resiliency such as multi region architectures. Track record of evolving teams from good to great. Masters Degree in Computer Science. Your Manager Rahul Rana Recruiter For This Role Prashant Sharma Typical Process Application Submission Recruiter phone call Hiring manager video call Virtual “Onsite” consisting of 4-5, 45 min calls Offer! Compensation and Benefits Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to the National tier within the United States: National: A baseline tier that applies to most of the geographic territory of the United States. Visit this page or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: National: $242,400 - $303,000 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers Multiple health insurance options Flexible time off – take what you need Retirement savings program with company contribution and after tax contributions Equity in a publicly-traded company and an Employee Stock Purchase Program Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave Free therapy sessions, financial and professional coaching, and legal advice Monthly stipend to support our remote work model Annual “development dollars” to support our people growth and development Through Flex First, the freedom to live and work wherever you and your family thrive About Marqeta Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta’s Values – Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. – Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. – Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. – Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. – Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request. Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access