TrueML

• Build small to medium-sized infrastructure components using Terraform and AWS. • Ensure reliable build-and-deploy cycles by maintaining and debugging CI/CD workflows, including GitHub Actions and ArgoCD. • Learn to troubleshoot and resolve issues in containerized environments, including Kubernetes pods and EKS networking bottlenecks. • Leverage GenAI and AI code assistants to accelerate your onboarding and complete well-defined automation tasks. • Validate AI-generated code for correctness and style according to team standards. • Contribute to system reliability by participating in the on-call rotation and swiftly responding to system alerts. • Utilize logging and observability tools (Datadog, Observe) to efficiently gather information during troubleshooting. • Own the quality of your work by testing and documenting your code, ensuring bug fixes are implemented reliably across all environments (dev, staging, production). • Engage actively in team ceremonies, including sprint planning and daily standups. • Clearly communicate project status and implementation details to the broader team. • Partner with senior engineers to understand and maximize the business and customer impact of your work.

• Own the end-to-end product strategy and roadmap for our Consumer Payments products, aligning cutting-edge AI capabilities with TrueML’s mission to help distressed borrowers. • Collaborate with our Data Science team to design ML models that intelligently present the right offer at the right time, maximizing conversion while prioritizing consumer wellness. • Partner with global vendors (e.g., Stripe, Plaid) to eliminate transaction friction, expand payment options, and strategically manage processing costs. • Lead the development of a robust balance-ledger service and intuitive user interfaces that allow consumers to track history and manage obligations with total confidence. • Identify and quantify new B2B opportunities, partnering with Sales and Marketing to bring high-impact payment solutions to market with a stellar GTM strategy. • Establish and monitor the KPIs that matter, using a mix of user research and quantitative analysis to iterate rapidly in an Agile environment.

• Own the Root Cause: Lead the "detective work" required to diagnose performance shifts. • Drive Decisive Strategy: Design and execute sophisticated A/B and multivariate tests tied directly to recovery. • Influence the Product Roadmap: Identify technical gaps or logic errors impacting performance. • Empower Client Success: Arm Client Managers with sharp, defensible recommendations. • Foster Cross-Functional Accountability: Act as the "source of truth" for the organization. • Scale Through Frameworks: Build repeatable diagnostic frameworks and Looker dashboards. • Navigate Without Authority: Influence outcomes across teams where you may not have formal authority.

• Serve as the primary business partner for a dedicated portfolio, building deep trust with stakeholders. • Monitor and interpret omnichannel performance data to improve engagement and liquidation rates. • Align client goals with TrueAccord’s capabilities, identifying expansion opportunities. • Build and maintain client-facing dashboards, proactively flagging performance trends. • Act as the first line of defense for operational issues, collaborating with teams to resolve hurdles. • Lead new clients through the integration process, acting as a subject matter expert.

• Define and execute the long-term strategic vision for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs. • Lead the design and implementation of self-service internal platforms to reduce developer cognitive load, enabling feature teams to deploy and manage services with minimal friction at increased velocity. • Act as the primary stakeholder for cloud spend (AWS); drive cost-optimization initiatives and lead contract negotiations for the DevOps toolstack and third-party vendors. • Ensure the infrastructure architecture supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols, maintaining system integrity across multiple regions. • Oversee the implementation and evolution of comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance. • Champion security by design by integrating automated vulnerability scanning, secret management, and compliance checks directly into the automated build pipelines. • Serve as the ultimate escalation point for major production outages, facilitating blameless post-mortem reviews that focus on systemic improvements rather than individual error. • Maintain deep technical currency in container orchestration (Kubernetes), serverless patterns, and modern automation frameworks to provide meaningful mentorship and architectural guidance to senior engineering staff.

• Building Data LakeHouse: In the Senior Data Engineer II role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications. • Pipeline and Transformation: Integrate with diverse source systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures. • Data Modeling: Analyze business requirements and profile source data to design, develop, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications. • Data Infrastructure: Develop and manage a scalable AWS cloud infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across all environments, adhering to best practices and company standards. • Monitoring and Maintenance: Monitor data workloads for performance and errors, troubleshooting issues to maintain high levels of data quality, freshness, and adherence to defined SLAs. • Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the evolution of our data platform, focusing on delivering solutions that empower data users and satisfy stakeholder needs throughout the organization.

• Design and implement a scalable, maintainable test automation framework. • Evaluate and integrate emerging technologies, specifically focusing on Agentic AI-powered solutions and GenAI. • Partner with Development and Product teams to ensure testability is considered at the architectural level. • Act as a hands-on mentor, conducting 1:1s, leading code reviews for automation scripts, and fostering professional growth. • From functional and regression to performance and security testing, ensure CI/CD pipelines are robust. • Analyze test results and system architectures to provide stakeholders with clear quality metrics and actionable data.

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. Summary/Responsibilities: The Consumer Payment Portal team's mission is to create intelligent solutions for customers to easily pay down financial obligations. As an Engineering Manager, you'll lead and technically guide a team of engineers focused on developing and extending our payments platform infrastructure for safe, secure, and consistent financial transactions. You'll collaborate with payment processing partners to identify new workflows, offering consumers more options like alternative payment methods or flexible scheduling. This role also involves working closely with UX, Design, and Experimentation teams to build a seamless front-end web experience, enabling easy payments and account management. The Engineering Manager defines and executes the product roadmap, mentors the team, and participates in a 24/7 on-call rotation. Essential Duties and Responsibilities: - Lead and manage a team of engineers to deliver high-quality software products. - Work closely with product managers, designers, and other stakeholders to define and execute on the product roadmap. - Mentor and develop team members. - Conduct regular 1:1s with team members to provide feedback, coaching, and development opportunities. - Drive progress based on individual strengths and weaknesses. - Lead with empathy and foster a positive and supportive team environment. - Responsible for recruiting, leading, developing, and growing the engineering team. - Work with the team to identify and solve technical challenges. - Ensure that the team is following best practices for software development. - Keep up-to-date on the latest technology trends. - Work with other Engineering Managers to ensure that the team is well-coordinated and aligned with the overall company goals. - Participate in the 24/7 on-call rotation, providing timely response and resolution to production issues. Qualifications: - Bachelor’s degree in Computer Science or related field or equivalent work experience - 7+ years of experience in software engineering. - 4+ years of experience managing others. - Strong technical skills and experience in one or more programming languages. - Experience working with Agile development methodologies. - Excellent communication, interpersonal, and leadership skills. - Passionate about building high-quality software products. - Ability to work independently and as part of a team. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.

• Lead, manage, and mentor a group of data engineers • Own the design and development of data pipelines and systems • Advocate for data quality by implementing controls and SLAs • Partner cross-functionally with Data Science and Product managers • Perform high-impact code reviews • Contribute directly to development work and troubleshooting • Ensure data is reliable and easily accessible for stakeholders

• Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production. • Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them. • Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making. • Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architectures, ensuring our data platform remains robust and future-proof. • Ensure System Health: Lead the monitoring and observability strategy for all production models, ensuring reliability and performance through proactive maintenance. • Shape Technical Strategy: Act as a key stakeholder in architectural decisions, helping the broader team define the strategy for our data products and event-driven architectures.