Lead customer engagement and the design of a new financial ledger and lending backend as a Senior Product Owner with banking and lending expertise and an engineering background.
Compensation
Competitive compensation based on experience
Payment in U.S. dollars
Responsibilities
Be the day-to-day product contact for the customer: run workshops, gather requirements and manage expectations.
Own the backlog as Product Owner: write user stories and acceptance criteria, prioritize by value and risk, and accept delivered work.
Define and document the ledger and the lending backend, from origination to payoff, including business rules for interest, fees, payments and delinquency, with engineering and the customer's finance and operations teams.
Write requirements, data models, API specs and process flows that engineers can build from, and weigh architecture trade-offs with them.
Plan data migration and support user acceptance testing (UAT) with the customer.
The intern will support the development and improvement of Fleet Housekeeping operational reporting and information-management processes.
Locations (3)
Doral, Florida, United States
Fort Lauderdale, Florida, United States
Seattle, Washington, United States
Compensation
Base Hourly Range: $25 to $30. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely.
Responsibilities
Develop and maintain social media content calendars
Collect, organize, and analyze operational information from housekeeping programs and reporting processes
Assist with the development and maintenance of Power BI dashboards, reports, and data visualizations
Perform data-quality reviews to identify missing, inconsistent, duplicate, or incorrectly formatted information
T
Member of Technical Staff, Full Stack
True Talent Solutions Partners · Posted Nov 13, 2026
Build backend systems for agent evaluation and continuous improvement, design data models, own enterprise integrations, and deliver features from design to deployment while working with customers.
Compensation
Base salary: $180,000 to $200,000 annually. Visa sponsorship is available.
Responsibilities
Build backend systems for agent evaluation and continuous improvement
Design and evolve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria
Own enterprise integrations from authentication and data synchronization through retries, monitoring, and production support
Take features from technical design and implementation through deployment, monitoring, customer feedback, and iteration
Work with customers to diagnose issues and turn their needs into reusable product capabilities
Requirements
Bachelor's degree in computer science or a related field
Build product experiences for agent investigation, evaluation workflows, trajectory debugging, verification, and replay, owning problems end to end and developing APIs, data models, and internal systems for large-scale investigations.
Compensation
Base salary: $230,000 to $300,000 annually. Visa sponsorship is available.
Responsibilities
Build product experiences for agent investigation, evaluation workflows, trajectory debugging, verification, and replay
Own problems end to end, from understanding customer needs and defining solutions to implementation and iteration
Develop APIs, data models, internal systems, and user-facing product surfaces, with an emphasis on backend engineering
Build systems that support large-scale investigations across production traces
Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer workflows
Translate the lifecycle model into workflows that are repeatable, enforced in tooling, and inspectable at any moment.
Build and maintain the Sales to Launch handoff, our highest leverage control point, so that blueprint quality is validated and scope is locked before launch begins.
Embed stage gates so that progression requires objective validation, and formalize handoffs as contracts where the required outputs of one stage become the mandatory inputs to the next.
Run our CS tech stack day to day, including Salesforce, Vitally, analytics tooling, and the integrations that connect them, keeping it coherent as the business scales.
Translate business needs into precise technical requirements to improve data pipelines, automate workflows, and strengthen reporting capability.
Own new platforms that define who owns what, and who is owed what, across one of the largest music catalogs in the world, using modern, AI-enabled platforms to replace legacy royalty and accounting processes.
Responsibilities
Own the roadmap, both tactical and strategic, for your area.
Partner with engineering, UX design, finance, accounting, legal, business affairs, and label operations stakeholders to turn complex contractual rules into clear, scalable software.
Build new products that capture and maintain ownership splits, territorial rights, terms, and more at a global scale, and then use these contractual terms to automate financial tracking and artist payouts.
Develop a deep understanding of users across business affairs, copyright administration, A&R, and finance, then design tools that remove manual work from their day.
Define and track KPIs around rights (e.g. data accuracy, completeness) and royalties (e.g. time-to-pay, calculation accuracy).
Requirements
Nice to have: Rights or royalty systems at a label, publisher, collecting society, or DSP
Nice to have: Interfacing with ERP systems like SAP or Oracle
Nice to have: Building master data or source-of-truth platforms
Build complete user experiences across the full stack: the Flutter app kids touch, the backend that powers it, and the AI systems behind it, taking a contained project from rough idea to a playable product.
Locations (2)
San Francisco, California, United States
Nairobi, Nairobi County, Kenya
Responsibilities
Own projects and features end to end, from concept to playtest to release
Build full-stack user experiences that span the Flutter app, backend services and APIs, and the AI systems behind them
Bring Ello's characters and learning activities to life, from the AI behavior and data that power them to the interaction details that make a child feel seen
Partner with learning designers, activity creators, artists, and PMs, and keep them aligned on scope, tradeoffs, and progress
Build the backend and AI layers behind your features: Python services and APIs, LLM prompts and agent behavior, and integrations with speech and language models
Design, develop, test, and maintain scalable data pipelines and data products on the Databricks platform, build and optimize Databricks SQL endpoints, support machine learning solutions, advise clients on implementation approaches, and implement end-to-end Databricks solutions across cloud platforms.
Compensation
For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is $88,800 to $148,000.
Responsibilities
Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks platform
Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools
Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Databricks Data Engineer Associate certification
Nice to have: Databricks Data Engineer Professional certification
Nice to have: Databricks Data Analyst Associate certification
Own integrations end to end, from a partner’s API to the screens customers use to connect and configure them, helping build the new Integrations pod.
Compensation
In line with Ontario’s Pay Transparency legislation, the salary range for this role is $150,000 – $175,000 CAD annually, based on experience, skills, and alignment with the role requirements.
Responsibilities
Own integrations from design through launch and ongoing production health, partnering with Product, QA, and the other Portal engineering teams.
Work with Product and partners to clarify requirements, resolve gaps in API documentation, agree on scope, and deliver against committed dates.
Build backend services, data models, APIs, background jobs, and customer-facing interfaces for connecting and configuring integrations.
Design data mapping, synchronization, retries, and reconciliation within established platform patterns, documenting key decisions in architecture decision records.
Build syncs, webhooks, and scheduled jobs that handle rate limits, duplicate events, partial failures, and partner outages without creating unnecessary manual cleanup.
Own and drive the end-to-end execution of back‑office products that keep loans running after they close, including servicing, payments, and vendor integrations.
Compensation
Base Compensation Range: $114,400 - $160,000/yr
25% annual bonus target, paid quarterly
Company equity in the form of RSUs
Responsibilities
Own the back office: drive products that move real money and real loans, such as borrower payments, bank account verification, appraisals and inspections, and the data feeds our capital and servicing partners depend on
Execute end‑to‑end: take projects from early conception through design, development, launch, and post‑launch measurement
Find where automation and AI can take manual work off our operations teams, and where a simpler software fix is the better answer
Collaborate with a dedicated engineering team, driving requirements and engineering prioritization
Manage multiple products in different phases of their lifecycle in parallel, from new integrations to keep‑the‑lights‑on improvements
Requirements
Technical degree (CS, EE, and so on) or equivalent work experience in a product development‑driven environment
Nice to have: experience with loan servicing systems
Nice to have: payment rails (ACH and wire)
Nice to have: bank APIs
Nice to have: vendor integrations
Skills
Support process-improvement and automation initiatives using Power Automate, SharePoint, Microsoft Forms, Excel, and other Microsoft 365 tools
Requirements
Undergraduate or graduate student pursuing a degree in Hospitality Management
Undergraduate or graduate student pursuing a degree in Tourism Management
Undergraduate or graduate student pursuing a degree in Business Analytics / Intelligence
Undergraduate or graduate student pursuing a degree in Project Management
Undergraduate or graduate student pursuing a degree in Business Administration
Housekeeping Operations and Analytics InternNewCarnival Corporation · Doral, US+2 more
Lead, Customer OperationsNewSpare · Vancouver, Canada
Senior Product Manager, Rights & Royalties ModernizationNewWarner Music Inc. · Toronto, Canada
Product EngineerNewEllo · San Francisco, US+1 more
Databricks Engineering ConsultantNewDeloitte · Austin, US
Senior Full-Stack Software Engineer, IntegrationsNewCardata · Remote, Canada
Product ManagerNewFigure Lending · San Francisco, US