Join a team at an AI company as a hands-on technical advisor for enterprise customers. You will own complex customer issues from investigation through resolution, contribute to production incident response, and help improve the support function.
Responsibilities
Own enterprise customer technical issues from initial contact through resolution
Lead video calls with senior customer stakeholders, including strategy discussions and incident de-escalations
Analyze SQL queries, cloud logs, JSON payloads, and source code to identify root causes
Investigate, reproduce, and resolve incidents involving web applications, REST APIs, webhooks, microservices, and databases
Use generative AI and agentic coding tools to automate triage, analyze logs, and develop self-service knowledge resources
Build and run Jump's measurement offer: our own media mix model, monthly readouts and incrementality tests that show clients which ads really drive sales and where to move budget next.
Compensation
$250K base + 10 to 20% annual bonus
Responsibilities
Build Jump's measurement model across clients' digital channels
Design the monthly readout for CMO/CFO action
Build the quarterly budget plan
Design and run incrementality tests
Build scenario planning
Requirements
Master's or PhD in statistics, economics, data science or another quantitative field
The Pricing Strategy Manager – Fintech will play a key role in shaping RealPage’s pricing and monetization strategy across its Fintech products and services.
Compensation
Pay Range USD $106,900.00 - USD $181,900.00 /Yr.
Responsibilities
Own Fintech pricing and monetization strategy and analytics, evaluating pricing performance across products, customer segments, channels, and transaction types and translating complex financial and customer data into actionable, executive-ready recommendations.
Design and optimize pricing models for Fintech products and new capabilities, including transaction-based pricing, fees, subscriptions, packaging, discount structures, and other monetization approaches; assess customer value, willingness to pay, competitive positioning, and launch economics.
Lead transaction economics and profitability analysis, evaluating interchange, processing and funding costs, credit and risk economics, operational costs, transaction volumes, and contribution margins to ensure pricing decisions appropriately balance growth, customer value, and profitability.
Identify and develop pricing optimization opportunities across the existing Fintech portfolio, using customer segmentation, profitability, transaction behavior, price realization, elasticity, and commercial performance to recommend changes to pricing, packaging, and monetization structures.
Build Fintech competitive and market pricing intelligence, monitoring competitor pricing and business models, market trends, customer behavior, and relevant regulatory developments and translating external insights into implications for RealPage’s Fintech pricing strategy.
Embed with client teams to map data, decompose processes, and define and prioritize agentic use cases, architecting and building solutions from scoping through production and handoff.
Compensation
Pay Range USD $129,400.00 - USD $220,400.00 /Yr.
Responsibilities
Embed with client teams
Map their data, decompose their processes, and define and prioritize the use cases worth building
Translate priorities into agentic solutions that create value for the business
Architect and build agent workflows, tool and data integrations, evaluation harnesses, and the plumbing connecting it to Cherre's platform
Own delivery end to end from scoping through production and handoff
This role keeps today's critical services running while helping build the cloud native, automated, multi-cloud platform that replaces legacy services. The focus shifts toward platform engineering and project delivery as the platform matures.
Compensation
The estimated base compensation range for this position is $78,000 to $98,000 per year.
Responsibilities
Maintain cloud infrastructure as code using Terraform and Bicep across Azure and GCP
Support CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure and application deployments
Manage containerized workloads on AKS, GKE, and Azure Container Apps
Support and provide design feedback for solutions with scalability, resilience, and multi-cloud portability in mind
Build AI agents and automation that handle routine operations, alert triage, and remediation
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Data Engineer 4 role focused on building and pioneering in the technology space, solving complex business problems, and driving a major transformation across Capital One by marrying data with emerging technologies.
Locations (4)
McLean, Virginia, United States
New York, New York, United States
Richmond, Virginia, United States
Wilmington, Delaware, United States
Compensation
McLean, VA: $197,300 - $225,100 for Data Engineer 4
New York, NY: $215,200 - $245,600 for Data Engineer 4
Richmond, VA: $179,400 - $204,700 for Data Engineer 4
Wilmington, DE: $179,400 - $204,700 for Data Engineer 4
Responsibilities
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Seeking a self-driven and motivated professional to join the Assembly and Test Operations Industrial Engineering team focused in managing Assembly at onsemi Cebu.
Responsibilities
Analyze short-, medium-, and long-term capacity requirements based on demand forecasts, business growth projections, and customer requirements.
Develop, maintain, and continuously improve capacity planning models to ensure accurate assessment of manufacturing capabilities and resource utilization.
Prepare and present Supply Review reports to corporate leadership, highlighting risks, constraints, and recommended actions.
Assess and recommend strategic capital expenditure (CapEx) required to support future capacity needs and business growth.
Perform periodic analysis of equipment capacity, manpower requirements, and resource loading to identify bottlenecks and opportunities for optimization.
Senior Consultant specialized in Identity Governance & Administration (IGA) and SailPoint IdentityIQ (IIQ) to design, implement, and evolve identity governance and administration solutions in transformation projects.
Responsibilities
Design and implement IGA solutions on SailPoint IdentityIQ, translating functional and security requirements into technical configurations and developments.
Automate Joiner, Mover & Leaver processes, access requests, approvals, provisioning, and deprovisioning using workflows, rules, forms, and Java/BeanShell/XML logic in IdentityIQ.
Integrate corporate applications and systems with IdentityIQ via connectors and web services, configuring aggregations, account/identity correlation, data transformations, and provisioning using SQL.
Implement and evolve identity and access governance controls, including certifications, recertifications, RBAC, role models, and Segregation of Duties (SoD) controls.
Requirements
Nice to have: SailPoint IdentityIQ certification
Nice to have: SailPoint IdentityIQ version upgrade experience
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
Requirements
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Senior Enterprise Support EngineerNewClera-AI · Remote, US
Data AnalystNewBold Games · Istanbul, Turkey
Pricing Strategy Manager - FintechNewRealPage, Inc. · Richardson, US
Systems AdministratorNewThe RMR Group · Orlando, US
Senior Industrial EngineerNewonsemi · Lapu-Lapu City, Philippines