Jobs at Taller

Lead functional design and configuration of Workday Financial modules, translate finance requirements into Workday solutions, build business process configurations and reports, support UAT/testing and deployments, provide post-go-live support, and partner with finance stakeholders on process improvements and compliance.

Client-facing senior marketing consultant supporting end-to-end campaign planning, execution, analytics, reporting, and optimization. Coordinates clients, vendors, and internal teams; develops presentations and actionable recommendations; defines campaign goals, audiences, channels, and measurement approaches; oversees assets, deployment, quality assurance, KPI monitoring, A/B testing, and performance improvements.

Supports client-facing strategy and transformation engagements through structured business and market analysis, quantitative modeling, and actionable recommendations. Develops client-ready PowerPoint presentations, facilitates client meetings and workshops, manages project workstreams, validates assumptions with stakeholders, and identifies commercial opportunities. Requires strong problem-solving, storytelling, presentation, Excel, PowerPoint, and English communication skills.

Leads client-facing strategy and transformation workstreams from analysis through executive recommendations. Responsibilities include stakeholder workshops, quantitative and qualitative analysis, executive presentations, project planning, risk and opportunity identification, and cross-functional solution development. The role also mentors junior consultants, manages client relationships, and drives outcomes independently in complex environments.

Lead end-to-end strategy and transformation consulting engagements, manage senior client relationships, develop strategic recommendations, oversee multiple workstreams, mentor consulting teams, manage delivery risks, support proposals and account growth, and present executive-level findings to C-level stakeholders.

Leads client-facing analytics and experimentation engagements, designing controlled experiments and measurement strategies, overseeing execution and validation, and translating quantitative findings into executive recommendations. Manages stakeholders, aligns analytical work with business goals, ensures timely, high-quality deliverables, and mentors consulting teams to strengthen experimentation capabilities.

Designs and analyzes business experiments, validates data, measures impact, and translates findings into actionable recommendations. The consultant collaborates with stakeholders to define objectives and success metrics, creates visualizations and client-facing presentations, and communicates complex results through clear data storytelling. Responsibilities include ongoing monitoring, reporting, and strategic business analysis using SQL and advanced Excel.

Leads business analysis for a talent marketplace platform, translating stakeholder objectives into requirements, user journeys, acceptance criteria, backlog items, data validation, and integration specifications. Coordinates with product, engineering, legal, compliance, QA, analytics, sales, recruiters, and go-to-market teams. Supports UAT, defines lead-generation and conversion tracking, manages ATS and recruiter notification requirements, and contributes to staffing, rollout, and platform maintenance planning.

Develops supervised machine learning and statistical models using Python, PySpark, and Databricks to solve business problems. Translates business requirements into modeling solutions, validates and tunes models, produces actionable outputs, and documents project artifacts. Collaborates with stakeholders, integrates work into Agile workflows using Azure ADO or similar tools, and communicates results in English and Spanish.

Designs, builds, and supports scalable enterprise data pipelines, models, frameworks, and platform tooling using Databricks, Spark, Python, SQL, and Azure. Leads technical design reviews, optimizes distributed workloads, implements CI/CD and infrastructure automation, improves governance and reliability, performs incident root-cause analysis, mentors engineers, and collaborates on long-term data strategies supporting analytics and machine learning.

Build and scale the Spark web platform across React and TypeScript frontends, Node.js backend services, APIs, integrations, and PostgreSQL data systems. Contribute to Azure AKS microservices deployment, architecture, and operational decisions. Integrate HubSpot, Bullhorn ATS, and Microsoft Entra, while using AI-assisted development tools. Work autonomously on a remote team and deliver clean, testable, maintainable, well-documented code.

Build and maintain automated UI, API, integration, functional, regression, load, and performance testing frameworks for card-related systems. Develop C#/.NET test scenarios, validate REST migrations from SOAP/WCF, test authentication and authorization flows, and verify OpenAPI contracts, adapters, file interfaces, and data integrity. Integrate automation with CI/CD pipelines and containerized cloud environments. Support observability, code reviews, shift-left testing, TDD, debugging, and mentoring across engineering and QA teams.

Design, deploy, and operate production Kubernetes clusters; build Python automation; integrate Prometheus monitoring and Ceph storage; migrate services to cloud-native patterns on AWS/Azure; troubleshoot distributed systems; document runbooks; collaborate across teams and participate in on-call incident response.

Senior AWS data engineer responsible for designing and operating AWS-based data pipelines and storage, integrating AWS systems with Snowflake, and implementing Snowflake AI components. Own data mart, data warehouse, and data lake design; develop data models and end-to-end process flows; produce initial architecture drafts for review; collaborate with architects and stakeholders; and deliver senior-level data engineering solutions for handoff to operations.

Design and build full‑stack solutions integrating Dynamics 365 with the Power Platform and Azure services. Develop CI/CD pipelines, custom connectors, reusable components, and secure backend services. Implement integrations and agentic AI workflows using Azure OpenAI, Data Factory, Logic Apps, and ensure ALM and security best practices.

Work across the full stack on a SaaS product: design schemas and APIs, implement UIs, write tests (unit/integration/E2E), participate in reviews, coach juniors, respond to incidents, and use agentic AI tooling to accelerate delivery.

Senior individual-contributor tech lead who delivers full-stack product features end-to-end, sets engineering direction and code-quality standards, mentors teammates, and builds AI-first agentic engineering frameworks (automated test generation, AI-assisted code review, agentic runbooks). Works cross-functionally with product and QA, participates in architecture decisions, and operates independently on delivery and on-call.

Design, build, and maintain scalable data pipelines and models using Databricks/Spark. Lead technical design, optimize distributed workloads, champion CI/CD and IaC, drive reliability and remediation, mentor engineers, and support analytics and ML use cases.