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Research Analyst - Corporate (Law Firm Library)

Research & Knowledge Management Services

Debevoise & Plimpton LLP is a premier law firm with market-leading practices, a global perspective and strong New York roots. Our clients look to us to bring a distinctively high degree of quality, intensity and creativity to resolve legal challenges effectively and cost efficiently. We believe in hiring talented and dedicated individuals as members of our administrative community. We draw on the strength of our culture and structure to deliver the best of our Firm to our lawyers and clients through true collaboration.

We are seeking a savvy and dynamic Research Analyst - Corporate, to join our highly collaborative Research & Knowledge Management team. This role is an exciting opportunity to contribute to a premier global law firm by providing high-level litigation and business research support to attorneys, legal assistants, and Business Development professionals across practice groups. The ideal candidate will possess a deep understanding of transactional research tools, a proactive mindset, and the ability to thrive in a fast-paced, high-performance environment.

The role follows a hybrid work model, blending in-person collaboration with remote flexibility in accordance with firm guidelines.

Responsibilities include but are not limited to:

• Provide high-quality, customized corporate, transactional, and business research services to attorneys, legal assistants, and the Business Development team in support of client matters and firm initiatives.
• Conduct in-depth SEC filings, securities laws, and corporate precedent research to support sophisticated transactional and business matters.
• Serve as the research liaison for the M&A practice group, including Healthcare M&A, Insurance, and other practice areas as designated by the Research Manager.
• Apply strong analytical judgment to identify, evaluate, and synthesize information, delivering accurate and timely research tailored to attorney and client needs.
• Manage multiple assignments simultaneously, using effective planning and project management skills to meet demanding deadlines while operating within established budgetary parameters.
• Produce and disseminate curated current-awareness and competitive intelligence to support the information needs of the Firm's corporate practice groups.
• Maintain and enhance practice-specific intranet research pages, ensuring content is current, relevant, and accessible.
• Assist with general research tasks and projects as required.
• Assist with onboarding and research orientation sessions for new associates and Summer Programs.
• Participate in additional research projects and provide support to the department as required.

Requirements:

• Demonstrated expertise in corporate, transactional, and business research methodologies.
• Possesses a strong knowledge of transactional precedent research and SEC filings.
• Proficiency with a wide array of research databases and tools, including: Intelligize, Bloomberg Terminal, CIQ, Preqin, Factset, Refinitiv, PitchBook, Deal Point Data, Lexis+, Westlaw, VitalLaw, Practical Law, among others.
• Utilizes appropriate fee based and non-metered resources to provide excellent practice support in a timely and cost-effective manner.
• Strong attention to detail, intellectual curiosity, and a collaborative, client-service-oriented approach.
• Ability to work independently with minimal supervision while contributing to a team-oriented culture.
• . Excellent communication and project management skills.
• Minimum of 5 years of corporate/Transactional research experience at an AmLaw 50 firm or equivalent legal environment

Preferred Qualifications:

• Master's degree in Library & Information Science (M.L.S./M.L.I.S.) from an ALA-accredited institution and/or Juris Doctor (J.D.) degree.
• Knowledge of basic litigation, securities law, and tax research a plus.

TO APPLY:

A resume and cover letter are required to apply for this position. Please tell us where you saw this position posted and send required materials to:

Taria Yarborough

Human Resources

Sr. Human Resources Generalist

Debevoise & Plimpton LLP is an equal opportunity/affirmative action employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other legally protected category in accordance with U.S. law.

We are seeking a Senior Lead Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Key Responsibilities

• API & Backend Development: Design and maintain production-grade RESTful APIs using Python (FastAPI, Flask) with a focus on asynchronous processing.

• Database Engineering: Architect relational schemas and write optimized SQL in PostgreSQL, ensuring data integrity and query performance.

• React Integration: Partner with frontend teams to define API contracts, handle state-consistent data fetching, and implement secure authentication (JWT/OAuth2).

• CI/CD & Deployment: Build and manage automated deployment pipelines (e.g., Azure DevOps or Jenkins) to move code from local environments to staging and production.

• Containerization & Cloud: Package applications using Docker and manage deployments on cloud platforms or container orchestrators (Kubernetes/ECS).

• System Reliability: Implement automated testing (PyTest), logging, and monitoring to ensure high availability of integration services.

Technical Requirements

• Experience: 10+ years of professional backend development with a heavy emphasis on Python and API architecture.

• PostgreSQL Expert: Advanced SQL knowledge, including indexing strategies, migrations (Alembic/Flyway), and performance profiling.

• DevOps Tooling: Hands-on experience with Docker and building CI/CD pipelines for Python applications.

• Frontend Literacy: Solid understanding of React (Hooks, Context API) and how it consumes complex JSON structures.

• Infrastructure as Code (Bonus): Familiarity with Terraform or AWS CloudFormation is a significant plus.

The "Lead" Expectation

At the 10-year mark, we expect more than just "feature delivery." We are looking for a candidate who:

• Automates Everything: If a task is done twice, they write a script or a CI job for it.

• Designs for Failure: Implements proper error handling, retries, and health checks in the API layer.

• Collaborates Across the Stack: Can jump into a React component or a Postgres execution plan to find the root cause of a bottleneck.

Python AI Engineer (Prompt & Agentic Systems)

Location: Hybrid –Atlanta, GA (3 days a week onsite)

Client: Retail client

About the Role

We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.

Key Responsibilities

• Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
• Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
• Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
• RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
• Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
• API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
• MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
• Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
• Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.

Required Qualifications

• Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
• Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
• Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
• Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
• Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
• Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
• Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
• Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).

Nice to Have

• Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
• Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
• Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
• Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
• Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
• Front-end basics for AI UX (React/Next.js) or chat UI patterns.
• Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.

Essential Duties and Responsibilities

• Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.

• Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.

• Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.

• Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.

• Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.

• Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.

• Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.

• Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.

• Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.

• Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.

• Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.

• 7+ years of experience in software engineering.

• Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.

• Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.

• Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.

• Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).

• Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).

• Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.

• Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.

• Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.

• Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.

Bonus Qualifications

• Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.

• Experience with Azure and containerized deployments (or similar cloud-native environments).

• Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.

• Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).

The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Must be local to TX

Role Overview

• He’s ideally looking for someone with 13+ years of experience, strong architecture depth, and the ability to clearly explain designs.
• Must have experience using AI is used in day‑to‑day development.
• Must have experience as a API Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Job Summary

We are seeking a Principal-level Full Stack Lead Developer with 13+ years of experience to drive high-priority engineering workstreams. This role is for a technical heavyweight who can lead new projects in parallel with existing leadership while maintaining exceptional architecture depth. You will be responsible for the full lifecycle of high-performance FastAPI and React applications, ensuring they are resilient, observable, and scalable. We expect a leader who views AI development tools as a force multiplier for velocity and can clearly articulate complex design decisions to stakeholders.

Key Responsibilities

• Project Sovereignty: Independently lead and deliver new, complex workstreams from inception to launch, acting as a technical peer to existing leadership (e.g., Sai).
• System Architecture: Design and defend distributed microservices and event-driven architectures. You must be able to clearly whiteboard and communicate design patterns to both technical and non-technical audiences.
• Hands-on Execution: Maintain high-velocity output of clean, production-grade code using FastAPI (Python) and React (TypeScript).
• Platform Reliability: Architect and implement global Error Handling frameworks, centralized Logging (e.g., OpenTelemetry, ELK), and API Management strategies including Rate Limiting and versioning.
• Event-Driven Messaging: Oversee the implementation of asynchronous service communication using ActiveMQ or AWS EventBridge.
• AI-Augmented SDLC: Deeply integrate AI coding tools (e.g., CloudCode, Cursor, GitHub Copilot) into daily workflows to accelerate prototyping, refactoring, and automated testing.
• Engineering Mentorship: Foster a culture of excellence through rigorous code reviews and by unblocking senior engineers on complex technical hurdles.
• Product Collaboration: Work closely with Product Managers to turn high-level roadmaps into technical reality, providing accurate estimates and identifying technical risks early.

Required Skills & Qualifications

• Experience:13+ years of professional software development with a proven track record of leading large-scale products.
• Tech Stack Mastery: Expert-level FastAPI (Async Python) and modern React (Hooks, TypeScript, Performance Profiling).
• Advanced Governance: Hands-on experience with API Gateway patterns, request throttling, and securing distributed systems (OAuth2/JWT).
• Observability & Messaging: Deep knowledge of structured logging, distributed tracing, and message brokers (ActiveMQ or EventBridge).
• AI Tooling: Advanced proficiency in using AI tools for Fast Development to reduce manual overhead and multiply team output.
• Database & Infrastructure: Expert-level PostgreSQL (tuning/indexing), Redis (for caching/rate-limiting), and container orchestration (Kubernetes/Docker).
• Communication: Exceptional ability to translate technical "scars" and architectural risks into clear business impact.

Job Title: Embedded Validation Engineer

Location: Charlotte, NC

Job Type: Full-Time

Role Overview

We are seeking a technically strong Embedded Validation Engineer to serve as the Controls and Quality Assurance (QA) point of contact for lab validation and sustaining programs. The role focuses on requirements-based validation, disciplined test execution, defect reporting, and traceability across multiple product programs.

The ideal candidate will work closely with Systems Engineering, Product Development, and QA teams to validate embedded control systems, execute lab testing, and improve test automation and validation processes.

Key Responsibilities

Requirements-Based Validation

• Collaborate with Systems Engineering teams to derive validation strategies and test plans from system requirements.
• Develop and maintain requirement-to-test case traceability.
• Ensure validation activities align with product specifications and engineering requirements.

Lab Test Execution

• Serve as the Controls Validation Point of Contact (POC) for lab validation activities.
• Execute validation tests on prototype hardware and embedded control systems.
• Document test procedures and record pass/fail outcomes with technical accuracy.

Documentation & Traceability

• Maintain organized test documentation including test plans, execution logs, and validation reports.
• Ensure traceability between requirements, test cases, and defect reports.

Defect Reporting & Tracking

• Identify, document, and report defects with clear technical descriptions and reproducible steps.
• Collaborate with development teams to analyze root causes and track defect resolution.

Reporting & Quality Reviews

• Prepare concise 2–3 slide technical summaries of test results and validation findings.
• Present validation updates during PRQRB/SQA or departmental review meetings.

Test Bench & HIL Development

• Design and build test bench setups and Hardware-in-the-Loop (HIL) simulators for validation.
• Support legacy platforms and existing validation environments.

Automation Development

• Contribute to Python-based test automation and validation frameworks.
• Identify opportunities to improve test efficiency through automation.

Product Support & Continuous Improvement

• Support new product development, sustaining engineering, and validation process improvements.
• Drive enhancements in test infrastructure, lab workflows, and validation methodologies.

Required Qualifications

• Bachelor’s degree in Controls Engineering, Software Engineering, Electrical Engineering, or related field.
• 5+ years of experience in embedded systems validation, SQA, or controls testing.
• Strong understanding of Software Quality Assurance (SQA) fundamentals, including test execution and documentation.
• Experience validating embedded control systems and equipment controls.
• Hands-on experience with lab-based validation and prototype testing.
• Knowledge of controls inputs/outputs, sensors, and system interfaces.
• Experience with bench wiring, test setup, and instrumentation.
• Strong analytical skills and familiarity with engineering basics such as heat exchangers and unit conversions.
• Experience with Python scripting and test automation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Job Title: Senior Software Engineer

Reports To: Manager of Application Development

About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.

Responsibilities:

• Design, implement, test, and maintain scalable, secure, and reliable applications and services.
• Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
• Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
• Participate in architectural discussions and support incremental evolution of systems with team leads.
• Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
• Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
• Identify and mitigate technical risks in assigned systems and projects.
• Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
• Collaborate effectively with onshore and offshore teams to ensure successful project execution.
• Keep abreast of industry trends and new technologies to encourage innovation.
• Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
• Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
• Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
• Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
• Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.

Required Skills:

• Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
• Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
• Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
• Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
• Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
• Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
• API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
• DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
• Containerization: Experience with Docker and Kubernetes for application development and deployment.
• Security: Understanding of secure coding and application security best practices.

Preferred Skills:

• Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
• Strong problem-solving abilities and the capacity to make effective decisions under constraints.
• Leadership through mentoring and influencing technical direction.
• Adaptability to new technologies and changing environments.
• Critical thinking in evaluating options and making informed decisions.
• Effective time management across multiple projects.
• Empathy for team and stakeholder perspectives to foster collaboration.

JOOLA is seeking a Senior Demand Planner to play a critical role in driving forecast accuracy, optimizing inventory levels, and supporting scalable growth across our global business. This role will partner closely with cross-functional teams—including Product, Sourcing, and Sales—to align supply with demand in a fast-paced, high-growth environment.

The ideal candidate brings strong analytical capabilities, a proactive mindset, and the ability to translate market insights into actionable planning strategies.

Responsibilities:

1. Demand Forecasting & Analysis

• Develop and maintain SKU-subsidiary level demand forecasts in monthly increments, incorporating historical data, market trends, and subsidiary input.
• Validate forecasts with subsidiary leaders to ensure alignment with local market dynamics (e.g., regional promotions, cultural trends).

1. Cross-Functional Collaboration

• Partner with the sourcing team to translate demand plans into actionable production schedules and sourcing strategies.
• Work with the product development team on assortment planning, including phase-in/phase-out recommendations for SKUs.

1. Executive Reporting & Insights

• Prepare and present demand forecast insights to executives, highlighting trends, seasonal patterns, gaps, risks, and opportunities.
• Provide actionable recommendations to address forecast variances and capitalize on emerging market opportunities.

1. Process Optimization

• Identify and mitigate risks (e.g., supply chain disruptions, tariff changes) impacting demand plans.
• Implement tools and methodologies to improve forecast accuracy and operational efficiency.

1. Regional Market Expertise

• Monitor regional economic, cultural, and competitive factors influencing demand (e.g., holidays, regulatory changes).

Qualifications:

Education & Experience

• Bachelor’s degree in Supply Chain Management, Business, Statistics, or related field. Master’s degree or MBA preferred.
• 4+ years in demand planning, inventory management, or supply chain roles, preferably in multinational organizations.
• Experience in US and American markets, with knowledge of regional logistics, consumer behavior, and regulatory environments.

Technical Skills

• Proficiency in demand planning tools (e.g., SAP IBP, Oracle Demantra, Kinaxis) and ERP systems (e.g., SAP, Oracle).
• Advanced Excel skills (PowerQuery, pivot tables, macros) and data visualization tools (Power BI, Tableau).
• Strong understanding of statistical forecasting methods (e.g., moving averages, regression analysis).

Soft Skills

• Excellent communication skills to collaborate with global teams and present insights to executives.
• Analytical mindset with attention to detail.
• Fluency in English.

Preferred Qualifications

• APICS/IBF certification (e.g., CPIM, CSCP).
• Experience using Python libraries (e.g., Pandas, NumPy, statsmodels, scikit-learn, fbprophet) to build demand forecasting models
• Experience in consumer goods, retail, or manufacturing industries.

About JOOLA:

JOOLA was first established in 1952 and built a global reputation as a pioneer in table tennis. In 2022, JOOLA expanded into the rapidly growing pickleball scene and quickly attracted the biggest names in the sport. As an official table tennis sponsor for three Summer Olympic Games and the official sponsor of pickleball's top athletes and the Professional Pickleball Association (PPA), the team at JOOLA combines its storied expertise with fresh perspectives to bring innovation to both sports. JOOLA creates a variety of equipment, apparel, and accessories for both table tennis and pickleball players, professional and recreational. With offices in US, Germany, Brazil, and China, JOOLA has a global presence and wide distributor network.