Payroll Specialist, Senior

Role & Responsibilities

• Lead end-to-end APAC (India and Singapore) and EMEA (UK, Spain, France, and Italy) payrolls.

• Act as the primary SME for APAC payroll, advising stakeholders on regulatory requirements, tax implications, and best practices.

• Handle escalated employee payroll and tax inquiries in both APAC and EMEA with expert-level support.

• Maintain thorough and accurate documentation to ensure compliance with all relevant regulations and for audit readiness.

• Own payroll reconciliations and month-over-month variance analysis; lead monthly, quarterly, and annual statutory reporting across all active payroll countries.

• Ensure compliance with all Indian statutory requirements, including Provident Fund (PF), Employee State Insurance (ESI), Professional Tax (PT), Income Tax/TDS, Labour Welfare Fund, Gratuity, and other applicable regulations.

• Manage external payroll vendors against SLAs, holding partners accountable for accuracy and continuous improvement.

• Partner cross-functionally with HR and Finance across the employee lifecycle to ensure accuracy in new hires, terminations, compensation changes, and variable compensation payments.

• Collaborate with Accounting to reconcile payroll liabilities, resolve GL variances, and support accurate month-end and year-end close.

• Serve as primary contact for internal and external audits, leading documentation preparation, issue resolution, and remediation.

• Proactively identify and mitigate compliance risks across all active payroll countries.

Qualifications

• 5+ years processing payroll in a complex or multinational environment, with deep expertise in India payroll regulations, TDS filings, statutory compliance, and year-end processes.

• Advanced Excel skills, including complex reconciliations, pivot tables, and large dataset analysis.

• Strong knowledge of internal controls, audit practices, and payroll risk management.

• Ability to lead cross-functional initiatives and influence HR, Finance, and external partners.

• Strong written and verbal communication; fluency in English required.

• Bachelor's degree or equivalent experience.

• Experience with Workday payroll and HRIS integrations preferred.

Software Engineer III (Java + JavaScript + SQL)

TraceLink is seeking an experienced full time Software Engineer III to join our team to work on our Analytics products. If you’ve got a solid grasp of SQL, Java and Javascript and familiarity of cloud environments like AWS. If you’re highly motivated and looking for a chance to make a real contribution on a high profile project, you could be a good fit for our team.

The Software Engineer III - will be responsible for the design, development and maintenance of cutting edge cloud based Analytics applications, running in our sophisticated, Kubernetes (AWS EKS) hosted, RxJava/Vert.x cloud platform, the Digital Network Platform (OPUS).  All of this within the Life Sciences / Pharma supply chain domain.

Responsibilities:

• Proficiency in Data Structures and Algorithms.

• Develop Analytics solutions that will help clients optimize their supply chain operations and adhere to compliance regulations. 

• Work closely with Domain experts, Data scientists, Architects, Product managers and Product Engineers to design and implement Analytics products.

• As an individual contributor, you will be responsible for writing clean, high performance and scalable code across different frameworks and languages.

• Work in fast paced Agile teams and ability to quickly learn and adapt to new tools and technologies.

• Work with QA teams to align on test planning and help in test executions.

Candidates must possess the following skills and traits: 

• 4 to 6 years of experience with at least 1 year hands on experience with writing SQL queries.

• Expertise in Java & Javascript & SQL.

• Familiarity with AWS Cloud Data storage and processing services - S3, Glue, Athena, Redshift, RDS, Elastic Search, Kafka/Kinesis, SQS, SNS etc.

• Solid understanding of RESTful APIs, Microservices architecture, and containerization (Kubernetes).

• Strong understanding of event-driven architecture and asynchronous messaging

• Exposure to Javascript, GraphQL, Vert.x, Rx/Java would be preferred.

• Analytical thinking and collaborative mindset with excellent communication skills. 

• Experience working in an Agile environment with teams distributed across US and India

• Strong Computer Science fundamentals: Data Structures and Algorithms

Good to have:

• Knowledge and Experience building Agentic AI systems.

• Knowledge and Experience with Prompt/Context Engineering. 

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or or equivalent experience required.

Position Overview

The Supply Chain Orchestration Knowledge Expert is a domain and subject matter expert responsible for developing, structuring, and maintaining the messaging and positioning and subsequent knowledge artifacts that power TraceLink’s Agentic Orchestration Solutions (AOS) go-to-market execution, field team enablement campaigns, and AI-driven experiences for both the customer personas and TraceLink field teams.   

Each Supply Chain Orchestration Knowledge Expert serves as the global owner of a supply chain orchestration domain—such as Manufacturing, Commerce, Logistics, or Transportation—and builds the messaging and positioning frameworks, insights, and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining industry analysis, supply chain orchestration, product expertise with strategic storytelling, knowledge artifact creation, and curation for executive buyer experiences.

Responsibilities

Supply Chain Orchestration Domain Expertise

• Serve as TraceLink’s subject-matter expert for a specific supply chain orchestration supporting Product Marketing, Demand Gen, Content, Sales Enablement, and Sales

• Build a deep understanding of end-to-end processes, personas, pain points, business value, and the life sciences and healthcare supply chains ecosystem.

• Participate in select cross-functional teams and executive engagements as required.

Strategic Narratives, Messaging, and Positioning

• Develop strategic narratives, messaging, and positioning of TraceLink products and solutions targeting executive personas - specifically the CIO.

• Create and maintain competitive differentiation and positioning against alternative solutions.  

• Continuously monitor the effectiveness of messaging through routine engagement with field teams, customers, and prospects.

AI and LLM Buying Experiences

• Build and maintain an LLM-ready messaging framework with modular, metadata-tagged positioning and value narratives.

• Ensure taxonomy alignment and version control so messaging remains consistent, current, and easily ingested by the LLM.

• Curate and govern the product and industry knowledge corpus to deliver accurate, compliant, and authoritative model outputs.

• Design executive-ready LLM experiences using prompt patterns, scenarios, and value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

• Create and maintain a standard set of knowledge artifacts that inform and drive the executive interactions, field team enablement, and LLM-driven experiences, including but not limited to:

  • Domain Messaging & Positioning Playbook capturing value pillars, executive narratives, persona messaging, and competitive differentiation.

  • LLM-Ready Messaging Framework & Metadata Schema defining modular message objects, taxonomies, and canonical terminology for model ingestion.

  • Curated Knowledge Corpus Library, including process maps, capability descriptions, deal reviews, win stories, case studies, industry insights, and glossary of terms.

  • Executive Buyer Narrative Decks tailored for CIO, COO, and VP-level personas with business cases, ROI framing, and transformation stories.

  • Competitive Landscape & Differentiation Dossiers analyzing alternative solutions with scenario-based differentiation and objection-handling modules.

  • LLM Prompt Patterns, Conversation Flows, and Experience Blueprints enabling consistent, high-credibility internal and external AI-driven interactions.

  • Field Enablement Knowledge Packs providing talk tracks, use-case stories, objection handling, value frameworks, and LLM-powered microlearning assets.

Skills and Qualifications

• 3 - 5 years in a product management, product marketing, solution consulting, or analyst roles with a specific focus on life sciences manufacturing, logistics, and/or adjacent roles.

• Exceptional writing and presentation skills, especially for senior executive audiences.

• Ability to create clear, structured narratives from ambiguous or highly technical information.

• Experience producing content such as briefs, whitepapers, frameworks, or strategic analyses.

• Ability to develop insights, messaging, positioning, and competitive analyses that support commercial teams.

• Familiarity with large language models (LLMs), conversational AI, or retrieval-augmented systems.

• Experience in structuring and tagging content for AI/ML consumption is a plus.

• Ability to work cross-functionally with Product, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams.

Education: Bachelor’s degree or equivalent professional experience required.

Travel: Ability to travel up to 25-40% as required by business needs.

Overview

TraceLink is the world’s largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale.

As TraceLink expands its portfolio of Agentic Business Solutions (ABS), the company is investing in how innovations are brought to market. The Product Launch Program Manager will play a central role in this effort, reporting to the Commercial Operations Director within the GTM Operations team. This role is responsible for driving the structure, coordination, and execution required to translate product innovation into fully market-ready solutions.

Operating at the intersection of Product, Product Marketing, Services, and Solution Consulting, this individual will establish how launches are planned and executed, ensure cross-functional alignment, and hold teams accountable to delivering complete, high-quality launches that enable commercial success.

Responsibilities (in order of importance)

• Own the product launch program, defining how TraceLink brings new solutions to market with speed, clarity, and consistency

• Drive execution across Product, Product Marketing, Services, and Solution Consulting, holding stakeholders accountable at all levels, including senior leaders, to deliver against shared objectives

• Build a structured, stage-gated operating model by working backward from strategic launch goals into clear plans, milestones, and decision points

• Define and enforce readiness standards to ensure every solution is fully prepared for customer-facing teams, enabling effective selling, customer adoption, and customer impact

• Continuously improve how work gets done by challenging assumptions, simplifying where possible, and raising the standard for execution

Qualifications

• 2–5+ years of experience in Program Management, Product Operations, or GTM/Commercialization roles within a SaaS or technology environment

• Experience collaborating across multiple teams such as Product, Marketing, Sales, or Services

• Strong project management skills with the ability to manage complex initiatives and multiple stakeholders

• Ability to break down large, complex goals into clear, actionable steps

• Confident communicator who can effectively influence stakeholders, including senior team members

• Highly organized with strong attention to detail and follow-through

• Experience building processes or operating models

• Experience using data or tracking mechanisms to monitor progress and improve execution

• Proactive user of AI tools, regularly experimenting with new ways to improve productivity, problem-solving, and execution

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement software solutions

• Write clean, maintainable, and efficient code using Java, and Javascript

• Own end-to-end quality by defining quality plans and building automated tests

• Deploy and manage applications on Kubernetes and cloud platforms (AWS)

• Participate in code reviews to ensure code quality and adherence to coding standards

• Troubleshoot and debug software applications to resolve issues promptly

• Collaborate with product owners to understand requirements and deliver solutions that meet business needs

• Stay up-to-date with emerging technologies and industry trends to ensure our software remains cutting-edge

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 3–5 years of professional experience as a Software Engineer

• Strong proficiency in Java, Rx Java and Javascript

• Experience with container orchestration using Kubernetes

• Analyze, develop, as well as implement RESTful services and APIs

• Familiarity with Cloud platforms, particularly AWS

• Proficient with frontend technologies, including JS

• Familiarity with DevOps practices and CI/CD pipelines.

• Understanding of software development principles and best practices.

• Experience working in an Agile/Scrum-inspired delivery methodology.

• Solid troubleshooting and debugging skills

• Strong communication and collaboration skills

• Ability to work in a fast-paced and dynamic environment

• Ability to work effectively in a team environment and independently when required.

• Work closely with product managers and stakeholders to understand requirements and translate them into technical specifications.

• Stay updated with industry trends and best practices in software development.

Preferred Skills:

• Experience with microservices architecture

• Knowledge of other JavaScript frameworks and libraries like React,Node.

• Curiosity and openness to using AI tools to enhance learning, productivity, and engineering impact across the software development lifecycle; prior hands-on experience is a plus, but not required.

• Knowledge of CI/CD pipelines and automation tools

• Understanding of software development best practices and design patterns

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products

worldwide.

Who you are:

TraceLink is looking for talented full-time software engineers to build products at one of the fastest growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities :

The Software Development Engineer in Test assists in building and executing automated tests for

the Company's software products. The SDET will build testing tools to enable automated testing of

the TraceLink platform and application.

• Execute tests on the TraceLink platform and application.

• Extend and maintain automation frameworks.

• Prepare and present clear reports on defect findings that allow developers to quickly and accurately reproduce problems and allow the Quality Engineering team to verify that fixes are complete.

• Verify defect fixes.

• Build tooling for automated testing of the TraceLink platform and application.

• Programmatically interface testing tools with the TraceLink platform and application.

• Create testing tools that can be configured and used by non-developers and can simulate real-world transaction volumes involving potentially millions of transactions per day.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Research and remain informed of new technology and tools, and how such technologies could be applied at TraceLink.

•  Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

Qualifications :

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, or related discipline.

• 2-5 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• 2-5 years of experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• 2-5 years of experience developing against web services and Web-based APIs.

• 2-5 years of experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas

• 2-5 years of experience testing web-based enterprise-class business applications.Helpful skills and experience:

Helpful skills and experience:

•  Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products worldwide.

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team

Who you are:

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing

companies in the Pune area. If you’re self-motivated, intellectually curious and motivated by designing and

developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities:

The Software Development Engineer in Test assists in building and executing automated tests for the Company's

software products. The SDET will build testing tools to enable automated testing of the TraceLink platform

and application.

• Build and execute tests on the Tracelink platform and application.

• Build and deploy services for automated testing of the Tracelink platform persistent store.

• Execute performance tests on a Distributed Persistent Data store

• Create testing tools that can simulate real-world transaction volumes.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Stay curious, build Innovative solution to new age technical issues

• Influence designs and decision with supporting data

• Work closely with engineers building the core Tracelink product to ensure that testability concerns are factored into the design of the product.

• Extend and maintain automation frameworks to enhance Test coverage

• Prepare and present clear reports on defect findings that allow developers to reproduce problems and allow the Quality Engineering team to verify that fixes are complete quickly and accurately.

• Programmatically interface testing tools with the TraceLink platform and application.

• Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

• Research and remain informed of new technology and tools, and how such technologies could be applied at Tracelink.

Qualifications:

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, mechanical engineering, or related discipline.

• 5-8 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• Experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• Experience developing against web services and Web-based APIs.

• Experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas.

Helpful skills and experience:

• Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

• Direct interaction with customers and other TraceLink departments to understand, document, troubleshoot and resolve customer issues in a timely manner.
• Contribute to the development of standard procedures and tools for frequently used troubleshooting techniques.
• Partner with Product Management, Engineering and Quality Assurance on the timely resolution of customer reported issues.

• Experience supporting proprietary enterprise level software applications
• Customer-friendly communication and attitude
• Excellent verbal and written communication skills
• Strong analytical skills and attention to detail
• Demonstrate a strong ability to utilize UNIX command line interface with a focus of parsing data sets
• BS in Computer Science or similar information technology degree
• 7 + years working experience in a technical support and troubleshooting role
• Ability to read, parse and manipulate various technical formats including XML, EDI and CSV
• Working knowledge of B2B technologies including AS2, SFTP and Web Services
• Background writing in a scripting language a plus
• Experience with supply chain software and knowledge of pharmaceutical industry preferred
• Should be available to work daytime, evening, and/or overnight shifts to accommodate Americas, EMEA, and India/APAC time zones.
• As part of team rotation, will work late shift, Monday to Friday from 11 AM ET to 8 PM ET + rotational
• As part of team rotation, will be on call Monday to Sunday from 8 AM ET to 11 PM ET + rotational

About the Role

We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features, integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways.

This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI, and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences.

Key Responsibilities

• Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows.

• Build and maintain backend services and integrations using Python and/or Java.

• Contribute to multi-agent workflows, such as tool execution, routing, agent collaboration patterns, and task orchestration.

• Assist in creating testing and validation strategies for AI systems, including evaluation datasets, regression testing, and behavior monitoring.

• Help implement and improve knowledge base systems, including RAG pipelines, grounding strategies, and retrieval quality improvements.

• Contribute to experimentation with:

  • lightweight fine-tuning approaches for small language models (SLMs)

  • reinforcement-learning-inspired improvement loops for NLP/GenAI tasks (where applicable)

• Partner with product and domain teams to understand supply chain needs and translate them into working software.

• Participate in code reviews, documentation, and operational support to ensure high-quality production systems.

Required Qualifications

• Master’s/Bachelors degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.

• 0–2 years of professional experience in software engineering, AI engineering, or ML engineering (internships and co-ops count) OR equivalent experience

• Strong programming skills in Python and/or Java, including writing production-quality code.

• Familiarity with cloud platforms such as AWS, GCP, or Azure (academic, personal, or internship experience is acceptable).

• Interest or exposure to Generative AI concepts, such as LLMs, agent workflows, tool calling, or multi-step reasoning.

• Understanding of core engineering fundamentals:

  • APIs and services

  • basic distributed systems concepts

  • debugging and performance basics

  • data structures & algorithms

• Ability to learn quickly, take feedback well, and collaborate effectively in a team environment.

Preferred Qualifications

• Coursework, projects, or hands-on experience with agentic or multi-step AI systems, including non-deterministic behavior patterns.

• Exposure to designing knowledge base solutions, such as:

  • Retrieval-Augmented Generation (RAG)

  • embedding-based search

  • hybrid search approaches

  • reranking or relevance evaluation

• Experience or academic background in one of the following:

  • fine-tuning small language models (SLMs)

  • training or adapting NLP models

  • Reinforcement learning concepts applied to language systems

• Exposure to event-driven or reactive systems

• Interest in supply chain domains (logistics, manufacturing, procurement, etc.).

• Knowledge of the life sciences supply chain is a plus, but not required.

What Success Looks Like

• You can take a defined task (e.g., building a new RAG retriever, improving evaluation coverage, or implementing a new agent tool) and deliver a working solution with support from senior engineers.

• You write clean, testable code and steadily improve your ability to debug real-world production issues.

• You contribute to AI system reliability through experiments, evaluation improvements, and thoughtful engineering.

Who You Are

• Curious, motivated, and excited to build AI-driven products that ship to real users.

• Comfortable working with a mix of predictable engineering tasks and emerging AI workflows.

• Strong team player with a growth mindset and a willingness to learn.

The Application Architect is responsible for the design and overseeing the technical implementation of applications built on TraceLink’s Opus Multi-Enterprise cloud-based platform.

 You will:

• Be a thought leader on architecture and design of cloud-based applications that provide mission-critical functionality and support high transaction volume;
• Become a subject matter expert on how to build applications on TraceLink’s  Opus  cloud-based fully distributed architecture;
• Work collaboratively with product management to gain deep insight into business application requirements;
• Provide high-level analysis and write high level designs to apply appropriate Opus Platform technologies to solve business problems; ensure design, structure, and content meet performance guidelines;
• Drive application design emphasizing reliability, scalability, maintainability, and other key ‘ilities’ to deliver resilient and future-ready systems;
• Identify Opus technology/architectural gaps between application needs and platform capability. Work closely with Platform Architects and senior technical leadership to address the gaps;
• Prototype and in some cases implement the underlying code to advance application functionality in advance of or coordination with the development teams;
• Be a role model and mentor for less senior technical contributors

Skills and Requirements:

Candidates must possess the following skills and traits:

• 8 + years software development experience
• Strong experience in software development in Java
• Strong experience in building sophisticated microservice-based applications
• 3+ years hands-on experience in an architect role employing a variety of technologies
• 2+ years experience as a technical lead
• Ability to communicate clearly and effectively, and collaborate with other disciplines
• Solid technical writing skills
• Experience working on enterprise business applications
• Experience in building cloud-based applications on platforms such as Amazon Web Services
• B.Tech/B.E.  or greater in computer science or related area OR equivalent experience
• Experience and interest in working in fast-paced environments
• Experience developing a product in an Agile development environment
• Experience in developing Enterprise Software (e.g. Supply Chain, ERP, Manufacturing)