Key Responsibilities

Campaign Planning & Onboarding

• Own the end-to-end campaign setup process — from brief intake and media planning to creative specifications, trafficking, and go-live
• Translate advertiser KPIs (ROAS, CPL, CTR, incremental lift) into campaign structures suited for Razorpay's Transaction Ads inventory and Audience Intelligence activations on Meta and Google
• Coordinate with sales and advertiser teams to define targeting parameters, audience segments, budget pacing, and flight schedules
• Ensure all campaigns are launched accurately and on time, with proper tracking and attribution in place

Campaign Execution & Optimization

• Monitor live campaigns daily across Razorpay Media Network (in-transaction and post-transaction placements) and offsite channels (Meta, Google)
• Proactively identify underperforming campaigns and implement optimizations across bids, creatives, audience segments, and pacing
• Manage budget allocation across campaigns to maximize delivery and performance against KPIs
• Work with the publisher operations team to troubleshoot delivery issues and ensure inventory health on 3P publisher platforms

Client Reporting & Insights

• Build and deliver regular performance reports (weekly, mid-flight, end-of-campaign) with clear insights and recommendations
• Present campaign results to advertiser POCs and agency teams, demonstrating ROI and identifying opportunities for upsell or renewed investment
• Develop standardized reporting templates and dashboards that scale across the campaign portfolio

Audience Intelligence Campaign Management

• Set up and manage transaction graph-based audience segments for activation on Meta and Google
• Coordinate with the data and product teams on segment availability, refresh cycles, and match rate optimization
• Support advertiser teams in interpreting audience performance data and refining segment strategies across campaign cycles

Cross-functional Collaboration

• Partner with enterprise sales during the pre-sales phase to validate campaign feasibility, scope delivery timelines, and set realistic performance expectations
• Work closely with product on feature gaps, delivery bugs, and tooling improvements that impact campaign operations
• Coordinate with creative and agency partners to ensure ad assets meet platform specifications and quality standards
• Feed structured performance insights back to the sales team for renewals, upsells, and new business pitches

Process & Operations

• Maintain accurate campaign trackers, status dashboards, and pacing reports across the entire active portfolio
• Document SOPs for campaign onboarding, optimization workflows, and reporting cadences
• Flag risks proactively — budget overruns, delivery shortfalls, creative fatigue — and drive resolution before they impact client outcomes

Required Skills and Qualifications

• Bachelor's degree in any discipline; quantitative or business backgrounds preferred
• 3–6 years of experience in campaign management, ad operations, or performance marketing — ideally at a DSP, ad network, publisher, or performance marketing agency
• Hands-on experience managing campaigns on Meta Ads Manager and Google Ads (DV360 or Programmatic is a plus)
• Strong analytical ability — comfortable working with campaign data in Excel/Sheets, pulling insights, and identifying optimization levers without hand-holding
• Experience with audience-based targeting strategies (custom audiences, lookalikes, contextual, behavioral segments)
• Familiarity with tracking and measurement frameworks — pixel setup, conversion events, UTM parameters, and attribution models
• Excellent client-facing communication skills; able to present performance data clearly to marketing and agency stakeholders
• High ownership mentality — able to manage 10-15 campaigns simultaneously while maintaining quality and SLA commitments
• Prior exposure to retail media, commerce media, or fintech advertising is a strong plus
• BFSI advertiser experience (banks, credit cards, insurance, fintech) is an advantage

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview 

We are looking for an experienced Software Development Manager to lead a team of 8-14 engineers building critical settlement platform capabilities. You will own the technical direction, delivery, and people growth for your team while partnering closely with business stakeholders to deliver a world-class finance & settlement platform. 

The CGFS (Coupang Global Financial Settlement) team is responsible for the end-to-end settlement platform — from vendor master management and AR/AP registers, through netting engines and tax invoicing, to payment execution and GL posting. We process billions of dollars in settlements annually across multiple countries and business models.

You will have the opportunity to : 

• Build a greenfield settlement platform processing billions in daily volume
• High-impact role — your team's work directly affects vendor/seller payment accuracy and speed
• Work with cutting-edge distributed systems at massive scale 

What You Will Do 

• Lead, hire, and grow a team of 8-14 backend engineers building core settlement platform services
• Own technical delivery of key platform capabilities including revenue/inventory accounting, AR/AP processing, tax invoicing, integration with fintech & SAP.
• Partner with Product, Accounting, Treasury, and Tax teams to translate complex business requirements into scalable technical solutions
• Drive architecture decisions across Java backend services, distributed data stores (MySQL/TiDB, DynamoDB, Aurora), and streaming infrastructure (Kafka, Flink, Spark)
• Establish engineering excellence — code quality, operational readiness, on-call practices, and incident response
• Manage cross-functional dependencies and delivery timelines across multiple platform capabilities
• Mentor engineers, conduct performance reviews, and build a high-performing engineering culture
• Drive migration from legacy SAP-based settlement to modern microservices architecture
• Ensure platform reliability, correctness, and auditability for financial-grade systems processing billions in daily settlements 

Basic Qualifications 

• 8+ years of software engineering experience with 3+ years in engineering management
• Strong technical background in Java backend development and distributed systems
• Experience managing teams of 10+ engineers through full development lifecycle
• Hands-on experience with relational databases (MySQL, Aurora, TiDB) and NoSQL (DynamoDB)
• Experience with event-driven architectures and streaming platforms (Kafka, Flink, or Spark)
• Track record of delivering large-scale, high-reliability platforms on time
• Strong communication skills — ability to translate between business stakeholders and engineering teams
• BS/MS in Computer Science or equivalent practical experience  

Preferred Qualifications 

• Experience in finance, accounting, payments, or e-commerce settlement domains
• Experience with financial-grade systems (auditability, reconciliation, idempotency, data correctness)
• Experience migrating legacy monolithic systems to microservices
• Experience with OLAP/analytics engines (Hive, Pinot) for operational reporting
• Experience operating at scale in a fast-growing, multi-country environment 

Type of work model 

• Hybrid / Onsite / Remote working 

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview 

The C-Returns Platform team owns the end-to-end lifecycle of cancellations, returns, and exchanges for Coupang's e-commerce ecosystem. We process millions of post-purchase resolution requests through our customer facing Coupang App and CS/back-office channels, serving both Korea and Taiwan markets. Our platform is mission-critical infrastructure that directly impacts:

• Customer satisfaction — making post-purchase resolution fast, transparent, and predictable
• Inventory protection — minimizing inventory loss through structured collection logistics, QA inspections, and time-bound auto-withdrawal policies
• Business agility — enabling rapid policy changes through event-driven architecture with visibility and adaptability
  

What You Will Do 

• Build and maintain Tier 1 & Tier 2 services that handle 500K+ requests/day across multiple microservices
• Design and implement complex business workflows using Activiti BPMN and Temporal Cloud for orchestrating cancellations, returns, exchanges, and refunds
• Integrate with 15+ upstream and downstream systems including Order, Shipment, Payments, Transport.
• Implement policy-driven business logic that adapts to frequently changing cancellation, return, and refund rules  

Basic Qualifications

• 7+ years of backend software engineering experience
• Strong proficiency in building distributed systems and microservices architecture
• Experience with high-throughput, low-latency systems handling millions of requests
• Experience with event-driven architectures using Kafka or similar messaging systems
• Strong problem-solving skills and ability to debug complex distributed systems
• Excellent collaboration skills to work with cross-functional teams (Product, CS, Logistics, Payment)

Preferred Qualifications

• Backend development (Java, Kotlin, or similar JVM languages preferred)
• RESTful API design and implementation
• Database design and optimization (MySQL, Aurora)
• Message queue systems (Kafka)
• Workflow engines (Activiti BPMN, Temporal)
• Monitoring and alerting (Grafana, CloudWatch)
• Version control (Git)
• CI/CD tools (CircleCI or similar)
  
  

Type of work model 

• Hybrid / Onsite / Remote working 

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

#LI-Hybrid

P22262_3137714

Description

We are seeking a ServiceNow ITAM Developer to join our ServiceNow Platform Team. This role is a key driver in our mission to manage the full lifecycle, compliance, and financial impact of our global technology footprint. You will serve as the technical SME for Software Asset Management (SAM) and Hardware Asset Management (HAM), ensuring our platform delivers an accurate, real-time view of asset visibility and cloud consumption.

This is a highly collaborative and integrated role. You will work closely with our SAM Managers to translate complex asset management business processes into technical solutions that identify and capture cost-saving opportunities. You will manage a sophisticated ecosystem that connects financial data from Workday and NetSuite, procurement data from Coupa, and endpoint data from JAMF and Intune. Your expertise will bridge the gap between technical data modeling and strategic business outcomes.

Responsibilities

• Lead technical delivery for ServiceNow SAM and HAM, focusing on the Content Library, Normalization engines, and Reconciliation processes.
• Partner with business stakeholders to analyze asset management business processes and implement automated workflows that drive license reclamation and cost-avoidance strategies.
• Oversee and troubleshoot complex integrations with core systems, including Coupa, Okta, JAMF, and Intune, ensuring data flow is consistent and accurate.
• Build, configure, and maintain integrations with SaaS connectors (e.g., Salesforce, Workday, Adobe) and develop custom integrations for unique software vendors using IntegrationHub.
• Build and maintain automated workflows for the hardware lifecycle, following Common Service Data Model (CSDM) best practices to keep the Asset and CI tables in sync.
• Implement HAM Pro features like Hardware Model Normalization, Mobile Asset Tracking, and Asset Inventory Audit workflows.
• Manage Cloud Cost Management (CCM) workflows to provide visibility and optimization for AWS and GCP spend.
• Manage Software Spend Detection by integrating financial data from Workday and NetSuite to identify tail spend and shadow IT.
• Design advanced dashboards and Performance Analytics widgets to report on compliance, cloud savings, and hardware refresh cycles for executive leadership.

Requirements

• 3-5 years of experience as a ServiceNow Developer, with at least 2 years of deep focus on SAM and HAM.
• ServiceNow Certified System Administrator (CSA) is required; CIS–SAM or CIS–HAM is highly preferred.
• Strong understanding of ITAM business processes (e.g., procurement, deployment, harvesting, and disposal) and how they translate into platform configuration.
• Expertise in the ServiceNow SAM data model and its relationship with the CMDB and CSDM, maintaining architectural integrity across Software Models, Entitlements, and Discovery Models
• Proven experience with Cloud Cost Management/Optimization for AWS and GCP.
• Hands-on experience building both Out-of-the-Box SaaS connectors and custom integrations using REST/JSON and IntegrationHub.
• Technical proficiency in ServiceNow scripting, including JavaScript, GlideRecord, Flow Designer, and Scheduled Jobs.
• Familiarity with discovery tools like ServiceNow Discovery, JAMF, and Intune, and their role in the normalization process.
• Ability to troubleshoot complex normalization and reconciliation issues by analyzing raw discovery data vs. library content.

#Hybrid_Bengaluru

#LI_Linkedin P24872_3391844

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
• 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
• Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
• 3NF — operational and transactional layer design
• Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
• Data Vault 2.0 — hubs, links, satellites, business keys
• Data mesh & domain-oriented data product design
• Architecture Decision Records (ADRs) and C4 modelling
• Data contract design — schema, SLAs, versioning
• Data catalogue & metadata management design
• Data quality framework design and governance policy
• BigQuery — advanced design, partitioning, clustering, BI Engine
• Dataflow (Apache Beam) — streaming and batch architecture
• Cloud Composer / Airflow — orchestration design
• Pub/Sub — event-driven data product patterns
• Dataplex — data cataloguing, lineage, data quality
• Vertex AI Pipelines — ML feature pipeline integration
• Cloud Storage — data lake zone design (raw/curated/serving)
• Terraform — IaC standards and landing zone design
• Databricks Lakehouse — medallion architecture, zone design
• Delta Lake — ACID, time travel, schema evolution, Z-ordering
• Unity Catalog — governance, lineage, access control, data products
• Databricks Workflows and Asset Bundles — lifecycle automation
• PySpark — advanced optimization, broadcast, AQE, dynamic pruning
• dbt on Databricks — transformation layer standards
• Databricks on GCP — cluster policy, instance pools, cost governance
• MLflow — model registry integration with data product layer
• Unity Catalog — fine-grained access, row/column security
• Dataplex — data mesh governance on GCP
• Data lineage — column-level lineage design and tooling
• GDPR, data residency, and privacy-by-design principles
• Data stewardship operating models
• Metadata standards — Dublin Core, OpenLineage, OpenMetadata
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
• TOGAF, Zachman, or equivalent enterprise architecture framework certification.

Nice to have qualifications  

• Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
• Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
• Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
• Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
• Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
• Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
• OpenMetadata or Collibra — enterprise-grade data catalogue implementation
• Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
• Google Cloud Professional Machine Learning Engineer
• CDMP (Certified Data Management Professional) — DAMA certification
• HashiCorp Terraform Associate

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Overview of Role

The IT Service Desk L3 Engineer is a senior-level technical role responsible for providing the highest level of internal support and acting as the final escalation point for the IT Service Desk. This individual will lead complex project implementations, architect secure identity solutions, and ensure the stability of core infrastructure services. The L3 Engineer works closely with IT leadership to define technical standards, automate workflows, and maintain a high-security posture across all platforms.

Responsibilities

• Serve as the primary escalation point for complex technical issues from L1 and L2 engineers, ensuring timely resolution and adherence to SLAs.
• Architect, implement, and manage enterprise-grade SSO and Identity Provider (IDP) solutions.
• Manage and optimize Google Workspace and Administration at an expert level, including advanced security configurations and audit logging.
• Serve as the Subject Matter Expert (SME) for the Atlassian suite, specifically Jira Service Management, to streamline IT and business workflows.
• Enforce email security standards by configuring and monitoring SPF, DKIM, and DMARC protocols.
• Automate user lifecycle management through SCIM, JIT, and other advanced provisioning protocols.
• Oversee global Mac OS device management using advanced MDM tools and hardware asset management protocols.
• Manage complex storage infrastructure including iSCSI, NFS, and SFTP environments.
• Conduct Problem Management to identify root causes of recurring incidents and implement long-term preventative measures.
• Lead technical documentation efforts, creating architectural diagrams and high-level knowledge base articles.

Key Skillsets

• Identity & Access: Deep expertise in Single Sign-On (SSO) integration and Identity Provider (IDP) solutions (e.g., Okta, Azure AD). Mastery of identity protocols including OAuth 2.0, SAML 2.0, and OpenID Connect. Hands-on experience with automated user provisioning via SCIM and Just-in-Time (JIT) provisioning for user lifecycle management.
• Messaging Security: Expert-level knowledge in configuring, deploying, and troubleshooting email authentication protocols (SPF, DKIM, DMARC) to prevent spoofing and enforce email security policies.
• Infrastructure & Storage: Strong understanding of storage protocols (iSCSI, NFS) for enterprise environments. Experience managing secure file transfer protocols (SFTP) and core networking services (DNS, DHCP) for reliability and performance.
• Collaboration Suites: In-depth and demonstrable expertise in Google Workspace Administration, including advanced security settings, organizational unit (OU) management, audit log analysis, and Chrome Enterprise Management.
• Atlassian Suit: Expert level knowledge in Atlassian products, including designing and managing complex workflows, automation, and reporting within Jira Service Management (JSM), Jira Software, and Confluence to streamline IT operations and project delivery. Specific JSM expertise must include:
• Incident & On-Call Management: Implementing and managing JSM Premium features such as the Operations Center for on-call scheduling with various shifts, rotations, and overrides, full escalation policies, and advanced notifications (SMS, voice calls, Slack) for P1/P2 alerts.
• Platform Administration: Creating new request types and approval workflows based on ITIL principles, and leveraging the JSM/Confluence integration for knowledge base management.
• Integration & Automation: Expert experience with JSM API usage, troubleshooting complex API integrations (including webhooks for real-time data synchronization to external systems like CRM), and developing API scripts for user and data migration.
• Licensing & Cost Reduction: Utilizing Identity Providers (IDPs) (like Rippling/Okta) to reduce Atlassian license spend, manage user access based on organizational needs, and transition license models.
• AI Integration: Implementing Atlassian Rovo and integrating it with the IT Service Desk knowledge base to provide initial assistance and automated responses for incoming tickets.
• Endpoint Management: Proven experience with Enterprise Mac OS and Windows endpoint management, including deployment, patch management, security baselining, and inventory using modern MDM solutions (e.g., Rippling, Jamf, Intune).
• Operating Systems: Advanced troubleshooting and scripting skills for Mac OS and Windows operating systems.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 7–10+ years of experience in IT support, system administration, or infrastructure engineering.
• Advanced certifications such as Professional Google Workspace Administrator, GCP Cloud Architect, or Atlassian Certified Professional.
• Proven track record of managing complex identity migrations and enterprise-level MDM deployments.

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Key Responsibilities

• Edit a wide range of videos: testimonials, brand films, social content, product explainers, event recap videos, and internal communication pieces.
• Cut, refine, colour-grade, sound-mix, and add motion graphics to deliver professional-quality output.
• Work with the creative lead to understand briefs, recommend creative approaches, and maintain brand consistency.
• Organise footage, maintain project files, and manage efficient workflows.
• Adapt edits to multiple formats and aspect ratios (16:9, 9:16, 1:1) for different platforms.
• Bring strong storytelling instincts and the ability to elevate an edit beyond the brief.

Must-Have Skills

• Strong storytelling sense — pacing, rhythm, emotion, music sync.
• Excellent visual taste and attention to detail.
• Ability to work fast without compromising quality.
• Experience editing for brand and corporate content.
• Good sense of sound design and music selection.
• Ability to take feedback positively and iterate quickly.
• Strong organizational and file-management discipline.

Software Expertise

• Adobe Premiere Pro (mandatory)
• After Effects (for basic motion graphics, titles, lower-thirds, transitions)
• Photoshop (for quick graphic tweaks when needed)
• Familiarity with audio tools (Audition or basic sound plugins)

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

We’re looking for a hands on Facilities & Admin Manager to own the day-to-day operations of our workplace and administrative functions. This is an individual contributor role for someone who enjoys building great workplace experiences, thrives in a fast-paced environment, and can independently manage facilities, vendors, and travel operations.

If you love taking ownership, solving problems, and making things run smoothly behind the scenes - this role is for you.

What you’ll be doing

Facilities & Workplace Operations

• Own the daily operations of the office to ensure a seamless and productive workplace experience
• Serve as the primary point of contact with managed office partners (e.g., Indiqube) for facilities, infrastructure, and support
• Oversee housekeeping, security, maintenance, pantry services, and office supplies
• Ensure compliance with safety standards, workplace policies, and statutory requirements
• Manage office assets, inventory, and access systems

Vendor & Logistics Management

• Manage external vendors for maintenance, repairs, procurement, and services
• Support office expansions, seating allocation, and workspace planning
• Drive cost efficiency through smart vendor negotiations and contract management

Travel & Hospitality

• Manage domestic and international travel bookings including flights, hotels, and ground transport
• Coordinate executive travel plans and end-to-end itineraries
• Negotiate corporate hotel rates and manage travel partners
• Oversee guest visits, leadership visits, and all hospitality arrangements

Administrative Support

• Partner with leadership on facilities planning, budgeting, and forecasting
• Track and manage facilities and administrative expenses
• Ensure smooth onboarding logistics - workspace setup, access cards, and office readiness

What you bring to the role

• 8+ years of experience in Facilities, Administration, or Workplace Management, ideally in a startup or SaaS environment
• Hands-on experience working with managed office providers such as Indiqube, WeWork, or similar
• Strong vendor management and negotiation skills
• Experience managing travel coordination and logistics
• Highly organized, detail-oriented, and execution-focused
• Comfortable working independently in a fast-growing, dynamic setup

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

About the role:

Samsara Technologies India Private Limited is looking for a NetSuite Techno-Functional Consultant.

We are seeking a skilled NetSuite Techno-Functional Consultant with a balanced expertise of scripting and functional knowledge. The ideal candidate will have a robust background in both the technical and functional aspects of NetSuite, including customization, integration, and business process optimization. This role requires a blend of technical proficiency and business acumen to support and enhance our NetSuite environment effectively.

This is a hybrid position requiring 2 days per week in our Bangalore office and 3 days working remotely. Relocation assistance will not be provided for this role. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will:

• Design, develop, and deploy advanced customizations, scripts, workflows, and integrations on the NetSuite platform, ensuring scalability, performance, and maintainability.
• Own and evolve SuiteScript 2.X scripts, SuiteFlow workflows, and SuiteTalk web services end-to-end, serving as the platform SME for the team.
• Lead technical design & code reviews for new features and integrations, defining standards and enforcing best practices across the team.
• Troubleshoot and resolve complex SOAP, RESTlet, and API errors, performing root cause analysis and implementing durable fixes.
• Customize NetSuite dashboards, forms, fields, saved searches, records, and reports to meet evolving business requirements across Finance, Procurement, Order Management, and Inventory.
• Perform system audits and generate insights to assess the performance, reliability, and effectiveness of NetSuite configurations and customizations.
• Provide ongoing maintenance, support, and enhancements for NetSuite applications to ensure optimal performance and reliability.
• Leverage AI-powered developer tools — including Cursor, Claude Code, and Gemini — to accelerate development velocity, improve code quality, and reduce time-to-delivery on complex initiatives.
• Champion the adoption of AI-assisted workflows (code generation, debugging, documentation, code review) within the FinSys engineering team.
• Continuously evaluate and recommend new AI tooling and development accelerators that improve team productivity and platform reliability.
• Own and enforce Git-based version control practices across all NetSuite customization and integration work, including branching strategies, pull request workflows, and code review standards.

Minimum requirements for the role:

• Bachelor's degree or equivalent years of experience.
• 7+ years of hands-on experience in NetSuite development and functional roles, with demonstrated ownership of complex, production-grade solutions.
• Deep proficiency in SuiteScript 2.0, SuiteFlow, SuiteTalk, RESTlets, and SuiteBuilder.
• Strong command of JavaScript, HTML, CSS, and SQL; ability to write, debug, and refactor complex scripts independently.
• Proven experience designing and building NetSuite integrations with external systems using REST/SOAP APIs and integration platforms.
• Strong functional knowledge of NetSuite modules including Financials, Order Management (O2C), Procurement (P2P), and Inventory.
• Familiarity with AI developer tools such as Cursor, Claude Code, or Gemini, with demonstrated use in accelerating development workflows.
• Experience with Git and GitHub for version control, code collaboration, and pull request-based development workflows.
• Ability to operate autonomously on complex, ambiguous problems in a fast-paced, enterprise-scale environment.
• Strong understanding of NetSuite data model, configuration, and best practices.

An ideal candidate also has:

• NetSuite certifications (e.g., SuiteFoundation, SuiteCloud Developer, ERP Consultant) are preferred but not required.
• Hands-on experience with integration platforms such as Workato, MuleSoft, or Boomi.
• Track record of identifying and implementing meaningful improvements to NetSuite performance, automation, and user experience.
• Excellent problem-solving skills and attention to detail, with a structured approach to debugging and root cause analysis.
• Strong sense of ownership: you see ambiguous, high-impact problems as opportunities and drive them to resolution without being asked twice.
• Experience working in a mid-to-enterprise organization undergoing rapid growth, where agility and pragmatism matter as much as technical depth.
• A growth mindset — you invest in your own skills, share knowledge generously, and raise the bar for those around you.

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. 

We are seeking a highly skilled, part-time Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites.

About IRL

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

Who You Are:

A problem-solver who enjoys troubleshooting, working with physical devices, and finding creative solutions to problems quickly. 

• Education: ITI or Diploma in Electronics, Mechatronics, or Electrical Engineering.
• Experience: proven background in repairing "small-form-factor" electronics (e.g., smartphones, drones, or action cameras)
• Technical Skills: high dexterity with precision hand tools, multimeters, and soldering stations
• Safety: deep understanding of ESD (Electrostatic Discharge) safety protocols
• Software: comfortable navigating Linux/Windows-based diagnostic shells and firmware update tools.
• Mobility must possess a valid two-wheeler license and a personal vehicle for local travel.
• A hard worker who is comfortable working in new and different field environments, and adapting to new hardware and systems. 
• An operator who is experienced with the basics of hardware maintenance and support.
•  

Nice-to-haves:

Experience supporting robotics, sensors, wearables, cameras, or prototype hardware systems. Experience with firmware flashing, Linux, Android, embedded devices, or basic networking. Experience at an early-stage or mid-stage startup. Basic electrical, mechanical, or hardware assembly experience. Comfort building with AI tools like Cursor and Claude Code

What You’ll Do:

• Field Hardware Support. Maintain and troubleshoot deployed data collection systems, including cameras, sensors, batteries, storage media, cables, mounts, and wearable equipment.
• Device Configuration. Perform hardware setup, provisioning, firmware flashing, software updates, calibration, and readiness checks prior to deployment.
• Issue Resolution. Diagnose and resolve day-to-day technical issues in the field, document recurring failures, and escalate more complex problems to engineering teams.
• Repair & Refurbishment. Replace damaged or worn components, manage spare parts inventory, and prepare returned systems for rapid redeployment.
• Operator Enablement. Support field operators with fit adjustments, setup guidance, charging workflows, and best practices to ensure reliable data capture.
• Cross-Functional Collaboration. Coordinate with robotics leadership, data ops, QA, and engineering teams to continuously improve hardware reliability, usability, and field performance.

About the Role

We are hiring a Supply Chain Manager to own the Asia-side supply chain operations for our AI hardware products. Based in India, you will be the operational owner of PCBA build execution with our CM partners, component-level supply planning, procurement management, and Asia logistics. This role is critical to ensuring our production pipeline runs smoothly from component procurement through board assembly to finished goods fulfillment. You will work extensively in NetSuite ERP for procurement, MRP, inventory management, and invoice reconciliation. You will also own the tactical procurement work including PO/invoice reconciliation and drive monthly variance analysis (PCBA costs, material variances, and PPVs) in partnership with finance.

Key Responsibilities

PCBA Build Planning & Execution

• Create, manage & execute build schedules aligned to demand plan & CM capacity
• Track WIP daily: monitor yield, flag deviations, and drive corrective actions
• Manage ECN/PCN implementation at the CM — coordinate with engineering and CM partners
• Own CM capacity slot management & build prioritization

Procurement Management & Variance Analysis

• Create and track purchase orders across all consigned components for PCBA
• Perform PO-to-invoice reconciliation; investigate and resolve discrepancies
• Own PCBA cost variance analysis: material, manufacturing, and Purchase price variances
• Prepare monthly PPV reports and root cause analysis for finance review cycles
• Coordinate supplier payment schedules and resolve invoice disputes

Asia Logistics & 3PL Fulfillment

• Coordinate Asia freight for components & finished goods
• Manage 3PL partner relationships, SLAs, and performance metrics
• Handle export documentation, customs compliance, and trade regulations
• Execute last-mile fulfillment for customer shipments originating from Asia

Component Supply Planning & Inventory Management

• Run component-level MRP and manage shortage resolution
• Monitor inventory at the Wistron hub: raw materials, WIP, and finished goods
• Establish Inventory Metrics & forecast model for the company
• Identify excess and obsolete inventory risks; recommend disposition strategies
• Ensure Inventory accuracy >99% for the company via perpetual inventory management process

AI-Augmented Operations & Systems

• Leverage AI tools for day-to-day operations. Well versed working with AI based tools (e.g. Claude, Co-pilot)
• Lead projects to scale operations using AI/automation across supply chain functions driven by short term pain points, quick wins & impact to the organization.
• Maintain master data accuracy: items, BOMs, lead times, etc.
• Execute P2P, Manufacturing, Transfer Orders, Order Fulfillment workflows in NetSuite

Required Qualifications

• 8+ years in supply chain planning, procurement, or manufacturing operations
• Hands-on experience with NetSuite ERP (required) — PO management, MRP, inventory, and financial reconciliation modules
• Hands-on experience with contract manufacturers, preferably in electronics/PCBA
• Strong procurement fundamentals: PO management, invoice reconciliation, cost analysis
• Analytical mindset — proficient in Excel/data tools for variance analysis and reporting
• Comfortable working in a fast-paced startup environment with ambiguity

Preferred Qualifications

• Experience with Tier-1 EMS providers
• Familiarity with AI/ML tools for supply chain automation
• Background in server, networking, or AI accelerator hardware
• APICS or equivalent supply chain certification

What Success Looks Like

• Within 30 days: Fully onboarded on E2E supply chain; independently running supply planning meetings. Plug in to NetSuite ERP to identify gaps in current process
• Within 60 days: Owning variance analysis cycle end-to-end; driving 3PL performance improvements
• Within 90 days: Operating autonomously across all responsibilities; proactively surfacing cost drivers and supply risks

JOB TITLE

Mobility Engineer, End User Technology

A CAreer with point72’s Technology TEAM

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.

What you’ll do

We are seeking a Mobility Engineer with deep expertise in Microsoft Intune to own and evolve Point72’s modern endpoint and mobility platform. This role is heavily focused on mobility and modern device management, while also supporting Windows, macOS, mobile devices, and Windows 365 Cloud PCs.The ideal candidate will be responsible for the end-to-end lifecycle management of corporate and BYOD endpoints, ensuring a secure, seamless, and high-performing end-user experience across the firm.

• Lead the end‑to‑end management of mobile and endpoint devices using Microsoft Intune and other enterprise MDM tools.
• Design, deploy, and support Intune for iOS, Android, Windows, macOS, and Windows 365 environments.
• Create and manage configuration profiles, compliance policies, security baselines, and application deployments.
• Implement Windows Autopilot and optimized enrollment processes to deliver a seamless onboarding experience.
• Integrate Intune with Entra ID, Conditional Access, and Defender to enforce secure, identity‑based access.
• Apply encryption, MFA, remote wipe, and continuous monitoring to meet security and regulatory requirements.
• Deliver Tier 2/3 endpoint support, investigate complex issues, and perform root cause analysis.
• Use PowerShell, Microsoft Graph, and scripting to automate tasks and improve operational efficiency.
• Partner with support and application teams to reduce recurring issues and enhance device usability.
• Oversee vendor relationships, device lifecycle, inventory, reporting, and maintain clear technical documentation.

What’s REQUIRED

• Bachelor’s degree in IT, Computer Science, or equivalent experience, with 5–7+ years in enterprise mobility and endpoint management.
• Strong hands-on experience using Microsoft Intune in a production enterprise environment for device and application management.
• Proven experience managing iOS/iPadOS, Android (corporate & BYOD), Windows 10/11, macOS, and Windows 365 Cloud PCs.
• Solid understanding of Entra ID (Azure AD), Conditional Access, Microsoft Defender for Endpoint, and zero‑trust security principles.
• Experience working in hybrid Active Directory environments, including Group Policy (GPO) management.
• Proficiency in PowerShell and automation engineering to improve endpoint operations and efficiency.
• Ability to lead and prioritize complex troubleshooting across the organization, perform root cause analysis, and recommend long‑term risk mitigation.
• Strong problem-solving, analytical, communication, and collaboration skills with a strong focus on end‑user experience and satisfaction.
• Ability to work independently or in teams, remain composed in fast‑paced environments, and provide on‑call or weekend support when required.
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.

As an Solutions Engineer, you will actively contribute to, architect for, and lead the company in the design and development of new infrastructure automation projects. You will be instrumental in helping us solve, by architecture and implementation, complex hybrid infrastructure problems among corporate’s robust inventory of networking systems, applications, and cloud infrastructure. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging on projects under the guidance of the Lead Solution Architect..

You are a strong solutions engineer who is passionate about scalable, resilient, secure, and cost-efficient infrastructure solutions. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as an individual. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.

Responsibilities:

• Designing and implementing complex and well-architected enterprise infrastructure and data solutions
• Work to improve existing systems, solutions, and process through architectural reviews and design enhancement initiatives
• Experience in devops methodologies and practices as applied to infrastructure, cloud, identity, integration and network solutions
• Improve systems to provide strict compliance adherence, security guardrails, and cost-optimization
• Contribute to the re-architecting of systems, solutions, and processes for more streamlined, scalable, and resilient implementations
• Contribute to well-architected, end-to-end provisioning solutions to a growing enterprise organization across multiple environments and types of infrastructure
• Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value

Requirements:

• 3+ years of industry experience with a proven track record of ownership and delivery
• Experience developing scalable, secure, and resilient infrastructure architectures and implementations
• Experience in observability and cost-optimization in application, server, and cloud (AWS preferred) settings
• Experience working with on-premise (Fortinet) network devices on a system administration and configuration level
• Experience with DNS (CloudFlare and Route53 preferred) as well as VPN management (FortiClient, ZScaler, and Netskope preferred)
• Experience with Identity Providers (Okta preferred)
• Experience with Certificate Management (Digicert and AWS ACM preferred) and authentication 
• Hands-on infrastructure as code experience (Terraform preferred) as well as CI/CD pipelines (Scalr and GitHub Actions preferred)
• Experience with writing automations and system integrations (Python preferred)
• Strong experience with AWS
• Excellent verbal and written communication skills
• Experience implementing robust and well-architected designs for enterprise scale systems
• Experience and comfort with an on-call schedule for enterprise systems during daylight hours regional time

Desirable:

• Experience in the following specific technologies is a plus:
• ADP
• Azure
• GCP
• Experience with Scalr
• Experience with AI tooling such as Boomi, Databricks (AI portions), AWS Bedrock, Gemini, and Claude
• Experience with Databricks as a whole
• CCNA, CCNP, or equivalent network certifications
• You should have a passion for continuous learning and deep technological curiosity
• Agile development experience and a familiarity with Jira, sprints, and pointing

About Us:

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Why project44?   

At project44, we revolutionize supply chains with our High-Velocity Supply Chain Platform. As the connective tissue of the supply chain, project44 optimizes global product movement, delivering unparalleled resiliency, sustainability, and value for our customers. We operate the world's most trusted end-to-end visibility platform, tracking over 1 billion shipments annually for 1,300 leading brands across various industries, including manufacturing, automotive, retail, life sciences, food & beverage, and oil, chemical & gas. Our High-Velocity platform eliminates supply chain friction, enabling sophisticated inventory control, exceptional customer experience, and predictive analytics through machine learning and automation.

project44 is looking for a digital-savvy Senior Customer Success Manager

About The Role 

• You will act as the primary owner of a base of tech-touch customers and create a customer lifecycle journey for customers in this group. 
• You will be amongst the first product specialists in this relatively new role, and therefore be able to help develop and craft the strategy. 
• You will be responsible for the research, planning, coordination, and execution of launching tech-touch customer success service programs to drive on-boarding, engagement, renewal, and expansion. 
• Drawing on usage data and other information, you will craft a segmented approach to engaging and providing self-guided solutions to tech-touch customers. 
• Once established, you’ll continue to optimize consumption, adoption and monitor measures to understand how we’re doing and how we can learn and improve. 
• You will help our tech-touch customers feel valued and supported through targeted emails, health scores, usage triggers etc – creating a tailored yet scalable approach to customer success of this segment of customers. 
• You'll have the opportunity to collaborate cross functionally (Product, Carrier-facing teams etc.) and support your teammates on projects and through knowledge sharing. 
• You'll contribute to the product input feedback process to ensure constant and valuable customer input is available to the team and advocate and prioritize as required. 
• Shift Timings: 4pm IST to 1am IST (You will be managing North American customers)
   

About You 

Basic Qualifications 

• 5+ years relevant work experience in a Customer Success Tech Touch, Product Specialist, or Project Management role 
• Experience working in SaaS companies
• Experience working with Logistics Service Providers (LSP)

Other Qualifications 

• Motivated to learn and grow knowledge around all aspects of a successful product, project and transformational change in organizations 
• Good interpersonal skills; internal and external, written and verbal communication are important in this role 
• Ability to present and interact with business teams with ease and integrity 
• Analytical and process-oriented 
• A desire to incorporate feedback and personally grow as a team member 
• Experience with Jira and salesforce is highly preferred 

Technologies We Use 

• Jira 
• Confluence 
• Zendesk 
• TextExpander 
• Salesforce

Work from office expectations: This role requires you to operate from office all 5 days in a week.

Diversity & Inclusion: 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email heena.mehta@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements. 

Navan has transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Staff Engineer in the Flights group, you will play a crucial role in architecting and delivering the next-generation flight platform, which serves as the company’s flagship product and drives the majority of our global business. Operating at high scale, you will tackle highly complex problems and collaborate closely with a broad array of stakeholders, including fellow engineers, product managers, designers, and business leaders worldwide. As part of a global, cross-functional team, you’ll contribute to a core product used by enterprises around the globe, ensuring our solutions have far-reaching impact and maintain Navan’s leadership in the market.

What You’ll Do

• Drive Large-Scale Architecture & Technical Vision: Lead the design and evolution of scalable, high-performance architectures and core services at the heart of our flagship, global platform. Set the technical direction and orchestrate cross-team initiatives to address highly complex and mission-critical challenges that shape the company’s most impactful product.
• Deliver High-Impact Solutions: Own the delivery of key product features and foundational services that power the core business. Work closely with a diverse group of stakeholders to ensure new capabilities deliver meaningful outcomes for the global customer base.
• Lead Through Influence & Mentorship: Act as a technical leader and mentor, inspiring excellence in engineering teams through best practices in system design, code quality, performance, reliability, and scalable architecture. Foster adoption of new technologies and cultivate a culture of continuous improvement.
• Ensure Operational Excellence: Champion product and system quality, including hands-on involvement in feature monitoring, performance analysis, and rapid issue resolution post-launch. Proactively plan for scalability and optimize for long-term reliability and maintainability.
• Collaborate Across Boundaries: Drive technical alignment and deep collaboration across multiple teams and domains, navigating business and technical complexity to deliver cohesive solutions for a flagship global product.

What We're Looking For:

• 7+ years of experience building and scaling complex systems in fast-paced, high-growth, or large-scale environments
• Proven technical leadership on flagship or large-scale consumer-facing products
• Proven ability to not only lead technical projects but also to guide the growth of other engineers and champion a healthy, collaborative team culture
• Expert-level proficiency with Java and Spring Boot, including JVM optimization and performance tuning
• Deep experience in system and API architecture for distributed, microservices-based systems, including hands-on work with AWS or similar cloud platforms
• Demonstrated ownership through delivery of production-quality code with robust testing, monitoring, and documentation
• Effective collaboration with global, cross-functional stakeholders
• Track record of evaluating and adopting emerging technologies
• Domain knowledge in the travel industry (flights, bookings, inventory management) is a strong plus
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent work experience

Senior Software Engineer  -  Senior Machine Learning Platform

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5 - 7 years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

What You Will Be Doing

We are seeking a proactive and hands-on IT Operations & Network Security Specialist to manage and maintain our on-site IT environment. This role is responsible for ensuring reliable network connectivity, endpoint management, IT asset lifecycle control, and secure day-to-day IT operations. The ideal candidate will bring strong technical expertise, a problem-solving mindset, and a security-first approach to maintaining stable and efficient IT infrastructure.

Key Responsibilities

IT Operations & User Support:

• Provide Tier 2/3 technical support for infrastructure and system-related issues
• Manage escalated incidents and ensure resolution within defined SLAs
• Maintain IT documentation including SOPs, network diagrams, and operational logs
• Support system upgrades, maintenance schedules, and infrastructure improvements

IT Asset & Endpoint Management:

• Maintain accurate inventory of hardware and software assets
• Oversee procurement, configuration, deployment, and decommissioning of IT devices
• Ensure endpoints are secured with appropriate patching and antivirus tools
• Support onboarding and off-boarding processes including access provisioning and device allocation

Security & Compliance Support:

• Implement IT controls aligned with internal security policies and industry standards
• Support audit readiness and compliance documentation
• Manage vulnerability assessments and patch management processes
• Stay updated on emerging threats and recommend proactive security improvements

Network & Infrastructure Management:

• Manage and maintain office network infrastructure including switches, routers, firewalls, structured cabling, and patch panels
• Configure and monitor LAN/WAN, VLANs, ACLs, NAT, and traffic management
• Deploy and optimize enterprise Wi-Fi networks with secure authentication protocols
• Troubleshoot and resolve connectivity, bandwidth, and latency issues
• Coordinate with ISPs and vendors to ensure high network uptime

Firewall & Security Administration:

• Administer enterprise firewall solutions and maintain security policies
• Monitor firewall logs, VPN access, and network traffic
• Conduct periodic security audits, rule reviews, and patch updates
• Respond to and mitigate network security incidents

Required Qualifications

• Bachelor’s degree in IT, Computer Science, or related field
• 5+ years’ experience in IT operations, infrastructure, and network administration
• Strong knowledge of LAN/WAN, firewalls, VPNs, Wi-Fi, and endpoint management
• Experience managing on-site IT infrastructure in multi-user environments

Preferred Qualifications

• CISM / CISSP / CompTIA Security+ certification
• CCNA / CCNP certifications
• Microsoft Azure Administrator or related certifications

Key Competencies

• Strong troubleshooting and analytical skills
• SLA-driven and proactive mindset 
• Effective communication across technical and non-technical teams 
• Strong documentation and organizational skills 
• Ability to manage multiple priorities in a dynamic environment 

Work Environment

• On-site role
• Alternate Saturday working schedule
• Availability for after-hours maintenance or incident response as required

Job Title

Market Data & Research Analyst

A Career with Point72’s Market Data & Research Finance team

The Finance team provides a broad range of timely, accurate, relevant, and objective financial information, advice, and services to its business partners, with commitment to the highest professional and ethical standards. Our team offers a dynamic and collaborative environment where our colleagues can learn at a fast pace and are rewarded with advanced opportunities both within Finance and across the firm.

MDR Finance is responsible for providing day-to-day administrative and accounting support in the management of the firm’s market data and research spend. The team is responsible for maintaining all inventory of market data services in the firm’s inventory database and allocating and recording all associated expenses. MDR Finance reconciles and processes all market data invoices and works with vendors to resolve discrepancies. The team is also responsible for managing procurement of certain market data services. Finally, the group manages internal and external reporting, budgeting, and project initiatives.

What you’ll do

• Review, research, and reconcile market data invoices
• Maintain inventory and cost allocations in the firm’s market data inventory management database (Optimize SPEND)
• Provide support to Market Data business analysts in partnership with Compliance, Legal, and other various internal departments
• Support monthly close processes
• Oversee finance and administration relationship with vendors, including exchange reporting and vendor onboarding controls
• Oversee procurement of certain market data services
• Identify ways to automate and streamline market data processes
• Maintain oversight of soft dollar and sales/use tax policy and administration
• Assist with budgets, ad hoc reporting, and special projects

What’s required

• Accounting or finance degree
• 1-3 years’ experience in an accounting, finance or market data environment
• Strong analytical ability, familiarity with data analysis and database tools is important
• Experience with Excel
• Previous experience in market data, accounting, accounts payable, or account management
• A detail oriented team player who has genuine interest in market data within an asset management environment
• Excellent verbal and written communication skills
• Ability to multi-task and prioritize both volume and deadline driven responsibilities
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

Desired Skills & Experience 

• 4 - 5+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5+ - 8+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

We are looking for a Senior NetSuite Developer to design, build, and enhance solutions within our ERP ecosystem. In this role, you will play a hands-on part in the development, customization, integration, and optimization of our NetSuite platform. You’ll partner closely with cross-functional teams across Finance, Operations, and Business Applications to create scalable and automated solutions that support our rapid growth.

Key Responsibilities

• Develop, test, and maintain custom scripts using SuiteScript 2.0 (and 1.0 where necessary) for automation, validation, and system extension.

• Build and optimize SuiteFlows, RESTlets, SuiteTalk APIs, and custom records to streamline operational and financial processes.

• Support configuration, customization, and administration of NetSuite modules, including ARM, SuiteBilling, Inventory, and Procurement.

• Create and maintain saved searches, dashboards, KPIs, and reports for business users and leadership visibility.

• Participate in integration efforts between NetSuite and third-party platforms such as Salesforce, Stripe, banks, and BI tools via middleware (e.g., Boomi, MuleSoft).

• Perform impact analysis and testing for system upgrades, new releases, and patch deployments.

• Collaborate with analysts, architects, and end users to gather requirements and translate them into scalable technical solutions.

• Write and maintain technical documentation, including design specs, test plans, and deployment runbooks.

• Apply best practices for development, testing, DevOps, and change management in NetSuite environments.

Qualifications

• 5+ years of NetSuite development experience with a strong technical foundation.

• Proven expertise in SuiteScript 2.0, SuiteFlow, SuiteTalk, saved searches, workflows, and RESTlets.

• Experience with NetSuite APIs (REST/SOAP) and middleware integration tools (Boomi, MuleSoft, Celigo, etc.).

• Deep understanding of key NetSuite processes such as Order-to-Cash, Procure-to-Pay, and Subscription Billing.

• Strong problem-solving skills and ability to independently drive complex technical projects.

• Excellent written and verbal communication skills; able to explain technical details to non-technical users.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.

Preferred Qualifications

• NetSuite Certifications: SuiteFoundation, SuiteCloud Developer, or Administrator.

• Experience with NetSuite ARM (Advanced Revenue Management) and SuiteBilling.

• Knowledge of NetSuite OneWorld (multi-entity, multi-currency, global tax setup).

• Exposure to Salesforce or other CRM integrations with NetSuite.

• Familiarity with SaaS models: usage-based billing, subscription management, and revenue recognition.

• Understanding of SOX compliance and controls in a public company.

• Experience working in Agile/Scrum environments and collaborating in cross-functional squads.

• Ability to mentor junior developers and contribute to code reviews and architecture discussions.

Job Description  

TRG Screen is seeking a Market Data Operations Analyst to join our dynamic Managed Services team. In this role, you will be responsible for supporting the Market Data Team Lead in managing market data inventory, invoice processing, and client data.   

You will contribute to process improvement initiatives and provide analytical support to the team. This person will play a crucial role in maintaining market data accuracy, ensuring efficient processes, and supporting the team in delivering exceptional service.  

Responsibilities  

• Maintain and update market data inventory records.  

• Process market data invoices and reconcile discrepancies.  

• Assist in the development and maintenance of client-specific documentation.  

• Contribute to data analysis and reporting as required.  

• Support the team in implementing process improvements and automation.  

• Provide excellent client service and support.  

Qualifications and Experience  

• 6 - 10+ years of experience in market data management , market data operations or a related field. 

• Bachelor's degree in finance, economics, or a related field preferred.  

• Experience using market data management tools such as Bloomberg, Refinitiv or MDSL is ideal. 

• Strong attention to detail and accuracy.  

• Proficiency in data analysis tools and Excel.  

• Excellent organizational and time management skills.  

• Good communication and interpersonal skills.  

Location: This is a hybrid position based out of Bangalore, India. 2+ days a week in office.

Armis is making a major dent in the cybersecurity market. Joining the Armis family means working with dedicated individuals on a mission to enable large organizations to benefit from the latest connected devices without fear of compromise from a cyber attack. Armis is the leading agentless device security platform purpose-built to protect the world of unmanaged and IoT devices - providing passive, real-time, and continuous asset inventory, risk management, and detection & response to prevent cyber attacks from disrupting and compromising a business.

The Technical Support Team is at the heart of impacting and ensuring clients use the Armis products effectively. Supporting our customers to solve their challenging technical security problems is critical to achieving our mission. The technical support team does this by working with our customers to offer professional and proactive deescalation for their complex technical issues. The team collaborates and works hand in hand with the Operations, R&D teams, Solution Architects, Product, Customer Success, and other teams to ensure seamless onboarding, deployment, and on-going development of our customers.

What you'll do:

Our Tier 2 Technical Support Engineer will provide second level support with a focus on English-speaking, Global customers. You’ll help pave the way as the knowledge source to our growing customer base, as you will work to resolve our customers’ most pressing technical issues. You will apply your creativity and innovative ideas that best support and create a lasting experience for our customers.

As part of your day-to-day, you’ll take ownership of customer cases and troubleshoot customers’ issues. You will support our customers in making the most of our products. You will be taking on projects either within/with other teams to create a company-wide impact.

What we expect:

• At least 2 years of experience in a similar role
• Industry experience in Cyber Security, particularly network security or application security is required
• Experience with enterprise customer accounts is required 
• Technical networking knowledge in TCP/IP and the application layer
• Technical experience supporting Linux-based products
• Composing SQL queries and working with Databases
• Working with Docker/Kubernetes-based environments is preferred
• Experience with Scripting languages (Bash, Python or equivalent) is preferred
• BS degree in CS or equivalent is preferred
• Enjoy working with customers using excellent communication and problem-solving skills
• Bonus: experience with ServiceNow

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The Opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The Role  

As a Senior QA Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ years of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role & Responsibilities:

• Experise SIOCS (V23+) Functional Testing: Conduct in-depth functional testing across all Oracle SIOCS modules, including but not limited to inventory
• Plan, design, and execute functional, regression, mobile, cross-browser, and API tests.
• Develop and maintain test cases, test plans, and documentation.
• Work closely with developers and product owners to understand requirements.
• Validate releases across major browsers and mobile platforms.
• Report testing progress, risks, and escalations in time.
• Contribute to process improvements and mentor junior testers.

Must Have

To be considered for this role, you must meet the following essential qualifications: 

• Education: A Bachelor's or Master’s degree in computer science, Engineering, or a related technical field is typically required.
• Strong understanding of software testing practices.
• Deep understanding of Oracle SIOCS (V23+) functionalities and retail inventory operations.
• Hands on experience on Oracle Xstore (V23+)
• Cross-browser / cross-platform testing experience.
• Mobile UI/functional testing.
• API testing (Postman , SOAP UI or equivalent).
• Agile methodology exposure.

Good to Have

• Jira–Zephyr / Xray experience.
• SQL knowledge
• Java knowledge.
• Selenium automation skills.
• Experience building/enhancing automation frameworks.

Soft Skills

• Good client-facing and communication skills.
• Strong analytical and problem-solving abilities.
• Ability to multitask and work independently.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 The Benefits  

This is a Full-Time position based in Bengaluru.

Beyond a competitive compensation package, we offer: 

• Flexibility, with hybrid work options (country-dependent) 
• Learning and development, with access to cutting-edge tools, training and industry experts.

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The Role  

We are looking for a Fluent OMS Developer to design, configure, and implement order orchestration, fulfillment, and inventory workflows using Fluent Commerce Order Management System. The role focuses on event-driven order lifecycles, integrations, scalability, and business rules, supporting enterprise commerce ecosystems.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Key Responsibilities

• Design and implement order orchestration flows using Fluent OMS
• Configure order lifecycle, fulfillment, routing, split, and cancellation rules
• Implement inventory visibility, ATP/ATS, and sourcing logic
• Develop and customize Fluent workflows, rules, and policies
• Build and maintain event-driven integrations with commerce platforms (SAP Commerce, Salesforce, Magento, etc.)
• Integrate with ERP, WMS, TMS, payment, and logistics systems
• Configure store fulfilment, ship-from-store, click & collect, and returns
• Develop and consume APIs and webhooks
• Support cloud deployments, environments, and release cycles
• Troubleshoot order and fulfillment issues; provide L3 production support
• Collaborate with architecture, commerce, DevOps, and QA teams
• Prepare technical documentation and solution designs
•  

Required Skills & Experience

• 3+ years of experience working with Fluent Commerce OMS
• Strong understanding of order management concepts:
  • Order lifecycle
  • Fulfillment orchestration
  • Inventory management
  • Returns & exchanges

• Hands-on experience with Fluent rules, workflows, and events
• Experience with REST APIs, Webhooks, and JSON
• Solid understanding of event-driven and microservices architectures

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a fulltime position based in Bengaluru.

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

👨‍💻 The Role

As a Staff Engineer at Headout, you will drive architectural excellence and technical strategy across multiple product engineering pods. You'll solve some of our most complex, high-impact engineering challenges: designing very low-latency systems that power dynamic pricing strategies, processing large-scale inventory data across tens of thousands of products, and managing vendor ecosystem coordination spanning almost half a million vendors growing everyday. Beyond building systems, you'll be a force multiplier for technical excellence, partnering with Engineering Managers to eliminate technical debt, improve deployment stability, and build resilient system boundaries that allow our teams and business to scale sustainably. Your work will shape how we architect systems for the next phase of growth.

🤩 What Makes This Role Special?

• Large-Scale System Design: Design very low-latency systems solving critical business challenges: dynamic pricing strategies, large-scale inventory data processing across tens of thousands of products, and vendor ecosystem management spanning almost half a million vendors. See your architecture impact millions of travelers in real-time.
• Strategic Technical Debt Reduction: Lead systematic reduction of technical debt across pods, reshaping system architecture to improve deployment stability, reduce operational complexity, and enable teams to scale with confidence. This is career-defining work that prevents future chaos.
• Architectural Ownership Across Boundaries: Own architectural decisions that span multiple pods and teams. Guide the design of resilient, high-availability systems without needing direct authority—influence through technical excellence and clear thinking.
• Technical Excellence Meets Business Impact: Partner closely with Engineering Managers to balance technical excellence with delivery velocity. Influence critical decisions on architecture trade-offs, ensuring we build for both today's needs and tomorrow's scale.
• Design Leadership & Mentorship: Elevate engineering standards across your pod ecosystem through design reviews, code reviews, and mentorship. Shape how systems are built and help other engineers grow as technical thinkers.
• Profitable, Sustainable Growth: Work on systems directly powering millions of travelers worldwide in a profitable, bootstrapped company. Your architectural decisions have immediate business impact—no endless VC burn, real product-market fit.
• Modern Distributed Systems Stack: Build with cutting-edge technologies solving real distributed systems challenges: Kafka for event-driven architectures, Kotlin and Spring Boot for backend excellence, PostgreSQL and MongoDB for complex data models, and AWS for cloud-native infrastructure.

💝 What Skills & Experience Do You Need?

• 7+ years of software development experience with at least 5+ years in backend systems and distributed architectures. Prior experience mentoring engineers and driving technical initiatives across organizational boundaries without direct authority.
• Deep expertise in backend technologies: Spring Boot, Kotlin, and Java. Strong foundation in distributed systems concepts (eventual consistency, scalability, fault tolerance, high availability, CAP theorem trade-offs) with proven ability to design systems at scale.
• Hands-on experience with modern distributed tech stack: Kafka or similar event-driven architectures, relational databases (PostgreSQL, MariaDB), NoSQL systems (MongoDB), Redis for caching, and AWS cloud infrastructure. Able to make informed architectural trade-offs across the full stack.
• Exceptional problem-solving skills with focus on performance, reliability, and scalability. Strong commitment to code quality, testing practices, and engineering standards. Drive adoption of best practices and raise the bar for how systems are built.
• Ability to communicate complex technical concepts clearly to both engineers and non-technical stakeholders. Can articulate trade-offs, justify decisions, and make technical strategy accessible.
• Collaborative mindset with high agency and ownership mentality. Comfortable working across team boundaries, influencing without direct authority, and taking initiative on technical challenges.
• Growth mindset, grit, and resilience in fast-paced environments. Excited about continuous learning and staying current with emerging technologies. Able to navigate ambiguity, handle complex stakeholder situations, and maintain focus on long-term technical vision.

👨‍💻 The Role

As a Staff Engineer at Headout, you will drive architectural excellence and technical strategy across multiple product engineering pods. You'll solve some of our most complex, high-impact engineering challenges: designing very low-latency systems that power dynamic pricing strategies, processing large-scale inventory data across tens of thousands of products, and managing vendor ecosystem coordination spanning almost half a million vendors growing everyday. Beyond building systems, you'll be a force multiplier for technical excellence, partnering with Engineering Managers to eliminate technical debt, improve deployment stability, and build resilient system boundaries that allow our teams and business to scale sustainably. Your work will shape how we architect systems for the next phase of growth.

🤩 What Makes This Role Special?

• Large-Scale System Design: Design very low-latency systems solving critical business challenges: dynamic pricing strategies, large-scale inventory data processing across tens of thousands of products, and vendor ecosystem management spanning almost half a million vendors. See your architecture impact millions of travelers in real-time.
• Strategic Technical Debt Reduction: Lead systematic reduction of technical debt across pods, reshaping system architecture to improve deployment stability, reduce operational complexity, and enable teams to scale with confidence. This is career-defining work that prevents future chaos.
• Architectural Ownership Across Boundaries: Own architectural decisions that span multiple pods and teams. Guide the design of resilient, high-availability systems without needing direct authority—influence through technical excellence and clear thinking.
• Technical Excellence Meets Business Impact: Partner closely with Engineering Managers to balance technical excellence with delivery velocity. Influence critical decisions on architecture trade-offs, ensuring we build for both today's needs and tomorrow's scale.
• Design Leadership & Mentorship: Elevate engineering standards across your pod ecosystem through design reviews, code reviews, and mentorship. Shape how systems are built and help other engineers grow as technical thinkers.
• Profitable, Sustainable Growth: Work on systems directly powering millions of travelers worldwide in a profitable, bootstrapped company. Your architectural decisions have immediate business impact—no endless VC burn, real product-market fit.
• Modern Distributed Systems Stack: Build with cutting-edge technologies solving real distributed systems challenges: Kafka for event-driven architectures, Kotlin and Spring Boot for backend excellence, PostgreSQL and MongoDB for complex data models, and AWS for cloud-native infrastructure.

💝 What Skills & Experience Do You Need?

• 7+ years of software development experience with at least 5+ years in backend systems and distributed architectures. Prior experience mentoring engineers and driving technical initiatives across organizational boundaries without direct authority.
• Deep expertise in backend technologies: Spring Boot, Kotlin, and Java. Strong foundation in distributed systems concepts (eventual consistency, scalability, fault tolerance, high availability, CAP theorem trade-offs) with proven ability to design systems at scale.
• Hands-on experience with modern distributed tech stack: Kafka or similar event-driven architectures, relational databases (PostgreSQL, MariaDB), NoSQL systems (MongoDB), Redis for caching, and AWS cloud infrastructure. Able to make informed architectural trade-offs across the full stack.
• Exceptional problem-solving skills with focus on performance, reliability, and scalability. Strong commitment to code quality, testing practices, and engineering standards. Drive adoption of best practices and raise the bar for how systems are built.
• Ability to communicate complex technical concepts clearly to both engineers and non-technical stakeholders. Can articulate trade-offs, justify decisions, and make technical strategy accessible.
• Collaborative mindset with high agency and ownership mentality. Comfortable working across team boundaries, influencing without direct authority, and taking initiative on technical challenges.
• Growth mindset, grit, and resilience in fast-paced environments. Excited about continuous learning and staying current with emerging technologies. Able to navigate ambiguity, handle complex stakeholder situations, and maintain focus on long-term technical vision.