About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.

Open Problem

The state of the art is not good enough. That is not a gap in execution. It is a research frontier.We are building ML systems across three unsolved problem areas.

Integrity: detecting fraud and anomalous behavior across heterogeneous, adversarially non-stationary signals.
Evaluation: measuring technical skill in a world where AI writes the code, and the old proxies no longer hold.
Chakra: an autonomous AI interviewer that conducts, adapts, and evaluates technical interviews end to end. 

Each of these problems is hard in a different way. None of them have clean existing solutions to fine-tune from. The person we are hiring will define what good looks like, not inherit it.

What you will do

• Design and ship production ML systems across integrity, evaluation, and autonomous interview domains.
• Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
• Build evaluation infrastructure and benchmarking pipelines that give real confidence in what ships.
• Define the architecture and production bar for new signal categories from scratch.
• Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.

Who you are

• 4+ years building and shipping ML systems that run in production and hold up under pressure.
• Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
• Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
• Python is your primary language and the full stack from data pipelines to model serving is comfortable territory.
• The bar you hold yourself to is higher than the one the market has set.

Even better if you have

• Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
• LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
• Background in adversarial ML, fraud detection, or anomaly detection.
• Publications or open-source contributions in detection, robustness, or evaluation methodology.

You will thrive here if

• Messy, undefined problems are more interesting to you than optimizing within clean ones.
• Ambiguity energizes you, especially when the right framing is itself part of the work.
• Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
• Defining what a system should be is more compelling than maintaining what already exists.

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

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. 

Narvar is Growing! We are looking for a high-potential B.Tech graduate with a strong foundation in Artificial Intelligence and process automation to join our team as an AI Consultant for a 12-month engagement. You will work directly on high-impact projects that use AI to automate and transform our HR and Finance functions.

This is a senior internship role with real ownership and accountability. You will be expected to independently drive projects end-to-end — from understanding the problem, designing the solution, building and testing it, and handing it over to business teams. You will work closely with senior HR and Finance leaders, and your output will directly affect how hundreds of employees experience these functions.

Given the compensation and duration, we expect candidates who can demonstrate either strong academic performance in AI/ML, prior projects, or hands-on experience with AI tools. Fresh thinking combined with technical seriousness is what we are looking for.

Day-to-day

HR Projects

Chatbot & Knowledge Management

• Build and maintain an AI-powered HR chatbot that answers employee questions about policies, leave, payroll, and benefits
• Design and test conversation flows for the chatbot — writing instructions, testing responses, and continuously improving accuracy
• Help digitise and organise HR policy documents so the AI can read and reference them correctly
• Analyse common employee queries to identify gaps in HR documentation and recommend content updates

HR Operations Automation

• Automate repetitive HR tasks such as leave tracking, onboarding checklists, exit checklists, and document collection using appropriate tools
• Build AI agents that monitor, update, and distribute HR dashboards to Executives and Managers — reducing manual reporting effort
• Design automated workflows that surface key HR metrics (headcount, attrition, leave utilisation) to the right stakeholders at the right time

Performance Management Automation

• Automate performance review cycle processes — reminder workflows, form collection, status tracking, and escalation nudges
• Build tools to aggregate and visualise performance data for managers, removing manual consolidation from spreadsheets
• Design AI-assisted pipelines to flag review completion rates, identify bottlenecks, and generate summary reports for HR leadership

Talent Acquisition & Recruitment

• Build dashboards and automated reports tracking talent acquisition metrics — pipeline volume, source effectiveness, time-to-offer, and offer acceptance rates
• Design AI-assisted application review workflows to help the recruitment team prioritise and triage high volumes of applications faster
• Automate candidate communication touchpoints such as acknowledgement emails, status updates, and interview scheduling reminders
• Create tools that surface hiring funnel analytics to Hiring Managers and HR leadership in real time

Finance Projects

• Automate routine finance workflows such as invoice processing, expense categorisation, and reimbursement tracking
• Build simple AI-assisted tools to flag anomalies or inconsistencies in financial data
• Create automated reports and dashboards using Google Sheets or similar tools, reducing manual data entry
• Assist in mapping existing manual finance processes and proposing AI-based alternatives
• Test and document automation tools before they are rolled out to the finance team

What we’re looking for

• B.Tech degree in Computer Science, AI/ML, Data Science, Electronics, or related branch — 2024 or 2025 pass-out
• Demonstrable hands-on experience with AI tools — projects, hackathons, internships, or self-built tools all count
• Working knowledge of Python — able to write scripts, use libraries, and debug independently
• Strong understanding of at least one AI/ML concept: LLMs, NLP, classification, automation pipelines, or similar
• Comfortable working with Google Workspace (Docs, Sheets, Drive) and cloud-based tools
• Excellent written communication in English — you will be writing specifications, documentation, and chatbot content
• Ability to manage your own work, meet deadlines, and proactively communicate blockers

Bonus points

• Experience with LLM APIs — OpenAI, Anthropic Claude, or Google Gemini
• Prior internship or freelance project involving AI, automation, or data — even if short
• Familiarity with no-code/low-code tools: Zapier, Make, Botpress, Flowise, or similar
• Basic understanding of HR or Finance workflows from coursework, projects, or prior exposure
• A GitHub profile, portfolio, or any public evidence of what you have built
• Experience with prompt engineering, RAG pipelines, or building chatbots

What you will earn

• By the end of this internship, you will have hands-on experience that most fresh graduates do not get from classroom learning alone:
• How to build and deploy a working AI chatbot using real enterprise tools
• How to design automated workflows that replace manual, repetitive tasks
• How to work with HR and Finance stakeholders to understand their pain points and translate them into technical solutions
• Practical exposure to AI tools, APIs, and no-code platforms used in Indian companies
• How to document, test, and hand over a technical project to a non-technical team
• Real experience you can put on your resume and explain confidently in interviews

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-PR1

#LI-Remote

 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 

The Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.

As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.

This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.

What You Will Do

• Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.

• Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.

• AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.

• Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.

• Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.

• Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.

• Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.

• Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.

Basic Qualifications

•  Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.

• 8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).

• Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.

• Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).

Preferred Qualifications

• Advanced Degree: Master’s or PhD in a relevant technical field.

• AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.

• Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).

• Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.

• Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).

• MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.

• Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.

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/ 

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 Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.

As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.

This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.

What You Will Do

• Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.

• Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.

• AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.

• Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.

• Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.

• Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.

• Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.

• Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.

Basic Qualifications

•  Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.

• 8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).

• Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.

• Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).

Preferred Qualifications

• Advanced Degree: Master’s or PhD in a relevant technical field.

• AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.

• Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).

• Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.

• Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).

• MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.

• Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.

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/ 

Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

#P22115_3060755
#LI_Hybrid_Bengaluru

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24589_3405679

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24588_3405678

Get to know Okta

Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box — we're looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We're building a world where Identity belongs to you.

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to "level up the tech stack and level up the people stack" via both technical contributions and partnerships and mentoring.

The Role

Auth0 is a developer product at its core — and increasingly, the developers building with us aren't just humans. AI agents are now a first-class consumer of our SDKs, APIs, and documentation.

This role owns the architectural vision for how Auth0 is experienced across three dimensions: DX (Developer Experience — how human developers build with Auth0), UX (User Experience — how users experience Auth0 products), and AX (Agentic Experience — how AI agents interact with and build on Auth0). 

You'll work across our SDK ecosystem, public APIs, documentation, and product surfaces to ensure that every touchpoint is consistent, delightful, and easy to build on — whether the builder is a human or an agent.

You'll also contribute directly to how we build internally: creating the skills, guardrails, and patterns that our own in-house agents use, ensuring that agent-assisted development at Auth0 produces the same high-quality, consistent output as human-led development.

What you'll be doing

• Define and drive the architectural vision for DX, UX, and AX across Auth0's public products, SDKs, and APIs
• Identify and address inconsistencies across Auth0's product surfaces, establishing patterns and standards that make the experience feel unified and intentional
• Architect and contribute to the SDK and API design layer, ensuring our developer-facing interfaces are ergonomic, consistent, and built for both human and agent consumers
• Design and build agent skills, guardrails, and contextual tooling (MCP servers, SKILL.md, llms.txt, structured documentation) that enable agents to build correctly with Auth0 
• Embed within Engineering teams for large initiatives, providing architectural guidance and lighter-touch direction for smaller efforts
• Partner closely with the Design team as a key stakeholder, ensuring engineering implementation reflects and reinforces the product's UX direction
• Contribute to Auth0's Developer Experience Principles in practice — not just as guidance, but through hands-on implementation that raises the bar 
• Lead by doing: reviewing, prototyping, and contributing code across SDKs, tooling, and documentation systems
• Participate in our Engineering Leadership Team with other architects, directors, and executives
• Mentor and uplevel engineers across the organization on experience-focused architecture

What you'll bring to the role

• Experience : 15 to 20 year .
• Deep experience designing developer-facing products: SDKs, APIs, CLIs, documentation systems, or developer portals
• A strong point of view on what great DX looks like — and the ability to identify, articulate, and fix where it falls short
• Familiarity with the emerging AX space: agent-readable documentation formats, MCP servers, agent skills, and how AI agents consume APIs and tooling auth0.com
• Knowledge of Identity protocols such as OAuth, OIDC, and SAML, and how they surface in developer-facing products
• Experience working across multiple product surfaces to drive consistency — you've seen what fragmentation looks like and know how to fix it
• Hands-on coding ability: this is not a purely advisory role; you'll be expected to build, prototype, and contribute directly
• Very strong written and verbal communication skills, with the ability to influence engineers, product managers, and designers
• Ability to drive technical decisions to conclusion while balancing quality, velocity, and pragmatism
• Excellence at creating clarity and alignment across teams without direct authority

Extra credit:

• Experience contributing to or maintaining open source SDKs or libraries
• Familiarity with structured content and documentation systems designed for LLM consumption (llms.txt, OpenAPI, structured changelogs)
• Experience with frontend or full-stack development, particularly in the context of developer tooling or product surfaces like Universal Login

#LI-Hybrid 
#P24597_3406311

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P25153_3431422
#Linkedin_Hybrid

Position Summary

Arcesium seeks an experienced Data Scientist professional to join our Business Operations team within the Client and Partner Development (CPD) organization. The ideal candidate will be comfortable working across large volumes of varied datasets spanning pricing, headcount, market research, commercial performance, and translating that data into the models, frameworks, and insights that drive decision-making. Beyond building models and reporting on data, this person will be expected to draw principled conclusions from their analysis and present clear, strategic recommendations to senior leadership. You will also play an active role in identifying AI-driven solutions that improve how the team works and be a part of AI strategy for CPD. You will collaborate closely with global CPD teams across Sales & Partnership, Revenue Operations, Marketing, Forward Deployed, Account Management and Client Success, Service and Solutions teams to execute complex projects and help the organization scale through data-backed governance.

What you'll do:

• Identify relevant data sources and work with CPD stakeholders across functions to collect, analyze, and interpret large structured and unstructured datasets spanning domains such as pricing, headcount, market research, and operational metrics.
• Devise and apply algorithms and models to extract insight from large data stores. Conduct data and error analysis to improve model performance, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns with clear objectives in mind. Interpret outputs and draw principled conclusions rather than stopping at the analysis itself, ensuring findings inform real decisions.
• Implement analytical models and reporting frameworks end to end, from data ingestion through to leadership-ready outputs.
• Conduct what-if and scenario analyses and translate outputs into clear narratives that are actionable at the senior leadership level.
• Design and develop automation scripts and data pipelines to synthesize and structure data from diverse sources, applying critical thinking to move toward zero-touch processes and maximize end-to-end efficiency.
• Produce KPI dashboards and performance reports using historical data to surface trends and productivity insights for executive audiences, with a focus on telling the story behind the data.
• Act as the primary internal champion for responsible, practical AI use within CPD, educating stakeholders, setting best practices, and ensuring solutions are sustainable and governed.
• Develop reusable AI frameworks, prompt libraries, and automation components that scale adoption across the CPD organization and serve as a foundation for future capabilities.

What you'll need:

• Strong verbal and written communication skills, with the ability to present analytical findings clearly to senior leadership and stakeholders across functions.
• 4 to 7 years of experience in a data analytics or business operations role. Prior experience at a financial technology firm is a plus.
• Advanced proficiency in Excel including complex formulas and VBA Macro programming. Strong Excel fundamentals are a core expectation of this role.
• Proficiency in Python or similar scripting languages for data transformation, automation, and analysis.
• Working knowledge of SQL for querying and managing structured datasets.
• Experience with data visualization tools, particularly Power BI, to build dashboards and reports for executive and operational audiences.
• Experience with data mining and statistical analysis, including segmentation techniques and statistical packages for working with large datasets.
• Proven ability to conduct what-if and scenario analysis and communicate implications clearly to non-technical senior stakeholders.
• Experience tracking KPIs and relevant metrics for revenue organizations, aligned with broader organizational performance indicators.
• Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or LLM-assisted tools in a business context.
• Genuine intellectual curiosity about AI and a track record of applying it to real operational problems.
• Ability to balance medium to long-term analytical projects alongside day-to-day operational responsibilities.

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team:

As we expand our product offering as well as our footprint internationally, our transfer pricing policies and documentation will be increasingly subject to scrutiny by governmental authorities. We are seeking an experienced Transfer Pricing Specialist to ensure Stripe is compliant with the ever-changing regulations that govern transfer pricing and to bring subject matter expertise to audit defense and resolution.   

What you’ll do:

The Transfer Pricing Specialist will be a hands-on team member, who works collaboratively across the organization to develop and execute compliant and practical transfer pricing policies and processes. This individual will be an excellent communicator, with the ability to explain transfer pricing concepts in a simplified fashion to non-tax people. The ideal candidate will have experience in a high-growth technology or financial services company partnering with various functional teams and other members of the tax department.

Responsibilities:

• Partner with teams within and outside of Finance to develop, execute, and maintain transfer pricing policies for Stripe’s current and future operating structure and product offerings with a strong moral compass and integrity.  
• Dive deep into financial information in order to design, prepare, and review detailed transfer pricing calculations.
• Assist in the preparation of legal entity forecasts and support the tax provision process.  
• Navigate the transfer pricing impacts of special projects related to restructurings, acquisitions, and corporate initiatives.
• Ensure operating models are fit-for-purpose in the context of evolving global tax frameworks and transfer pricing regulations. 
• Build relationships with technology and business leaders to gain a deep understanding of their organizational structure and activities and flex transfer pricing policies in response to changes therein;
• Assist finance and tax teams in government and regulatory audits. 
• Support Stripe’s participation in tax audits, advanced pricing agreements, and competent authority proceedings. 
• Prepare and maintain the company’s suite of transfer pricing documentation and compliance in accordance with OECD guidelines and local requirements, ensuring efficiency and quality across a subset of assigned jurisdictions.
• Build, and/or streamline, transfer pricing models for clarity, efficiency, and ease of use.

Who you are:

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements: 

• Bachelor’s or Master’s Degree (or above) in accounting, economics, business, law, or other related fields.
• 8 + years of relevant experience
• Robust knowledge of global transfer pricing laws and regulations.
• Experience with international tax planning for a multinational. 
• Experience managing transfer pricing documentation and compliance.
• Practical experience with various transfer pricing dispute resolution tracks, including audits and advanced pricing agreement / competent authority negotiations.
• Experience with developing, maintaining, and implementing intercompany agreements.
• Knowledge of financial accounting concepts including accounting for intercompany transactions.
• Excellent written, verbal communication and presentation skills coupled with strong interpersonal and team-building capabilities across different functional areas and cultures.
• Enjoys working with, and digging into, data from multiple sources.
• Professional experience in Excel, Oracle, Smartview.
• Curiosity, empathy, and humility.

Preferred qualifications: 

• An advanced degree or professional qualification in tax, accounting, economics or law (CPA, JD, LLM).
• Experience working in a high-growth, rapidly scaling environment.
• Industry experience at a multinational organization; experience working in technology, payments, or financial services is a plus.
• Professional experience in Alteryx and/or robotic process automation software.

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 Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ 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

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

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 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.

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.

Your role

Dialpad’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems.

As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted development to improve speed and coverage.

This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.

What you’ll do

• Build, execute, and maintain UI and API automated tests (Playwright/Selenium, Java/Python)
• Perform end-to-end and regression testing, ensuring release readiness
• Own QA for assigned modules, including:
• Test planning and design
• Automation coverage and execution
• Regression sign-off
• Achieve ~70–80% automation coverage with stable, reliable test suites
• Analyze failures, identify defects, and provide clear root cause insights
• Use AI tools (Copilot, Cursor, Gemini, etc.) to generate tests, debug, and improve coverage
• Validate AI/LLM-driven features (prompt/response accuracy)
• Collaborate with engineering on debugging and fix verification
• Contribute to CI/CD pipelines (GitHub Actions)

Skills you’ll bring

• 5–8 years in QA / Test Automation
• Strong experience in Java or Python + Playwright/Selenium
• Solid understanding of UI, API, functional, and regression testing
• Experience with REST APIs, Postman, and CI/CD pipelines
• Exposure to AI-assisted coding tools (or willingness to learn)
• Strong debugging, analytical, and communication skill

Nice to Have

• Experience with VoIP, contact center, or communication platforms
• Exposure to performance or reliability testing

Tech Stack

• Languages: Java, Python
• Automation: Selenium, Playwright, TestNG, BDD
• API Testing: REST Assured, Postman
• CI/CD: GitHub Actions (GHA)
• Dev Tools: Git, GitHub, Jira

Purpose of the Job :

As members of 6sense’s Security department, the Security Engineering team protects the platform across application, infrastructure, and cloud domains. The Vulnerability Operations function ensures that vulnerabilities are identified, triaged, validated, and remediated in a consistent, timely, and risk‑based manner. Senior Security Engineers work closely with Engineering, CloudOps, Product, and GRC teams to operationalize vulnerability management processes, build automation, standardize workflows, and ensure secure-by-default practices. 

Responsibilities & Accountabilities :

• Ensure vulnerability management tools (e.g., Wiz, Invicti, Rapid7, GHAS, Ox) are correctly configured for appropriate coverage and accurate detection. 
• Perform hands-on triage, validation, and root cause analysis of vulnerabilities across AppSec, InfraSec, and CloudSec. 
• Track and report vulnerability status against SLAs, escalating to engineering owners as needed. 
• Build and maintain dashboards, filters, reports, and triage scripts to support visibility and automation. 
• Assist engineering teams in reproducing and remediating vulnerabilities, providing actionable guidance. 
• Support the bug bounty program operations (not ownership), including validation and coordination with engineering teams. 
• Conduct security reviews and threat modeling for high-risk systems or changes. 
• Participate in initiatives that holistically address systemic or multi‑domain vulnerabilities. 
• Contribute to development of automated security testing pipelines for validation of fixes. 
• Participate in on-call or off‑hours incident response related to critical vulnerabilities and time‑sensitive patches. 
• Contribute to quarterly OKRs and security engineering roadmap initiatives. 

Performance Measurement :

• Understands 6sense’s product, architecture, cloud footprint, and environment in depth. 
• Takes ownership of vulnerability triage and prioritization while escalating where required. 
• Proactively identifies and escalates AI/ML‑related vulnerabilities or misconfigurations in systems integrating LLMs or automated decisioning. 
• Meets tight deadlines and SLAs for vulnerability response and validation. 
• Maintains accurate and up-to-date triage scripts, documentation, dashboards, and workflows. 
• Participates in weekly 1:1s and skip levels; provides clear progress updates. 
• Supports security engineers and development teams with accurate, actionable analysis. 
• Effectively participates in incident response and post‑incident remediation. 

Educational and Experience Requirements :

• 5+ years of experience in security engineering across vulnerability management, AppSec, CloudSec, or InfraSec. 
• Experience with vulnerability tools (e.g., Wiz, Rapid7, Invicti, GHAS, SAST/DAST) and triage workflows. 
• Understanding of cloud security (AWS preferred) and modern microservices architectures. 
• Experience identifying and mitigating AI/ML‑related security risks, including model abuse, prompt‑injection vulnerabilities, and risks introduced by LLM‑based features. 
• Experience with scripting/automation (Python, Bash, JavaScript, etc.). 
• Experience working directly with engineering teams to address vulnerabilities. 
• Familiarity with frameworks such as OWASP, NIST, CIS Benchmarks, MITRE ATT&CK. 
• Experience with IaC security (Terraform, CloudFormation, Pulumi) preferred but not required. 

Preferred Qualifications :

• Bachelor's degree in a related field 
• Relevant industry certifications, such as AWS, CNCF, and GIAC are highly desirable 

Competencies and Behaviors :

• Establishes strong credibility with engineering partners. 
• Maintains a professional, outcome-focused demeanor. 
• Advocates for vulnerability and security best practices. 
• Works independently on complex triage and analysis tasks. 
• Manages competing priorities effectively, escalating when appropriate. 
• Communicates clearly across technical and non-technical audiences. 
• Maintains accuracy, attention to detail, and documentation hygiene. 

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

In this role, you’d be joining Stripe’s growing US State & Local Tax team. Our tax team works with Stripes across the company to develop an efficient tax structure, and we are looking for a well-rounded and seasoned tax professional to help us lead this effort.  This specific role will assist with a variety of US state sales tax compliance functions for Stripe and its many diverse offerings. 

What you’ll do

We are seeking an experienced State & Local Tax Compliance Specialist to build, improve, and maintain Stripe’s US indirect tax reporting and compliance function. This includes helping form and implement compliance processes, supporting management, and working with our indirect tax systems & compliance leads on day to day matters, and much more. You will work for a rapidly growing Company in a fast paced environment, while collaborating with numerous functional teams across our organization. You will be an excellent communicator, with the ability to explain tax technical concepts and requirements in a simplified fashion to non-tax people. 

The position will be based in Bangalore and report to the State & Local Tax Lead.

Responsibilities

• Ensure compliance with state and local sales tax rules, and other indirect tax obligations across the US.
• Manage US sales tax registrations across state and local tax authorities.
• Gather data for US sales tax audits and other indirect tax matters involving tax authorities.
• Collaborate with the international indirect tax planning team on the ongoing enhancement of the indirect tax compliance and control processes.
• Work with other tax team members and product & engineering teams to help define compliance requirements and collaborate on the design and implementation of US sales tax controls. 
• Promote indirect tax awareness and knowledge including training and liaising with business and tax partners on changes to indirect tax legislation, systems, policies, and processes.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements: 

• 4-6 years of experience in US indirect tax compliance, with experience managing large-scale tax initiatives.
• Previous in-house experience within a multinational business and either legal or accountancy firm experience.
• An understanding of US state and local indirect tax laws and regulations.
• An understanding of tax liability shifting models, including MoR (reseller), marketplace facilitator, and deemed seller.
• Exceptional time-management and project-management skills.
• Excellent verbal and written communication skills. You should be able to adjust your communication style based on your audience (users, product teams, advisors, etc.). 
• The ability to prioritize projects in a fast-changing environment.
• Previous experience in working with engineering teams in scoping and implementing tax compliance requirements.

Preferred qualifications:

• An advanced degree or professional qualification (CPA, JD or equivalent, Masters in Tax, or LLM or equivalent) in tax or law.  
• Experience working in technology, payments, or financial services.
• Experience working in a high-growth, rapidly scaling environment.
• A willingness to work with a diverse crew of tax nerds who care deeply about Stripe’s tax issues and each other.

To apply please include the following:

• LinkedIn profile and resume

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products.  We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.

What you’ll do

We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

You will:

• Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
• Partner with our recruiting team to attract and hire top talent.
• Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
• Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
• Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
• Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
• Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
• Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

We’re looking for someone who has: 

• 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
• A strong engineering background and passion for data.
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
• Thrive with high autonomy and responsibility in an ambiguous environment.
• Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.

Preferred qualifications

• Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
• Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
• Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
• Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive.

What you’ll do

You’ll lead and grow an established, high-performing engineering team within the Support Experience organization. Your job is to start with what’s been built and make it better: grow the team, elevate the technical bar, and expand the team’s impact across Stripe.

In this role, your team will build support experiences for priority user segments, solving problems such as how platforms, enterprises, and consumer users get help from Stripe. This includes implementing new API endpoints for use across multiple products, data engineering to improve our support operations with real-time insights, or building AI-enabled product experiences designed for each segment’s unique needs. You’ll lead your team to use the best tools for each job, whether that means experimental machine learning applications or proven techniques for building scalable distributed systems.

Responsibilities

• Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
• Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
• Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
• Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
• Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience
• A passion for supporting both external users and internal customers
• Successfully recruited and built great teams
• The ability to thrive with a high level of autonomy and responsibility
• The desire to encourage a healthy, inclusive work environment that’s both supportive and challenging
• Clear and persuasive writing and in-person communication

Preferred qualifications

• You have experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• You are comfortable planning in quarters, and can set a vision for several years
• You are excited about collaborating with teammates across Stripe’s organization to provide a wonderful support experience to users
• You are comfortable working with geographically distributed teams
• Experience managing multiple engineering teams

We’re hiring someone who does both — and does both at speed.

This role sits inside the Central AI Initiatives team within the Marketing Team. You will own the full loop: identify a high-impact business problem, conceive the AI-powered solution, build the production system, ship it, and own the outcome — as a single person. The problems change every few weeks as the company’s priorities shift. One month you’re building a multi-agent system for merchant risk detection. The next, you’re deploying an ops copilot that processes 20,000+ events a day. What stays constant is the expectation that you close the loop end-to-end — from a messy business brief to a live system with metrics moving — in days, not quarters. This is not a research role. It is not a PM role. It is not a data science role. It is a builder role that requires all three — simultaneously.

You Know Who You Are You have deep expertise across the full building journey:

1. Decompose business problems from first principles. When a messy brief lands, you break it into data, models, integrations, automations, and human touchpoints — and make the right call on what to build vs. buy vs. defer.
2. Design and build the full system yourself. Architecture, backend services, data pipelines, LLM orchestration, frontend — you own the spec nobody writes for you. You write production code, not demos that die after a meeting.
3. Ship to production and own the outcome. Phased rollouts, alert thresholds, business metrics. When something breaks, you fix it. When numbers are below target, you know Why.
4. Switch altitude — technical depth to C-suite context. Debug a model’s internals in the morning. Present the roadmap to leadership in the afternoon. Review legal terms for an AI partnership before end of day.
5. Multiply AI capability across the organisation. You make teams across Sales, Marketing, Risk, and Engineering better at identifying and executing AI opportunities on their own — through frameworks, reference tools, and workshops that change Behaviour.

You’ve been using AI tools for over a year — Claude Code or Cursor is your default environment, not a novelty. You orchestrate agents, build with skills and MCPs. AI assistance is muscle memory. You’re a polyglot — picking up new stacks fast because AI handles the ramp. You thrive in ambiguity and default to action.

You will be a good fit if you bring

– Founder mindset: you’ve started something (a company, a product, a team) and taken it from zero to live with your own hands. You don’t wait for specs.
– 3–5 years building software with at least 1–2 years building AI/ML-powered products in production. Depth matters more than years — the right 2-year person beats the wrong 8-year person every time.
– Full-stack capability: backend services, data pipelines (Kafka, Airflow), LLM orchestration (OpenAI, Anthropic, Gemini), frontends (React), and deployment infrastructure (GCP, Docker). You don’t wait for other teams to unblock you.
– LLM & agent depth: hands-on with multi-agent systems, RAG, prompt engineering, and production AI pipelines — not just API wrappers.
– Product instinct: you ask “why” before “how.” You can scope a business problem down to a shippable prototype and articulate business value to non-technical stakeholders.
– Speed & autonomy: you can take a problem from discovery to demo in under two weeks. You move faster than the process and create structure only where it helps.
– Influence without authority: you align stakeholders across Sales, Risk, Engineering, and Legal by being clear, credible, and fast — without having direct reports in any of those functions.

You will not be a good fit if you

You need detailed specs handed to you. You prefer deep specialisation over breadth. You’re uncomfortable with ambiguity. You optimise for code elegance over customer outcomes. You hand off after designing or after shipping. You treat “not my job” as a valid answer. You need a stable roadmap to do your best work. You still thrive living in a 2-week sprint.

What the work has looked like

Projects change frequently. Recent examples from this team:

– Browser-based AI Agent — autonomous web navigation agent that crawls merchant websites, detects payment gateways at checkout, and places test orders. Used by Risk Ops for mystery shopping and fraud detection. Headless browser + LLM-driven navigation + real-time Slack alerting.
– Ops Copilot Platform — full-stack employee activity intelligence: Rust-based macOS agents for screen OCR and audio transcription (Whisper), centralised server (Bun + Hono + PostgreSQL), React dashboard with WebSocket streaming, VLM-powered workflow extraction.
– Pre-Churn Alerting — Airflow DAGs processing risk events and merchant data to generate daily intelligence alerts delivered to Slack for proactive retention.
– Analytics Platform Rollout — end-to-end evaluation, procurement, legal approval, and org-wide rollout of PostHog as the product analytics platform. 

How to apply

We screen on one thing before anything else: evidence that you have built something technically demanding end-to-end and taken it live.
– Send a note (300–500 words) on the most technically complex system you’ve built — the problem it solved, the architecture choices, what broke in production and how you fixed it, and what you’d do differently now.
– Optionally: a link to something running in production, a GitHub repo with real commits, or a case study.

If the note shows the instincts we’re looking for, we’ll reach out within a week. The process is short: one technical problem set, two focused conversations, a final discussion with the team Lead. 

Why Razorpay

1. Scale that matters — billions of transactions, thousands of merchants. What you build goes live on India’s largest payments platform. You know within weeks whether it Worked.
2. Impact at scale — help transform India’s leading payments platform into the country’s first AI-native payments company. The problems are core: merchant growth, payment routing, revenue expansion — not peripheral. 3. Small team, real autonomy — no bureaucracy between your idea and production. Direct access to the CEO and VP Engineering. If the idea is good, it ships.

About Us

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India. Our mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. We started as a B2B payments company, and today, we process billions of dollars of payments for lakhs of businesses across India. We are the leading payments provider in the country and have been the first to bring to market most major innovations in the past 7 years. Razorpay currently processes multi-billion dollar payments on an annualised basis, touching 200Mn+ end customers through top clients like Airtel, Goibibo, Yatra, Ola, Swiggy, Zomato, Cred etc. We have raised around USD $740M+ in funding from marquee investors like GIC, Alkeon Capital, Lone Pine Capital, TCV, Sequoia Capital, Tiger Global, Ribbit Capital, Matrix Partners and many stellar angels.

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. 

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Remote India

Hello👋I am Ashish, Product Operations Lead at Kayzen, and I am now looking for a Product Analyst  to join our team 🙌

But wait, you have not heard of Kayzen before?😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options.
Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The team

The Product Analytics team sits at the intersection of data, product, business and engineering. We are a highly motivated group aligned in our quest to disrupt the multi-billion dollar ad-tech industry. You will collaborate with a carefully selected, diverse, and globally distributed team spanning customer success, engineering, data science, design, product and more.

Why This Role

As our Product Analyst, you will own the analytical layer that keeps our product honest and fast. You will pair deep product intuition with strong SQL skills and AI-accelerated workflows to diagnose issues, surface insights, and move faster than a traditional analyst role. This is not just about building dashboards — you will shape how we understand our product, automate recurring investigation work with LLM tools, and directly influence product and engineering decisions with data. If you love going deep on complex systems, debugging hard problems, and turning ambiguous data into clear action, this is your seat.

What You'll Do

Data Analysis & Insights

• Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
• Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
• Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
• Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders

Product Support & Debugging

• Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
• Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
• Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem

Automation & AI-Powered Workflows

• Leverage LLMs (GPT/Claude and similar tools) to automate recurring analyses, anomaly triage, data briefs, and BI request resolution — this is a mandatory part of how we work
• Build and maintain tools, scripts, and automated pipelines that reduce manual investigation effort and speed up response times
• Manage and resolve Business Intelligence requests; develop reusable tools to automate high-frequency reporting needs
• Contribute to internal dashboards and analytical tooling that accelerate decision-making across teams

Cross-Functional Collaboration

• Partner with engineering, data, customer success, and product teams on data-related initiatives and ad-hoc investigations
• Provide ideas and quantified feedback for product and process improvement
• Champion data quality, accuracy, and a culture of evidence-based decision-making across the organisation

Requirements

• 2+ years of AdTech industry experience in a data, analytics, or product analyst role
• Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
• Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
• Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration. 
• Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
• High attention to detail and commitment to data accuracy and quality of output
• Ability to work collaboratively in a cross-functional, globally distributed team environment
• Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
• Passion for building great products and creating excellent experiences for customers

Nice to Have

• Python / pandas for ad-hoc analyses and light automation — not required, but a strong differentiator
• Familiarity with mobile attribution and measurement (AppsFlyer, Adjust, Singular)
• Familiarity with HTML/Rich media creatives

What do we offer?

• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• Direct, day-to-day work experience with the management
• A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

Want to build the next generation of AI-powered analytics and intelligent agents for observability and security use cases? Passionate about leveraging cutting-edge machine learning, large language models, and GPU-accelerated inference to transform how organizations understand and act on their logs data? Come talk with us!

As a Senior Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, context engineering and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.

You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.

Location: Noida/ Bengaluru (Hybrid)

Responsibilities

• Design, implement, and optimize agentic AI components, including tools, memory management, and prompts.
• Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.
• Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.
• Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
• Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
• Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
• Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

Required Qualifications

• B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
• 6+ years of hands-on industry experience with demonstrable ownership and delivery.
• Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
• Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
• Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
• Experience with distributed systems and dealing with large amounts of data.
• Strong communication skills and a passion for shaping emerging AI paradigms.

Desired Qualifications

• Experience leading a team of engineers.
• Prior experience building and deploying AI agents or LLM applications in production.
• Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).
• Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).
• Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.

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 Sumo Logic SaaS Analytics Log Platform, which 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.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

Solutions Architect

Role Overview 

As Solutions Architect you operate at the intersection of deep technical leadership and high-stakes client engagement. You will: 

• Own solution architecture and technical delivery for marquee customers, ensuring JazzX’s AGI platform unlocks measurable business value. 
• Guide multi-disciplinary squads (product, research, engineering, and customer success) from discovery through full production rollout. 
• Shape platform roadmap with field feedback, driving features that accelerate time-to-value and differentiate JazzX in the market. 

You are equally comfortable white-boarding LLM retrieval strategies, optimising prompt chains, troubleshooting Kubernetes deployments, or presenting to a C-suite audience. 

Key Responsibilities 

Qualifications 

Must-Have 

• 10–12 years of software engineering experience, 5+ in staff/principal or solution-architect roles. 
• Proven record delivering large-scale, low-latency distributed systems (Python, Java, Go, or C++). 
• Hands-on with LLM / AI frameworks (LangChain, LlamaIndex, PyTorch, TensorFlow) and productionising ML pipelines. 
• Expertise integrating REST/GraphQL APIs, streaming platforms (Kafka), SQL & NoSQL stores, and vector DBs. 
• Outstanding client-facing communication, executive-level presentation, and stakeholder-management skills. 

Nice-to-Have 

• Masters or PhD in AI/Data Science/Computer Science 
• Experience shipping RAG or agent-based AI systems in regulated industries. 
• Nice to have certifications in cloud architecture, data engineering, or security (e.g., AWS SA-Pro, CKA). 
• Background in professional-services, forward-deployed engineering, or AI platform product management. 

Attributes 

• Empathy & Ownership: You listen carefully to user needs and take full ownership of delivering great experiences. 
• Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats. 
• Detail-Oriented: You care about the little things  
• Mission-Driven: You want to solve important, high-impact problems that matter to real people. 
• Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts.  

Travel:

This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 30–40% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities. 

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. 

We're looking for a strategic, hands-on Principal Product Manager to lead the vision and execution for our next-generation Voice capabilities within our CX platform. You'll build and evolve cutting-edge, AI-powered voice experiences—transforming traditional voice interactions into intelligent, automated conversations that enhance agent productivity, customer satisfaction, and operational efficiency through advanced NLP, real-time transcription, and voice AI. You'll shape the vision, align cross-functional teams, and deliver a roadmap that drives measurable business impact.

Key Responsibilities:

1. Strategic Ownership

• Define the long-term product strategy and positioning for Voice capabilities (UCaaS and CCaaS), aligned with AI-first differentiation and competitive market value
• Deeply understand user needs across contact center operations, IT leaders, developers, and end-users; incorporate voice-of-customer and competitive insights in every decision
• Partner with Finance and Sales to inform packaging, pricing, and monetization decisions for voice features (stand-alone vs. bundled) using data-driven insights

2. Execution & Delivery

• Translate strategy into a data-informed roadmap; prioritize features such as:
  • AI-Powered Transcription: Real-time speech-to-text with speaker diarization, punctuation, vertical specific grammars and multi-language support
  • Natural Language Processing (NLP): Intent detection, sentiment analysis, entity extraction, and conversation voice understanding
  • Voice AI & Automation: Conversational IVR/IVA, AI agents for self-service, voice bots with LLM integration
  • Real-Time Voice Analytics: Call monitoring, keyword tracking, compliance detection, and live agent assistance
  • Voice Infrastructure: SIP trunking, call routing, voice quality optimization, codec support, and telecom carrier integrations
  • UCaaS/CCaaS Features: Click-to-call, voicemail-to-text, call recording, conference bridging, call transfer, and omnichannel voice integration
• Collaborate closely with Engineering, Design, Data Science, and GTM teams to deliver high-impact releases; establish clear metrics that link customer outcomes to business goals
• Drive continuous iteration post-launch through telemetry, experimentation, A/B testing, and customer feedback

3. Cross-Functional Impact

• Act as a connector across Product, Design, Data Science, Engineering, and GTM to ensure cohesive delivery and alignment on vision
• Champion a culture of experimentation, learning, and accountability across teams
• Influence senior stakeholders through crisp storytelling and data-backed recommendations; translate technical voice capabilities into compelling business value

4. Technical & Domain Expertise

• Demonstrate deep understanding of:
  • Voice Technologies: VoIP protocols (SIP, RTP, WebRTC), telephony systems, PBX/softswitch architectures, audio codecs
  • AI/ML for Voice: NLP, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs, RAG (Retrieval Augmented Generation)
  • Transcription & Speech Analytics: Real-time transcription engines, speaker identification, acoustic modeling, language models
  • Contact Center Voice: ACD (Automatic Call Distribution), IVR/IVA systems, call routing strategies, CTI (Computer Telephony Integration)
  • UCaaS Platforms: Unified communications features, presence, soft phones, mobile/desktop clients, and hardware devices.
• Stay current on competitive landscape (NICE, RingCentral, Dialpad, Five9, Genesys, Twilio) and emerging voice AI technologies
• Work with ISVs, technology partners, and telecom carriers to expand voice capabilities and ecosystem integrations

Qualifications:

Required Experience & Skills

• 8+ years in SaaS Product Management, including 4+ years leading enterprise-grade contact center, UCaaS, or voice communication products
• Proven success transforming embedded voice capabilities into revenue-generating, standalone experiences that drive customer adoption and satisfaction
• Deep technical expertise in:
  • Voice communication protocols; telephony device and systems
  • NLP, speech recognition, and conversational Voice technologies
  • Contact center voice infrastructure (IVR, ACD, call routing)
  • Real-time transcription and voice analytics
• Track record of developing and executing successful product launches in competitive voice/CCaaS markets with a CX-first approach
• Strong analytical, problem-solving, and decision-making skills with data-driven approach to prioritization
• Experience managing beta programs, user feedback loops, and conducting A/B testing for voice features
• Excellent collaboration skills with ability to motivate product development teams, work effectively across functions, and lead through influence in global environments

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or similar advanced degree is a plus
• Experience with AI concepts including NLU (Natural Language Understanding), ML model training, LLM integration, and RAG architectures
• Familiarity with voice analytics, compliance requirements (PCI-DSS, HIPAA for voice), and quality standards
• Understanding of Centrex features, hosted PBX, SIP trunking, and carrier integrations
• Prior experience as a software engineer, technical lead, or solutions architect before transitioning to product management
• Knowledge of developer platforms and APIs for voice (Twilio, Vonage, RingCentral APIs)

Personal Attributes

• Proven affinity for inserting user experience first in the product design approach, especially for voice interactions
• Ability to demonstrate deep understanding of the Conversational AI (Voice/Chatbot) landscape, LLM technology, ecosystem, and evolution
• Embrace a hands-on approach, capable of navigating from high-level strategic vision to detailed execution
• Become the reference for competitive intelligence on voice offerings in the market
• Champion for voice product throughout each product's lifecycle, from strategic definition to technical design to market launch

What Success Looks Like in 12 Months

• Vision & Roadmap: A clear two-year vision and KPI-driven roadmap influencing cross-product alignment
• Customer Impact: Delivery of new AI-assisted QM/WFM capabilities adopted by at least three flagship customers with >70% engagement
• Commercial Influence: Measurable attach rates and incremental ARR growth in key regions (North America, EU, APAC)
• Operational Excellence: Instrumentation provides real-time insights into adoption, feature performance, and churn drivers
• Cross-Functional Collaboration: Strong partnerships across Product, Engineering, and GTM driving faster iteration and impact

Why Join Us

• Lead the transformation of voice communications through cutting-edge AI technology
• Work with a talented, cross-functional team passionate about building world-class CX solutions
• Shape the future of how millions of agents and customers interact through voice
• High visibility role with direct impact on company strategy and revenue
• Competitive compensation, equity, and benefits package

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success.
• Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies.
• Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type - Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security💰 - Provident Fund & Gratuity
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! 

Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage.  We also do not authorize any third parties to collect payments or sensitive information on our behalf. 

All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”.  Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent.  If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to [talent@nextiva.com]. 

We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities.

For genuine opportunities, please apply only through our official careers site: [Careers URL / Nextiva LinkedIn authentic jobs].

If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.

#LI-AK1 #LI-Onsite

About the Team

Razorpay's agentic products are scaling fast. Agent-powered onboarding, dashboard experiences, and automation workflows are live and growing, and the engineering teams building them are moving quickly. As we scale, we need shared infrastructure that lets every product team access the best model for each task without having to build routing, observability, or resilience logic themselves.

We are building an AI Inference Platform: a centralized layer that handles intelligent model routing, cost optimization, and quality observability across all of Razorpay's agentic products. The goal is simple. Product teams declare what kind of task they need done. The platform takes care of picking the right model, managing fallbacks, and tracking cost and quality. Teams stay focused on shipping features.

About the Role

As Lead AI Engineer on the platform side, you build the inference orchestration layer that sits between our product teams and their model providers. Routing, fallbacks, cost tracking, A/B testing for model swaps, and observability are all yours. Your customers are internal engineering teams, and your job is to give them a single reliable interface to every model the org uses while keeping the complexity of that routing layer off their plates.

You also own the observability and eval-in-production infrastructure: standardized tracing and cost dashboards across all agentic products, and the shadow-testing infrastructure that lets us validate model swaps safely before they reach production traffic.

What You’ll Build

• Build and operate a unified model gateway that abstracts provider complexity for product teams. Teams work with a clean interface; the platform handles routing, provider selection, and fallback logic under the hood
• Design and implement intelligent routing that matches each request to the right model based on task complexity, latency requirements, and cost targets. Not every call needs the same model
• Build resilience into the platform so provider outages, rate limits, and latency spikes are handled transparently. Agentic workflows stay up regardless of what happens upstream
• Own the observability layer across all AI-powered products: cost per call, latency distributions, token usage, and quality signals. Give product teams and leadership a clear view of how AI is performing and what it costs
• Build the infrastructure for safe model transitions: run new models alongside production, compare outputs, and roll out changes gradually with automated quality checks at every stage
• Drive continuous cost efficiency through caching strategies, request optimization, and per-team spend attribution so the org can scale AI usage without costs growing linearly with traffic

What We’re Looking For

• 5 to 8 years as a backend or platform engineer, with a track record of building API gateways, middleware, or developer platform services at scale. Strong in Go or Python
• Experience building high-availability, low-latency distributed systems: load balancing, circuit breakers, graceful degradation, retry logic, and observability using Prometheus, Grafana, OpenTelemetry, or equivalent
• Solid understanding of LLM APIs and token economics. You can design routing rules based on input/output token pricing, streaming vs. batch tradeoffs, and how prompt length affects both cost and latency
• You think in platform terms. You know the difference between building for end users and building for engineers, and you know that internal platform quality shows up in other teams’ velocity
• Familiarity with LLM orchestration and observability tooling: LiteLLM, Portkey, Langfuse, LangChain, or similar. You do not need to have used all of them, but you need to understand the landscape well enough to make good choices
• Experience with Kubernetes and distributed systems. GPU workload scheduling or ML serving infrastructure is a meaningful bonus

Why This Role is Different

• The platform you build becomes the backbone of every AI-powered product at Razorpay. Good infrastructure decisions here compound across every team and every workflow that ships on top of it
• You work on real scale from day one. The problems are concrete, the feedback loop is tight, and the impact of what you build shows up in production metrics quickly
• This role combines deep platform engineering with the emerging discipline of LLM infrastructure. It is a rare combination that puts you at the leading edge of how AI systems are built in production
• You are embedded in the decision-making, not downstream of it. You work directly with ML engineers and product teams, and your input shapes how the org approaches model selection, cost, and quality at every level
• You get genuine ownership over the architecture. This is a space where the right patterns are still being defined, and you have the scope to make meaningful design decisions rather than inherit them

Compensation & Benefits

Competitive compensation with ESOPs, comprehensive health insurance, learning and development budget, and all the perks of working at one of India’s leading fintech companies.

LLM Platform Engineer/Lead (m/f/d)

Berlin, Bangalore, Remote

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

• Handling ~2 Million Req/sec in sub-millisecond latency
• Handing & managing ~Petabytes of data
• Managing distributed systems deployed across multiple data centers
• Optimizing JVM and Linux kernel for optimal performance
• Managing our own data center spread across the globe consisting of thousand of powerful servers
• Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for an  LLM Platform Engineer  /Lead who can  evangelise AI across the company  and build the  foundational tooling, frameworks, and workflows  that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on  developer velocity, reuse, and production readiness  rather than training complex models from scratch.

Responsibilities

• Design and build  internal AI frameworks, SDKs, and shared libraries 
• Enable teams to integrate AI features with minimal friction
• Set up  standardized patterns  for using LLMs, embeddings, agents, and workflows
• Build reusable components for  prompt management, evaluation, observability, and safety 
• Define best practices for  AI usage, cost control, and reliability 
• Evangelise AI internally through documentation, examples, and hands-on guidance
• Rapidly prototype AI-powered features and turn them into reusable building blocks
• Own AI tooling from experimentation to production

Requirements

AI Tooling & Framework Experience (Core Focus) 

• Hands-on experience with  LLM APIs  (OpenAI, Anthropic, etc.)
• Experience with  RAG pipelines, embeddings, vector databases 
• Familiarity with  prompt engineering, prompt versioning, and evaluation 
• Experience with  AI orchestration frameworks 
• Understanding of  AI observability, cost monitoring, and failure modes
• You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
• Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
• Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).

Strong Engineering & Platform Skills 

• Excellent  Python  skills (required)
• Experience building  frameworks, platforms, or developer tooling 
• Strong understanding of  APIs, services, and system design 
• Writes clean, maintainable, production-grade code

Startup Mindset

• Bias for shipping and iteration
• Can translate AI complexity into simple abstractions
• Comfortable with ambiguity and rapid change
• Thinks in terms of  leverage and reuse , not one-off solutions

Less About

• Heavy model training or research
• Designing custom ML algorithms
• Academic optimization work.

Nice to have

• Experience with  agent-based systems  and tool calling
• Experience setting up  guardrails, moderation, and safety checks 
• Familiarity with  Docker, cloud infra, and CI/CD 
• Prior work in  platform teams or enablement roles

What do we offer?

• Reporting directly to Co-founder & CTO
• Direct access to top management and an extremely “visible” role
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain  and many more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

Navan has transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Senior Full Stack Engineer on the Enterprise Team, you will be a technical leader helping to build the "operating system" of our corporate travel platform. Our team owns the critical infrastructure that allows companies to function globally—managing everything from granular travel policies and dynamic approval workflows to user identity and enterprise-grade analytics.

This is a high-impact role where you will bridge the gap between complex backend logic and intuitive user experiences. You will collaborate closely with a talented team of engineers, product managers, and designers to build sophisticated configuration tools, real-time dashboards, and seamless integration flows that empower our customers to manage their travel programs at scale.

What You’ll Do:

• Design, Build, and Evolve: Architect and develop end-to-end features across the stack. You will evolve the robust Java/Spring Boot backend services that power our platform, while building the responsive frontend interfaces for our Admin and User portals.
• Build Enterprise-Grade Workflows: Create powerful backend engines and supporting UIs for complex business domains, such as configuring travel policies, visualizing approval chains, and managing user roles/permissions.
• Build Data-Driven Services: Architect and scale APIs and data services that manage high volumes of data, ensure transactional integrity, and power reporting features and seamless integrations.
• Own Features End-to-End: Take technical ownership of a problem domain, facilitating the design, development, and launch of key microservices and features that have a direct impact on our users.
• Collaborate Across Teams: Work cross-functionally with various engineering, product, and design teams to deliver complex, cross-domain features in a collaborative environment.
• Drive the Vision: Partner with engineering and product leadership to identify, plan, and execute the long-term technical vision for your domain and be a subject matter expert.
• Champion Best Practices: Contribute to a culture of technical excellence by writing high-quality, well-tested code, mentoring other engineers, and advocating for best practices in testing, monitoring, and operational reliability.

What We’re Looking For:

• 4-6 years of experience in software development, building complex systems for SaaS products or consumer-facing web applications in a fast-paced environment.
• Backend Expertise: Deep, hands-on experience in backend development using Java and Spring Boot. You should be highly skilled in data modeling, query optimization, and designing secure, scalable APIs to support enterprise-level features.
• Frontend Proficiency: Solid experience with frontend development (4+ years) using modern frameworks like React, Angular, or Vue, along with proficiency in TypeScript and managing application state.
• Systems Architecture: Extensive experience designing and implementing scalable applications across microservices, distributed systems, and cloud platforms like AWS.
• Collaborative Ownership: Demonstrates strong ownership and a collaborative mindset, with clear communication skills and a proven ability to ship production-quality code equipped with robust monitoring and documentation.
• AI-Enabled Workflow: Ability to effectively leverage AI development tools (such as GitHub Copilot, CodeGPT, Claude, and Cursor) to accelerate development and innovate on engineering workflows.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent hands-on experience.

• AI and LLM Integration: Hands-on experience building AI Agents or implementing Retrieval-Augmented Generation (RAG) patterns using orchestration frameworks like LangChain or LlamaIndex.
• Vector Infrastructure: Familiarity with vector databases (e.g., Pinecone, Weaviate, or pgvector) and experience fine-tuning prompts or managing LLM-powered services within a Java-based microservices architecture.

About the role

We are looking for a Lead Frontend Engineer to own the frontend craft for the “candidate site” or the take-home assessment product. You will work on a React/Next.js and TypeScript codebase that is required to perform reliably under real-world conditions at a significant scale. Performance, accessibility, and reliability are treated as core product attributes rather than secondary concerns because the quality of this experience directly affects whether a developer can demonstrate their true ability.

Beyond the core product, this role sits at the centre of HackerRank's AI-era shift. You will contribute to building AI-powered assistants that help candidates inside the assessment experience, and work alongside a broader engineering push to embed AI agents across the internal SDLC  engineering, QA, review, and delivery. Paid access to leading AI development tools is standard, and applied AI work here is production-bound rather than experimental.

What you’ll do

• Lead the development of intuitive, scalable user experiences across the hiring journey in close partnership with product and design.
• Architect and build reusable frontend systems and component libraries that scale across HackerRank products.
• Set and uphold high standards for performance, accessibility, testing, and overall code quality.
• Contribute to building AI-powered assistants in the candidate experience and to internal AI agents that speed up the team's engineering workflows.
• Own and continuously improve key web performance metrics such as Core Web Vitals and responsiveness.
• Collaborate cross-functionally to influence product direction and elevate user experience.
• Mentor engineers and drive end-to-end ownership of features from ideation to production.

Who you are

• An experienced frontend engineer 6–8 years of experience building production-grade frontend applications, with strong expertise in React.
• Deep knowledge of JavaScript, HTML, and CSS, with a sharp eye for detail and accessibility.
• Proven ability to design scalable frontend architectures and reusable component systems.
• Strong understanding of modern frontend tooling, bundling, and performance optimization.
• Comfortable leading projects, mentoring engineers, and collaborating with cross-functional teams.
• Hands-on with AI-native development; ideally has already built or shipped AI-powered features and uses agentic tools as a core part of the workflow.

Even better if you have

• Experience with frontend security and protecting user trust.
• Experience shipping AI-powered product features or working with LLM APIs and agentic tooling.

You will thrive in this role if

• You lead with product thinking and bring deep empathy for real customer problems.
• Turn ambiguity into clarity through structured problem-solving and crisp, high-quality execution.
• AI tools are part of your workflow - helping you move faster, solve smarter, and raise the bar on craftsmanship.

Here’s a summary of the role:

Ready to build real-world AI solutions that actually make an impact?

You’ll take cutting-edge AI and GenAI concepts—like copilots, agents, and intelligent workflows—and turn them into scalable, production-ready systems used across sales, finance, customer success, and more. If you enjoy hands-on backend engineering, working with APIs, cloud platforms, and LLMs, and transforming ideas into high-performing AI-driven products, this role puts you right at the center of innovation.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• Build and scale backend services, APIs, and integrations that embed AI/GenAI into enterprise systems (CRM, ERP, BI)
• Develop LLM-powered solutions such as RAG pipelines, copilots, agents, and automation workflows
• Take AI solutions from concept to production—design, build, test, deploy, and monitor
• Collaborate with architects and business stakeholders to turn requirements into practical AI implementations
• Create and manage data pipelines to enable reliable, high-quality AI workflows
• Ensure solutions are secure, scalable, observable, and aligned with best practices

These are the essentials you’ll need to get an interview:

• 5+ years of experience in software or solutions engineering with production systems
• Strong programming skills in Python, Java, C#, or Node.js
• Hands-on experience with APIs, integrations (REST/webhooks), and backend development
• Practical experience working with LLMs/GenAI tools (e.g., OpenAI, LangChain, or similar)
• Experience with cloud platforms (preferably AWS), CI/CD, and containerization
• Solid understanding of AI/GenAI concepts like prompt engineering, RAG, or agents
• Ability to translate technical solutions into business impact and collaborate across teams

It would be great if you had these too, but we’ll support you if you don’t:

• Experience integrating AI into CRM, ERP, or analytics platforms
• Familiarity with MLOps/LLMOps concepts such as model lifecycle and monitoring
• Exposure to machine learning or data analytics tools (e.g., Scikit-learn, dashboards)
• Experience working in global or distributed teams
• Knowledge of AI governance, security, and responsible AI practices

This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

Key Responsibilities:

• Engineering & AI: Be part of a team of backend engineers working in an agile environment, using mainly Python, while identifying opportunities to integrate AI and LLM tools to automate repetitive data mapping and vendor integration tasks.
• Collaborate: Partner with stakeholders to analyze requirements, design scalable solutions, and ensure successful implementation of core data services.
• Testing: Ensure quality releases by developing corresponding Unit Tests and Test Automations, leveraging AI-assisted testing tools where applicable to increase coverage.
• Architecture: Architect and design robust, scalable, and secure solutions for complex business needs and external data ingestion.
• Optimization: Identify performance bottlenecks and provide innovative solutions, including using AI for proactive system monitoring and anomaly detection.
• Culture: Foster a culture of learning by sharing new techniques, AI technologies, and engineering best practices.

What We Look For:

• Python Expertise: 5+ years of hands-on experience in software development using server-side and core Python technologies is a must.
• AI & Innovation: Proven experience or strong interest in integrating AI/LLM capabilities into backend workflows to improve data processing or engineering efficiency.
• Async Development: Expertise with Django Rest Framework and async development using Celery.
• Databases: Proficiency in databases such as Postgres, MySQL, etc.
• Tech Stack: Strong experience with Restful APIs, Docker, AWS, Airflow, Sentry, and OpenSearch.
• Methodology: Proficiency in Test Driven Development (TDD), Continuous Delivery, and agile development methodologies.
• Version Control: Expertise in Git and Github.
• Problem Solving: Strong problem-solving skills and ability to design solutions for complex business requirements.
• Communication: Excellent communication and collaboration skills

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

At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers. 

If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy. 

Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries.

What you’ll be doing

• Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment.
• Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI.
• Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform.
• Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale.
• Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
• Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform.
• Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

What you’ll bring to the role

• Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU.
• An engineering mindset with the competencies of an applied scientist. 
• 3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems.
• Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications.
• Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale. 
• Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
• Excellent communication, collaboration skills, and presentation skills.
• Experience with Spoken Language Understanding is a plus
• Published papers in top NLP/ NLU conferences or workshops are a plus
• Relevant open-source contributions are a plus.

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.

Title: DevOps Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

Zuora is re-architecting CPQ for the next generation—moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x).

You’ll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI—from building scalable pricing engines to embedding intelligent agents into quote workflows. You’ll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency.

About You

You’ll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You’re equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities.

You may be a great fit if you:

* Have significant experience leading backend/platform engineering teams building large-scale SaaS systems (CPQ, billing, pricing, or similarly complex domains).

* Are strong at system design, technical judgment, and organizational leadership—able to make clear tradeoffs between flexibility, correctness, and scale.

* Can bridge deterministic systems and AI-driven approaches, knowing when to apply rules vs ML/LLMs to solve real business problems.

* Thrive in environments where requirements are complex and evolving, and where you’re expected to drive both long-term architecture and near-term execution.

* Bring a track record of delivering high-impact platforms—e.g., scaling pricing systems, simplifying complex workflows, or embedding new capabilities (like AI) into core products.

* Are effective at driving cross-functional outcomes, especially across Product, Data/ML, and GTM teams.

⸻

Nice to Have

* Experience with CPQ platforms (Salesforce CPQ, Zuora CPQ, Apttus)

* Background in subscription or usage-based pricing models

* Familiarity with LLM patterns (RAG, embeddings) or production ML systems

* Experience integrating with CRM/ERP systems or financial platforms

About the Team

The CPQ Engineering team owns the systems that sit at the center of Zuora’s revenue engine—powering how deals are configured, priced, and transacted across the Subscription Economy. The team is responsible for building scalable, high-correctness platforms that connect CRM, billing, and downstream financial systems.

We work closely with Product, Data/ML, Sales/GTM, and Finance teams to ensure pricing and quoting workflows are both flexible and operationally sound. This includes deep collaboration on DealDesk workflows, pricing strategy, and embedding AI-driven capabilities directly into sales and quoting processes.

The team operates as a distributed engineering organization, with a strong bias toward design-first development, async collaboration, and clear technical ownership. Decisions are driven by data, system constraints, and long-term maintainability rather than short-term patches.

Engineers on this team gain exposure to core revenue systems, AI-driven product innovation, and cross-functional problem solving, with opportunities to expand scope across CPQ, Billing, and broader platform architecture while developing as technical and organizational leaders.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical Insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Job Title: AI Full stack developer

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

P-926

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple  ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

Agentic Engineering Team

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Five9 has led the cloud revolution in contact centers, helping organisations transition from legacy premise-based solutions to the cloud. The cloud contact center market has become the hot space for innovation in real-time communications, and is the tip of the spear for the application of Artificial Intelligence, especially Generative AI and Large Language Models (LLM). Five9 has established itself as a leader in this market and has recently launched its AI Agents, providing the next-generation of self-service and customer experience.

Five9 is establishing an Agentic Engineering team in Bangalore, India. This team will sit on the bleeding edge of AI technology, and be responsible for the development of AI Agents on top of the Five9 platform. The team will own the entire lifecycle of AI Agent development, from requirements to development to testing to deployment to ongoing maintenance and improvement. Members of the team will utilize skills in prompt engineering, prompt design, agent and multi-agent architectures, function calling, and tool definition to build best-of-breed AI agents for real-world use cases. Prior experience in AI Agent development is highly desirable but not required.

Key Responsibilities:

• responsible for the development and testing of AI Agents for B2B customer experience use cases in healthcare, financial services, retail and beyond, which will become part of the product and available to Five9 customers globally to use with their customers

• Maintain expertise – through ongoing review of academic papers and competitive analysis of vendors – in the latest-and-greatest algorithms, techniques, and architectures for AI Agent design, and apply those to build best-in-class AI Agents

• Interface with customers and customer facing teams to understand requirements and use cases for which the AI Agent needs to satisfy

• Partner with the engineering team building the AI Agent platform, providing feedback on improvements that improve agent performance and reduce time to implement

Requirements:

• 3+ years of experience in development of conversational AI applications for customer service space, such as for healthcare, financial services or retail organizations

• 5+ years experience in customer-facing technical roles, such as professional services, customer support, technical account management, solutions consulting, technical sales, and so on

• Experience with commercial products used for the development of customer support and customer experience (CX) applications, such as Google Dialogflow, IBM Watson, Kore.ai, Five9, Genesys, NICE, Amelia, Omelia, and so on

• Expertise in conversational AI technologies, including speech recognition, speech synthesis, natural language processing, and large language models. Experience in creating such models is not required, only experience in using them

• Experience with AI Agent technologies, including prompt engineering, MCP, A2A, ReACT, LangChain, LangGraph, CrewAI, AutoGPT, Open Agents, Semantic Kernel, RAG, fine-tuning, and embeddings, is highly desired but not required

• Strong communication skills, including written and verbal communication in English

• Experience in hiring and building teams from scratch, including the usage of contractors

•  Bachelor’s or Master’s degree in Computer Science or equivalent work experience

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
• Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
• Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
• Build and execute test strategies for microservices and event-driven architectures
• Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
• Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
• Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
• Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
• Analyze defects, identify root causes, and ensure timely resolution
• Continuously improve test frameworks, tools, and processes

Required Skills & Qualifications

Automation & Testing

• Strong experience in Selenium WebDriver, RestAssured, TestNG
• Expertise in API Testing, UI Testing, and Microservices Testing
• Experience in building Hybrid/POM-based automation frameworks

Programming

• Proficiency in Java (mandatory)
• Basic working knowledge of Python

AI / ML / LLM Testing

• Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
• Knowledge of NER validation, prompt testing, and output evaluation techniques
• Exposure to model validation, scoring mechanisms, and dataset validation

Data & Cloud

• Strong SQL skills with experience in BigQuery or similar platforms
• Understanding of event-driven systems (Pub/Sub or similar)
• Experience in validating JSON-based data pipelines

DevOps & Tools

• Experience with Jenkins, Maven, Git/Bitbucket
• Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)

Good to Have

• Experience in Healthcare, OTT, or E-commerce domains
• Exposure to EMR/EHR systems or clinical data validation
• Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
• Experience with mobile testing (Appium)

Experience

• 4–6 years of experience in QA Automation / SDET roles
• Hands-on experience in AI/ML or LLM validation is highly preferred

Education

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

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 5+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 12+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

About SAI Group

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges.

Senior Software Engineer, JazzX (New AI Venture at SAI Group) 

Role Overview:  

As a Senior Software Development Engineer, you'll lead the design, development, and management of critical services and components of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. You'll mentor junior engineers, collaborate with cross-functional teams, and drive towards building a cutting-edge enterprise AI platform that remains state of the art.  

Design and Build: 

• Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaboration: 

• Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Operational Excellence: 

• Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability.
• Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues.
• Champion DevOps practices streamlining the software development lifecycle and delivery process. 

Requirements 

Experience:  

• Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. 

 Development Lifecycle:  

• Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. 

 Technical Skills:  

• Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++.
• AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired.  
• Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment. 

Why Join Us 

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are moving beyond the era of buttons and screens. We believe the future of our marketplace isn't a better UI; it’s the disappearance of the UI. We are transitioning from an app-based marketplace to an agent-first ecosystem where intelligent entities negotiate, schedule, and execute on behalf of our Pros and Partners. As leader of the Product Operations team in India, you are the master architect of this transition. You won't just manage a team; you will define the technical infrastructure that allows our marketplace to run autonomously. You are a "Builder-Leader" who can debate model latency with engineers in the morning and present agentic ROI to the Board in the afternoon.

Your Mandate: The Three Pillars

1. Architectural Leadership (The "Agent-First" Blueprint)

● Define the roadmap for transitioning from manual "point-and-click" workflows to intent-driven delegation.
● Oversee the design of the "Agentic Layer"—the middleware that translates user intent into marketplace actions.
● Ensure our "Ops" are not just efficient, but programmatic and self-healing.

2. Technical Execution & Hyper-Automation

● Lead the "Strike Team" that prototypes high-stakes automations. You are expected to be hands-on with Python/TypeScript, navigating Cursor or Replit to build the first 20% of a solution that proves a concept.
● Implement Reasoning-as-a-Service: Distinguish where LLMs (GPT, Claude, Gemini) are required for nuance versus where deterministic logic provides the reliability a marketplace demands.

3. Marketplace Intelligence

● Build automated systems to solve for liquidity balancing and real-time negotiation.
● Develop the telemetry needed to "debug" an agentic world. If an agent fails to close a deal, you need the data infrastructure to know why (Was it the prompt? The data? The logic?).

Who You Are

● The 10-Year Veteran: You have spent a decade at the intersection of Product, Engineering, and Operations. You’ve seen the shift from SaaS to Mobile, and you’re now leading the shift to AI.
● A Technical Polymath: You likely started in Engineering and moved into Product/Ops. You can read a PR, query a vector database, and build a LangChain/AutoGPT-style pipeline without hand-holding.
● Systems Thinker: You don't solve problems with more headcount; you solve them with better code and smarter agents.
● Bangalore Ecosystem Leader: You understand how to build and mentor high-performance technical teams in India's premier tech hub.

Qualifications
● 10+ years of experience in Product Operations, Technical Program Management, or Engineering Leadership (at least 4 years in a leadership role).
● Deep Automation Stack: Expert-level proficiency in Python or TypeScript. Experience with AI-native development environments and building with LLM APIs is non-negotiable.
● Marketplace Experience: Proven track record in high-frequency marketplaces (e.g., Ride-sharing, Food Delivery, Freelance platforms) where real-time matching is critical.
● Agentic Portfolio: You must be able to demonstrate (via GitHub or a portfolio) actual agents or autonomous workflows you have built—not just "GPT wrappers."

This role is not for you if

● You have worked primarily in operations with no technical/product background
● You are looking for a traditional Product Management role leading a team of PMs
● Bleeding edge of AI scares you rather than excites you
● You don't want to spend >80% of your time hands-on building things