About the role

We are looking for a high-impact Publisher Growth & Monetization Manager to drive revenue optimization across the ads ecosystem. This role sits at the intersection of analytics, product, and sales, and requires someone who can both diagnose monetization opportunities and execute on them with stakeholders.

This role is ideal for someone who mirrors a hybrid profile: consultative seller + analytical operator.

Key Responsibilities

Publisher Strategy & Growth: Act as a strategic advisor on revenue growth, inventory strategy, and ad stack evolution, Build quarterly growth plans and track execution against revenue targets. Identify whitespace opportunities (new formats, geos, demand partnerships)

Revenue & Monetization Optimization: Own end-to-end monetization strategy across Google Ad Manager / AdX / programmatic stack for web and app surfaces. Analyze revenue drivers (fill rate, CPMs, demand mix, floor pricing, etc.) and identify optimization levers. Run experiments (pricing, formats, demand channels) to maximize yield

Data & Analytics: Monitor performance (RPM, ARPU, latency, viewability, etc.). Translate data into clear narratives for internal and external stakeholders

Sales & Stakeholder Management: Own a portfolio of accounts with revenue responsibility. Lead business reviews, negotiations, and growth conversations with senior stakeholders

Cross-functional Collaboration: Work with Product, Engineering, and Demand teams to solve publisher challenges. Provide feedback loops to improve product features and monetization tools. Partner with internal teams to unlock incremental demand.

Minimum Qualifications

• 6–8 years of experience in ad tech, digital advertising, or publisher monetization
• Strong analytical skills (Excel, data storytelling)
• Experience with Google Ad Manager / AdX / programmatic ecosystem
• Ability to manage client relationships and drive revenue outcomes

Preferred Qualifications

• Prior experience in Managing publishers and ad inventory.
• Strong understanding of:
• Header bidding / Open Bidding
• Yield optimization & pricing strategies
• Programmatic demand landscape
• Proven track record of growing revenue or managing business targets
• Ability to operate in ambiguous, fast-paced environments

About the Role

Are you a passionate, energetic technologist who thrives in fast-paced environments and enjoys working across evolving technology stacks? Do you enjoy debugging complex systems, solving real business problems, and obsessing over the details that make systems reliable and scalable?

We’re looking for a SDE III to join the 3PIP Integrations and Inventory System team.

You will help design, build, and operate systems that sits between Groupon and 3rd party partners, along with our internal inventory management systems.

We are an AI driven organisation and highly promotes usage of AI agentic workflows to drive rapid growth and optimizations.

Our Technology Landscape (Today & Tomorrow)

Our platform is evolving, and we want engineers who are excited to grow with it.

Current Stack

• Backend services primarily in Java
• Cloud infrastructure on GCP/AWS
• Relational databases: MySQL, PostgreSQL
• REST / JSON APIs
• CI / CD - Jenkins
• Message brokers
• Docker, Kubernetes
• GitHub,
• JIRA,
• ELK

Future Direction

• (Key Focus) Moving towards Encore( TypeScript-first backend services)
• Building on GCP with Encore as a core development framework Emphasis on modern cloud-native architecture, service ownership, and developer productivity
• While experience with Java and AWS is important today, every new engineer should be excited about—and willing to actively contribute to—our transition toward a TypeScript and GCP-based ecosystem.

What You’ll Do:

• Design and develop services within Groupon’s microservices ecosystem Work on highly scalable e-commerce systems involving inventory, fulfillment, and 3rd party integrations.
• Collaborate with cross-functional teams to deliver business features and ensure compliance requirements are met
• Build service artifacts, plan deployments, and coordinate timelines with project and partner teams
• Improve system reliability by defining service-level metrics, setting alerting thresholds, and automating responses
• Create and maintain clear technical documentation
• Mentor junior engineers and support their technical growth
• Drive technical discussions and influence architectural decisions within the team

We’re Excited About You If You Have:

• BE/BTech or ME/MTech in Computer Science, Software Engineering, or a related field
• 6+ years of industry experience building and operating production systems Strong coding skills in Java , with openness to learning TypeScript
• Solid computer science fundamentals (Design Patterns, Data Structures & Algorithms, Operating Systems , DBMS)
• Experience with relational databases such as MySQL or PostgreSQL
• Exposure to NoSQL databases is a plus
• Exposure to AI tools like claude code, cursor are highly preferred.
• Experience developing and supporting web applications in transactional environments
• Strong debugging and troubleshooting skills
• Good communication and collaboration skills across technical and non-technical stakeholders
• Interest or experience in cloud platforms (AWS today, GCP tomorrow) is highly valued

We Value Engineers Who Are:

• Customer-focused – You understand that customer impact drives everything we build
• Obsessed with Quality – Your production code is reliable, scalable, and maintainable
• Team player – You collaborate, listen, and give constructive feedback
• Fast learners – You enjoy learning new technologies and applying them quickly
• Pragmatic – You balance speed and quality, knowing when trade-offs make sense
• Owners – You take responsibility for outcomes and actively contribute to business success

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Programmatic Associate
Position Scope:
Zeta Global is at the forefront of data-driven programmatic campaign management across all digital channels.
The Programmatic Associate must have a proven track record of success in all aspects of programmatic campaign 
management, including trafficking, optimization, and campaign reporting. As a valued member of the division, you 
will have a tremendous amount of responsibility and support to help you exceed campaign performance targets. The 
ideal candidate will have a thorough understanding of programmatic display and video campaign management. 
Candidates with similar marketing experience.
Responsibilities:
• Manage large cross-channel media budgets across display channels and aim to maximize ROI on 
performance-oriented campaigns.
• Work closely with US account management teams to ensure accuracy in set up, strategy and execution for 
new launches.
• Ensure that end-to-end display campaigns are run effectively, including tagging, trafficking, and 
optimization.
• Work with the account management team to deliver reporting and campaign updates as needed.
• Must be willing to work during US Eastern Standard Time hours.
Requirements:
• 2+ years of experience managing performance campaigns on display inventory
• Zeta DSP training will be provided, but experience with DSPs is a plus (DV360/AppNexus)
• Demonstrated track record of effectively optimizing CPM inventory to reach CPA/CTR goals
• Deep knowledge of the programmatic ecosystem
• Demonstrated analytical ability
• Fluent English 

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

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. 

Roles

The primary responsibilities center on end-to-end software development for the complete lifecycle, from architecture and coding (C/C++ focus) to release and maintenance. The role requires building and enhancing critical system software for inventory, configuration, monitoring, failover, and enclosure management. A major duty involves system design and implementation of robust interfaces between software and hardware components, and a close collaboration with hardware teams on system power-on, bring-up, and firmware management to ensure system availability.

SHOULD YOU ACCEPT THIS CHALLENGE...

1. End-to-End Development: Lead the complete software lifecycle — from architecture, design, coding, and debugging to release and long-term maintenance.
   
   
2. System Design & Implementation: Build and enhance software for inventory, configuration, failover, monitoring, enclosure management, and event handling.
   
   
3. Interface & Integration: Design robust inter-component interfaces (software ↔ hardware and application ↔ system) and ensure smooth integration with existing infrastructure.
   
   
4. Hardware Collaboration: Contribute to system power-on, bring-up, and firmware management — including versioning, updates, and availability optimization.
   
   
5. Cross-Team Collaboration: Work with global and cross-functional teams to deliver new features, manage vendor requirements, and ensure high-quality system delivery.

WHAT WE’RE LOOKING FOR

1. Technical Expertise: Strong command of C/C++ (Python proficiency a plus) and solid experience working on Linux or other *NIX environments.
   
   
2. Hardware Know-How: Hands-on experience with CPU architectures (x86 preferred), BMC, BIOS, EEPROM, PCIe, SAS, and communication protocols such as I2C, SMBus, or PMBus.
   
   
3. Practical Experience: Skilled in working with hardware platforms — from design feedback and debugging to customer delivery and support.
   
   
4. Collaborative Mindset: Proven ability to work effectively with distributed and cross-functional teams in a product development environment.
   
   
5. Who You Are: A passionate technologist who loves building innovative products, communicates clearly, adapts quickly, and thrives in a fast-paced, team-oriented setup.

Location: Bangalore, India

Shift Timing: 5:30 PM- 2:30 AM

About You:

In this role, you will be a Quoting Analyst II who will be a  part of the Global Renewal Team. This role will be focused on ensuring all upcoming renewals from the installed base are being quoted accurately with the intent to align expiration dates and streamline the renewal process. This individual will assist the Renewals team review and report any refresh/upgrade opportunities that impact the installed base. Your ability to drive business process, manage heavy transaction workloads with a keen attention to detail will enable the team to secure more revenue prior to the maintenance/subscription expiration date ultimately removing the risk of reducing the contract value. Focusing on accuracy upfront will allow for predictability as we look to secure the renewals.

What we’re looking for:

• You are a Quoting Analyst II  with 4+ years of experience in Renewals Quoting Operations supporting the renewal reps in their day-to-day activities by picking up and performing more administrative tasks and helping to coordinate activity between different functions. You will be instrumental in scaling our renewal business and achieving our ambitious growth targets.

What you will Do:

• Responsible for maximizing retention by partnering with Renewal Reps to ensure renewal quotes are validated & sent out early.
• Ensure the data is accurate, including all changes from the prior renewal, price increase, and accuracy of all SKU data and contractual terms that may impact the renewal amount.
• Manage a pipeline of upcoming renewals and validate each opportunity/quote in your assigned region.
• Accountable for reviewing and checking accuracy with upgrades executed by the field and Inside Account teams
• Identify the potential Flip/Refresh/Upgrades opportunities early in the renewal cycle.
• Extract and analyze large data sets to deliver meaningful insights around Adoption, Retention and expansion, and proactively report on trends and suggestions for improvement
• Extract and analyze large data sets to deliver meaningful insights around retention and expansion, and proactively report on trends and suggestions for improvement.

Desired Skills & Experience:

• 3-8 years of hands-on Renewal Operations, Revenue Operations or Quote to Cash Process.
• Solid Salesforce aptitude
• Ability to Organize and Prioritize activities
• Strong oral and written communication skills
• Organizational and follow up skills, problem solving and analytical skills
• Inventory/installed base management experience is a plus
• Ability to take initiative, work flexibly, and adhere to priorities with minimal direct supervision.

#LI-DR2

Key Responsibilities

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

Must-Have Skills

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

Software Expertise

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

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

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

About IRL

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

Who You Are:

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

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

Nice-to-haves:

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

What You’ll Do:

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

Scopely is looking for a Workplace Experience & Facilities Coordinator to join the Employee Experience and Facilities team at the Bangalore Hub on an onsite basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

We make sure our teams have everything they need to create amazing games. The People team manages everything from benefits & employee engagement to professional development opportunities and more!

What You Will Do

• Support the team in overseeing daily office operations, ensuring a clean, safe, organized, and efficient workplace
• Conduct routine checks of office areas, meeting rooms, and amenities; coordinate resolution of maintenance and facility issues
• Support the Sr. Manager in managing non-IT consumables (pantry, stationery, utilities): track inventory, place orders, and keep storage organized
• Serve as the primary point of contact for vendors (catering, housekeeping, maintenance, and other service providers); monitor service delivery and follow up on gaps
• Validate invoices, coordinate payments with Finance, and manage petty cash reconciliation for approved office expenses
• Coordinate with IT to support onboarding by preparing workstations, desks, monitors, and basic equipment
• Plan and execute local employee experience initiatives (in-office activities, wellness programs, celebrations, social events) and support the Bangalore rollout of “One Scopely” initiatives.
• Manage event logistics end-to-end (vendor coordination, space setup, catering, on-site execution) and support event budgeting (quotes, expense tracking)
• Promote workplace events through Slack, email, and in-office screens; serve as a point of contact for office-related queries
• Gather post-event feedback, recommend improvements, and support emergency preparedness activities (fire drills, evacuation planning, safety audits) including incident documentation and follow-up
• Support emergency preparedness (fire drills, evacuation planning, safety audits)
• Document incidents, track corrective actions, and coordinate with vendors/building management

What We're Looking For

• Bachelor’s degree in Hospitality, Event Management, Human Resources, Business Administration, or a related field
• 4–5 years of experience in workplace experience, facilities coordination, office operations, or event management
• Strong organizational and multitasking skills with excellent attention to detail
• Ability to manage multiple priorities in a fast-paced environment
• Excellent written and verbal communication skills, comfortable working with global teams
• Strong interpersonal skills with a proactive, service-oriented mindset
• Experience working with vendors and managing operational budget
• Proficiency with Google Workspace, Slack, Zoom

Bonus Points

• Experience with Smartsheets or similar tools
• Ability to design or coordinate basic communication materials (emails, flyers, presentations)

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.     

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Position Summary

We are currently seeking an Associate Group Head / Group Head – Addressable Strategy & Activation to oversee and develop our Programmatic & MarTech service offering and to help, develop, execute, and optimize Interactive Avenues most challenging Programmatic strategies for desktop, mobile, voice search, YouTube. This role includes direct management of Programmatic team members, serving as internal analyst to maintain portfolios of the partners. This is an exceptional opportunity to build your career and work with some of the largest brands in an amazing agency environment.

Account Management

• Develop the strategy & manage the day-to-day relationships to ensure revenue growth for your portfolio of programmatic partners.
• Monitor & analyse daily activities to identify opportunities to increase revenue and challenges affecting spend or delivery.
• Help maximize revenue opportunity with all existing programmatic partners
• Understand partners’ needs and develop custom commercial & technical offers where necessary.
• Work with internal marketing team to develop marketing materials & BI team to pull together relevant trends.
• Conduct Quarterly Business Reviews for a portfolio of partners.
• Generate and manage business plans to define strategies and tactics for long-term sustained success.

Key Responsibility Areas

• Translating client campaign objectives into programmatic activation strategies; including defining and building target audiences and sourcing relevant inventory opportunities
• Provide Data Driven, Supply, AI /ML Multi – DSP / platform solutions to planning or Client teams.
• Managing campaigns, including ensuring budgets are pacing effectively and tactics are being optimized towards relevant objectives and KPIs
• Provide Mid / Post campaign analysis to clients 
• Overseeing the execution of operational tasks including budget management, billing and campaign creative trafficking
• Developing strong working relationships and with planning, investment, operations and analytics team.
• Creating and enforcing workflow processes to ensure deliverables are completed accurately and on time
• Training, supporting and managing the day to day responsibilities and QAing work of more junior team members
• Conducting regular and ad hoc analysis to identify opportunities to improve performance within and across campaigns
• Keeping key stakeholders including clients and account teams updated on campaign and account level performance via regular and ad-hoc reporting and status meetings
• Contributing to the development of best practices to improve the quality or efficiency of work within an account or broader agency programmatic team
• Team Handling (TAT, Monthly Revenues, quality check, new findings).

Skills

• Proactive and highly organised, with strong time management and planning skills
• Able to meet tight deadlines and remain calm under pressure
• Good at absorbing large amounts of information, with a general hunger for learning
• Credible, confident and articulate, with good communication and presentation skills
• Innovative and creative, with a concise, precise and effective approach to problem solving
• Excellent command on English language (Spoken and Written)
• Passion for excellence with high attention to details

Team Leadership & Development

• Embraces and encourages a culture based on team work, collaboration, and intellectual curiosity
• Motivates, leads, and manages internal teams, working collaboratively to drive programs that meet our clients’ performance and business objectives
• Drives adoption of stated account management best practices through example setting, positive reinforcement and behavioural correction
• Mentor and develop his/her team, including goals/KRAs setting, collaboration, training, feedback reviews and other career development opportunities

Qualifications

Education:

• A Graduate with a management degree from an institute of reputation
• Experience with working on industry-leading DMPs, organizing 1st, 2nd, 3rd party data, segments and campaign setup
• Well versed with ad technology tools including SEM bid management tools, DSPs, planning tools
• Proficient knowledge of ad serving tools (ex: DV360, DCM)

What You Can Expect From Interactive Avenues

Interactive Avenue’s  vision is to make advertising more insightful to the brands. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

Role: Assistant Manager - Financial Reporting & Analysis
Location: Bengaluru
Experience: 3–5 years
Reporting to: Senior Manager – Controllership & Reporting
Employment Type: Full-time

Role Overview

We are seeking a Chartered Accountant (CA) with 3–5 years of experience to manage inventory and contract asset accounting and drive financial reporting, audit readiness, and month-end closing under US GAAP/IFRS. This role involves inventory valuation, cost accounting, reserves, and accurate record-keeping in NetSuite, along with Procure-to-Pay (P2P) processes—purchase orders, vendor advances, and accounts payable reconciliations. The position demands strong technical accounting knowledge, compliance focus, and collaboration with cross-functional teams.

Key Responsibilities

Month-End Closing & Reporting

• Month-End Close (MEC) activities: journal entries, GL reconciliations, accruals, and variance/flux analysis.
• Prepare and review financial reporting packs, including inventory schedules, COGS analysis, and reserve calculations.
• Ensure timely submission of Balance Sheet, P\&L, and Cash Flow statements under US GAAP/IFRS.

Audit & Compliance

• Drive audit readiness: prepare schedules, support walkthroughs, and provide documentation for inventory and AP cycles.
• Ensure compliance with US GAAP/IFRS for inventory valuation, reserves, and procurement accounting.
• Assist in drafting and implementing accounting policies and internal controls.

Inventory & Procurement Accounting

• Develop and implement inventory control policies for accuracy and efficiency.
• Maintain accurate inventory records; reconcile physical counts with NetSuite system records and publish reports.
• Investigate variances and coordinate with operations for resolution.
• Manage the purchase order system, monitor vendor advances, reconcile accounts payable, and ensure timely recording of procurement transactions.

Qualifications & Skills

• Qualified Chartered Accountant (CA).
• 3–5 years of experience in financial reporting, audit support, and inventory accounting.
• Strong knowledge of US GAAP/IFRS and technical accounting for inventory and reserves.
• Experience in Procure-to-Pay processes and AP controls.
• Proficient in Microsoft Excel; hands-on with NetSuite (preferred) and familiarity with SAP.
• Expertise in GL reconciliations, monthly flux analysis, and audit documentation.
• Excellent attention to detail and ability to work collaboratively with cross-functional teams.
• Excellent communication skills.

Why project44?   

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

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

About The Role 

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

About You 

Basic Qualifications 

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

Other Qualifications 

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

Technologies We Use 

• Jira 
• Confluence 
• Zendesk 
• TextExpander 
• Salesforce

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

Diversity & Inclusion: 

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

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

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

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

Senior Software Engineer  -  Senior Machine Learning Platform

Why This Role Matters 

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

What Makes This Opportunity Unique 

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

Responsibilities 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Desired Skills & Experience 

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

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

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

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

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

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

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

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

Preferred Mindset 

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

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

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

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

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

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

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of our Global Operations Centre (GOC), you will partner with teams across the U.S., Europe, and Asia to deliver high-performance programmatic media solutions across multiple DSPs and channels.

You will lead strategy, execution, and optimization of display, video, native, CTV,  and emerging programmatic formats—ensuring global best practices are upheld while tailoring strategies to local market needs. This is a role for a programmatic expert who thrives at the intersection of data, technology, and media activation.

Skillset requirement:

Programmatic Strategy & Leadership

• Serve as the global lead for programmatic activation across all buying platforms.
• Develop strategies that leverage audience targeting, contextual intelligence, and dynamic creative optimization (DCO).
• Represent GOC in all programmatic-focused agency/market interactions, ensuring flawless communication and delivery.

Campaign Activation & Optimization

• Oversee setup, QA, optimization, and pacing of campaigns across DV360, The Trade Desk, Amazon DSP, Yahoo DSP, and other platforms.
• Implement structured testing across formats, creatives, and bidding strategies.
• Optimize toward CPA, ROAS, reach, or other KPIs using both manual levers and automated bidding.

Data, Measurement & Insights

• Partner with analytics teams to build custom dashboards and reporting frameworks.
• Apply multi-touch attribution, brand lift studies, and incrementality testing to evaluate performance.
• Ensure consistent taxonomy, naming conventions, and tracking across markets.

Stakeholder & Partner Management

• Collaborate with market teams, creative partners, and platform reps to drive programmatic innovation.
• Guide local markets in adapting global programmatic playbooks while allowing for regional flexibility.

Operational Excellence

• Design SOPs for campaign workflows, QA, and optimization standards.
• Ensure compliance with brand safety, viewability, fraud prevention, and privacy regulations.
• Lead integration of automation tools, AI optimizers, and API-based workflows.

Team Leadership

• Manage and mentor a team of programmatic traders and specialists, fostering growth in emerging areas like CTV and programmatic audio.
• Encourage certification completion (e.g., DV360, The Trade Desk Edge Academy, Amazon DSP).

Innovation & Growth

• Identify new inventory, data partners, and technology opportunities to expand programmatic capabilities.
• Lead tests on new formats such as AR-enabled display, retail media programmatic, and shoppable video.

What We’re Looking For

• 8+ years in digital marketing with a strong focus on programmatic media.
• Hands-on expertise in DV360, The Trade Desk, Amazon DSP, and other major buying platforms.
• Strong understanding of data onboarding, audience segmentation, and DMP/CDP integrations.
• Experience managing large budgets across multi-market, multi-channel programmatic campaigns.
• Proficiency in Excel, Google Sheets, and data visualization/reporting tools.
• Demonstrated ability to train and scale high-performing teams.
• Analytical, solution-oriented mindset with excellent communication skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Why This Role Matters 

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

What Makes This Opportunity Unique 

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

Responsibilities 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Desired Skills & Experience 

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

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

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

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

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

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

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

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

Preferred Mindset 

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

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

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

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

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

Why This Role Matters 

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

What Makes This Opportunity Unique 

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

Responsibilities 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Desired Skills & Experience 

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

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

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

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

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

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

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

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

Preferred Mindset 

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

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

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

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

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

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of our Global Operations Centre (GOC), you will partner with teams across the U.S., Europe, and Asia to deliver high-performance programmatic media solutions across multiple DSPs and channels.

You will lead strategy, execution, and optimization of display, video, native, CTV,  and emerging programmatic formats—ensuring global best practices are upheld while tailoring strategies to local market needs. This is a role for a programmatic expert who thrives at the intersection of data, technology, and media activation.

Skillset requirement:

Programmatic Strategy & Leadership

• Serve as the global lead for programmatic activation across all buying platforms.
• Develop strategies that leverage audience targeting, contextual intelligence, and dynamic creative optimization (DCO).
• Represent GOC in all programmatic-focused agency/market interactions, ensuring flawless communication and delivery.

Campaign Activation & Optimization

• Oversee setup, QA, optimization, and pacing of campaigns across DV360, The Trade Desk, Amazon DSP, Yahoo DSP, and other platforms.
• Implement structured testing across formats, creatives, and bidding strategies.
• Optimize toward CPA, ROAS, reach, or other KPIs using both manual levers and automated bidding.

Data, Measurement & Insights

• Partner with analytics teams to build custom dashboards and reporting frameworks.
• Apply multi-touch attribution, brand lift studies, and incrementality testing to evaluate performance.
• Ensure consistent taxonomy, naming conventions, and tracking across markets.

Stakeholder & Partner Management

• Collaborate with market teams, creative partners, and platform reps to drive programmatic innovation.
• Guide local markets in adapting global programmatic playbooks while allowing for regional flexibility.

Operational Excellence

• Design SOPs for campaign workflows, QA, and optimization standards.
• Ensure compliance with brand safety, viewability, fraud prevention, and privacy regulations.
• Lead integration of automation tools, AI optimizers, and API-based workflows.

Team Leadership

• Manage and mentor a team of programmatic traders and specialists, fostering growth in emerging areas like CTV and programmatic audio.
• Encourage certification completion (e.g., DV360, The Trade Desk Edge Academy, Amazon DSP).

Innovation & Growth

• Identify new inventory, data partners, and technology opportunities to expand programmatic capabilities.
• Lead tests on new formats such as AR-enabled display, retail media programmatic, and shoppable video.

What We’re Looking For

• 8+ years in digital marketing with a strong focus on programmatic media.
• Hands-on expertise in DV360, The Trade Desk, Amazon DSP, and other major buying platforms.
• Strong understanding of data onboarding, audience segmentation, and DMP/CDP integrations.
• Experience managing large budgets across multi-market, multi-channel programmatic campaigns.
• Proficiency in Excel, Google Sheets, and data visualization/reporting tools.
• Demonstrated ability to train and scale high-performing teams.
• Analytical, solution-oriented mindset with excellent communication skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

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

Key Responsibilities

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

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

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

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

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

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

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

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

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

Qualifications

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

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

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

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

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

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

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

Preferred Qualifications

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

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

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

• Exposure to Salesforce or other CRM integrations with NetSuite.

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

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

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

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

Job Description  

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

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

Responsibilities  

• Maintain and update market data inventory records.  

• Process market data invoices and reconcile discrepancies.  

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

• Contribute to data analysis and reporting as required.  

• Support the team in implementing process improvements and automation.  

• Provide excellent client service and support.  

Qualifications and Experience  

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

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

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

• Strong attention to detail and accuracy.  

• Proficiency in data analysis tools and Excel.  

• Excellent organizational and time management skills.  

• Good communication and interpersonal skills.  

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

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

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

What you'll do:

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

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

What we expect:

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

About Anteriad 

We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers.   

JOB SUMMARY:

You will be responsible for planning, setting, and executing audience-targeted campaigns per our client's strategy and objectives. The ideal candidate is a specialist in using multiple interfaces, in a self-service capacity, to discover audiences and target them via media buying tools (DSPs) across various channels. Campaigns need to be maintained and optimized frequently to achieve KPI goals and deliver completely. Mainly in Programmatic Video and Display Campaign trafficking, Campaign optimization & troubleshooting, Media Planning, Reporting, Analysis, and Discrepancy analysis, Media Buying, Demand & Supply Analysis, Post campaign analysis (PCA), Account Management / Client servicing, SLA Management, Audience Onboarding Collaborate with the team for support and promote knowledge sharing.

DUTIES AND RESPONSIBILITIES:

• Build a great working relationship with digital teams, operating seamlessly together to deliver success for our esteemed clients, across briefing, strategy, setup, optimization, reporting processes & invoicing
• Be the support to the teams in advocating good practice, challenging the status quo, and identifying opportunities to improve the way we work
• Consistently learn from the people leading the digital ad revolution
• Gain an in-depth understanding of the programmatic landscape
• Work with sales team to implement and oversee ad campaigns across different platforms
• Be trained on the various platforms & tools and how insight and analytics fits into the larger team
• Assist in the day-to-day operations of the operations team and take ownership of pre-campaign to post-campaign requirements
• Manage and be responsible for all the campaigns from start to completion
• Generate meaningful insights for post-campaign reporting
• Incorporate and recommend other aspects of the business including audience planning and insight, products and proprietary media as part of the overall campaign execution.
• Consistently manage and deliver campaigns through your portfolio of our esteemed customer, with the highest degree of service, strongest results and without error 
• products used by Customer
• Test and learn different optimization strategies and share knowledge with the team
• Complete support in answering client queries
• Preparing process documents whenever needed

SKILLS & REQUIREMENTS:

• Bachelor’s degree in marketing, advertising, math or a related field
• 6+ years of work experience
• Intermediate to advanced Microsoft Office Suite
• Expert knowledge of digital programmatic buying with hands-on experience using demand-side platforms for large-scale clients for a minimum of 5 years. Preferred experience with using Xandr, Trade Desk, DBM, Brightroll, TubeMogul, Rollswork.
• Working knowledge of the holistic digital landscape: video, display, social, programmatic and marketing analytics
• Working knowledge/experience in setting bid strategies across RTB and PMP (private and preferred) inventor
• Proficient in Excel, with demonstrated ability to organize and consolidate multiple data sources for analysis
• Should be confident with Data Analysis in Excel, including Pivot Tables & basic statistics
• Intermediate to advanced analytical skills specifically to performance and data metrics
• Strong interpersonal skills; ability to work with and manage cross-functional teams
• Excellent written and oral communication skills combined with outstanding presentation skills
• Enthusiasm for the media industry and digital online industry
• Should be Well versed on CRM tools
• Should have Worked on Social Media Platforms
• Analyzing and suggesting various strategies on effective Monetization of the inventory based on periodical analysis and reporting to the revenue management teams
• Good understanding on Fill rate optimization, Use rate optimization, Header Bidding, Ad Prioritization and Real Time Bidding along with performance optimization for brand reach
• Should expertise on programmatic deals such as Private Marketplace, VAST- based, Programmatic Guaranteed, Direct Connections and Header Bidding on different platforms
• Implement automation wherever needed
• Share your strong programmatic media knowledge through facilitating training sessions with your peers and providing in-depth media strategies within your expertise.