Role 

We are looking for an Analyst Workforce Management to join our team. This is a hybrid role based in Zscaler office location in Bangalore, reporting to the Director Workforce Management in the Workforce Management Department. The primary objective is to drive operational efficiency by translating complex historical data into actionable strategies. This ensures that service level agreements (SLAs) are met without over-investing in idle resources.

What you’ll do (Role Expectations)

• Deliver precise demand forecasting to align operational capacity with business needs
• Develop and maintain capacity modeling to ensure optimal resource allocation
• Execute trend analysis and contingency planning to proactively mitigate service risks
• Partner with stakeholders to drive continuous improvement and operational excellence
• Optimize operational performance to balance service delivery with cost efficiency

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.

What We’re Looking for (Minimum Qualifications)

• Minimum 4–5 years of Workforce Management experience, including at least 2 years of proven expertise in forecasting & capacity planning
• Proficiency with WFM tools such as Genesys, NICE, or Aspect, or equivalent statistical software
• Strong understanding of quantitative methods including moving averages, exponential smoothing, and regression analysis
• Professional experience in workforce management, supply chain, or operations management
• Advanced skills in Microsoft Excel and data visualization tools like Tableau or Power BI

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Statistics, Business, Information Technology, or Operations Management
• Proactive and detail-oriented approach to identifying and solving complex capacity constraints
• Ability to synthesize complex data into clear recommendations for executive leadership

#LI-HG1

#LI-Hybrid

Senior Associate, Paid Social

 Location:  Bangalore

 Position Scope:

The Senior Associate, Paid Social position is a full-time role that will support the Zeta’s social media campaign management team. This role is a great opportunity to leverage your expertise in managing paid social campaigns while incorporating cutting edge trends in digital advertising. Priority will be given to candidates experienced with Facebook Ads Manager. Tasks will include campaign setup, KPI and pacing optimization, and reporting across multiple ad platforms. The employee will learn the key components of paid social marketing campaigns, what metrics matter, and how to create performance reports that illustrate key insights for clients.

Responsibilities: 

• Setting up campaigns according to IO requirements (ad uploads, pixels, budgets, and targeting)
• Analyze Facebook performance and make necessary optimizations to meet clients’ pacing and KPI goals
• Manage campaign reporting by compiling data from internal and external platforms
• Compile image sets for digital marketing campaigns
• Support campaign management team with ad-hoc requests

Requirements:

• Deep understanding of the paid social media ecosystem
• Experience with Facebook required. Additional experience with TikTok, Snapchat, YouTube, or Twitter preferred
• Preference will be given to candidates with Facebook/Meta ad platform experience, including pixel implementation, optimization, audience targeting, and bid/budget management
• YouTube ad experience a plus but not required
• BCA/BSC degree, including quantitative coursework
• Strong written communication skills
• Meticulous attention to detail
• Demonstrated analytical ability
• Interest in digital marketing trends
• Willingness to work during U.S. Eastern Standard Time (EST) hours

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

Senior Associate, Paid Social

 Location:  Bangalore

 Position Scope:

The Senior Associate, Paid Social position is a full-time role that will support the Zeta’s social media campaign management team. This role is a great opportunity to leverage your expertise in managing paid social campaigns while incorporating cutting edge trends in digital advertising. Priority will be given to candidates experienced with Facebook Ads Manager. Tasks will include campaign setup, KPI and pacing optimization, and reporting across multiple ad platforms. The employee will learn the key components of paid social marketing campaigns, what metrics matter, and how to create performance reports that illustrate key insights for clients.

Responsibilities: 

• Setting up campaigns according to IO requirements (ad uploads, pixels, budgets, and targeting)
• Analyze Facebook performance and make necessary optimizations to meet clients’ pacing and KPI goals
• Manage campaign reporting by compiling data from internal and external platforms
• Compile image sets for digital marketing campaigns
• Support campaign management team with ad-hoc requests

Requirements:

• Deep understanding of the paid social media ecosystem
• Experience with Facebook required. Additional experience with TikTok, Snapchat, YouTube, or Twitter preferred
• Preference will be given to candidates with Facebook/Meta ad platform experience, including pixel implementation, optimization, audience targeting, and bid/budget management
• YouTube ad experience a plus but not required
• BCA/BSC degree, including quantitative coursework
• Strong written communication skills
• Meticulous attention to detail
• Demonstrated analytical ability
• Interest in digital marketing trends
• Willingness to work during U.S. Eastern Standard Time (EST) hours

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

Senior Associate, Paid Social

 Location:  Bangalore

 Position Scope:

The Senior Associate, Paid Social position is a full-time role that will support the Zeta’s social media campaign management team. This role is a great opportunity to leverage your expertise in managing paid social campaigns while incorporating cutting edge trends in digital advertising. Priority will be given to candidates experienced with Facebook Ads Manager. Tasks will include campaign setup, KPI and pacing optimization, and reporting across multiple ad platforms. The employee will learn the key components of paid social marketing campaigns, what metrics matter, and how to create performance reports that illustrate key insights for clients.

Responsibilities: 

• Setting up campaigns according to IO requirements (ad uploads, pixels, budgets, and targeting)
• Analyze Facebook performance and make necessary optimizations to meet clients’ pacing and KPI goals
• Manage campaign reporting by compiling data from internal and external platforms
• Compile image sets for digital marketing campaigns
• Support campaign management team with ad-hoc requests

Requirements:

• Deep understanding of the paid social media ecosystem
• Experience with Facebook required. Additional experience with TikTok, Snapchat, YouTube, or Twitter preferred
• Preference will be given to candidates with Facebook/Meta ad platform experience, including pixel implementation, optimization, audience targeting, and bid/budget management
• YouTube ad experience a plus but not required
• BCA/BSC degree, including quantitative coursework
• Strong written communication skills
• Meticulous attention to detail
• Demonstrated analytical ability
• Interest in digital marketing trends
• Willingness to work during U.S. Eastern Standard Time (EST) hours

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

Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.

We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.

This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.

You Will

• Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
• Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
• Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
• Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
• Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
• Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
• Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
• Translate qualitative UX signals and customer feedback into measurable data pipelines

You Have

• Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
• 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
• Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
• Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
• Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
• Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
• Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
• Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
• Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
• A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment

Preferred Qualifications

• Experience building AI agent skills, subagents, or MCP server integrations for LLMs
• Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
• Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
• Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
• Familiarity with metric governance frameworks, data catalogues, or data quality tooling
• Prior experience working in a SaaS or enterprise software environment

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

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.

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid 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. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

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 employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

Impact

You will create an open financial system and enable decentralized networks to flourish. The largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights into the crypto industry. You will become the expert on crypto industry trends and market movements. 

You will be responsible for developing a deep understanding of the client segment, including client dynamics & challenges, needs from the sales team, as well as a working knowledge of the products and solutions that are a focus within that client segment. You will also play a critical role in helping understand data and digital components, measuring the success of our marketing outreach, understanding trends, and tying marketing engagement to the growth of our business.

Responsibilities

• Significantly grow our Institutional business by scaling the number of clients and revenue
• Managing and servicing a list of designated clients, or your ‘Book of Business’, as their primary point of contact. This includes:
• Inbound inquiries from the Client segment as well as working with the sales teams on converting outbound leads
• Building long-term relationships with your clients and provide ongoing relationship servicing current clients to enable up-sell / cross-sell opportunities and ensure they are satisfied
• Demonstrate a proactive mindset, constantly thinking ahead and anticipating client needs and/or concerns, while keeping their business goals top-of-mind
• Contribute to the planning and implementation of the client segment in designated region and execute the business strategy surrounding it
• Understand the product offerings in the marketplace and assess the activities of our competitors to proactively satisfy and retain our clients
• Assess client satisfaction and extract key business needs/issues
• Achieve quarterly target metrics and KPIs established by management
• Align with leadership regularly to discuss and optimize strategy and share customer feedback across functions

Required Qualifications

• MBA degree or equivalent practical experience
• 6+ years of experience in a Corporate Relationship Management role at a Bank, Fintech/Financial services or in the Asset management industry
• Superior service skills/"client first" approach resulting in strong customer loyalty, ability to service customers in the given region and being flexible as the role evolves
• An interest in the digital asset space and enthusiasm about FalconX’s products and business model
• Working knowledge in any major asset class (Fixed Income, Forex, Equities, Commodities) and front office experience in handling Spot and derivatives products in any of these asset classes
• Ability to represent the company’s culture and values to our institutional counterparties
• Inclusive team player attitude
• Start-up mindset and go-getter attitude, hunger for scaling business and revenues 

Preferred Qualifications

• Entrepreneurial experience
• Strong analytical skills, both quantitative and qualitative
• Base knowledge of institutional investment strategies and portfolio positioning
• Knowledge and passion for digital assets / crypto
• Knowledge of financial markets and investing
• Strong interpersonal, organisational, and time management skills
• Masters degree in finance
• Experience working with remote teams

As a quant developer you’ll: 

• Develop tooling and systems to support our trading activities: pricing enhancements for derivatives, execution algos and infrastructure, trading product development, etc. 
• Promote strong collaboration within a cross functional team, including design, product management, traders, quants and trade operations
• Solve technical problems of high scope and complexity. 
• Be involved in some of the most innovative products within the industry, like correlation exotics, missing data vol pricing, etc. 

Job requirements

• A bachelors/masters degree in Computer Science, Mathematics or related field.
• Proficiency in python and preferably a low level language and basics of a UI framework.
• Familiarity with distributed systems.
• Familiarity with Derivative Products or Risk management frameworks.
• Strong understanding of data structures, algorithms, and design patterns.
• Strong problem solving skills
• Strong understanding of data structures, algorithms, and design patterns
• Strong communication skills and collaborative mindset with detail-oriented approach to operations
• Ability to move quickly and adapt to a fast moving environment
• Comfort working in a highly agile, intensively iterative software development process.
• Desire to work in an early stage product startups

Bonus Criteria

• Experience with exotic products
• Experience with numerical methods and optimization 
• Experience with React 

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

Location - Bangalore

Shift Timing - 5:30 P.M to 2:30 A.M (IST)

Position Summary:

​​As the Business Operations Manager, you will play a crucial role in optimizing and scaling our renewal processes and operations to support our ambitious growth targets. You will lead a team of renewal operation professionals to ensure seamless coordination between Finance, Sales Ops, Product Ops, IT and other cross-functional teams. This is a strategic role but should possess good hands-on experience and requires a deep understanding of SaaS business model and the renewal process management. This is a relatively new role and we are looking for someone who can thrive with a high level of ambiguity to operate autonomously while maintaining cross functional collaboration and stakeholder management and expectations.

What You Will Do

Strategy and Planning: 

• Develop and implement a comprehensive operational rigor, aligning it with overall business objectives and revenue targets.
• Partner with Sales Ops and Finance in the long-range planning ,QRF submissions to the leadership and Renewal Capacity Planning.
• Conduct data-driven analysis to identify sales performance trends, opportunities, challenges and use the insights to optimize processes and propose actionable recommendations.
• Provide valuable insights and contribute to sales planning, territory planning, and coverage model strategies.
• Stay updated on industry trends and competitive landscape and customer feedback to refine renewal strategies.

Renewal Sales Process Optimization: 

• Streamline and standardize sales processes to improve efficiency, shorten sales cycles and increase overall sales effectiveness. 
• Develop and implement sales playbooks and methodologies to ensure consistency across the sales team.
• Provide operational guidance and support in Renewals forecasting and business reviews.
• Orchestrate the Forecast Calls with the Renewal Managers and the Team.
• Work with Renewal Managers and Sr. Customer Success Managers to get the CQ+1 Forecast Outlook by incorporating upside, downside and Risk to the RBOB.

Analytics and Reporting: 

• Maintain Renewal KPIs and dashboards to monitor sales performance and track progress towards targets. 
• Leverage data and insights to support process improvements, enable optimal business outcomes, manage project scope and ongoing operations.
• Prepare regular reports and presentations highlighting renewal performance to assess sales performance and identify areas for improvement.

Customer Success & Relationship Management:

• Work with the Retention team to proactively identify the barriers to renewal and call out the risk early for the upcoming quarters. 
• Collaborate closely with the Customer Success team to develop and execute proactive engagement plans that drive value for customers and increase renewal rates.
• Manage the Retention KPIs including the quantitative and qualitative metrics - Value and Outcomes from the Risk Mitigation, Dollars Retained and document the customer objections.

Cross-Functional Collaboration: 

• Drive collaboration and Foster strong relationships with cross functional teams to ensure seamless coordination and alignment of strategies. 
• Partner with finance, customer success and sales operations functions in managing the day-to-day Renewal operations.

What We're Looking For

• 10+ years’ experience in Revenue/Renewal/Customer Success/ Sales Operations, Sales Strategy or similar
• Proven track record of success in operations roles within high-growth SaaS or technology companies.
• Intermediate to Advanced experience with Salesforce (SFDC) and CPQ, Advanced Excel.
• Strong analytical skills with the ability to interpret data and make decisions based on insights.
• Proven ability to lead and motivate a team, work in a fast-paced dynamic environment and handle multiple priorities simultaneously.
• Ability to drive cross-functional collaboration, establish credibility, be decisive and articulate issues clearly and concisely.
• An inquisitive nature and exceptional attention to detail. 

#LI-DR2

Role Overview 

We are seeking a seasoned, strategic Early Lifecycle Retention Lead to own and elevate Payoneer’s company-wide approach to early customer retention. This is a high-impact role focused on reducing churn within the first 90 days of the customer lifecycle—one of the most critical drivers of long-term revenue and customer value in fintech. 

Operating at the intersection of data, customer insights, and strategy, this role requires a leader who has successfully partnered with senior stakeholders and led complex, cross-company initiatives. You will be responsible for defining the vision, building scalable frameworks, and embedding a customer-centric approach grounded in deep CX understanding and behavioral insights. 

What You’ll Do 

• Own and define the company-wide early lifecycle retention strategy, with clear accountability for reducing 0–90 day churn and improving activation and engagement metrics. 

• Leverage customer insights and CX data (quantitative and qualitative) to deeply understand customer behavior, pain points, and friction across the early journey. 

• Partner closely with senior leadership (VP/SVP level) across GTM, Risk, Product, and Operations to align on priorities, trade-offs, and execution plans. 

• Lead large-scale, cross-functional programs end-to-end, from problem definition through execution and measurable business impact. 

• Translate complex data into strategic insights, combining behavioral analytics with customer feedback (VoC, NPS, support signals) to identify churn drivers. 

• Drive root-cause analysis at scale, incorporating both operational gaps and customer experience breakdowns across the lifecycle. 

• Design and implement structured retention and CX frameworks, embedding best practices across onboarding, activation, and engagement journeys. 

• Establish clear KPIs and executive-level reporting, including CX and customer health metrics, ensuring transparency and accountability. 

• Influence decision-making at the highest levels, presenting sharp, insight-driven narratives that connect customer experience to business outcomes. 
• Continuously optimize the early customer experience, including onboarding, activation, risk flows, and key customer touchpoints. 

Who You Are 

• A strategic operator who combines big-picture thinking with a strong bias for execution. 

• Deeply customer-centric, with hands-on experience leveraging customer insights, VoC programs, and CX metrics to drive business decisions. 

• Highly analytical and hypothesis-driven, with the ability to connect customer behavior and experience to churn and retention outcomes. 
• Proven ability to lead without authority, influencing senior stakeholders and aligning diverse teams toward common goals. 

#LI-PB1

Role Overview 

We are seeking a seasoned, strategic Early Lifecycle Retention Lead to own and elevate Payoneer’s company-wide approach to early customer retention. This is a high-impact role focused on reducing churn within the first 90 days of the customer lifecycle—one of the most critical drivers of long-term revenue and customer value in fintech. 

Operating at the intersection of data, customer insights, and strategy, this role requires a leader who has successfully partnered with senior stakeholders and led complex, cross-company initiatives. You will be responsible for defining the vision, building scalable frameworks, and embedding a customer-centric approach grounded in deep CX understanding and behavioral insights. 

What You’ll Do 

• Own and define the company-wide early lifecycle retention strategy, with clear accountability for reducing 0–90 day churn and improving activation and engagement metrics. 

• Leverage customer insights and CX data (quantitative and qualitative) to deeply understand customer behavior, pain points, and friction across the early journey. 

• Partner closely with senior leadership (VP/SVP level) across GTM, Risk, Product, and Operations to align on priorities, trade-offs, and execution plans. 

• Lead large-scale, cross-functional programs end-to-end, from problem definition through execution and measurable business impact. 

• Translate complex data into strategic insights, combining behavioral analytics with customer feedback (VoC, NPS, support signals) to identify churn drivers. 

• Drive root-cause analysis at scale, incorporating both operational gaps and customer experience breakdowns across the lifecycle. 

• Design and implement structured retention and CX frameworks, embedding best practices across onboarding, activation, and engagement journeys. 

• Establish clear KPIs and executive-level reporting, including CX and customer health metrics, ensuring transparency and accountability. 

• Influence decision-making at the highest levels, presenting sharp, insight-driven narratives that connect customer experience to business outcomes. 
• Continuously optimize the early customer experience, including onboarding, activation, risk flows, and key customer touchpoints. 

Who You Are 

• A strategic operator who combines big-picture thinking with a strong bias for execution. 

• Deeply customer-centric, with hands-on experience leveraging customer insights, VoC programs, and CX metrics to drive business decisions. 

• Highly analytical and hypothesis-driven, with the ability to connect customer behavior and experience to churn and retention outcomes. 

• Proven ability to lead without authority, influencing senior stakeholders and aligning diverse teams toward common goals. 

#LI-PB1

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. 

Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.

Key Responsibilities:

• Develop a deep understanding of data systems, pipelines, and infrastructure.
• Analyze current data processes, identify gaps, and recommend scalable improvements.
• Drive initiatives to enhance data accuracy, coverage, and efficiency.
• Collaborate cross-functionally with Data Engineering, Product, and Research teams.
• Perform advanced data analysis and present insights in a clear, structured manner.
• Mentor junior analysts and contribute to team capability building.
• Work independently to explore data, propose solutions, and execute projects end-to-end.

Core Competencies:

• Strong analytical thinking and problem-solving ability.
• Ability to work in ambiguous environments and drive clarity.
• Effective communication with both technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.
• Self-driven with the ability to manage multiple priorities.

Required Qualifications:

• 5+ years of experience in analytics, data operations, or quantitative research.
• Advanced proficiency in SQL, Python, BigQuery, and Excel.
• Strong understanding of ETL processes and data quality challenges.
• Experience working with large-scale datasets.
• Familiarity with AI/ML concepts including NLP and data modeling.

Preferred Qualifications:

• Experience building or deploying AI/ML solutions.
• Exposure to tools like Tableau or Looker Studio.
• Experience with Databricks, AWS, or Airflow.
• Background in product-driven or project-based environments.

Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.

#LI-SG2

#LI-Hybrid

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Summary:
Tekion seeks an exceptionally talented and seasoned Senior Staff Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is a seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. 

Key Responsibilities:

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.
• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.
• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.
• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.
• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.
• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.
• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.
• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI

Core Competencies & Technical Expertise
The successful candidate will demonstrate mastery in the following areas:

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.
• Deep Learning:
  • Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
  • Extensive experience implementing advanced neural network architectures.
  • Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy) methodologies.
• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.
• Technical Proficiencies:
  • Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.
  • Proficiency with cloud computing platforms (GCP, Azure, AWS).
  • Expertise in experimental design (A/B testing, causal inference).
  • Proficient in version control systems (Git).

Required Qualifications

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.
• A minimum of 10+ years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.
• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.
• Proven experience in programming, data manipulation, and building models in a business context.
• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.
• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.
• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.
• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.
• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.
• A commitment to continuous personal and team development within a collaborative, high-performance culture.

Address:

Bangalore Office  

Tekion India Private Limited 

6th, 7th & 8th Floor, Helium, Bagmane Solarium City, Doddanekkundi Village, KR Puram Hobli, East Taluk, Bangalore - 560037 

Chennai Office

Embassy Splendid Zone, Block 2, 9th floor, Velan Nagar, Arulmurugan Nagar, Old Pallavaram, Chennai, Tamil Nadu 600043

Scopely is looking for a Lead/Manager Economy and Systems Designer to join the Looney Tunes game team. The position can be based in India (preferably Bangalore) or Tel Aviv, Israel or Barcelona, Spain.

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.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

As the Lead/Manager Economy & Systems Designer, you will be responsible for shaping the economy and gameplay systems of Looney Tunes: World of Mayhem. You will ensure a balance between engaging progression, sustainable monetization, and deep, satisfying systems that keep players returning over a long lifecycle. This is a senior role requiring strong collaboration, systems thinking, and a deep understanding of the mobile F2P space.

• Economy & Progression Design

• Design and optimize in-game economies - including currencies, pricing models, existing systems, upcoming features, and progression paths - from early player onboarding through elder player end-game - to drive long-term engagement and maximize revenue
• Conduct segmentation analysis and craft economy models tailored to different user archetypes and LTV tiers
• ​​Define economy KPIs and build mathematical models & simulations to monitor, predict and validate the impact of features on game balance and player behavior

• Game Design Leadership
  • Own feature development from pitch to live operation
  • Gain complete understanding and ownership of back-end Admin tool for game configurations
  • Design, implement and balance new features and systems: Combat systems, Player progression, Game Modes and feature loops
  • Lead the design of tools and workflows that enable scalable live operations and event-driven gameplay
  • Generate clear feature documentation, user flows, diagrams, wireframes, and/or prototypes for new features and systems
  • Analyze game data and player behavior to iterate and evolve live features
    
    
• Collaboration & Strategy
  • Collaborate with the product team, Engineers, Artists & LiveOps to design the optimal daily experience for our players, and deliver impactful features  
  • Mentor and support junior designers on economy and systems design best practices
  • Influence the product roadmap with innovative, data-informed design proposals

What We’re Looking For

• 5+ years of experience in mobile F2P game design with a focus on economy and systems design
• Demonstrated expertise in crafting game features, systems, and economies on at least one shipped live-operated game, preferably RPG or strategy-based
• Experience modelling/maintaining complex Economies (MMO, Strategy-MMO, RPG)
• Ability to simulate and prototype progression systems in Excel, and familiarity with Unity
• Strong game balance instincts paired with quantitative & analytical decision-making
• Bachelor’s degree in Game Design, Economics, Statistics, or related field

Bonus Points

• Knowledge of live-ops tooling and event planning systems
• Familiarity with Looney Tunes IP and a passion for character-based RPGs
• Experience mentoring or leading small design teams

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!

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

As a Group Product Manager, you’ll be a key product leader in the Growth Area. The Growth Area is responsible for growing Duolingo’s user base by making our app so fun, delightful, and effective that our learners stick around, make real progress, and tell their friends all about Duolingo!

🧠 You will...

• Define the product strategy to make Duolingo a daily habit for millions of learners in India and the Asian Pacific region
• Identify and execute on product opportunities in partnership with engineering, design, marketing, strategy, localization, and other functions
• Drive product features through their entire creative cycle: ideation, specification, experimentation, analysis, launch, and iteration
• Surface insights from quantitative and qualitative data to inform product decisions and champion Indian and APAC learners
• Communicate with global teams across time zones
• Lead and grow a product team

✅ You have...

• A track record of driving impact as an individual contributor on a consumer product team
• Experience leading and growing small teams of product managers
• High autonomy, resourcefulness, and creativity
• Excellent spoken and written communication skills
• Strong data, design, and product sense
• A desire to make the world a better place through technology and education

Position Summary

We are seeking a seasoned deal-maker and manager to lead our media & deal strategy covering partner monetization efforts nationally. The role sits on the central media solutions team. This is a unique opportunity to take a leadership position on how Interactive Avenues structures and executes agreements with media companies and creators. The ideal candidate will have experience with complex contract negotiations with a solid understanding of the evolving media landscape locally. This person must have experience building and managing large relationships and/or responsible for strategic negotiations across verticals. In this role, you will work closely with cross-functional partners to execute programs and partnerships that drive meaningful value. You will work closely with the local teams, who serve as the primary clients for this role, as well as operations and legal, among others, to deliver results. The Partnerships lead at Interactive avenues works closely with the leading partners in the world & in local markets, is responsible for both managing those relationships and driving product adoption. You should have managed clients with overall budget of 100 Cr.

Key Responsibility

• Be the primary deal-maker and contract negotiator for the central team, eventually helping to scale efforts by building a team
• Review and inform policy and legal agreements to support broader programs
• Inform the operational requirements for managing partner programs, such as reporting details, payment flows, etc
• Support program creation leveraging quantitative analysis and industry research
• Represent Interactive Avenues in negotiations and meetings with executives from other companies
• Execute in an intense & fast-paced environment
• You would be expected to have full understanding on all of your portfolio of clients
• Understand the different stakeholders within agency and start building relationship with them.
• Helping your team to craft the agency response to the client briefs.
• Ability to lead strategic discussions with clients.
• You should be able to have full understanding of what is happening on each clients & lead your team in that aspect.
• Create a 360 planning approach for new campaign
• Be visible as the leader of your team within the agency as well as with clients
• Start interacting with our regional agency teams on client where applicable
• Ability to start driving agency KPIs; balanced with client KPI
• Lead the annual planning process for our clients.
• Be the seamless bridge between local clients & regional/global agency team.
• Converse on measurement metrics across touchpoint based on campaign objectives
• Win awards in both internal and external.

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
• Assists in interviewing, hiring, training, mentoring, developing, and evaluating team members
• Provide training to their direct reports and bellow teams
• Suggest improvements in process and productivity optimization

Skills

• Ability to forecast expected outcomes of Brand and ROI campaigns and manage spend accordingly
• Proven expertise with relevant platform tools (DoubleClick Bid Manager, Google Adwords tools, Facebook tools etc), Media Research Tools (Comscore, GWI, TGI etc)
• Strong written and verbal communication skills
• Strong organizational skills, detail-oriented and capable of multi-tasking
• Superb client relationship and management skills
• Proven problem solving skills and ability to think outside of the box
• Detail oriented and responsive, deadline-driven with strong quantitative reasoning skills
• Provide timely and actionable feedback to the team to aid in their development and improvement

Qualifications

Education:

• Masters/Bachelor’s Degree
• Minimum 12 years as a Media Planner & Buyer

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.

Position Summary

We are looking for you - The, Performance Marketing Director has ultimate accountability for the effectiveness of the entire Performance Marketing team. As a performance media expert, this person will have expertise in an array of addressable paid advertising strategies that utilizes tech based buying and optimization tools to positively affect our client’s ROI including search, display, social, mobile, local, Ecom and video. This role will have an increasing focus on Demand Generation and Response Management as our clients look to monetize online. This person should also understand the interplay and synergy between traditional and digital media and have the ability to build and scale an integrated team of performance practitioners.

The Director is responsible for leading the Execution teams of a large enterprise client’s performance marketing accounts towards stated client and company objectives. The Director will manage and direct Performance Media teams, including Group Heads, Operations Supervisors, Senior Manager, Manager and Executives. Proven account management and team leadership experience is essential, along with experience in online marketing and digital media.

Account Management

• Develops, manages, and monitors client service delivery executions of the assigned accounts
• Oversees process development and execution management
• Assures quality control of all media planning and implementation
• Enforces Best Practices
• Prepares and presents annual financial plans and human resources plans

Performance Media

• Implements Planning Process for the assigned accounts and holistic media planning across all digital disciplines paid search, display, social, native, video and Ecom
• Coordinates efforts across different digital media channels to drive optimized recommendations
• Continuously evaluate and improve upon all digital media opportunities
• Attend to client meetings as needed, interface as needed with executive level and middle management level on client side during meetings and presentations
• Participates in building and evolving the PM practice, vision and areas of expertise
• Understands and expands business prospects by having a thorough understanding of all the services provided by the agency.

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
• Assists in interviewing, hiring, training, mentoring, developing, and evaluating team members
• Conducts performance reviews and career path plans for direct reports
• Provide training in cross media planning to their direct reports and bellow teams

Skills

• Ability to forecast expected outcomes of Brand and ROI campaigns and manage spend accordingly
• Proven expertise with relevant platform tools (DoubleClick Bid Manager, Google AdWords tools, Facebook tools etc.), Media Research Tools (ComScore, GWI, TGI etc.)
• Strong written and verbal communication skills
• Strong organizational skills, detail-oriented and capable of multi-tasking
• Superb client relationship and management skills
• Proven problem solving skills and ability to think outside of the box
• Detail oriented and responsive, deadline-driven with strong quantitative reasoning skills
• Provide timely and actionable feedback to the team to aid in their development and improvement

Qualifications

Education:

• Graduate/ Post Graduate Degree or related work experience
• Concentration in Marketing, Finance, Digital Media, Accounting, or related field preferred
• Google and Facebook Blueprint Certified Professional
• Extreme attention to detail with the ability to prioritize and execute in a fast-paced environment

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.

Opportunity

Get Well is seeking a talented and innovative Senior AI Engineer to lead the development and deployment of advanced AI solutions within a mission-driven healthcare environment. This role is ideal for a seasoned professional with hands-on experience in machine learning (ML), large language models (LLMs), and generative AI (GenAI), with a strong focus on productionizing scalable and reliable models.

As a Senior AI Engineer, you will drive end-to-end AI development—from ideation and training data pipelines to model deployment and continuous improvement—while addressing unique healthcare data challenges. You’ll collaborate across functions including product, engineering, data science, and clinical experts to deliver high-impact AI applications, including voice assistants and multimodal systems tailored to real-world care settings.

Responsibilities

AI Model Development & Customization

• Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases.
• Build multimodal AI systems that integrate text, structured medical data, and images.
• Optimize models for accuracy, latency, and resource efficiency in production settings.
• Evaluate and integrate speech-to-text (STT) and text-to-speech (TTS) models into conversational interfaces.
• Customize foundation models using domain adaptation and prompt engineering techniques (e.g., PEFT, LoRA).
• Develop AI algorithms from healthcare data and guide them through a full production lifecycle into deployed solutions.

Productionization & Deployment

• Lead model deployment end-to-end with cloud-native tools and infrastructure (Azure ML).
• Implement model performance monitoring, drift detection, and auto-retraining pipelines.
• Ensure AI solutions are scalable, reliable, and aligned with security and compliance requirements in healthcare environments.

Technical Leadership

• Provide technical guidance to junior AI engineers.
• Conduct design reviews and drive the adoption of best practices in model reproducibility, validation, and explainability.
• Lead the evaluation and integration of cutting-edge ML research and open-source frameworks.
• Contribute to architectural decisions aligned with clinical, business, and regulatory goals.

Data Engineering & Management

• Process and curate large-scale, structured and unstructured healthcare datasets.
• Design synthetic data generation strategies where needed to augment training.
• Handle noisy, imbalanced, or incomplete data through robust preprocessing and enrichment.
• Ensure HIPAA and GDPR compliance in data handling, encryption, and access management.
• Leverage EHR and clinical data from the provider side to engineer healthcare data pipelines and training corpora.

Bias Mitigation, Evaluation & Governance

• Lead the creation of robust evaluation strategies combining domain-specific KPIs (e.g., AUC, accuracy) with clinical relevance.
• Proactively identify, measure, and mitigate algorithmic bias, especially in patient-facing models.
• Conduct adversarial stress testing and ensure models meet safety, fairness, and ethical standards.
• Define model KPIs aligned with measurable impacts on clinical outcomes, patient safety, and workflow efficiency.

Cross-Functional Collaboration

• Translate stakeholder and product needs into robust, scalable AI solutions.
• Collaborate with clinical experts to vet model behavior and expected impact in patient and caregiver workflows.
• Participate in Agile processes including sprint planning, demos, and technical retrospectives.
• Manage documentation of model architectures, version changes, testing strategies, and key design decisions.

Learning, Innovation & Thought Leadership

• Stay up-to-date on the latest LLM advancements, STT/TTS developments, voice interaction technologies, and GenAI frameworks.
• Evaluate new models and methods (e.g., RAG, LangChain, Whisper, Tacotron) for their potential impact and feasibility.
• Advocate for responsible AI and lead initiatives in privacy-preserving and explainable ML.
• Contribute to a culture of continuous learning, internal knowledge sharing, and open technical dialogue.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
• Minimum 6+ years of industry experience in AI/ML including at least 2 years with GenAI, NLP/NLU, and LLMs.
• Must have software development experience at a healthcare company, particularly in the provider space (e.g., hospitals, clinical systems) with exposure to EHRs or related healthcare data domains.
• Proven experience developing AI algorithms using healthcare datasets and integrating them into production products or services.
• Experience building voice-enabled products or assistants is highly advantageous.

Technical Skills

• Expert in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with training/fine-tuning LLMs and modern NLP/NLU techniques.
• Hands-on expertise with STT (e.g., Whisper) and TTS (e.g. Elevenlabs) models.
• Proficient in MLOps, including model serving, experiment tracking, container orchestration, and CI/CD pipelines.
• Strong understanding of production-grade solutions using Azure.
• Familiarity with version control (e.g., Git), collaboration tools, and responsible AI practices.
• Familiar with vector databases, retrieval-augmented generation (RAG), and API deployment.
• Comfortable with healthcare regulatory frameworks (e.g., HIPAA, GDPR) and ethical data use policies.

Professional Attributes

• Curious and self-motivated, with a passion for impactful healthcare innovation.
• Effective communicator who can tailor technical concepts to non-technical stakeholders.
• Exceptional problem-solving and quantitative reasoning abilities.
• Team-oriented, growth-minded, and proactive in driving projects forward.
• Highly organized and focused on quality, reproducibility, and compliance.
• Passionate about applying AI to improve outcomes in real-world healthcare systems.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  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.

The Foresight & Behavioral Insights Unit exists to decode how consumers behave, think, and evolve — and to make that intelligence an unfair advantage for Glance. The team spans consumer understanding, market intelligence, experimentation, and Voice of Consumer programs. We work closely with Product, Growth, Marketing, and Data Science, and our output shows up in strategy decks, product roadmaps, and partner conversations alike. 

The Role  

We're looking for a Consumer Insights Lead who owns the quantitative layer of our consumer research practice — designing studies, building segmentation frameworks, and producing the behavioral intelligence that Growth and Leadership act on. This role sits at the heart of how we understand our users at scale, and it's expanding: we want someone who can go beyond quant when the question demands it. 

What You'll Do 

Research Design & Execution 

• Design and run quantitative consumer research studies — surveys, panel studies, in-app intercepts, and longitudinal tracking programs
• Own the Voice of Consumer program: structured feedback loops, sentiment tracking, and behavioral shift monitoring across our user base
• Develop survey instruments that meet the methodological bar for both speed and rigour 

Segmentation & Behavioral Intelligence 

• Build and maintain behavioural segmentation frameworks and cohort profiles in collaboration with Data Science
• Identify decision heuristics, usage patterns, and attitudinal clusters that explain how different user groups engage with the product
• Generate hypotheses for the data team based on qualitative and survey signals 

Stakeholder Enablement 

• Translate behavioral data into clear, actionable recommendations for Growth, Leadership, and Marketing
• Provide consumer context for growth initiatives, A/B test design, and conversion/drop-off investigations
• Brief BD and Account Management teams on user voice for OEM and partner conversations 

Research Operations 

• Manage relationships with external research panel vendors and participant recruitment pipelines
• Maintain quality standards across vendor-sourced studies and ensure data integrity 

What We're Looking For 

Required 

• 3–6 years of experience in consumer/market research with a strong quantitative focus
• Proven ability to design, field, and analyse quantitative consumer studies end-to-end (surveys, panels, behavioral data)
• Experience building or contributing to consumer segmentation and cohort-based analysis
• Comfort working cross-functionally — you've presented findings to Growth, Product, or Leadership and influenced decisions
• Experience managing external research vendors or panel providers
• Strong written communication: you can turn a complex dataset into a one-page brief that a non-researcher will act on 

Preferred 

• Experience adapting research for cross-cultural or international markets
• Global panel management experience: recruiting and managing multi-country participant panels
• Exposure to qualitative methods (IDIs, diary studies, focus groups) — you don't need to be a qual specialist, but you know when to use them 
• Background in consumer tech, mobile products, or digital platforms
• Familiarity with behavioral economics frameworks or decision heuristics research 

Why This Role 

• Your work lands in product roadmaps and marketing strategy — not slide archives
• You'll work closely with Data Science on user profiling and hypothesis generation, not in isolation from the data layer
• The unit is scaling: you're joining at a moment when the team and its charter are both expanding
• Consumer foresight is positioned as a strategic differentiator here, not a support function
• Glance operates at genuine scale — your insights cover a user base in the hundreds of millions 

Senior Product Analyst is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders.

What you’ll do:

● You will model data in order to create reporting infrastructure/dashboards for business process

management and data mining

● You will be closely working with the business/product teams to enable data driven decision making.

● You will execute quantitative analysis that translates data into actionable insights

● You will drive data driven decision making through the stakeholders

● You will influence new opportunities for business based on internal/ external data

● You will drive the team to adopt new and innovative ways of solving business problems

What you’ll need:

● Educational/ Work Qualifications

○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a

reputed institute or an MBA from a reputed institute

○ 3+ Years of experience in relevant role

● Required abilities / competencies:

○ Ability to breakdown any problem into components that can be collaboratively solved

○ Ability to negotiate on the scope of the problem through business understanding

○ Penchant for business and persistence to work with data to derive insights

○ Experience in analyzing very large, complex, multi-dimensional data sets

○ Ability to find innovative solutions to mitigate dependencies and risks for deliverables

○ Ability to independently plan and execute deliveries

○ Exceptional written and verbal communication skills

○ Ability to multitask and work on a diverse range of requirements

● Technical capabilities:

○ Expertise in SQL, Excel, other scripting languages (R, Python, etc.)

○ Good background in statistical modelling and experience with statistical tools such as R, Python, Spark

○ Working experience with BI tools(Power BI, Superset)

About SAI Group

SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies' success.

Role Overview:  

As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. 

What You Will Do 

Experimentation and Research: Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. 

Development and Analysis: Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. 

Prototyping and Innovation: Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. 

Requirements 

• Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. 
• Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications.
• Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools.
• Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc.  
• Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies.  
• At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context.
• Strong quantitative and qualitative analytical skills.
• A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping.
• Eagerness to lead and influence the development of cutting-edge intelligent platforms. 

Why Join Us?

At SAI Group, 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.

Role Overview:  

As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. 

What You Will Do 

Experimentation and Research: Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. 

Development and Analysis: Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. 

Prototyping and Innovation: Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. 

Requirements 

• Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. 
• Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications.
• Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools.
• Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc.  
• Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies.  
• At least 8 years of work experience in an applied AI science or AI engineering role within a science-driven product development context.
• Strong quantitative and qualitative analytical skills.
• A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping.
• Eagerness to lead and influence the development of cutting-edge intelligent platforms. 

Role Overview

This role sits at the core of how the platform works in practice for builders and solution teams.

You will translate complex platform capabilities—reusable components, workflows, and AI-driven systems—into intuitive, structured, and usable experiences. Beyond feature-level design, you will shape end-to-end workflows, ensuring clarity, usability, and scalability across use cases.

What You Will Own

Workflow & Experience Design

• Own end-to-end UX for key workflows from ideation to high-fidelity execution
• Translate complex, multi-step systems into intuitive interaction models
• Craft interfaces that simplify configuration-heavy, enterprise workflows
• Balance usability with power, flexibility, and correctness

Builder Experience & Usability

• Identify and remove friction in day-to-day builder workflows
• Design for both technical and semi-technical personas
• Enable smooth progression from exploration to production usage
• Ensure users understand system behavior, outputs, and tradeoffs

Prototyping, Research & Iteration

• Rapidly prototype concepts (low → high fidelity) to validate ideas
• Conduct user research (interviews, usability tests) and synthesize insights
• Use qualitative and quantitative signals to iterate and improve designs

Design Systems & Consistency

• Contribute to and evolve a scalable design system
• Ensure consistency across features and modules
• Reuse patterns effectively across workflows

Collaboration & Execution

• Partner closely with Product, Engineering, AI, and Solution teams
• Translate ambiguity into structured UX solutions and clear artifacts
• Participate in iterative design, reviews, and validation cycles

What We Are Looking For

Experience

• 6–8 years of experience in UX/UI design
• Experience designing B2B SaaS, platforms, or complex applications
• Strong portfolio demonstrating end-to-end problem solving

Skills & Capabilities

• Strong foundation in interaction design and information architecture
• Ability to design structured workflows and guided experiences
• Familiarity with technical or developer-facing products
• Proficiency in Figma (advanced components, prototyping)
• Ability to simplify complexity into intuitive UI patterns
• Exposure to AI/ML-powered products
• Experience with workflow tools, low-code platforms, or developer tools
• Ability to rapidly prototype ideas (low to high fidelity) to validate concepts
• Experience conducting user research and translating insights into design decisions

Mindset

• Strong ownership of features and user experience
• High bar for quality, clarity, and usability
• Comfortable working in ambiguity and fast-paced environments

What Success Looks Like

• Key workflows are intuitive and easy to navigate
• Reduced user friction in complex tasks
• Consistent UX patterns across the platform
• Faster onboarding and improved builder productivity

Why Join Us

• Opportunity to define UX for a category-defining AI platform
• Work on high-impact enterprise problems
• Be an AI-first Product Designer

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   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

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. 

Who are we and What do we do? 

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. 

What’s the InMobi family like?   

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. 

What do we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

Team Overview

InMobi’s Media Buying team works to manage revenue operations and is focused solely on buying media for the company, globally (including China Export Demand) across UA, REM and Brand Awareness. We are focused on winning new business, growing InMobi’s market share, and developing our reputation of being an industry leader.

What will you be doing : 

As part of the Media Buying team, you will be playing a critical operations and revenue management role at InMobi. You would be completely responsible for setting campaigns, managing and delivering revenue on the “DSP Platform” and you are expected to work closely with all stakeholders (regional sales, supply, product, engineering, marketing and ad ops teams) to drive cross functional support to maximize revenue delivered. He/ she would have to drive revenue reporting and tracking, data analytics and develop insights into supply needs, pricing optimization, product/ tech liaising exercises.

We are looking for sharp, analytical and growth oriented professionals who can solve complex problems in a structured manner, have experience of working in cross functional roles and develop close strategic relationships with stakeholders, while proactively and clearly communicating data and insights to sales, supply, product teams and to global leadership.

You are expected to work for growing the Revenue and Margin for the region/pod allocated by actively collaborating with Customer Success/ Sales teams by understanding the capabilities of the DSP Platform. 

Key Responsibilities 

• Day to day management of mobile display/video campaigns across various DSPs/Platforms (onboarding, Creation, Optimization, Reporting and insights etc).
• Complete ownership of revenue (plus margin) management for a portfolio of advertiser clients - Work on the account growth strategy with the Sales and Account Management team.
• Close Monitoring of campaign behavior and ability to act instantly on important issues affecting revenue for the company. Meet and exceed campaign goals through campaign strategy and optimization.
• Work with huge volumes of data to arrive at meaningful insights and strategies about the campaigns.
• Own weekly exec level revenue/ margin reporting for the portfolio of accounts.
• Ability to work with various stakeholders like Account management, Product and Tech team to identify and maximize revenue opportunities.
• Ability to take ownership and getting things done in the stipulated time.

What do we require from you?

• At least 5 years of experience in a role encompassing Account/ Revenue management and data analysis, preferably (not mandatory) from digital/ programmatic/ad tech background.
• Tech or B.Sc in Statistics, Mathematics, or other quantitative or analytical field.

Ideal candidates must possess: 

• Good relationship management skills, communication, attention to detail, analytical mindset, technical aptitude with a basic to medium level understanding of the digital ad marketplace.
• Strong, robust MS Excel skills and proven competency in data analysis and logical reasoning.
• Prior client facing experience while owning revenue management for a product/ business line/ account/ geography (Good to have)
• Ability to work across different global cultures and in a matrix style environment.
• Structured thinking: Ability to think through issues in a structured manner and use different frameworks to solve problems.
• Communication skills: Ability to present recommendations in a logical and clearly articulated manner.
• Basic to medium proficiency in the ad tech ecosystem of ad exchanges/ networks, DSPs, 1st and 3rd party audience targeting and technology, online measurement, ad-operations, delivery and measurement platforms.

Nice to have: 

• Outstanding teamwork, organizational & interpersonal skills, with tremendous attention to detail. 
• Ability to work across different global cultures and in a matrix style environment 

InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The Community You Will Join: 

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics.

The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimisation of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritisation of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.

We are looking for a hands-on lead advanced analyst  who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.

The Difference You Will Make:

• Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.  
• Drive day to day product analytics and build scalable analytical solutions
• Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.

A Typical Day: 

• Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space. 
• Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
• Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
• Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
• Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations.
• Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
• Hire, mentor and up-level team capability in AI analytics, experiment best practices and storytelling.
  
  

Your Expertise:

• Min 8 or more years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Strong expertise in Python, SQL, A/B testing platforms and best practices
• Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
• Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).
• Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
• Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus
• Contact center domain and market place domain knowledge would be a plus

Our Commitment To Inclusion & Belonging: 

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

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. 

Overview of job

We are currently looking for a Director – Strategy to join us in Bangalore office. In this role, you will be responsible for crafting the digital narrative for brands on scaled digital platforms, leading to successful brand outcomes

Reporting of the role

This role reports to: Strategy Lead, with dotted line reporting to the Business lead

3 best things about the job:

1. You will be responsible for building India -centric cultural and audience understanding relevant for the brand through superior storytelling, leveraging local insights, trends & socio-economic shifts
2. This would help unlock category, consumer cultural, competition and shopping insights that lead to improved media recommendations for existing clients
3. Lead strategic conversations with senior clients on identifying growth levers - new audiences, platforms and media models to drive brand metrics

In this role, your goals will be:
In three months:

• Get deep understanding of the category, consumer and competition approach for your set of brands
• Present deep dive on audience behaviours, attitudes, emerging trends relevant to be addressed in marketing – both qualitative and quantitative
• Start engaging directly with the client on key projects
• Work with the media team in landing the implications of the insights on media recommendations

In six months:

• Regular engagement with client with a cadence on strategy
• Working on identified large strategy project along with account team, based on business challenge
• Work with cross-functional teams as the strategy expert guiding content, influencer and other brand activations

In 12 months:

• Delivering Breakthrough work by new thinking around audiences, consumer journeys, platforms that influence brand goals
• Bringing cross-category learnings together to set up client strategy workshops, setting up partner days, and regular reviews with clients
• Involved in central strategy projects that deliver thought leadership with articles and whitepapers

What your day job looks like at WPP Media:

• Research, research, research! – Build a strong foundation that elevates discussions with senior clients
• Crafting narratives that address the business/brand problem statement with strong insights
• Working with cross-functional teams including content, media planners to land the implications of these insights into action plans
• Strong overview and custodian of the account’s strategic direction, business challenges and emerging oppurtunities

What you’ll bring:

• Extremely well-read, well informed about marketing trends especially in the travel sector, having a strong pov on culture, audiences, localised insights, brand building and emerging role of technology in marketing
• Extreme curiosity – investigating the why of something, being able to draw patterns and learnings from multiple industries and adjacencies
• Excellent presentation and storytelling skills –Independently building a client-centric perspective, ability to confidently present to senior management, make executive level visually stunning presentations
• Familiarity with digital marketing principles including OTTs, Video, Social and KOLs
• Must be able to articulate consumer journey, key touchpoints/platforms and brand behaviour on platforms needed for brand growth
• Optimistic and collaborative – Being able to successfully work across functions, disciplines while being seen as a valuable contributor and enabler

Minimum qualifications:

• 8+ years with a blend of account planning and media agency exposure
• MBA++ with marketing specialisation
• Preference for working on global brands in senior roles presenting to top management
• Must understand fundamentals of digital marketing including Google, Meta certifications.

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. 

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. 

Profile Summary: A highly skilled and client-focused Client Analytics Manager specialising in delivering insightful measurement and performance analysis for global clients. Proficient in leveraging various data sources and analytical tools to provide strategic recommendations that optimise marketing campaigns and drive business outcomes. Expertise in managing client relationships, translating complex data into clear, actionable insights, and ensuring the delivery of best-in-class analytical support for high-value accounts.  

Key Skills: 

• Strong analytical and quantitative skills with a focus on marketing performance, business impact, and client strategy. 

• Proficiency in interpreting measurement data from various vendors to provide strategic insights. 

• Experience with data visualisation tools (e.g., Tableau, Power BI) and advanced Excel for reporting and analysis. 

• Familiarity with advertising platforms like DV360 and The Trade Desk, enabling effective understanding of campaign data and optimisation opportunities. 

• Ability to translate complex data analysis into clear, concise, and actionable recommendations for clients and internal stakeholders. 

• Excellent communication and presentation skills, with a proven ability to manage client expectations and foster strong relationships. 

• Solid understanding of marketing KPIs, campaign optimisation, and measurement methodologies. 

• Experience with SQL and/or Python for data extraction and preliminary analysis. 

Description: 

• Manage and deliver high-quality analytics and measurement projects for a portfolio of global clients 

• Analyse campaign performance data, leveraging insights from various measurement vendors to identify opportunities for optimisation and demonstrate ROI. 

• Collaborate closely with client teams and internal stakeholders to define analytical objectives and deliver strategic recommendations that align with business goals. 

• Develop and present compelling reports and presentations to clients, clearly articulating findings, their business implications, and fostering a data-driven culture. 

• Ensure the consistent delivery of best-in-class analytical support, protecting existing revenue streams, maintaining client trust, and enhancing confidence in prop media solutions. 

• Provide guidance on measurement strategies and contribute to the evolution of analytical frameworks for key clients. 

Education: 

• Bachelor's Degree in Marketing, Business Analytics, Statistics, or a related quantitative discipline. 

Ideal Certifications: 

• Google Analytics Individual Qualification 

• Google Ads Certification 

• Tableau/Power BI Certification 

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. 

#LI-GOC

Tekion seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale.  
 
Key Responsibilities 

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges. 

• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions. 

• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives. 

• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services. 

• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation. 

• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth. 

• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership. 

• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI 

Core Competencies & Technical Expertise 

            The successful candidate will demonstrate mastery in the following areas: 

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI. 

• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data. 
   
   

Deep Learning: 

• Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch. 

• Extensive experience implementing advanced neural network architectures. 

• Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g.,spaCy) methodologies. 

• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications. 

Technical Proficiencies: 

• Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous. 

• Proficiency with cloud computing platforms (GCP, Azure, AWS). 

• Expertise in experimental design (A/B testing, causal inference). 

• Proficient in version control systems (Git). 

Required Qualifications 

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field. 

• A minimum of 7 - 9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value. 

• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach. 

• Proven experience in programming, data manipulation, and building models in a business context. 

• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences. 
   

Ideal Candidate Profile 
 

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving. 

• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable. 

• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred. 

• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences. 

• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams. 

• A commitment to continuous personal and team development within a collaborative, high-performance culture. 

Perks and Benefits

• Competitive compensation 

• Generous stock options 

• Medical Insurance coverage 

• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies 

About Moniepoint

Everyone has a dream, and achieving that is key to their happiness. Moniepoint Inc is on a mission to provide financial happiness for people of the world by powering the dreams of businesses, their employees and customers. Since 2015, we have grown to 1500 employees and process over $100 billion annually for 1.8 million merchants through our all-in-one digital financial services platform. Moniepoint Inc through its subsidiaries which include Moniepoint MFB and TeamApt ltd offers payments, banking, credit and business management tools. We currently process the majority of the POS transactions in Nigeria and are Africa’s second-fastest-growing fintech.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.
Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.

About You

The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.
The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.
The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.
Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.

What you will get to do:

1. Strategic Leadership & Framework Design

• Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
• Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
• Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.

2. Functional Leadership of the Stewardship Team

• Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
• Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
• KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.

3. Tech Stack & Automation Ownership

• Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
• Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
• Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.

4. Risk, Compliance & Culture

• Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
• Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
• Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.

Qualifications:

• Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
• Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
• Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
• Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
• Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Success Looks Like

• Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
• The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
• Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.
  

What we can offer you

• Culture - We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical panel interview with Department Leads
• Technical take-home assessment
• A behavioral and technical interview with a member of the Executive team
• All interviews stages are Virtual

• Strategic OpEx Ownership: Lead the end-to-end operating expense forecasting process. You will act as a financial consultant to department heads, conducting monthly BvA reviews, managing headcount strategy, and driving the annual planning cycle.
• Advanced Cash Flow Modeling: Drive complex cash flow forecasting and develop sophisticated models to analyze liquidity movements and working capital trends over time.
• Consolidated Global Forecasting: Own and evolve the global forecast models. You will synthesize inputs from across the FP&A team to provide a cohesive, high-level view of variances and business drivers to the CFO and executive team.
• Systems & Process Architecture: Lead the charge on automation. You will optimize our planning and reporting tools, ensuring the finance tech stack scales with the company’s growth.
• Insights over Data: Move beyond "running extracts" to building dynamic reports and analytical frameworks that provide preliminary close insights and long-term trend analysis.
• Strategic Advisory: Conduct high-impact ad hoc analysis to support contract negotiations, M&A due diligence, and new productivity or cost-saving initiatives.

• 5+ years of progressive experience in FP&A, Corporate Finance, or Investment Banking, ideally within a high-growth or public company environment.
• Bachelor’s Degree in Finance, Accounting, Economics, or a related quantitative field (MBA or CFA a plus).
• Advanced Financial Modeling: Expert-level Excel skills with the ability to build scalable, complex, and error-proof models.
• Technical Proficiency: Strong working knowledge of BI tools (e.g., Tableau, Looker).
• Business Partnership: Proven track record of influencing senior stakeholders and "translating" financial data into actionable business strategy.
• Operational Excellence: Demonstrated ability to manage multiple workstreams in a "startup-like" environment while maintaining a meticulous eye for detail.
• Problem-Solving: A proactive mindset that identifies bottlenecks before they occur and implements structural solutions.

#LI-Hybrid

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 & Impact

In this role, you will be responsible for measurement planning, weekly reporting, media and creative testing/analysis, and competitive research and analysis.

Skills and Experience

• Work with senior level Insights and Analytics staff to develop project timelines and deliverable schedules
• Deliver projects while communicating project progress, issues, and deliverables to manager and director
• Conduct client calls and bring in extended team members when necessary 
• Establish a strong relationship with day-to-day clients through a demonstration of industry knowledge and a deep understanding of client’s business objectives
• Develop creative and media strategies in collaboration with other departments
• Develop measurement plans and reports that are relevant to the client’s business and their creative/media testing
• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, OR related field; or equivalent professional work experience
• 2+ years of relevant work experience with Adobe Analytics, Google Analytics, and/or other web analytics tools Data Visualization experience (Tableau, Power BI, Domo)
• Knowledge of media industry research tools, including MRI, Media Metrix, and Nielsen Strong understanding of metrics, including Media and Quantitative business measures
• Advanced Excel skills and understanding of Microsoft Access and databases R, SAS, and SQL experience a plus

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. 

#LI-GOC

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You’ll Do

As a Data Scientist – Recommendation Systems, you will own and drive high-impact ML systems powering personalization across Glance products.

• Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.
• Lead rapid experimentation—from hypothesis formulation to offline evaluation and online A/B testing—balancing speed, rigor, and business impact.
• Develop and productionize end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and monitoring.
• Partner closely with Product, Engineering, Design, UX, and Business teams to translate product goals into scalable ML solutions.
• Monitor model health and performance, applying statistical techniques to ensure robustness and long-term effectiveness.
• Explore and prototype new ML techniques to improve relevance, engagement, and monetization.
• Act as a technical interface for stakeholders, clearly articulating trade-offs, results, and next steps.
• Contribute to Glance’s thought leadership through blogs, case studies, and industry conference talks.

What We’re Looking For

Core Expectations

• Deep expertise in Machine Learning, Data Science, and Recommendation Systems at scale.
• Strong applied understanding of experimentation, metrics, and causal reasoning in real-world systems.
• Ability to take models from idea → prototype → production → business impact.

Experience & Skills

• 10+ years of industry experience in ML/Data Science building large-scale recommendation or personalization systems.
• Hands-on experience applying techniques from ML, Deep Learning, NLP, Reinforcement Learning, Time Series, and Statistics.
• Strong programming skills in Python with production-quality code practices.
• Experience with big data ecosystems, especially Apache Spark.
• Familiarity with cloud platforms such as AWS, GCP (Vertex AI), or Azure.
• Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems) is a plus.
• Excellent communication skills—able to explain complex technical ideas clearly to non-technical stakeholders.
• High curiosity, strong problem-solving ability, and a bias toward learning and experimentation.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science.
• PhD is a plus, but not mandatory.
• We value diverse academic backgrounds—great data scientists come from many disciplines.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.    

  
What should you know about joining Glance?  
 

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   
  

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   
  

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

Role overview:

You will drive the vision and strategy for the Recommendation Systems team at Glance and will play a transformational role in driving the larger AI-first aspirations of the company. Recommendations team at Glance plays key role for all Ad revenue – programmatic and direct – on all Glance user experiences. Revenue has been growing steadily, and we’re well placed to make the trajectory steeper. Expertise in designing, building, and operating large-scale recommendation systems is a must.

You will have knowledge of current AI and machine learning capabilities and advances in the field. You should also be interested in the academics of data science but be more focused on practical application within recommendation and personalization technology. You will be able to clearly articulate the purpose of data science solutions to key stakeholders and customers, and then translate those into action for the business. The solutions you and your teams provide will encompass such things as product innovations, create efficiencies and automation across the business, improve data architecture and system architecture, mitigate business risks, and create process improvements. 

We are searching for an individual who thrives on describing a vision and inspiring a team to achieve it. We need a leader who will remove obstacles, break barriers, empower, communicate, and engage. Someone who truly harnesses advanced analytic data modelling systems to drive positive outcomes for our customers. From the defining of a strategy to the execution of it, you will also develop, collect, and report the objective metrics required to assure it. You will own driving employee engagement and increasing productivity across the Data Science team and into Engineering.

The impact you’ll make:

• Define the overall vision for our recommendation applications, focused on up-levelling internal use of machine learning
• Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments
• Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists
• Partner with our business and product teams to help predict system behaviour, establish metrics, identify bugs, and improve debugging skills
• Ensure data quality and integrity within our products as well as our teams
• Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs
• Conceive, plan, and prioritize data projects
• Lead data mining and collection procedures, especially focused on unstructured and siloed data sets
• Experiment with new models and techniques.
• Drive the implementation of models into Production through various Engineering teams
• Create a positive culture to maximize productivity and minimize attrition

The experience you'll need:

• PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
• 12+ years of ML related industry experience working on large-scale recommendation systems or personalization. With 5+ years in a leadership role.
• You would bring deep expertise in the applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems.
• You should be comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc. etc.
• You should be comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts
• Comfortable collaborating with cross-functional teams.
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.   

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

Role overview:

You will drive the vision and strategy for the Commerce Intelligence at Glance  such as Multi Modal Search, Recommendation Systems, Brand and Price Affinity Modeling and will play a transformational role in driving the larger AI-first aspirations of the company. The Commerce Intelligence team at Glance will play a critical role in driving commerce across the platform.

You will have knowledge of current AI and machine learning capabilities and advances in the field. You should also be interested in the academics of data science but be more focused on practical application within recommendation and personalization technology. You will be able to clearly articulate the purpose of data science solutions to key stakeholders and customers, and then translate those into action for the business. The solutions you and your teams provide will encompass such things as product innovations, create efficiencies and automation across the business, improve data architecture and system architecture, mitigate business risks, and create process improvements. 

We are searching for an individual who thrives on describing a vision and inspiring a team to achieve it. We need a leader who will remove obstacles, break barriers, empower, communicate, and engage. Someone who truly harnesses advanced analytic data modelling systems to drive positive outcomes for our customers. From the defining of a strategy to the execution of it, you will also develop, collect, and report the objective metrics required to assure it. You will own driving employee engagement and increasing productivity across the Data Science team and into Engineering.

The impact you’ll make:

• Define the overall vision for our commerce intelligence, focused on up-levelling internal use of machine learning.
• Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments.
• Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists.
• Partner with our business and product teams to help predict system behaviour, establish metrics, identify bugs, and improve debugging skills.
• Ensure data quality and integrity within our products as well as our teams.
• Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs.
• Conceive, plan, and prioritize data projects.
• Lead data mining and collection procedures, especially focused on unstructured and siloed data sets.
• Experiment with new models and techniques.
• Drive the implementation of models into Production through various Engineering teams
• Create a positive culture to maximize productivity and minimize attrition

The experience you'll need:

• PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or bachelor's with additional experience.

• 10+ years of ML related industry experience working on large-scale recommendation systems or personalization. With 3+ years in a leadership role.

• You would bring deep expertise in the applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems.
• You should be comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc. etc.
• You should be comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts
• Comfortable collaborating with cross-functional teams.
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects
• Experience in e-commerce is plus.

Who we are

Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.

Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale.

We onboard over a million new customers each month, process hundreds of billions of dollars in payments annually, and support tens of millions of users across our ecosystem. Our India team is a core part of this scale, with ~100 teammates based across Bengaluru, Mumbai, Pune, Chennai, Hyderabad, and Gurgaon. You’ll work in a fast-paced, high-impact environment alongside experienced operators from companies such as Gojek, Tide, Amazon, Walmart, Paytm, BharatPe, Zeta, Delivery Hero, Grab, and Groupon. If you want to build at scale, work with one of Africa’s highest-volume fintech data sets, and ship products that materially impact tens of millions of users, this is an exceptional time to join.

About the role: 

We’re looking for a hands-on Senior Data Scientist (Fraud) to help detect, prevent, and reduce fraud across one of the largest financial transaction ecosystems in Africa. Operating at the heart of real-time payments, identity, behavioural risk, and transaction monitoring, this role works at massive scale with direct, real-world impact.

You’ll partner closely with Fraud, Risk, Product, and Engineering teams to design, build, and deploy production fraud models that sit directly in decision flows. Sitting at the intersection of data science, fraud strategy, and product, you’ll translate complex behavioural signals into high-confidence, real-time decisions - balancing fraud loss, customer experience, and regulatory expectations to protect millions of customers and businesses.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What You’ll Do

• Develop and deploy fraud detection, transaction monitoring, and behavioural risk models across payments, accounts, onboarding, and merchant activity
• Design and run experiments to optimise fraud catch rates, false positives, and customer friction
• Partner with product and engineering teams to embed models into real-time decisioning systems
• Build features from high-volume transactional, device, network, and behavioural data
• Continuously monitor model performance, drift, and emerging fraud patterns
• Ensure data quality, governance, and responsible use of models in regulated environments
• Support investigations, strategy, and policy teams with advanced fraud analytics
• Mentor analysts and product teams on experimentation, detection strategy, and data-driven decision making

We would love to hear from you if…

• A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)
• 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime
• Hands-on experience with fraud detection, transaction monitoring, or behavioural risk modelling
• Proficiency in SQL and at least one modelling/programming language (Python or R)
• Experience with machine learning, anomaly detection, network/graph features, and real-time decision systems
• Strong intuition for fraud typologies, adversarial behaviour, and evolving attack patterns
• Ability to translate complex analysis into clear, actionable recommendations for technical and non-technical stakeholders
• High ownership mindset and comfort working in fast-paced, cross-functional product environments

What we can offer you

• Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A coding exercise on HackerRank – covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms).
• A take-home assignment
• A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth
• A behavioural and technical interview with the hiring manager

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Who we are

Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.

Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale.

We onboard over a million new customers each month, process hundreds of billions of dollars in payments annually, and support tens of millions of users across our ecosystem. Our India team is a core part of this scale, with ~100 teammates based across Bengaluru, Mumbai, Pune, Chennai, Hyderabad, and Gurgaon. You’ll work in a fast-paced, high-impact environment alongside experienced operators from companies such as Gojek, Tide, Amazon, Walmart, Paytm, BharatPe, Zeta, Delivery Hero, Grab, and Groupon. If you want to build at scale, work with one of Africa’s highest-volume fintech data sets, and ship products that materially impact tens of millions of users, this is an exceptional time to join.

About the role: 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale. You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.

This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers. You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers. You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers.

Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What You’ll Do

• Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
• Design and run experiments to optimise approval rates, loss rates, and profitability
• Partner with product squads to embed decision logic into real-time systems
• Ensure data quality, compliance, and ethical use of models across all decisioning processes
• Mentor product squads on best practices in experimentation and data-driven decision making
• Provide models to optimise outcomes in collections, churn management and user retention

We would love to hear from you if…

• You’re comfortable with Statistics - and have a Degree or qualifications  in a quantitative field (Statistics, Mathematics, Engineering or similar)
• You have +5 years of experience in data science, decision science, or risk analytics within financial services
• Working knowledge of credit risk, consumer lending, and regulatory considerations
• Proficiency in SQL and at least one modelling/programming language (Python, R)
• Experience with A/B testing, machine learning, collections modelling and churn management
• Ability to translate complex analyses into clear recommendations for business stakeholders
• High ownership mindset and comfort working in fast-paced, cross-functional teams

What we can offer you

• Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms).
• A take-home assignment
• A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth
• A behavioural and technical interview with the hiring manager

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

JOB DESCRIPTION

Job Title: Director of Revenue Operations                        Date:  Feb 09, 2026

Job Status:                 Fulltime

Department Name:   Revenue Operations

Supervisor Title:       Sr. Director, Revenue Operations

POSITION SUMMARY:

The Director of Revenue Operations (India) will play a critical role in scaling our GTM operations globally. This leader will oversee the Revenue Operations teams in India, partnering closely with Sales, Finance, Customer Success, and Supply Chain to ensure operational excellence across the revenue lifecycle. Reporting to the Sr. Director of Revenue Operations (US), the Director will be a core member of the global RevOps team, helping to drive consistent execution, accurate data-driven insights, and strong cross-functional alignment.

This role requires a proven leader with deep experience in B2B enterprise GTM motions, business process design, and global account management, exceptional analytical skills, and the ability to manage and scale teams in a fast-paced, high-growth environment.

ESSENTIAL FUNCTIONS:

To perform this job successfully, an individual must be able to perform each essential function satisfactorily.

Revenue Operations

• Lead, build and manage India-based Revenue Operations teams serving global stakeholders, driving a culture of accountability, collaboration, and continuous improvement.
• Partner with global RevOps leadership to execute against revenue strategy and annual GTM planning.
• Own timely execution of core RevOps processes, including forecasting, pipeline management, territory/account alignment, and quota deployment in assigned regions (EU, India, APAC)

Data & Insights

• Deliver actionable analytics and reporting for Sales, Customer Success, and Finance, including pipeline coverage, forecasting accuracy, and global account performance.
• Drive adoption of standardized data definitions, KPIs, and dashboards across global teams.

GTM Program & Process Management

• Support execution of GTM programs such as territory/account segmentation, whitespace analysis, and global account management frameworks.
• Collaborate with Sales and Customer Success leadership to optimize processes across lead-to-opportunity, opportunity-to-order, and renewal motions.
• Partner with Supply Chain to ensure alignment between demand signals, forecast accuracy, and fulfillment readiness.

Cross-Functional Partnership

• Act as the India RevOps leader, building strong partnerships with Sales, Finance, Customer Success, and Supply Chain leaders across geographies.
• Ensure operational alignment and cadence across forecasting, business reviews, and account planning.
• Provide regional leadership while ensuring global consistency of RevOps processes and metrics.

People Leadership & Development

• Manage, mentor, and grow a team of high-performing analysts and operations managers in India.
• Foster a collaborative culture that aligns with global RevOps values and promotes career development.
• Serve as a bridge between global strategy and India execution, ensuring local teams are aligned and empowered.

QUALIFICATIONS:

Ability to (Competencies):

• Integrity:  Establish and maintain honest, effective relationships with all team members under GTM functions. Develop a reputation for being dependable, analytical and objective. and trustworthy. Adapt to change and shift gears comfortably.
• Innovation:  Develop new ideas and suggest new approach to solve problems. Have self-knowledge and confidence to communicate, listen and persuade colleagues in an effort to improve GTM efficiency and accelerate revenue growth.
• Initiative:  Work independently, work under pressure and meet deadlines. Prepare clear and concise reports without the need for constant management. Combine analysis, experience and judgment to make good decision in a timely manner. Tenacity to make important decisions with limited information and tight deadlines while learning to be flexible in other situations.
• Intelligence: Utilize relevant experience and resources to be very productive and efficient in planning and executing work. Orchestrate multiple activities at once to accomplish a goal. Seek input and advice from colleagues in order to receive more successful results pertaining to reports and projects. Focus on the achievement of goals that produce results. Ability to recognize structural issues within organizations, including functional interdependencies and cross-silo redundancies.
• Interaction: Build morale and motivate the team with energy, encouragement and enthusiasm. Recognize solutions for difficult or conflict situations—seeking feedback on how to resolve issues. Distinguish the need to change the personal and interpersonal behavior of colleagues in an efficient matter. Eagerness to be part of a team-unit and cooperate in the accomplishment of departmental goals and objectives.

Education and Professional Qualifications

Required

• Bachelor’s degree in Business, Finance, Economics, Engineering, or related field.
• 15+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy in enterprise SaaS or hardware-enabled SaaS companies.
• 5+ years of team management experience, with a proven track record of building and leading operations/data teams.
• Deep knowledge of B2B enterprise GTM motions, including territory/account segmentation, pipeline management, forecasting, and renewals.
• Strong experience working with global account structures and enterprise sales processes.
• Demonstrated ability to partner cross-functionally with Sales, Finance, Customer Success, and Supply Chain in a global organization.
• Excellent communication and stakeholder management skills, with the ability to influence across regions and levels.
• Demonstrated experience with Salesforce CRM and evidence of designing and improving GTM processes.

Preferred

• MBA or advanced degree in a quantitative or business discipline.
• Experience in a global enterprise SaaS company at scale ($100M+ ARR) or business unit of a multi-national
• Experience in establishing GTM data analytics and BI-based dashboards using data warehouse (e.g. Snowflake)
• Prior experience working in a matrixed, cross-regional environment.
• Exposure to Quote-to-Cash, order management, S&OP process, and/or supply chain alignment processes.

EXPERIENCE/TRAINING

Experience:

Language:

English

Tekion is pioneering the digital transformation of the automotive industry, a sector that has remained largely undisrupted for over five decades. Our flagship platform, the Automotive Retail Cloud™, is the first and fastest cloud-native solution of its kind, fundamentally re-engineering the end-to-end automotive retail experience. By leveraging vast datasets, sophisticated machine learning, and advanced AI, we are creating a seamlessly integrated ecosystem connecting OEMs, retailers, and consumers. We are a globally distributed team of technologists and innovators dedicated to solving complex, high Impact challenges.

The Position

Tekion seeks an exceptionally talented and seasoned Senior Staff Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is a seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. 

Key Responsibilities

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.
• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.
• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.
• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.
• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.
• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.
• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.
• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI

Core Competencies & Technical Expertise
The successful candidate will demonstrate mastery in the following areas:

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.
• Deep Learning:
• Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
• Extensive experience implementing advanced neural network architectures.
• Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy) methodologies.
• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.
• Technical Proficiencies:
• Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.
• Proficiency with cloud computing platforms (GCP, Azure, AWS).
• Expertise in experimental design (A/B testing, causal inference).
• Proficient in version control systems (Git).

Required Qualifications

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.
• A minimum of 11-14 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.
• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.
• Proven experience in programming, data manipulation, and building models in a business context.
• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.
• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.
• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.
• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.
• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.
• A commitment to continuous personal and team development within a collaborative, high-performance culture.

Perks and Benefits

• Competitive compensation
• Generous stock options
• Medical Insurance coverage
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

About Tekion

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform. Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, retailers, and consumers through one seamless platform. Utilizing cutting-edge technology, big data, machine learning, and AI, Tekion is transforming the automotive retail ecosystem. We're inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it with offices in North America, Asia, and Europe, Tekion employs around 3,000 people worldwide.

Tekion is pioneering the digital transformation of the automotive industry, a sector that has remained largely undisrupted for over five decades. Our flagship platform, the Automotive Retail Cloud™, is the first and fastest cloud-native solution of its kind, fundamentally re-engineering the end-to-end automotive retail experience. By leveraging vast datasets, sophisticated machine learning, and advanced AI, we are creating a seamlessly integrated ecosystem connecting OEMs, retailers, and consumers. We are a globally distributed team of technologists and innovators dedicated to solving complex, high Impact challenges.

The Position

Tekion seeks an exceptionally talented and seasoned Senior Staff Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is a seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. 

Key Responsibilities

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.
• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.
• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.
• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.
• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.
• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.
• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.
• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI

Core Competencies & Technical Expertise
The successful candidate will demonstrate mastery in the following areas:

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.
• Deep Learning:
  • Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
  • Extensive experience implementing advanced neural network architectures.
  • Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy) methodologies.
• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.
• Technical Proficiencies:
  • Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.
  • Proficiency with cloud computing platforms (GCP, Azure, AWS).
  • Expertise in experimental design (A/B testing, causal inference).
  • Proficient in version control systems (Git).

Required Qualifications

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.
• A minimum of 11-14 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.
• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.
• Proven experience in programming, data manipulation, and building models in a business context.
• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.
• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.
• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.
• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.
• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.
• A commitment to continuous personal and team development within a collaborative, high-performance culture.

About the Company

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha.

These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

We are seeking bright and resourceful individuals for one of our Trading Teams team which is based out of our Bangalore office. The individual will be responsible for the day-to-day operational support and stability of our infrastructure.

Responsibilities

The role focuses on L1 level monitoring and support for our production trading applications and infrastructure.

The ideal candidate should

• Have hands-on-experience in providing 1st level monitoring and engineering support.
• Be familiar with Linux
• Be familiar with basic networking tools like ping, traceroute, etc.
• Have a basic understanding of scripting languages like Bash or Python.

He/she will be required to participate in operational shift cycle along with other members of the team.

Qualifications

• 1-3 years of strong hands-on experience
• Bachelor’s Degree in Computer Science, Software Engineering or similar
• The ability to manage multiple tasks in a fast-paced environment
• A passion for new technologies and ideas
• Good communication skills & time management
• Be proactive and plan for situations instead of reacting to them
• Systematic problem-solving approach, coupled with a strong sense of ownership and drive
• Prior knowledge or experience of financial trading will be a plus

Why You Should Join Us 

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
• Transparent Structure. Our employees know that we value their ideas and contributions
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees

We’re looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn’t your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity.

If you’re passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you.

Responsibilities:

• Presentation and analysis of data utilizing charts, tables, and Excel.
• Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor.
• Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits.
• Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics.
• Conducting unit economic and financial analysis.
• Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data.

Requirements:

• Top-tier pedigree: Bachelor’s or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus.
• 2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence).
• Must have strong communication skills (verbal and written).
• Methodical, concise, and accurate work style, with strong attention to detail and deadlines.
• Able to quickly learn and apply technical understanding to solve problems.
• An aptitude and interest in quantitative risk management, information technology, and the latest trends.
• Conscientious and focused on objectives with an attitude, and with written and verbal communication.
• Sound experience in data analysis, validation, and presentation of results (MS Excel).

Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus.