CDP ETL & Database Engineer

The CDP ETL & Database Engineer will specialize in architecting, designing, and implementing solutions that are sustainable and scalable. The ideal candidate will understand CRM methodologies, with an analytical mindset, and a background in relational modeling in a Hybrid architecture.The candidate will help drive the business towards specific technical initiatives and will work closely with the Solutions Management, Delivery, and Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica.

Responsibilities:

• ETL Development – The CDP ETL C Database Engineer will be responsible for building pipelines to feed downstream data They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
• Implementations s Onboarding – Will work with the team to onboard new clients onto the ZMP/CDP+ The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
• Incremental Change Requests– The CDP ETL C Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
• Change Data Management – The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
• Collaboration s Process Improvement – The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.

Job Requirements:

• The CDP ETL & Database Engineer will be well versed in the following areas:
  • Relational data modeling.
  • ETL and FTP concepts.
  • Advanced Analytics using SQL Functions.
  • Cloud technologies - AWS, Snowflake.
• Able to decipher requirements, provide recommendations, and implement solutions within predefined.
• The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
• The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
• Participate in internal client project status meetings with the Solution/Delivery management.
• When required, collaborate with the Business Solutions Analyst (BSA) to solidify.
• Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
• Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
• Familiarity with Jira for workflow , and time allocation.
• Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives.

Required Skills: 

• ETL – ETL tools such as
  • Talend (Preferred, not required)
  • DMExpress – Nice to have
  • Informatica – Nice to have
• Database - Hands on experience with the following database Technologies
  • Snowflake (Required)
  • MYSQL/PostgreSQL – Nice to have
  • Familiar with NOSQL DB methodologies (Nice to have)
• Programming Languages – Can demonstrate knowledge of any of the
  • PLSQL
  • JavaScript Strong Plus
  • Python - Strong Plus
  • Scala - Nice to have
• AWS – Knowledge of the following AWS services:
  • S3
  • EMR (Concepts)
  • EC2 (Concepts)
  • Systems Manager / Parameter Store
• Understands JSON Data structures, key value
• Working knowledge of Code Repositories such as GIT, Win CVS,
• Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
• Jira

Minimum Qualifications: 

• Bachelor's degree or equivalent.
• 4+ Years' experience.
• Excellent verbal C written communications skills.
• Self-Starter, highly motivated.
• Analytical mindset.

Company Summary:

Zeta Global is a NYSE listed 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.

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

https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-

Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-   cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html

App Framework Team • 80% Backend / 20% Frontend • 8+ Years

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel.

The App Framework team is building something foundational: an Agentic App Builder platform on top of ZMP that enables teams across Zeta to develop, deploy, and operationalize applications that integrate with ZMP’s core capabilities – identity, intelligence, activation, and measurement. Think of it as the platform that powers the next generation of applications at Zeta, with AI and agentic workflows built into the development experience itself.

As a Lead Full Stack Engineer, you’ll shape the architecture of this platform from the ground up. You’ll partner with product owners and engineering teams across the organization to understand what application builders need, design the backend services and APIs that make it possible, and build the frontend experiences that make it intuitive. You’ll own what you build end-to-end – from requirements through production operations – with a focus on architectural simplicity, developer experience, and operational excellence.

We develop using AI-assisted workflows (Cursor, Claude Code) and ship through continuous delivery. This is a rare opportunity to build a platform that fundamentally changes how applications are created at an enterprise scale.

What you’ll Do:

• Design and build the Agentic App Builder platform – the services, APIs, and developer tools that enable teams to create, deploy, and manage applications on top of ZMP fast and at scale.
• Build intuitive frontend experiences in React/TypeScript that make the platform accessible and productive for application builders.
• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start.
• Embed AI/LLM capabilities into the platform to enable agentic application development and intelligent automation.
• Use AI-assisted development tools as a core part of your workflow to accelerate delivery while maintaining high quality.
• Collaborate with teams across Zeta to gather requirements, align on integration patterns, and ensure the platform meets real-world application needs.
• Mentor engineers, lead technical initiatives, and help establish the engineering practices and standards for the platform.

What We’re Looking For:

8+ years of software engineering with a track record of building and operating platform-level systems. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. You understand what it takes to build developer-facing platforms in the age of AI.

You bring hands-on experience with AWS services and you’re comfortable operating in multi-tenant, compliant environments. Continuous delivery, test-driven development, and agile are disciplines you practice with conviction. You’re already using AI-assisted coding tools and you’re excited about building platforms that leverage agentic workflows.

You’re a strong communicator who thrives on cross-team collaboration. You enjoy working with product owners to define problems, proposing architectures, building alignment, and then delivering. You bring energy and curiosity to your work, and you elevate the people around you.

Nice to Have:

• Experience building agentic developer platforms, internal tooling, or app builder/low-code systems.
• MarTech or AdTech domain knowledge (DSPs, bid stream processing, data-intensive platforms).
• Familiarity with our data stores: MySQL, Snowflake, Aerospike, DynamoDB, S3.
• Experience designing plugin architectures, SDK/API frameworks, or extensible platform systems.

Tech Stack:

Why You’ll Love It Here:

• Build a foundational platform that shapes how every application at Zeta gets created – high-impact, high-visibility work from day one.
• AI-native engineering culture – agentic development is how we build, and you’ll be building the platform that brings it to others.
• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it.
• Collaborative, low-ego team that genuinely enjoys working together and learning from each other.
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Manager, Revenue & Contract Analytics

Position Overview

Zeta Global is seeking a highly analytical and detail-oriented Manager, Revenue & Contract Analytics to lead the development and operational ownership of a contract entitlement tracking and usage reconciliation framework.

This role is responsible for ensuring accurate cost assignment, margin transparency, revenue recognition support, and overage billing integrity across client contracts. The position will operationalize a structured tracking process that consolidates contractual entitlements and reconciles them against actual platform and service usage across multiple enterprise systems.

The Manager will play a critical role in building and leading a Hyderabad-based Analytics team and transitioning ownership of the process from the Cost Analysis team to a scalable, repeatable reporting function.

Key Responsibilities

• Compile and maintain a comprehensive repository of all active client contracts and Statements of Work (SOWs).
• Translate contractual entitlements into clearly defined, trackable usage metrics.
• Reconcile actual client usage against contractual entitlements on a monthly basis.
• Aggregate and reconcile usage data across Apptio, Snowflake, Salesforce (SFDC), Jira, and ZMP platform systems.
• Design and deliver client-level dashboards displaying contractual entitlements, usage trends, and projections.
• Provide executive-ready monthly reporting to Finance, Sales, and Client Success leadership.
• Manage onboarding of new contracts and removal of expired contracts from tracking.
• Partner with Operations to ensure platform instances are retired upon contract expiration.
• Establish governance processes, audit controls, and standard operating procedures.
• Support hiring, onboarding, and leadership of the Hyderabad-based Analytics team.

Required Qualifications

• Bachelor’s degree in Finance, Accounting, Business Analytics, Economics, or related field.
• 7+ years of experience in Analytics, Revenue Operations, FP&A, Financial Systems, or related discipline.
• Experience with contract-based or usage-based pricing models.
• Strong understanding of revenue recognition and margin analysis principles.
• Advanced SQL skills (Snowflake preferred).
• Experience with Salesforce and enterprise data systems.
• Expertise in dashboarding tools (Tableau, Power BI, Looker, or equivalent).
• Strong analytical, organizational, and communication skills.

Preferred

• Experience in SaaS, advertising technology, or data platform environments.
• Familiarity with Apptio or cost modeling platforms.
• Experience building or leading analytics teams.
• Knowledge of platform metering frameworks.
• Experience working in a global, cross-functional organization.

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.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen- ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

Senior CDP Operations Manager 

Job Description: 

As a Senior CDP Operations Manager, you will be responsible for supporting and managing client implementations of the CDP platform. You will collaborate closely with internal and client technical teams as they design and enhance integrations and experiences, ensuring smooth execution and operational alignment.  This role also involves assisting with training, documentation, and platform enablement to help teams fully understand and leverage CDP capabilities.

Qualifications: 

• Bachelor’s degree
• 2+ years’ experience in a data operations or CDP-related role
• Ability to communicate effectively with Engineering, Solutions, Product, and Client teams
• Experience with identity resolution concepts and omnichannel data integrations
• Experience with database and data modeling across omnichannel inputs and internal systems
• Knowledge of requirements-gathering techniques and technical architectures
• Proficiency in SQL, Snowflake, BigQuery and SFTP workflows
• Strong understanding of ESPs and marketing data environments
• Knowledge of data architecture, field mappings, and transformation logic
• Experience with data privacy compliance frameworks (GDPR, CCPA) preferred

Responsibilities:

• Knowledge of how data flows, i.e., where data originates, data transformation, and end stage of data, for documentation purposes as well as research
• An understanding of database table structures, field mappings, data dictionaries
• Working with various data sources
• QC data reporting and/or data visualization dashboards
• Monitor daily data flows, ensure SLAs, and proactively identify trends or anomalies
• Analyze and/or triage data issues
• Research data issues and ensure they are escalated to higher levels if not able to see through to complete resolution
• Oversee daily execution of CDP processes, including data ingestion, transformation, and activation.
• Ensure downstream systems receive timely and accurate data.
• Clear communication of issues through JIRA as well as to Engineers and Solution Developers
• Support team as needed in evolving the platform and the monitoring strategies
• Assist where needed with the migration of data from legacy systems to new solutions
• Recommend solutions to improve, and gain efficiencies for new and existing database systems
• Help identify Platform (technology) Optimization and/or Enhancements
• Assist with answering client questions, research, and data requests
• Assist internal and client teams to design, enhance and maintain integrations and experiences within the platform
• Assist with teaching, training, and documenting platform features and usability
• Propose both technical and high-level solutions based on client requirements
• Communicate directly with clients around data issues, research questions, and new projects
• Discuss project and/or monitoring requirements with clients
• Prioritize client projects, issues, and daily data monitoring appropriately.

Company Summary:

Zeta Global is a NYSE listed 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.

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

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

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

Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance. 

This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment. 

Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)

Key Responsibilities 

Data Engineering & ETL 

• Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena 

• Partner with cross-functional teams to optimize data architecture and workflows 

Machine Learning & AI Development 

• Design, develop, evaluate, and deploy ML/AI models in production environments 

• Build scalable ML pipelines for training, validation, deployment, and scoring 

• Develop advanced predictive models and recommendation engines 

• Optimize model performance through experimentation, feature engineering, and ensemble techniques 

• Implement automation frameworks to improve productivity and reproducibility 

Cloud & Distributed Systems 

• Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena 

• Build and maintain robust workflows in distributed computing environments 

Analytics, Reporting & Marketing Automation 

• Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability 

• Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies 

Collaboration & Delivery 

• Work on multiple concurrent projects in a fast-paced, high-growth environment 

• Communicate complex findings clearly to both technical and non-technical stakeholders 

• Mentor junior team members and contribute to best practices across the data science function 

Required Skills:

• Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models) 

• Proven experience building and productionizing ML pipelines 

• Advanced Python proficiency and experience with ML libraries 

• Strong data preparation and feature engineering skills 

• Experience with Snowflake and distributed data systems 

• Working knowledge of Unix and shell scripting 

• Strong analytical thinking, attention to detail, and communication skills 

Qualifications: 

• MSc/MS in a quantitative field with 4+ years of experience 
  or 

• BSc with 7+ years of relevant experience 

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non-technical teams
• Comfortable working in fast fast-paced environment, self-starter, and self-organizer
• Ability to think strategically, analyze, and interpret market and consumer information

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Telemetry Platform team is the backbone of real-time intelligence at DoorDash. We are architecting a unified, multi-brand foundational platform that powers sub-second user intent detection and mission-critical product experimentation for millions of users globally. Our team manages the entire data lifecycle—from high-performance mobile/web SDKs to massive-scale ingestion stacks and complex event processing engines. We are currently transitioning to a cutting-edge ingestion stack, creating a drift-free instrumentation culture that turns raw behavioral signals into actionable business insights.

About the Role

We are looking for a platform-oriented Engineering Manager to lead a multi-disciplinary team of Full Stack and Data Infrastructure (Backend) engineers. In this role, you will play a pivotal part in building these teams from the ground up and driving the long-term technical strategy for global telemetry. You will oversee the development of everything from developer-facing web UIs for schema management to high-throughput backend systems that process billions of events. This is a unique opportunity to lead a team at the intersection of platform engineering and deep data infrastructure.

You’re excited about this opportunity because you will…

• Build and Scale Teams: You will lead the hiring, onboarding, and mentorship of a high-performing team of Full Stack and Data Infrastructure engineers.
• Drive Strategy: You will execute the roadmap for the Unified Telemetry platform, balancing immediate "quick wins" with long-term engineering excellence and global scalability.
• Bridge Frontend & Backend: You will manage the development of the Event Schema Design UI and ClickStream Event Inspector alongside the Complex Event Processing (CEP) and Enrichment Frameworks.
• Enable Global Impact: Your team’s work will directly enable real-time user intention detection (e.g., identifying checkout abandonment) and power the foundational data layers for DoorDash’s global analytics.
• Foster Culture: You will champion a culture of reliability, quality, and technical rigor, ensuring telemetry is a "winning edge" for the organization.

We’re excited about you because you have…

• Experience: 10+ years of experience in software engineering, with at least 2+ years of hands-on management experience leading high-growth teams.
• Full Stack & Infra Fluency: You have a strong understanding of both modern Front End frameworks (for internal tooling/governance UIs) and Data Infrastructure (high-throughput ingestion, distributed systems, and real-time processing).
• Technical Breadth: Familiarity with technologies like Go/Kotlin/Python, React, and large-scale data ecosystems such as Kafka, Spark Streaming, Flink, or Snowflake.
• Strategic Leadership: Proven ability to break down complex, large-scale systems into reusable components and clear execution plans.
• Cross-Functional Collaboration: Exceptional communication skills with a track record of partnering with Product, Data Science, and Platform teams to deliver global solutions.
• Education: B.S., M.S., or PhD in Computer Science or a related technical field

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Opportunity Overview:

We’re looking for a Manager, Engineering that can lead and grow a high-performing engineering team with a strong product mindset, owning outcomes end-to-end. You will build forward-looking software that improves healthcare experiences for members while streamlining payer and provider operations.

What you’ll do:

• Lead a fast-paced, autonomous, agile team of software engineers to build and enhance a growing software platform
• Create transparency into delivery health through the use of meaningful sprint and business metrics
• Enable the team to further its impact, by improving upon its means of delivery and working closely with the data, product, and growth organizations to further the value we can bring to our clients
• Provide technical leadership throughout the design and delivery process, bringing perspective and motivating engineers to develop simple, pragmatic solutions to complex problems
• Ensure the team is following and building upon software engineering best practices including testing, quality, and security
• Foster a culture of developing early career talent who will become the next leaders in the organization, enabling the individuals and the team to work with autonomy
• Provide innovative solutions for both attracting and retaining top talent

Required Qualifications:

• 12+ years of experience with 3+ years of experience managing software engineering teams in a fast-paced, agile environment 
• Demonstrated expertise with cloud-based services 
• Proficiency with Python, ReactJs, Snowflake, MongoDB, etc.
• Experience leading teams in a global organization

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Technical interview(s)
4. Cross functional partner interview
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

As a Senior Staff Engineer you’ll: 

• Define the architecture for Tide’s agentic platform
• Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability 
• Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
• Set standards for reliability, safety, scalability, and developer experience
• Provide technical leadership across teams and unblock critical decisions
• Implement cost-management and routing logic to optimize LLM spend across different providers
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories 

WHAT WE ARE LOOKING FOR:

• Deep experience building platform or infrastructure systems at scale
• Strong judgement across APIs, distributed systems, data, and cloud-native architecture
• Track record of leading complex cross-team technical problems
• Experience integrating third-party platforms without losing control of core architecture
• Strong understanding of reliability, security, and observability
• Experience with AI platform components is valuable, but not essential
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable 

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

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

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

Primary Responsibilities

1. Team Leadership & Development

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

1. Project Management & Coordination

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

1. Data Quality & Integrity

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

1. Technical Collaboration & Innovation

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

1. Customer & Domain Engagement

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

Required Skills & Qualifications

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

Preferred Skills & Qualifications

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

Staff Analytics Engineer

Location: Hyderabad | Department: Technology, Data

About the Role

Are you passionate about turning raw data into actionable insights and enabling data-driven decision-making? As an Analytics Engineer, you will play a critical role in shaping our data ecosystem and ensuring that our teams have access to accurate, well-structured, and timely insights.

You’ll collaborate closely with different business functions to design and implement scalable data models, track key performance metrics, and optimize data workflows. Your work will directly impact how we measure product success, marketing effectiveness, and customer engagement.

What You'll Do

Collaboration & Enablement

• Act as the Technical Lead for the team, taking ownership of our engineering standards and driving the rigorous application of best practices in data and semantic modeling.
• Partner with cross-functional teams to democratize data access and improve self-serve analytics capabilities.
• Partner with cross-functional teams to gather requirements and implement reporting/dashboards which allow those teams to improve performance
• Create and maintain clear documentation for data models, metrics, and best practices.

Data Engineering & Pipeline Optimization

• Use dbt (Data Build Tool) to build, test, and optimize scalable data models.
• Implement semantic models within our Business Intelligence platform
• Implement reports/dashboards in our Business Intelligence platform which leverage our semantic model
• Work with cloud data warehouses (BigQuery, Snowflake, or Redshift) to ensure efficient data transformation and storage.
• Implement automated data quality checks to maintain integrity and reliability across datasets.

What You’ll Need

Technical Skills & Experience

• 7+ years of experience in analytics engineering
• Strong SQL skills and experience working with data warehouses (BigQuery, Snowflake, or Redshift).
• Strong reporting/dashboarding skills leveraging a modern Business Intelligence platform with a Semantic Layer (Omni, Looker, Lightdash)
• Hands-on experience with dbt for data modelling and transformation.

Soft Skills & Collaboration

• Ability to work cross-functionally with different stakeholders.
• Excellent problem-solving skills and a structured approach to data challenges.
• Strong written and verbal communication skills to translate complex data concepts for non-technical stakeholders.
• Self-motivated and eager to optimize and automate data processes wherever possible.

Why Join Us?

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Senior Data (Platform) Engineer 

Location: Hyderabad | Department: Technology, Data 

About the Role 

Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling. 

You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. 

What You'll Do 

Data Platform & Infrastructure

• Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
• Provision and manage cloud resources across development, staging, and production environments.
• Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
• Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
• Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
• Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
• Continuously monitor and optimize platform performance and cost. 

Framework, Tooling and Enablement

• Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
• Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
• Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
• Create and maintain technical documentation and examples to support self-service analytics and data development. 

What You’ll Need 

Technical Skills & Experience

• 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with:
  • Terraform
  • Airflow
  • dbt
  • Kubernetes
  • Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) 
• Strong understanding of analytical data models and how analytics teams consume data.
• Experience integrating and operating LLM-based pipelines and services (not model training). 

Soft Skills & Collaboration

• Strong problem-solving skills and ability to debug complex platform issues.
• Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
• Clear communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic, ownership-driven mindset with a focus on reliability and simplicity. 

Why Join Us? 

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together. 

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

We are hiring across multiple locations

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

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

We are hiring across multiple locations

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

About the Role

We are seeking a Marketing Science Analyst II to join our Marketing Analytics team in Hyderabad. In this role, you will partner with paid media, growth, and cross-functional teams to measure and optimize marketing performance across digital and offline channels. You will play a key role in campaign measurement, attribution, experimentation, and reporting—translating complex data into actionable insights that drive business growth.

This position is ideal for a highly analytical professional with hands-on marketing analytics experience who is ready to take ownership of measurement frameworks while collaborating across a global organization.

Responsibilities

Campaign Measurement & Attribution

• Support the tracking and reporting of campaign performance by compiling relevant KPIs and spend data. 
• Assist in incrementality testing efforts and contribute to A/B test setup and execution for marketing initiatives. 
• Help evaluate performance using MMM inputs, basic channel lift analysis, and cross-channel measurement frameworks.

Performance Analytics & Optimization

• Track and report key performance metrics including Signups, CAC, CPFT, and payback periods.
• Conduct deep-dive analyses to identify performance drivers and optimization opportunities.
• Assist in maintaining regular campaign reporting across lines of business.
• Develop and refine audience segments for targeted paid campaigns, leveraging data insights to enhance performance

Data Analysis & Reporting

• Write complex SQL queries to analyze large datasets (millions to billions of records).
• Build and maintain dashboards in Tableau (or similar BI tools) to support stakeholder reporting needs
• Collaborate with analytics engineering teams to improve data quality, pipelines, and reporting processes.

Experimentation & Insights

• Assist in executing the test roadmap aligned with marketing goals.
• Apply basic statistical methods to evaluate experiments and measure performance impact.
• Support the translation of findings into clear insights and actionable recommendations.
• Support MMM modeling efforts within Marketing Science by contributing to data inputs and assisting in the interpretation of model outputs for marketing measurement

Cross-Functional Collaboration

• Work closely with PMUA, GTM, Analytics, and Data Engineering teams to align on KPIs and measurement standards.
• Maintain documentation and support alignment across teams.
• Contribute to bi-weekly insights decks and leadership reporting.

About You

• 2+ years of experience in marketing analytics, data analytics, or a related quantitative field.
• 2+ years of experience writing complex SQL queries and working with large datasets.
• Experience with marketing attribution, paid media analytics, and performance measurement.
• Familiarity with marketing tools such as Google Analytics, Braze,Singular, Mixpanel  or similar platforms.
• Strong understanding of:
• Descriptive statistics
• Experimental design and A/B testing
• Key marketing KPIs (CAC, LTV, ROAS, retention)
• Familiarity with statistical methods and exposure to data science techniques (e.g., regression, experimentation, MMM) in a marketing analytics context.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
• Proven ability to collaborate across cross-functional and global teams.
• Bachelor’s degree in Statistics, Computer Science, Engineering, or a related quantitative field.

Good to Have

• Experience with cloud data warehouses such as Snowflake or Redshift.
• Exposure to Marketing Mix Modeling (MMM) or advanced attribution modeling.
• Experience with analytics engineering tools such as Databricks.
• Exposure to automation of marketing reporting pipelines.

A Day in the Life

• Analyze campaign performance across paid social, search, display, and offline channels.
• Evaluate incrementality tests and provide recommendations on budget allocation.
• Build dashboards and automated reports to scale insights delivery.
• Partner with marketing leads to refine KPIs and measurement frameworks.
• Deliver insights to leadership through structured storytelling and data visualization.
• Contribute to sprint planning and collaborate with global stakeholders to drive high-impact analytics initiatives.

The Role 

You have an uncanny knack for problem solving and you have a sharp product mindset. Our Tech Leads are involved in all aspects of the software design process and create high-performing, scalable, and secure products. This is a hands-on technical role, with no people management responsibilities.

As the most senior technical person in your team, you’ll be hands-on in the solution and code, working alongside Product, Design, Quality, Platform, Security and your team to design solutions that power a new market-leading Analytics platform. You aren’t afraid to challenge the status quo and define solutions that sit outside of existing patterns, especially where reliability, security, and repeatability are critical to customer success.

In this role you will own the engineering foundations of StarRez’s Analytics & Reporting capabilities, leading the development of a new Analytics product and the implementation of a new cloud data warehouse. You will lead the build of the data model integration layer, including automated customer schema provisioning, user provisioning, and Single Sign-On (SSO) integration (SAML/OIDC) to deliver a seamless and secure customer experience. You will also uplift existing ad-hoc reporting and analytics tools, and assist with improving the StarRez database schema, working closely with Data Analysts, Engineers and Product Managers to align the platform to best practice and analytics readiness.

With deep knowledge of your domain and programming language, you not only understand how choices made in software design and architecture affect areas like performance, maintainability, testability, observability, and security, you teach and promote this knowledge to others within and across teams. You are hands-on and keep up to date with the latest .NET and web technologies.

Required Qualifications 

• Bachelor’s degree in Computer Science, Information Technology, or similar
• You have held a Technical Lead (or similar role) for at least 2 years
• You have worked to improve, modernise and decompose large codebases
• Demonstrated experience creating products and features from the ground up, and successfully taking them through to production
• Experience working on SaaS platforms at scale
• Demonstrated experience designing and building integration-heavy systems (APIs, automation, workflows) with a focus on reliability and security
• Experience implementing identity and access patterns, including SSO (SAML/OIDC), role/group mapping, and least-privilege access models
• Strong database fundamentals and practical SQL experience; comfortable designing safe schema changes and performance-minded data access patterns
• An inclination towards communication, inclusion, and visibility
• Deep knowledge of .NET ecosystem (framework 4.6+ / .NET 6+)
• Web technologies – C#, MVC, HTML, JavaScript, CSS etc
• Experience with testing frameworks in C#
• Azure SQL
• Git

Preferred Qualifications 

• Understanding of CI/CD pipelines and DevOps principles
• Proficiency with one or more public cloud providers such as Azure, AWS or GCP
• Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric)
• Experience with data pipeline tooling and patterns (e.g., Azure Data Factory, Snowflake Openflow, Fivetran, dbt, or similar tools)
• Familiarity with multi-tenant SaaS analytics patterns (tenant isolation, RBAC, auditability, and data access controls such as row-level security where applicable)
• Strong operational mindset: observability/monitoring, runbooks, incident response, and production support readiness for GA launches
• Accessibility & accessible UI development (WCAG/ARIA)

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you!  

Reasons to join our Team:  

StarRez is not just a workplace—it’s a place to belong, build, and grow.   

• A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.   

• Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.   

• Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.   

• Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.   

• Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.   

If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for you.   

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.    

Notice to external Recruiters and Recruitment Agencies:  

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.  

At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world.

Celigo is looking for a Senior Product Data Manager to own how product data works who will own the foundations that make product analytics possible — event taxonomy, tracking standards, metric definitions, and data quality.

This is not a Product Manager role and not a reporting/analytics role. You will not own feature roadmaps, dashboards, or business analysis.

You will operate as the data backbone for Product — working between Product, Data Engineering, UX Research, and Analytics to ensure product data is reliable, usable, and scalable. Product leadership defines what success looks like (OKRs/KPIs). Your job is to ensure that success can be accurately measured, consistently defined, and continuously trusted across the organization. You are expected to identify gaps in how data works today, define how it should work and build the systems and standards to get there. 

This is a high-autonomy, hands-on role. You will write SQL, validate data, define tracking, and enforce standards — while also shaping how product data evolves over time.

We also expect you to leverage AI as a force multiplier — improving speed, automation, and self-serve analytics while maintaining strong governance and data integrity.

What would you do if hired?

• Own product data definitions, event taxonomy, and tracking standards across the Product organization
• Ensure product usage data is correctly instrumented, validated, and consistently implemented
• Define and enforce data governance practices to maintain a single source of truth
• Enable Product Managers to measure success by providing clear frameworks, standards, and guardrails for metrics and tracking
• Ensure product OKRs and KPIs are measurable, consistently defined, and continuously monitored
• Build and maintain reliable datasets, reports, and dashboards for ongoing product performance tracking
• Write and validate SQL to troubleshoot discrepancies, verify data correctness, and support product decision-making
• Act as the point of accountability for product data quality, definitions, and trust
• Partner with the Data Engineering team to identify gaps in Snowflake and ensure product data is modeled correctly (without owning pipelines)
• Own and maintain product analytics tooling (e.g., Pendo), ensuring it supports consistent tracking and data access
• Define scalable processes for instrumentation, validation, and data change management
• Identify systemic issues in data quality or tracking and drive long-term fixes, not one-off patches
• Proactively define and execute a roadmap to improve product data maturity across the organization

Who are we looking for?

Education and Experience

• 8+ years of experience in B2B SaaS across Product Analytics, Product Operations, Data Engineering, or similar roles
• Demonstrated experience designing event taxonomies, tracking plans, and metric definitions
• Advanced SQL skills, including complex joins, validation, and data reasoning in modern warehouses (Snowflake preferred)
• Hands-on experience with product analytics tools (e.g., Pendo, Amplitude, Mixpanel)
• Experience building or improving data quality frameworks, validation processes, and documentation
• Experience using AI tools to improve data workflows, with strong judgment around validation and correctness
• Experience influencing Product and Engineering teams without formal authority

Skills & Abilities

• Strong understanding of how product data should be structured, tracked, and governed
• Proven ability to independently diagnose data issues and ensure correctness across systems
• Ability to operate as a senior IC — owning ambiguous problems end-to-end without direction
• Strong communication skills, with the ability to translate between technical systems and product decisions
• Thinks in systems, not dashboards
• Cares about data correctness more than data volume
• Prefers fixing root causes over patching symptoms
• Comfortable challenging assumptions and driving alignment
• Operates independently and doesn't wait for instructions
• Builds processes that scale, not workflows that depend on one person
• Pragmatic — understands tradeoffs and moves forward without perfection

Celigo is proud to be

• A 2025 Gartner Customers’ Choice for iPaaS. The ONLY vendor to receive this award.
• Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year
• Celigo is ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. 
• Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform.

Here you’ll experience

• A flexible, hybrid work culture that values autonomy, collaboration, and trust
• A fast-paced, high-growth environment where innovation and ownership are encouraged at every level
• Continuous learning and upskilling opportunities through internal training, mentorship, and global collaboration
• Exceptional teammates who bring passion, purpose, and creativity to everything they do
• A supportive, inclusive workplace that celebrates diverse ideas and perspectives
• Comprehensive health insurance coverage for employees and dependents
• Generous leave benefits, including paid time off, wellness days, and parental leave
• Recognition programs and career growth opportunities designed to help you thrive
• Modern office spaces that promote connection, collaboration, and fun.

Diversity, Equity, Inclusion, and Accessibility

As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigans, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand.

Celigo is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Overview:   We are seeking a seasoned Software Engineer L5 with strong reporting and data experience to design, build, and optimize scalable systems that support analytics and business intelligence and reporting capabilities for our clients. This role requires deep technical expertise, sound architectural judgment, and a passion for building reliable, high-performance solutions.

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence.
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• 10+ years of experience in software engineering or related IT roles, working with complex computing platforms and modern technologies such as virtualization, distributed systems, and high-performance computing.
• Strong foundation in system architecture, design patterns, and automation, with a consistent focus on engineering excellence.
• Experience working with large data sets, including data pipelines, data access controls, and data warehouse platforms such as Snowflake or Databricks.
• At least 3 years of experience with the .NET platform using C# or another object-oriented programming language.
• Hands-on experience working in cloud environments, preferably AWS.
• Experience developing or supporting BI and reporting solutions, or a strong willingness to learn Power BI.
• Solid understanding of virtualization technologies and distributed architectures.
• Demonstrated ability to debug complex issues, optimize code, and participate in high-quality code reviews.
• Proven track record of improving system stability and performance through thoughtful design, testing strategies, monitoring, and controlled rollouts.
• Strong problem-solving skills with a focus on delivering scalable, maintainable, and elegant solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.