Who we are

About Stripe

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

About the team

Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.

Responsibilities

Financial Planning & Analysis

• Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers
• Lead monthly and quarterly planning, forecasting, and close processes
• Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers
• Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting
• Support annual budgeting, long-range planning, and scenario modeling
• Build and maintain financial models for business case analysis, investment decisions, and resource allocation
• Partner with business teams to provide financial perspective on operational and strategic decisions

Data Analytics & Reporting

• Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses
• Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools
• Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting
• Automate and standardize recurring reports to reduce manual effort and improve consistency
• Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals
• Ensure data accuracy and consistency across all financial outputs

AI-Augmented Working

• Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving
• Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods
• Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases

Business Insights & Communication

• Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations
• Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making
• Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders
• Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics

Requirements

Financial & Business Skills

• 5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles
• Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture
• Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles
• Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes
• Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics

Technical & Data Skills

• Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses
• Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting
• Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas
• Preferred: Python or R for data analysis, automation, or analytical workflows
• Ability to work with large, complex datasets across multiple data sources

AI Adaptability

• Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed
• Willingness and ability to continuously adopt new AI tools and methods as they become available
• Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving

Mindset & Working Approach

• Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights
• Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications
• Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs
• Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically
• Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision
• Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy

Preferred Experience

• Background in technology, payments, fintech, SaaS, or high-growth platform businesses
• Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)
• Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)
• Experience in cross-functional environments working directly with product, engineering, and go-to-market teams
• Experience with high transaction volume environments where data complexity is inherent

Who we are

About Stripe

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

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

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 

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

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

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap decisions.

You Have:

• 7+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
• Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
• Familiarity with CI/CD and automated testing practices for backend services.
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

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

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

What You’ll Do

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
• Open-source contributions, publications, or conference speaking.
• BS/MS in CS/Engineering or equivalent practical 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.

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 

About the Role

We’re looking for a Software Engineer for Cloud Data Warehouse database connector team and supporting other databases teams to drive improved performance, reliability, and analytical power for our platform to delight our customers in how they use their data.

This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t need to be a subject matter expert before you join us (you will become one within this role!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure three times before you cut once.

A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for a high level of expertise and productivity with modern software development environments (we use Java).

We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day as one of our most senior engineers.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java, SQL Server, SQL, Docker, AWS, GCP, BuildKite, DBeaver, Grafana

What You’ll Do

• Be a horizontally-scaling engineer (we grow together as a team)
• Design and implement features and performance improvements in the Fivetran core to create highly scalable distributed data pipelines on the cloud
• Care and feel ownership of our product platform, and leverage your skills towards improving it
• Advocate for core values, business impact, better engineering, and simple and direct solutions
• Lead engineering-wide initiatives for a number of key technologies
• Collaborate across engineering on cross-functional projects creating innovative solutions
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve technical design documents and pull requests
• Improve and enhance engineering systems documentation and development processes
• Coach and mentor other software engineers
• Contribute to hiring by participating in the interview process

Skills We’re Looking For

• Typically, 5+ years of software development experience in fast paced environments
• Demonstrated passion to learn how large-scale software engineering projects work
• Lead and mentor junior team members
• Has developed an ability to write, test, and deploy well-structured and performant code
• Experience developing data-processing systems, preferably for an external-facing product
• Strong technical communication skills (written and verbal) in English
• Proficient level programming in an object oriented / systems language such as Java, Python, C# etc.
• Experienced with end-to-end systems profiling, performance, and optimization
• Experience troubleshooting problems with existing code and systems
• Experienced working in a cloud environment architecture utilizing AWS, GCP, Postgres, Kubernetes, Docker, or similar technologies

Bonus Skills​

• Experience with BigQuery, Snowflake, Databricks, SQL Server, Oracle, Postgres, MySQL, MongoDB, CosmosDB databases
• Developed any ETL/ELT pipelines

#LI-HYBRID

#LI-AV1

Job Title: GenAI Developer/ Engineer

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
• Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
• Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
• Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
• Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
• Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
• Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts 
• Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
• Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
• Ensure flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt 
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
• Strong proficiency in Terraform is a must-have.

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

What you'll do

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What we're looking for

• 5+ years experience with data/analytics engineering
• 5+ years of experience with Python and SQL (preferably Snowflake)
• 3+ years of experience with dbt (dbt certification a plus)
• Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
• Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
• Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
• An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
• Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
• Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
• Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

What we want to accomplish and why we need you.

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

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

What will you do every day?

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

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

On a day to day basis, you will: 

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

QUALIFICATIONS 

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

What We're Looking For

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

Tell me more about Suki

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

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

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.

This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.

What You’ll Do

• Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
• Implement components of our security and governance framework to ensure high-compliance and security standards are met.
• Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
• Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
• Adhere to and champion best practices in code quality, system design, and operational readiness.
• Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.

What You Bring

• Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms. 
• Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
• Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
• Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
• Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.

What Success Looks Like

• You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
• The infrastructure you build is automated, secure, and aligns with the team’s best practices.
• You are a trusted, collaborative, and productive member of the data engineering team.
• Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.

#LI_Hybrid 

P24719_3369503

The Opportunity:

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

What You'll Do:

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

What You'll Bring:

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

Bonus Points For:

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

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

#LI-Hybrid

P22262_3137714

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
• Robust, automated data governance and security frameworks embedded into the platform's core architecture.
• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

#LI_Hybrid 

P24713_3369501

Sr Analyst, Field Analytics

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.

You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.

Job Duties & Responsibilities:

• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization.
• Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
• Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
• AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
• Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives

Required Skills & Qualifications: 

• 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
• Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
• Practical experience using Generative AI (e.g., GPT, Gemini, or GitHub Copilot) to improve technical productivity.
• A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
• Proven ability to translate complex data logic into clear, concise narratives.

Preferred Qualifications: 

• Proficiency with scripting (python) & data modeling (dbt) 
• Deep understanding of enterprise software sales processes, field operations, and cross functional GTM mechanics.
• Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.

#LI-Hybrid

#P24939

Get to know Okta

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

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

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

The Data Enablement Team

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

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

The Senior Data Analyst Opportunity

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

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

What you can look forward to as an Okta employee!

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

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

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

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

#Hybrid_Bengaluru

#LI_Linkedin P24588_3405678

Get to know Okta

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

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

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

The Data Enablement Team

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

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

The Senior Data Analyst Opportunity

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

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

What you can look forward to as an Okta employee!

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

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

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

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

#Hybrid_Bengaluru

#LI_Linkedin P24589_3405679

Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Senior Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.

What you’ll be doing 

• Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
• Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
• Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
• Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
• Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.

What you’ll bring to the role

• 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
• Strong proficiency in SQL for data manipulation and Python for data pipeline development.
• Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
• Hands-on experience with the modern data stack, specifically:
• Data Warehousing: Snowflake
• Data Transformation: dbt
• Infrastructure as Code: Terraform
• Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
• Knowledge of data security and data privacy best practices
• A strong understanding of data modeling principles 
• data security best practices.
• A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.

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

• Experience with Snowpark.
• Experience with containerization and orchestration (Kubernetes is a nice to have).
• Familiarity with the Identity Access & Management (IAM) domain.
• Experience building developer-friendly, API-driven applications using REST and/or gRPC.

P24586_3348463

#LI_Hybrid

Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Senior Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.

What you’ll be doing 

• Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
• Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
• Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
• Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
• Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.

What you’ll bring to the role

• 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
• Strong proficiency in SQL for data manipulation and Python for data pipeline development.
• Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
• Hands-on experience with the modern data stack, specifically:
• Data Warehousing: Snowflake
• Data Transformation: dbt
• Infrastructure as Code: Terraform
• Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
• Knowledge of data security and data privacy best practices
• A strong understanding of data modeling principles 
• data security best practices.
• A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.

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

• Experience with Snowpark.
• Experience with containerization and orchestration (Kubernetes is a nice to have).
• Familiarity with the Identity Access & Management (IAM) domain.
• Experience building developer-friendly, API-driven applications using REST and/or gRPC.

#LI_Hybrid

P24587_3348467

About Okta

Okta is an enterprise grade identity management service, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta you can manage access across any application, person, or device. Whether the people are employees, partners, or customers, or the applications are in the cloud, on premises, or on a mobile device, Okta helps you become more secure, make people more productive, and maintain compliance.

The Okta service provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

• Streaming analytics 
• Interactive end-user reporting 
• Data and ML platform for Okta to scale
• Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. 

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. 

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:

• Design, implement and own data-intensive, high-performance, scalable platform components
• Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
• Conduct and participate in design reviews, code reviews, analysis, and performance tuning
• Coach and mentor engineers to help scale up the engineering organization
• Debug production issues across services and multiple levels of the stack 

Required Knowledge, Skills, and Abilities: 

• 8+ years of experience in object-oriented language, preferably Java 
• Hands-on experience using a cloud-based distributed computing technologies including
• Messaging systems such as Kinesis, Kafka 
• Data processing systems like Flink, Spark, Beam
• Storage & Compute systems such as Snowflake, Hadoop
• Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos

• Experience in developing and tuning highly scalable distributed systems
• Excellent grasp of software engineering principles
• Solid understanding of multithreading, garbage collection and memory management
• Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Nice to have

• Maintained security, encryption, identity management, or authentication infrastructure
• Leveraged major public cloud providers to build mission-critical, high volume services
• Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
• Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
• Experience developing Kubernetes based services on AWS Stack

#LI-Hybrid

#P24820

POS-30314

HubSpot’s mission is to Help Millions of Organizations Grow Better. HubSpot’s Operations team is core to this goal by supporting the HubSpotters who attract, engage, and delight HubSpot’s customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across Flywheel. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape. 

We believe in the power of data to drive effective decision-making. We leverage data for both day-to-day operations (improving efficiency by surfacing the right data at the right time) and for strategy (fostering deep understanding of what makes our flywheel spin, and projecting how to spin it faster in the future). In this role, you’ll be a member of the Data, Systems, & Intelligence team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that will change the way we make decisions within Flywheel at HubSpot. 

We’re looking for Analytic Engineers with a strong interest in building and maintaining flexible, reusable architecture for our highest value data assets. In this role, you will develop a deep understanding of the business and analytics priorities to create solutions that will unlock our ability to scale and drive actionable insights.

In this role you’ll get to:

• Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution
• Build out scalable data models to analyze key parts of the HubSpot business
• Establish and uphold technical best practices in maintaining the data infrastructure and and contribute to the company's long term data strategy
• Support distributed operations teams as they utilize these foundational data models for reporting
• Perform complex root cause analysis of problems and subsequently, makes and implements recommendations to prevent future occurrences
• Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
• Scope requirements with internal stakeholders and lead working groups to usher projects through their entire lifecycle while building clear roadmaps for cross-functional team members
• Learn from our team of Analytics engineers, as well as HubSpot’s greater AE community
• Mentor and upskill other analytics engineers to create an inclusive team environment while promoting diversity, inclusion and belonging

We are looking for people who have:

• Several years of hands-on SQL experience, relational databases, and data modeling
• Ability to document technical design documents and organizational skills
• Proven communication skills and ability to bridge between business leaders, engineers, and data scientists
• Experience distilling complex ideas and data for both executives and front-line reps
• Creative problem solving skills to identify flexible solutions to business questions
• Insatiable curiosity and interest in learning new things
• Snowflake, dbt, and/or Looker experience is a plus

Role

Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. HubSpot is a place where everyone can grow. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work through. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #1 Best Place to Work on Glassdoor in 2020, and has been recognised for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot. 

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes.  Please see HubSpot's Recruiting Privacy Notice for more information. 

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

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

The opportunity

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

We are proud of: 

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

The role  

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

You will thrive in this role if you are: 

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

Role responsibilities

Must have qualifications

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

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

Nice to have qualifications  

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

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

Commitment to reaching all kinds of people 

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

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

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

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

Your application process

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

⚠️ Beware of recruitment fraud!

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

About Valtech

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

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

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

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

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

Job Title: Senior Data Analyst

Role Overview

We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams.

Key Responsibilities

• Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries.
• Engage with clients and business stakeholders to understand business context, objectives, and challenges.
• Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams.
• Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports.
• Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making.
• Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders.
• Collaborate closely with Data Engineering teams by providing clear and detailed requirements.
• Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery.
• Perform quality checks (QC) and validation of reports and dashboards before client delivery.
• Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation.
• Maintain proper documentation for dashboards, metrics, data logic, and business rules.
• Track work items, enhancements, and issues using JIRA.

Mandatory Skills & Requirements (Must-Have)

• Strong hands-on experience with Tableau (mandatory), including:
• Dashboard development and publishing
• Calculated fields, filters, parameters, and LOD calculations
• Data blending and joins
• Row-Level Security (RLS) implementation
• Replacing and managing data sources
• Experience with Snowflake (mandatory) as a primary data warehouse.
• Ability to perform QC checks and validation on dashboards and reports.
• Proficiency in SQL for data extraction, transformation, and analysis.
• Experience in preparing MoM, requirement documents, and functional documentation.
• Hands-on experience working with JIRA for task tracking and project management.

Desired Skills & Competencies

• Experience with other BI tools such as Power BI (added advantage).
• Strong analytical and problem-solving skills with the ability to handle complex business problems.
• Proven experience interacting with clients and business stakeholders for requirement gathering and solution design.
• Strong communication skills with the ability to present insights clearly through effective storyboarding and data narratives.
• Ability to work independently while managing multiple stakeholders and priorities.

Education & Experience

• 3–6 years of relevant analytics experience with a strong focus on problem-solving and advanced BI solutions.
• Bachelor’s degree in B.E., B.Tech, or an equivalent discipline.

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.

At Rockstar Games, we create world-class entertainment experiences.   

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly motivated environment where you can learn and collaborate with some of the most talented people in the industry.    

Rockstar is seeking a Senior Data Engineer to join our online services team, building an innovative game analytics platform and tools to better understand our players and enhance their experience across our titles.   

This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India.

WHAT WE DO

• The Rockstar Games Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.  
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.  

RESPONSIBILITIES

• Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.   
• Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation.
• Implement automated data quality frameworks and validation of pipelines.
• Build observability systems to monitor data integrity, drift, and system health. Troubleshoot complex data infrastructure and pipeline issues.
• Design analytics-ready datasets that power business intelligence and operational reporting.
• Partner with diverse stakeholders (including Data Scientists, Analysts, and ML Engineers) to define use cases and build robust data products.
• Translate large datasets into actionable insights for leadership and product teams.
• Explore emerging technologies including modern data platforms, distributed computing frameworks, build proof-of-concept solutions, and continuously improve platform scalability, performance, and cost efficiency 

REQUIREMENTS

• 6+ years’ experience in building data pipelines, distributed systems, or large scale data platforms on major clouds (Azure preferred).  
• Strong software engineering fundamentals: design patterns, testing strategies (unit, integration) code review practices, system design thinking Experience with big data frameworks such as Spark or Databricks.
• 4+ years’ experience using Python for maintainable, testable data engineering and Spark or Databricks for large scale processing.  
• Experience with workflow orchestration tools such as Airflow. 
• Experience with streaming technologies, notably Kafka, in distributed environments.  
• Proven work handling high volume structured and unstructured data (logs, telemetry, text) at scale.  
• Familiarity with AWS, Azure, or GCP data services and building cloud native data architectures.  
• Cross functional collaborator with strong communication skills for explaining complex systems to technical and non technical audiences.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Databricks platform experience (Delta Lake, Unity Catalog, Workflows).  
• Containerization and orchestration (Docker, Kubernetes). 
• Experience with Snowflake, Cassandra, or other modern data platforms.
• Experience building, maintaining, or scaling ML infrastructure.
• Experience with CI/CD and deployment tools (TeamCity, Octopus) and Artifact Repositories (JFrog, Proget).
• Experience with Terraform.
• Gaming industry experience or passion for games.  

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-RN1

Overview of Role

We are seeking a highly skilled Cloud Data Engineer to join our Managed Services team. In this role, you will be the technical backbone for our enterprise clients, responsible for designing, building, and maintaining high-performance data platforms using Snowflake and Azure Databricks. You will act as a trusted advisor, ensuring that our customers' data ecosystems are scalable, secure, and cost-optimized across multi-cloud environments.

Key Responsibilities

• Platform Engineering: Design and implement end-to-end data lakehouse architectures using Azure Databricks (Delta Lake),Azure HDInsights and Snowflake Cloud Data Warehouse.
• Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows from HDInsight-managed Hadoop and Kafka clusters.
• Managed Services Support: Provide Tier-3 technical support for client environments, including performance tuning, complex bug fixes, and architectural optimizations.
• Multi-Cloud Integration: Oversee data movement and integration strategies across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities for clients.
• Cost & Performance Governance: Monitor and optimize Snowflake credit consumption and Databricks cluster usage to ensure clients receive maximum ROI.
• Security & Compliance: Implement enterprise-grade security including Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking (Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).

Required Technical Skillset

Experience & Qualifications

• Experience: 5+ years in Data Engineering, with at least 3 years of hands-on experience in both Snowflake and Databricks.
• Managed Services Background: Proven experience supporting external customers with strict SLAs and complex governance requirements.
• Multi-Cloud (Plus): Direct experience deploying Snowflake or Databricks on AWS or GCP is highly desirable.
• Certifications (Preferred): * SnowPro Core or Advanced Architect
• Databricks Certified Data Engineer Professional
• Microsoft Certified: Azure Data Engineer Associate (DP-203)

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Designation  :DevOps Engineer
Location: Bangalore
Work Mode: Hybrid
Experience Required: 2–4 years

Job Summary

We are looking for a Professional Services OPS Engineer to support client-facing data
operations and workflow execution. This role focuses on job monitoring, issue resolution,
data sharing, and operational support across multiple platforms to ensure reliable and
timely client deliverables.

Key Responsibilities

• Monitor and troubleshoot job failures in Visual Cron, Argo, and Databricks
• Perform root-cause analysis and implement fixes to maintain workflow stability
• Build, schedule, and maintain workflows using Visual Cron, Argo, Databricks Jobs, and
Snowflake Tasks
• Manage data sharing and deliveries via Databricks Share, Snowflake Share, S3, and SFTP
• Push MDE and non-MDE data to client environments post job success
• Support monthly refresh cycles, reruns, backfills, and ad-hoc operational requests
• Handle client and internal PS inquiries related to deliverables and missing files
• Collaborate with internal teams to improve operational processes

Required Skills

• Hands-on experience with job schedulers (Visual Cron preferred)
• Argo or Airflow workflow orchestration
• Strong working knowledge of Databricks
• SQL for data validation and troubleshooting
• Python for scripting and automation
• Basic knowledge of S3
• Experience with SFTP-based data deliveries

Good to Have

• Snowflake Tasks and Snowflake Share
• Azure Blob Storage Exposure and Experience supporting client-facing or production systems.

We are hiring across multiple locations

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

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

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary: 

The Customer Architect has a passion for fostering strong customer relationships and maximizing customer experience. This dynamic role combines industry expertise with technical knowledge to ensure customers achieve maximum value from our solutions. As a  Customer Architect, you will focus on Strategic Technical Alignment, Operational Excellence and Expedited Issue Resolution and customer advocacy. If you thrive on problem-solving, building strategic partnerships, and driving operational excellence, we want to hear from you!

Job Duties and Responsibilities:

• Serve as the technical expert on Reltio platform capabilities for customers as they develop solutions aligning with the customer’s business needs. 
• Present technical knowledge of architectural designs including integration approaches.
• Deliver workshops and advisory services to enhance customer technical understanding, promoting optimal product usage and alignment with Reltio’s best practices.
• Hands-on experience working technically with customer engineering (Support), Advanced customer engineering, and cross-functional teams. 
• Manage customer portfolio of tickets,  resolutions, and product enhancement requests.
• Own dedicated escalation paths with customers, coordinating resources and driving timely resolution of tickets to exceed customer expectations. Act as a single point of contact for customer engineering issues. 
• Stay at the forefront of industry trends and challenges and offer Reltio’s customers informed and proactive guidance.
• Ensure a seamless onboarding experience, setting the foundation for long-term customer satisfaction.
• Participate in customer engagement initiatives, including executive business reviews and CSAT/NPS surveys to cultivate strong partnerships.
• Advocate for customer needs, translating them into documentation and product enhancement requests.
• Deliver the highest quality customer/partner experience and engage in highly technical discussions.
• Ability to travel to customer sites upon request. 
• Other duties and responsibilities as assigned. 

Skills You Must Have: 

• Bachelor’s degree in computer science engineering or similar field of study.
• 5+ years of experience working in a technical support capacity.  
• 5+ years of experience supporting enterprise products in a SaaS in a customer-facing role. 
• 3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
• 3+ years of experience with REST APIs and integration tools.
• 3+ years of experience with on-premise or cloud MDM solutions.
• Experience in observability and monitoring tools such as LogDNA, CloudWatch, etc.
• Experience interfacing directly with Product Management, and engineering teams to escalate and seek resolution on product issues as well as provide customer requirements for future product releases.
• Excellent reporting/analytical skills - experienced in developing dashboards with reporting technologies and influencing customers/partners by sharing action-oriented insights.  
• Experience supporting both Enterprise-focused applications, preferably with a focus on data management, analytics, and big data platforms and technologies.
• Accountability - acceptance of responsibility and willingness to commit to and deliver measurable work and results.
• Excellent communication, problem-solving, risk management, and project management skills.

Skills That Are Nice to Have:  

• Prior experience working with data products within enterprise space. 
• Prior experience working with Salesforce, Snowflake, GoogleBigQuery, etc.

About the Role : 

ZoomInfo is looking for an experienced, results-oriented Integration Support Specialist who excels in communication, presence, and confidence. This role is an integral part of our strategy to ensure every customer is successful. You will work with our customers to build relationships and drive value based on customer-defined goals, and will be responsible for delivering exceptional customer experiences through friendly, efficient, accurate service and quick resolution of customer incidents and inquiries.

Shift : Flexibility to work in EST & PST

Hybrid work set up : 3 days in office and 2 days work from home

What You'll Do:

• Provide day-to-day support for our growing customer base, including both incident management and providing workflow recommendations to ensure customers can get the most out of our platform and its integrations.
• Effectively triage and manage escalations to engineering teams for issues that can’t be resolved 
• Document best practices and other useful information to better enable our customers through our online support tools
• Serve as the voice of the customer by ensuring customer feedback is clearly captured and conveyed internally to enable ongoing improvement of ZoomInfo products and services
• Learn third-party products and their integrations to educate and guide customers on usage and product adoption
• Identify renewal risks and up-sell opportunities, collaborate with internal teams to remediate issues, ensuring a high level of customer satisfaction enabling a successful renewal
• Other related duties as assigned

What You Bring:

• Bachelor’s degree Mandatory and 2-3 years of equivalent work experience in SaaS organization 
• Adaptable to Night shift (EST / PST)
• Technical CRM, MAT, or Sales Acceleration platform experience; Certification with Salesforce, Marketo, HubSpot, Eloqua and/or Microsoft Dynamics is a strong plus
• Experience with SOQL (Salesforce), and troubleshooting Salesforce Managed Packages
• Familiarity with troubleshooting or interacting with API's
• Prior experience using DataDog, Jira, and Snowflake
• Prior experience with video conferencing applications
• Proven ability to multi-task and successfully manage multiple priorities simultaneously
• Must have a strong attention to detail and be a self-directed problem solver
• Ability to adapt and pivot in a fast paced, ever-changing environment
• Excellent customer service skills and the ability to be empathetic, accurate, compassionate, responsive, resourceful, and conscientious
• A strong sense of urgency
• Ability to empower end-users to support themselves using our online training resources
• Excellent organizational, written and oral communication skills – You must be able to convey technical jargon in a wide-array of syntax from beginner-level users to developers
• Ability to evaluate, troubleshoot, and follow-up on customer issues as well as replicate and document for further escalation
• A desire and aptitude to learn and understand technical infrastructure
• A positive attitude

About the Role

At Degreed, we help organizations build and measure the skills that power their future. As our data volume and platform complexity continue to grow, we are investing in scalable, high-performance data architecture to support long-term product innovation and business expansion. This role exists to move us beyond maintenance and into the next phase of data platform evolution. As a Senior Data Engineer, you will design and optimize the core data layer that enables internal teams and clients to access reliable, performant, and trusted data at scale.

We are seeking candidates with 5  to 10 years of relevant experience in data engineering, demonstrating strong ownership of data platform components and the ability to operate in complex, high-scale environments.

Key Skills

• Advanced proficiency in Snowflake and SQL, demonstrated by designing performant queries, optimizing warehouse usage, and improving cost efficiency across large-scale datasets
• Strong experience with dbt and dimensional data modeling, including building modular, scalable models and enforcing testing and documentation standards
• Proven experience building and orchestrating data pipelines using tools such as Airflow, Meltano, or similar orchestration frameworks in production environments
• Experience working with infrastructure-as-code and containerized environments, such as Kubernetes and Terraform, supporting reliable and reproducible data platform deployments
• Demonstrated ability to design data architectures that scale with increasing data volume and concurrency, reducing bottlenecks and improving system reliability
• Experience leading or contributing to complex data engineering projects, managing tasks through tools such as Jira and Confluence, and delivering against defined milestones
• Proven experience mentoring data engineers, conducting code reviews, and elevating team standards through shared best practices
• Experience operating in environments with production support responsibilities, including on-call rotations and incident resolution processes
• Ability to collaborate cross-functionally with analytics, product, engineering, and business stakeholders to translate data requirements into robust technical solutions
• Ability to leverage AI tools and technologies relevant to data engineering workflows, such as AI-assisted query optimization, pipeline monitoring, documentation generation, or anomaly detection
  
  

Key Responsibilities

• Design and build a scalable, high-performance data layer used across internal teams and external client-facing use cases
• Optimize and refactor existing data models in Snowflake to improve efficiency, maintainability, and performance
• Develop and maintain reliable, production-grade data pipelines that ensure accuracy, timeliness, and consistency of business-critical data
• Implement infrastructure and orchestration improvements that strengthen platform stability, scalability, and observability
• Collaborate with analytics and product teams to define data requirements and translate them into scalable data solutions
• Conduct code reviews and mentor team members to elevate engineering standards and promote best practices
• Participate in on-call rotations and incident response processes to maintain 24/7 data platform reliability
• Contribute to architectural decisions and long-term roadmap planning to ensure the data platform supports future business growth
  
  

About the Role

As Senior Developer Content Manager for Connector SDK, you will drive developer adoption through hands-on enablement content and community engagement. You'll create the tutorials, walkthroughs, and code samples that get developers successfully building with Fivetran's Connector SDK. You'll write Python alongside prose, engage directly with developers and open source contributors, and think constantly about onboarding — what's confusing, what's missing, what makes someone give up. You'll work closely with the Connector SDK technical writing team who own the reference documentation, and bridge engineering, product, and go-to-market teams to drive adoption and growth.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. You will report to the Director of Technical Writing.

Technologies You’ll Use

• GitHub for version control, open source community management and code review
• AI coding assistants (GitHub Copilot, Claude, ChatGPT) for content creation and code examples
• Python for creating connector examples, reviewing community code, and hands-on enablement
• Video creation tools for tutorial and demo content
• Community platforms such as Slack communities, forums
• Content management such as docs-as-code, Slab, Google Slides, YouTube

What You’ll Do

• Define the Connector SDK developer content and community strategy, including metrics to measure impact and success
• Create tutorials, quickstart guides, code walkthroughs, and video content optimized for AI-assisted development workflows
• Develop and maintain working Python code samples that demonstrate connector patterns developers can use and adapt
• Work with the Connector SDK technical writing team to ensure learning content and documentation resonate with code-first audiences
• Partner with Marketing on developer-facing blog posts, case studies,  technical thought leadership content and other developer relations activities
• Build and grow the Connector SDK developer community through remote and in-person hackathons, meetups, conferences, and strategic partnerships
• Own the Connector SDK open source community and contributors' experience, managing contributions and facilitating PR reviews with Engineering and Technical Writing teams
• Enable Sales and Solution Architecture teams through training materials, technical playbooks, and hands-on workshops
• Advocate for resources from Marketing, Product, and Engineering to support high-impact Connector SDK initiatives

Skills We’re Looking For

• 5+ years in developer relations, technical community management, or developer-focused content creation
• Ability to work on a schedule that overlaps with global colleagues - available until 12 noon PST/PDT most days.
• Proven experience creating developer-facing educational content: tutorials, videos, code walkthroughs, workshop materials, or similar hands-on material
• Working Python skills: can read, write, and debug code, review PRs, and create working examples
• Experience organizing hackathons, meetups, conferences, or managing open source communities
• Demonstrated success driving measurable adoption metrics for developer-facing products
• Strong cross-functional collaboration with ability to align Engineering, Product, Marketing, and GTM teams
• Strategic thinker who identifies high-impact opportunities and executes with minimal oversight

Bonus Skills​

• Experience with AI-powered development tools (GitHub Copilot, Claude, ChatGPT) 
• Background in data engineering, ETL/ELT pipelines, data integration, or analytics engineering
• Technical writing or documentation experience in B2B SaaS environments
• Software engineering background or computer science education
• Active presence in developer communities 
• Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and modern data stack tools
• Video production and editing skills for technical content

#LI-HYBRID

#LI-DB1

About the Role

Fivetran is looking for a technical Senior Engineering Manager to join the engineering leadership team with a passion for data movement. You will be working closely with engineers and product managers to build the future of the Fivetran Data Platform.

As a Senior Engineering Manager, you will lead a team of engineers, and coordinate with other stakeholders at the company, including product management, support engineers, and sales engineers. You will own development for Fivetran’s world-class destinations for our entire customer base. The work you will do is critically important to the long term growth and success of Fivetran.

You will own the entire software development lifecycle for your team delivering capabilities that are critical to making our many customers successful. You will take full responsibility for the quality, efficiency, and reliability of your focus areas; and you will build and maintain a team that reliably delivers excellent results while maintaining a culture of engagement, fairness, and continuous improvement.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java, Postgres, GCP, AWS, Azure, SQL, Snowflake, BigQuery, Bazel, BuildKite, Docker, Kubernetes

What You’ll Do

• Lead your technically through project management, technical design authoring, and reviewing development work.
• Become an expert on what it takes to support our customers in the major CDWs.
• Develop engineers on your team and help them advance in their careers.
• Recruit engineers that are amongst the best in the industry, from outreach through close.
• You will diagnose and resolve obstacles that prevent your team from delivering high-quality software.
• Manage the processes necessary to operate the team effectively
• Contribute to engineering-wide initiatives as part of the engineering management team.
• You will foster an atmosphere of continuous improvement as a coach, mentor, and technical advisor to your team.

Skills We’re Looking For

• Strong Java programming experience with 10+ years of software engineering experience, including 4+ years in engineering leadership roles.
• Strong track record as an IC delivering high impact software.
• Strong leadership skills and a proven ability to motivate teams to produce high quality software.
• Aptitude in decision making and problem-solving.
• Demonstrated competency in development processes, with project and program leadership.
• Ability to develop and communicate across teams to get an effective vision and get buy-in from stakeholders.
• Ability to assess and iterate within an evolving software and services environment.
• Java programming experience with demonstrated technical skills in application or platform engineering.

Optional Bonus Skills:

• Experience developing integrations to major warehouses like Snowflake, Bigquery, and Databricks.
• Experience in data processing (ETL, ELT) and/or cloud-based platforms.
• Experienced working in a cloud environment utilizing AWS, GCP, Postgres, Kubernetes, Docker, BuildKite, or similar technologies.

#LI-HYBRID

#LI-AV1

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

• Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
• Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
• Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
• Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
• Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
• Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
• Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
• Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
• Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
• Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
• Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

• 3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations
• Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
• The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
• Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
• Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
• Excellent written, analytical, and communication skills
• Strong process and/or project delivery discipline
• Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

• Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
• Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
• Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
• Familiar with analytics best practices across business segments and verticals

#LI-Hybrid

About the Job

We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement.

As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights.

This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers.

What You Will Be Doing

• Design and implement Five9’s Customer Data Platform solutions and enable production use cases for customers

• Design and develop highly scalable and resilient services for ingesting large-scale datasets

• Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability

• Develop and orchestrate ETL/ELT pipelines using Apache Airflow

• Collaborate with cross-functional partners and lead technical initiatives independently end-to-end

• Design, build, and optimize distributed query engines such as Apache Spark or Snowflake to support complex data workloads

• Write, review, or provide feedback on technical design proposals from others

Skills

• 5–7 years of software/data engineering and data platform experience

• Extensive experience with data transformation and modeling, including advanced features and best practices

• Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management

• Good understanding of data streaming technologies such as Kafka/Kafka Connect

• Strong knowledge of highly scalable distributed systems, microservices, REST APIs

• Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL for data processing, transformation, and pipeline development

• Knowledge of Apache Airflow for workflow orchestration is nice to have

• Understanding of containerization and Kubernetes concepts

• Experience with the AWS cloud platform and infrastructure-as-code practices

• Maintain high standards of code quality with a keen eye for test automation and operational excellence

• Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases

• Excellent written and verbal communication and interpersonal skills

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience

Title: Principal Data Software Engineer

Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a visionary and technically adept Principal Data Software Engineer to design, develop and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. This role is pivotal in architecting scalable, secure, and high-performance data processing systems within a regulated healthcare environment. 

The ideal candidate brings deep technical expertise in data engineering, data governance, cloud infrastructure and hands-on experience with healthcare data standards, EMR integration, and clinical ontologie. The candidate should have a proven record of building secure, scalable data platforms. This position reports to the Senior Director, Product Development. This role requires close collaboration with data engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Responsibilities:

Platform Architecture & Design

• Design and implement scalable, secure, and efficient data architectures (e.g., data lakehouse, medallion architecture) to support enterprise AI and analytics initiatives.
• Define technical specifications for data ingestion, transformation, storage, and access layers.
• Evaluate and recommend tools, frameworks, and cloud infrastructure to optimize performance, scalability, and cost-efficiency.
• Ensure architectural alignment with organizational AI, analytics, and clinical application goals.

Data Engineering & Operations

• Develop and maintain high-performance data pipelines for both batch and streaming data processing, leveraging tools such as Apache Spark, Databricks or Snowflake.
• Implement deployment and orchestration frameworks (e.g., Airflow, dbt, Spark, Databricks, Snowflake)
• Adhere to engineering best practices for CI/CD, observability, incident response, and SLA adherence
• Optimize data processing systems for performance, reliability, and reusability.

• Mentor engineers to foster technical growth and ensure alignment with best practices in data engineering.

Governance, Quality & Compliance

• Collaborate with data governance and compliance teams to implement data security, encryption, and access control policies in line with HIPAA, GDPR, and other regulations.
• Ensure data quality through validation, lineage tracking, and metadata management practices.
• Support the development and maintenance of data catalogs for discoverability and stewardship

Collaboration & Technical Leadership

• Partner with data engineers, product teams, and clinical informatics specialists to deliver integrated data solutions.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaboration.
• Communicate complex technical designs and solutions to both technical and non-technical stakeholders effectively.
• Contribute to agile development practices, participating in code reviews, design discussions, and continuous improvement initiatives.

Innovation & Technical Expertise

• Stay informed about emerging trends in data engineering, cloud-native architectures, and healthcare data standards.
• Prototype and evaluate modern data frameworks and tools (e.g., Delta Lake, Apache Iceberg) to enhance platform capabilities.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Advocate for best practices in data platform design to ensure scalability, explainability, and compliance in AI-driven systems.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience with at least 4+ years in data engineering or platform roles
• Proven track record of designing and implementing cloud-native data processing systems.

Technical Proficiency

• Advanced proficiency in Python, Scala, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or Redshift).
• Demonstrated ability to transform raw clinical data into curated, ML-ready datasets for analytics and AI applications.
• Hands-on expertise in healthcare data standards including FHIR, HL7, USCDI, and CCDA

Professional Skills

• Strong problem-solving skills with a focus on delivering scalable and maintainable solutions.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

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

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

About SAI Group:

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

Overview
We are seeking a highly skilled Software Architect to design and guide the development of cloud-native, scalable, and resilient microservices. The ideal candidate will have deep technical expertise in distributed systems, event-driven architectures, and modern data platforms, and will play a critical role in setting the technical direction and architecture strategy for backend systems.

Key Responsibilities

• Architect end-to-end solutions for cloud-native applications with a strong focus on scalability, availability, performance, and security.
• Design and oversee the development of microservices architectures, ensuring clean service boundaries, loose coupling, and high maintainability.
• Define and guide the adoption of message queueing and streaming platforms (e.g., Kafka, Redis Streams, RabbitMQ) for event-driven communication and real-time processing.
• Architect and optimize data storage solutions, including distributed databases (e.g., Citus, PostgreSQL, Snowflake) to meet high availability and scalability requirements.
• Collaborate with engineering teams to define architecture blueprints, reference implementations, and technical standards.
• Perform architecture reviews, provide hands-on technical guidance, and ensure adherence to best practices in code quality, testing, observability, and security.
• Evaluate new technologies, frameworks, and tools; recommend and drive technology adoption aligned with long-term architectural goals.
• Work closely with DevOps, SRE, and security teams to ensure efficient CI/CD, infrastructure automation, and secure system design.
• Provide architectural support for customer-facing issues, performance bottlenecks, and production incidents.
• Advocate for domain-driven design (DDD), API-first design, and event-driven patterns across the engineering organization.

Minimum Qualifications 

• 10+ years of experience in software development, with 3+ years as a Software Architect or in a similar architectural leadership role.
• Proven experience in designing and deploying cloud-native applications using AWS, Azure, or GCP.
• Strong knowledge of microservices patterns, REST/gRPC APIs, and asynchronous communication.
• Hands-on experience with streaming and messaging platforms such as Apache Kafka, Redis Streams, RabbitMQ, or Amazon Kinesis.
• Expertise in distributed databases like Citus, Snowflake, PostgreSQL, Cassandra, or similar.
• Solid understanding of containerization and orchestration (e.g., Docker, Kubernetes, Helm).
• Familiarity with DevOps practices, including infrastructure as code (e.g., Terraform) and CI/CD pipelines.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK stack.
• Strong focus on scalability, performance tuning, reliability, and security best practices in architecture.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience with event sourcing, CQRS, or real-time data processing architectures.
• Familiarity with data pipelines, ETL workflows, and big data platforms.
• .net experience. 
• Understanding of multi-tenant SaaS architectures and compliance requirements (e.g., GDPR, SOC2).
• Prior experience with technical mentoring, code reviews, and engineering process improvements.

Why Five9

At Five9, we believe that technology is only as powerful as the people behind it. You’ll be part of a team that values collaboration, innovation, and accountability, and you’ll have the opportunity to make a meaningful impact on how global enterprises engage with their customers.

About Five9

Five9 is a global leader in cloud software for the enterprise contact center market, powering billions of customer interactions annually. Since 2001, Five9 has been at the forefront of the cloud revolution, helping organizations deliver exceptional customer experiences, improve productivity, and achieve measurable business outcomes. 

We are expanding our engineering and delivery teams in Bangalore and are seeking passionate professionals to help design, implement, and scale Five9’s next-generation cloud-native services

Overview

We are looking for a highly skilled Full-Stack Developer with expertise in .NET Core, to develop and maintain scalable web applications and microservices. The ideal candidate will have strong problem-solving skills, experience in modern software development, and a passion for creating robust, high-performance applications.

Key Responsibilities

Backend Development:

• Design, develop, and maintain microservices and APIs using .NET Core. Should have a good understanding of .NET Framework.
• Implement RESTful APIs, ensuring high performance and security.
• Optimize database queries and design schemas for SQL Server / Snowflake / MongoDB.

Software Architecture & DevOps:

• Design and implement scalable microservices architecture.
• Work with Docker, Kubernetes, and CI/CD pipelines for deployment and automation.
• Ensure best practices in security, scalability, and performance.

Collaboration & Agile Development:

• Work closely with UI/UX designers, backend engineers, and product managers.
• Participate in Agile/Scrum ceremonies, code reviews, and knowledge-sharing sessions.
• Write clean, maintainable, and well-documented code.

Qualifications & Skills

• 7+ years of experience as a Full-Stack Developer.

• Strong experience in .NET Core, C#.

• Proficiency in React.js, JavaScript (ES6+), TypeScript.

• Experience with RESTful APIs, Microservices architecture.

• Knowledge of SQL / NoSQL databases (SQL Server, Snowflake, MongoDB).

• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

• Familiarity with Cloud services (Azure, AWS, or GCP) is a plus.

• Strong debugging and troubleshooting skills

Nice to Have

• Experience with GraphQL, gRPC, or WebSockets

• Knowledge of authentication/authorization frameworks (OAuth, JWT, Identity Server)

• Exposure to serverless architecture and cloud-native best practices

• Background in automated testing (unit, integration) 

Why Five9

At Five9, we believe that technology is only as powerful as the people behind it. You’ll be part of a team that values collaboration, innovation, and accountability, and you’ll have the opportunity to make a meaningful impact on how global enterprises engage with their customers.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Sr Analyst, Data Science to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

• We are looking for a Senior Product Analyst, Data Science, to drive analytics for ML-powered products at project44.
• This role sits at the intersection of Product, Data Science, and Operations, with a mandate to define how ML systems are measured, evaluated, and improved in production. You will own the analytical frameworks that connect model performance to product outcomes, ensuring our AI capabilities deliver measurable business impact.
• You will work on ambiguous, high-impact problems, designing experiments, evaluating models (offline and online), and shaping product strategy through data. This is not a reporting role. You are expected to operate as a thought partner to Product and Data Science, influencing decisions and driving outcomes.
• As analytics evolves, this role will focus on building AI-native and agent-driven analytics systems, including semantic layers, data contexts, and automated insight generation. You will help define how analytics is consumed in an environment where agents, not just dashboards, drive decisions.

What You’ll Do

Own Product & ML Measurement

• Define and operationalize success metrics across product and ML systems, including north-star metrics, product KPIs, and model-level evaluation frameworks.

Drive Model Evaluation & Feedback Loops

• Evaluate model performance using offline and online metrics (e.g., precision/recall, lift, latency, adoption) and establish feedback loops to continuously improve models in production.

Translate Product Problems into Analytical Frameworks

• Break down ambiguous product and operational problems into structured analyses that drive clear, actionable decisions.

Partner Across Product & Data Science

• Work closely with Product Managers and Data Scientists to shape roadmaps, guide prioritization, and ensure alignment between model performance and user impact.

Build Scalable Analytics Foundations

• Develop reusable datasets (SSOTs, data marts) and enable self-serve analytics across teams.

Build AI-Native Analytics Systems

• Design and develop semantic layers, data models, and context systems that enable agent-driven analytics. Build and operationalize workflows where agents autonomously generate insights, monitor performance, and surface recommendations on a recurring basis.

Design Agent-Driven Analytics Workflows

• Design and implement agent-driven analytics workflows where insights are generated, monitored, and delivered autonomously using LLMs and modern AI tooling.

What We’re Looking For

4–6+ years in Product Analytics, Data Science, or related roles, with experience supporting data-driven product decisions.

Analytical & Statistical Expertise

Strong foundation in statistics and experimentation, including hypothesis testing, A/B testing, and causal inference.

Technical Skills

Proficiency in SQL and Python, with experience working with large-scale, event-level datasets and modern data platforms.

ML Product Understanding

Experience defining and analyzing model performance metrics and understanding trade-offs between offline and online evaluation.

Cross-Functional Collaboration

Proven ability to work closely with Product and Data Science teams to drive outcomes.

Communication & Influence

Ability to clearly communicate complex analyses and influence stakeholders across technical and non-technical audiences.

Preferred Skills

• Experience working on ML-powered products or data platforms
• Familiarity with model evaluation concepts (precision/recall, ROC, calibration, bias/variance)
• Experience analyzing online vs offline performance and feedback loops
• Familiarity with modern data stack (dbt, Snowflake/BigQuery, event tracking, feature stores)
• Experience with predictive modeling or close collaboration with Data Science teams
• Hands-on experience using AI tools (LLMs, copilots) in analytical workflows
• Experience building or working with agent-based or AI-native analytics workflows
• Familiarity with semantic layers, metrics layers, or data context systems
• Experience using LLMs for automated analysis, insight generation, or decision support
• Strong product and business intuition

What Success Looks Like (6–12 Months)

• Establish clear measurement frameworks for assigned ML-powered products
• Improve visibility into model performance and diagnostics (offline and online)
• Deliver actionable insights that influence product roadmap decisions for assigned products
• Build scalable datasets and frameworks that enable self-serve analytics
• Enable tighter feedback loops between Product, Data Science, and real-world outcomes

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

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

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

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

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

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Staff Data Scientist to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

• Staff Data Scientist to lead the development of next-generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high-value ML capabilities and build reusable Data Science platform primitives that scale across teams.
• In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning-driven diagnostics, automation, and intelligent decision support across the supply chain.
• You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production-grade systems and establish a scalable, repeatable approach to AI development at P44.

What You’ll Do

• Drive High-Impact ML Systems Lead end-to-end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models).
• Build Data Science as a Platform Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time-to-production.
• Lead GenAI & Agentic Systems Build LLM-powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability.
• Translate Business Problems into ML Solutions Convert customer workflows into well-defined ML problems and ensure measurable business impact.
• Drive Experimentation & Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes.
• Collaborate Across Engineering Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle.

What We’re Looking For

• Experience 8–10+ years in Data Science / Applied ML with a strong track record of building and deploying production-grade ML systems.
• Core Modeling & Technical Expertise Deep expertise across tree-based models, transformers, probabilistic modeling, and feature engineering, with a strong data-centric mindset.
• Data & Platform Fluency Proficient in SQL and Python, with hands-on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling.
• GenAI & LLM Capability Experience building RAG systems, working with embeddings and vector databases, and developing LLM-based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems.
• Systems & Engineering Mindset Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production-quality code.
• Analytical Rigor & Diagnostics Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks.
• Data Quality & Signal Awareness Experience handling messy, real-world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues.
• Modeling Judgment & Trade-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade-offs across models and systems.
• Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade-offs across accuracy, scalability, latency, and customer experience.
• Leadership & Communication Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non-technical audiences. Proven track record of driving measurable business impact.

Preferred Skills

• Experience in logistics (Ocean, Truckload), supply chain, or high-volume operational systems
• Experience with geospatial data, routing, and tracking systems
• Experience with anomaly detection, fraud modeling, ETA prediction
• Experience building internal platforms or tools for DS teams

What Success Looks Like (6–12 Months)

• Deliver 2 high-impact ML capabilities with measurable customer value
• Establish standardized experimentation, monitoring, and RCA workflows
• Introduce GenAI/agentic capabilities that improve productivity and insight generation
• Reduce time-to-production and increase reuse across DS teams
• Drive measurable improvements in model performance and system reliability

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

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

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

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

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

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Staff Data Engineer to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

We are looking for a Staff Data Engineer to drive the execution and scaling of project44’s data platform.This role sits at the intersection of Data Engineering, Data Science, and Product, with a mandate to translate architectural vision into reliable, scalable systems used across teams.

You will partner closely with other data engineers to implement platform direction, establish engineering standards, and ensure consistent, high-quality execution across data systems. Your focus will be on solving complex data challenges, driving adoption of best practices, and enabling teams to build efficiently on a shared foundation.

As AI reshapes how data systems operate, you will also help integrate agentic and GenAI-powered workflows into data pipelines and developer workflows—improving automation, observability, and system intelligence.

What You’ll Do

Drive Platform Execution

• Translate architectural direction into production-grade systems across ingestion, transformation, and serving layers.

Establish Standards & Best Practices

• Define and enforce patterns for data modeling, pipeline design, observability, testing, and data quality across teams.

Solve Complex Data Problems

• Own and resolve high-impact technical challenges related to scale, latency, reliability, and cost efficiency.

Enable Consistency Across Teams

• Work across multiple teams to drive adoption of shared data models, tooling, and engineering practices.

Build Scalable Data Systems

• Develop and optimize pipelines and data systems for performance, maintainability, and long-term scalability.

Integrate AI-Native Workflows

• Implement agentic and GenAI-driven workflows to automate data operations, improve monitoring, and accelerate development.

Mentor & Raise the Bar

• Act as a technical leader within the team, mentoring junior engineers and elevating engineering quality across the organization.

What We’re Looking For

8–10+ years in Data Engineering or Software Engineering, with a strong track record of building and scaling production-grade systems.

Technical Expertise

• Strong programming skills (Python preferred, Java/Scala a plus) and deep experience with modern data technologies (Spark, Snowflake, Databricks).

Data Systems & Execution

• Proven ability to build and operate reliable, scalable data pipelines and systems in production environments.

Data Modeling & Warehousing

• Strong experience in data modeling, warehousing, and building analytics- and ML-ready datasets.

Distributed Systems & Trade-offs

• Ability to navigate trade-offs across performance, cost, reliability, and scalability in cloud-native systems.

AI & Modern Tooling

• Experience leveraging GenAI or agentic tools to improve developer productivity, automate workflows, or enhance data systems.

Cross-Team Influence

• Experience working across teams to drive alignment, adoption of standards, and consistent execution.

Communication & Leadership

• Strong communication skills and the ability to influence technical decisions across teams.

Preferred Skills

• Experience with real-time and event-driven systems (Kafka, streaming architectures)
• Familiarity with orchestration tools (Airflow, Argo) and containerization (Docker, Kubernetes)
• Experience with data governance and access control (RBAC)
• Exposure to analytics and BI tools (Looker, Tableau)
• Experience building shared data platforms or internal tooling
• Background in logistics, supply chain, or high-scale operational systems

What Success Looks Like (6–12 Months)

• Successfully implemented core data platform patterns across multiple teams
• Improved data reliability, observability, and quality in critical pipelines
• Reduced inconsistency in data models and engineering practices across teams
• Enabled faster development and deployment of data and ML workflows
• Introduced AI-driven improvements in data workflows and developer productivity
• Acted as a key technical leader, raising the bar for execution and engineering quality

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

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

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

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

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

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Senior Data Scientist to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

• Senior Data Scientist to lead the development of next-generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high-value ML capabilities and build reusable Data Science platform primitives that scale across teams.
• In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning-driven diagnostics, automation, and intelligent decision support across the supply chain.
• You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production-grade systems and establish a scalable, repeatable approach to AI development at P44.

What You’ll Do

• Drive High-Impact ML Systems Lead end-to-end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models).
• Build Data Science as a Platform Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time-to-production.
• Lead GenAI & Agentic Systems Build LLM-powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability.
• Translate Business Problems into ML Solutions Convert customer workflows into well-defined ML problems and ensure measurable business impact.
• Drive Experimentation & Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes.
• Collaborate Across Engineering Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle.

What We’re Looking For

• Experience 5+ years in Data Science / Applied ML with a strong track record of building and deploying production-grade ML systems.
• Core Modeling & Technical Expertise Deep expertise across tree-based models, transformers, probabilistic modeling, and feature engineering, with a strong data-centric mindset.
• Data & Platform Fluency Proficient in SQL and Python, with hands-on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling.
• GenAI & LLM Capability Experience building RAG systems, working with embeddings and vector databases, and developing LLM-based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems.
• Systems & Engineering Mindset Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production-quality code.
• Analytical Rigor & Diagnostics Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks.
• Data Quality & Signal Awareness Experience handling messy, real-world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues.
• Modeling Judgment & Trade-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade-offs across models and systems.
• Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade-offs across accuracy, scalability, latency, and customer experience.
• Leadership & Communication Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non-technical audiences. Proven track record of driving measurable business impact.

Preferred Skills

• Experience in logistics (Ocean, Truckload), supply chain, or high-volume operational systems
• Experience with geospatial data, routing, and tracking systems
• Experience with anomaly detection, fraud modeling, ETA prediction
• Experience building internal platforms or tools for DS teams

What Success Looks Like (6–12 Months)

• Deliver 2 high-impact ML capabilities with measurable customer value
• Establish standardized experimentation, monitoring, and RCA workflows
• Introduce GenAI/agentic capabilities that improve productivity and insight generation
• Reduce time-to-production and increase reuse across DS teams
• Drive measurable improvements in model performance and system reliability

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

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

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

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

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

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.