Position Summary

This role will be an integral contributor to the SCS FP&A function, with a strong emphasis on data analytics, financial systems, automation, and scalable reporting. The ideal candidate brings a technical and analytical skill set — with experience in data analytics, data engineering, business intelligence, or financial systems — and can translate complex data into clear financial insights, executive-ready reporting, and actionable business recommendations.

The Senior Associate will partner closely with the Head of FP&A, CFO, and cross-functional stakeholders to improve financial reporting infrastructure, enhance forecasting and planning processes, support technology implementations, and deliver high-quality analysis for strategic initiatives. This role is well suited for someone who enjoys solving ambiguous business problems, working with large and complex datasets, building repeatable analytical processes, and communicating insights to senior leaders.

This is a hybrid role based in Boston, MA.

Primary Responsibilities

• Partner with the Head of FP&A and CFO on critical finance, data, and technology initiatives, including financial systems implementations, reporting automation, and planning process improvements
• Build, maintain, and enhance scalable financial reporting and analytical tools using Excel, Power BI, SQL, planning systems, or other data visualization / business intelligence platforms
• Support the annual budgeting and rolling forecasting processes by improving data workflows, coordinating stakeholder inputs, managing timelines, and ensuring accuracy across financial models and reporting outputs
• Partner with finance, accounting, operations, and technology teams to improve data quality, streamline reporting processes, and automate recurring analyses where possible
• Translate business questions into structured analyses, dashboards, models, and reporting outputs that support decision-making across the organization
• Manage multiple concurrent projects, ensuring priorities, milestones, deliverables, and stakeholder expectations are met in a dynamic environment

Qualifications

• Bachelor’s degree in finance, economics, data analytics, engineering, information systems, computer science, mathematics, or a related analytical field
• 3+ years of experience in IT development, data analytics, data engineering, business intelligence, consulting, or a similarly analytical / technical environment
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and translate findings into clear business narratives
• Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar data analytics / automation tools strongly preferred
• Experience building dashboards, automated reporting processes, financial models, or analytical tools that improve decision-making and reduce manual effort
• Strong understanding of financial statements, budgeting, forecasting, variance analysis, and key business performance drivers
• Experience with Workday Adaptive Planning, Snowflake, data warehouses, or similar financial planning / data platforms is a plus
• Demonstrated ability to structure ambiguous problems, manage analytical workstreams, and partner effectively with finance, technology, and senior business stakeholders
• Strong written and verbal communication skills, with the ability to present technical or analytical concepts clearly to non-technical audiences
• Detail-oriented, intellectually curious, and comfortable balancing hands-on data work with executive-level communication and project management

This is an exempt position. The annualized base pay range for this role is expected to be between $90,000 - $110,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-JS1

This position will play a pivotal technical leadership role in realizing Heartflow’s vision of a single, comprehensive platform to manage heart disease. As a Staff Data Architect, you will lead the data strategy for our medical device system—defining how clinical, imaging, and operational data is structured, stored, accessed, and governed across our AWS-based platform and partner ecosystems.

You will own the architectural roadmap for our transactional databases, analytical Data Lake, and the pipelines that connect them. Operating at the staff level, you will set the standards for data modeling, query performance, and access patterns, partner deeply with Software Engineering, IT, Research, and Systems Engineering, and elevate the semantic structure of our data so that our products—including emerging AI agents—operate on a trustworthy, well-described, and compliance-ready foundation.

Job Responsibilities:

• Lead Data Strategy for the Medical Device System: Define the multi-year data architecture vision spanning transactional databases, Data Lake, and downstream consumers. Translate product, clinical, and regulatory requirements into a coherent data strategy that scales as Heartflow’s portfolio grows.
• Oversee Database Performance & DBA Excellence: Set direction for database operations across the platform—uptime, capacity, backups, recovery, schema evolution, and incident response. Establish SLOs, observability, and runbooks; partner with engineering and SRE teams to ensure mission-critical clinical workloads remain fast, reliable, and secure.
• Lead Enterprise Data Modeling: Own conceptual, logical, and physical data models across operational and analytical systems. Drive consistent representation of patients, studies, cases, results, and devices, and steward the master data and reference data needed for high-integrity clinical reporting.
• Partner with Software Engineering on Query Performance & Access Patterns: Embed with product engineering teams to improve indexing, partitioning, caching, and read/write patterns. Coach engineers on data access best practices, review high-impact query and schema changes, and reduce cost and latency at scale.
• Architect the Data Lake & Data Pipelines: Partner with IT, Research, and Systems Engineering teams to design and evolve the Data Lake, lakehouse layers, and ingestion/transformation pipelines. Define standards for data contracts, lineage, quality, and governance from source-of-truth systems through curated analytical and ML-ready datasets.
• Advance the Semantic Structure for AI Agent Context: Lead efforts to enrich Heartflow data with semantics—ontologies, controlled vocabularies, schema registries, and metadata—so that AI agents and downstream consumers can reliably retrieve, reason over, and act on clinical and operational information.
• Champion Compliance, Security & Privacy: Ensure data architectures, flows, and access controls strictly adhere to FDA, HIPAA, GDPR, and other applicable standards. Partner with Quality, Regulatory, InfoSec, and Privacy teams to embed compliance into the data lifecycle by design.
• Provide Technical Leadership: As a staff-level technical multiplier, mentor data and software engineers, set engineering standards for data work, influence technology and tool selection, and represent the data architecture function in cross-functional planning, hiring panels, and roadmap reviews.

Skills Needed:

You have experience in the following:

• Data Architecture & Strategy: Defining multi-year data architecture for complex, regulated platforms—spanning OLTP databases, Data Lakes / lakehouses, streaming pipelines, and downstream analytical and ML consumers.
• Database Engineering & DBA Leadership: Deep expertise in relational and modern cloud databases (e.g., PostgreSQL, Aurora, Snowflake, Redshift, or equivalent) including performance tuning, partitioning, indexing strategy, replication, HA/DR, and operational excellence.
• Data Modeling: Expert-level conceptual, logical, and physical modeling for both transactional and analytical workloads (3NF, dimensional modeling, Data Vault or equivalent), including modeling for healthcare/clinical domains.
• Data Lake & Pipelines: Designing scalable Data Lake / lakehouse architectures (e.g., S3, Iceberg/Delta/Hudi, Glue, EMR, Spark, dbt, Airflow, Kafka) with strong patterns for data quality, lineage, and governance.
• Cloud Platforms: Building data systems in modern cloud ecosystems—AWS preferred—with a strong grasp of cost, security, and reliability tradeoffs at scale.
• Semantic Data & AI Enablement: Working with metadata, schema registries, ontologies, and semantic layers to make data discoverable and usable by humans, applications, and AI/agentic systems.
• Healthcare Data & Compliance: Working with clinical, imaging, or device data under regulatory regimes such as FDA, HIPAA, and GDPR; familiarity with healthcare data standards (e.g., FHIR, HL7, DICOM) is a strong plus.
• Technical Leadership: Mentoring senior engineers, driving cross-team architectural decisions, establishing engineering standards, and influencing technology selection across multiple teams and programs.

You are passionate about:

• Platform Vision: Realizing the vision of a single, unified data platform that powers Heartflow’s products and AI capabilities.
• Engineering Excellence: Championing high-quality data systems, rigorous review and testing practices, and elevating the technical baseline of the entire team.
• Strategic Ownership: Taking end-to-end ownership of complex architectural domains and operating independently with a high degree of latitude.
• Constructive Collaboration: Fostering open communication across Engineering, IT, Research, and Systems Engineering, and guiding healthy technical debates that result in better outcomes.
• Innovation: Pragmatically evaluating and introducing state-of-the-art data, semantic, and AI-enabling technologies to solve real clinical and operational problems.

You are excited to dive deeper into:

• Domain Expertise: Advancing the frontier of Software as a Medical Device (SaMD) and clinical data platforms in the cardiology space.
• Regulatory Innovation: Navigating and innovating within strict regulatory environments (FDA, HIPAA, GDPR) to securely deliver life-saving medical applications.
• AI Agent Data Foundations: Designing the semantic, governance, and retrieval layers that allow AI agents to operate safely, accurately, and with appropriate context over Heartflow data.

Educational Requirements & Work Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience. Master’s preferred.
• 10+ years of relevant industry experience in data architecture, data engineering, and/or database engineering, including time spent leading architecture across multiple teams or programs.

A reasonable estimate of the base salary compensation range is $190,000 to $250,000, plus bonus and equity. #LI-Hybrid

We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: Spain, Barcelona, Hybrid or Madrid, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Excellent written and verbal communication skills in English and Spanish.

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Competitive knowledge is a big plus

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

Location: Cincinnati

Travel Required: 2-3 times yearly 

Job Summary 

The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Data Scientist, you’ll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. 

What You’ll Do  

• In this role, you’ll work with a cross-functional team to enhance PatientPoint’s durable provider growth strategy.  
• You’ll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.  
• To be successful, you’ll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.  
• To stay organized, you’ll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs). 
• To maximize impact, you’ll proactively share insights with your cross-functional collaborators and data science team.   

What We Need  

• Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field.
• 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. 
  • Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights.  
• Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. 
• Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing. 
• Experience taking models from development to production, monitoring performance, and iteratively improving over time. 
• Strong communication skills and a collaborative attitude for working with stakeholders. 

Desired Qualifications  

• Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . 
• Professional experience in healthcare, pharmaceutical, and digital advertising industries. 
• Strong grasp of MLOps practices and software engineering principles. 
• Experience with Snowflake, Airflow, HEX, Cursor, Claude Code. 

What You'll Need to Succeed  

• Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. 
• Highly self-motivated and self-directed. 
• Critical thinking with the ability to identify and scope and solve ambiguous problems in a fast-paced environment. 
• The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.  
• Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders.  
• Enthusiasm for responding to a dynamic range of questions and analytical challenges.   

#LI-ED1 #LI-Hybrid

Who We Are

Pixability is the leading AI-driven technology company that empowers the world’s largest brands and their agencies to maximize the value of their video advertising across YouTube and CTV. Leveraging its proprietary technology platform and data, Pixability reduces wasted impressions on video campaigns by identifying contextually relevant, brand suitable inventory and maximizes cost efficient outcomes. Pixability’s suite of solutions have been used by the top media agencies including Dentsu, Interpublic Group, Omnicom, Publicis, and GroupM, and brands such as KIND, McDonalds, Salesforce and Puma. For more information about Pixability, please visit www.pixability.com.

Our Award-Winning Culture

Our team is the heart of our culture. We value innovation, collaboration, and curiosity with a passion for getting things done. We strive to hire and cultivate the best employees and foster a culture of open communication and transparency. We are driven and hard-working, but also committed to having fun along the way with happy hours, team outings, and flexible paid time off. We’re proud to be in the top 3% of Google Partners worldwide, as well as being listed on the Inc. 5000 for nine consecutive years.consecutive years.

About the Role

We are hiring a Senior Software Engineer to join our team in Boston. This role is ideal for an experienced full-stack or backend-oriented engineer who enjoys building scalable systems, collaborating across product and engineering, and contributing to high-impact platform capabilities.

You will work closely with engineering, product, and data teams to design, build, and maintain services and user-facing functionality that support Pixability’s video advertising optimization platform. This is a hybrid role based in Boston, with an expectation to work from the office on Tuesdays and Thursdays.

Responsibilities

• Build, maintain, and improve backend services, APIs, and platform capabilities.
• Contribute to frontend development where needed, particularly in React-based applications.
• Collaborate with product managers, engineers, and data teams to deliver reliable, scalable features.
• Work with cloud infrastructure, databases, and modern engineering tooling.
• Participate in architecture discussions, design reviews, and technical planning.
• Write unit and integration tests to ensure quality, reliability, and maintainability.
• Help improve engineering practices, code quality, and team delivery processes.
• Support the product and engineering roadmap and contribute to squad-level technical decision-making.

Requirements

• 6+ years of professional software engineering experience.
• Strong backend development experience, preferably with Python.
• Experience with data pipelines or large-scale systems.
• Experience building production web applications, APIs, and distributed systems.
• Frontend familiarity, ideally with React.
• Solid understanding of relational databases such as MySQL and/or Snowflake.
• Experience with AWS or similar cloud environments.
• Familiarity with Docker, Terraform, CI/CD, and modern development workflows.
• Strong software testing practices, including unit and integration testing.
• Ability to work effectively in a collaborative, agile engineering environment.
• Strong communication skills and a self-directed working style.
• Ability to work from the Boston office two days per week, specifically Tuesdays and Thursdays.

Nice to Have

• Experience with ad tech, analytics platforms, or marketing technology.
• Familiarity with AI/ML-powered product development, LLM integrations, recommendation systems, or workflow automation.
• Experience mentoring other engineers or leading technical initiatives.

Pixability does not accept/pay fees for unsolicited resumes from third party agencies/vendors.

The pay range for this role is $140,000 - 165,000 total compensation. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

As part of our dedication to the diversity of our workforce, Pixability is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.

 As part of our dedication to the diversity of our workforce, Pixability is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

GetYourGuide is looking for a Salesforce Developer to join our Go-To-Market tooling team to be the technical developer on our Salesforce platform. This is a high-ownership role focused primarily on integrations between Salesforce and the broader GYG ecosystem & AI-based Applications, and on Salesforce DevOps ( release pipelines, environment management, and code quality).
A smaller portion of the role involves maintaining existing Apex triggers / Invocable actions (where needed).

You will work closely with our GTM Lead & Solutions Architect (who owns end-to-end solution design) and Salesforce Admins (who own flows, configuration, and declarative automation), so you can stay focused on code, integrations, and platform setup.

Your mission

• Build integrations between Salesforce and internal/external systems — REST/SOAP, platform events, middleware, and event-driven sync with our data platform, GTM tools, and AI applications.
• Own Salesforce DevOps — CI/CD (Gearset / GitHub Actions) , source-driven development, sandbox strategy, and release management.
• Maintain and improve existing Apex code and triggers — test coverage, performance, and best practices (governor limits, bulkification, security...).
• Partner with the GTM Solutions Architect to turn solution designs into scalable implementations, flagging technical risks and simpler alternatives early.
• Support Salesforce Admins on the config-vs-code boundary — advising on flows vs. Apex and unblocking work that requires a developer.
• Champion code quality, security, and observability — code reviews, integration health monitoring, and incident response.

Your toolkit

• 4+ years of hands-on Salesforce development (Apex, LWC, SOQL/SOSL, metadata API).
• Strong integration background — REST/SOAP, platform events, or middleware (MuleSoft, Workato, Tray, custom services)
• Salesforce DevOps experience — SFDX, Git-based workflows, and a release management tool ( Gearset or equivalent).
• Comfortable as the sole developer on the platform — sets technical direction, prioritizes pragmatically, collaborates well with a Solutions Architect and admin team.
• Strong communication skills and ability to work directly with non-engineering stakeholders.

Extras that give you an edge

• Working knowledge of Salesforce Sales Cloud is a plus.
• Salesforce certifications (Platform Developer I/II, Application Architect track) are a plus but not required.
• Integrating Salesforce with a modern data platform (Snowflake, BigQuery, dbt, Kafka, Databricks).
• Familiarity with marketplace, supplier, or B2B sales business models.
• Exposure to GDPR / SOC 2 requirements in a Salesforce context.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

About the Role

At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.

As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You’ll Do

• Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
• Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
• Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
• Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
• Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
• Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
• Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
• Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
• A collaborative mindset: comfortable working with both engineers and business stakeholders.
• Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
• Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
• Hands-on experience with DBT (or similar transformation frameworks).
• Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Experience with BI tools (Metabase, Superset, Tableau, etc.).
• Understanding of data quality, governance, and observability practices.
  
  

Nice to Have

• Experience in a federated or data mesh environment.
• Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
• Exposure to analytics in domains like marketing, CRM, or B2B reporting.
• Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Stock options
• Responsibility from day one and professional and personal growth
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow

Interview Process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview (90')
• Manager Interview

About the Role

At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.

As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You’ll Do

• Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
• Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
• Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
• Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
• Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
• Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
• Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
• Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
• A collaborative mindset: comfortable working with both engineers and business stakeholders.
• Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
• Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
• Hands-on experience with DBT (or similar transformation frameworks).
• Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Experience with BI tools (Metabase, Superset, Tableau, etc.).
• Understanding of data quality, governance, and observability practices.
  
  

Nice to Have

• Experience in a federated or data mesh environment.
• Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
• Exposure to analytics in domains like marketing, CRM, or B2B reporting.
• Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Stock options
• Responsibility from day one and professional and personal growth
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow

Interview Process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview (90')
• Manager Interview

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate in an environment that includes Python-based services and APIs, relational databases, data-warehouses, real time databases and SQL, event-driven or distributed systems, cloud infrastructure, containers, CI/CD pipelines, and observability tooling. Depending on the project, you may also work with AI APIs, LLM-based workflows, retrieval patterns, and automation tooling.

Nice to have

• Experience working on internal platforms, operational tools, or product-heavy backend systems.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience with PostgreSQL, Snowflake, Tinybird, Redis, and SQL-heavy applications.
• Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
• Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
• Familiarity with observability and monitoring tooling.
• Exposure to AI-enabled product development, LLM integrations, RAG patterns, or workflow automation.
• Experience working on 0→1 initiatives or undefined problem spaces.
• Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

• You turn ambiguous opportunities into working systems or products that create clear value.
• You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
• You improve not only what gets built, but also how decisions are made.
• You become a trusted technical leader for important cross-functional initiatives.
• You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
• You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

• You are energized by ambitious, messy, high-leverage problems.
• You like operating where priorities evolve and the path is not fully defined.
• You care more about impact than about staying inside a narrowly defined engineering lane.
• You enjoy combining engineering depth, product thinking, and business context.
• You naturally look for the highest-leverage way to move a system, a team, or a product forward.
• You want to play a meaningful role in shaping how the company builds and scales. 

Why join Fever

• You will work on some of the company’s most strategic problems.
• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

About the role

As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.

You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.

What You’ll Do

• Deeply understand Fever’s backend systems and data models, identifying the logic and transformations that connect business processes to data representations.
• Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.
• Develop and optimize ETL/ELT workflows using Python, DBT,  Airflow, and Snowflake, ensuring scalability, maintainability, and reliability.
• Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
• Ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.
• Contribute to the architecture, testing, and observability of our data ecosystem, promoting best practices and automation wherever possible.
• Take ownership from idea to delivery — you’ll scope, design, implement, and ship solutions in close collaboration with cross-functional teams.
• Support the evolution of Fever’s data mesh, helping domain teams design data products that follow common engineering and governance standards.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field.
• Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
• A deep understanding of data modeling and how complex backend systems generate and expose data across products and domains.
• Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds.
• Excellent communication and collaboration skills — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
• You communicate clearly, think in terms of impact, and make technical decisions grounded in business context.
• You thrive in fast-paced environments, adapt quickly to change, and maintain a strong sense of ownership from concept to delivery.
• Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability.

Nice to Have

• Experience with real-time data platforms as Tinybird or Clickhouse
• Exposure to domains like B2B, Marketing, or Partner Reporting.
• Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).

Why Join Us

This is a unique opportunity to join Fever’s Data team at a key moment of growth. You’ll help design and scale the reporting and data delivery layer that connects our platform with thousands of partners worldwide. You’ll work with a modern data stack, collaborate with talented engineers and product teams, and shape how Fever delivers value through data.

You’ll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.

Benefits & Perks

• Flexible schedule
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Responsibility from day one and professional and personal growth
• Great work environment, international team of talented people to work with!
• Health insurance from Day 1.
• English or Spanish Lessons
• Gympass Membership
• Cobee (tax free allowance on restaurants and transport).
• Possibility to receive in advance part of your salary by Payflow.

Interview process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview I
• Manager Interview

About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our SF office. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

We're looking for an exceptional operator to serve as the Senior Manager, Growth Operations — the engine behind the engine. Our self-serve growth motion has helped GlossGenius scale to 100,000 active subscribers. This role exists to build the systems, processes, and intelligence infrastructure that keep it running faster every month.

You will know the self-serve funnel more deeply than anyone at GlossGenius. You will own the weekly business reviews, run our experimentation operating system, partner with finance on forecasting, partner closely with the GTM Analytics team, and proactively surface the risks and opportunities that keep our growth trajectory on track.

This is not a channel execution role — we have exceptional people running paid social, paid search, and lifecycle. This is the role that makes all of those functions more cohesive, more measurable, and maximally impactful. 

You will report to the VP of Growth Marketing. You must be commutable to our NYC headquarters. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do

• Build and own a real-time intelligence view of GlossGenius's self-serve funnel — every stage, every conversion point, every leverage opportunity — and proactively flag deviations before they show up as misses in the monthly numbers
• Run the weekly business reviews — own the agenda, the data, and the narrative. Translate numbers into decisions, not just updates
• Own the end-to-end experimentation process for the self-serve funnel: what's being tested, by whom, with what hypothesis, and what was learned. Maintain the experiment registry, change log, and learning archive
• Track and report on experimentation velocity and win rate; build systems that make GlossGenius a learning organization, not just a testing one.
• Design and maintain the dashboards and tooling that give channel owners (e.g. paid social, paid search, lifecycle) consistent, granular visibility into their performance — and hold the standard on measurement quality.
• Partner with Strategic Finance to co-own the self-serve financial model assumptions, run scenario analysis, and ensure GTM performance data and financial planning are working from the same reality.
• Continuously monitor competitors and study best practices in PLG, self-serve SaaS, and vertical SaaS growth — surface multiple high-impact intelligence insights per month with a clear recommendation.
• Identify and pursue the highest-leverage operational and analytical opportunities across the self-serve business it evolves

What We’re Looking For

• 7+ years of experience in growth operations, strategy and operations, marketing analytics, or a related function at a fast-growing software or internet business — we care more about the instincts than the exact path.
• Demonstrated track record of building operating systems for growth or marketing teams — dashboards, experiment tracking, business review cadences, forecasting processes — not just executing within them.
• Experience running recurring business reviews with senior leadership where you owned the narrative and drove decisions, not just reported status.
• Direct experience working with finance on forecasting or model assumptions — as a contributor, not a consumer.
• Strong analytical and problem-solving skills — comfortable in SQL or equivalent, fluent in attribution, experimentation design, and business modeling.
• Expert knowledge of AI tools and technologies, with hands-on experience using AI operationally to build faster, analyze faster, and generate insights at a speed that wasn't previously possible — this is a hard requirement, not a nice-to-have.
• Exceptional communication skills — you translate complex data into clear decisions for non-technical audiences and can run a room with senior leadership.
• Systems-first thinking: your instinct when facing a recurring problem is to build a process, not solve it one more time manually.
• Experience in PLG, self-serve SaaS, or vertical SaaS is a plus — understanding funnel economics intuitively accelerates your impact here.

Nice to have:

• Prior people management experience — though first-time managers are welcome if you have led cross-functional projects with real accountability.
• Background in consulting or strategy and operations with a transition into growth or marketing.
• Familiarity with GlossGenius's tech stack: Snowflake, Hex, Iterable, Segment, Eppo.

Benefits & Perks

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially covered by GG
• Fertility and adoption benefits via Carrot and Kindbody
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support
• Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year

The salary for this role is between $180,000-$230,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.

Why this role matters:

We are looking for a Data Scientist who speaks the language of both data and AI - and knows how to make them work together. You will serve as the critical bridge between our Snowflake data platform and the AI-powered systems that drive our marketing and go-to-market motions. Your work will ensure that our data is shaped, structured, and ready to power the next generation of agentic AI applications, enabling autonomous, intelligent systems that act on behalf of our teams and customers.

Your key responsibilities:

• Collaborate closely with the Snowflake engineering team to define, spec, and validate data requirements for models and AI applications
• Serve as the translation layer between data engineering and AI/ML teams, ensuring data is structured, clean, and optimized for downstream use
• Enable and support agentic AI workflows by designing and maintaining the data layers that power agent memory, context retrieval, and tool-use
• Build and maintain data models and transformation logic on top of Snowflake to support predictive and generative AI use cases
• Identify and resolve data quality issues in collaboration with the engineering team
• Partner with marketing science and analytics teams to ensure data assets are accessible and model-ready
• Automate and streamline data validation processes to improve reliability of AI-facing data pipelines

What you'll bring:

• Deep fluency in Snowflake - comfortable living in it daily as a power user, and confident enough to hold technical conversations with Snowflake engineers
• A strong understanding of how data must be structured and governed to reliably power AI and machine learning systems
• The ability to translate business and modeling needs into precise, actionable data requirements for engineering teams
• A collaborative mindset with the ability to operate effectively across data engineering, AI, and marketing science functions
• A proactive, self-starter approach capable of navigating ambiguous data environments and proposing pragmatic solutions

Required:

• 8 years of experience in Data Science or a data engineering-adjacent role
• Advanced proficiency in Python and SQL
• Deep expertise in Snowflake - including data modeling, Snowpark, and advanced querying
• Approximately 2 years of hands-on experience powering agentic AI workflows with data (e.g., RAG pipelines, structured data for LLM tool-calling, agent memory and context layers)
• Familiarity with vector databases or embedding-based retrieval systems (e.g., Pinecone, Weaviate, pgvector)
• Experience collaborating with or working closely alongside data engineering teams
• Familiarity with cloud data platforms (AWS, GCP, or Azure)

Tools & Technologies:

• Snowflake - Snowpark, dynamic tables, advanced SQL querying, data modeling
• Python - pandas, NumPy, SQLAlchemy, Jupyter
• LLM & Agentic AI Frameworks - LangChain, LlamaIndex, AutoGen, or similar
• Vector Databases - Pinecone, Weaviate, pgvector, or Chroma
• Cloud Platforms - AWS (S3, Lambda, SageMaker), GCP (BigQuery, Vertex AI), or Azure equivalents
• Orchestration & Pipeline Tools - dbt, Apache Airflow, or Prefect (as a collaborator/power user)
• Version Control - Git/GitHub or GitLab
• Data Quality & Observability - Monte Carlo, Great Expectations, or similar
• API & Integration Tools - REST APIs, Webhooks, JSON/YAML fluency for connecting data to AI systems

What we consider a plus:

• Experience with orchestration tools such as dbt, Airflow, or similar
• Exposure to marketing data ecosystems (CDP platforms, ad platform data structures)
• Experience in a B2B SaaS environment
• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, or Data Engineering

#LI-JS3

Disclaimer: The posted range represents the good faith salary for this role at the time of posting. Final compensation is determined by factors including (but not limited to) geographic location, relevant experience, specific skill sets, and internal equity.

About AlayaCare

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients. With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We’re looking for a Senior Automation and Integration Developer to join our Customer Success organization and play a key role in how our customers integrate with and unlock value from AlayaCare. Reporting to the Director, Data Engineering & Automation, the Senior Automation and Integration Developer is a hands-on technical role responsible for building complex customer integrations and data solutions. This role will work across Python services, AWS infrastructure, data pipelines and SQL exports — while also engaging directly with customers to scope and troubleshoot solutions. You will be building patterns and reusable components as part of these integrations.

What You’ll Do

In this role, you will:

• Design, build, and maintain Python-based services, orchestration, and internal tooling that power customer integrations and data workflows.

• Develop reusable patterns and components for customer integrations, including elements that power and integrate with visual workflow builders.

• Integrate customer data using Python and/or visual workflow builders, and deliver ad-hoc and recurring data exports using scalable patterns in SQL and Python.

• Design, build, and optimize ETL/ELT pipelines, and manage supporting AWS infrastructure (Lambda, API Gateway) and Postgres from initial buildout through ongoing maintenance.

• Debug and troubleshoot issues across development, UAT, and production environments, investigating anomalies from database changes, automation triggers, and upstream integrations.

• Validate and test data exports for accuracy, completeness, and alignment with customer expectations, and help establish automated testing for data pipelines. 

• Create and maintain technical documentation, export specifications, and sample outputs to support both internal teams and customers.

• Work directly with customers to scope technical requirements, troubleshoot issues, translate business and accounting needs into technical solutions, and clearly explain constraints and options.

• Review code, reinforce patterns and standards across the team, and act as a reliable technical point of contact for cross-functional partners.

• Support and coach team members when they are blocked, contributing to a culture of quality, knowledge sharing, and continuous improvement.

What You Bring to the Team

• 4–6 years of experience in software development, data engineering, or a similar technical role.

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

• Strong Python skills (intermediate or above), with experience writing production-grade code.

• Strong SQL skills, including complex queries, optimization, and data modeling.

• Familiarity with data and software design patterns and principles (for example, DRY, star schema).

• Conceptual familiarity with orchestration tools such as Airflow, Prefect, Dagster, or similar technologies.

• Self-directed and comfortable taking ambiguous problems from definition through to resolution.

• Strong analytical and debugging skills, with the ability to trace where data went wrong across complex systems.

• Excellent communication skills, with the ability to translate between technical and non-technical stakeholders and participate confidently in customer-facing technical discussions.

Nice to have:

• Experience with AWS (Lambda, API Gateway, etc).

• Experience with infrastructure as code (Terraform).

• Familiarity with YAML and PHP (used in some legacy code paths).

• Experience with orchestration tools such as Airflow.

• Experience with healthcare integrations or standards such as HL7/FHIR and tools like Iguana or Mirth Connect.

• Experience with analytical databases such as Snowflake or ClickHouse.

• Background in healthcare or SaaS professional services.

• Experience with CI/CD and GitHub-based development workflows.

Location and Work Model

This role is based remotely in the United States. 

Why Join AlayaCare?

Work With Purpose

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.

Grow in a High-Trust Culture

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.

Balance That Works for You

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.

Benefits That Matter

• Equity in a well-funded, scaling company.

• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.

• Parental leave top-up and family support programs.

Inclusive by Design

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.

Ready to Join Us?

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to careers@alayacare.com

#LI-JM1 #LI-Remote

Why this role matters:

We are looking for a Data Scientist to own our demand and revenue intelligence capabilities. You will sit at the intersection of marketing strategy and commercial outcomes, building the predictive models and analytical frameworks that tell us where growth is coming from before it arrives. Your work will directly shape how we reach the right audiences, invest in the right channels, and accelerate pipeline - turning marketing activity into a measurable, forward-looking revenue engine.

Your key responsibilities:

• Build and deploy demand forecasting and pipeline prediction models that project revenue outcomes at the campaign, segment, and market level
• Develop and maintain lead scoring, audience propensity, and opportunity scoring models to sharpen targeting and prioritize sales and marketing effort
• Analyze and model the relationship between marketing investment, channel performance, and revenue outcomes, connecting spend to growth
• Identify high-value market segments and audiences through data modeling to inform how and where we compete
• Develop personalization models and frameworks that enable tailored customer experiences across channels, from dynamic content and offers to next-best-action recommendations
• Own and shape the revenue data ecosystem, ensuring data integrity, influencing how data is captured, and making it model-ready across systems
• Collaborate with Marketing and Sales teams to define forecasting methodologies and embed models into operational workflows
• Translate complex model outputs into clear, actionable narratives that drive strategic decisions at the executive level

What you'll bring:

• Strong understanding of the full B2B revenue funnel - from awareness and demand generation through pipeline to closed revenue - and how data flows across it
• Intuition for how marketing programs, channels, and audiences translate into commercial outcomes
• Strong business acumen with the ability to connect predictive model outputs to strategic marketing and revenue decisions
• The ability to influence RevOps, Sales, and Marketing stakeholders through data-led storytelling
• A rigorous yet pragmatic approach to forecasting - knowing when to build a sophisticated model and when a well-structured regression is enough
• A proven self-starter comfortable operating in fast-moving, commercially-driven environments

Required:

• 8 years of experience in Data Science, Revenue Analytics, or a related field
• Proven experience building predictive and demand forecasting models tied to revenue outcomes
• Strong understanding of CRM data ecosystems and how marketing and sales data interconnects - Salesforce experience strongly preferred
• Strong proficiency in Python and SQL
• Experience modeling pipeline generation, conversion rates, and revenue velocity across the full funnel
• Proficiency with data visualization tools (Tableau, Power BI, or similar)

Tools & Technologies:

• Salesforce - full object model (Leads, Contacts, Accounts, Opportunities, Campaigns), SOQL, Salesforce administration, Salesforce Einstein Analytics / Tableau CRM
• Python - scikit-learn, statsmodels, Prophet, pandas, NumPy for forecasting and modeling
• SQL - advanced querying across CRM and marketing data sources
• Data Visualization - Tableau, Power BI, Salesforce-native dashboarding
• Marketing Automation Platforms - Marketo, HubSpot, or Pardot (data structure familiarity)
• Cloud Data Platforms - Snowflake, AWS, GCP, or Azure for data extraction and model deployment
• Version Control - Git/GitHub or GitLab
• Spreadsheet & Presentation Tools - Excel, Google Sheets for stakeholder-facing outputs

What we consider a plus:

• Experience with customer lifetime value (LTV) modeling and churn prediction
• Familiarity with marketing automation platforms and how they feed into Salesforce (e.g., Marketo, HubSpot)
• Experience with lead-to-revenue funnel analytics in a B2B SaaS environment
• Working knowledge of digital marketing platforms and their underlying data structures
• Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Economics, or Computer Science

#LI-JS3

Disclaimer: The posted range represents the good faith salary for this role at the time of posting. Final compensation is determined by factors including (but not limited to) geographic location, relevant experience, specific skill sets, and internal equity.

Overview

We're seeking a Principal Engineer to establish data architecture excellence across our engineering organization. As we transition to autonomous, stream-aligned teams, we need a hands-on data expert who can enable application teams to make sound data decisions independently.

This role works side-by-side with application engineers, not in isolation. Your peers will be full-stack and backend engineers building products. You need to understand application architecture, API design, and deployment practices - and bring deep data expertise to that context.

What You'll Do

• Work directly with application teams on data architecture for their applications and services
• Design and review data architectures and models, aligning data ownership with team domain boundaries
• Review application code and architecture with focus on data access patterns and performance
• Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses)
• Optimize database performance: query tuning, indexing, execution plan analysis, resource management
• Guide technology selection based on read/write patterns, data volumes, and access patterns
• Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies
• Establish data replication and syndication strategies (CDC, event streaming, batch processing)
• Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns)
• Lead zero-downtime data migrations and infrastructure modernization
• Hands-on troubleshooting and optimization of critical data systems
• Establish data quality, monitoring, and observability standards
• Lead knowledge sharing through workshops, documentation, and office hours

Required Qualifications

• 10+ years building software applications with heavy focus on data systems
• Strong application development background (full-stack, backend, or data-intensive applications)
• Deep expertise in NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server)
• Proven experience optimizing database performance at scale (query tuning, indexing, resource management)
• Strong data modeling and schema design skills
• Understanding of application architecture, API design, and software development practices
• Deep experience with cloud data platforms (AWS, Azure, or GCP) including cost optimization
• Experience with AI/LLM-assisted development tools and agentic software engineering practices
• Track record of establishing data standards across engineering organizations
• Excellent communication skills - able to influence and educate engineers at all levels

Preferred Qualifications

• Experience as a full-stack or backend engineer with deep data focus
• Proficiency in Python, Java, JavaScript/TypeScript, or C#
• AWS data services (RDS, Aurora, Redshift), Snowflake, or modern data warehouses
• Advanced data modeling (temporal models, event sourcing, complex domain modeling)
• Healthcare or EDI domain knowledge
• Experience with event-driven architectures and change data capture
• ETL/ELT tools and data pipeline orchestration
• Prior Principal/Staff Engineer experience

What We're Looking For

You come from an application development background and understand how data fits into the broader application architecture. You're hands-on and take ownership - you can architect complex data systems and roll up your sleeves to optimize them. You succeed by making others successful - you educate and empower rather than gatekeep. You speak the language of application engineers and can review their code, understand their challenges, and guide them to better data solutions. You understand trade-offs, know when to optimize for speed vs. perfection, and can influence without authority. You've run data systems in production at scale and understand what it takes to keep them performant and reliable.

Why This Role Matters

GHX Engineering is transforming toward autonomous, stream-aligned teams with independent deployment capabilities. This role is central to that vision - establishing data architecture excellence that enables teams to move fast without creating future problems. You'll define data strategy for a growing engineering organization in healthcare technology, working directly with engineering leadership on this transformation.

Estimated Salary Range for this position: $150,000 to $214,000 plus bonus

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

  #LI-SR

See yourself at Twilio

Join the team as Twilio’s next Supportability Engineer 3.

About the job

This position is needed to embed customer-centricity into the product development lifecycle and eliminate friction before it reaches the user. As a Supportability Engineer, you will sit at the critical intersection of Customer Experience and R&D, serving as the technical voice of the customer. You will go beyond standard readiness; you will advocate for the customer during the design phase to prevent issues before they occur. By analyzing data and collaborating with engineering, you will influence product roadmaps, drive seamless launches, and design excellence into our products to minimize the need for reactive support.

Responsibilities

In this role, you’ll:

• Embed customer supportability requirements into the earliest stages of the Product Development Lifecycle (PDLC) by participating in design reviews and technical planning with R&D.
• Analyze support data and customer feedback to construct evidence-based business cases that influence R&D to prioritize certain improvements.
• Provide specifications for proactive product features (such as clearer error messages and diagnostic tools) to reduce friction and deflect potential support tickets.
• Orchestrate the Global Ops readiness strategy for new features, ensuring Frontline Support and Ops teams are equipped with the necessary training, documentation, and tooling prior to launch.
• Collaborate with R&D to translate complex customer use cases into actionable requirements that ensure long-term product health.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Twilio product experience is a must.
• 5+ years of experience in Technical Support, Product Operations, Technical Account Management, or Engineering, with a specific focus on complex technical products (APIs, SaaS, or Telecommunications).
• Experience working within the technology industry (Including APIs and VOIP) in either a development or support capacity. Familiarity with customer or consumer trust application(s) and systems preferred.
• Proven analytical skills with experience using data tools (such as Splunk, DataDog, Snowflake, SQL, or Tableau) to derive actionable insights from customer feedback and support trends.
• Excellent communication and influence skills, with the ability to advocate for customer needs to technical stakeholders and negotiate prioritization of supportability features.

Desired:

• Experience with project management methodologies or experience managing programs/product launches
• Proficiency in a scripting or programming language (Python, Java, Node.js) to better understand the developer experience.
• Knowledge of Design Thinking or User Experience (UX) principles to identify friction points in customer journeys.

Location

This role will be remotely based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as Twilio’s next Applications Engineer 2.

About the job

Twilio is looking for a Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape.

Responsibilities

In this role, you’ll:

• Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users.
• Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model.
• Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders.
• Review and assure quality in all code entering our codebase.
• Continually evaluate and refactor our existing codebase for increased extensibility.
• Ability to learn new technologies depending on project requirements.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

[CANDIDATES MUST MEET ALL REQUIRED QUALIFICATIONS IN THE JOB DESCRIPTION. IF ANY OF THESE QUALIFICATIONS CHANGE DURING THE HIRING PROCESS, THE JD MUST BE REVISED TO REFLECT THE NEW REQUIREMENTS]

*Required:

• 3+ years experience with Apex, LWC, SOQL, Javascript with Agile development practices
• Experience in Conga/Apttus CPQ or CLM.
• Knowledge on Force.com coding standard methodologies and experience in Salesforce Lightning Design System
• Experience in identifying common blind spots and bugs in Salesforce and working with and optimizing millions of rows of data
• Experience with Agile development practices
• Experience in CSS, HTML, jQuery, SOQL
• Experience in GIT or SVN
• Ability to translate technical requirements into independent features for development and experience on debugging and troubleshooting 
• Comprehensive experience on debugging and troubleshooting in Salesforce
• Experience in identifying common blind spots and bugs in Salesforce
• Experience in working with and optimizing millions of rows of data
• Proficiency in developing unit tests with assertions for core functionality

Desired:

• Experience in AgentForce, Einstein, AI tools/technologies
• Experience in SQL, Python, Data Cloud, Snowflake
• Familiarity working with a Pay-as-you-go business model
• Experience developing and deploying through Heroku

Location

This role will be remotely in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

We are seeking a dynamic and experienced  Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: France, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Excellent written and verbal communication skills in English and French.

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Competitive knowledge is a big plus

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

See yourself at Twilio

Join the team as Twilio’s next Senior Sales System Engineer ( Application Engineer 3 )

About the job

Twilio is looking for a Senior Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. 

You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data,  and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions.

Responsibilities

In this role, you’ll:

• Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users.
• Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model.
• Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders.
• Review and assure quality in all code entering our codebase.
• Continually evaluate and refactor our existing codebase for increased extensibility.
• Architect and implement solutions specifically designed to stay within Salesforce multi-tenant constraints (e.g., Heap Size, CPU timeouts, and SOQL limits).
• Ability to learn new technologies depending on project requirements.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 4-6 years of experience building and maintaining Salesforce environments supporting enterprise-scale systems.
• Must have hands-on experience building Lightning Web Components, Apex,SOQL GitHub, and other CI/CD tools within Salesforce.
• Solid understanding of Salesforce integration patterns (REST/SOAP APIs, platform events, asynchronous processing)
• Strong experience designing Salesforce data models for complex workflows and integrations
• Experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate the development of Apex code, Flows, and Salesforce metadata while maintaining code quality and best practices
• Debug issues, troubleshoot errors, and help maintain existing Salesforce solutions for performance and reliability
• Collaborate with team members, business analysts, and stakeholders to understand requirements and implement solutions
• Stay updated with Salesforce features, tools, and releases while continuously improving technical and problem-solving skills.
• Proficiency in developing unit tests with assertions for core functionality

Desired:

• ​​Platform Developer 1 and ​​Platform Developer 2 certification 
• Experience in SQL, Python, Data Cloud, Snowflake
• Hands-on experience with MuleSoft/Informatica or similar middleware
• Experience developing and deploying through Heroku.
• Experience with Agentforce (AI bots, agent assistance, automated routing and classification) Einstein, AI tools/technologies , Tray.io

Location

This role will be based remotely in British Colombia, Alberta, or Ontario Canada

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The estimated pay ranges for this role are as follows:

• CAD $109,600 - $137,000

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

See yourself at Twilio

Join the team as Twilio’s next Applications Engineer 2 (Business Title: Sales System Engineer 2)

About the job

Twilio is looking for a Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. 

You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data,  and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions.

Responsibilities

In this role, you’ll:

• Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users.
• Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model.
• Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders.
• Review and assure quality in all code entering our codebase.
• Continually evaluate and refactor our existing codebase for increased extensibility.
• Ability to learn new technologies depending on project requirements.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3+ years experience with Apex, LWC, SOQL, Javascript with Agile development practices
• Knowledge on Force.com coding standard methodologies and experience in Salesforce Lightning Design System
• Experience in identifying common blind spots and bugs in Salesforce and working with and optimizing millions of rows of data
• Experience with Agile development practices
• Experience in CSS, HTML, jQuery, SOQL
• Experience in GIT or SVN
• Ability to translate technical requirements into independent features for development and experience on debugging and troubleshooting 
• Comprehensive experience on debugging and troubleshooting in Salesforce
• Experience in identifying common blind spots and bugs in Salesforce
• Experience in working with and optimizing millions of rows of data
• Proficiency in developing unit tests with assertions for core functionality

Desired:

• Experience in AgentForce, Einstein, AI tools/technologies
• Experience in SQL, Python, Data Cloud, Snowflake
• Familiarity working with a Pay-as-you-go business model
• Experience developing and deploying through Heroku
• Experience in Conga/Apttus CPQ or CLM.

Location

This role will be remote, and based in India .

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

About the role

We’re seeking a Senior Finance Manager, Payments to own the Cost of Revenue function at Chime! In this role, you will play a critical part in ensuring forecasting accuracy while driving forward high-impact strategic and financial initiatives. You’ll partner closely with business leaders and finance team members to provide insights, influence decision-making, and help shape Chime’s financial strategy.

As the leader of the Cost of Revenue function at Chime, you will own the strategy, execution, and continuous improvement of COR forecasting and financial operations. You will build and lead a high-performing team, setting the vision for how we think about cost structure and the tradeoffs between revenue growth and cost efficiency across the business.

You will serve as a trusted strategic partner to senior leaders across Product, Banking Partnerships, Data, Engineering, and Accounting going beyond forecast accuracy to shape how Chime evaluates the financial viability and economics of new product launches, features, and initiatives. You'll instill frameworks that help cross-functional partners understand cost implications early in the decision-making process, ensuring financial rigor is embedded in how we build and scale.

You will lead coverage of key COR areas including processing, network, and bank-related costs, bringing a deep understanding of the drivers including transaction volume, pricing dynamics, vendor relationships, and product evolution that influence our cost structure. In this capacity, you will also play an active role in vendor contract negotiations and renewals, partnering with Legal, Procurement, and business stakeholders to optimize terms and drive cost efficiency at scale.

You will oversee the monthly close process in partnership with Accounting, ensuring the integrity of actuals, variance explanations, and financial reporting across all COR categories. Beyond the close, you will drive the bottoms-up planning process and establish scalable, repeatable forecasting frameworks — leveraging AI and automation to enhance precision, reduce manual effort, and position the team to operate effectively as Chime grows.

The base salary offered for this role and level of experience will begin at $173,000 and up to $240,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Lead and evolve the COR forecasting function, setting the strategic direction for how we incorporate key drivers such as transaction volumes, pricing dynamics, vendor changes, and product evolution into our financial models
• Own the development and continuous improvement of Cost of Revenue reporting and dashboards, ensuring senior business and finance leaders have timely, accurate visibility into vendor costs, transaction drivers, and overall COR performance
• Act as a senior cross-functional partner to leaders across Product, Data, Engineering, and Accounting, driving financial accountability and influencing key decisions with rigorous analysis and clear cost frameworks
• Lead the monthly close process in partnership with Accounting, owning variance explanations, performance narratives, and financial accuracy across all COR categories
• Champion the adoption of AI and automation across the COR function, identifying and deploying scalable solutions that improve data quality, forecasting precision, and reporting efficiency to support Chime's growth
• Drive strategic initiatives and ad hoc analyses across COR, identifying optimization opportunities and translating findings into actionable recommendations for senior leadership

To thrive in this role, you have

• Minimum 8+ years of Finance/FP&A, investment banking, Big 4 accounting/advisory, or consulting experience
• Bachelor's Degree, or equivalent degree in Finance, Accounting, Economics or other relevant field
• Proven experience leading and developing high-performing finance teams, with the ability to set vision, coach talent, and drive accountability
• Track record of owning end-to-end budgeting, forecasting, and financial modeling with a strong emphasis on accuracy, scalability, and business impact
• Demonstrated ability to influence senior stakeholders and drive cross-functional alignment on complex financial and strategic decisions
• Strong process-improvement mindset with demonstrated ability to leverage AI and automation to scale finance workflows and improve forecasting precision and turnaround time
• Experience identifying, designing, or deploying AI-driven use cases within finance workflows such as forecasting automation, reporting acceleration, variance analysis, or scenario modeling
• Advanced G-Suite, Microsoft Excel, Word, and presentation tools (PowerPoint, G-Slides) skills required
• Bonus Experience: Pigment, Netsuite, Looker, Workday, SQL, Snowflake, Python/coding tools, and direct experience with Cost of Revenue, transaction economics, or vendor contract management

#LI-BE1#LI-Hybrid

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

Interested in building data solutions for top-tier companies? Join our Talent Community and stay on our radar for future opportunities.

⚠️ This is not an active opening. By applying, you'll be considered when a suitable role becomes available.

🔍 About You

You bring experience with:

• ETL/ELT workflows (Airflow, Glue, ADF, DBT, etc.)
• Python, SQL, Spark
• Cloud data stacks: AWS, Azure, or GCP
• Data warehousing (Snowflake, Redshift, BigQuery, Synapse)

🌎 What We Look For

• Experience designing or optimizing data pipelines
• Strong software engineering fundamentals
• Ability to collaborate with Data Science and Product teams
• Excellent English and remote communication skills

Does our work culture resonate with you?

• 100% remote
• People-first culture
• Excellent compensation in US Dollars
• Hardware setup for working from home
• Work with global teams and prominent brands in North America, Europe, and Asia
• Training allowances
• Personal time off (PTO) for vacation, study leave, personal time, etc.
• ...and more!

Then apply now!

✨ Join our LATAM Talent Pool and we’ll reach out when the right project goes live.

What You’ll Do:

The Data Services Team builds and operates the data platform that powers CoreWeave's AI cloud, from transactional and analytical storage to streaming, metadata, and governance. We give our customers and CoreWeave engineers the primitives they need to ingest, store, process, and serve data at the scale and performance that next-generation AI workloads demand.

If you want to define how data flows across a rapidly scaling AI cloud, and turn that strategy into infrastructure others depend on, this is your team.

About the role:

As a Staff Product Manager for Data Services, you'll own the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio: databases, data lakes, streaming, metadata and catalog, and data sharing and integration.

You'll shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 toN. That means working directly with strategic customers and partners, collaborating closely with engineering and GTM, evaluating emerging data technologies, and ensuring our services are secure, reliable, and easy to adopt.

The hardest problems you'll tackle are around scale, throughput, and performance for GPU-intensive applications, and you'll have real influence over the architecture to solve them.

In this role, you will own:

• Product strategy and roadmap across the data services portfolio, balancing near-term delivery with long-term bets
• Customer and partner engagement - diving deep into data architectures, co-designing solutions, and supporting large-scale deployments
• Cross-functional alignment with engineering, GTM, and leadership to drive clarity and execution in a fast-moving environment
• Market and competitive analysis to surface opportunities, validate priorities, and keep us ahead of the curve
• API-first platform thinking - partnering with architects on service designs, SLAs, and operational excellence

Who You Are: 

• 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure, with at least 3-4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms)
• Technical fluency in:
• Relational and/or distributed databases (e.g., PostgreSQL, MySQL, SingleStore, Snowflake, BigQuery)
• Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, real-time data sharing)
• Data security and governance (encryption, IAM/RBAC, data masking, network isolation, compliance)
• A track record of owning complex, API-first platform products from concept through multiple release cycles
• Strong communication skills - able to create clarity from ambiguity, influence without authority, and translate technical depth for any audience
• Comfort operating in a fast-paced, high-growth environment where the answer isn't always obvious

Preferred:

• Staff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure company
• Hands-on experience with managed data services on AWS, Azure, or GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)
• Background in hybrid or multi-cloud architectures: connectivity, data locality, replication
• Experience with AI/ML data products: feature stores, vector search, real-time analytics, or serving pipelines for LLM workloads
• Familiarity with SaaS/PaaS packaging and usage-based or tiered pricing models
• Prior engineering or architecture experience on data or distributed systems

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• Love building platforms that other teams and customers treat as critical infrastructure
• Are curious about new databases, analytics, and AI data patterns, and are good at separating real value from hype
• Can drive clarity in highly technical, ambiguous problem spaces and rally cross-functional teams around a plan
• Enjoy going deep with customers on their data architectures and co-designing solutions
• Balance long-term vision with fast iteration, and you don't need perfect information to move forward

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Team:

AlphaSense’s Content Operations Strategy and Enablement (COSE) team is responsible for establishing the strategy and infrastructure to drive sustainable and scalable growth for our Expert Calls and Compliance Operations organizations. We work closely with client-facing and cross-functional teams to drive impact across AlphaSense’s Expert Insights organization. Our team is organized into the following pillars:

• Systems Strategy: drives operational excellence through the strategic deployment of technology solutions, advanced analytics, and cross-functional collaboration with Vendor, Data, and Product partners
• Enablement: supports our teams to do their best work through employee training, communications, and knowledge management
• Strategy & Planning: steers the organization towards growth through quarterly / annual planning, account strategy, performance management, and operational strategy initiatives
• Compliance Programs: leverages systems, technology, and data to support compliance teams and processes
• Business Operations & Strategy: identifies and executes top-line growth and bottom-line optimization initiatives

About the Role: 

As the Manager, Systems Strategy, you'll own the operational infrastructure behind the Expert Insights team. You'll lead systems strategy, evaluate and manage the vendor tool stack, and drive initiatives that improve speed, quality, and cost-effectiveness across the business. This role sits at the intersection of strategy, technology, and operations. You'll partner closely with Product, Engineering, IT, Legal, and leadership to identify smarter tools, automate key processes, and build the roadmap for how work gets done. You'll also manage a team of two Associates and serve as the go-to partner for cross-functional teams on all things systems and tooling. This is a high-impact, execution-oriented role for someone who's curious, data-driven, and energized by turning ambiguity into clarity.

Who You Are:

• 4+ years driving operational excellence in business operations, internal strategy, and/or enablement or related high-impact roles; experience leading teams or large cross-functional initiatives
• Track record of partnering with Product, Engineering, IT, and Legal to design and implement tools and processes
• Experience managing budgets, optimizing vendor costs, and negotiating contracts
• Experienced in systems strategy, roadmapping, implementation, and architecture design
• Strong communicator with change management experience; able to translate complex topics for cross-functional audiences
• Experience with Data/BI Tools (Excel, Tableau, Snowflake), No-Code Tools (Zapier, Make), and Sales Engagement tools (Salesforce, Simon Data, Gong, Mixmax, etc)
• Demonstrated ability to operate at both a strategic and executional level; comfortable doing the work and shaping the direction
• Has grown within or across roles, taking on increasing scope and ownership over time
• Brings a leadership presence; can influence and align stakeholders without direct authority
• Curious, data-driven, and adaptable; comfortable with ambiguity in a fast-paced environment

What You’ll Do: 

• Build and execute the strategy for Expert Insights systems and internal tooling
• Manage and own relationships with cross-functional groups such as IT, Procurement, Accounting, Engineering and Product, serving as an advocate for Expert Insight users
• Lead high-impact optimization initiatives by identifying and executing automation opportunities that reduce costs and unlock operational efficiency at scale
• Build and document systems and processes with scalability and knowledge transfer in mind
• Own the Expert Insights vendor tool stack end to end, running procurement, budgeting, cost management, and system administration activities
• Support and contribute to team and org-wide strategic planning cycles
• Own the operational health of a 400+ person organization; setting the standard for how support functions run, scale, and improve over time
• Lead and manage a team of two Associates

Total Cash Compensation Range: $135,700 - $174,000 (Base: $115,000 - $145,000 + 18% - 20% Bonus).

About the Role

We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Pharmacy, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.

The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.

Your day to day

Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:

• Perform data profiling analysis.
• Use SQL, data modeling and data integrity principles.
• Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
• Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
• Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
• Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
• Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
• Work with client management teams to provide support and data model expertise during client implementation.

What you bring to the team

• 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
• Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
• Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
• Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium, Pharmacy) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
• Experience with schema evolution, lossless data modeling, and data versioning strategies.
• Strong background in SQL, data profiling, and metadata creation and maintenance.
• Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
• Excellent collaboration skills to work with data architects, engineers, and client implementation teams.

What we would like to see, but not required

• Healthcare reporting experience.
• Experience with OBT, data lakehouse, and metadata management frameworks.
• Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
• Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
• Experience with data governance, security, and regulatory compliance in healthcare data management.
• NoSQL data model experience.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 1pm-10pm IST

About the role 

At Everway, we're building AI capabilities that serve 250M+ users and transform how 1,500+ employees work. We're looking for a Senior AI Engineer to be the founding engineer for AI Enablement — building MCP infrastructure, agentic workflows, and driving AI adoption across the business. 

This is a founding role with significant growth potential. You'll be the engineer who builds the core infrastructure that connects AI agents to our internal systems. You'll ship production solutions and contribute to the roadmap as the function evolves. As we scale, you'll have the opportunity to grow into a leadership position and help build a team. 

You'll build MCP servers that securely connect LLMs to Salesforce, Snowflake, Google Workspace, and internal tools. You'll develop agentic workflows that automate business processes across sales, marketing, customer success, and operations. And you'll work directly with stakeholders across the organisation to understand requirements and deliver working solutions. 

We've already demonstrated strong traction: 400+ weekly active AI users, tools delivering measurable ROI, and executive support for ambitious next steps. You'll join at the right moment to take on a critical growth area and make it your own. 

Main Responsibilities 

• MCP Development: Build and maintain Model Context Protocol servers that securely connect LLMs to enterprise systems (Salesforce, HubSpot, Snowflake, Google Workspace, internal APIs) 
• Agentic Workflow Development: Develop and ship production-grade agentic workflows with appropriate orchestration, guardrails, and observability 
• Systems Integration: Build robust, secure integrations between AI systems and enterprise tools, handling authentication, rate limiting, and data governance requirements ● Stakeholder Collaboration: Work with teams across Sales, Marketing, Operations, and Customer Success to understand automation needs and deliver solutions
• Technical Documentation: Create documentation and reusable patterns that enable broader AI adoption across engineering teams 
• Grow with the Function: As we scale, help recruit and mentor team members to expand AI Enablement capabilities 

Essential Criteria 

• BSc in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience) 
• 3+ years of software engineering experience, with meaningful exposure to AI/ML systems in production 
• Hands-on experience with MCP (Model Context Protocol) — you've built MCP servers or have deep familiarity with the architecture and specification 
• Experience building agentic AI systems: multi-step workflows, tool use, orchestration frameworks (LangGraph, CrewAI, or similar) 
• Strong production Python skills — API development, async programming, systems integration 
• Experience integrating with enterprise systems (CRM, data warehouses, productivity tools) via APIs 
• Solid engineering fundamentals: CI/CD, testing, containerisation, cloud deployment (AWS preferred) 
• Comfortable working autonomously and delivering in a fast-moving environment
• Clear communicator — able to work with non-technical stakeholders and translate requirements into working solutions 

Desirable Criteria 

• Experience with multiple LLM providers (OpenAI, Anthropic, AWS Bedrock) 
• Interest in growing into team leadership and mentoring 
• Knowledge of AI governance, data protection, and responsible AI practices 
• Background in internal tooling, platform engineering, or developer experience 
• Experience in EdTech, SaaS, or scaling organisations

Please submit your application by Friday 15th May 2026.

Please note: applications may close early due to high demand, so early submission is encouraged.

About the Role

We're looking for a Regional Sales Leader to help grow our Enterprise East sales team. Reporting to the VP of Enterprise East, you'll be responsible for working with your team of Account Executives, providing feedback, coaching and training to ensure quota attainment and overall account development.  If you’re a builder who thrives in category creation, is passionate about developing empathetic, solutions-oriented and highly impact-driven teams, please apply!

If you join us, we know you’ll make a big impact!  Here’s what we’re thinking:

About You

We are seeking a results-oriented, motivated, and thoughtful sales leader who is laser-focused on recruiting and developing a team that is responsible for capturing net-new business within your assigned territory. On a day-to-day basis, you will be responsible for overseeing our Account Executives and helping them empower our customers to achieve business outcomes.

Qualifications:

• You have 5+ years of software sales leadership experience with at least 2+ years of that leading an Enterprise Sales Segment. 
• You have expert knowledge and experience in building and motivating sales teams, growing pipeline, and hitting revenue targets.
• Process oriented and data driven approach to managing forecasts in tools like Salesforce while scaling repeatable sales processes like MEDDPICC and Command of the Message
• You have consistent achievement of sales goals with high seller participation.
• You are a talent magnet! In this role, you will be asked to be on the constant lookout for the best talent to bring onboard to help us continue to build one of the best companies in the world.
• You have the curiosity to learn technical concepts and articulate them in a way that highlights business value to senior or executive stakeholders.
• Track record of developing deep relationships with key partners that align with our strategy to grow
• High sense of urgency and ownership along with empathy and compassion in your leadership style

Responsibilities:

• Consistently help your team meet or exceed quota
• Be considered a top-performing team leader by consistently exceeding team goals
• Cultivate a team of Account Executives that see consistent month-over-month success
• Serve as a mentor, leader, or coach to other new peers of the team
• Provide feedback to the executive team on a regular basis and help them steer the company in the right direction.
• Serve as an active member of the sales leadership team and build strong, collaborative relationships through the Sales, Marketing, Partnerships, Customer Success, Revenue Operations, and Legal teams
•  Work closely with cross-functional teams like SDR and Marketing to drive an account-based marketing strategy

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further,  allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. 

What else? We’re based in San Francisco but have team members all over the world. Our Series D put us at a $2.75B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About The Role

Hightouch is looking for an Enterprise Account Executive located in the Southeast region of the US to join our fast-growing team. As a pivotal part of a small but dynamic sales organization, you will have the opportunity to shape the future of our product offering and contribute directly to our success. This is an exciting opportunity for a driven individual with significant enterprise sales experience, a passion for technology, and a talent for building meaningful relationships with clients.

We’re seeking a self-starter who thrives in a fast-paced environment, has a strong track record in sales, and is eager to take the next step in their career with a rapidly scaling startup. The ideal candidate will possess a blend of sales expertise, entrepreneurial spirit, and a commitment to continuous learning.

What We're Looking For:

• Experience building and managing a pipeline of high-value enterprise accounts.
• Experience driving both outbound prospecting efforts and land-and-expand strategies to develop long-term client relationships.
• Ability to conduct discovery calls, understand client needs, and deliver tailored solutions that drive measurable business outcomes.
• Collaboration with cross-functional teams (Sales, Marketing, Product) to deliver a seamless customer experience.
• Someone who consistently meet or exceed sales targets and KPIs, while maintaining a high level of professionalism and customer-centricity.
• Excellent verbal and written communication.
• Ability to adapt to an ever-changing work environment and operate with a sense of urgency.

Bonus Points If You Have:

• A deep understanding of the martech and/or data ecosystem and how businesses use these technologies to drive growth.

The salary range for this position is $300,000 OTE (50/50 split) per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further,  allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. 

What else? We’re based in San Francisco but have team members all over the world. Our Series D put us at a $2.75B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About The Role

Hightouch is looking for an Enterprise Account Executive located in the northeast region of the US (Boston, New York, Chicago, Toronto, Montreal, or Ohio) to join our fast-growing team. As a pivotal part of a small but dynamic sales organization, you will have the opportunity to shape the future of our product offering and contribute directly to our success. This is an exciting opportunity for a driven individual with significant enterprise sales experience, a passion for technology, and a talent for building meaningful relationships with clients.

We’re seeking a self-starter who thrives in a fast-paced environment, has a strong track record in sales, and is eager to take the next step in their career with a rapidly scaling startup. The ideal candidate will possess a blend of sales expertise, entrepreneurial spirit, and a commitment to continuous learning.

What We're Looking For:

• Experience building and managing a pipeline of high-value enterprise accounts.
• Experience driving both outbound prospecting efforts and land-and-expand strategies to develop long-term client relationships.
• Ability to conduct discovery calls, understand client needs, and deliver tailored solutions that drive measurable business outcomes.
• Collaboration with cross-functional teams (Sales, Marketing, Product) to deliver a seamless customer experience.
• Someone who consistently meet or exceed sales targets and KPIs, while maintaining a high level of professionalism and customer-centricity.
• Excellent verbal and written communication.
• Ability to adapt to an ever-changing work environment and operate with a sense of urgency.

Bonus Points If You Have:

• A deep understanding of the martech and/or data ecosystem and how businesses use these technologies to drive growth.

The salary range for this position is $300,000 OTE (50/50 split) per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Number Operations Analyst 

Vonage Business Operations Mission

We enable Vonage’s operational scale and reliability through strong governance, data-driven decision-making, and deep functional expertise. Our focus is on building sustainable operations that support global growth and a high-quality customer experience.

Why this role matters

Numbering resources are foundational to our products, customer experience, and regulatory compliance. With licences to operate across multiple countries and partnerships with global carriers, we ensure the right numbers are available in the right locations at the right time — and efficiently managed throughout their lifecycle.

This role consists of managing the number inventory and associated operations (number provisioning and testing, regulatory compliance, Know Your Customer (KYC) processing, all porting aspects, migrations, troubleshooting, optimisation and automation).

What you will do

• Provisioning: Manage end-to-end number provisioning, including complex KYC/identity verification for restricted markets. Process and validate customer orders across all Vonage application businesses, ensuring successful service enablement through testing.
• Line Number Porting (LNP): Execute number porting projects for customers and internally, navigating specific porting complexities and validation rules. Handle port out processing and escalations in adherence to regulatory lead times.
• Inventory Management: In addition to number inventory status maintenance, perform regular cleansing projects of the inventory to increase accuracy, integrity and reduce costs. 
• Regulatory Compliance: With engagement from our regulatory teams, you will support audits from regional bodies and help measure and adapt existing and future service offerings to remain compliant.
• Migrations: When required, scope, analyse and submit back office migration or LNP tasks to consolidate, diversify, improve quality or generate cost savings.
• Troubleshooting: Help solve customer number reachability issues, incorrect spam tagging, debugging SIP signaling or CLID display problems etc, when needed. 
• Optimisation and Automation: Collaborate with internal team members to further streamline, enhance and automate operational tasks.

What you will bring

• Industry Experience: Proven background in Telecoms or CCaaS, specifically handling number provisioning and/or LNP.
• Technical Awareness: Familiarity with SIP, VoIP, and legacy PSTN nuances.
• Tooling: Advanced Excel skills (large datasets), experience with ticketing/CRM systems (e.g. Jira, Zendesk, Salesforce), and familiarity with data tools such as SQL, Snowflake, or Kibana.

Soft Skills: 

• High attention to detail, particularly in data and document handling
• Strong analytical and problem-solving skills
• Self-motivated with excellent time management and ability to manage competing priorities
• Comfortable working independently and managing operational queues
• Confident communicator across cross-functional teams
• Fluent English

#LI-MB2

The Product:

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

Behind every search request is a rich stream of signals - query patterns, retrieval decisions, crawling outcomes, ranking quality, usage and revenue events. Turning that stream into a trustworthy, queryable data platform is what makes the product improvable, the business measurable, and the models trainable.

The Role:

We are looking for a Data Engineering Team Lead to lead our data platform - both the data behind our search quality and ML pipelines, and the analytics that drive product and business decisions.

In this role, you will lead a team of data engineers and own the end-to-end data lifecycle: ingestion from production services, helping model and architect our data warehouse, and exposing clean, well-documented data to researchers, engineers, and analysts across the company.

The platform spans tens of terabytes and ingests from tens of proprietary and third-party sources - our own search engine and its components, CRM, billing, identity, and product analytics across multi-region production environments. Around 100 internal users rely on it daily.

You will lead our data platform, hire and grow the team, and stay hands-on enough to design and review the systems your team ships.

In this position, your responsibility will be to:

• Lead and architect Tavily's data platform - from real-time ingestion through data warehouse medallion layers to consumer-facing datasets and dashboards

• Lead, hire, mentor, and grow a team of data engineers; set engineering standards for code quality, testing, documentation, and on-call

• Work closely with engineers across the company to make sure batch and streaming pipelines are done correctly

• Define and implement observability for the data platform: data quality checks, freshness monitors, lineage, schema evolution, and cost controls

• Partner with researchers, engineers , analysts, finance, and product managers to deliver trustworthy datasets for product & gtm analytics.

• Define the objects, entities, and relationships that model Tavily's search domain - agent inputs, URLs, chunks, agent sessions, crawls, and the connections between them - and turn that mental model into a clean, queryable data model that the rest of the company can reason about.

• Data Governance: Can ensure the highest standards of data quality, integrity, and security across all environments.

You may be a good fit if you:

• 5+ years of Data Engineering experience, with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake).

• Have hands-on experience with Snowflake (or a comparable cloud data warehouse) and a strong grasp of data warehouse architecture preferably medallion schema.

• Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.

• Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).

• Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub).

• Have hands-on experience with the Spark / MapReduce paradigm and understand when distributed processing is the right tool

• Are fluent in Python and SQL for production data work

• Have operated data systems in production: debugged them under pressure, recovered from data incidents, and understand what it means to backfill a corrupted table.

Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

What We Need

The Data Quality Engineer  is a subject matter expert responsible for ensuring the reliability, accuracy, and integrity of data across the 2K gaming platform. This role involves designing and maintaining sophisticated systems to validate game telemetry, player data, and analytics pipelines. As a senior-level individual contributor, you will drive the technical direction for data quality standards, helping cross-functional teams make confident, data-driven decisions regarding gameplay, performance, and the player experience.

 What You Will Do

• Develop and maintain advanced automated data quality checks for game telemetry, player events, and backend systems.
• Monitor complex data pipelines for anomalies, schema changes, and integrity issues, ensuring high availability and reliability.
• Define, document, and enforce global data quality standards, validation rules, and SLAs across the data ecosystem.
• Lead collaboration with engineering teams to ensure accurate and scalable instrumentation of in-game events.
• Investigate and resolve complex data discrepancies, performing deep root-cause analysis to prevent recurrence.
• Build and oversee dashboards and alerting systems to surface data quality issues in real time for stakeholders.
• Partner with analytics and product teams to ensure data sets are optimized and fit for strategic decision-making.
• Map and document data definitions, lineage, and quality expectations to improve organizational data literacy.
• Support technical compliance efforts related to player data privacy and

Who We Think Will Be A Great Fit 

• Problem Solving & Analytical Thinking: Ability to diagnose complex technical issues within large-scale data environments and implement systemic solutions.
• Attention to Detail: A rigorous approach to data accuracy and the ability to identify subtle patterns or anomalies in high-volume datasets.
• Cross-Functional Collaboration: Proven ability to work effectively with both technical engineering teams and non-technical product stakeholders.
• Communication: Skill in translating complex data quality issues into actionable insights and clear technical documentation.
• Proactivity: A self-driven mindset focused on identifying potential risks and improving observability before issues impact the business.

Required Qualifications, Knowledge, and Job-Related Skills

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or equivalent experience).
• Extensive experience in data engineering, data quality, or analytics engineering, typically requiring 5+ years of relevant experience.
• Advanced SQL proficiency and expertise in managing and querying large, complex
• Hands-on experience with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark).
• Deep understanding of data validation frameworks and automated testing
• Proven experience working with high-volume, event-based data such as telemetry, logs, and user activity streams.

Preferred Qualifications

• Experience within the gaming industry or similar high-concurrency, real-time data
• Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo).
• Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake).
• Familiarity with A/B testing frameworks and the nuances of experimentation
• Knowledge of global data privacy regulations (e.g., GDPR, CCPA) and best practices for player data governance.

What we offer you:

• Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Enjoy Life. Our employees’ bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, our Office gaming spaces, game release events, monthly socials, and team challenges.
• Benefits. Benefits include, but are not limited to; Discretionary bonus, Provident fund contributions, 1+5 medical insurance + top up options and access to Practo online Doctor consultation App, Employee assistance program, 3X CTC Life Assurance, 3X CTC Personal accident insurance, childcare services, 20 days holiday + statutory holidays,
• Perks. Gym reimbursement up to INR1150 per month, wellbeing program with the chance to earn up to $93 per annum, charitable giving program, access to learning platforms, employee discount program’s plus free games and events!

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

#LI-Onsite

Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

Position Overview

The Data Platform Engineer is responsible for designing, building, and operating a cloud-native data platform built on Snowflake and public cloud infrastructure. This role owns the full lifecycle of the data platform — from cloud environment provisioning and data lake architecture to transformation pipelines, security enforcement, and data sharing — enabling reliable, governed, and scalable data access across the organization.

Key Responsibilities

• Provision and manage cloud environments including storage, networking, and IAM across public cloud platforms (AWS / GCP / Azure).

• Architect and administer Snowflake as the organization's unified Data Lake and Data Warehouse platform.

• Define and enforce Data Access Policies with encryption, IAM, and Snowflake network policies.

• Build and maintain dbt transformation models with Git-based version control across staging and production data layers.

• Define platform standards, and best practices for data ingestion, transformation, and consumption layers.

Required Skills & Experience

• Hands-on experience with at least one major public cloud platform (AWS, GCP, or Azure), covering storage, networking, and IAM.

• Strong Snowflake administration skills including RBAC design, Data Sharing, external tables, and Snowpark.

• Proficiency in dbt (Core or Cloud) for model development, testing, and documentation.

• Experience with Infrastructure-as-Code tooling such as Terraform for cloud resource provisioning.

• Experience with pipeline orchestration using Snowflake Scheduling, Apache Airflow, or equivalent tools. 

Scope of Ownership

• Responsible for the end-to-end design, provisioning, and operation of the cloud data platform — spanning raw ingestion zones through to curated, analytics-ready data layers — ensuring reliability, scalability, and cost efficiency across all environments.

• Maintains overall responsibility for the unified data warehouse and lake platform architecture, including performance tuning, resource management, cost governance, and the evolution of the platform as organizational data needs grow.

• Owns the transformation layer from design through to production, ensuring data models, testing frameworks, and documentation are accurate, consistent, and fit for consumption across all downstream use cases.

• Drives the definition and adoption of platform-wide standards covering data ingestion, transformation, and consumption patterns, and evaluates tooling and architectural decisions as the platform matures.

#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador  #IT #4 #5 #LI-Hybrid  

FEQ426R280

As the Data Warehousing Product Specialist in the Field Engineering team, you will be defining and driving our technical go to market strategy in the Asia Pacific and Japan region. 

You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact. 

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques and preferably industry domain knowledge. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan
• Develop materials for our GTM team to effectively communicate our value proposition
• Support our field teams in key strategic pursuit opportunities
• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
• Act as the thought leader to build confidence and relationships with our customers at the executive level
• Present externally at conferences, events and webinars and publish content to establish our position in the market
• Work with post sales and partners to establish migration best practices
• Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion

What we look for:

• 10+ years of experience in data warehousing and familiar with modern lakehouse architectures
• Deep technical knowledge of the Data Warehousing Product, e.g. Snowflake, BigQuery, etc.
• Trusted advisor to technical executives that inform strategic data decisions
• Proven track record of successful pre-sales experience in competitive situations
• Ability to define and executive strategic program cross functionally
• High impact communication internally and externally

Job title: Senior Associate – Tableau & Data Integration Specialist

Work Location: India

Division/Department: Corporate Information Technology & Security (CIT&S)

Reports to: Corporate Information Technology & Security Director

Essential Duties and Responsibilities:

We are looking for a Tableau & Data Integration Specialist (Senior Associate) to lead the delivery, governance, and optimization of Tableau dashboards and reporting across the organization. This role will also own the development of Python-based data integrations between Tableau and other platforms, ensuring accurate and actionable insights. The candidate should bring experience with modern data warehousing platform.
Provide expert-level support, troubleshooting, and maintenance for Tableau.

• Design, build, and maintain dashboards and reports that drive actionable business insights.
• Define and enforce Tableau best practices, governance, and standards.
• Develop, test, and support Python-based integration scripts between Tableau and enterprise systems (ERP, CRM, HRIS, data warehouses, etc.).
• Partner with stakeholders to capture reporting requirements and translate them into scalable Tableau solutions.
• Optimize data models, extracts, and dashboard performance for large datasets.
• Assist in IT and analytics roadmap planning, including enhancements and new reporting capabilities.
• Train and mentor internal staff on self-service analytics and Tableau usage.
• Ensure data accuracy and integrity across all integrated systems.

Education and Work Experience Requirements:

• Bachelor’s degree in computer science, Data Science, Business Analytics, or related field.
• Tableau certification (Certified Architect or comparable advanced level) strongly preferred.
• 3–5 years of experience working with Tableau (development, administration, governance).
• Strong proficiency in SQL and Python for integration and automation.
• Knowledge of data modeling and analytics frameworks.
• Experience with at least one modern data warehouse (Snowflake, Redshift, BigQuery, Synapse, etc.) preferred.
• Strong analytical skills with attention to data quality and accuracy.
• Excellent communication and presentation skills for executive and business audiences.

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For New York Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

The Catalog team plays a pivotal role in delivering a seamless eCommerce experience, as it directly shapes how customers discover and purchase products online. 

This role combines senior-level business analysis with strong data engineering expertise. The position focuses on designing scalable data solutions, building and maintaining robust data pipelines, and delivering actionable insights to support business decision-making. The ideal candidate is equally comfortable translating business needs into data requirements and implementing reliable, efficient backend data systems.

What You Will Do

Business Partnership & Solution Design
-Collaborate closely with catalog and cross-functional business teams to translate requirements into data models, pipelines, and dashboards.
-Provide analytical support through ad hoc deep dives to identify drivers of catalog-related issues and opportunities.
-Partner with external teams on special projects to investigate and mitigate business challenges.

Data Engineering & Pipeline Development
-Design, build, and maintain scalable ETL/ELT pipelines and data lake architecture.
-Develop new data ingestion pipelines, including integrating external/vendor APIs using Python.
-Ensure reliability of data systems by monitoring pipelines, troubleshooting failures, and restoring services.

Data Quality & Governance
-Implement robust data quality checks and validation rules to prevent downstream data issues.
-Maintain and enhance core data tables to ensure accuracy, consistency, and usability.
-Update and manage data lineage documentation to clearly map data flow from source to consumption layers.

Performance Optimization
-Optimize data processing and warehouse efficiency by rewriting and tuning SQL queries (e.g., in Snowflake or BigQuery).
-Continuously identify opportunities to improve existing data tools, queries, and workflows to reduce cost and improve performance.

Scalable Analytics Enablement
-Build self-serve, scalable data solutions that empower stakeholders and accelerate analytics.
-Automate recurring processes to improve efficiency and reduce manual effort.

Continuous Improvement
-Stay current with evolving data technologies, tools, and industry best practices.
-Proactively identify opportunities to enhance data infrastructure and analytical capabilities.

Basic Qualifications

• Strong business analysis and problem-solving skills with the ability to connect data to business impact
• Proven experience in data engineering (ETL/ELT pipelines, data modeling, and data architecture)
• Advanced SQL skills with experience optimizing queries in modern data warehouses (e.g., Snowflake, BigQuery)
• Proficiency in Python for data processing and API integrations
• Experience with data quality frameworks and monitoring tools
• Ability to communicate technical concepts clearly to non-technical stakeholders

Recruitment Process and Others 

Recruitment Process

· Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

· The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

· Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

· This job posting may be closed prior to the stated end date for application if all openings are filled.

· Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. · Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

· Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

· Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. · (Recruiter Note: add in the case of full-time regulars) This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. · (Recruiter Note: add if probation period is applicable, for example in the case of contract position of 3 months or longer) This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

· Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/

Document Return Policy 

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.

2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from

the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.

3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.

4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.

We are hiring a Senior Data Engineer to own the development of our Bronze and Silver data layers, the ingestion, transformation, and enrichment pipelines that turn raw healthcare data into governed, reliable, and reusable data assets ready for business use.

This role exists because we need engineers who can build at the intersection of healthcare data complexity and modern data engineering best practices. You will work directly with claims, formulary, and other critical data sources, building the pipelines that feed every downstream analytics use case, product, and client deliverable.

You will report to the Engineering Director and work closely with the Enterprise Data Architect to translate architecture patterns into production-grade pipelines. This is a hands-on technical role with significant autonomy. If you want to shape how a growing healthcare and life sciences company builds its data foundation, this is the opportunity.

Main Duties & Responsibilities:

1. Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
2. Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
3. Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
4. Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale.
5. Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality.
6. Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents.
7. Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.

Education and Experience:

Education: Bachelor’s degree in computer science, information systems, engineering, or a related technical field. Advance degree is a plus but not required.

Required:

• 5+ years of professional data engineering experience, with at least 3 years working in modern cloud data environments
• 2+ years hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns
• 2+ years working with dbt (Core or Cload) in production environments, including incremental models, testing, documentation, and package management
• Demonstrated experience with healthcare data. You understand ICD-10, NPI, NDC codes, and the messy realities of claims data quality
• Production experience with orchestration tools, such as Airflow, Dagster, or similar. You’ve built and maintained DAGs that run reliably at scale
• Strong SQL skills. You write efficient, readable, well-structured SQL and can debug complex query performance issues
• Python proficiency for data processing, scripting, and pipeline automation

Preferred:

• Experience with major claims data aggregators (e.g., McKesson, Symphony Health, IQVIA, Komodo)
• Familiarity with formulary and payer data
• Experience implementing medallion architecture or similar layered data patterns
• Background in life sciences, pharma services, or healthcare analytics organizations
• Experience with data observability tools
• Exposure to Snowpipe, Matillion, Fivetran, or other managed ingestion solutions
• Familiarity with Git-based workflows, CI/CD for data pipelines, and infrastructure-as-code

Knowledge, Skills, and Competencies: 

Technical Stack and Environments:

• Data Platforms (Snowflake, AWS Redshift, S3); Transformation (dbt, Matillion); Data Architecture; Tooling (Jira, Confluence); Orchestration (Airflow, Dagster); Ingestion (Snowpipe, Matillion, Fivetran, custom Python-based pipelines); Quality Monitoring and Observability (dbt tests, Elementary, Monte Carlo); Version Control & CI/CD (Git, GitHub Actions or similar, PR-based workflows); Languages (SQL, Python);

Ways of Working and Collaboration:

• Reporting Structure: You report directly to the Engineering Director.
• Architecture-guided, not architecture-dependent. You take direction from the Architect on patterns and standards, but you don’t need handholding on implementation. You can turn a design decision into production code
• Ownership mentality. You own your pipelines end-to-end, from ingestion to quality monitoring to incident response. “It’s not my job” isn’t in your vocabulary.
• Clear communication. You can explain technical trade-offs to non-technical stakeholders and write documentation that others can use. You participate constructively in code reviews.
• Collaborative, not siloed. You work closely other members of the engineering team. You understand that your Bronze and Silver layers exist to serve downstream consumers, and you build with their needs in mind.
• Quality-first mindset. You believe in testing, documentation, and observability. You’re uncomfortable shipping code that isn’t tested and pipelines that aren’t monitored.
• Location and Travel: This is a remote-friendly role with flexibility for EU-based or India-based candidates. Occasional travel for stakeholder meetings and strategic planning sessions.

Who This Role Is For:

• This role is for you if:
• You want to build foundational data infrastructure in a growing healthcare and life sciences company, not maintain legacy systems.
• You’re energized by healthcare data complexity, claims data is messy, and you find that interesting rather than frustrating.
• You thrive with autonomy and accountability. You want ownership of outcomes, not just tasks.
• You care about craft. Clean code, clear documentation, and maintainable systems matter to you.
• You want to see the impact of your work. The pipelines you build will power teams across the organization.
• This role is not for you if:
• you’re looking for a pure greenfield, no constraints environment. We have an architecture, standards, and patterns. You will contribute to them, but you won’t ignore them.
• You prefer highly specialized, narrow scope. This role spans ingestion, transformation, quality, and collaboration. You’ll wear multiple hats.
• You want to work in isolation. This is a collaborative team, and you’ll interact regularly within the engineering team and cross-functionally.
• You seek a management track. This is a hands-on IC role. Technical leadership is absolutely a yes, but this is not a people management role.

Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.

We are hiring a Senior Data Engineer to own the development of our Bronze and Silver data layers, the ingestion, transformation, and enrichment pipelines that turn raw healthcare data into governed, reliable, and reusable data assets ready for business use.

This role exists because we need engineers who can build at the intersection of healthcare data complexity and modern data engineering best practices. You will work directly with claims, formulary, and other critical data sources, building the pipelines that feed every downstream analytics use case, product, and client deliverable.

You will report to the Engineering Director and work closely with the Enterprise Data Architect to translate architecture patterns into production-grade pipelines. This is a hands-on technical role with significant autonomy. If you want to shape how a growing healthcare and life sciences company builds its data foundation, this is the opportunity.

Main Duties & Responsibilities:

1. Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
2. Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
3. Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
4. Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale.
5. Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality.
6. Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents.
7. Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.

Education and Experience:

Education: Bachelor’s degree in computer science, information systems, engineering, or a related technical field. Advance degree is a plus but not required.

Required:

• 5+ years of professional data engineering experience, with at least 3 years working in modern cloud data environments
• 2+ years hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns
• 2+ years working with dbt (Core or Cload) in production environments, including incremental models, testing, documentation, and package management
• Demonstrated experience with healthcare data. You understand ICD-10, NPI, NDC codes, and the messy realities of claims data quality
• Production experience with orchestration tools, such as Airflow, Dagster, or similar. You’ve built and maintained DAGs that run reliably at scale
• Strong SQL skills. You write efficient, readable, well-structured SQL and can debug complex query performance issues
• Python proficiency for data processing, scripting, and pipeline automation

Preferred:

• Experience with major claims data aggregators (e.g., McKesson, Symphony Health, IQVIA, Komodo)
• Familiarity with formulary and payer data
• Experience implementing medallion architecture or similar layered data patterns
• Background in life sciences, pharma services, or healthcare analytics organizations
• Experience with data observability tools
• Exposure to Snowpipe, Matillion, Fivetran, or other managed ingestion solutions
• Familiarity with Git-based workflows, CI/CD for data pipelines, and infrastructure-as-code

Knowledge, Skills, and Competencies: 

Technical Stack and Environments:

• Data Platforms (Snowflake, AWS Redshift, S3); Transformation (dbt, Matillion); Data Architecture; Tooling (Jira, Confluence); Orchestration (Airflow, Dagster); Ingestion (Snowpipe, Matillion, Fivetran, custom Python-based pipelines); Quality Monitoring and Observability (dbt tests, Elementary, Monte Carlo); Version Control & CI/CD (Git, GitHub Actions or similar, PR-based workflows); Languages (SQL, Python);

Ways of Working and Collaboration:

• Reporting Structure: You report directly to the Engineering Director.
• Architecture-guided, not architecture-dependent. You take direction from the Architect on patterns and standards, but you don’t need handholding on implementation. You can turn a design decision into production code
• Ownership mentality. You own your pipelines end-to-end, from ingestion to quality monitoring to incident response. “It’s not my job” isn’t in your vocabulary.
• Clear communication. You can explain technical trade-offs to non-technical stakeholders and write documentation that others can use. You participate constructively in code reviews.
• Collaborative, not siloed. You work closely other members of the engineering team. You understand that your Bronze and Silver layers exist to serve downstream consumers, and you build with their needs in mind.
• Quality-first mindset. You believe in testing, documentation, and observability. You’re uncomfortable shipping code that isn’t tested and pipelines that aren’t monitored.
• Location and Travel: This is a remote-friendly role with flexibility for EU-based or India-based candidates. Occasional travel for stakeholder meetings and strategic planning sessions.

Who This Role Is For:

• This role is for you if:
• You want to build foundational data infrastructure in a growing healthcare and life sciences company, not maintain legacy systems.
• You’re energized by healthcare data complexity, claims data is messy, and you find that interesting rather than frustrating.
• You thrive with autonomy and accountability. You want ownership of outcomes, not just tasks.
• You care about craft. Clean code, clear documentation, and maintainable systems matter to you.
• You want to see the impact of your work. The pipelines you build will power teams across the organization.
• This role is not for you if:
• you’re looking for a pure greenfield, no constraints environment. We have an architecture, standards, and patterns. You will contribute to them, but you won’t ignore them.
• You prefer highly specialized, narrow scope. This role spans ingestion, transformation, quality, and collaboration. You’ll wear multiple hats.
• You want to work in isolation. This is a collaborative team, and you’ll interact regularly within the engineering team and cross-functionally.
• You seek a management track. This is a hands-on IC role. Technical leadership is absolutely a yes, but this is not a people management role.

Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

What We Need

The Lead Data Quality Engineer is a key management role responsible for overseeing the data quality lifecycle within the 2K Data ecosystem. This role combines technical leadership with people management to ensure that game telemetry, player data, and analytics pipelines are accurate, reliable, and actionable. As an M5 leader, you will define the strategy for automated validation, establish organizational standards for data integrity, and lead a team of engineers to deliver high-trust data solutions that empower decision-making across the global organization.

What You Will Do

• Team Leadership: Manage and mentor a team of 3 direct reports, providing technical guidance, performance management, and professional development.
• Strategic Oversight: Define and drive the company-wide data quality strategy, standards, and best practices for the Data Engineering function.
• Data Reliability Frameworks: Establish and enforce SLAs, KPIs, and monitoring frameworks to ensure data observability and consistency.
• System Engineering: Oversee the design, implementation, and maintenance of automated data validation checks and anomaly detection systems across global
• Cross-Functional Collaboration: Partner with Site Leadership, game developers, and backend engineers to ensure accurate instrumentation of in-game events and telemetry.
• Root Cause Analysis: Lead investigations into complex data issues and schema drift, implementing long-term architectural improvements to prevent recurrence.
• Governance & Compliance: Support data governance initiatives, ensuring player data is handled in alignment with global privacy regulations and internal policies.

Core Competencies

• Strategic Leadership: Ability to align data quality initiatives with broader 2K business objectives and technical roadmaps.
• People Management: Proven capability in coaching technical talent and fostering a collaborative, high-performance team environment.
• Problem Solving: Advanced analytical skills to diagnose complex systemic issues within event-driven data architectures.
• Communication: Proficiency in translating technical data risks into actionable insights for non-technical stakeholders and executive leadership.

Who We Think Will Be A Great Fit

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical
• Extensive experience in data engineering or data quality, including prior experience in a management or lead capacity.
• Expert-level SQL skills and experience working with large-scale, event-driven
• Strong proficiency with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark).
• Proven track record of designing and implementing scalable data validation and monitoring

Preferred Qualifications

• Experience in the gaming industry or high-volume live-service
• Familiarity with data observability tools such as Great Expectations or Monte
• Experience with cloud platforms (AWS, Databricks, Snowflake, GCP, or Azure).
• Knowledge of player behavior analytics and experimentation (A/B testing)

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

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