Reporting to the Head of Global Indirect Procurement Operations & Excellence, the Indirect Procurement Center of Excellence (CoE) lead is responsible for defining and executing the vision, structure, and operating model for the CoE, enabling procurement excellence globally. This role drives best-in-class policies, tools, processes, and governance frameworks across all indirect categories, while advancing digital transformation, responsible sourcing, and enterprise-wide value creation.

The ideal candidate is a strategic leader with deep procurement expertise, a proven ability to influence stakeholders, and a strong track record of building high-performing teams and sustainable operating models.

Key Responsibilities

Strategy & Leadership

• Partner with leadership to contribute to the long-term vision and execute the operating strategy for the Indirect Procurement CoE, aligned with overall business objectives.
• Define global procurement goals, including cost optimization, risk mitigation, innovation enablement, and supplier ESG.
• Establish and maintain global procurement policies, standards, and operating models; ensure consistent policy adherence.
• Mentor and develop a global team of procurement professionals and support capability building across the enterprise.
• Build governance models and forums to manage key procurement decisions, issue resolution, and stakeholder engagement.

Source-to-Contract & Category Management

• Own the global Source-to-Contract (S2C) process, from strategic sourcing and negotiation to contract execution and management.
• Develop and manage frameworks to support cross-functional supplier collaboration, innovation pipelines, and supplier-enabled value.
• Enable the development of global and regional category management strategies through standardized toolkits, market intelligence, and negotiation frameworks.

Supplier Relationship & Risk Management

• Develop and manage comprehensive Supplier Relationship Management (SRM) frameworks, including supplier segmentation, performance management, and governance.
• Build frameworks to support cross-functional supplier collaboration and innovation pipelines.
• Build and maintain robust supply risk management frameworks for supplier compliance, financial health, operational dependency, and geopolitical risk.
• Partner with Legal, Compliance, and Finance teams to ensure adherence to regulatory standards and internal controls.

Responsible Procurement & ESG

• Lead the development and execution of the ESG and Responsible Sourcing strategy for Indirect Procurement across EU, NA and ANZ.
• Ensure alignment with enterprise sustainability goals including emissions, circularity, ethical sourcing, and diversity.
• Support internal and external audits; lead remediation of procurement-related findings.

Systems, Reporting & Analytics

• Act as the global business owner for (indirect) procurement technology, ensuring that systems and tools enable strategic objectives.
• Represent Indirect Procurement in the company-wide digital transformation program through the strategic implementation of automation and predictive analytics.
• Define and implement comprehensive performance management frameworks, KPIs, and dashboards to drive data-driven decision-making.
• Own procurement master data governance, including the cleansing, structuring, and ongoing maintenance of supplier data for accurate reporting.
• Have basic SQL knowledge to query e.g. Snowflake

Change Management & Stakeholder Alignment

• Serve as a change agent to drive adoption of procurement processes, policies, and systems across the organization.
• Collaborate with senior stakeholders across HR, IT, Finance, Legal, and Operations to embed procurement into enterprise workflows.
• Build strong internal relationships to position procurement as a strategic business partner.

Capability Building & Talent Development

• Develop and deploy a global procurement training and certification curriculum focused on category management, sourcing, and risk management.
• Build career paths, succession plans, and skill matrices to grow procurement talent within the function.
• Promote knowledge sharing and continuous improvement across regions and categories.

Qualifications

• Bachelor's degree in Business, Supply Chain Management, or related field; MBA or professional certification (e.g., C.P.M., CPSM) preferred.
• 7+ years of progressive experience in procurement, with a focus on indirect spend, preferably in food, CPG, or manufacturing sectors.
• Proven experience leading a global or regional Center of Excellence or Procurement Transformation function.
• Demonstrated experience in strategic sourcing, category management, supplier relationship management, and risk management.
• Deep understanding of procurement systems, processes, and digital tools 
• Strong leadership, communication, and influencing skills with the ability to engage executive stakeholders and global teams.
• Track record of building high-performing teams and driving cultural and operational change.

Preferred Experience

• Experience in a global or matrixed organization within the food & beverage, CPG, or manufacturing sector.

You’ll get…

• Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
• Generous PTO and flexible attendance policy 
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

WHO WE ARE 

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

The Opportunity

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

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

You Will:

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

You Have:

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

Bonus Skills:

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

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-DD1

WHO WE ARE 

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

The Opportunity

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

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

You Will:

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

You Have:

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

Bonus Skills:

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

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-DD1

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.

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.

Our B2B Team

Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.

About the Role

As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.

You Will

• Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
• Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
• Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
• Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
• Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
• Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation

About You

If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!

You Have

• Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
• 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
• Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
• Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
• Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
• Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
• Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
• Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
• Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities

What Makes This Job Amazing

• You’ll help millions of people live healthier lives while supporting enterprise partners at scale
• You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
• You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
• You’ll grow quickly in a transparent, high-performance environment with meaningful ownership

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value, not just the role you fill.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier, premium plans for you and your family, including medical, dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

Chainguard is looking for a marketing operation AI superstar who can build the analytics infrastructure, AI agents, and the tech stack that power our marketing team and help teammates actually use AI well. You're comfortable working independently, have 3–5 years under your belt, and are ready to go from day one.

What You'll Do

Analytics & Data

• Build and maintain marketing dashboards and pipelines, covering pipeline pacing, attribution, and segment and channel level performance across MQL, SAL, SQL, and pipeline $
• Partner with Sales Ops on goal tracking, lead flow, and segmentation
• Define attribution frameworks and data models that make marketing performance clear and defensible

AI Build & Automate

• Identify high-friction, repetitive processes across the marketing team and design agentic solutions that reduce manual effort and speed up execution
• Partner with marketers to understand their workflows, then build tools and automations they'll actually use
• Create and document reusable agent templates and playbooks so the team can spin up new automations independently over time

Tech Stack & Enablement

• Assist with core marketing tools Hubspot, CRM integrations, intent tools, and lead routing
• Run AI enablement for the marketing team: workshops, playbooks, and hands-on coaching

What We're Looking For

• 3–5 years in Marketing Operations or a GTM engineer role at a B2B SaaS company
• Solid SQL skills and experience with a data warehouse (BigQuery, Snowflake, or similar)
• Experience building automations and integrations (APIs, webhooks, workflow tools)
• Experience with Salesforce, LeanData and Hubspot is a must and HockeyStack, Seam, Unify, and Qualified is a nice to have
• Already using AI tools in your workflow and have a point of view on what works
• Organized, self-directed, and builds with documentation and scale in mind

Position Summary

Blackbird Health is looking to hire a Product Engineer—a role we define as a founder-in-residence for our engineering teams. You are not just a developer who picks up tickets; you are a product thinker who writes world-class code. Sitting at the intersection of Engineering, Product, and Design, you will own features from the back of the napkin idea to production deployment and user feedback.

This role is for a Senior Engineer on the cusp of Principal level who wants to exercise their product and program management muscles. You will work directly with clinical stakeholders to define the what and the why, then architect and build the how. If you are a former founder, a technical PM who misses coding, or an engineer who is tired of building the wrong things, this role is for you.

What makes you, you:

• Product-Minded Builder: You don't wait for a spec. You ask, Who is this for? and What problem are we solving? before writing a single line of code.
• Full-Stack Polymath: You are as comfortable discussing database schema design as you are tweaking CSS animations or setting up analytics events.
• Ownership Extremist: You view it works on my machine as a failure. You own the outcome, not just the output.
• Communication Bridge: You speak Doctor, Designer, and Engineer fluently, translating clinical needs into technical specifications.
• Pragmatic Perfectionist: You know when to ship a v1 to get feedback and when to build robust, scalable architecture for the long haul.

How you'll make an impact:

• End-to-End Feature Ownership: Lead the development of complex features (e.g., a new intake workflow or provider dashboard) from concept to launch.
• Product Definition: Collaborate with the Product & Engineering leadership to define requirements, user flows, and success metrics. You _are_ the Product Manager for your scope.
• Technical Architecture: Design scalable, maintainable full-stack solutions (React, Node.js, Python) that integrate seamlessly with our EHR and AI services.
• Program Management: Manage the timeline and delivery of your projects, coordinating across design, clinical ops, and other engineering squads.
• User Feedback Loops: Watch clinicians use your software, look at the data, and iterate rapidly. You are responsible for the success of the feature, not just the code.
• Mentorship: Elevate the team's product sense, teaching junior engineers how to think about user value and business impact.

The basics you'll need:

• 8+ years of full-stack engineering experience, with a track record of shipping complex web/mobile applications from scratch.
• Principal Level Technical Depth: Ability to architect systems, choose the right tools, and debug complex production issues independently.
• Product/Program Experience: Demonstrated experience managing projects, defining roadmaps, or working in a role where you had significant product influence (e.g., Founder, Technical PM).
• Modern Stack Proficiency: Expert in React/TypeScript, Node.js/Python, and cloud infrastructure (GCP, CDN, IAP).
• Data Fluency: Comfortable using SQL or analytics tools (Tableau, Snowflake, Looker, Databricks) to answer your own questions about user behavior.

Nice to have:

• Experience as a Founder or early employee at a startup.
• Background in Design/UX (Figma skills are a plus).
• Experience in Healthcare/Health Tech, understanding clinical workflows or FHIR data models.
• Experience with LLM/AI integration into user-facing products

Why Blackbird is unique:

• Frontier Technology: We are building an AI-native operating system for healthcare, not just another telemedicine app.
• High Autonomy: As a Product Engineer, you have the freedom to define the solution, not just implement it.
• Leadership Impact: You will report directly to technology executives and be a key voice in company-wide strategic decisions.
• Flexible schedule – set your own hours 
• Supportive work culture

Benefits

• Medical, Dental & Vision coverage (available on day 1 of employment)
• 401k (with a company match)
• Employer-paid life insurance coverage
• Generous paid time off
• Opportunities for career growth
• Final compensation determined based on experience

Greenhouse is looking for a Principal Marketing Analytics Manager to join our team! 

Reporting to the VP of Growth Marketing, the Principal Marketing Analytics Manager owns the analytics strategy, reporting architecture, and performance insights for the entire marketing organization. This is a high-visibility, high-impact role that serves as the strategic engine behind our growth.

In this role, you will do more than manage data; you will manage intelligence. You will deliver the analytics, dashboards, and insights required to optimize performance, but your real value lies in your ability to synthesize that data into a compelling narrative. You will be the primary architect of our executive-level operating reviews and QBRs, translating complex data into the "So What" that drives investment decisions at the highest levels of the company.

Who will love this job

• A data devotee – You are obsessed with the narratives hidden in data and excel at translating technical metrics into strategic business stories that resonate with executives.
• A Proactive Partner – You don't wait for a ticket or a roadmap. You sit in the huddles with Demand Gen, Content, and Brand leads, identifying their pain points and building solutions before they even ask.
• A Master Storyteller – You have the "Executive Presence" to walk into a QBR and not just present numbers, but provide a clear perspective on where we are winning, where we are losing, and where we must pivot.
• An AI-First Builder – You have a high "Bias for Action" and use AI to scale your impact. You’d rather use an LLM to help you ship a v1.0 dashboard today than spend a month drafting a framework that never launches.
• A Radical Collaborator – You enjoy the "enablement" side of the house. You find fulfillment in building tools and "bots" that make the rest of the team smarter and faster.

What you’ll do

• Build & Automate: Own the technical "Single Source of Truth." You will move our urgent OKR and KPI reporting from manual spreadsheets to automated, centralized dashboards in Snowflake and Tableau.
• Analyze & Synthesize: Conduct deep-dive audits of our marketing spend. You will look across attribution models (WMT vs. First Touch) to uncover hidden opportunities for growth and efficiency.
• Executive Storytelling: Lead the preparation for Marketing Operating Reviews and QBRs. You will build, analyze, and synthesize performance data into high-impact presentations for the Executive Leadership Team (ELT).
• Enable the Team: Act as an internal consultant for functional marketing leads. You will define and track 3–5 KPIs per function and build self-service "intelligence bots" (using AI where appropriate) so the team can answer their own data questions in real-time.
• Cross-Functional Catalyst: Partner closely with Revenue Analytics, Data Engineering, and Finance to ensure marketing data is a shared, trusted language across the entire organization

You should have

• 8+ years of experience in B2B Marketing Analytics or Revenue Operations, with a master-level understanding of the marketing funnel and enterprise sales cycles.
• Full-Stack Technical Literacy: Expert SQL and Snowflake skills are a must. You should be comfortable manipulating and transforming raw data without a hand-holder.
• Executive Presence: Proven experience prepping and presenting to C-Suite/VP-level stakeholders. You can defend your data under pressure and turn insights into action.
• A Bias for Action: A track record of identifying gaps and independently driving projects to completion. You are a "ship-it" person who prioritizes delivery velocity.
• AI Power User: You use AI tools (Cursor, LLMs, agents) to automate your workflow, write code, and scale your ability to support a large team.
• Attribution Expertise: Deep knowledge of multi-touch attribution (Bizible/SFDC) and the ability to explain the nuances of different models to non-technical audiences.
• Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply

Applicants must be currently authorized to work in the United States on a full-time basis.

If you are based in California, we encourage you to read this important information for California residents linked here.

The national pay range for this role is $145,000 - $188,000. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance, basic life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer short-term and long-term disability coverage, a 401(k) plan and company match. U.S. based employees also receive, per calendar year, up to 14 scheduled paid holidays and up to 80 hours of paid sick leave. Non-exempt employees accrue up to 20-25 days of paid vacation time annually, depending on tenure, and exempt employees have flexible paid time off (PTO).

The anticipated closing date for this role is May 22, 2026.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8 years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $130,000 to $160,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8 years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $165,000 to $180,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

This position does not offer visa sponsorship now or in the future.

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions.

Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

• Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
• Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem.
• Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business.

Qualifications

• 6-10 years of professional experience in a data engineering or data-driven software engineering role
• Exceptional Python and SQL skills
• Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
• Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
• Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
• Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
• Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
• Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
• Detail-oriented and able to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about learning and mastering cutting-edge technologies
• Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
• Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

iCapital is looking to hire a motivated People Analytics Vice President to join the growing global People team. This individual will sit on the People Operations team and report to the head of HR Operations and Analytics. This role in partnership with the People leadership team will leverage expertise to build, execute, and scale robust People analytics capabilities. The ideal candidate will implement assets such as interactive dashboards and executive presentations, conduct thoughtful data analyses, and provide key workforce insights that drive more impactful people decisions. This role requires an incumbent who is equally adept at technical and functional work, and who possesses a keen design sense to produce board-quality materials.

Responsibilities

• Build a People Analytics infrastructure, with the goal of seamlessly connecting people data across disparate HR systems to enable deeper insights.
• Utilize Tableau to oversee the evaluation, automation, and integration of existing Excel-based HR reporting efforts, such as headcount, hiring plan, and HR Dashboards to streamline data-informed decision making.
• Partner with HR Business Partners to identify key business challenges and apply data science to clarify them, connect data to business outcomes, and communicate insights and opportunities effectively back to stakeholders.
• Co-own, with HR Operations colleagues, responsibility for data optimization and root cause analysis of evolving data challenges.
• Lead the strategic design of people data for the firm and support business system owners with evolving workforce data needs.
• Conduct meetings outside of US working hours, as needed.

Qualifications

• A bachelor’s degree in business analytics, data science, information technology, statistics, human resources or related field
• 5-8+ years of experience building an analytics ecosystem and executing a people analytics strategy
• Familiar with human resource management concepts, metrics, and data
• Experience working with tools such as Tableau and Snowflake and other enabling middleware
• Excellent analytical skills and methods to diagnose, cleanse, and transform data
• Awareness of data visualization concepts and user-centric design
• Demonstrated experience managing confidential information with appropriate integrity and discretion
• Presentation skills to distill complex data into essential information for executives using engaging examples
• Experience working in a global team
• Familiar with Dayforce HRIS, Lattice Talent Management, and Greenhouse ATS a plus

Benefits

The base salary range for this role is $165,000 to $180,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

The role:

As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

What you’ll do: 

• Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
• Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
• Deploy, optimize, and monitor complex business process workflows on enterprise frameworks 
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
• Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
• Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
• Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
• Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
• Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

• Exposure to other cloud-native or AI workflow orchestration platforms.
• Experience with AWS
• Prior fintech or high-throughput consumer product experience.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

WHO WE ARE 

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

The Role 

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

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-YW1

WHO WE ARE 

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

The Role 

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

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-YW1

This role, in a nutshell:

Chainguard is hiring a Staff Sales Operations Manager to lead and scale the operational backbone of our GTM organization. Reporting to our Senior Director of Sales Ops, this role owns the strategy and execution of sales planning, territory management, pipeline governance, and cross-functional GTM programs. You will operate as a senior business partner to Sales Leadership, translating data and process into revenue impact.

The ideal candidate combines strategic vision with operational rigor and has a track record of building scalable processes in high-growth B2B SaaS environments.

What You Will Do:

Sales Partnership & Strategic Advisory

• Serve as a Business Partner to Enterprise Sales Leadership
• Own the operational rhythm of the business—forecast calls, pipeline reviews—ensuring leaders have the analytics and frameworks to make high-quality decisions.
• Translate executive priorities into operational roadmaps, aligning Sales Operations initiatives with company-wide revenue goals.
• Proactively identify performance gaps and growth opportunities across segments, presenting recommendations to senior leadership.

Territory Strategy & Design

• Own the end-to-end territory strategy—design, optimization, balancing, and realignment—across AMER private sector segments
• Define and enforce the account assignment framework, ensuring equitable and efficient coverage that maximizes market opportunity.
• Architect and implement automation solutions to streamline >90% of the territory management lifecycle, reducing manual effort and increasing accuracy.
• Maintain territory data integrity across Salesforce and connected systems; establish governance processes to prevent data drift.

Pipeline & Forecasting Operations

• Define and enforce pipeline management standards, stage definitions, and forecasting methodologies in partnership with Sales Leadership.
• Own pipeline health reporting and analytics—monitor conversion rates, stage velocity, and hygiene to drive forecast accuracy and consistency.
• Design and implement pipeline inspection frameworks that enable frontline managers to coach effectively.
• Partner with Finance and FP&A on forecast models, ensuring alignment between bottom-up pipeline signals and top-down targets.

Process Architecture & Policy Governance

• Design, document, and continuously improve scalable SOPs and workflows for all core Sales Operations functions.
• Co-own the internal Rules of Engagement (ROE)—define policy, drive cross-functional alignment, adjudicate disputes, and manage escalations.
• Lead change management efforts when introducing new processes or tools, ensuring adoption across the sales organization.
• Build and deliver enablement programs to educate sales teams on policies, territory definitions, system usage, and operational best practices.

Systems, Tools & Cross-Functional Programs

• Partner with GTM Systems to define requirements and drive enhancements to Salesforce and the broader revenue tech stack.
• Lead cross-functional strategic programs that span Sales, Marketing, Customer Success, and Finance—owning project plans, stakeholder alignment, and delivery.
• Evaluate and recommend new tools and technologies that improve operational efficiency and data quality.

Qualifications

• 6–10+ years of progressive experience in Sales Operations, Revenue Operations, or GTM Strategy, ideally in Enterprise B2B SaaS.
• Demonstrated ability to lead and develop high-performing teams in fast-paced, high-growth environments.
• Deep expertise in territory planning, pipeline governance, forecasting methodologies, and sales process design.
• Advanced Salesforce proficiency (admin-level understanding preferred); experience designing scalable workflows and automation.
• Strong analytical toolkit—advanced Excel/Sheets, SQL, and experience with BI platforms (e.g., Sigma, Tableau, Looker).
• Proven track record of building, documenting, and scaling operational processes from scratch.
• Exceptional communication and executive presence—comfortable presenting to C-level stakeholders and driving alignment across functions.
• Strategic thinker who thrives in ambiguity and can balance long-term vision with near-term execution.
• Willingness to travel for QBRs and team offsites (~1x per quarter).

$174,000-$205,000 base salary.

This position is 100% remote anywhere in the US

Overview:

The Sales Engineering team is responsible for driving and managing the technology evaluation stages of a sales process. Members of the Sales Engineering team liaise regularly with sales personnel, product management, marketing, engineering, and other teams to remove any barriers to sales opportunities. This role will primarily serve the Precisely’s Americas sales organization.

What you will do:

• Participate in all aspects of the sales process to ultimately interpret and address client requirements with an innovative and collaborative mindset. Perform technical and business value discovery with customers from all verticals and industries to identify pain points and possible solutions.
• Present the value of the Precisely solution to clients in various stages of the sales cycle in the form of custom demos, workshops, proof of concepts/value, pilot projects, assisted trials. Expect to work across environments like Databricks, Snowflake, AWS, Azure to build custom Precisely solutions.
• Build solution demonstrations using the modern tech stack, perform pilots and POCs in complex multi cloud environments. Tech stack may involve use and build of APIs, SDKs and Precisely data to build solutions. Our SEs typically build 5-7 custom pilots/POCs over the course of a fiscal year.
• Provide consultative solutions spanning across multiple business units and technology domains not limited to Precisely solutions. Our SEs act as trusted advisors for our customers’ strategic projects like Digital transformation, Last Mile delivery etc where customers are not only expecting our solution value but best practices from the marketplace to build their data strategy around those industry best practices. Hence, it’s imperative for our SEs to stay current with the market trends and industry best practices.
• Improve efficiency of the presales team, contribute to creating reusable demos, documents, and other assets. Every custom solution built needs to be documented and added to the library, so one can expect to add 5-7 reusable solutions to the asset library every year.
• Be a Precisely brand ambassador at trade shows, conferences, and other marketing events. Every SE typically represents Precisely 3-4 times at industry events. It’s expected to prep, build and deliver assets relevant to the event.

What we are looking for:

• Bachelors in computer science, Information Technology or other relevant Engineering/technical branch of academics
• 5+ years of experience in any of the following functions: presales or customer success or product management or professional services or engineering or technical support
• 4+ years of experience developing solutions using Scala, Python, JAVA, Spark frameworks in environments like Databricks.
• Proven relationship management experience, with the ability to communicate with, present to, and influence both technical and operational stakeholders all the way up to the C-Suite.
• Hands-on experience with Cloud environments for example - AWS, MS Azure
• Demonstrable experience with SAAS architecture and Cloud Computing
• Travel is required: Yes – Approximately 30%
• Experience with data management (Data Quality, Data Governance, Data Integration, MDM) tools and solutions would be a plus
• Demonstrable experience with Generative AI is a plus

#LI-GB1 #LI-Remote 

Financial Analyst, Global OpEX

Summary of the Position

Are you a detail-oriented financial professional with strong analytical skills and a passion for operating expense management? We are seeking a Financial Analyst, FP&A – Global OpEx to support global operating expense forecasting, budgeting, and actuals analysis within the Global Financial Planning & Analysis (FP&A) team. This role will initially focus on R&D OpEx, with scope that may evolve over time across other functional areas.

This critical role partners closely with cost center owners, functional leaders, and Accounting across regions to deliver accurate forecasts, variance analysis, and decision-support insights that drive disciplined OpEx management. If you have a strong foundation in financial planning, variance analysis, and expense governance, this opportunity offers a platform to make a strategic impact in a fast-paced, collaborative environment.

Key Responsibilities

Budgeting & Forecasting

- Support the global OpEx annual budget, quarterly forecast, and monthly outlook cycles, ensuring alignment with business objectives and financial targets.

- Partner with cost center owners and functional leaders to consolidate, challenge, and roll up OpEx forecasts across regions and departments.

Reporting, Forecasting & Analysis

- Analyze actuals vs. budget and forecast variances at the GL, cost center, and department level, identifying drivers and providing clear commentary for finance leadership.

- Deliver monthly close packages, dashboards, and standardized financial reports with actionable insights to support business decisions.

Financial Modeling & Scenario Planning

- Develop and maintain models to assess the financial impact of departmental initiatives, run-rate changes, vendor contracts, and expense optimization opportunities.

- Build scenario analyses for OpEx reductions, reallocations, and discretionary spend trade-offs to support quarterly EBITDA targets and strategic planning.

Process Optimization & Automation

- Drive improvements in OpEx forecasting and reporting by streamlining recurring deliverables and leveraging tools such as Adaptive Insights, Oracle, Snowflake, Excel, and Power BI.

Expense Governance & Controls

- Support purchase order, contract, and accrual review processes, ensuring accurate expense recognition, GL hygiene, and compliance with internal controls and approval thresholds.

Qualifications & Experience

- Education: Bachelor’s degree in Finance, Accounting, Economics, or a related field required.

- Experience: 2–5 years of experience in Financial Planning & Analysis, Corporate Finance, or OpEx/Budget Management. Experience in global or consumer goods/retail organizations is a plus.

- Technical Skills: Strong proficiency in Excel, financial modeling, and data visualization tools such as Power BI. Experience with planning systems (e.g., Adaptive Insights), ERP platforms (e.g., Oracle), and data warehouses (e.g., Snowflake) preferred. Demonstrated fluency with enterprise AI assistants (e.g., ChatGPT, Claude, Microsoft Copilot, Gemini) to accelerate analysis, modeling, and reporting workflows.

- Analytical & Communication Skills: Strong ability to interpret complex expense data, identify trends and variance drivers, and effectively communicate findings to business leaders.

- Controls & Process Discipline: Demonstrated experience supporting close cycles, accruals, and expense governance with attention to accuracy, audit-readiness, and adherence to internal controls.

- Stand-Out Qualification: Experience managing OpEx at a granular level (cost center, GL account, and vendor) across a large, multi-region organization is highly preferred and will distinguish strong candidates.

Location: Needham, MA

Work Type: Hybrid – 3 days per week in office

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

Position Summary 

As Associate Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Omnicom Media stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts. 

Key Responsibilities 

New Business Setup: 

• Work closely with leadership to lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design. Assume full accountability for delivery, quality, and client satisfaction. 

Data Migrations: 

• Manage and execute large-scale data migration projects and comparable complex assignments. 

Consistent Processes: 

• Incorporate consistent processes and best practices across Mediabrands clients. 

Campaign Naming Conventions: 

• Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments. 

Data Integration: 

• Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows. 

Data Quality & Anomaly Detection: 

• Implement QA processes and anomaly detection to safeguard data integrity across all deliverables. 

Leadership Skills and Stakeholder Management:  

• Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions. 
• Ensure quality work output from onshore/offshore teams 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

 Required Skills 

Technical Skills: 

• Good understanding of end-to-end data flow, APIs, databases, and BI tools. 
• Visualization and dashboard creation experience; Tableau preferred. 
• Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred. 
• Database experience (Snowflake preferred). 
• Understanding of taxonomy creation and execution 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

Leadership Skills: 

• Proven experience in management of multiple team members 
• Ability to provide feedback & guidance in a constructive manner to direct reports 
• Demonstrate collaboration, including ability to drive clarity in a multi-stakeholder environment 

Desired Skills & Experience 

• 4+ years of experience in agency or client-side digital media planning or media analytics 
• Presentation development and delivery 
• Strong written and verbal communication 
• Ability to engage, develop, and give feedback to drive success of colleagues not reporting to you directly 

Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. 

The salary range for this position is posted below.  Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications.   

Employment Transparency

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.  

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com.

Position Summary 

As Associate Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Omnicom Media stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts. 

Key Responsibilities 

New Business Setup: 

• Work closely with leadership to lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design. Assume full accountability for delivery, quality, and client satisfaction. 

Data Migrations: 

• Manage and execute large-scale data migration projects and comparable complex assignments. 

Consistent Processes: 

• Incorporate consistent processes and best practices across Mediabrands clients. 

Campaign Naming Conventions: 

• Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments. 

Data Integration: 

• Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows. 

Data Quality & Anomaly Detection: 

• Implement QA processes and anomaly detection to safeguard data integrity across all deliverables. 

Leadership Skills and Stakeholder Management:  

• Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions. 
• Ensure quality work output from onshore/offshore teams 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

 Required Skills 

Technical Skills: 

• Good understanding of end-to-end data flow, APIs, databases, and BI tools. 
• Visualization and dashboard creation experience; Tableau preferred. 
• Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred. 
• Database experience (Snowflake preferred). 
• Understanding of taxonomy creation and execution 

Media Platform Knowledge: 

• Campaign Management: CM360, DSPs. 
• Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X. 
• Search: SA360, Bing, Google Ads. 

Leadership Skills: 

• Proven experience in management of multiple team members 
• Ability to provide feedback & guidance in a constructive manner to direct reports 
• Demonstrate collaboration, including ability to drive clarity in a multi-stakeholder environment 

Desired Skills & Experience 

• 4+ years of experience in agency or client-side digital media planning or media analytics 
• Presentation development and delivery 
• Strong written and verbal communication 
• Ability to engage, develop, and give feedback to drive success of colleagues not reporting to you directly 

Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. 

The salary range for this position is posted below.  Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications.   

Employment Transparency

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.  

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email accommodation@mbww.com.

About the Attentive Team

Have you ever received text message marketing from your favorite brand with an incredible offer? Did you know that effective text message marketing is by far the highest ROI marketing channel? And did you know that customers are increasingly preferring to interact with brands through text? That is what we do at Attentive. We help the world’s largest brands interact with their clients at the right time and with the right message. Our platform powers more than 400 million messages per day, approaching 100 billion per year.

We’re building big things!  Check out our tech blog here: https://tech.attentive.com/

About the Role

Our Business Intelligence team transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment.

As a Software Engineer on the BI Tooling & Platform team, you will have the opportunity to shape the foundation on which our metrics are built and retrieved. You will collaborate with talented engineers, product managers, and other internal stakeholders to create innovative applications that empower our BI Team to deliver metrics that our customers trust and rely on.

What You’ll Accomplish

• Collaborate and negotiate with Product Management to meet the user’s needs without sacrificing quality or accruing tech debt. You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques.
• You are constantly improving the quality of the project you are working on, both via code contributions as well as long-term advocacy for larger-scale changes.
• Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance.
• Collaborate with subject matter experts, fellow developers, and internal stakeholders to turn business goals into achievable technical roadmaps.

Your Expertise

• 3+ years of professional experience in software development focusing on data engineering and backend systems.
• Advanced proficiency in Java, with a deep understanding of object-oriented programming principles.
• Proficiency in python programming, Experience with Apache Airflow, Snowflake, containerization technologies (e.g., Docker, Kubernetes), and designing scalable data ingestion and processing services is highly desirable.
• Hands-on experience designing and developing microservices and APIs.
• Skilled in working with both relational and non-relational databases, as well as streaming technologies.
• Proven track record of architecting and delivering high-scale, high-quality applications.
• Demonstrated excellence in execution, balancing the urgency of speed with the necessity of quality.
• Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Comfortable navigating ambiguity and translating business objectives into clear, actionable deliverables.
• Enthusiastic about exploring and adopting new technologies, with a pragmatic approach to selecting tools that align with project goals.

Nice to Haves

• Proven experience working with data, including SQL, data analysis, and data engineering.
• Strong familiarity with AWS services, cloud infrastructure, and workflow orchestration, GraphQL.
• Experience with messaging systems or streaming platforms such as Kafka or Pulsar.
• Practical knowledge of DevOps practices and tools, including Docker and Kubernetes, for containerization and orchestration.
• Familiarity with AI tools (e.g., Claude and Codex) to explore opportunities for up-leveling the team's capabilities and company performance.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $135,000 - $175,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-DNI

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role

We're looking for a Director of Engineering to lead our Shopper Management organization, the group responsible for how Attentive understands shoppers and helps determine the best ways to engage with them. This is the data foundation that powers everything: identity resolution, user profiles, segmentation, CRM, and product and offer intelligence. When a marketer asks "who is this shopper, what do they care about, and how should I reach them?", your team provides the answer.

This is a unique role that sits at the intersection of data platform engineering and product-facing systems. You'll own the technical strategy for building a unified, trustworthy shopper data foundation while delivering the marketer-facing experiences that make that data actionable. The pillar spans 5 teams, across identity systems, behavioral data pipelines, segmentation infrastructure, and CRM capabilities.

You'll be the engineering leader for a strategic pillar of the company, partnered closely with Product and Design leadership to drive our evolution to an omni-channel marketing platform with a deep customer focus, making Attentive the best place not just to send messages, but to understand the people behind them.

What You’ll Accomplish

• Set technical direction for the Shopper Management organization, spanning identity resolution, user profile, segmentation, products & offers, and CRM — ensuring these historically independent systems converge into a coherent, shopper-centric architecture
• Lead and grow an engineering organization across multiple sub-teams, hiring strong technical leaders, coaching managers, and building a culture of ownership and craft
• Drive the unified shopper technical strategy by evolving our cross-channel model that enables powerful personalization and attribution
• Build end-to-end data traceability and observability so that every system decision, from segment membership to message targeting, is explainable and auditable, laying the groundwork for client-facing insights
• Improve data quality and consistency across the platform, reconciling profiles with segmentation datasets, validating data integrations, and ensuring shopper data is standardized and accessible across all product surfaces
• Own the operational health of the domain, reducing support burden through better tooling, retiring legacy systems, and investing in automated quality detection and self-service debugging
• Partner with Product and Design to deliver marketer-facing experiences that make shopper data inspiring and usable, from segmentation tools to CRM interfaces and shopper profiles
• Accelerate developer velocity by investing in reliable dev/test environments, stable CI/CD, decoupled service architectures, clear system ownership, and agentic automation
• Collaborate cross-functionally with ML, messaging, analytics, and growth teams, whose systems depend on the shopper data foundation you maintain

Your Expertise

• 10+ years of software engineering experience, with 5+ years leading engineering teams including managing managers
• Deep understanding of related data platform architectures: you've led teams building identity systems, customer data platforms, user profile stores, event pipelines, or segmentation engines at scale
• Familiarity with direct marketing and martech ecosystems: you understand how customer data flows from collection through activation, and you appreciate the nuances of CRM, audience building, and personalization
• Strong people-first leadership: you develop engineering managers and tech leads, create high-trust environments, and make the people around you better. You know that the best technical outcomes come from well-supported teams
• Experience operating large-scale data systems: comfort with technologies like Spark, Dynamo, Flink, Kafka, Snowflake, Clickhouse, and similar tools for real-time and batch data processing
• Product sensibility: you can partner effectively with Product and Design, translating business needs into technical strategy and helping your teams understand the "why" behind what they build
• Track record of managing technical migrations and platform modernization: you've navigated the complexity of deprecating legacy systems while maintaining reliability and shipping new capabilities
• Strong communication skills: you can articulate technical strategy to executive stakeholders, align cross-functional partners, and create clarity in ambiguous problem spaces

Nice to Have

• Experience in martech, adtech, or e-commerce platforms where customer data and identity resolution are core to the product
• Background working with ML teams to operationalize predictive attributes into usable, personalized products within a direct marketing platform
• Experience with experimentation frameworks and A/B testing infrastructure
• Familiarity with data privacy and compliance requirements in the context of customer identity and behavioral data

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $243,000 - $315,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-CM1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

Devops Engineer, Surveillance

A Career with Point72's Surveillance Team

Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations.

WHAT YOU'LL DO

• Lead the design and build of scalable data infrastructure and pipelines to power surveillance analytics, enabling rapid exploration and production deployment of signals and models
• Build and operate infrastructure as code to provision, secure, and manage cloud resources and platform services with an emphasis on repeatability and automation
• Design and maintain containerized platforms and orchestration layers to run analytics and machine learning workloads reliably and efficiently at scale
• Develop and maintain CI/CD pipelines and ML lifecycle automation to accelerate model development, validation, deployment, and rollback
• Implement and evolve observability, logging, and alerting across the stack to shorten time to detection and resolution for production incidents
• Automate security controls, access management, and compliance checks within platform tooling to support regulated surveillance workflows
• Collaborate closely with data scientists, analysts, and security teams to translate surveillance requirements into production-ready, maintainable systems
• Optimize cloud cost, performance, and operational practices for large-scale data processing, storage, and model training workloads
• Mentor engineers and contribute to platform best practices, documentation, and runbooks to drive continuous improvement and team impact

WHAT'S REQUIRED

• Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
• 5+ years of hands-on experience in cloud infrastructure, DevOps, or platform engineering supporting production data or machine learning workloads
• Proven, hands-on experience with data warehouses and lakehouses such as Snowflake, Redshift, BigQuery, or Databricks
• Strong command of Infrastructure as Code with Terraform and Terraform Enterprise
• Proficiency in containerization with Docker or Podman, orchestration using Kubernetes, AWS EKS, or ECS Fargate, and implementation of GitOps principles and workflows
• Hands-on experience building CI/CD pipelines using GitHub Actions and automating model lifecycle using MLflow, Kubeflow, or Weights & Biases
• Experience operating observability and monitoring stacks including Datadog, AWS CloudWatch, and the Grafana ecosystem (Grafana, Loki, Prometheus)
• Extensive experience with AWS core services, including S3, EC2, Lambda, RDS, and EMR, and practical experience using Boto3 and AWS machine learning services such as SageMaker and Bedrock
• Strong scripting and programming skills in Python and Bash and proven experience operating Linux-based production systems
• Ability to work onsite in Stamford, CT and to communicate and troubleshoot effectively across cross-functional, distributed teams
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $160,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Octus is seeking a Principal Data Engineer to roll up their sleeves and build scalable, production-grade data pipelines and infrastructure. You'll be a hands-on technical leader — writing code daily, solving hard engineering problems, and helping elevate the team around you through doing. Spanning Snowflake, Databricks, and AWS, you'll be deeply involved in the day-to-day development of the data platform that powers Octus's products, data, and automation initiatives. The ideal candidate is an expert in Python and SQL who thrives in an execution-focused environment and has deep experience building modern data pipelines and lakehouse solutions.

Responsibilities

• Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
• Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
• Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
• Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
• Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
• Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
• Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
• Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
• Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
• Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.

Requirements

• Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
• Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
• Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
• Expert proficiency in Python for data pipeline and automation development.
• Advanced SQL skills with experience optimizing complex queries and data models at scale.
• Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
• Experience implementing and managing Terraform or similar IaC frameworks.
• Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
• Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
• 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
• Demonstrated experience leading data infrastructure projects end-to-end and mentoring senior engineers.
• Familiarity with containerization (Docker) and workflow orchestration best practices.
• Excellent communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with streaming data technologies (Kafka, Kinesis, Flink).
• Exposure to ML/AI pipeline patterns (feature stores, experiment tracking, model serving) and MLOps tooling, particularly in a cross-functional team environment.
• Experience integrating data quality and observability tools.
• Experience with Databricks as a data sharing and collaboration platform (Delta Sharing, Marketplace).
• Familiarity with Claude Code or similar AI-powered developer tools for accelerating pipeline development and code workflows.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $175,000 - $220,000

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

Role

We are looking for a backend-oriented Senior Software Engineer to help us advance our clinical AI by designing and building core systems that handle, process, and analyze clinical data at scale. The ideal candidate for this role has a track record of delivering complex features in incrementally valuable releases and with a high bar for quality. While this role focuses on backend systems, strong candidates are able to deliver across the stack.

**This role is fully remote within the US**

What You’ll Do

• Design, build and launch new backend services, capabilities and improve the overall quality of SmarterDx’s apps
• Collaborate across disciplines to understand our users and iterate on new ideas
• Protect patients’ privacy and security through secure coding practices
• Research and advocate for improved techniques, processes, and designs within the team
• Support SmarterDx’s apps in production

What You Bring

• 5+ years of development experience with a focus on backend and cloud-based solutions
• Expertise in Python 
• Experience working with Postgres or a similar relational database
• Experience building cloud-native distributed systems and working with event-driven architectures
• Experience working with data scientists to plan, build, and iterate on deliverables
• Experience working in a security-conscious environment
• Excellent communication and team collaboration skills
• Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

Nice To Haves

• Experience at a scale-up, or rapid growth, technology company 
• Experience in the health tech domain, particularly in hospital billing systems
• Experience working with Kubernetes
• Experience working with Airflow and tools that handle ELT pipelines
• Experience with Snowflake and dbt
• Experience with full stack ownership and development (Javascript/React)

Our Stack

Python, React, Kubernetes, Postgres, AWS, Terraform,  ElasticSearch/OpenSearch, Airflow, Snowflake

Compensation

$190K to $230K base salary

#LI-DNI

THE ROLE

Despite the "Engineer" title, this isn't a typical back-end coding job. This is a pre-sales and architectural advisory role for someone who is part scientist, part consultant, and part communicator. At the Staff / Principal level, you are expected to be a hybrid heavy hitter — someone who can talk shop with PhD data scientists and then walk into a boardroom and explain the ROI to a CEO.

We aren't looking for your average expert. We're building a team of T-shaped professionals with:

• Deep Technical Roots — You know PyTorch, Kubernetes, and GPU clusters (NVIDIA/AMD) inside and out, and you know when XGBoost is a better choice than the latest frontier model.
• Broad Business Acumen — You understand verticals, e.g. how a hospital's AI needs differ from a hedge fund's, and can navigate both conversations with credibility.
• Collaborative Autonomy — With a global remit and potential for 30-60% travel, you are in charge of driving results within diverse collaborations.

We're building a small, global Applied AI team to work directly with enterprise customers and partners — helping them turn AI ambitions into production outcomes on Pure's platform. This team brings genuine research and production depth to customer-facing engagements: leading technical advisory sessions, shaping AI strategy for some of the world's largest companies, and contributing to Pure's growing reputation in AI through publications, conferences, and thought leadership.

The team also ensures Pure's account teams can effectively qualify and position AI advisory opportunities across their territories, and provides enablement to our internal field and channel partner communities. The role requires working cross-functionally across Solutions, Marketing, Alliances, Engineering, Enablement, and Sales to align initiatives and go-to-market campaigns — all while maintaining genuine technical depth in enterprise AI.

If this sounds like you, come join one of the most exciting teams at Pure.

WHAT YOU'LL DO:

• Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data
• Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform
• Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes
• Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks
• Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs)
• Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

WHAT YOU BRING:

• Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience
• 8+ years building and deploying AI/ML systems in cloud or on-prem environments
• Deep expertise in modern AI/ML — large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, and classical ML
• Fluency with the modern AI stack (PyTorch, vLLM, Ray, Kubernetes) and data platforms (Spark, Snowflake, Kafka, etc.)
• Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively
• Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers

WHAT SETS YOU APART:

• Experience with large-scale AI infrastructure: GPU clusters, high-performance storage, containerized deployments
• Experience in customer-facing technical advisory or consulting roles with enterprise accounts
• Experience leading independent, multi-year research from concept to publication or large-scale production deployment
• Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing)
• Publication record, conference presentations, or recognized technical presence
• Background combining applied research with shipping production systems
• Familiarity with CRM/opportunity management systems (Salesforce preferred)

#LI-REMOTE

#LI-JL4

The Principal Solution Architect – Finance Systems will be responsible for defining, leading, and delivering the finance and controlling system architecture and roadmap across the enterprise.
This role serves as the strategic thought leader for all Finance, Controlling, and Costing systems, ensuring scalable, compliant, and efficient processes across SAP S/4HANA FICO, integrated procurement and manufacturing flows, and enterprise reporting systems.

You will partner closely with Finance, Operations, and IT leadership to shape the financial systems strategy, drive modernization initiatives, and ensure integration of Finance into end-to-end business processes spanning supply chain, manufacturing, and corporate functions.

Key Responsibilities

1. Architecture and Strategy

• Own the Finance Systems architecture vision and roadmap across General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, Product Costing, Treasury, and Financial Planning & Analysis.
• Design end-to-end processes for Record-to-Report (R2R), Plan-to-Produce (P2P), Procure-to-Pay (P2P), and Order-to-Cash (O2C) — ensuring seamless integration with manufacturing, supply chain, and procurement systems.
• Evaluate and implement SAP S/4HANA standard capabilities, minimizing customizations while driving standardization and scalability.
• Align financial systems strategy with enterprise architecture, compliance, and business objectives.
  
  
• Establish design governance through the Finance Architecture Review Board, ensuring consistency and cross-functional alignment.
  
  

2. Solution Design and Delivery

• Lead the design, configuration, and integration of SAP FICO modules — FI, CO, PS, FSCM, BCS, and Group Reporting — with internal and external systems.
• Oversee process design for costing, intercompany, capitalization, variance analysis, and profitability reporting (COPA).
• Architect integration between SAP and non-SAP platforms including Concur, Coupa, Workday, OpenText, VIM, Treasury Management Systems, and Snowflake/Palantir analytics.
• Partner with business stakeholders to identify opportunities for process automation, AI-based financial insights, and intelligent spend management.
• Develop and maintain Business Process Documentation (BPDs), configuration standards, and integration blueprints.
  
  

3. Governance, Compliance, and Control

• Ensure all Finance system designs and implementations adhere to GAAP, SOX, and ITGC compliance standards.
• Define and monitor control frameworks across master data, transactional flows, and intercompany operations.
• Partner with internal audit, FP&A, and external consultants to support quarterly and annual reviews.
• Drive consistent use of financial master data (cost centers, GL accounts, profit centers) through robust data governance.
  
  

4. Leadership and Collaboration

• Partner with senior Finance and IT leaders to define financial transformation goals and execution strategy.
• Lead cross-functional architecture design sessions spanning Manufacturing, Supply Chain, Quality, and Corporate Finance.
• Provide guidance to analysts, developers, and project teams, ensuring alignment to design principles.
• Work with external vendors and partners (SAP, Accenture, Deloitte, NS2) to deliver roadmap milestones and adopt best practices.
• Mentor and upskill internal teams on SAP S/4HANA Finance capabilities and data-driven decision support.
  
  

Qualifications

Education:

• Bachelor’s degree in Accounting, Finance, Computer Science, or a related field; CPA, Chartered Accountant, or SAP Certification in FICO preferred.
• Master’s degree in Business or Information Systems preferred.
  
  

Experience:

• 15+ years of experience in SAP Finance and Controlling (FICO), with at least 2 full lifecycle SAP S/4HANA implementations.
• Deep understanding of core Finance processes — GL, AP, AR, Asset Accounting, Controlling, Treasury, Product Costing, and Profitability Analysis.
• Experience with integration across MM, SD, PP, and PS, and exposure to SAP Group Reporting, SAC, or BTP-based analytics.
• Proven experience in designing compliant solutions in SOX/ITGC environments and managing audit evidence for SAP controls.
• Experience with AI/automation in Finance operations, including intelligent document processing and analytics.
• Hands-on expertise in configuration, design governance, and digital finance transformation.
  
  

Skills:

• Strong financial acumen with deep system knowledge.
• Ability to translate finance requirements into scalable, automated technology solutions.
• Excellent communication, leadership, and stakeholder management skills.
• Experienced in Agile and hybrid delivery models with global teams.
  
  

Key Deliverables

• A unified, scalable Finance Systems Roadmap integrated with enterprise operations.
• Simplified, standardized financial processes across all business units.
• Improved accuracy and timeliness in reporting and compliance.
• Enhanced visibility into costs, margins, and capital allocation.
  
  

Why This Role Matters

This role bridges finance strategy and technology enablement, ensuring that every business decision is backed by accurate, real-time, and reliable financial insights.
As we scale into a production-ready organization, the Finance Architect will ensure our systems evolve to support cost control, compliance, and business growth.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $219,000 - $273,700. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

To enable millions of users to explore, interact with, and participate in live events worldwide, StubHub is seeking a Senior Product Manager to manage the development of next-generation technologies and innovative, impactful features. You’ll lead our Seller Experience, Post-Purchase org, responsible for delivering on the strategy and execution of the end-to-end seller experience, after sellers list their tickets on our platform. You will build and launch products that drive trustworthy, low-friction buyer and seller experiences, and evolve our incentives and policies for sellers. This is an opportunity for a strong PM to lead and build AI/Automation capabilities that result in improved seller experiences, provide faster and clearer decisions and drive more efficient operations on a global scale. 

Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA 

About the Team:  

We provide a world class end-to-end post-purchase seller experience designed to deliver a consistently great buyer experience. We solve for the largest seller pain points with holistic product led solutions and build clear, fair policies and incentives that elevate seller performance. Our work balances accountability with enablement: we reduce friction for good sellers through better education and incentives while increasing the effectiveness of enforcement when standards aren’t met.  

What You’ll Do:  

• Own the strategy for the Seller Experience, Post-Purchase and translate it into a prioritized, measurable roadmap aligned to company goals.
• Reduce seller friction via proactive policy communications, in-product guidance, and self-serve payment and dispute workflows that resolve issues quickly and teach best practices.
• Design, automate, and evolve policy architecture from one-size-fits-all to targeted frameworks that vary by seller segment, geo, event type, and risk profile, enabling faster iteration and better outcomes.
• Refine and build our incentive mechanisms for sellers and subsequent innovations, including rules, punishments, and positive incentives. 
• Increase enforcement effectiveness by improving issue detection and collections flows – raising the recoup rate of seller fines while minimizing impact on good-faith sellers.
• Lead cross-functional execution with Engineering, Operations, CS, Strategic Finance and Legal; write crisp specs, sequence delivery, and manage trade-offs.
• Measure and analyze end-to-end customer experience and policy funnels, running experiments to improve the seller experience and tune incentives and penalties.
• Champion a culture that moves fast responsibly – shipping iteratively while safeguarding marketplace trust and the bottom line.
• Assist with building and developing a more mature seller experience organization. 

What You’ve Done:  

• 5+ years in Product Management (or equivalent) with experience in two-sided marketplaces, policy & incentives design, enterprise customers or workflow/UX systems.
• Shipped scaled, enterprise products, with highly technical foundational, platform-like services.
• Customer obsessed, with demonstrable results in building product led solutions to improve the customer experience.
• Proven track record designing behavioral incentive systems that shape user actions at scale (e.g., marketplace supply, gig economy, fintech risk, gaming economies).
• Able to break down complex systems into understandable components; excellent written specs and stakeholder communication across Engineering, Legal, Risk, Finance, and Ops.
• Strong analytical chops; comfortable defining metrics and digging into data with tools like SQL, Snowflake, and Tableau to solve problems and analyze experiments. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

To enable millions of users to explore, interact with, and participate in live events worldwide, StubHub is seeking a Senior Product Manager to manage the development of next-generation technologies and innovative, impactful features. You’ll lead our Seller Experience, Post-Purchase org, responsible for delivering on the strategy and execution of the end-to-end seller experience, after sellers list their tickets on our platform. You will build and launch products that drive trustworthy, low-friction buyer and seller experiences, and evolve our incentives and policies for sellers. This is an opportunity for a strong PM to lead and build AI/Automation capabilities that result in improved seller experiences, provide faster and clearer decisions and drive more efficient operations on a global scale. 

Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA 

About the Team:  

We provide a world class end-to-end post-purchase seller experience designed to deliver a consistently great buyer experience. We solve for the largest seller pain points with holistic product led solutions and build clear, fair policies and incentives that elevate seller performance. Our work balances accountability with enablement: we reduce friction for good sellers through better education and incentives while increasing the effectiveness of enforcement when standards aren’t met.  

What You’ll Do:  

• Own the strategy for the Seller Experience, Post-Purchase and translate it into a prioritized, measurable roadmap aligned to company goals.
• Reduce seller friction via proactive policy communications, in-product guidance, and self-serve payment and dispute workflows that resolve issues quickly and teach best practices.
• Design, automate, and evolve policy architecture from one-size-fits-all to targeted frameworks that vary by seller segment, geo, event type, and risk profile, enabling faster iteration and better outcomes.
• Refine and build our incentive mechanisms for sellers and subsequent innovations, including rules, punishments, and positive incentives. 
• Increase enforcement effectiveness by improving issue detection and collections flows – raising the recoup rate of seller fines while minimizing impact on good-faith sellers.
• Lead cross-functional execution with Engineering, Operations, CS, Strategic Finance and Legal; write crisp specs, sequence delivery, and manage trade-offs.
• Measure and analyze end-to-end customer experience and policy funnels, running experiments to improve the seller experience and tune incentives and penalties.
• Champion a culture that moves fast responsibly – shipping iteratively while safeguarding marketplace trust and the bottom line.
• Assist with building and developing a more mature seller experience organization. 

What You’ve Done:  

• 5+ years in Product Management (or equivalent) with experience in two-sided marketplaces, policy & incentives design, enterprise customers or workflow/UX systems.
• Shipped scaled, enterprise products, with highly technical foundational, platform-like services.
• Customer obsessed, with demonstrable results in building product led solutions to improve the customer experience.
• Proven track record designing behavioral incentive systems that shape user actions at scale (e.g., marketplace supply, gig economy, fintech risk, gaming economies).
• Able to break down complex systems into understandable components; excellent written specs and stakeholder communication across Engineering, Legal, Risk, Finance, and Ops.
• Strong analytical chops; comfortable defining metrics and digging into data with tools like SQL, Snowflake, and Tableau to solve problems and analyze experiments. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Staff Product Security Engineer

OVERVIEW

We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering strategy and execution. This role will be responsible for building and scaling a modern data platform that supports business intelligence, personalization, supply chain optimization, and AI/ML initiatives across the organization.

RESPONSIBILITIES

• Lead and mentor a high-performing team of data engineers and architects.
• Design and implement scalable, secure, and efficient data pipelines and infrastructure.
• Partner with business leaders, product managers, and data scientists to deliver data solutions that drive business impact.
• Oversee the development and maintenance of data lakes, data warehouses, and real-time streaming systems.
• Establish best practices for data governance, quality, and compliance (e.g., GDPR, CCPA).
• Evaluate and implement modern data tools and platforms (e.g., Snowflake, Databricks, Airflow, dbt).
• Drive innovation in data architecture to support personalization, predictive analytics, and AI/ML capabilities.
• Manage vendor relationships and ensure cost-effective use of third-party data services.

QUALIFICATIONS

• 8-10+ years of experience in data engineering or related fields, with at least 5 years in a leadership role.
• Proven experience building and scaling cloud-based data platforms (AWS, GCP, or Azure).
• Expertise in SQL, Python, Spark, and modern data stack tools.
• Strong understanding of data modeling, ETL/ELT processes, and real-time data processing.
• Experience supporting e-commerce, retail, or consumer brands is a plus.
• Excellent communication and stakeholder management skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

The base salary range for this position is $250,000-$280,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

Position Overview 

The Data Governance Manager ensures end‑to‑end governance of satellite network data by establishing and maintaining standards, lineage, controls, and data‑quality frameworks that support reliable analytics for BPMS, RAN planning, mobility modeling, and regulatory reporting. This role defines data policies, validates data integrity, manages catalogs and lineage, enforces compliance, and ensures datasets meet engineering and planning requirements for accurate forecasting and operational decision‑making. The position reports to the Director of Network Planning & Analytics. 

This role is responsible for ensuring the trustworthiness, consistency, and governance of all satellite‑network data used for planning, modeling, and regulatory submissions. The Data Governance Manager establishes governance standards, lineage practices, and quality controls that enable dependable analytics across BPMS, RAN planning, and mobility modeling. By enforcing data‑quality and compliance standards, the role underpins accurate forecasting, defensible regulatory reporting, and sound operational decisions at scale. 

Key Responsibilities 

Data Governance Framework & Policy Management 

• Establish data governance models, principles, and operating processes for satellite‑network datasets. 

• Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls. 

• Integrate governance requirements into planning workflows, data pipelines, and change management processes. 

Metadata, Lineage, Cataloging & Data Quality 

• Maintain data catalog, glossary, metadata repositories, and end‑to‑end lineage for critical planning and mobility datasets. 

• Ensure data discoverability, semantic consistency, and traceability across engineering and analytics systems. 

• Set data quality SLAs/SLOs, implement automated checks, and lead remediation for issues impacting planning accuracy or regulatory reporting. 

Compliance, Risk Management & Cross‑Functional Alignment 

• Ensure data compliance with regulatory reporting, internal governance, and audit requirements. 

• Maintain audit‑ready artifacts and evidence of lineage, access governance, and data controls. 

• Define stewardship roles, collaborate with planning, engineering, and analytics teams, and align data definitions with system‑level needs. 

Analytics Enablement, Change Control & Reporting 

• Certify trusted datasets for BPMS analytics, RAN planning, mobility modeling, and forecasting. 

• Govern schema changes, version control, and data lifecycle evolution across platforms. 

• Deliver dashboards and reporting on data quality, lineage completeness, control adherence, risks, and remediation status. 

Deliverables 

• Data governance charter and operating model; documented policies, standards, and control catalogs. 

• Enterprise data catalog with business glossary, certified data products, and end‑to‑end lineage maps. 

• Data quality framework with rules, SLAs/SLOs, scorecards, monitoring, and remediation workflows. 

• Stewardship model with ownership matrix (RACI), steward roster, and council meeting cadence notes. 

• Approved data models and definitions for BPMS, RAN planning, mobility modeling, and regulatory datasets. 

• Access governance artifacts (classification, RBAC/ABAC matrices), audit logs, and evidence packs. 

• Change management procedures covering schema/versioning, impact assessments, and rollback plans. 

• Quarterly governance dashboards (DQ trends, lineage completeness, incidents, SLA adherence). 

• Regulatory reporting data packs with traceable lineage, control evidence, and sign‑off records. 

• Deployment readiness “data certification” checklists for market activation and ongoing operations. 

Qualifications 

Education 

• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, or a related field. 

• Master’s degree (Data/Information Management, Analytics, or similar) is a plus. 

Experience 

• 5+ years in data governance, data management, or metadata/lineage/data quality leadership roles. 

• Experience governing analytics for telecom/satellite, networks, or other complex, regulated data environments. 

• Proven track record establishing policies/standards, implementing catalogs/lineage, and enforcing data quality controls. 

• Demonstrated cross‑functional leadership partnering with engineering, analytics, and regulatory stakeholders. 

Required Technical Expertise 

• Data governance frameworks and artifacts (policies, standards, stewardship, RACI, control catalogs). 

• Metadata/lineage management and data catalog administration (e.g., Microsoft Purview, Collibra, Alation, Apache Atlas, Unity Catalog). 

• Data quality frameworks and tooling (rule‑based and statistical checks; DQ SLAs, scorecards, monitoring, remediation). 

• Master & reference data management (MDM/RDM) and semantic modeling (conceptual/logical/physical). 

• Access governance (RBAC/ABAC), data classification, PII handling, encryption, and audit logging. 

• Cloud data platforms and pipelines (Azure/AWS; Databricks/Spark; Snowflake/Redshift; Synapse/Delta Lake). 

• Practical understanding of network/satellite data domains (telemetry, coverage/traffic KPIs, mobility events, spectrum/logs, cost/deployment data). 

Professional Skills 

• Structured, detail‑oriented problem solving with a strong documentation mindset. 

• Ability to translate regulatory and engineering requirements into clear data controls and standards. 

• Excellent stakeholder management and communication across technical and non‑technical audiences. 

• Change management leadership for data lifecycle governance and platform evolution. 

• Ability to prioritize in a fast‑paced environment and drive outcomes through influence. 

Technology Proficiency 

• SQL for profiling and validation; familiarity with Python/Spark for quality rules and data tests. 

• Experience with data catalogs, lineage tools, and DQ platforms; BI tools (Power BI/Tableau) for governance dashboards. 

• Working knowledge of CI/CD for data (versioning, release pipelines) and collaboration tools (Jira/Confluence). 

• Strong proficiency with Microsoft Office Suite (Excel, PowerPoint, Word); Windows/Linux environments. 

Physical Requirements 

• Ability to work in a standard office or lab environment and operate a computer for extended periods. 

• Occasional travel for cross‑functional workshops, audits, and market activation readiness reviews. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Your Opportunity

We are seeking a hands-on Data Engineer to design, build, and maintain reliable ELT pipelines and production-grade analytics models in Snowflake.

This role requires strong SQL expertise, deep DBT experience, and demonstrated ability to independently build and troubleshoot end-to-end data pipelines — from ingestion (APIs, change data capture) through transformation and BI consumption.

The ideal candidate takes ownership of data systems, proactively identifies failure points, and delivers production-ready solutions without sustained oversight.

Your Responsibilities

ELT Pipeline Development

• Design and implement end-to-end ELT pipelines into Snowflake.
• Build and maintain ingestion pipelines from:
  • Third-party APIs
  • SaaS platforms
  • Internal application databases
• Implement and maintain Change Data Capture (CDC) processes.
• Ensure incremental loading, idempotency, and data consistency.
• Diagnose and resolve ingestion failures independently.

Data Modeling & Transformation (DBT)

• Design layered DBT models (staging, intermediate, marts).
• Write high-quality, performant SQL transformations.
• Implement incremental models and testing strategies.
• Optimize transformations for cost and performance in Snowflake.
• Ensure transformations are production-ready and validated prior to deployment.

Data Quality & Monitoring

• Implement data validation and anomaly detection checks.
• Design monitoring around pipeline failure modes.
• Perform structured root cause analysis for data discrepancies.
• Ensure production datasets are complete, timely, and trustworthy.

Production Ownership

• Drive work from design through deployment.
• Validate outputs prior to release.
• Monitor deployed pipelines and models.
• Proactively address data gaps or inconsistencies.
• Document assumptions, transformations, and dependencies clearly.

BI & Collaboration

• Partner with analytics and business stakeholders to translate requirements into scalable data solutions.
• Support Looker semantic modeling and dashboard reliability.
• Communicate technical tradeoffs clearly and concisely.

The responsibilities listed above may not be all inclusive.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Advanced SQL proficiency (window functions, performance tuning, complex joins).
• Hands-on experience building DBT models in a production environment.
• Experience working with Snowflake or similar cloud data warehouse.
• Experience building and maintaining ELT pipelines.
• Experience implementing Change Data Capture (CDC).
• Experience integrating and ingesting data from external APIs.
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience deploying production-ready data assets with minimal oversight.

Preferred Qualifications

• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, dbt Cloud).
• Experience designing data monitoring frameworks.
• Experience with Looker or similar BI tools.
• Familiarity with orchestration tools.

What We're Looking For

We value engineers who:

• Take full ownership of data systems.
• Think critically about edge cases and failure modes.
• Identify problems before stakeholders do.
• Drive initiatives to production completion.
• Communicate clearly and proactively.
• Understand that reliability is as important as functionality

Operational Details

• Job location is based at Scion headquarters in Chicago, IL
• Working hours are general daytime business hours

Your Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternity Leave
• FLSA Status
• Discretionary annual EOY bonus
• Paid Time Off

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

Sr. Director Data Platform Engineering & Operations

San Mateo, CA

The Sr. Director Data Platform Engineering & Operations is a critical leadership role at SIE, responsible for driving innovation and scalability across the company’s data and AI platform ecosystem. This role oversees platforms including Data Infrastructure (Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, and Governance & Data Observability tools.

In this role, you will ensure SIE’s platforms process massive volumes of data, delivering insights that enhance Player, Creator, Publisher, and Enterprise experiences. By enabling data-driven decisions at scale, you will drive the future of personalized gaming, efficient operations, and enterprise productivity through advanced AI and machine learning technologies.

As a strategic leader, you will define and execute the vision for SIE’s data and AI platform ecosystem, ensuring scalable solutions that support key business objectives across gaming, content creation, and enterprise operations. Reporting to the VP of Data & AI, you will lead global teams of engineers and experts to build platforms that democratize data and transform decision-making across the company.  Priority consideration will be given to candidates with proven experience in a previous or current Sr. Director level role. 

This highly cross-functional role works closely with senior leadership in engineering, product, and business to align the platform ecosystem with the organization’s strategic goals.

Key Responsibilities:

Strategic Leadership:

• Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.

Platform Development & Operations:

• Provide thought leadership in the design, architecture, and execution of the platform ecosystem, ensuring innovation and seamless integration with SIE’s global gaming services and enterprise operations.
• Ensure platforms are optimized for performance, scalability, and reliability, processing billions of data points daily across Player, Creator, Publisher, and Enterprise activities.
• Champion operational excellence by driving continuous improvements in platform cost efficiency, performance, and security to support SIE’s global user base.

Cross-functional Collaboration:

• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Work with teams to ensure data platforms improve engagement, content creation, monetization, and efficiency.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.

Innovation & Efficiency:

• Lead efforts to optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience:

Technical Expertise:

• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Proven track record of architecting platforms capable of processing petabytes of data and supporting the real-time ingestion and processing of billions of data points daily across gaming and enterprise domains.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Extensive experience with Kafka for data streaming and real-time data ingestion.
• Strong hands-on knowledge of Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Expertise with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Knowledge and experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.

Leadership & Strategic Skills:

• Proven leadership in building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Strong strategic mindset, translating business objectives into scalable technical solutions that deliver value across the organization.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.

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Sr. Director Data Platform Engineering & Operations

San Diego, CA

The Sr. Director Data Platform Engineering & Operations is a critical leadership role at SIE, responsible for driving innovation and scalability across the company’s data and AI platform ecosystem. This role oversees platforms including Data Infrastructure (Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, and Governance & Data Observability tools.

In this role, you will ensure SIE’s platforms process massive volumes of data, delivering insights that enhance Player, Creator, Publisher, and Enterprise experiences. By enabling data-driven decisions at scale, you will drive the future of personalized gaming, efficient operations, and enterprise productivity through advanced AI and machine learning technologies.

As a strategic leader, you will define and execute the vision for SIE’s data and AI platform ecosystem, ensuring scalable solutions that support key business objectives across gaming, content creation, and enterprise operations. Reporting to the VP of Data & AI, you will lead global teams of engineers and experts to build platforms that democratize data and transform decision-making across the company.  Priority consideration will be given to candidates with proven experience in a previous or current Sr. Director level role. 

This highly cross-functional role works closely with senior leadership in engineering, product, and business to align the platform ecosystem with the organization’s strategic goals.

Key Responsibilities:

Strategic Leadership:

• Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.

Platform Development & Operations:

• Provide thought leadership in the design, architecture, and execution of the platform ecosystem, ensuring innovation and seamless integration with SIE’s global gaming services and enterprise operations.
• Ensure platforms are optimized for performance, scalability, and reliability, processing billions of data points daily across Player, Creator, Publisher, and Enterprise activities.
• Champion operational excellence by driving continuous improvements in platform cost efficiency, performance, and security to support SIE’s global user base.

Cross-functional Collaboration:

• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Work with teams to ensure data platforms improve engagement, content creation, monetization, and efficiency.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.

Innovation & Efficiency:

• Lead efforts to optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience:

Technical Expertise:

• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Proven track record of architecting platforms capable of processing petabytes of data and supporting the real-time ingestion and processing of billions of data points daily across gaming and enterprise domains.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Extensive experience with Kafka for data streaming and real-time data ingestion.
• Strong hands-on knowledge of Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Expertise with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Knowledge and experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.

Leadership & Strategic Skills:

• Proven leadership (in a prior Sr. Director level role strongly preferred) building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Strong strategic mindset, translating business objectives into scalable technical solutions that deliver value across the organization.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.

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**We support 100% remote, in-office, or hybrid work styles for anyone legally eligible to work in the U.S. 

A day in the life:

The Director of GTM, Partnerships is a mid to senior-level role at the center of Power Digital's Partnerships team, responsible for translating the partner ecosystem (Tech, PE and Advisors) into measurable commercial value. This person owns the full commercial lifecycle across our partner go-to-market.  This is a highly cross-functional, enterprise-facing role that requires equal parts relationship builder, strategic operator, and financial thinker. You will manage complex fundraising motions, own commercial revenue streams from ideation to negotiation, and serve as the bridge between partners and Power Digital's internal product, sales, CX, and marketing teams.

This role reports directly to the VP of Partnerships.

Responsibilities:

Joint GTM with the Partner Ecosystem

• Lead new partner vetting and due diligence—evaluating whether technology solutions are the right fit for Power Digital clients based on performance data, ICP alignment, and commercial potential.
• Develop and manage joint business plans (JBPs) with priority technology and channel partners, translating shared goals into defined initiatives, timelines, and revenue targets.
• Own and structure commercial agreements, including co-selling arrangements, resell and white-label opportunities, and bonus media incentive programs.
• Source and activate alpha and beta opportunities with platform partners to give Power Digital a competitive first-mover advantage for clients.
• Design, launch, and manage partner pilot programs in coordination with internal activation and CX teams.
• Employ AI technologies to enhance and optimize GTM processes and partner engagement workflows.
• Utilize and leverage Power Digital's Nova ecosystem as it relates to the Partnerships function.

Fusepoint Partnerships

• Develop and grow a portfolio of technology partnerships specifically designed to support fusepoint, Power Digital's measurement and strategic consulting practice.
• Identify and structure partnerships that unlock exclusive testing opportunities, platform performance consulting engagements, referral programs, and client-facing competitive advantages.
• Source credentialing and certification opportunities with platform partners that elevate FusePoint's credibility and market position.
• Serve as the primary relationship owner for FusePoint's partner ecosystem, ensuring alignment between partner capabilities and FusePoint priorities.

Joint Technical Innovation (nova)

• Develop and manage partnerships with technology companies aimed at co-developing nova capabilities, offsetting the product roadmap, or providing exclusive access to AI/data insights and tooling.
• Own the full sales cycle for joint technical planning (JTP) initiatives—from opportunity identification and stakeholder alignment through proposal development, negotiation, and signed agreement.
• Partner closely with Power Digital's product and engineering teams to ensure external partnership opportunities are aligned to the Nova roadmap and technically viable.
• Execute a highly complex, enterprise fundraising motion—including financial modeling and reverse M&A-style structures—to secure technical funding and resource offsets from platform partners.
• Manage executive stakeholder relationships at partner organizations, building long-term alliances that generate recurring technical investment.
• Conduct technical demonstrations and present compelling business cases to secure JTP commitments from partner organizations.
• Monitor emerging trends in AI, AdTech, and data infrastructure to surface new opportunities that align partner priorities with Nova's roadmap.

Reporting, Pacing & Commercial Operations

• Own end-to-end commercial deal management: sourcing, structuring, executing, and reporting on all commercial partner agreements.
• Track and communicate pacing toward commercial revenue targets on a monthly and quarterly basis, flagging risks and opportunities in real time.
• Manage the distribution and re-investment of commercial deal value back to the appropriate business units (product, activation, sales/marketing, partnerships, etc.).
• Define and maintain measurable OKRs and KPIs for all active commercial partnerships, ensuring alignment with broader organizational goals.

Program Management & Cross-Functional Execution

• Serve as the sole internal champion for partner pilots, incentive programs, and commercial initiatives—owning the full program lifecycle from kickoff to post-delivery reporting.
• Work cross-functionally with marketing, sales, product, and CX to ensure partner programs are fully resourced and successfully executed.
• Act as the primary bridge between external partners and Power Digital's internal teams, managing timelines, escalations, and stakeholder communication throughout.
• Build feedback loops from the delivery team back to partners to demonstrate performance, reinforce trust, and identify expansion opportunities.

Co-Marketing & Brand Amplification

• Identify and secure speaking opportunities at partner-hosted events, industry conferences, and co-produced webinars—positioning Power Digital and fusepoint SMEs as thought leaders within the partner ecosystem.
• Develop and pitch joint content opportunities with technology partners, including whitepapers, case studies, blog features, social campaigns, and co-branded research that expand reach and reinforce credibility.
• Build and maintain a rolling co-marketing pipeline with priority partners—proactively sourcing opportunities tied to FusePoint's consulting capabilities, Nova's technology story, and Power Digital's broader service offering.
• Coordinate with the internal marketing team to brief, scope, and execute co-marketing initiatives—ensuring partner needs are properly resourced and launched on time.
• Pitch and secure sponsorship and activation opportunities for partners to participate in Power Digital summits, client dinners, and co-hosted events.
• Leverage the partner ecosystem to facilitate introductions and build relationships between priority technology partners and Power Digital's CX team—creating direct lines of support that drive client retention, upsell opportunities, and deeper platform utilization across the book of business.

Role Requirements:

Skills & Experience

• 5+ years of experience in partnerships, business development, or GTM roles—ideally within a marketing agency, AdTech, SaaS, or consulting environment.
• Proven track record of owning and closing complex commercial agreements, including co-sell, resell, or technology partnership structures.
• Experience with enterprise fundraising motions, joint business planning, or financial modeling
• Deep understanding of the AdTech and MarTech landscape, including platforms such as Google, Meta, TikTok, Amazon, Snowflake, Klaviyo, Shopify, or similar.
• Strong analytical skills—comfortable building financial models, interpreting performance data, and synthesizing market intelligence into partner strategy.
• Excellent executive presence and presentation skills; able to command the room with both internal leadership and senior partner stakeholders.
• Experience working cross-functionally across marketing, sales, product, and CX teams to drive shared outcomes.

Leadership & Collaboration

• Demonstrated ability to influence without authority across large, matrixed organizations.
• Strong negotiation skills with a proven ability to secure high-value deals and investment commitments.
• Self-starter mentality—comfortable operating with ambiguity and building programs from the ground up.

Strategic Thinking

• • Innovative mindset; actively identifies creative partnership structures and commercial opportunities others miss.
  • Results-oriented with a bias toward measurable impact over activity.
  • Ability to zoom between macro strategy and detailed execution without losing sight of either.

Key Performance Indicators (KPIs)

• Total commercial revenue sourced from partner ecosystem
• Joint technical/ innovation revenue secured for nova annually
• Fusepoint revenue sourced from partner ecosystem
• Client Retention and Growth influenced by GTM/ commercial partnerships

Most Important Things (MITs)

• Commercial Execution: Own and close complex commercial deals across JBP, JTP, co-sell, resell, and incentive programs—translating partner relationships into measurable revenue and resource value for Power Digital.
• Nova Technical Partnerships: Lead the enterprise fundraising motion tied to Nova—building the business case, managing executive relationships at partner organizations, and securing technical funding and offsets aligned to the product roadmap.
• Fusepoint Partnership Development: Build a distinct portfolio of consulting-focused technology partnerships that give Fusepoint exclusive testing access, credentialing opportunities, and a competitive edge in the market.
• Program Management: Champion every partner initiative internally—from pilot launch to post-delivery reporting—ensuring no deal goes dark, and every partner program delivers on its commercial promise.
• Partner Co-Marketing & Visibility: Identify and secure speaking opportunities, joint content, and co-branded activations with technology partners that expand Power Digital's and FusePoint's reach, reinforce thought leadership, and drive revenue potential through the partner ecosystem.
• Client Retention & Growth via Partners: Leverage the partner ecosystem to build direct relationships between technology partners and the CX team—turning partner connections into a lever for client retention, upsell, and deeper platform adoption across the book of business.

Benefits & Perks:

• Base salary + commission opportunities
• Unlimited PTO (available on day one)
• Fully flex work environment: full-remote, in-office, or hybrid
• 12 observed national holidays—including Juneteenth
• Regularly scheduled mental health and recharge days
• 401k plan
• Unlimited opportunities for professional growth within a rapidly growing firm
• Robust Medical, Dental, and Vision insurance plans with up to 100% employer contribution towards employee monthly premium
• Employee Assistance Program (EAP)
• Quarterly awards and recognitions for outstanding performance
• Clear pathway to leadership for every position
• Opportunities to be involved in company's DEI initiatives
• Ongoing employee development programs for personal and professional growth (Hedgehog and Vital 5s)

The Pricing Strategy Team
Okta’s Pricing Strategy team partners across Product, Finance, Sales, and Operations to shape how we package, price, and monetize our portfolio globally. We sit at the intersection of strategy and analytics, translating market signals and customer behavior into clear recommendations that drive growth and value capture. The team’s work is highly cross-functional and directly influences executive decision-making and field execution.

The Principal Data Scientist, Pricing Strategy Opportunity
Reporting to the Head of Pricing Strategy, this role will lead the data science and analytics strategy that underpins portfolio-level pricing and packaging decisions. You’ll combine strong quantitative rigor with strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform high-impact monetization programs. You will partner closely with senior leaders across Product and GTM to turn ambiguous questions into actionable insights, recommendations, and scalable execution plans.

What you’ll be doing

• Strategic Pricing Influence: Partner with Product, GTM, and Finance leadership to inform portfolio-level pricing, packaging, and discount strategy with data-driven recommendations
• Advanced Analytics and Modeling: Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes across segments and geographies
• Experimentation and Pilots: Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans
• Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance
• Metrics and Dashboard Development: Establish the right KPIs and build dashboards to monitor monetization strategy effectiveness and the ROI of pricing initiatives in real time
• Data Foundation Partnership: Work with Okta Data teams to shape and enhance the foundational data required for pricing analytics initiatives
• Cross-Functional Execution Partnership: Translate strategy and insights into operational requirements, working with stakeholders across Sales, Legal, and Systems teams to enable implementation and adoption

What you’ll bring to the role

• 8+ years of experience in data science, analytics, pricing, strategy consulting, or a related quantitative field (B2B SaaS preferred)
• Proven ability to apply statistical rigor and structured analytics to ambiguous business problems and deliver measurable impact
• Experience designing measurement approaches for business initiatives (e.g., pilots, rollouts, test-and-learn), and communicating results with clarity
• Strong proficiency in SQL and Python, with experience working in modern data environments (e.g., Snowflake) and BI tools (e.g., Tableau)
• Ability to synthesize complex data using quantitative approaches, translate findings into clear visualizations, and deliver executive-ready insights and recommendations
• Demonstrated ability to influence cross-functional senior stakeholders and lead through ambiguity with strong collaboration and ownership

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

• Experience in pricing, packaging, monetization, or growth strategy for multi-product SaaS portfolios
• Familiarity with forecasting, optimization, or causal measurement methods in a business context
• Experience partnering with Sales/GTM teams to drive adoption of new programs and measure field impact

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The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities. 

Impact & Responsibilities:

• Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
• AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications: 

• 6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
• Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
• Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
• Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
• Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications: 

• Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
• Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
• Prior experience supporting a Solutions Engineering or Partner/Channel organization.
• Experience in SaaS GTM.

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