About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

ABOUT THE JOB

Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation that fuels aggressive AI-driven innovation. We are seeking an accomplished and passionate Data Product Enablement Specialist to champion the adoption and effective utilization of our enterprise semantic layer. Reporting to the Master Data Management (MDM) team, this pivotal role will act as a critical bridge between business intelligence needs and technical data solutions, actively shaping the semantic layer's development and empowering Anduril's diverse teams, from data scientists and application developers to business analysts, to leverage it for rapid application building, advanced analytics, and AI initiatives.

You will be a key contributor to the MDM Center of Excellence (CoE), working closely with business and technical stakeholders to define the semantic landscape. You will help translate complex technical data structures (PLM, MES, ERP, Foundry, Databricks) into intuitive, business-friendly ontology objects, and then serve as the primary expert and advocate for these models through hands-on workshops, hackathons, office hours, and comprehensive training programs. Your work will directly accelerate AI-driven application development, foster a vibrant culture of data self-service, and ensure that Anduril's data foundation scales to meet our aggressive growth and IPO readiness targets.

WHAT YOU'LL DO

• Contribute to Semantic Layer Design, Data Definition & Governance: Actively participate in the design and definition of the enterprise semantic layer, collaborating with Data Architecture, Data Platform, MDM, and business teams. This includes providing prioritization guidance on the development of the golden record based on business need, advising on semantic model structures, critical attributes on data entities, data relationships, and business logic within Anduril's Ontology. Partner with SMEs to build comprehensive data dictionaries and inventories. As a key member of the MDM CoE, contribute to the development and enforcement of data governance policies and data quality standards, while continuously gathering user feedback and collaborating closely with MDM, Data Platform teams, and relevant platform product teams (e.g., Palantir Foundry) to prioritize and implement semantic layer enhancements.
• Champion Semantic Layer Adoption & Operational Enablement: Lead the charge for semantic layer adoption, acting as the primary advocate and subject matter expert for all user personas. This includes designing and delivering comprehensive enablement programs (workshops, bootcamps, office hours, hackathons, documentation, and learning resources) and managing day-to-day operational workflows like routing complex issues, triaging support questions, and overseeing user access provisioning and security group management in close collaboration with InfoSec and Compliance.
• Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower users for self-service data consumption. Identify, cultivate, and equip power users across business domains to serve as local semantic layer champions, accelerating peer-to-peer learning and reducing reliance on centralized support. Build a scalable enablement ecosystem where knowledge compounds organically across teams.
• Consult & Facilitate AI-Driven Solutions: Provide guidance and direct support to data scientists, application developers, and business analysts on how to effectively query, integrate with, and maximize value from the semantic layer. Directly enable development teams by showcasing optimal methods for consuming semantic/gold layer data.
• Translate & Evangelize Strategic Value: Communicate the strategic value and practical benefits of the MDM-fueled semantic layer to diverse audiences, from engineers to executive stakeholders, clearly articulating how it accelerates innovation and ensures data trust, aligning with business objectives and IPO readiness.

REQUIRED QUALIFICATIONS

• Minimum of 6 years of progressive experience in Data Enablement, Data Analytics, Data Architecture, or Data Product roles, with a strong focus on user empowerment and semantic layer design.
• Exceptional ability to operate as a bridge between business and technical teams, translating complex business problems into clear data requirements, semantic model specifications, and data dictionary definitions that directly shape the enterprise golden record and ontology.
• Proven hands-on experience leveraging data platforms for data modeling, governance, and consumption patterns.
• Proven experience with Master Data Management principles and their application in building trusted data foundations, including data quality, governance, stewardship, and data lifecycle management.
• Familiarity with modern data platforms and tools (e.g., SQL, Python, Tableau, data modeling) and their integration points with semantic layers.
• Demonstrated experience designing, developing, and delivering engaging technical training programs, workshops, and hackathons, with a track record of driving adoption and building communities of practice.
• Excellent communication, presentation, and stakeholder management skills, capable of articulating complex data concepts as clear, actionable insights for diverse audiences.
• Understanding of AI/ML concepts and how semantic layers facilitate feature engineering and model development.
• Familiarity with data governance, metadata management, data lineage, and user access management as they pertain to data trust, security, and compliance (e.g., ITAR, CUI).

PREFERRED QUALIFICATIONS

• Experience in highly regulated industries (e.g., defense, aerospace).
• Direct experience integrating semantic layers with LLM agents or Digital Twin platforms.
• Certification in relevant data platforms (e.g., Palantir Foundry, Databricks).
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

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.
• 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 medical plans for you and your family, including a premium-free plan option, alongside 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.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
• Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for:

• 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture for distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high-stakes escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• Can travel up to 30% when needed

At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. 

PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our San Mateo team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.

Responsibilities:

• Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
• Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
• Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
• Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
• Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
• Debug and analyze test failures, model anomalies and report defects
• Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
• Develop and implement best practices for test automation that is highly scalable and maintainable
• Monitor test execution and optimize performance in test environments
• Come up with innovative solutions to organizational problems

Required Qualifications: 

• Bachelor's degree or equivalent
• 5+ years of experience as an SDET, with strong experience testing backend systems.
• Proficiency in Python/Java/Scala/go for test automation.
• Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
• Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
• Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation.
• Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
• Strong understanding of software development lifecycle (SDLC) and agile methodologies.
• Excellent problem-solving skills and excellent communication skills.

Preferred Qualifications:

• Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
• Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
• Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
• Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
• Experience testing online services with high RPS and low latency requirements
• Experience with performance and load testing tools (Locust, k6, Gatling, JMeter, etc.)
• Experience with Databricks or similar ML platform tooling

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

About The Role

AI is changing how GTM teams operate. Most companies are responding by buying a few licenses and hoping for the best. We want to do something different.

We're hiring a GTM AI Operations lead to embed within our RevOps team and rewire how our sales, marketing, and CS teams work. You'll find the biggest opportunities for agentic automation across the GTM org, build the workflows, own the context layer that makes AI actually useful, and make sure the whole team knows how to use what you build.

This space moves weekly, not quarterly. We need someone who's obsessed with staying on the edge of what's possible and has the instinct to turn what they learn into something the team can use tomorrow. You're equal parts builder and teacher.

What You'll Do

• Audit GTM workflows across sales, marketing, and CS to identify high-impact opportunities for AI and agentic automation.
• Design and build agentic workflows using tools like Clay, Claude, and Hightouch that replace manual busywork and accelerate pipeline
• Own the AI context layer. Build and maintain Claude skills, Glean knowledge resources, knowledge graphs, and other systems that make our AI tools smarter over time
• Stay obsessively current on new AI releases, models, and tooling. Prototype fast, cut what doesn't work, and bring what does back to the team
• Lead enablement across GTM teams. Train reps, marketers, and CSMs on new AI-powered workflows and drive sustained adoption.
• Work closely with the RevOps and Systems team to make sure everything you build plugs cleanly into the existing stack

Who You Are

• You've probably already built something with Clay or Claude that nobody asked you to build
• You've worked in RevOps, GTM Operations, or Solutions Engineering and understand how go-to-market teams actually operate day-to-day
• You're a learner first. You stay on top of AI releases, you experiment constantly, and you get excited when a new model drops because you immediately see how it applies
• You're also a natural teacher. You can take something complex and make it click for a rep who just wants to know how to close faster
• You're comfortable with APIs, prompts, and stitching tools together
• You thrive when there's no playbook. This role is new and you'll be writing the rules as you go

Nice To Have

• Experience building enrichment and outreach workflows with Clay
• Experience building with Claude, including skills, custom prompts, and agentic workflows
• Familiarity with knowledge graphs and building AI context layers (Glean, vector search, RAG systems)
• Background at a data or developer tools company
• Experience with Hightouch or the composable CDP / data activation ecosystem
• You've run internal enablement or training programs before and people actually showed up to the second session

Compensation

Hightouch's on-target earnings range for this position is $160,000 - $200,000 USD per year. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10-year post-termination exercise window.

The Role

Most AI-generated ads still look like AI-generated ads. Generic lighting, off-brand color, the same five compositions on a loop. Brands that care about their identity have stayed on the sidelines because the output hasn't met their bar.

We're changing that. Hightouch's Agentic Marketing Platform is the system enterprise marketers are using to plan, generate, and ship campaigns with their data, their guidelines, and their voice. Our customers include Domino's, Chime, Spotify, Ramp, Whoop, and Grammarly. They are not going to settle for slop, and neither are we.

We're hiring an AI Creative Designer to be the human who proves what's possible. You'll collaborate alongside our Solutions Engineering team on enterprise customer calls, translate brand guidelines into agentic workflows that actually produce on-brand work, and ship the creative that makes the case. You will be the most influential creative voice in the room, both for our customers and for our product.

You will define how the most recognizable brands in the world make ads with AI, and you will watch the work you direct ship to millions of impressions.

What You’ll Do

• Drive Product Adoption: Partner directly with enterprise marketing teams to onboard them onto the Agentic Marketing Platform Ads, ensuring they see immediate value through high-quality creative output.
• Master AI Workflows: Utilize advanced prompt engineering across leading generative AI models to create polished, on-brand, and performant ad creatives (imagery, video, and copy) tailored to complex client guidelines.
• Consult & Strategize: Act as a creative consultant for top-tier brands. You will help clients understand how to merge traditional brand guidelines with agentic AI workflows, ensuring the output maintains a high bar for "taste" and aesthetic quality.
• Performance Optimization: Collaborate with clients to set up A/B tests, analyze creative performance data, and continuously refine prompts and strategies to drive higher ROI and conversion rates.
• Cross-Functional Collaboration: Work closely with the product and engineering teams, providing ground-level feedback from enterprise clients to shape the future roadmap of our AI Decisioning and creative generation tools.

What You Bring

• A portfolio that does the talking: Real ads, real product launches, real campaigns. Ideally with AI integrated into the workflow, but the bar is craft. If your work is exceptional, we want to see it. (Applications without a portfolio link will not be reviewed.)
• Deep AI fluency: You don't need us to teach you what's new. You're already testing the latest image and video models the week they drop, you’re stringing them together in node based UIs, you have strong opinions about which ones get which jobs, and you know how to push them past their defaults to hit a specific look.
• Enterprise client instincts: You've worked directly with sophisticated marketing teams, in-house, agency, or consultancy, and you know how to navigate brand reviews, legal, and the politics of getting work approved.
• Performance marketing literacy: You understand the difference between an ad that wins a Cannes Lion and an ad that wins a CAC target, and you can hold both standards at once.
• Taste: This is the hardest one to write a bullet for, so we'll just say it: you have it, your portfolio shows it, and you can articulate why something works.

You might be a fit if you are...

• A Senior Art Director or Creative Lead at an agency who's frustrated with the pace, the layers of approval, and watching AI eat workflows you can't influence from where you sit.
• An in-house Creative Lead at a DTC or consumer brand who's been quietly building AI workflows nights and weekends, and is ready to do it as the job.
• A Creative Strategist at a Meta, Google, or TikTok partner shop who wants to be closer to the product and further from the deck.
• A product or brand designer at a fast-moving startup who's been pulled into ads work, found you're great at it, and want to go all-in on the AI side.
• Or you don't fit any of these neatly, but your portfolio is undeniable and you've been waiting for a role that takes AI in advertising seriously. Apply.

Why Hightouch?

You’ll be joining a fast-paced, high-growth environment where you can directly impact the success of some of the world’s most recognizable brands. You will be at the absolute forefront of AI in marketing, helping to define how the industry uses agentic models to drive real revenue.

Compensation

The salary range for this position is $140,000-$180,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10-year post-termination exercise window.

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.

#LI-GD1

Software Engineer II- Data Platform

Hybrid: San Diego

Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation’s data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

We’re looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You’ll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

Responsibilities

• Contribute to the development, testing, and deployment of high-quality code across the data platform

• Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity

• Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

• Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

• Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

• Participate in on-call rotation for production support and help troubleshoot critical issues

• Contribute to platform documentation and maintain clarity for internal consumers

• Present work in team demos and represent engineering contributions in internal discussions

• Follow best practices in testing, monitoring, and deployment to ensure platform reliability

• Continuously learn and apply new tools, patterns, and technologies in the data platform space

Requirements

• 3+ years of experience developing scalable, distributed systems

• Proficient in at least one language: Scala, Java, or Python

• Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

• Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

• Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

• Understanding of CI/CD pipelines, monitoring, and observability best practices

• Comfortable working in a globally distributed team

• Willingness to participate in production on-call rotations

Nice to Have

• Exposure to Databricks or similar unified data platforms

• Experience working with unstructured data formats such as images, video, or audio

• Familiarity with data cataloging, lineage, and metadata tools

• Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

• Knowledge of GCP or multi-cloud environments

• Curiosity and enthusiasm for tackling scalability and reliability challenges

Your First 90 Days

• 30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

• 60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

• 90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.

At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. 

PlayStation is seeking a Software Development Engineer in Test, ML to join our San Mateo team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.

Responsibilities:

• Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
• Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
• Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
• Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
• Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
• Debug and analyze test failures, model anomalies and report defects
• Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
• Develop and implement best practices for test automation that is highly scalable and maintainable
• Monitor test execution and optimize performance in test environments
• Come up with innovative solutions to organizational problems

Required Qualifications: 

• Bachelor's degree or equivalent
• 3+ years of experience as an SDET, with strong experience testing backend systems.
• Proficiency in Python/Java/Scala/go for test automation.
• Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
• Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
• Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation.
• Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
• Strong understanding of software development lifecycle (SDLC) and agile methodologies.
• Excellent problem-solving skills and excellent communication skills.

Preferred Qualifications:

• Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
• Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
• Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
• Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
• Experience testing online services with high RPS and low latency requirements
• Experience with performance and load testing tools (Locust, k6, Gatling, JMeter, etc.)
• Experience with Databricks or similar ML platform tooling

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.

#LI-GD1

The Senior Manager Internal Audit - IT is a strategic transformation leader responsible for the organization’s technology risk landscape. This role goes beyond traditional oversight; you will act as a technologist within the audit function, leveraging AI and data science to automate control environments while ensuring the digital backbone of our global operations—including Manufacturing and M&A integrations—remains secure, compliant, and efficient.

Individual contributor with significant leadership and cross-functional influence

Responsibilities: 

Innovation, AI & Audit Transformation

• AI-Enabled Control Testing: Architect and implement AI/Machine Learning models to transition from manual sample-based testing to 100% population testing.
• Annual SOX Audit: Lead SOX IT control design and operating effectiveness including identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment 
• Audit Workflow Automation: Leverage Generative AI and Robotic Process Automation (RPA) to automate the documentation of walkthroughs, drafting of audit reports, and the mapping of controls to regulatory frameworks.
• Continuous Control Monitoring (CCM): Partner with IT to build real-time dashboards that monitor key risk indicators (KRIs), moving the department toward a "continuous audit" model.
• Predictive Risk Insights: Use data signals to identify emerging risks in the Quote-to-Cash and Manufacturing cycles before they manifest as material weaknesses.
• Lead the development of automated risk-sensing capabilities and Key Risk Indicators (KRIs) within the ERM framework, leveraging data analytics to provide real-time assurance over tech-stack dependencies and third-party vendor ecosystems

Business Process & Systems Excellence

• Automated Control Testing: Review the automated controls within core value streams such as Quote-to-Cash (Q2C) and Procure-to-Pay (P2P) to ensure data integrity and system reliability.
• Annual SOX Audit: Lead SOX control design and operating effectiveness including ITGC’s,  identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment
• SDLC & Implementation: Perform pre- and post-implementation reviews for major system upgrades or ERP deployments to prevent "go-live" control failures.

Business Combinations & M&A Integration

• IT Due Diligence: Lead IT-focused risk assessments for business combinations, evaluating the target company’s security posture and control maturity.
• Post-Merger Integration (PMI): Direct the integration of acquired entities into the corporate Internal Control Framework (COSO), managing the risks associated with data migration and system cutovers.

SOX & Regulatory Compliance (GovCon Focus)

• ITGC Ownership: Lead the testing of IT General Controls (ITGC) and IT Application Controls (ITAC) for SOX 404 compliance.
• Regulatory Standards: Ensure IT systems meet stringent government contracting standards, including NIST 800-171, CMMC, and FAR/DFARS requirements.

You’d be a good fit with: 

Experience & Education

• Education: Bachelor’s degree in Management Information Systems (MIS), Computer Science, or Accounting.
• Experience: 8–10+ years of progressive experience in IT Audit, IT Risk, or Cyber Consulting (Big 4 or large-scale complex corporate environments preferred).

Technical & Professional Skills

• Certifications: CISA required. CISSP, CRISC, or CISM highly preferred.
• Framework Mastery: Deep understanding of COBIT, NIST, ISO 27001, and the COSO Internal Control Framework.
• Influencing Without Authority: Exceptional "executive presence" with the ability to translate complex "tech-speak" into actionable business risks for senior leadership and IIA Standards.

You’d be a great fit with:

• M&A Track Record: Proven experience managing IT control transitions during business combinations or system consolidations.
• Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting.“Nice-to-haves” / desired or preferred experience
• Modern Audit Toolkit: Hands-on experience with SQL, Python, or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents). 
• Systems & Data: Proficiency in ERP systems (Netsuite/Oracle, Snowflake/DataBricks)

Location: College Park, MD
Travel: Up to 25% 
Job ID: 1383

The approximate base salary range for this position is $128,445 - $167,497. The total compensation package includes base, bonus, and equity.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid 

MKTQ227R22

Reporting to the Senior Director of Demand Generation, this role is responsible for uniting cross-functional stakeholders to develop and execute the biannual, strategic, and integrated Demand Generation and Field Marketing plan. You’ll act as a central connecting point between go-to-market teams—ensuring we align with the company's overarching priorities and deliver measurable growth.

The impact you will have:

• Strategic Alignment: Lead collaboration across Demand Generation, Partner Marketing, Field Marketing, and other key leaders to articulate how integrated half-year plans roll up to company goals, securing executive alignment and approval.
• Business Driver/SME: Informs and champions transformational operational excellence: A strong, scalable, operating rhythm that drives accountability, transparency, and measurability throughout the campaign development process.
• Data-Driven Insights: Synthesize complex data and insights to guide executive decision-making and strategic adjustments.
• Forward Thinking: Advocates and prioritizes a roadmap, asks about the future of integrated campaign development, and identifies and prioritizes high-impact projects to help scale the organization effectively.

What we look for:

• 7+ years of professional experience, of which 5+ years of experience are in demand generation in a high-growth SaaS startup.
• Strong communication and stakeholder management skills; skilled at influencing across senior levels.
• Proven ability to build operational frameworks, manage budgets, and drive cross-functional alignment.
• Comfort working in dynamic, fast-paced environments and managing competing priorities.
• Analytical mindset with proficiency in data-driven decision-making and campaign performance analysis.
• Past experience working on integrated campaigns with expertise in end-to-end campaign development, execution, and measurement. 
• Prioritize and achieve in an environment that requires fresh thinking and new ideas. Strong growth mindset, having an open mind to new ideas and growth opportunities.

#LI-Onsite 

Who We Are:

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

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

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

About the Role:

We're looking for a Senior Telemetry Design Engineer to design the telemetry specs and frameworks that power our AAA games from early development through live operations. Operating within Central Services, you will bridge the gap between our Business and Technical Data teams. Your main goal: translate high-level business strategies into clear, actionable telemetry designs. By ensuring every data point we collect is tied to a specific business outcome, you'll empower our publishing and creative teams to drive growth and craft exceptional player experiences.

What You Will do:

• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.

What You Need:

• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.

Bonus Points:

• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

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

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

 Who We Are

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

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

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

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

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

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

#LI-Onsite

SLSQ127R420

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As the GTM Digital Native Programs Leader, you will operate as the de facto COO and scale pipeline and consumption  for th high growth Databricks’ Digital Native vertical. You will partner in a "two-in-a-box" model with the Industry GTM Leader to translate  strategy into durable, repeatable commercial execution across a rapidly scaling global field organization. You will work closely with sales and field engineering leaders to ideate, build, execute and scale global programs. 

You will play a critical role in shaping Databricks’ growth trajectory. You will be part of a lean GTM leadership that powers sellers to deliver measurable business outcomes through scale & leverage. You will be the lead orchestrator for your industry vertical, at the center of a mandate to inspire executives, drive industry outcomes, and unleash Databricks’ partner ecosystem in the high-growth SaaS space. 

The Impact You Will Have

Strategy & Operating Model

• Operating Model Ownership: Own and implement end-to-end op-model (across Sales, FE, Product, Engineering, Developer Relations, Partners) in a consistent global approach.
• Product-GTM Strategy: Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals to identify Big Bets in the digital natives space.
• Data-Driven Product Feedback: Synthesize learnings from internal (field, product, engineering, developer relations) & external (customer, partner, developers) stakeholders into durable best practices 

Market Presence & Influence

• Internal Executive Influence: Wield two-way influence on Databricks’ Field (Sales, FE, Business Dev), Product & Engineering leadership: i.e., reflect industry signals in product roadmaps, as well as translate product activation goals into verticalized industry programs
• Market Presence: Own and engage with technical & business customer and partner executives, build market presence to uncover signals on technical friction, business value and Databricks differentiators.

• Industry Evangelism: Serve as a visible evangelist & thought leader (e.g., open source advocacy, scaling AI adoption), representing Databricks’ at key customer, partner, industry and developer forums

Execution & Accountability

• Full-Funnel Program Design: Select & design the industry’s programs across products (and verticalize product programs) across the full funnel: demand generation → pipe creation & progression → consumption
• Asset Creation: Create high-quality and scalable program assets that will be used by the full field (Sales, FE, BD, Marketing, Ecosystem) at scale

• Field Activation & Community: Drive continuous field adoption of program assets and outcomes by cross-pollinating best practices across product and field teams in high-impact community cadences.
• Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.

• Outcome Measurement: Deliver commercial outcomes by establishing measurement and monitoring systems that track product telemetry, industry & partner program performance.

• Executive Accountability: Drive cross-functional leadership accountability for program adoption and outcomes through continuous monitoring and executive influence.

What We Look For

Strategic & Operational Mindset

• COO Mindset: Proven ability to act as the operational backbone of a business vertical, focusing on pipeline health, organizational efficiency, and execution.
• Strategic Execution: A track record of defining and translating complex industry strategies into durable, "field-ready" commercial motions for large organizations.
• Programmatic Vision: Experience developing global, scalable GTM frameworks - moving beyond "one-off" deals to create a scalable engine for growth.

Technical & Domain Expertise

• Technical Chops: Technical knowledge on Databricks critical for this market. Comfort with discussing  AI & LLM, Lakehouse, Lakebase, governance 

• Industry POV: A strong point of view on macro trends in high-growth SaaS and key persona triggers, helping to shape our industry advantage against peers.

• Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.
• AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).

Execution & Analytical Skills

• Full-Funnel Expertise: Deep understanding of sales play mechanics, including lead generation, pipeline progression, and consumption drivers.

• Scale Orientation: A "multiplier" mindset with a passion for activating large-scale field organizations and cross-pollinating best practices.
• Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.

Leadership & Scale

• Influence Without Hierarchy: Ability to influence & drive outcomes across senior executives & global teams via influence, clarity & presence versus direct reporting lines.
• Cross-Functional Orchestration: Skill in collaborating with Product, Engineering, and BD leadership to align product roadmap shifts with commercial requirements specific to high-growth SaaS customers.

Applied AI & Analytics Associate, Office of the CEO

Miami, FL | Office of the CEO — Data, Analytics & AI

You Don't Wait to Be Asked. Neither Do We.

At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency.

We're hiring an Applied AI & Analytics Associate to sit inside the Office of the CEO. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll work directly alongside the VP, Chief of Staff to the CEO and senior leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward.

If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.

What You'll Actually Do

You will be an analytics and AI professional embedded in the Office of the CEO, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions.

This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now.

On any given week, you might:

• Partner with the VP and Chief of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
• Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
• Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
• Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
• Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
• Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
• Introduce better analytical methods and tools to raise the quality and consistency of output across teams
• Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
• Connect the dots between data from multiple functions to surface insights no single team could see on their own
• Help support and review work from junior analysts or co-ops, contributing to their development

This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work.

What It Takes to Win Here

Must Have:

• 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
• Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
• Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
• Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
• Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
• Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
• Experience managing multiple workstreams and delivering against timelines with limited oversight
• Previous project or program management experience — managing scope, timelines, and cross-functional coordination
• Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
• Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change

Even Better If You Have:

• Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
• Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
• Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
• Prior exposure to working alongside executive or senior leadership teams
• Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Tools & Stack

• Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus
• BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency in at least one platform
• Data Platforms: Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks)
• AI & Automation: Production experience with LLMs, generative AI, or automation tools — not just familiarity, but deployed solutions
• Collaboration Tools: Slack, Jira, Asana, or similar for cross-functional coordination

Why This Role, Why Now

SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done.

This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function.

If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 7+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG
• Understanding of compliance standards: SOC 2, HIPAA, GDPR, FedRAMP

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 225k - 315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

P-226

As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

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.

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

• Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
• Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
• Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
• Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
• Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
• Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
• Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
• Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

What You Bring

• 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
• Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organizations depend on.
• Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale.
• System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
• Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
• Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
• You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
• Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time.
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to Have: 

• Experience founding or scaling an FDE/solutions engineering function. 
• Technical founder background. Databricks, AWS Bedrock, or Temporal experience. 
• Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).

About the Role

The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems.

This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

What You'll Do

• Build the AI Platform Foundation: Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease.
• Standardize the AI Developer Path: Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale.
• Engineer AI Trust & Safety Systems: Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, and deterministic performance expected by our enterprise partners.
• Drive technical strategy: Partner with principal engineers to define the technical roadmap for Smartsheet’s AI infrastructure, making architectural decisions that will shape how we build with AI for years to come.

What We're Looking For

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus

Strong Plus

• Prior work in an Applied AI or LLMOps platform within a product company
• Experience with the following:
• Kubernetes (EKS/GKE): The industry standard for AI. Skills include managing GPU scheduling, auto-scaling based on token throughput, and using tools like Karpenter for cost-efficient node provisioning.

• Infrastructure as Code (IaC): Using Terraform, Pulumi, or AWS CDK to provision Vector Databases, SQS queues, and S3 buckets.

• Vector Databases: Proficiency in managing and optimizing Pinecone, Milvus, Weaviate, or Databricks Vector Search.
• AI Gateways: Building or configuring proxies (like LiteLLM or Kong AI Gateway) to handle rate-limiting, PII masking, and cost-tracking.

• LLM Observability: Setting up tracing tools like Langfuse, LangSmith, or MLflow to monitor "Time to First Token" (TTFT) and trace hallucination issues.
• Model-Based Evals: Implementing automated scoring systems (like RAGAS or DeepEval) that use an "LLM-as-a-Judge" to grade production outputs.

Smartsheet is building the next generation of AI-powered work management through SmartAssist, our intelligent agent platform. As we scale from early demos to production-grade agents, quality is the critical frontier and we are looking for a Agent Quality Engineer to own it.

This is not a QA role. It's a deeply technical, high-autonomy position at the intersection of LLM evaluation, prompt and context engineering, and retrieval-augmented generation. You will diagnose why our agents fail, design the systems that catch regressions, and drive measurable improvements across our orchestrator and subagent fleet.

You will work closely with our Agent Engineering and AI Platform teams, embedded in a team that has already shipped evaluation infrastructure on Databricks/MLflow and is building toward a mature Agent Development Lifecycle (ADLC).

You Will:

• Own agent quality end-to-end: diagnosis, improvement, and validation across SmartAssist's orchestrator and subagents
• Identify failure modes across quality dimensions factual accuracy, completeness, tone, actionability, and latency and prioritize what to fix
• Drive quality improvements through prompt engineering, context engineering, and RAG retrieval tuning
• Extend and mature our evaluation framework: scorers, golden datasets, regression gates, and online evaluation for production traffic
• Close the feedback loop ensure that every change has a measurable, attributable quality signal
• Collaborate with our Agent Architecture lead to distinguish quality problems that require prompt/context solutions from those that require structural fixes
• Establish repeatable methodology that scales beyond any single agent or subagent

You Have:

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Fluency in agent system design, you don't need to own the architecture, but you can engage as a peer on architectural tradeoffs that affect quality
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Strong Plus

• Experience with MLflow or similar experiment tracking platforms
• Familiarity with CI-integrated evaluation pipelines
• Experience with multi-agent orchestration frameworks
• Prior work in an Applied AI or LLMOps function within a product company

What Success Looks Like:

In your first 6 months, you will have:

• Delivered measurable, validated quality improvement on at least one SmartAssist agent across our defined quality dimensions
• Expanded evaluation coverage to close the most significant blind spots in our current framework
• Established a repeatable quality improvement methodology the broader team can apply

Why This Role:

• You will have real ownership, not a supporting role on someone else's roadmap
• SmartAssist is shipping to real users; this work has immediate, visible impact
• You will be part of a fast-moving team that deeply values engineering rigor and actively seeks diverse perspectives

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

SLSQ327R23

As a Geo Hunter Account Executive on Databricks' Healthcare Sales Team, you are an accomplished sales professional experienced in selling to Mid-Market and Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 2-5 years of Mid-Market / Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Apache Spark™ and big data preferable
• Bachelor's Degree

FEQ426R758

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​

Impact you will have:

• Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).​
• Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.​
• Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.​
• Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.​
• Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.​
• Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.​
• Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.​
• Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.​
• Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.​
• Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.​

What we look for:

• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.​
• Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.​
• Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.​
• Background that blends:
• Hands-on technology and architecture work on data platforms and analytics.​
• Organizational and operating model change (ways of working, skills, governance).​
• Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.​
• Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.​
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.​
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.​

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

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

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

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

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

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About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

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