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

Our B2B Team

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

About the Role

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

You Will

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

About You

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

You Have

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

What Makes This Job Amazing

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

What You'll Earn and Enjoy

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

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

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

More About Noom

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

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

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

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

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

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

We are seeking two QA Engineers - Online Banking (level II and Senior) to join our Online Banking and Mobile Banking teams. The level/title will be determined throughout the interview process based on skills/experience in relation to the role. You will contribute to developing test cases, building automation, and performing testing on the services and applications that make up Cross River's COS platform. The ideal candidate is a collaborative engineer with experience testing reliable, performant, and scalable services.

Responsibilities:

• Collaborate with internal and external teams to perform manual and automated testing across Online Banking and Mobile Banking applications
• Contribute to building and maintaining test automation across critical business domains
• Participate in planning, triage, and prioritization of testing activities
• Write and execute test cases for functional, regression, and API testing
• Identify, document, and track defects through resolution
• Actively contribute to a collaborative, quality-focused culture within the team

Qualifications:

• 3+ years of experience in quality assurance and test automation
• Working knowledge of C#; experience with Specflow/Reqnroll is a plus
• 1+ years of experience with SQL
• 1+ years of experience testing RESTful APIs
• Familiarity with CI/CD pipelines and version control (e.g., Git)
• Strong analytical and communication skills
• Experience working in banking, finance, crypto, or fintech is helpful but not required

#LI-KR1 #LI-Hybrid

Salary Range: $100,000.00 - $160,000.00

The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. 

The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic and structural foundation required to support them in the future. This role is critical to closing the gap between ingestion and insight and strengthening RSI’s enterprise data maturity. 

What You'll Do:

• Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases. 
• Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions. 
• Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets. 
• Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data. 
• Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization. 
• Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible. 
• Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring. 
• Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions. 

What You'll Bring:

• Bachelor’s degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience. 
• 5+ years of experience in data product, analytics infrastructure, or data modeling roles. 
• Stakeholder Management: 5+ years of experience partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products. 
• Analytics & Product Thinking: Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making. 
• Data Modeling: 3+ years of experience designing dimensional models, schemas, and semantic layers for analytics or reporting use cases. 
• ML Awareness (Foundational): General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development. 
• Technical Proficiency: Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets. 
• Documentation & Governance: Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy. 
• Able to travel occasionally both domestically and internationally. #LI-REMOTE 

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Primary Responsibilities

• Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
• Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
• Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
• Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
• Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
• Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
• Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
• Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
• Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
• Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
• Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
• Other duties as assigned

Education/Experience/Skills

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
• 5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
• Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
• Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
• Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
• Experience operating in a regulated environment and following GxP or similar compliance processes
• Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID

#LI-CS1

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Senior Manager, Field Force Effectiveness, will support Acadia’s commercial field teams within the Neuroscience franchise with strategic insights and data-driven recommendations. This role is critical in helping sales leadership to drive performance, identify opportunities within local geographies and support deployment strategies, including targeting, alignment and call-plan. This individual will collaborate closely with Sales, Marketing, Patient Support Services, and other cross-functional teams to help shape commercial decisions.The ideal candidate combines strong analytical capabilities with deep commercial understanding and the ability to influence cross-functional stakeholders in a highly regulated environment.

Primary Responsibilities

• Analyze sales performance, promotional effectiveness, and sub-national market trends to inform commercial sales leadership on strategy, tactics, and business planning activities
• Optimize targeting & segmentation (HCPs, IDNs, accounts)
• Align field activity with brand strategy and lifecycle priorities
• Evaluate and refine reach/frequency and HCP engagement models
• Provide insights on territory performance, sales force effectiveness, and targeting optimization to support field force initiatives
• Collaborate across functions on strategic Omnichannel Campaigns and/or triggers, working closely with Field, Marketing, IT and Advanced Analytics
• Work with large datasets (e.g., internal HUB/SP, IQVIA, claims data, etc.) to develop & enhance dashboards, KPIs, business reports, presentations and run ad-hoc analysis
• Collaborate with field leadership on the administration and execution of sales force deployment activities including processing territory alignments, targeting, and call-planning efforts
• Support Brand Planning and Business Reviews, by partnering with field leadership and Neuroscience Brand teams
• Conduct pre/post analysis of field initiatives, field activities, and local market dynamics to assess impact and ROI
• Maintain data integrity and ensure alignment with compliance and regulatory standards
• Implement advanced analytics (predictive modeling, next-best-action)
• Translate data into clear, actionable insights for leadership and reps
• Perform other duties as assigned

Education/Experience/Skills

Bachelor’s degree in Data Science, Business, Economics, Statistics, Life Sciences or related field. Targeting 6+ years of progressively responsible experience in analytics or business insights within the pharmaceutical or biotech industry. An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Strong analytical skills with experience working with pharmaceutical data sets (e.g., internal HUB/SP, IQVIA XPT/DDD, Longitudinal claims data, CRM)
• Advance Proficiency in Excel, SQL, and BI tools such as Power BI, Tableau
• Working knowledge of sales operations, field force structure, marketing operations and/or commercial models in pharmaceuticals
• Strong communication with the ability to translate data into actionable business insights
• Experience collaborating cross-functionally with Sales, Marketing, Market Access, and Patient Services
• Strong project management and organizational skills
• Experience with CRM and analytics tools (e.g., Veeva CRM, BI tools)
• Experience in specialty or rare disease pharmaceutical markets is strongly desired
• Knowledge of data privacy regulations and compliance in healthcare analytics
• Must be able to travel domestically on occasion

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

Please note that this position can be based in Princeton, NJ, San Diego, CA, or San Francisco, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director, Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining, building, and scaling the analytics capabilities, data strategy, and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data, advanced analytics, and AI enabled insights are seamlessly integrated into commercial strategy, planning, launch execution, and in market optimization.  The Sr. Director serves as a strategic partner cross-functionally, translating business priorities into scalable analytics products and platforms while ensuring governance, compliance, and measurable business impact.

Over time, this role will build and mature commercial advanced analytics and data capabilities, establish fit‑for‑purpose operating models, and define future talent and capability needs to support the evolving business. The role will work closely with Acadia’s AI team, which provides shared AI expertise across Commercial and R&D, as well as with IT teams responsible for enterprise data, infrastructure, and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision, strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects, predictive analytics, and AI/machine learning solutions  supporting brand strategy, launch planning, patient support, segmentation, targeting, omnichannel optimization, and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action, customer engagement optimization, automated forecasting, and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable, validated, and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases, models, and decision frameworks.

• Ensure analytics outputs and insights are actionable, adopted, and embedded into commercial planning, existing workflows, processes, systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership, influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify, prioritize, and scale high-value AI and advanced analytic capabilities, solutions and governance.

Data Strategy, Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition, implementation, and evolution of the commercial data assets, including syndicated claims, EMR, prescription, HUB/SP/Partner, promotional, and digital data.

• Partner cross-functionally with Enterprise Data, IT, and infrastructure teams to enable scalable data platforms, data pipelines, and tools that support analytics, AI, and self-service insights.

• Oversee vendor selection and management for data sources, analytics tools, and platforms.

• Establish governance frameworks for data access, analytics validation, and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA, GDPR, CCPA, and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture, platform standards, security requirements, and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams, ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling, visualization, and business impact measurement.

• Build, lead, retain and mentor a high-performing team and capability in support of advanced analytics, data acquisition, and data governance, while fostering a culture of accountability, continuous improvement, and innovation.

• Assess and evolve organizational capabilities, talent, and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in data science, statistics, engineering, computer science, or a related field; Advanced degree (MS, PhD, or MBA) preferred.  Targeting 12 years of progressively responsible experience in commercial analytics, data science, or data infrastructure data strategy, or related functions, with significant experience in biotech or pharmaceutical organizations.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics, modeling, and visualization tool experience (AI/ML, predictive analytics (Python), SQL, R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g., Snowflake, Databricks, DataRobot, Dataiku, AWS, Azure, GCP).

• Deep experience and understanding of commercial datasets, data environments, and data vendors (including Hub, Specialty Pharmacy, patient services, Veeva CRM, syndicated claims, prescriptions, payer, social media/website, Google, Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches, brand planning, and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences, aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication, data storytelling, and change leadership.

• Demonstrated impact of analytics on commercial strategy, decision making, performance, and ROI.

• Proven ability to lead, coach, and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

Summary:

• Full stack Developer with 5+ years of experience in Angular 10+, TypeScript, .NET Core, C#, Azure SQL
• Proficiency working in Angular SPA applications
• Experience in Server-side technologies like .Net Core to build RESTful web services
• Experience working with Azure cloud technologies and services.
• Experience delivering serverless cloud solutions using PAAS model
• Experience using Azure App Service, Azure SQL, Service Bus, API Gateway Management, etc.
• Experience writing SQL Stored Procedures, Functions and ability to troubleshoot performance issue with SQL queries.
• Exposure to Microservices design patterns like pub/sub messaging, synchronous/asynchronous communication, etc.
• Experience with distributed version control systems Azure DevOps/Git
• Any Azure cloud certification from Microsoft preferred
• Experience or exposure to Agile development methodology
• Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Architect & Maintain: Lead the design, architecture, and enhancement of our LLM-based platform. You will be responsible for high-level technical decisions regarding the python or Node.js and React ecosystem.
• Technical Strategy & Collaboration: Work closely with product managers and stakeholders to translate business vision into scalable technical requirements. Lead cross-functional alignment between engineering teams.
• System Performance: Architect applications for extreme speed and reliability. Own the strategies for scaling to handle high traffic and complex real-time data processing.
• Security Leadership: Design and oversee robust authentication and authorization frameworks (Identity Server, OAuth2, OpenID Connect). Ensure the platform meets enterprise-grade security standards for data protection.
• Engineering Excellence: Set the standard for clean, maintainable, and testable code. Lead rigorous code reviews and establish "best practice" guidelines for the entire engineering team.
• Mentorship & Team Growth: Actively mentor junior and mid-level developers. Drive a culture of technical growth, peer learning, and collaborative problem-solving.
• AI Innovation: Stay at the bleeding edge of AI/LLM trends. Beyond application, you will evaluate and integrate emerging tools to enhance product intelligence.
• Operational Reliability: Lead the troubleshooting of complex, systemic issues across the stack. Implement proactive monitoring to ensure high availability.

Qualifications:

• Experience: 4+ years of professional software development experience, with a proven track record of leading complex full-stack projects.
• Front-End Leadership: Solid knowledge of React, modern JavaScript (ES6+), and state management patterns at scale.
• Backend & Architecture: Python or Node.js, Express.js, and designing scalable Microservices architectures.
• Database Mastery: Advanced experience with SQL and NoSQL databases, including performance tuning and schema design for high-load environments.
• AWS Infrastructure: Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform/CDK) is a plus.
• Process Excellence: Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership.
• Advanced Problem Solving: Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows.
• Soft Skills: Great communicator with the ability to influence technical direction and manage stakeholder expectations.
• LLM/AI experience: Professional experience or deep technical projects involving Large Language Models, Prompt Engineering, or RAG (Retrieval-Augmented Generation) workflows.

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary:  The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience : 

• 8–12 years of overall experience.
• 3+ years in consulting or client-facing analytics roles.
• 3+ years of experience in CPG or adjacent commercial analytics environments.
• Proven experience engaging with senior stakeholders and leading client conversations.
• Strong track record in data science, statistics, and machine learning

Role & Responsibilities :

• Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
• Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
• Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
• Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution and customer engagement
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Primary Skills (Mandatory)

• Strong foundation in ML and statistical concepts.
• Proficiency in SQL, Python, and PySpark.
• Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
• Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
• Ability to convert rigorous analysis into strategic recommendations.
• Strong project management, communication, and team leadership skills
• Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space

 Secondary Skills (Good to have):

• Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
• Data engineering / MLOps experience.
• Dashboarding experience with Power BI or Tableau
• Exposure to Agentic AI / LLMs or any other Gen AI capabilities

FEQ227R259

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 8+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We're Looking For

We are looking for a Software Engineer II to focus on solutions for our  AI Transformation team. You will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. With guidance from your Engineering Manager and a Senior Software Engineer, you will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and write the code that solves real problems. You will work closely with other software and QA engineers in and outside of your team. We are looking for someone who has worked within ambiguity, and seeks out and applies strong engineering disciplines to deliver sustainable, AI-centered or augmented outcomes.

Responsibilities:

• Design, develop, and deliver scalable software modules and components
• Build backend systems using a mix of technologies. Languages may include C# (.NET 10), Python, and JavaScript/TypeScript. Databases may include PostgreSQL and SQL Server. Infrastructure includes AWS, Docker, and Kubernetes
• Implement, test, and iterate on software solutions that address both short-term and long-term considerations with a maintainable, sustainable mindset

Qualifications:

• 4+ years of experience developing enterprise systems in modern, current object-oriented languages, with at least 2+ years of C#
• 2+ years of experience with SQL, preferably PostgreSQL or SQL Server
• Experience working with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor)
• Database persistence frameworks (e.g. nHibernate, Entity Framework)
• Strong communication skills
• Experience or understanding of Domain Driven Design
• Cloud Architecture - preferably AWS
• Docker / Containers
• Financial industry / accounting experience or understanding is helpful, but not required
• Experience designing and developing distributed systems and event driven architecture is preferred. Ideally with understanding or exposure to:  
• MassTransit or NServiceBus
• RabbitMQ
• Idempotency

#LI-KR1 #LI-Hybrid

Salary Range: $130,000.00 - $170,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

We are seeking a QA Engineer II to join our Online Banking and Mobile Banking teams. You will contribute to developing test cases, building automation, and performing testing on the services and applications that make up Cross River's COS platform. The ideal candidate is a collaborative engineer with experience testing reliable, performant, and scalable services.

Responsibilities:

• Collaborate with internal and external teams to perform manual and automated testing across Online Banking and Mobile Banking applications
• Contribute to building and maintaining test automation across critical business domains
• Participate in planning, triage, and prioritization of testing activities
• Write and execute test cases for functional, regression, and API testing
• Identify, document, and track defects through resolution
• Actively contribute to a collaborative, quality-focused culture within the team

Qualifications:

• 3+ years of experience in quality assurance and test automation
• Working knowledge of C#; experience with Specflow/Reqnroll is a plus
• 1+ years of experience with SQL
• 1+ years of experience testing RESTful APIs
• Familiarity with CI/CD pipelines and version control (e.g., Git)
• Familiarity with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor)
• Strong analytical and communication skills
• Experience working in banking, finance, crypto, or fintech is helpful but not required

#LI-KR1 #LI-Hybrid

Salary Range: $110,000.00 - $140,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We’re Looking For

We are looking for an Engineering Manager to lead and grow our AI Transformation team (official title: "AVP, Engineering").. This is a hands-on leadership role—approximately 60% engineering and 40% people and project management—where you will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. You will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and determine the most efficient path to solutions. You will guide your team and partners through a solution journey, ensuring the business comes along every step of the way. We are looking for someone who thrives in ambiguity, identifies high-impact opportunities—from quick wins to complex, less obvious challenges—and applies strong engineering discipline to deliver sustainable, AI-centered or augmented outcomes.

People & Project Management Responsibilities (~40%):

• Lead, mentor, and support a small team of engineers and QA professionals with empathy, trust, and a focus on individual growth
• Foster a culture that promotes sharing ideas, taking calculated risks, and learning from setbacks
• Plan, triage, and prioritize work across multiple initiatives with lifecycles ranging from two weeks to three months
• Guide business partners through the solution journey—helping them understand tradeoffs, come along with the process, and stay focused on the problem rather than prescribing solutions

Engineering Responsibilities (~60%):

• Design, develop, and deliver scalable, flexible, and reusable components and solutions leveraging AWS AI tools and services and internally-designed components, evolving into a flexible, resilient, and reusable platform
• Utilize engineering best practices to implement AI-centered and augmented solutions with a sustainable, auditable, and maintainable mindset
• Collaborate with the AI strategy enablement team to adopt, adapt, and optimize the latest AI tools for real-world business problems
• Document solution architectures, design decisions, and technical approaches collaboratively with the team and stakeholders

Qualifications:

• 8+ years of experience in software engineering (a mix of front-end, back-end, API, security, and other best practices), with progressive leadership or management responsibilities
• 6+ years of experience with C#, .NET Core, and the Microsoft development ecosystem deployed via AWS
• 6+ years of experience in real-time data management (SQL, NoSQL, caching)
• 4+ years of experience in DevOps disciplines (GIT or Azure Devops, Terraform, Python)
• 3+ years of experience leading, empathetically managing engineering teams and interfacing with product and business organizations
• 2+ years of experience or strong interest in AI/ML tooling, integrations, and the practical application of AI to business problems
• Experience managing initiatives with short-to-medium lifecycles (weeks to months), in an ambiguous, fast-evolving, collaborative, and iterative environment

Ideal Candidate:

• Experience in the financial industry (FinTech or traditional banking)
• Loves ambiguity, energized by undefined problems and the opportunity to shape solutions from the ground up and identify next steps and actions
• Identifies potential to show impact quickly while also recognizing and tackling harder, less obvious challenges
• Focuses on understanding the “why” before jumping to the “how”

#LI-KR1 #LI-Hybrid

Salary Range: $180,000.00 - $210,000.00

Senior Database Administrator 

Role Summary:

Exiger is seeking a motivated, self-driven Senior Database Administrator who designs, builds and optimizes database, works within a continuous integration and delivery pipeline, and embraces test automation as a discipline. You will manage core transactional databases and cloud data platforms, ensuring they are secure, performant, resilient, and aligned with our data strategy. You’ll work closely with engineering, data, and security teams to support new product features, data initiatives, and ongoing operational excellence.

What You’ll Do: 

• Architect and evolve cloud-native data platforms for production and analytics (RDS, Snowflake, S3, Iceberg, Trino/Athena).
• Drive architectural changes to improve scalability and reduce cost, including migration to open, storage-centric designs.
• Own performance optimization across data workloads, partnering on query, schema, and data model improvements.
• Lead modern data architecture beyond traditional databases (data lakes, open table formats, decoupled compute).
• Design and own high availability, disaster recovery, and multi-region strategies, balancing resilience, performance, and cost.
• Apply FinOps best practices to analyze and optimize cloud data spend.
• Collaborate cross-functionally with engineering, infrastructure, and security teams.
• Promote DevOps and platform best practices (IaC, automation, self-service, lifecycle management).
• Define standards for scalable, reliable, and cost-transparent data storage and access.
• Ensure security, compliance, and governance across databases and lakehouse platforms.
• Mentor engineers and DBAs on modern, cost-aware cloud data architecture.

Technical Environment

• Cloud platforms: AWS, GCP, and/or Azure
• Managed and self-managed databases: Snowflake, MySQL, SQL Server
• Lakehouse environments: S3, Iceberg Tables, Trino
• Infrastructure-as-Code: Terraform, AWS CloudFormation
• Monitoring, alerting, and observability tooling: DataDog, Kibana
• High-volume, highly regulated datasets

What You Need: 

• 8+ years of experience in database administration with increasing ownership of cloud architecture decisions
• Deep expertise in cloud-based database design, cost and efficiency planning, performance tuning, and scaling strategies
• Hands-on experience with high availability, replication, backup, and disaster recovery in the cloud
• Strong understanding of cloud networking, security, and identity as it relates to data platforms
• Experience supporting enterprise SaaS platforms with strict uptime and compliance requirements
• Prior experience in compliance, risk, financial services, or data-intensive SaaS environments preferred

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off
• Industry leading health, vision, and dental benefits
• Competitive compensation package
• 16 weeks of fully paid parental leave
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity.