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Job Title: Application Programmer III Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 373902 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Warehouse Developer to join our dynamic team. The ideal candidate will have strong experience in data warehousing, OLAP platforms, Python, and SQL and a proven ability to architect and deliver scalable analytics solutions that enable enterprise reporting and decision making. Responsibilities: Design and implement robust, scalable ETL/ELT pipelines with data validation, quality checks, and observability. Architect and evolve data warehouse and OLAP platforms for internal analytics and client-facing reporting. Lead database design, dimensional and analytical data modeling, and data mart development. Optimize OLAP workloads through query tuning, indexing, partitioning, and data distribution strategies. Monitor and tune performance across distributed databases and analytics systems. Design, extend, and maintain data marts, metadata frameworks, and semantic layers. Manage version control and CI/CD for all data platform code. Collaborate with business and technology stakeholders to define requirements and enable effective analytics. Work with cross-functional teams to manage dependencies, define testing strategies, and maintain data quality. Promote software stability through documentation, code reviews, automated testing, and operational best practices. Required Skills & Qualifications: 10+ years of hands-on experience in database design, data modeling, and data engineering for large-scale analytics. Deep OLAP expertise with modern analytical databases such as Vertica, SingleStore, ClickHouse, or similar platforms. Strong knowledge of data warehouse architectures and analytical modeling (star/snowflake) and performance optimization. Expert-level SQL with experience optimizing complex queries on large datasets. Advanced Python for pipelines, automation, data processing, and backend services. Experience with ETL/ELT tools and frameworks such as Informatica or equivalent modern solutions. Proficiency in Unix/Linux and shell scripting. Strong capabilities in database performance tuning, monitoring, and troubleshooting. Excellent communication and stakeholder collaboration with analytical problem-solving skills. Proven ability to work independently and deliver under tight timelines. Preferred Skills: Experience with MCP-based services and cloud-native data platforms. Familiarity with scheduling tools such as Autosys. End-to-end DW/BI lifecycle experience in mission-critical environments. Knowledge of SDLC tools such as JIRA, Bitbucket, Ansible, and Jenkins. Hands-on experience with BI tools such as Tableau or Alteryx. Experience with real-time or near real-time analytics systems. Additional Details: Start: ASAP. Onsite: 3 days per week required. Interview process: Round 1 video with technical and hiring manager. Round 2 technical deep dive with team lead (onsite or video). Round 3 final discussion with senior leadership. Glider: Candidate ID Verification. Include current location and intended onsite location on resume. Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 10+ years in technology development with focus on databases, data warehouses, and analytics platforms. Financial Services or other regulated, data-intensive industry experience preferred. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please include your current location and intended onsite location.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a GTM Engineer at Nextdoor, you'll sit at the center of our revenue engine - connecting systems, data, and workflows across Sales, Marketing, and Customer Success. This is a highly cross-functional role that blends engineering, data, and business strategy to drive efficient, scalable growth. You'll be responsible for building the infrastructure and automation that powers the entire lead-to-revenue lifecycle. From designing clean, reliable data pipelines to deploying AI-driven workflows, your work will enable teams to move faster, prioritize smarter, and operate with precision. This role reports to the Head of Revenue Operations and partners closely with Sales, Marketing, Customer Success, Product, and Data/Engineering. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make This role is critical to scaling Nextdoor's go-to-market motion. By transforming fragmented systems and inconsistent data into a unified, intelligent engine, you'll enable faster execution, better decisions, and more predictable revenue growth. In this role, you will architect and scale the systems that underpin Nextdoor's go-to-market motion. You'll replace manual processes with intelligent automation, ensure data integrity across platforms, and unlock actionable insights that drive revenue growth. In this role, you will architect and scale the systems that underpin Nextdoor's go-to-market motion. You'll replace manual processes with intelligent automation, ensure data integrity across platforms, and unlock actionable insights that drive revenue growth. Your work will directly improve sales productivity, enhance data trust, and enable better decision-making across the business. By unifying systems and data into a cohesive engine, you'll help accelerate pipeline generation, conversion, and customer expansion. What You'll Own • GTM Systems Integration & Automation: Design and connect systems across CRM, marketing automation, enrichment tools, and AI platforms. Build workflows that automate prospecting, lead routing, enrichment, and lifecycle management., • Data Pipelines & Infrastructure: Develop and maintain scalable ETL/ELT pipelines that ingest, transform, and sync data across GTM systems and the data warehouse. Ensure data is timely, reliable, and production-ready., • GTM Data Modeling & Quality: Build and own structured datasets across pipeline, funnel, lifecycle, and account models. Ensure CRM and downstream data is clean, enriched, and trustworthy., • AI & Workflow Implementation: Leverage AI tools and LLM-based workflows to enhance prospect research, lead scoring, and personalized outreach. Continuously improve performance through feedback loops and iteration., • Revenue Systems Engineering: Partner cross-functionally to design systems that identify high-fit prospects (ICP), improve conversion rates, and proactively surface churn and expansion opportunities., • Analytics & Reporting Enablement: Develop BI models and dashboards that provide real-time visibility into pipeline, conversion, and revenue performance. Establish consistent metrics and a single source of truth. Your responsibilities will include: • Build and automate end-to-end GTM workflows (enrich → score → route → engage), • Design and maintain data models powering scoring, forecasting, and lifecycle tracking, • Connect and manage the GTM tech stack across CRM, data platforms, and AI tools, • Implement AI-driven workflows that reduce administrative burden for Sales, Customer Success, Marketing, and Data teams - enabling more strategic prioritization, deeper customer research, and highly personalized communications, • Develop dashboards and datasets that enable self-serve analytics, • Monitor, debug, and continuously optimize systems and data pipelinesWhat You'll Bring To The Team, • 6–8+ years working in data engineering or analytics., • Advanced knowledge of SQL, including writing and optimizing queries in multiple dialects., • Experience working in the ads or monetization space., • Experience with Looker (preferred) or another BI/visualization tool., • Experience working with ETL/ELT pipelines., • Familiarity with CRM platforms (e.g., Salesforce, HubSpot), integration tools (e.g., Workato, Zapier), and enrichment/AI tools (e.g., Clay)., • Experience with BI tools (e.g., Looker or similar), including deployment and governance., • Experience building or deploying AI agents or workflows for GTM use cases., • Strong communication skills, both written and verbal., • Ability to understand, tackle, and solve problems from both technical and business perspectives., • Experience in effectively presenting insights and summarizing complex data to diverse audiences through visualizations and other means., • Demonstrated experience working with and delivering to cross-functional stakeholders from multiple parts of the company (Sales, Engineering, Data Science, etc.)., • Demonstrated experience driving projects end-to-end and can speak to outcome and impact., • A passion for community building, to inspire a more inclusive team and diversity of thought, both at Nextdoor and in your own neighborhoodsRewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. The base salary for this role is expected to range from $170,000 - $220,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job Description Role Overview: • Designing, building and maintaining efficient, reusable, and reliable architecture and code., • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.), • Ensure the best possible performance and quality of high scale data engineering project, • Participate in the architecture and system design discussions, • Independently perform hands on development and unit testing of the applications., • Collaborate with the development team and build individual components into complex enterprise web systems., • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle., • Responsible to identify and resolve any performance issues, • Keep up to date with new technology development and implementation, • Participate in code review to make sure standards and best practices are met. Key Responsibilities & Skillsets: • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Good communication skill for client interaction Application development Skillsets: • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience., • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises., • Programming experience with Python, Shell scripting and SQL., • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc., • Solid experience implementing solutions on AWS based data lakes., • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch., • Serverless application development using AWS Lambda., • Experience in AWS data lake/data warehouse/business analytics., • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS., • Knowledge of ETL/ELT., • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS., • Architect and implement CI/CD strategy for EDP., • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)., • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift., • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift., • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case., • AWS Solutions Architect or AWS Developer Certification preferred., • Good understanding of Lakehouse/data cloud architecture. Candidate Profile: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). Excellent problem-solving, communication, and organizational skills.

Job Description About us LifeMD is a leading digital healthcare company committed to expanding access to virtual care, pharmacy services, and diagnostics by making them more affordable and convenient for all. Focused on both treatment and prevention, our unique care model is designed to optimize the patient experience and improve outcomes across more than 200 health concerns. To support our expanding patient base, LifeMD leverages a vertically-integrated, proprietary digital care platform, a 50-state affiliated medical group, a 22,500-square-foot affiliated pharmacy, and a U.S.-based patient care center. Our company — with offices in New York City; Greenville, SC; and Huntington Beach, CA — is powered by a dynamic team of passionate professionals. From clinicians and technologists to creatives and analysts, we're united by a shared mission to revolutionize healthcare. Employees enjoy a collaborative and inclusive work environment, hybrid work culture, and numerous opportunities for growth. Want your work to matter? Join us in building a future of accessible, innovative, and compassionate care. About the role LifeMD is looking for a VP of Data & Analytics to own our data platform end to end and lead the analytics engineering team that powers decisions across finance, marketing, and operations. This is a senior technical leadership role for someone who is equally comfortable shaping a dbt architecture, partnering with our Chief Accounting Officer on revenue recognition, and presenting insights to the executive team. You will sit at the intersection of engineering precision and business strategy. The data our team produces feeds earnings support, board materials, financial forecasts, and operational dashboards — accuracy and reliability are non-negotiable. At the same time, you will drive how we use AI to surface insights faster and build internal tooling that amplifies the team’s output. What You Will Own Data Platform You will own the full analytics stack: Fivetran and custom Python ingestions, dbt for transformation, BigQuery as the warehouse, and Hex and Posit Connect for reporting and analytics applications. The stack runs on GCP. You are accountable for its reliability, cost, governance, and evolution. Responsible for ensuring data quality, lineage, and standardization throughout the data ecosystem, while collaborating with Finance, IT, and Security teams on the overall governance and control framework. Team Leadership You will manage a small team of analytics engineers and analysts organized by business function across finance, marketing, and operations. The work is analytics-engineering-forward — producing data that many downstream stakeholders depend on. You will hire, develop, and shape the team as the function matures. Revenue Recognition LifeMD operates across subscription, insurance, and direct-pay billing systems. A senior analytics engineer manages the day-to-day process; you are accountable for its accuracy, auditability, and architecture. You will partner closely with the Chief Accounting Officer and represent the data function directly to external auditors. Financial Modeling & FP&A Support You will contribute directly to financial modeling — cohort-based subscription forecasting, LTV, and budget vs. actual analysis. You will ensure FP&A always has clean, timely, trusted data to build on, and serve as a technical partner to the finance function. AI Analytics Platform You will maintain our in-house AI analytics platform as a production service, develop new functionality using AI-driven tools, and actively find new ways to surface insights with AI as part of the analytical toolkit. Engineering Partnership You will work closely with our engineering teams to inform data architecture decisions that align with analytics and reporting objectives. Executive Partnership You will work directly with the executive team to produce the data that supports strategy — KPI dashboards, board materials, earnings support, and ad-hoc analysis — and to make recommendations based on it. Requirements SQL & dbt Architecture. You write and review SQL at a senior level and have built or materially evolved a data platform on dbt and a cloud warehouse. You make architectural decisions about modeling, incrementality, testing, and governance. GCP Experience. You have worked on GCP in production, including BigQuery and surrounding services such as GCS, Cloud Run, and Cloud Scheduler. Finance & Revenue Recognition. You have owned or partnered closely on revenue recognition at a public company, and have contributed to financial modeling such as cohort forecasting, LTV, and unit economics. You can architect auditable data models and represent the data function credibly to accounting, auditors, and finance leadership. Python Fluency. You are comfortable in Python and can read and modify production code. You can maintain and extend data systems beyond the warehouse, including API integrations, scheduled jobs, and cloud infrastructure. AI Fluency. You have built internal tooling that uses LLMs. You use Claude Code, Cursor, or another AI-driven IDE for development and actively shape how AI gets woven into your team’s workflows. Data Engineering Leadership. You have managed small data or analytics engineering teams where the work sits closer to engineering than to BI, and where reliability matters because many stakeholders depend on the output. You hire, develop, and retain technical talent and coach individual contributors. Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (Roth 401k), • Life Insurance (Basic, Voluntary & AD&D), • Flexible PTO Policy, • Paid Holidays, • Short Term Disability, • Training & Development

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Key Responsibilities:Data Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description About Figure Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets. We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance. About The Role Figure is a financial technology company leveraging blockchain to transform the multi-billion dollar lending and capital markets industries. We are seeking a Chief Credit Officer to serve as the primary architect for our credit risk strategy across our growing suite of secured lending products. This role sits at the critical intersection of Capital Markets and Growth Strategy, requiring a leader who can balance aggressive innovation with responsible homeownership enablement. Unlike traditional banking roles, you will operate in a high-velocity environment where automation and systematic, data-driven logic are the foundation for radical top-of-funnel growth. You will be the primary point of contact for institutional relationships and agencies, ensuring our products maintain best-in-class execution for consumers and investors alike. What You'll Do • Lead an organization of credit professionals directly accountable for managing risk across a diverse lending portfolio, including Home Equity products., • Set enterprise-wide credit risk strategy across originations, pricing, portfolio management, and collections to drive the best outcomes for the lender and investor., • Chair the Credit Committee and engage directly with the CEO and Board of Directors on all credit-related matters., • Develop and iterate on proprietary loan products, leading risk analysis and consumer iterations to find perfect product/market fit., • Drive automation efforts to compress the funnel from application to final approval, utilizing technology to remove legacy industry inefficiencies., • Act as the primary liaison to regulatory bodies such as the OCC, FRB, and FDIC, ensuring all credit risk matters align with evolving supervisory expectations., • Oversee loss forecasting, financial modeling, and stress testing (CCAR) methodologies to provide senior management with thoughtful analysis of key credit drivers., • Build and manage relationships with investors, managing pricing, hedging, and warehouse functions. What We Look For • 15–20+ years of experience in credit risk management and portfolio oversight., • Extensive background in Mortgage and Home Equity credit risk, including LTV/CLTV management and valuation models., • Proven success working outside of a "Big Bank" environment for a portion of your career, thriving in agile, high-growth, or startup settings., • Demonstrated ability to develop a systematic secondary marketing group and manage primary/secondary market inefficiencies., • Advanced understanding of loss forecasting and the conceptualization of investment logic to automate credit decisioning., • Proven track record of managing remediation efforts and maintaining strong relationships with federal regulatory agencies. Salary • Base Compensation Range: $210,000 - $263,000/yr, • 25% annual bonus target, paid quarterly, • Company equity in the form of RSUs, • This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs Benefits • Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans, • Company HSA, FSA, Dependent Care, 401k, and commuter benefits, • Employer-funded life and disability insurance coverage, • 11 Observed Holidays & PTO plan, • Up to 12 weeks paid family leave, • Continuing education reimbursement This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate's experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. #LI-MM1 #LI-Remote

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Powered by JazzHR RdEDRGP9Ti

Job Description Myers-Holum is expanding the NSAW Practice and is actively seeking experienced Enterprise Architects with strong end to end data warehousing and business intelligence experience to play a pivotal role leading client engagements on this team. Enterprise Architect, Data Integration and BI Responsibilities: • Lead the strategic design, architecture, and implementation of enterprise data solutions, ensuring alignment with Myers-Holum's clients' long-term business goals., • Develop and promote the architectural vision for data integration, Business Intelligence (BI), and analytics solutions across a broad range of business functions and applications., • Design and build scalable, high-performance data warehouses and BI solutions for clients, utilizing the Oracle NetSuite Analytics Warehouse (NSAW) platform, NetSuite ERP, Suite Commerce Advanced (SCA) and other cutting-edge cloud-based and on-premise technologies., • Lead cross-functional teams in developing data governance frameworks, data models, and integration architectures that support seamless data flow across disparate systems., • Translate high-level business requirements into enterprise-wide technical specifications, ensuring that data architecture decisions align with broader organizational IT strategies and compliance standards., • Architect end-to-end data pipelines, data integration frameworks, and data governance models to enable seamless flow of structured and unstructured data from multiple sources (cloud and on-premise)., • Provide thought leadership in evaluating and recommending emerging technologies, tools, and best practices for data management, integration, and business intelligence., • Oversee the deployment and adoption of key enterprise data initiatives, ensuring scalability, security, and performance., • Engage with C-suite executives and senior stakeholders to communicate architectural solutions, ensuring alignment with enterprise goals and helping drive digital transformation initiatives., • Lead and mentor technical teams, fostering a culture of continuous learning and innovation in the areas of data management, BI, and integration., • Conduct architectural reviews and provide guidance on best practices for data security, compliance, and performance optimization., • Lead technical workshops, training sessions, and collaborative sessions with clients to ensure successful adoption of data solutions and foster strong relationships., • Contribute to the development of internal frameworks, methodologies, and standards for data architecture, integration, and BI., • Stay up to date with industry trends and emerging technologies to continuously evolve the enterprise data architecture. Qualifications and Skills: • 10+ years of relevant professional experience in data management, business intelligence, and integration architecture., • 6+ years of experience with designing and implementing enterprise data architectures, including data warehousing, integration, and analytics., • Extensive experience in leading cross-functional teams to deliver large-scale data solutions across multiple departments., • Proven expertise in cloud-based data architectures (AWS, Oracle Cloud, Azure) and hybrid solutions that integrate on-premise and cloud systems., • Proficiency in at least one data integration or pipelining tool (e.g., Fivetran, Talend, Glue, Nexla, Informatica) and deep understanding of the full data integration lifecycle., • Solid experience with at least one relational database (Oracle, SQLServer, MySQL, PostgreSQL, Snowflake) and its integration into enterprise architectures., • Expertise in BI platforms such as Oracle OBIEE, Oracle Analytics Cloud (OAC), PowerBI, Tableau, or similar tools, with experience architecting enterprise-level BI solutions., • Experience with FDI/FAW, ADW Single Sign-On (SSO) integration, including SSO with Oracle Cloud Infrastructure (OCI) and Microsoft Entra (formerly Azure Active Directory)., • Strong understanding of ERP systems, business processes, and how they integrate into enterprise-wide data solutions, preferably NetSuite ERP., • Hands-on experience designing REST APIs, GraphQL APIs, and other integration mechanisms to interface with cloud and on-premise data sources., • Experience with implementing data governance, data security, and compliance frameworks in large-scale enterprise environments., • Strong business analysis and stakeholder management skills, with the ability to translate business needs into technical solutions., • Exceptional written and verbal communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders., • Experience in leading enterprise-wide digital transformation initiatives and managing the full life cycle of data-driven projects. Why Become an MHIer Your Life at Myers-Holum & What you Can Expect: Do you desire collaboration? Are you ready to shape your future and positively influence change for your customers? If so, then it's time to join the MHI Team where you can own your individuality and collaborate with other curious and thought-provoking minds. Discover what you are capable of by paving your path through MHI using your expertise and discovering your true potential. Every MHIer is committed to our mission and operating principles; We remain curious as we lead with a genuine interest in people, ideas, and the unknown. We remain humble in knowing we can change how we currently do things and it is our ability to learn and grow that makes us a success. We remain resilient in understanding that success is not linear and that through reflection and a steadfast passion for betterment, we can continue our mindful and purposeful growth. A little about "Us" We've been around for 40 years. You'll get stability & growth with us. Myers-Holum is a technology and management consulting firm that was founded in 1981 and continues to grow year after year. Today we have over 400 remote employees sitting across ten countries; United States, Canada, Mexico, Chile, Uruguay, Philippines, Vietnam, India & Pakistan. The Partnerships we've built. Our cutting-edge technology partners include Oracle NetSuite, Stripe, Google Cloud Platform, Zone Billing, Celigo, and Boomi all working with us to provide the best customer experience throughout each implementation. Our Structure. We're a boutique firm with a strong internal framework. Our powerful model includes robust Sales, Solution Architecture, Resourcing & Enablement, Consulting, Project Management, Managed Services & Development, and Integration departments with subject matter experts sitting in each function. Our Employees. We're a company that recognizes we're only as strong as our people and each person who joins our firm contributes to our well-being. We strive to ensure all employees have a career path within Myers-Holum for both upward and lateral opportunities while maintaining a healthy work-life balance. We're growing and making waves along the way, join us on this journey! Our Benefits • MHI offers a competitive base salary, incentive pay, and comprehensive benefits including medical, dental, vision, retirement plan, and paid time off. Full package offerings are based on the Country in which you reside., • Company access to training and full coverage for certification/exam fees in a variety of products and professional skill sets, • Career growth and upward mobility to meet your long-term career goals with mid-year and annual reviews scheduled on a recurring basis, • MHI invests in our employee's health by offering a company medical insurance policy that covers 100% of premiums for the individual employee and manager's dependents with a ZERO deductible in the United States, • Remote working opportunity when not traveling for client requirements with full access to the team through technology Our Process: Our interview process is efficient and provides you with an opportunity to showcase your strengths, current abilities and share your future career aspirations while learning whether Myers-Holum would be a good fit for you. You will be paired with a member of our recruiting team who will handle all of the logistics as well as provide thoughtful feedback after each touchpoint to ensure you are kept within the loop from start to finish. Our recruiting timeline can be flexible to align with your circumstances; our typical timeline can take 2-4 weeks to complete however this can be adjusted or expedited depending on your needs. You can expect the following touchpoints when interviewing with MHI • 30-minute call with our recruiting team, • 60-minute video call with a MHI Team Lead, Delivery Manager, or Practice Manager, • 90-minute interactive "Case Study" session with a Delivery Manager or Practice Manager, • Executive leadership review and decision making We are dedicated to fostering a workplace environment that upholds and promotes equal employment opportunity, free from discrimination on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Our compensation ranges and packages are based on a wide array of factors unique to each candidate. It is not a common practice or guaranteed for an individual to be hired at or near the top of the range and compensation decisions are determined using a wide array of factors unique to each candidate, including but not limited to; skill set, years & depth of experience, certifications, and specific location due to cost of living & labor considerations; All of which will be considered during the interview and offer process. Salary ranges and incentive plans will differ in other countries in which MHI pays local currency.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • Collaborating with business / IT stakeholders and product managers to ideate software Requirements • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake, • Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‐generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‐driven decision‐making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‐related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‐source and vendor data‐lineage tools and contribute to long‐term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills., • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.Company DescriptionHealthix is a non-profit organization that works to improve patient care and manage population health. We securely aggregate patient health data from hospitals, labs, ambulatory care facilities and more and we share it amongst providers to improve clinical outcomes and enhance value based care delivery.Healthix is a non-profit organization that works to improve patient care and manage population health. We securely aggregate patient health data from hospitals, labs, ambulatory care facilities and more and we share it amongst providers to improve clinical outcomes and enhance value based care delivery.

Job Description WMS Architect WMS Experience geog Remote Role Summary: We are looking for highly experienced WMS Architect who will be responsible for designing, implementing, and optimizing Warehouse Management System (WMS) solutions to support end-to-end warehouse operations. Need to ensure that WMS solutions align with business requirements, are scalable, and integrate seamlessly with enterprise systems. Job Description: Role: Techno-Functional Consultant Overarching Key Responsibilities & Skills Demonstrate strong domain expertise in Supply Chain Distribution, including order fulfillment, inventory management, logistics, and warehouse operations. Design, develop, and maintain data models (ER models) to support system integrations, reporting, and analytics requirements. Develop, optimize, and maintain MS SQL queries, stored procedures, and data transformation processes to ensure efficient data handling. Analyze, document, and manage end-to-end data flows across ERP, WMS, and other enterprise applications. Ensure data quality, integrity, and consistency across integrated systems and platforms. Participate in and support system integrations involving ERP, WMS, and other upstream/downstream applications. Analyze and troubleshoot issues related to data mapping, data flow, and system interfaces to ensure seamless operations. Support and collaborate on middleware and API-based integrations, ensuring reliable system connectivity. Technical & Functional Expertise Advanced proficiency in MS SQL Server, including query development, stored procedures, and performance tuning. Strong understanding of Entity-Relationship (ER) modeling and database design principles. In-depth knowledge of data integration, data mapping, and enterprise-wide data flow architecture. Solid understanding of ERP supply chain modules, including Inventory Management, Order Management, and Logistics. Proven ability to bridge business requirements with technical solutions, ensuring practical and scalable implementations. Experience working in complex, multi-system environments, integrating ERP, WMS, and other enterprise platforms. Proven strong solutioning hands on experience in supply chain domains. Strong understanding of system integrations and data flows across enterprise applications. Travel / Relocation Requirements Willingness to travel as needed (approximately 1-2 times a quarter) to support client engagements and project implementations. Flexibility to collaborate with global teams across multiple time zones.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: As a Senior Marketing Performance Analyst, you will be the architect of our measurement strategy. You won't just report on what happened; you will define the "why" and "what's next." You will partner with Growth, Events, and Ops teams to build and expand a cohesive metrics framework that tracks the buyer's journey from the first digital touchpoint to a closed-won deal. Your mission is to ensure every dollar spent on events and digital tactics is measurable, optimized, and aligned with our long-term revenue goals. About the role: • Metrics Framework & Taxonomy: Partner with Marketing Operations, Growth, and Demand Gen teams to define KPIs, performance frameworks, reporting hierarchies, and custom attribution models to determine marketing's impact., • Goal Setting & Forecasting: Lead the annual and quarterly targets setting process. Use historical conversion data to build "reverse funnel" forecast models that tell us exactly how much traffic and lead volume is required to hit sales targets., • End-to-End Analysis: Analyze the performance of integrated campaigns, comparing the high-touch ROI of field events against the high-volume efficiency of digital channels (SEM, Paid Social, Content Syndication)., • Insight Synthesis: Move beyond dashboards to deliver executive-level narratives. You will present weekly updates, monthly/quarterly business reviews to Marketing and Sales leadership., • Data Instrumentation & Orchestration: Partner with Marketing Ops, Revenue Ops, Information Technology, and Data Engineering to ensure instrumentation and capture of data (from Customer Relationship, Marketing Automation, Web, ABM, and other platforms) flows into trusted data sets in our data warehouse., • Testing & Optimization: Design A/B testing frameworks to measure impact of digital and event tactics and continuously improve marketing ROI., • Scale Decision-Making: Drive the adoption of AI-driven, agentic insights across the marketing organization to enable faster, smarter decisions. Who You Are: • 5+ years in B2B marketing analytics, marketing / revenue ops, or consulting / creative agencies that support marketing., • You understand the nuances of the B2B "buying committee" and the "big deal" sales cycle., • Communication: Ability to translate "data speak" into "business speak" for non-technical stakeholders., • Stakeholder Management: You have the proven ability to change minds and influence decision making of key Marketing and Sales leaders., • Experience with:, • CRM/MAP: Expert-level knowledge of CRM and MAP data structures., • Visualization: High proficiency in Tableau Desktop., • Data: Ability to define requirements for integrated data sets from disparate data sources., • Attribution: Experience defining and utilizing multi-touch attribution tools. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love leading with a strategic mindset., • You're curious about utilizing data to provide insights that are measurable, optimized, and aligned with long-term revenue goals. You're an expert in CRM and MAP data structures Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Go-to-Market Engineer Location: New York City (Onsite) Work Model: In-person, Monday–Friday Industry: Security Technology / Enterprise SaaS Compensation: Competitive base salary, meaningful seed-stage equity About the Company Our partner is a fast-growing, venture-backed startup building the next generation of AI-driven enterprise security solutions. With strong early traction, backed by top-tier investors and an elite founding team including hardware engineers from Apple and a Head of Sales who previously scaled Frame.io from ~$2M ARR to acquisition, they're redefining physical security operations. The platform modernizes outdated, human-intensive security workflows by automating incident detection, response, and management, positioning them to become the industry's first truly AI-enabled Global Security Operations Center (GSOC). The Opportunity We're seeking a highly strategic Go-to-Market Engineer to architect, build, and scale the company's foundational outbound and go-to-market systems. Reporting directly to the CEO, you'll serve as a thought partner and technical leader—designing automated workflows, data-driven prospecting systems, and signal-based outreach engines. This role emphasizes technical expertise in building data warehouses, advanced automations, agent-based workflows, and overall pipeline generation infrastructure. You'll also influence revenue operations strategy and help scale the function into a broader growth operations team over time. If you're a builder at heart who enjoys turning raw data and creative strategies into scalable growth engines, this role offers significant autonomy, visibility, and leadership potential as the company enters rapid scale mode. Responsibilities • Architect, build, and manage automated outbound infrastructure, including data warehouse integration, enrichment systems, and advanced workflow automations., • Develop and deploy intelligent prospecting systems leveraging intent signals, competitor follower targeting, and other innovative growth tactics., • Partner closely with the CEO and senior leadership as a thought leader, contributing strategic insights to the company's broader go-to-market strategy., • Establish and optimize internal tools and processes to continuously improve pipeline generation, attribution, and conversion metrics., • Collaborate with future hires to scale the growth operations team, creating foundational playbooks and setting technical standards for execution., • Influence and support revenue operations initiatives, including CRM configuration, analytics infrastructure, and reporting. Requirements • 2+ years of experience in Go-to-Market Engineering, Growth Operations, Sales Operations, or similar roles at high-growth startups., • Deep technical expertise in automated workflow tools (Clay, Apollo, HubSpot, Outreach, or similar), data warehousing, and enrichment platforms., • Proven ability to design and build advanced growth and outbound prospecting systems from the ground up., • Comfortable serving as a strategic thought partner to senior leadership rather than requiring detailed directives., • Experience or familiarity with revenue operations processes, CRM systems, and analytics frameworks., • Located in or willing to relocate to New York City; comfortable working onsite in an energetic startup environment. Nice-to-Haves • Prior experience at a top-tier technology or growth-oriented company., • Background in enterprise SaaS or security technology., • Experience developing ABM programs, advanced signal-driven prospecting, or similar strategies.

Job DescriptionDescription: About the Role Affiliated Monitoring is seeking a visionary and hands-on Director, Head of Data Engineering to lead the evolution of our enterprise data capabilities. This is a critical leadership position responsible for architecting and implementing a modern data infrastructure—including our first enterprise data warehouse—to support our rapidly expanding needs in business intelligence, AI, and operational reporting. Our systems produce vast amounts of transactional data, which remain underutilized. You will spearhead the transformation of our data environment into a strategic asset—one that not only empowers decision-making but also fuels the next generation of AI-driven innovation. This role is both strategic and technical. You will start as a player-coach (approximately 50% hands-on), evolving into a leadership-heavy role (up to 75%) as you scale the team and build a future-ready data organization. If you're excited about the prospect of shaping a data strategy from the ground up, enabling machine learning and AI, and building a high-performance team, this is the opportunity for you. About Us At Affiliated Monitoring (www.affiliated.com), we protect what matters most. As a leading provider of personal and business security monitoring services, our work has real-life impact—helping people live safer, more independent lives. With over 40 years of profitable growth, we're a company where stability meets innovation. Our technology group operates like an entrepreneurial startup within a well-established business. We move fast, build smart, and take pride in creating reliable, scalable systems that power everything from mobile apps and APIs to real-time alerting and integrated web applications. As the security industry undergoes a digital transformation, AI will play a central role in our future—from automating workflows to powering predictive insights. The Director, Head of Data Engineering will be at the forefront of making this a reality. Key Responsibilities • Design and implement a modern, scalable enterprise data warehouse from the ground up, • Lead the development of a unified data architecture that supports operational reporting, business intelligence, and AI readiness, • Evaluate and select data platforms, tools, and technologies (e.g., Snowflake, dbt, Airflow) that support current needs and future innovation, • Partner with Engineering, Product, and Business stakeholders to understand data requirements and translate them into actionable architecture and pipelines, • Advance our ability to deliver self-service analytics across the organization, • Build and mentor a high-performing data team; foster a collaborative, agile, and innovation-driven culture, • Implement robust data governance, quality assurance, and security practices, • Develop and execute a strategy to support machine learning, natural language processing, and other AI use cases, • Stay informed on emerging trends in data engineering and AI, and integrate best practices into our roadmap, • Ensure data initiatives are delivered on time, within budget, and aligned with business goals Requirements: Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred), • Proven success in leading data teams and scaling data infrastructure, • Hands-on expertise with modern data stacks (Snowflake, dbt, Airflow, AWS, Looker, etc.), • Experience delivering enterprise data platforms that power internal analytics, external products, and AI/ML use cases, • Strong business acumen; able to translate technical vision into business impact, • Excellent leadership, project management, and communication skills, • Demonstrated ability to work cross-functionally and influence at all levels Why Join Us • Be the architect of a next-generation data ecosystem in a fast-evolving company, • Play a pivotal role in enabling AI and data science across our business, • Work alongside a talented, mission-driven team that values quality and creativity, • Enjoy high visibility and the ability to make a lasting impact on the future of the company, • Competitive salary and comprehensive benefits, • A culture that values work/life balance, team collaboration, and professional growth Benefits and Perks • Excellent health, dental, and vision insurance, • 401(k) retirement plan with company match, • Gym and fitness reimbursement, • Generous paid time off and holidays, • Corporate discounts and life insurance, • Team-building events, catered lunches, and more If you're ready to build something foundational that unlocks the full potential of our data—and to help drive the AI-powered future of security—we'd love to hear from you. Affiliated Monitoring is committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. Affiliated Monitoring is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

Job DescriptionDescriptionTL;DR Kharon is seeking a full-time Senior Software Engineer based in New York City. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES:As the Tech Lead for our Growth team, you will own the design and delivery of internal applications and tooling that power our business intelligence capabilities. This is a "player-coach" role requiring a strong full-stack engineering foundation — you will be building production-grade applications while leading the direction for the squad. You will work alongside a Director of Data Analytics, QA/BA, and Director of Product, and cross-functionally with Marketing, RevOps, Sales, and Client Services. • Application Development & Architecture: Lead the design and development of internal web applications used by business teams to understand customer usage, account health, and operational metrics. Own the architecture to ensure services are modular, scalable, and performant (React/Vue frontend, Python/Java backend)., • API Development & Systems Integration: Build and maintain integrations with third-party platforms (Salesforce, HubSpot, and others) via REST and GraphQL APIs. Design clean service boundaries and ensure reliable data flow between internal and external systems., • Data Layer & ETL: Build and optimize pipelines to move and transform data into our warehouse. Implement robust schema designs for relational and graph databases. Experience with tools like dbt, Airflow, or AWS Glue is a plus — but the ability to architect the broader data layer matters more than tool familiarity., • User Administration & Access Management: Provide technical leadership for internal and external user administration, ensuring secure, scalable, and intuitive account management., • Team Leadership & Best Practices: Mentor engineers, conduct code reviews, and establish engineering standards around API design, documentation, testing, and CI/CD. QUALIFICATIONS: • 8+ years of software engineering experience, with 2+ years in a technical lead or staff capacity, • Strong full-stack coding skills — Python or Java on the backend, React or Vue on the frontend — with production deployment experience, • Proven experience building and shipping internal tools or platforms, ideally supporting business teams like Sales, Marketing, or RevOps, • Solid SQL and relational database design skills; experience with cloud data warehouses (Snowflake, Databricks, or BigQuery) is a plus, • Experience building against third-party APIs, particularly Salesforce, • Comfortable with AWS, Docker, Kubernetes, and CI/CD pipelines, • Ability to translate ambiguous business requirements into a clear technical roadmap — this team is early and the problems aren't always fully defined ABOUT KHARON:Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Software Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances, • FSA program for both medical and dependent care, • Long term disability, • 401k + Roth with matching and immediate vesting, • Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $160,000 to $200,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit www.kharon.com/careers to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-Hybrid #LI-AG1

Job Description Job Overview We’re hiring a Forward Deployed Engineer (FDE) to serve as the bridge between a modern data product and the messy reality of enterprise customer environments. This is a high-ownership, technical, client-embedded role where you’ll deploy the platform with top customers, architect integrations across modern data stacks, unblock adoption, and feed what you learn directly back into the core engineering team. This is not traditional support and it’s not a lightweight solutions role—you’ll be expected to operate like a founding engineer inside the customer context, shipping real technical outcomes. Location / Work Model New York, NY (Hybrid) Client-embedded delivery (on-site and/or virtual depending on engagement) Responsibilities • Embed directly with high-value clients to deploy the platform and drive adoption end-to-end., • Run technical discovery and translate messy workflows into clear implementation blueprints., • Architect and implement integrations across common enterprise data ecosystems (e.g., Snowflake, AWS, Databricks, and customer-specific tooling)., • Own execution for multi-week “data missions” with multiple stakeholders, dependencies, and constraints., • Troubleshoot complex issues across data pipelines, permissions/security, reliability, latency, and data quality., • Establish strong delivery hygiene: documentation, handoffs, repeatability, and clear technical communication., • Provide a tight product feedback loop to core engineering: what breaks, what’s missing, what needs to be built next. Requirements (Must-Haves) • Strong customer-facing engineering background (forward deployed, solutions engineering, implementation engineering, or similar high-ownership delivery role)., • Proven ability to own technical outcomes inside complex enterprise environments., • Hands-on experience working with modern data platforms and tooling (warehouse/lakehouse, pipelines, compute, cloud infrastructure)., • Strong debugging instincts and systems thinking—comfortable being “dropped in” and finding root causes quickly., • Ability to design pragmatic architectures under real-world constraints (security, governance, access controls, cost, latency, messy upstream data)., • Excellent written and verbal communication with both technical and non-technical stakeholders. Nice to Have Deep exposure to any of: Snowflake, Databricks, AWS, Spark/EMR, streaming systems, governance/catalog tooling, or enterprise identity/security patterns. Experience supporting ML, risk, fraud, or decisioning systems (or other high-stakes, low-latency domains).

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem. You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready. This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on. We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today. Responsibilities • Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer, • Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts, • Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns, • Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model, • Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule, • Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data, • Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader, • Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve, • Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions, • Establish metrics that track progress, communicate priorities, and demonstrate business impact, • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data useRequirements, • 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams, • Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake, • Proficiency in Python (preferred) or another language strong enough to guide and review technical work, • Experience with workflow orchestration tools like Dagster, Airflow, or Prefect, • Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • This role requires 4 days per week in our NYC office (Flatiron District) Nice to Haves • Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST), • Experience with AWS cloud technologies, • Experience working in a startup environment, • Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries, • Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data, • Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on, • Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safeBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. The Head of Data & Analytics is a high-visibility, foundational role responsible for establishing the company's single source of truth for data across all functions. Acting as the analytical backbone of the business, you will ensure every critical metric is defined, governed, and reportable from one place — giving leadership the data clarity they need to make fast, confident decisions. You will translate raw data across a modern SaaS stack into a trustworthy, scalable intelligence layer that the entire organization can rely on. This role is designed for a seasoned data leader who excels at building from scratch — someone who can architect a data platform, establish governance standards, and be a genuine strategic partner to senior leaders – not just delivering data, but shaping decisions. You will connect data to business context, identify what matters, and provide clear, prescriptive recommendations. Reporting directly to the SVP of Business Operations, you will own the data infrastructure that underpins our next phase of growth. This role is intentionally hands-on to start. You will personally build and shape the foundation of our data platform while partnering closely with leaders across the business. As we scale, you will have the opportunity to evolve into a player-coach, building and leading a small but high-impact data team. In the first 6-12 months, you will: • Establish a clear, trusted definition of core company metrics across GTM, Product, Finance, and Customer Success, • Reduce reliance on manual reporting by automating high-impact workflows, • Build a scalable data model that connects our core systems into a coherent source of truth, • Enable leadership to access and trust data without needing constant ad hoc support What you can expect as the Head of Data & Analytics: • Build the single source of truth: Audit, rationalize, and own the company's data model end to end — from raw sources through transformation to consumption. Every key metric will have one definition, one owner, and one place to find it., • Identify the highest-impact manual reporting workflows across functions and automate them: Today, much of our reporting lives across spreadsheets and manual workflows, with no single owner of data. One of your first priorities will be to bring structure, consistency, and trust to this environment, and build a self-serve analytics layer that increases data trust and reduces ad hoc requests across the company., • Own executive and board-level reporting: Build and maintain the metrics layer that leadership, the board, and ultimately investors rely on — each defined, documented, and reportable from a single governed layer., • Mature the dbt layer: Partner with engineering team to audit existing dbt models, close gaps, and establish transformation standards that will scale the platform. You won't be coding alone, but you need to be fluent enough to review, direct, and govern the work., • Establish metric governance: Define the operating model for how metrics are created, changed, and communicated — including a cross-functional process for resolving metric disputes and maintaining a company-wide data dictionary that becomes the authoritative reference., • Build a scalable, auditable data foundation: Ensure our data is structured, documented, and fully traceable from source systems to reported metrics. Establish clear data lineage, metric definitions, and governance so leadership can rely on data with confidence as reporting needs become more complex., • Act as a strategic partner to senior leadership: Show up to QBRs, pipeline reviews, and planning cycles with a clear point of view on what the data means and what the business should do next. Be the person who changes decisions — not by reporting the data, but by interpreting it and making actionable recommendations., • Cross-functional data leadership: Partner with all functions to ensure their data needs are captured, while also challenging assumptions, refining questions, and guiding teams toward the metrics and analyses that drive better decisions., • Drive insight and action, not just visibility: Go beyond building dashboards to proactively identify trends, risks, and opportunities across the business. Translate data into clear recommendations and influence leaders on what actions to take — even when it challenges existing assumptions or priorities. To thrive in this role you have: • 7-10+ years in analytics, analytics engineering, or a senior BI role with hands-on data modeling experience, including experience owning or significantly shaping a company's data model or analytics infrastructure, • Experience building and governing a BI layer (e.g., Looker, Tableau): you know what good looks like, what breaks at scale, and how to make a BI tool something people actually use., • Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift): Warehouse management, schema design, cost monitoring — you understand the platform and can make architectural decisions on it., • dbt fluency: You can read, write, review, and govern dbt models. You understand staging, intermediate, and mart layer design, and you have strong opinions about what belongs where and why., • Strong SQL: Window functions, CTEs, and performance optimization are comfortable ground. You write modeling SQL, not just analytical SQL., • Broad business fluency and SaaS literacy: You understand the operational levers of a SaaS P&L - ARR, NRR, churn, CAC, LTV, product velocity, product adoption, as well as financial levers, such as unit economics, financial performance ratios, financial analysis., • Track record of strategic partnership: You have been in rooms with senior leaders and said things that changed decisions — not because you were asked, but because the data told you something important. You elevate data from reporting to a strategic asset that shapes how the company operates and makes decisions., • Comfort operating without formal authority: You can direct an analytics engineer you don't manage, get a VP to prioritize data quality, and get Finance to adopt a metric definition they initially resisted., • Strong prioritization instincts: You focus on the highest-impact problems and avoid over-engineering, balancing speed with long-term scalability.Strongly preferred if you have:, • Experience building from scratch: You have built a data function, a data layer, or a centralized reporting infrastructure at a company that previously had none. You know how to sequence the work and how to manage stakeholder expectations during the build phase., • Salesforce data model familiarity: You understand how CRM objects map to business concepts and how to extract Salesforce data reliably into a warehouse environment., • Product analytics experience: You have worked with Mixpanel or a comparable tool and know how to join event-level product data with CRM and financial data to create a complete picture of customer behavior., • C-suite and investor exposure: You know what executives and investors ask for and what breaks under that scrutiny., • CS analytics background: Experience with customer health scoring, adoption reporting, proactive value engineering, or churn prediction data models, is a meaningful plus., • Background in FP&A, investment banking, or management consulting before moving into data — brings structured analytical thinking and executive communication skills. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages., • Appreciate the Difference - VTS embraces and celebrates diversity. We understand the importance of a strong work-life balance. We offer a flexible PTO policy, generous family leave program, and more!ABOUT VTS VTS is the only AI-driven technology platform enabling intelligent real estate by unifying industry professionals, investors, and their customers at scale. In 2013, VTS revolutionized commercial real estate leasing operations with what is now VTS Lease. Today, VTS AI is the largest first-party insights and collaboration engine in the industry, transforming how strategic decisions are made and executed by the real estate industry globally. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $190,000 and $250,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at ta@vts.com Privacy Policy

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills., • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Benefits SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem. You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready. This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on. We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today. Responsibilities • Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer, • Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts, • Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns, • Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model, • Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule, • Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data, • Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader, • Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve, • Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions, • Establish metrics that track progress, communicate priorities, and demonstrate business impact, • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data useRequirements, • 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams, • Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake, • Proficiency in Python (preferred) or another language strong enough to guide and review technical work, • Experience with workflow orchestration tools like Dagster, Airflow, or Prefect, • Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • This role requires 4 days per week in our NYC office (Flatiron District) Nice to Haves • Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST), • Experience with AWS cloud technologies, • Experience working in a startup environment, • Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries, • Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data, • Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on, • Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safeBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems) Location: Remote (North America) Compensation: $180,000–$320,000 base (location-independent) + equity Contact / Apply: aidan@nxtlevel.io About Our Client Our client is a modern AI platform for marketing and growth teams. Their AI agents are reimagining marketing workflows—helping teams create content, plan campaigns, and execute strategies with significantly higher velocity and performance. The company sits at the intersection of two major tailwinds: LLMs/agentic AI and the widespread adoption of cloud data warehouses (e.g., Snowflake and Databricks). They operate with high ownership, first-principles thinking, and a culture that values strong communication, growth mindset, and kindness. The Role Our client is hiring a Software Engineer, AI Agents to build and productionize agentic systems that help customers act on their data. This is a product-minded role for someone who can move quickly from prototype → production, is creative with LLM applications, and can architect reliable backend pipelines. You'll work on AI features that directly power customer workflows—especially around analytics and data questions—and you'll partner closely with product to translate ambiguity into elegant systems. What You'll Work On Rapidly iterate on proofs of concept (POCs) to explore the ceiling of AI in data + marketing workflows Make key decisions on LLM architecture and frameworks, balancing speed, reliability, and maintainability Build production “data agents” that use a company's warehouse data to answer analytics and data science questions about users and marketing performance Develop a deep understanding of user workflows and design seamless AI-assisted experiences (not just “chatbots”) Productionize LLM pipelines with strong engineering fundamentals: observability, evaluations, safety/guardrails, cost control, and performance What Our Client Is Looking For Strong backend and systems fundamentals (you can architect and ship end-to-end systems) Product intuition and customer empathy—you build for real workflows, not demos Creativity in applying LLMs/agents to practical problems Comfort operating in ambiguity and iterating quickly Strong communication skills and ownership mindset Note: Prior LLM experience is not required. The team values strong technical skills and product thinking most; you'll learn fast on the AI side if you have the fundamentals. Compensation Base salary: $180,000–$320,000 USD (location-independent within North America) Equity included (details shared in process) Interview Process This process emphasizes product sense, system architecture, and values alignment—without programming interviews. Recruiter Screen (30 min): Intro + mutual fit System Design Screen (60 min): Design a data processing feature end-to-end Hiring Manager Interview (30 min): Past experience + operating preferences + values alignment Agent Building Systems Interview (75 min): Architect an agentic system conceptually, incorporating product/customer requirements and technical constraints

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is looking for an experienced, highly motivated executive to define the global supply chain strategy for commercial fusion power. As Vice President - Supply Chain, you will serve as a strategic partner to the Company’s leadership, finance & operations, and technical teams to architect the procurement and logistics infrastructure necessary to scale from prototype to power plant. This role will have a high degree of autonomy, and the ideal candidate must be able to move quickly to secure and manage critical path components in a competitive global market.Key Responsibility Areas: • Strategic Leadership: Develop and execute the long-term global supply chain and procurement strategy to support Thea Energy’s rapid growth and commercialization roadmap, • Organizational Development: Plan the hiring strategy and build a world-class supply chain organization, inclusive of sourcing, subcontracts management, supplier management, inventory/warehouse and logistics, • Global Sourcing & Partnerships: Lead supplier and partner negotiations and establish strategic partnerships with suppliers of critical materials (e.g. superconductors, vacuum vessels, power electronics), • Process Architecture: Manage and develop company policies, programs, and procedures for inventory control, logistics, and vendor management, evolving these processes as the company grows, • Cross-Functional Collaboration: Work with the Company’s leadership to support employee growth & development and ensure supply chain needs are integrated into engineering and financial planning, • Culture Building: Employ strategies to build, maintain, and grow the Company’s workplace culture within the operations team, fostering diversity and inclusionIdeal Experience & Skillsets:, • Executive Experience: 15+ years of relevant work experience, with significant time spent in senior leadership positions managing and growing supply chain organizations, • Scaling Expertise: Proven ability to support businesses through growth periods, specifically transitioning from R&D to full-scale manufacturing, • Strategic Acumen: Proven organizational skills with the ability to manage multiple projects and priorities while maintaining the "big picture" strategic vision, • Negotiation & Communication: Excellent negotiation, communication, and collaboration skills, capable of interacting effectively with board members, technical leads, and external partners, • Startup Agility: Ability to thrive in a fast-paced, dynamic startup environment where speed and execution are critical, • Cross-Functional Leadership: Ability to work across cross-functional teams to support complex hardware challenges and recruitment needsCompany Benefits:, • Salary range: $160,000-$250,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Head of GTM Systems and Engineering in our New York City office. About the Role: The Head of GTM Systems & Engineering is the lead architect of our Revenue Operating System. Your goal is to move the organization away from manual, disconnected processes and toward a fully automated, logic-driven GTM machine. You will own the technical plumbing and orchestration layer that connects Marketing, Sales, and Success, ensuring that every lead, account, and opportunity moves through a perfectly engineered lifecycle. Reporting to the SVP, Revenue Operations, this will be a high impact role, helping drive profitable revenue growth. What You'll Do • Orchestration Layer: Design the high-level architecture that connects our core GTM tech stack. You own the State Machine of our revenue engine, defining exactly how data moves, changes, and triggers actions across our GTM stack., • Stack Consolidation & Modernization: Evaluate our existing tools through a performance first lens., • Advanced Lifecycle Orchestration: Architect the technical workflows that govern the entire customer journey. This includes complex round-robin routing, and post sales transition protocols., • Data Pipeline Ownership: Engineer the flow of GTM data from our CRM and engagement tools into the reporting layer. You ensure that every field required is automatically populated, formatted, and validated., • LLM-Powered Data Synthesis: Engineer automated pipelines that use LLMs to transform unstructured data (Gong transcripts, email threads, LinkedIn signals) into high-fidelity, structured CRM data. You will move the organization away from manual data entry toward a Zero-Entry CRM environment., • Agentic Workflow Design: Architect Agentic loops where AI agents perform autonomous GTM tasks such as automated account research, lead qualification based on custom ICP logic, and Next Best Action recommendations., • AI Stack Integration: Evaluate and implement the next generation of AI-native GTM tools and integrate them into the core GTM architecture., • Sandbox & Deployment: Implement a rigorous deployment process. No logic goes live without being tested in a sandbox to ensure zero disruption to GTM., • Systems Documentation: Maintain a technical Schema Map of our entire GTM engine so the organization understands the logic behind every automation., • Error Handling & Resilience: Treat GTM systems like production software. You will build monitoring and self-healing automations that alert the team when data syncs fail or logic breaks. Experiences and Capabilities You Bring: • The Architect Mindset: You don't see tools; you see logic gates, data schemas, and API endpoints. You are a systems thinker who builds for the 10x version of the company., • CRM Dual-Mastery: Expert-level technical knowledge of both Salesforce (Flow, Architecture) and HubSpot (Advanced Workflows, Custom Objects). You know exactly where the friction points are between these two platforms and how to solve them., • Expert proficiency in Make, n8n, Zapier, or similar enterprise-grade orchestration platforms., • Proven experience building workflows that call LLM APIs (OpenAI, Anthropic, or Gemini) to automate complex cognitive tasks., • Architect and maintain high-performance Data Activation (Reverse ETL) pipelines that bridge the gap between our Data Warehouse and the GTM stack. You will ensure that models built in the warehouse are pushed into CRM as actionable signals, not just static fields., • Experience: 8+ years in a technical RevOps or GTM Engineering role, preferably within a high-velocity B2B environment. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) bonus / variable compensation and (iii) generous equity compensation. The base salary range for this role is between $200,000-$230,000, based on the candidate's experience and skills relative to the requirements listed in the "Who You Are" section above. In addition to the base salary, the bonus / variable compensation is based on individual, team and company performance. The salary range provided is exclusive of additional compensation that candidates will receive in the form equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do • Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value, • Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights, • Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features, • Translate complex data findings into clear, compelling stories for both technical and non-technical audiences, • Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams, • Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance, • Establish best practices and guidelines for data quality, privacy, and access control, • Identify opportunities to improve the analytics platform's performance and report usage, • Collaborate with engineering teams to define service level agreements (SLAs) for data products, • Mentor and guide junior members of the data team What we're looking for • Bachelor's degree in a STEM field or equivalent, • 6+ years of experience in an Analytics or Business Intelligence role, • 4+ years of experience performing complex data analysis and demonstrating mastery with SQL, • 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool, • 2+ years of experience using dbt and Snowflake, • Possess expertise in relational and dimensional database structures, principles, and best practices, • Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform, • Exhibit experience working in Agile SCRUM teams, • Display strong project management and independent work skills, • Bring excitement to working in a fast-paced, dynamic startup environmentOur Stack, • Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery, • Datastores: MySQL, • Cloud: AWS, • Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionCompany Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Our client, a Tier 1 global bank, is planning for the establishment of a Prime Brokerage business to serve institutional hedge fund clients. The initial focus covers equities, ETFs, and US Treasuries, with a client base of long/short equity, equity market neutral, and macro funds. The business will have to be built from the ground up within an existing bank infrastructure, which means the technology program involves both the deployment of new platforms and the extension of systems already in place. The Solutions Architect hired into this role will work for the client head of the prime brokerage program as one of the senior technical authorities for the program. This person will help to set the architecture for new platforms, determine how existing systems need to be modified or extended, participate in the vendor selection and integration, and ensure that the overall technology design is operationally sound from day one. The role carries real accountability and requires someone who has done this kind of work before in a comparable environment. Responsibilities: Architecture and Platform Design • Support the definition of the target technology architecture for the prime brokerage platform, covering order management, securities finance, margin and collateral management, client reporting, and risk, • Produce solution design documentation, data flow diagrams, integration specifications, and API contracts, • Help to establish architecture standards and design patterns for use across all technology workstreams within the program, • Drive cloud-native, AI-native, and API-first design principles across new platform components, • Support the build vs. buy analysis for each platform layer and present vendor recommendations with supporting rationale, where appropriate Legacy System Modernization • Assess the bank's existing infrastructure, including OMS, clearing, custody, and risk systems, for suitability within a prime brokerage operating model, • Design integration and migration strategies that extend existing platforms where appropriate rather than replacing them unnecessarily, • Identify technical debt and control gaps that would create operational or regulatory exposure in a live PB environment, • Lead the API enablement of legacy systems to support real-time data consumption by new PB components, • Ensure that existing business lines are not disrupted during the transition period Vendor Evaluation and Integration • Support the evaluation and selection of third-party platforms across the PB technology stack, including:, • Securities finance: EquiLend, Pirum, • Margin and collateral: CloudMargin, Imagine Software, Cassini, • Client reporting: Arcesium, Enfusion, • Order management and execution: Broadridge, ION, FIX connectivity, • Data infrastructure: Snowflake, Databricks, Bloomberg B-PIPE, • Hold vendors accountable to integration and technical commitments throughout deliver Program and Delivery Leadership • Work alongside program management to sequence delivery across parallel workstreams with dependencies, • Lead a mixed team of internal engineers, bank architects, and external implementation partners, • Provide technical oversight across delivery teams to ensure consistency with the agreed architecture, • Serve as the primary escalation point for technical blockers, integration issues, and design conflicts, • Contribute to program-level risk management by surfacing technology risks early and proposing mitigations Stakeholder Management • Communicate architecture decisions and program status clearly to senior business and technology leadership, including CTO, COO, and Head of Prime Brokerage, • Work closely with the Prime Brokerage business team to ensure the technology roadmap reflects commercial priorities and client requirements, • Engage with Risk, Compliance, and Internal Audit to ensure the architecture satisfies regulatory and control expectations, • Represent the technology program in discussions with prospective clients where architecture credibility is requiredQualifications Domain Knowledge • 10+ years in Capital Markets technology with direct experience in Prime Brokerage, Securities Finance, or Clearing operations, • Solid understanding of how a prime brokerage business operates, including margin mechanics under Reg T and portfolio margin, securities lending, financing, client onboarding, and reporting, • Hands-on experience with at least two major PB vendor platforms such as EquiLend, Broadridge BPS, Imagine Software, CloudMargin, Arcesium, Enfusion, Murex, or Calypso, • Familiarity with DTCC and NSCC clearing workflows, FIX protocol, and securities settlement processes Technical Skills • Proven experience designing and delivering complex, multi-system financial technology platforms at an enterprise scale, • Strong API and integration architecture skills covering REST, FIX, SWIFT, and event-driven messaging patterns such as Kafka, • Cloud platform experience across AWS, Azure, or GCP with a working knowledge of cloud-native design approaches, • Data architecture capability including real-time and batch pipeline design and data warehouse implementation, with Snowflake experience preferred, • Understanding of security, entitlements, and data governance requirements in a regulated financial services environment Leadership and Communication • Track record of leading architecture across large technology programs with multiple delivery teams and competing priorities, • Ability to communicate technical decisions clearly and convincingly to senior business and technology executives, • Experience navigating the governance processes of a large financial institution, including architecture review boards, risk committees, and audit engagement, • Demonstrated ability to manage vendor relationships and hold third parties to technical and commercial commitments Additional Qualifications • Prior experience at a major prime broker in a technology architecture or senior engineering capacity, • Involvement in a prime brokerage launch, significant expansion, or platform overhaul program, • Exposure to the operational side of prime brokerage, such as margin management, securities lending, or client service, • Familiarity with portfolio margin stress-testing methodology and the systems that support it, • Experience implementing AI or machine learning capabilities in a Capital Markets context, • Understanding of how hedge fund clients interact with their prime brokers operationally, including OMS connectivity, reporting expectations, and margin call workflows, • Architecture certification such as TOGAF, or cloud certification at a professional or solutions level This role requires someone who understands the prime brokerage business, not just the technology. The candidates who perform best in this kind of program are those who have spent time on the operational or business side of a PB before moving into architecture. That background allows them to anticipate problems that a pure technologist would miss, and to design systems that hold up in production rather than just on paper. If you have built or significantly upgraded a prime brokerage platform at a major institution and are looking for a role with genuine scope and accountability, we would like to speak with you. Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;, • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;, • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;, • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;, • Health: Global internal wellbeing programme, access to wellbeing apps;, • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Employee Requirements • Participation in both internal meetings and external meetings via video calls, as necessary., • Ability to go into corporate or client offices to work onsite, as necessary., • Prolonged periods of remaining stationary at a desk and working on a computer, as necessary., • Ability to bend, kneel, crouch, and reach overhead, as necessary., • Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary., • Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary., • For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary., • For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) • Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options, • Flexible Spending Accounts (Medical, Transit, and Dependent Care), • Employer Paid Life Insurance and AD&D Coverages, • Health Savings account paired with our low-cost High Deductible Medical Plan, • 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Job Description Software Engineer, Customer Studio Backend (Senior) Location: Remote (North America) Compensation: $180,000–$320,000 base (location-independent) + meaningful equity (ISO options; early exercise + 10-year post-termination window) About Our Client Our client is an AI platform for marketing and growth teams. Their AI agents reimagine marketing workflows—helping teams create content, plan campaigns, build audiences, and execute strategies with significantly higher velocity and performance. They sit at the intersection of two major tailwinds: agentic AI/LLMs and the widespread adoption of cloud data warehouses (e.g., Snowflake and Databricks). The platform is trusted by leading brands and high-growth companies across consumer and B2B. Culturally, they value first-principles thinking, speed with discipline, strong communication, and a team environment rooted in kindness and ownership. About the Team / Product Customer Studio is our client's second major product: a purpose-built no-code suite that enables teams to activate data directly from their data warehouse—no SQL required. It's become core to how marketing and growth teams build audiences, measure performance, and run campaigns. It also serves as underlying infrastructure that powers agentic marketing workflows. This team blends product and customer-first thinking with challenges at high data scale, pushing what warehouses can do in terms of speed, interactivity, and reliability. The Role Our client is hiring a product-minded backend engineer to help scale Customer Studio. You'll go deep on backend and distributed systems while thinking holistically about architecture, scalability, maintainability, and reliability. You'll also be comfortable engaging with product specs—writing them when needed and partnering closely with product stakeholders. This is considered a senior role, but the company prioritizes impact and growth potential over a specific number of years. What You'll Work On • Data Warehouse Performance: Push the limits of speed and interactivity by optimizing queries, leveraging pre-computed state, and implementing warehouse-specific improvements, • Analytics & Experimentation: Help customers build segments and decide what data to sync; enable experimentation workflows and track audience performance downstream, • Real-Time Audience Syncing: Explore fresher, faster syncing as warehouses adopt more real-time patterns (including CDC), • Generative AI Enhancements: Improve the user experience of acting on data using AI to reduce friction and increase automation What Our Client Is Looking For • Strong backend engineering fundamentals with experience building scalable, reliable systems, • Comfort with distributed systems concepts and architectural tradeoffs, • Product and customer thinking: you care about usability, workflows, and outcomes—not just backend correctness, • Ability to write and collaborate on product specs and communicate clearly with cross-functional partners, • High standards for maintainability, reliability, and operational excellence, • Intellectual curiosity and a bias toward execution Bonus signals (not required): experience with cloud data warehouses, query optimization, event-driven systems, CDC/streaming patterns, or building data products for marketing/growth teams. Compensation & Equity • Base salary: $180,000–$320,000 USD (location-independent within NA), • Meaningful equity via ISO options (includes early exercise and a 10-year post-termination exercise window) Interview Process This process is designed to evaluate product sense, backend/distributed system architecture, and values alignment—without programming interviews. • Recruiter Screen (30 min): Intro call to assess mutual fit, • System Design Screen (45 min): Design a data processing feature end-to-end, • Hiring Manager Interview (30 min): Past experience + operating preferences + values alignment, • System Design Interview (90 min): Architect a high-level system with product/customer requirements and technical constraints

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role CoreWeave is seeking a Staff Global Business Process Owner, Logistics to design, standardize, and improve cross-functional logistics processes and system capabilities across the end-to-end network. This role sits within the Supply Chain Strategy & Transformation team and operates as a process architect, transformation lead, and cross-functional business partner to Global Logistics (GLO) and adjacent teams. You will partner across GLO, Supply Chain, Data Center Operations, IT, Finance, Procurement, and external partners to improve how CoreWeave moves, receives, stores, tracks, and deploys infrastructure globally. You'll move seamlessly from strategy to execution: defining future-state processes, shaping system requirements, aligning stakeholders, and helping teams adopt new ways of working. This is an opportunity to help build the logistics backbone for one of the fastest-growing AI infrastructure companies in the world, working on high-impact problems at the intersection of supply chain, technology, operations, and strategy. What You'll Do Business Process Leadership • Partner with GLO functional leaders to design, standardize, and improve end-to-end logistics processes across transportation, receiving, warehouse management, inventory movement, fulfillment, and logistics network operations, while functional ownership and operational execution remain with the respective GLO leaders., • Define future-state processes, operating models, governance, and KPIs that improve speed, scalability, visibility, accuracy, and compliance. Subject Matter Expertise • Serve as a cross-functional process transformation lead with strong logistics and systems knowledge, supporting GLO leaders across warehouse management, transportation, inventory control, 3PL operations, logistics visibility, and fulfillment., • Bring external best practices and industry perspectives to help CoreWeave build scalable, modern logistics capabilities. Process & Systems Transformation • Lead cross-functional transformation initiatives from current-state assessment through future-state design, business requirements, implementation support, and adoption planning in partnership with GLO, IT, and external partners., • Support evaluation and implementation of logistics systems, including WMS, TMS, ERP integrations, visibility platforms, 3PL integrations, and operational reporting. Stakeholder Management • Partner with business, technology, operations, finance, and external partners to align process design with business needs and system capabilities., • Lead workshops, drive decisions, and translate complex logistics and systems topics into clear recommendations for stakeholders and leadership. Change Management & Continuous Improvement • Drive adoption of new processes, tools, and operating rhythms across teams and regions through structured change management, training content, and governance routines., • Use data, KPIs, and root cause analysis to identify improvement opportunities and measure business impact. Risk & Compliance • Support the design and standardization of process controls that improve inventory accuracy, receiving discipline, auditability, and operational compliance., • Identify risks across logistics processes, systems, and partner handoffs, and help design scalable mitigations.Who You Are Required qualifications • 10+ years of experience in supply chain, logistics, warehouse management, operations strategy, business process transformation, management consulting, or a related field., • Experience leading or supporting transformation across logistics, warehousing, transportation, inventory management, fulfillment, or network optimization., • Strong understanding of logistics systems such as WMS, TMS, ERP, transportation visibility tools, 3PL systems, or related technologies., • Ability to structure ambiguous problems, analyze complex processes, and translate business needs into practical process and systems solutions., • Experience developing process flows, business requirements, governance models, KPIs, operating rhythms, or implementation plans., • Strong cross-functional leadership and communication skills, with the ability to influence without direct authority., • Bachelor's degree in Supply Chain, Logistics, Industrial Engineering, Operations, Business, Information Systems, or a related field. Preferred qualifications • Experience in high-growth technology, cloud infrastructure, data center, semiconductor, hardware, manufacturing, retail, e-commerce, or complex distribution environments., • Prior experience in management consulting, internal strategy, transformation, business process ownership, or supply chain systems implementation., • Experience with WMS / TMS selection or implementation, logistics visibility platforms, ERP integrations, 3PL integrations, warehouse network design, or transportation optimization., • Familiarity with inventory controls, cycle counting, receiving processes, operational compliance, or finance-facing supply chain processes., • APICS / ASCM CSCP, CPIM, CLTD, Lean Six Sigma, PMP, or similar certification is a plus., • Trade compliance exposure is a plus, but not required. Key competencies • Structured problem solving: Able to break down ambiguous logistics and systems challenges into clear recommendations and execution plans., • Systems thinking: Understands how process design, tools, data, controls, and operating models connect., • Stakeholder leadership: Can influence cross-functional teams and senior stakeholders without direct authority., • Communication: Able to simplify complex operational and technical topics for different audiences., • Change orientation: Comfortable building processes and systems in a fast-paced, high-growth environment.Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. • You love connecting teams and ensuring every campaign runs smoothly from start to finish., • You're curious about how strategy, brand, creative, and execution all interlock to drive real business impact., • You're an expert at managing complex, multi-stakeholder projects and keeping everyone aligned without missing a detail.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Compensation and benefits The base salary range for this role is $157,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

About Mandrel Mandrel is building the AI-native ERP for physical goods. Today, our wedge is simple and painful: true, auditable gross margin by SKU and channel, tied to real supply-chain source of truth documents. Founded in 2023, Mandrel has raised over $12M top-tier investors like Lux Capital, Construct Capital, Zigg Capital, Asymmetric Capital Partners, WndrCo, and Clocktower Ventures. The team is headquartered in New York and brings deep expertise in finance and AI. About this role We’re hiring a highly motivated Staff / Senior Software Engineer to join our team in New York. and collaborate across engineering, product, and customer teams to scale our core platform. You will own critical architecture decisions, drive technical standards, and ship high-impact systems end-to-end—from initial concept and prototypes to reliable, production-ready features. This is a deeply autonomous role where you will shape both the product and the underlying engineering foundation. What You'll Do Design, develop, test and deploy systems that automate key finance workflows and transform data into real-time financial insights for our brands. Define and contribute to the technical roadmap, working with customers and the internal team translate requirements into scalable architectures and identify opportunities for improvement Develop and refine AI-powered data pipelines for extracting, classifying, and linking unstructured data from a variety of operations and finance data sources, including supply chain documentation Architect and implement real-time data synchronization systems using GraphQL subscriptions, WebSockets, and PubSub to keep data instantly updated across all users Design multi-tenant enterprise features for procurement, inventory, and accounting automation with organization-level data isolation Build sophisticated integration layers connecting ecommerce platforms (Shopify, Amazon), warehouse platforms, financial software (Bill, QuickBooks), logistics providers, and email inboxes Optimize background processing systems for document analysis, data aggregation, and automated financial reconciliation workflows Influence engineering standards and mentor teammates, helping establish best practices for system design, code quality, testing, and operations Requirements 5+ years of full-stack industry experience building complex, data-intensive applications Proficient in our core stack: TypeScript, NestJS, GraphQL, Next.js, PostgreSQL, and Redis Experience architecting systems from scratch — ideally in finance, accounting, supply chain, or other B2B domains Experience building real-time systems (WebSockets, subscriptions, event-driven architectures) Experience with AI/ML integrations (agentic workflows, document processing, content extraction) Understand multi-tenant architecture patterns and enterprise security requirements Experience with cloud platforms (AWS) and containerization (Docker) Comfortable working with complex domains and translating requirements into technical solutions Self-driven, product-oriented, and motivated by building software that material improves business operations. Bonus: experience with inventory management, document processing, financial, or general ledger systems Why Join Us Shape how real businesses run their accounting and finance operations — your work directly improves financial accuracy and operational performance. Work on deeply technical challenges grounded in real business impact: messy data, distributed systems, financial correctness, automation, and integrations. Play a key role as an early team member at a growing startup with a high level of ownership, working directly with the founding team and customers Join a high-performing team with a high talent bar and a thriving, collaborative in-person culture — we love dissecting problems and whiteboarding creative solutions. Benefits & perks Competitive salary & equity package Unlimited vacation (with 15 days encouraged) Comprehensive medical, dental, and vision insurance Relocation assistance to NYC

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our for a closer look at our company, and learn more about our cultural values . Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our _ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

This is the deep-end engineering role on the FDE bench. You're not just configuring on the platform — you're building off it, into it, and around it. On a typical engagement, you're working side-by-side with the client's own engineering team: integrating into their loan origination system, their data warehouse, their identity stack, their CI. You're the technical authority in the room. You're still forward deployed, still co-owning the strategic outcome, still client-facing. But your edge is depth — system design, distributed architecture, secure integration, and the ability to ship production code under banking-grade scrutiny. Lead the technical design and delivery of complex banking AI engagements, including off-platform builds and bespoke integrations into client systems Partner directly with client engineering, security, and architecture teams — speak their language, respect their constraints, design for their reality Architect end-to-end agentic systems: data ingress, model orchestration, evals, observability, security, and the production wrapper around all of it Make the call on what to build on Titan's platform vs. what to build bespoke vs. what to push back into our roadmap Mentor mid-level FDEs and influence platform direction by codifying what you learn into reusable assets and patterns Represent Titan's engineering credibility to banking CTOs, CISOs, and their architects A senior engineer with real production scars. You've shipped systems that mattered to real users, at meaningful scale or under meaningful constraint. A builder above all. Title less interesting than slope. Many of the best people we know took unconventional paths to get here — that's a feature, not an exception. A strong client-facing presence. You can hold your own with a bank CTO, push back on a CISO's threat model with substance, and translate between engineers and executives in real time. A systems thinker. You see how a piece fits — and where it doesn't — before you start typing. Hypothesis-driven, opinion-strong, ego-light. You commit to a direction, you ship to test it, and you change course when the data says to. Banking or regulated-industry experience strongly preferred — financial services, insurance, healthcare, defense, energy, or similar. Senior-level full-stack with a strong backend spike — distributed systems, API design, secure integration patterns, infrastructure fluency Deep experience building production-grade agents using LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK) Fluency in agent search patterns — agent file search, vector RAG, vectorless RAG — and the tradeoffs between them Strong working knowledge of AI security frameworks: observability, data controls, model gateways, prompt and tool-call sandboxing Hands-on experience designing and running evals; familiarity with training and fine-tuning loops Process orchestration and automation at scale Comfort owning architectural decisions across the full stack of a production AI system We're building the AI platform for banking because most of the two million people employed by 4,000+ U.S. banks cannot safely and securely use modern AI tools at work — and none of them are using AI purpose-built for their domain. We're changing that. Our platform includes: Titan Foundry — secure gateway to top AI models for bank employees Banking-Reasoning Models — our flagship small language models for financial services, trained by ex-regulators and banking leaders Banking Agents — a configurable AI application layer with expertise in lending, compliance, underwriting, and operations Our team comes from Goldman Sachs, KeyBank, and the Office of the Comptroller of the Currency. We've built and sold companies into the top 25 U.S. banks. We're pre-Series A, small, and shipping. A senior FDE here is the person we point to when a client's CTO asks "who's actually building this?" — and the answer needs to be unambiguous. Competitive base salary plus meaningful pre-Series A equity (senior-level grant) Remote-first with regular client travel (~30–50%, depending on engagement) Unlimited PTO 100% of employee medical, dental, and vision premiums covered by Titan

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution? As a Services Practice Manager, you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions. You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements—all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences. Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real business outcomes. Own the entire professional services lifecycle—from deal strategy and proposal creation to execution and forecasting. Be the go-to expert for cloud-based data warehousing, business intelligence, and AI-powered solutions. Lead high-performing teams while ensuring top-tier customer satisfaction. Report to an Consulting Practice Director on the Americas Professional Services teams Be aligned to markets or industries as part of the practice, with services sales alignment to a Sales District Manager and Account Executives Be responsible for both driving service sales enablement/execution and ensuring the successful delivery of services for your assigned accounts. Focus on achieving quarterly bookings targets (for Professional Services & Training) while meeting utilization targets by actively managing select project deliveries. Be measured on consumption progress and meeting consumption targets at your accounts as part of the broader account team Be the Professional Services point of contact for your accounts, through the following: Help create and execute on the overall vision for services - both sales and delivery Own the services delivery roadmap (proposals, closing services opportunities and delivery) Collaborate with cross functional teams to find opportunities, scope, propose and sell services (Professional Services and Training) to both new and existing clients Develop scope and associated SOWs for customer services engagements Drive deal reviews internally to ensure alignment - ensure the scope of the project is well defined for customer success Understand and help optimize business operations processes for services sales Build strong cross-functional relationships within Snowflake GTM teams (legal, deal desk, account teams, sales, PS&T leadership - including workload services - and partner team) Provide bookings forecast and demonstrate strong command of your book of business Align services engagements to key customers business outcomes Drive alignment with executive sponsors and/or customer stakeholders Collaborate with other delivery partners (SIs, GSIs, other PS orgs, etc) in support of project delivery Serve as the initial point of escalation for customer and project team Own project outcomes and manage project financials (revenue forecasting and expense management) Maintain a high level of customer satisfaction as reflected in customer survey scores Collaborate with Education Services team for training delivery Provide specific services delivery activities for the role/engagement (Business Value roadmap, Business value assessment, strategic roadmap, Data Cloud Assessment, etc) Deep collaboration with AE/SEs on the account for account strategy Own and contribute to internal process improvements across your team and the broader Professional Services organization Develop expertise within their aligned market through working closely with other Practice Directors, Sales teams, and Global Industry Leaders to understand transformational specific use cases and through external research on the current business and technology landscape for your customer base. 10+ years of experience in a Sales and Services Delivery role (or similar capacity) interfacing with executives and dealing with complex, technical implementation projects, roadmapping and revenue forecasting Direct experience, ideally within the respective market (see job title), in a Data Warehousing, Business Intelligence and/or Cloud field Strong understanding of business solutions of our target clients, leveraging data as an enabler. Examples include Customer Data Platforms, cross-industry Data sharing, AI, personalization, etc. Proven track record of meeting booking, utilization, and consumption (or similar) targets Proven ability to communicate and translate effectively across both internal teams and customer organizational structures, developing technology programs, defining milestones, success criteria, resource allocation, and on-time delivery. Strong organizational skills, ability to work independently and manage multiple projects simultaneously Differentiator: Big 5 or boutique strategy consulting experience, ideally with experience achieving or exceeding sales targets. Differentiator: Experience in a client support and advisory technical role (solution architect, system administrator, technical account manager or equivalent) Differentiator: Experience in designing, leading, influencing and selling functional solution sets (e.g. Digital Marketing, Supply Chain optimization, Manufacturing Re-engineering) or cross-functional Digital Transformations. Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an market-changing initiative Learn from the best! Join a dedicated, experienced team of professionals Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: _

Why you'll LOVE Sagent: You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it! By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers. Sagent powers servicers and consumers. You power Sagent! Cloud Infrastructure Engineer SR The Cloud Engineering team builds the foundation that every engineering team at Sagent runs on. We design and deliver internal platforms and products that make shipping to production fast, secure, and repeatable. Our team builds and operates shared infrastructure capabilities including a self-service Internal Developer Portal, a centralized CI/CD platform, reusable infrastructure modules, and policy-as-code enforcement that enables teams to move quickly without sacrificing safety. We are seeking a Cloud Infrastructure Engineer to support both infrastructure and application development teams working on a large-scale, event-driven microservices platform running on GKE. This role bridges platform engineering and application support: you will maintain and evolve GCP and Kubernetes infrastructure while partnering directly with development teams to unblock delivery, troubleshoot production issues, and continuously improve the paved road from code to production. • Operate and improve multi-region GKE clusters hosting hundreds of microservices across multiple environments from development through production, • Manage the Kubernetes platform layer: Istio service mesh, cert-manager, external-dns, RBAC, HPA/KEDA autoscaling, HashiCorp Vault secret injection, and Helm-based deployments, • Develop and maintain Terraform modules across multiple IaC repositories covering GKE, networking (Shared VPC, Cloud NAT, Private Service Connect), Cloud SQL, Cloud Storage, Dataproc, Cloud Composer, Vault, and web hosting, • Maintain and extend Azure DevOps CI/CD pipelines using shared Terraform templates with multi-environment deployment workflows, • Support Confluent Kafka infrastructure including Connect workers with JDBC source connectors, consumer group health monitoring, and Kafka-lag-based autoscaling with KEDA, • Manage Redis Enterprise clusters on Kubernetes with operator-managed lifecycle and replication, • Operate the observability stack: Grafana Cloud (Alloy, Loki, Mimir, Tempo, Pyroscope via Private Service Connect), kube-prometheus-stack, Google Managed Prometheus, OpenTelemetry Operator/Collector, Beyla, and Kubecost, • Harden cluster security posture: NetworkPolicies, Pod Security Standards, admission policy enforcement, CrowdStrike Falcon, Lacework, kube-bench, and cert-manager with Let’s Encrypt ACME, • Support data infrastructure including Cloud SQL (PostgreSQL), Dataproc (Spark), Cloud Composer (Airflow), Matillion CDC pipelines, Snowflake, and BigQuery, • Manage DNS across multiple providers (Azure DNS, Cloudflare, GCP Cloud DNS) via external-dns, and support Azure APIM and Cloudflare CDN/WAF, • Partner directly with application development teams to troubleshoot deployment failures, tune resource limits and autoscaling, and resolve Kafka consumer lag and connectivity issues, • Contribute to the Internal Developer Portal (Backstage) and internal CLI tooling that enables self-service for product engineers, • 5+ years of cloud or infrastructure engineering experience, including 3+ years of hands-on GCP experience, • Strong production experience with GKE, VPC networking, IAM, Cloud SQL, Cloud Storage, and Artifact Registry, • Advanced Terraform experience, including reusable module design, state management, and multi-environment patterns, • Production Kubernetes expertise: Helm chart development and management, RBAC, resource tuning, and troubleshooting workloads at scale, • Hands-on experience with Istio service mesh: sidecar injection, mTLS, VirtualServices, AuthorizationPolicies, and traffic management, • Understanding of CNI fundamentals (Cilium/Dataplane V2), east-west traffic flows, and network segmentation, • Experience with CI/CD pipeline development (Azure DevOps YAML pipelines or equivalent) and trunk-based development workflows, • Hands-on experience with secrets management, including HashiCorp Vault (Kubernetes auth, agent injection) and GCP Secret Manager, • Proficiency in scripting (Bash, Python, or Go) with the ability to write production-quality automation and tooling, • Strong security mindset with experience implementing least-privilege IAM, certificate management, and policy-driven controls, • Clear and effective communicator able to work across infrastructure and application development teams, • Experience with event-driven architectures and Apache Kafka (Confluent Platform, Connect, consumer group management, KEDA-based scaling), • Experience with Redis Enterprise on Kubernetes (operator-managed clusters, Active-Active replication), • Familiarity with Grafana Cloud observability stack (Alloy, Loki, Mimir, Tempo, Pyroscope) and OpenTelemetry, • Experience with GCP data services: Dataproc (Spark), Cloud Composer (Airflow), BigQuery, Pub/Sub, • Familiarity with OPA/Rego or Kyverno for policy enforcement, • Experience with Azure APIM, Cloudflare, or multi-cloud DNS management, • Familiarity with Matillion or similar ETL/CDC tooling and Snowflake data warehouse, • Exposure to financial services or mortgage/loan servicing domain and associated compliance requirements, • Experience with Kubecost or similar FinOps tooling for cloud cost optimization, • Experience building or contributing to an Internal Developer Portal (Backstage), • GCP Professional Cloud Architect or Kubernetes Administrator (CKA) certification You are someone who thrives at the intersection of infrastructure and application support. You understand that a platform is only as good as the experience it provides to the teams building on it, and you are energized by helping development teams ship reliably and quickly. You hold a high bar for reliability, security, and operational hygiene — you proactively identify and resolve issues before they become incidents. You are comfortable operating at scale in a complex microservices environment and can context-switch between Terraform modules, Kubernetes troubleshooting, Kafka consumer lag, and pipeline failures. You value automation, documentation, and simplicity. You are pragmatic about technical debt and know when to fix it versus when to ship. You are comfortable working on a team of senior engineers, contributing your perspective, and adjusting quickly as you gain new information. #LI-REMOTE #LI-AN Perks! As a Sagent Associate, you will be eligible to participate in our benefit programs beginning on Day #1! We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, In-person and Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more! Why Sagent? Sagent is transforming the mortgage servicing industry by bringing the modern experience customers now expect from loan originations to loan servicing. Our platform lets customers manage their home-owing lives from anywhere while giving servicers lower costs, scale compliance and higher servicing values through full market cycles. Sagent is a joint venture that combines Fiserv Inc.'s decades of market-leading fintech expertise with Warburg Pincus' skill in growing technology companies. We hire innovators and doers to disrupt the last and most complex frontier of lending and housing. We're growing fast and need you to help shape our future. Sagent is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Cavallo is seeking a highly skilled Business Central Strategy Advisor & Product Architect to serve as our internal authority on Microsoft Dynamics 365 Business Central, workflow automation, and distribution operations. This role is central to Cavallo's transformation, guiding customers from SalesPad/GP to Business Central using our flagship products, Mission Control, Profit Scan, and the Profit Max Platform (PMP). This individual will define how Cavallo builds BC-aligned products, shape our workflow and data architecture, and ensure our solutions reinforce best practices across the BC ecosystem. This critical, cross-functional position supports Product, Engineering, Services, Sales, and Partners, providing the deep expertise needed to shape world-class, ERP-integrated experiences for distributors. The ideal candidate brings deep functional and technical experience in Business Central, distribution workflows, Power Automate, and the broader Microsoft ecosystem, combined with the ability to translate that expertise into product direction, technical recommendations, and data modeling decisions. Key Responsibilities Product & Platform Strategy • Act as Cavallo’s internal authority on Business Central capabilities, constraints, extension patterns, and data structures., • Shape Mission Control’s workflow model, defining how Cavallo solves BC gaps in areas like jobs, warehouse, reservations, automation, and approvals., • Influence Profit Scan’s BC integration by helping align costing, posting groups, and item valuations with our margin analytics engine., • Advise Product Leadership on BC trends, competitive offerings, partner practices, and distribution use cases. Integration, Workflow & Automation Expertise • Guide integration patterns for BC, including APIs, OData, events, data mappings, and Power Automate connectivity., • Define workflow triggers, automation entry points, approval patterns, and orchestration logic across Mission Control, Business Central, and other systems., • Ensure Cavallo’s system designs align with BC’s standards for customizations, extensions, and dataflows. GP → BC Migration Leadership • Strengthen Cavallo’s migration framework by defining GP-to-BC workflow transitions and identifying where Mission Control replaces legacy GP functionality., • Improve migration playbooks, partner readiness, and delivery templates to ensure consistent, repeatable BC implementations. Cross-Functional Enablement • Serve as the primary resource for internal teams needing expert guidance on BC functionality, workflow design, automation opportunities, and ERP constraints., • Support Sales and Marketing by educating them on BC workflows and how Cavallo’s products improve the ERP experience and remove costly custom development., • Partner with UX and Engineering on best practices for designing complex, multi-step BC-driven workflows with strong logic and intuitive structures. Customer & Partner Engagement • Engage directly with distributors, partners, and BC consultants to gather insights on real-world workflows and validate architectural decisions., • Advise on how Cavallo’s products can fill gaps, replace custom development, and reduce implementation risk across BC environments., • Participate in customer discovery, workflow mapping sessions, and complex implementations as the BC subject matter expert. Data Modeling & Cross-ERP Structure • Contribute to the Profit Max Platform’s (PMP) multi-ERP data model by defining BC mappings that align across other ERPs (Acumatica, NetSuite, GP, etc.)., • Ensure BC-specific workflows, data structures, and automation logic integrate cleanly with Cavallo’s margin and operational intelligence frameworks. Requirements Experience & Skills • Deep functional and technical expertise in Microsoft Dynamics 365 Business Central., • Extensive practical experience with distribution, wholesale, or manufacturing workflows., • Strong understanding of BC extension models, data structures, posting behaviors, and workflow limitations., • Hands-on familiarity with Power Automate or similar workflow automation tools., • Strong ability to translate complex ERP workflows into intuitive product experiences and clear technical recommendations., • Excellent communication skills with the ability to educate non-experts on ERP concepts clearly and confidently. Nice to Have • Experience with multiple mid-market ERPs (GP, NetSuite, Acumatica, SX.e, CSD, or similar)., • Functional or technical BC certifications., • Experience supporting software implementations or designing workflow-driven solutions., • Background working with data models, integration patterns, or multi-system automation. What Success Looks Like • Mission Control workflows clearly extend BC’s capabilities and eliminate the need for most custom development., • GP → BC migrations accelerate due to strong playbooks, fewer workflow gaps, and reduced implementation variance., • Profit Scan surfaces accurate, trusted margin intelligence through correct BC data mapping and costing interpretation., • The product roadmap is better aligned with real BC workflows, partner processes, and distributor needs., • Customers and partners view Cavallo as the go-to expert for distributor workflows inside Business Central. Why Join Us? • Become the cornerstone expert guiding Cavallo’s BC-aligned product strategy., • Influence high-impact decisions across product, engineering, services, and customer success., • Work at the intersection of ERP systems, distribution, workflow design, automation, and multi-ERP architecture. About Cavallo Cavallo is at the forefront of developing cutting-edge profit technologies for product-centric brands and wholesale distributors. . We’re seeking the self-motivated, the hard-working, the problem solvers, and the dedicated to join our team of experts. We're focused on helping businesses grow, expand, or reshape how they do things by approaching each and every problem with energy, creativity, and confidence. Ingenuity, adaptation, and evolution are at the core for us at Cavallo. Our Grand Rapids-based headquarters is focused on helping change the way organizations do business through our software products, customizations, expertise, and support. Our enterprise software solutions work with leading business applications, including multiple leading ERP platforms, and integrate with a wide range of apps and other technologies. Cavallo has been in the business of helping manufacturing and distribution companies increase productivity and efficiency since 2003. We got our start when a small business owner tasked a software developer with transforming a pile of clipboards and legal pads into a streamlined, efficient inventory management system. We have been sharing ideas and innovating ever since. Join Cavallo and help shape the next generation of data-driven enterprise solutions. If you are a visionary leader passionate about innovation, execution, and scaling world-class products, we’d love to hear from you!

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution? As a Services Practice Manager, you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions. You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements—all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Eastern Timezone. Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences. Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps that drive real business outcomes. Own the entire professional services lifecycle—from deal strategy and proposal creation to execution and forecasting. Be the go-to expert for cloud-based data warehousing, business intelligence, and AI-powered solutions. Lead high-performing teams while ensuring top-tier customer satisfaction. Report to an Consulting Practice Director on the Americas Professional Services teams Be aligned to markets or industries as part of the practice, with services sales alignment to a Sales District Manager and Account Executives Be responsible for both driving service sales enablement/execution and ensuring the successful delivery of services for your assigned accounts. Focus on achieving quarterly bookings targets (for Professional Services & Training) while meeting utilization targets by actively managing select project deliveries. Be measured on consumption progress and meeting consumption targets at your accounts as part of the broader account team Be the Professional Services point of contact for your accounts, through the following: Help create and execute on the overall vision for services - both sales and delivery Own the services delivery roadmap (proposals, closing services opportunities and delivery) Collaborate with cross functional teams to find opportunities, scope, propose and sell services (Professional Services and Training) to both new and existing clients Develop scope and associated SOWs for customer services engagements Drive deal reviews internally to ensure alignment - ensure the scope of the project is well defined for customer success Understand and help optimize business operations processes for services sales Build strong cross-functional relationships within Snowflake GTM teams (legal, deal desk, account teams, sales, PS&T leadership - including workload services - and partner team) Provide bookings forecast and demonstrate strong command of your book of business Align services engagements to key customers business outcomes Drive alignment with executive sponsors and/or customer stakeholders Collaborate with other delivery partners (SIs, GSIs, other PS orgs, etc) in support of project delivery Serve as the initial point of escalation for customer and project team Own project outcomes and manage project financials (revenue forecasting and expense management) Maintain a high level of customer satisfaction as reflected in customer survey scores Collaborate with Education Services team for training delivery Provide specific services delivery activities for the role/engagement (Business Value roadmap, Business value assessment, strategic roadmap, Data Cloud Assessment, etc) Deep collaboration with AE/SEs on the account for account strategy Own and contribute to internal process improvements across your team and the broader Professional Services organization Develop expertise within their aligned market through working closely with other Practice Directors, Sales teams, and Global Industry Leaders to understand transformational specific use cases and through external research on the current business and technology landscape for your customer base. 10+ years of experience in a Sales and Services Delivery role (or similar capacity) interfacing with executives and dealing with complex, technical implementation projects, roadmapping and revenue forecasting Direct experience, ideally within the respective market (see job title), in a Data Warehousing, Business Intelligence and/or Cloud field Strong understanding of business solutions of our target clients, leveraging data as an enabler. Examples include Customer Data Platforms, cross-industry Data sharing, AI, personalization, etc. Proven track record of meeting booking, utilization, and consumption (or similar) targets Proven ability to communicate and translate effectively across both internal teams and customer organizational structures, developing technology programs, defining milestones, success criteria, resource allocation, and on-time delivery. Strong organizational skills, ability to work independently and manage multiple projects simultaneously Differentiator: Big 5 or boutique strategy consulting experience, ideally with experience achieving or exceeding sales targets. Differentiator: Experience in a client support and advisory technical role (solution architect, system administrator, technical account manager or equivalent) Differentiator: Experience in designing, leading, influencing and selling functional solution sets (e.g. Digital Marketing, Supply Chain optimization, Manufacturing Re-engineering) or cross-functional Digital Transformations. Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an market-changing initiative Learn from the best! Join a dedicated, experienced team of professionals Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: _

Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. Pivotal Health is investing in modern healthcare data infrastructure as a strategic capability. We are building a state-of-the-art healthcare data platform that ingests, processes, and organizes complex healthcare information into trusted data assets. This role will lead the design and development of foundational platform capabilities that ensure data is reliable, scalable, secure, and accessible across the organization. As a Staff Software Engineer focused on Data Warehouse infrastructure, you will architect the services, pipelines, and platform capabilities that power our healthcare data ecosystem. You'll work on ingestion frameworks, warehouse architecture, orchestration systems, metadata management, and data access patterns that enable both analytics and AI-driven applications. This is an opportunity for an engineer who enjoys building foundational platforms that become critical company infrastructure. You'll have significant influence over architecture, technology choices, and long-term platform strategy while working on meaningful problems in healthcare. Own warehouse platform architecture. Design and evolve the systems that support storage, transformation, governance, and access across clinical datasets. Build scalable data infrastructure. Develop a secure and compliant warehouse infrastructure. Healthcare-specific data modeling: Design and build clinical data models inside a scalable warehouse solution. Design warehouse optimization strategies. Create data models and storage approaches that balance performance, scalability, and maintainability. Establish data governance frameworks. Implement controls that ensure data quality, consistency, security, and auditability. Enable downstream analytics and AI workloads. Build infrastructure that supports reporting, evidence generation, and machine learning applications. Lead cross-functional technical initiatives. Partner with engineering, analytics, and product teams to align platform capabilities with business priorities. Improve platform observability and reliability. Build monitoring, alerting, and operational tooling that ensures trust in critical data systems. 8+ years building distributed software systems or large-scale data platforms. Experience in healthcare, health tech, or regulated data environments. Experience architecting modern cloud-based data warehouse solutions. Strong proficiency in backend engineering and platform development. Deep understanding of data modeling in a healthcare/clinical data setting, storage architecture, and data lifecycle management. Strong proficiency in Python and SQL, or similar backend languages. Proven track record in implementing zero trust PHI architectures. Experience designing systems that support both operational and analytical workloads. Track record of leading technical initiatives spanning multiple teams. Strong systems-thinking mindset with an ability to balance short-term execution and long-term scalability. Demonstrated ownership of critical infrastructure in high-growth environments. Experience with Snowflake, Databricks, BigQuery, Redshift, or similar platforms. Familiarity with AI and machine learning data platform requirements. We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you. Benefits Include: Competitive compensation, including equity Full health, dental, and vision coverage Retirement savings plan through 401(k) Flexible time off Opportunities for company-wide connection and events Ready to Make an Impact? We’re building something meaningful; and we want you on the team. Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together. Work Authorization Candidates must be authorized to work in the United States without current or future employer sponsorship. Equal Employment Opportunity Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status. Reasonable Accommodations Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know. Background Checks Employment is contingent upon successful completion of applicable background checks, where permitted by law. At-Will Employment Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.

Data Warehouse Architect in New York to design and develop scalable data warehouse architectures using Azure cloud services. This role involves leading data engineering efforts and collaborating with business teams to meet data requirements. The ideal candidate will have over 12 years of experience,

USA Company is seeking a highly proficient Data Warehouse Architect to design and implement enterprise data solutions. The role involves optimizing data architectures using Azure, leading migrations, and ensuring compliance with industry standards. Applicants should have over 12 years in similar rol

The ideal candidate will have over 7 years of experience in warehouse operations with strong expertise in data analytics and SQL. Lead Warehouse Optimization Engineer. This role involves architecting and driving large-scale optimization initiatives to improve operational efficiency and customer expe

This role emphasizes collaborative data modeling and underscored by hands-on experience with various database technologies. A prominent IT staffing firm is seeking a Systems Analyst for a remote federal contract position. The ideal candidate will have at least 7 years of systems analysis experience

Join a dynamic team as a Data Warehouse Architect, where you'll design and implement data architectures that support analytics and business intelligence applications. This role offers the chance for significant impact within a growing data management division in either Pittsburgh or Cleveland. You'l

A leading technology firm is seeking a Business Intelligence Solutions/Data Warehouse Architect in Long Island City, NY. This role demands 8+ years of experience in SQL Server based BI solutions and Data Warehousing architecture. Responsibilities include solution architecture, technical analysis, an

An innovative firm is seeking a seasoned data engineer with over 6 years of experience in Enterprise Data Warehouse technologies. This role involves designing and implementing robust data solutions, managing data pipelines, and deploying large-scale distributed systems. Join a dynamic team where you

A leading consulting firm is seeking an ETL Lead Designer and Developer to provide technical leadership in designing and implementing ETL solutions for a Data Warehouse. The role demands expertise in maintaining data quality and integrity throughout the project lifecycle. This position is essential

You will leverage strong SQL stored procedure skills alongside AWS Aurora PostgreSQL to ensure high-quality data solutions. The ideal candidate has a robust background in relational data modeling and a proven ability to optimize SQL performance and manage ETL workflows with Informatica.

The ideal candidate will work on data warehouse solutions and provide second-tier support for financial applications.

Overview The Solution Architect will provide technical leadership for the definition, design, and implementation of Apriso based MES solution. In this role you will set the expectations, provide insight into the solutions to be provided, create prototypes and functional and technical specifications. In addition, you will provide the architectural design that will be the foundation for the implementation. Candidates can be based anywhere in the United States. Responsibilities Architect solutions using the best business practices utilizing the Apriso Software suite of products. Create conceptual designs, process definitions/functional business blueprints based on identified requirements. Develop and implement processes to evaluate, capture, and apply best practices and lessons learned. Perform handover of the Blueprints to the Project/Delivery Managers and/or Implementation Leads. Create appropriate technical designs based on functional specifications. Promote the development and use of repeatable solutions with focus on reusable templates and time to value. Provide guidance and knowledge transfer to partners and customers. Provide assistance to Project Managers for Pre-Sales RFP and questions from Field Pre Sales Consultants. Assist in providing technical and functional help for packaging solutions for vertical industries. Lead internal process improvement of Apriso business practices and procedures. Top Skills Bachelor's Degree in related field (Required). Master's Degree in related field (Preferred). Experience in implementing MES software for key modules such as Production, Quality and Warehouse – architecting and implementing – including automation, production monitoring and execution, quality planning and execution, detailed scheduling and sequencing, and interfaces to ERP. Understanding of Apriso data model and Apriso process builder framework. Knowledge of material management as it pertains to the shop floor. Understanding of different replenishment strategies (Push/Pull, Kanban). Working knowledge of Project Management and presentation software business tools. Excellent problem solving skills. Minimum of 8 years in a Supply Chain/ LES/ MES/ ERP/ Automation functional / technical role providing familiarity with business processes and practices. Minimum of 8 years' experience in the Information Technology Industry. Programming background with C#, SQL/PL SQL, Java and web based technologies. Secondary Skills SAP or Oracle applications experience is a plus. Experience using Biztalk Server, SAP Business Connector is a plus. Business Process Certifications, such as APICS, CPIM is a plus. Strategic Program Certifications, such as Six Sigma Black Belt is a plus. Understanding of RF and RFID technologies and devices is a plus. #J-18808-Ljbffr

Data Modeler Responsibilities: Analyze, Design and Implement Data Models: Analyze legacy and recent data usage across applications. Develop conceptual, logical, and physical data models. Implement relational, dimensional databases. Create data models optimized across different data domains. Optimize models for data query performance using best practices. Collaboration: Work with business analysts, data architects, data administrators and database/BI developers. Translate enterprise requirements into effective data models. Standards and Best Practices: Define, review and document data modeling and design standards. Hands-On Expertise: Perform hands‑on modeling, design, configuration, development, and performance tuning. Work proactively to address project requirements. Qualifications: Education: Bachelor’s degree in computer engineering, computer science, information systems, or a related field. Experience: 8+ years in data analytics, data modeling, or data architecture. Proficiency in data modeling for transactional, operational reporting, and analytical solutions (EDW, Data Lake). Experienced with Dimensional Modeling and Data Warehouse Modeling. Experience using data modeling tools (e.g., IDERA Data Architect, Erwin). Knowledge of SQL and its use in data access and analysis. Experience in remodeling and/or re‑platforming of legacy application databases. Knowledge of cloud‑based databases (e.g., Azure/Fabric). Exposure to data architecture implementation on Azure/Fabric preferred. Skills: Excellent communication, problem‑solving, organizational, and analytical skills. Ability to work independently and collaboratively. Location: Remote Compensation: Hourly Rate Range - $40-$60/ hr Benefits Offered: [Health, Dental, Vision Insurance] Deadline: Applications accepted until 10/30/2025 at 11:59 PM CST We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs. We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization. #J-18808-Ljbffr