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Job DescriptionJob Description Trust Automation is a government contractor and has over 35 years of experience in custom motors, linear drives, digital drives, and systems which meet the unique needs of its customers. Its product line includes motors, linear drives, digital drives, custom assemblies, and products to fit unique applications and ground-up system design and manufacturing solutions. We design, build and support control and power management systems for the most demanding defense, semiconductor, industrial automation, and medical applications. Trust Automation is an equal opportunity employer and committed to attracting, hiring, developing, and retaining a skilled, productive, and diverse workforce, personnel with competencies and experience related to the regional and State population. Every employee has an "at-will" relationship with Trust Automation. This means that employment with Trust Automation is at the mutual consent of the employer and the employee and is subject to termination by either party at will, with or without cause or advance notice. Job Summary The Dynamics 365 Finance and Operations Functional Lead will serve as Trust Automation's in-house ERP expert and strategic advisor. This position will lead the optimization and expansion of the D365 F&O platform, working directly with business users to configure solutions, streamline processes, and implement integrations that enhance financial, operational, and manufacturing capabilities. This position will partner with business stakeholders across finance, manufacturing, supply chain, and operations to continuously improve D365 F&O implementation, identify process inefficiencies, implement solutions, and drive system adoption across the organization. As the Functional Lead, this position will be the voice of D365 F&O, acting as a bridge between business needs and technical solutions. The role will guide Trust Automation through system enhancements, integrations such as PLM, MES, Field Service, and CRM, while ensuring the ERP platform supports our precision manufacturing operations and systems engineering approach. Duties and Responsibilities To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified, to perform the essential functions. Functional Leadership & Business Partnership Serve as the primary functional expert and point of contact for D365 F&O across the organization. Partner with business stakeholders to identify opportunities where D365 F&O can improve efficiency and reduce overhead. Provide functional guidance and best practice recommendations to end users and management. Lead cross-functional initiatives to enhance system adoption and optimize business processes. Collaborate with technical resources to ensure solutions align with business requirements. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. Position Requirements Education and Certifications Bachelor's degree or equivalent work experience in Computer Science, Accounting, Management Information Systems, Business Administration, or related field. Microsoft Dynamics 365 certifications in Finance and Operations, Supply Chain Management, or related modules (highly preferred). Technical Experience 8+ years of experience in the implementation, functional support, and auditing of D365 F&O systems as a consultant and end user Proven experience in full-cycle ERP implementations, upgrades, and migrations Preferred experience in Finance, Supply Chain, and/or Project Management modules Strong knowledge of manufacturing processes including production control, MRP planning, BOMs, routing, and shop floor control Experience with financial modules: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project Accounting, Cash & Bank Management Proficiency with Lifecycle Services (LCS), Azure DevOps, and RSAT (Regression Suite Automation Tool) Experience with integrations using REST APIs, OData, dual-write, and Azure services An understanding of the Agile development framework and knowledge of leveraging Azure DevOps within the SDLC process An understanding of the SCRUM methodology for tracking issues and enhancements Knowledge of Power Platform (Power BI, Power Automate, and Power Apps) and F&O integration Knowledge of best practices in D365 F&O development and system configuration Experience with X development, extensions, and customizations Understanding of workflow design and approval hierarchies in D365 F&O Deep understanding of ERP architecture and data flow across modules Ability to troubleshoot complex system issues and identify root causes Analytical mindset with strong problem-solving capabilities Excellent verbal and written communication skills for both technical and non-technical audiences Ability to facilitate meetings with executives, managers, and end-users Strong stakeholder management and relationship-building skills This position may be asked to drive for company purposes during the course of employment. If asked and agreed upon, employees must possess a valid California Driver's License and clean driving record. May participate in the identity verification process to access secure client or government portals by authorizing certified supplier or customer management platforms to obtain information from your personal credit profile or other information, solely to verify your identity. Physical Requirements Hearing and speaking to exchange information in person, on the telephone or virtually. Dexterity of hands, fingers, and wrist to operate a computer keyboard, calculator or assemble/manufacture intricate items. Seeing to read a variety of materials. Sitting or standing for extended period of time Physical agility to lift 20 pounds to shoulder height. Physical agility to lift, carry, push, or pull objects. Pay/Salary Information Pay scale for this position : $150,000-$180,000 By submitting your application, you acknowledge that you have read and understand the information provided within. You certify that the information contained in this application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire, or for discharge should you be hired.

Job description: As a High Voltage Test Engineer, you will provide technical leadership for high voltage laboratory testing, oversee electrical cable testing, develop test procedures and reports, and support the reliability, accuracy, and continuous improvement of laboratory testing processes. This is a direct-hire opportunity. Benefits Package 401(k) Life insurance Health insurance Dental insurance Vision insurance Short-term disability Long-term disability Paid vacation Paid holidays Opportunity for advancement Flexible spending account Required Education and Experience Bachelors degree in Electrical Engineering from an accredited university At least 3 years of experience in electrical testing within a manufacturing environment Preferred Education and Experience High voltage systems experience preferred General Requirements Demonstrate a strong understanding and application of relevant standards, including familiarity with standardization organizations and regulatory bodies related to high voltage cables and accessories Maintain a commitment to health, safety, and environmental best practices Be fluent in English with strong written and verbal communication skills Prioritize effectively in a demanding, fast-paced environment Demonstrate teamwork and leadership abilities, with strong persuasion and analytical synthesis skills Demonstrate excellent facilitation and presentation capabilities Be detail-oriented, disciplined, and highly motivated Maintain an organized, structured, and systematic approach to problem solving Work comfortably in multicultural environments while coordinating multiple testing activities with various stakeholders Operate effectively within a matrix organization Maintain a results-driven approach with a strong commitment to continuous improvement Work independently and remain self-motivated in operational tasks Maintain a customer-focused mindset dedicated to delivering high satisfaction Travel globally to customer locations, conferences, and other client facilities as needed Essential Functions delivery to the client handover to the customer development projects or raw material Ensure all cables undergo electrical testing during production and again before Guarantee every cable is electrically tested during manufacturing and prior to Prepare and issue detailed test plans and final test reports for customer orders and Perform electrical cable testing, including impulse testing, HVAC testing, HVDC testing, PD testing, capacitance testing, loss factor testing, and DC jacket testing Perform additional selected mechanical and physical evaluations on cable samples Qualifications: Required Education and Experience Bachelors degree in Electrical Engineering from an accredited university At least 3 years of experience in electrical testing within a manufacturing environment Preferred Education and Experience High voltage systems experience preferred Why is This a Great Opportunity: Great opportunity with growing cable manufacturer

In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.

Role Overview The NetSuite Systems Administrator is responsible for the day-to-day administration, configuration, support, documentation, and continuous improvement of Ashoka's global NetSuite OneWorld environment, with administrative support for NetSuite Planning and Budgeting (NSPB). Operating across approximately 30 countries, the organization is at varying stages of NetSuite adoption and implementation. This role will help strengthen the existing environment while supporting continued rollout, remediation, and standardization of financial systems and processes across the global organization. The Systems Administrator will serve as a key bridge between Finance, Accounting, country offices, and internal and external technology resources. The successful candidate will combine strong NetSuite technical skills with an understanding of accounting and financial processes and the ability to work effectively with users across multiple countries, cultures, and levels of technical sophistication. This is a hands-on, mid-level role for someone who enjoys solving problems, improving systems, and helping users get more value from NetSuite. $110,000 - $130,000 a year Key Responsibilities NetSuite Administration & Support • Serve as a primary administrator for the organization's NetSuite environment, supporting users across headquarters and approximately 30 country operations. • Manage user accounts, roles, permissions, access controls, workflows, forms, dashboards, and system preferences. • Troubleshoot system issues and respond to user questions, identifying root causes and developing sustainable solutions. • Manage and prioritize NetSuite support requests and coordinate with external consultants or other technical resources when appropriate. • Develop and maintain a current system inventory and documentation on configurations, workflows, scripts and integrations, roles, reports and saved searches, recurring processes, administrator runbooks, known dependencies, and key configuration decisions. • Monitor system performance, data quality, integrations, and scheduled processes and proactively identify potential issues. Global Implementation & Standardization • Support continued implementation, and expansion of NetSuite across countries and entities not yet fully operating on the platform. • Partner with Finance and country teams to understand existing financial processes, systems, reporting requirements, and local constraints. • Translate approved requirements into entity setup, chart-of-accounts mappings, currencies, accounting periods, dimensions, intercompany structures, approval workflows, Multi-book and multi-currency configuration, and other system structures required for international operations. • Support data migration, testing, validation, user acceptance testing, cutover, and post-implementation stabilization. • Help establish standardized global processes while appropriately accommodating necessary local requirements. • Identify opportunities to reduce reliance on spreadsheets, manual processes, and disconnected local systems. Finance Process & Reporting Support • Partner closely with Accounting, Budget & Planning, Treasury, and Finance leadership to improve the effectiveness of NetSuite-enabled financial processes. • Support month-end and year-end close processes by troubleshooting system and data issues and improving workflows. • Develop and maintain saved searches, reports, dashboards, KPIs, and other tools that improve financial visibility and decision-making. • Support multi-entity consolidation, intercompany accounting, foreign currencies, and global financial reporting. • Help improve the timeliness, consistency, and accuracy of financial information received from country offices. • Assist Finance leadership in developing better visibility into cash, spending, budgets, forecasts, and other key financial information. Systems Improvement & Integration • Evaluate business requirements and translate them into practical NetSuite configurations and solutions. • Configure and maintain workflows, custom fields, forms, records, saved searches, reports, and dashboards. • Identify opportunities for automation and process improvement within NetSuite. • Support integration between NetSuite and other organizational systems, working with technical specialists where necessary. • Participate in testing and deployment of NetSuite releases, enhancements, integrations, and configuration changes. • Maintain appropriate change-management practices, including documentation, testing, approvals, and production deployment. Data Governance, Controls & Security • Help establish and maintain strong data governance practices across the global NetSuite environment. • Support appropriate segregation of duties, role-based access, approval authorities, and other financial-system controls. • Conduct periodic reviews of users, roles, permissions, and system access. • Partner with Finance and other stakeholders to strengthen internal controls and audit readiness. • Support internal and external audit requests related to NetSuite configuration, access, transactions, and system controls. • Help ensure that system changes and financial data are appropriately documented and controlled. Training & User Adoption • Provide practical training and support to Finance staff and NetSuite users across the organization. • Develop user guides, process documentation, FAQs, and training materials. • Help country teams transition from legacy or local processes to standardized NetSuite processes. • Build user confidence and encourage consistent adoption of global standards. • Communicate technical concepts clearly to users who may not have systems or accounting backgrounds. Preferred: NetSuite Planning & Budgeting Administration • Provide administrative and technical support for NSPB, including user access, security, metadata, data loads, integrations, and recurring system processes. • Troubleshoot NSPB configuration, data, and integration issues and coordinate specialist support where advanced system expertise is required. • Develop and maintain NSPB administrative and technical documentation, including key dimensions, integrations, security, recurring processes, and known dependencies. • Partner with FP&A to translate approved planning requirements into system configuration. Qualifications Required • Approximately 3-6 years of experience administering or supporting NetSuite in a complex organization. • Hands-on experience with NetSuite configuration, roles and permissions, workflows, saved searches, reports, dashboards, and system administration. • Strong understanding of core accounting and financial processes, including general ledger, accounts payable, accounts receivable, close, and financial reporting. • Experience supporting multi-entity or multi-subsidiary environments within a grant-making organization. • Familiarity with nonprofit accounting, fund/grant accounting, donor restrictions, or project/program reporting. • Demonstrated ability to diagnose systems and data problems and develop practical solutions. • Experience gathering business requirements and translating them into system improvements. • Strong analytical, organizational, documentation, and problem-solving skills. • Ability to manage multiple priorities and work independently while collaborating with geographically dispersed teams. • Strong written and verbal communication skills and an ability to work effectively with both technical and nontechnical colleagues. Preferred • Experience with NetSuite OneWorld, multi-book accounting and international/multi-currency environments, • Experience supporting a global organization with decentralized operations. • Experience with NetSuite implementations, entity rollouts, data migrations, or significant system enhancements. • Experience with SuiteFlow and basic familiarity with SuiteScript, SuiteAnalytics, integrations, APIs, or related NetSuite tools. Deep development expertise is not required. • Experience working with external NetSuite implementation partners or consultants. • NetSuite Administrator or other relevant NetSuite certification is a plus. • Experience administering or supporting NetSuite Planning and Budgeting (NSPB). Success in This Role During the first 12-18 months, success will include: • Establishing reliable day-to-day administration and support for the global NetSuite environment. • Completing a current-state system/configuration inventory and improving system documentation, user access, data quality, and administrative controls. • Supporting successful implementation or deeper adoption of NetSuite in additional country operations, which may include partnering with an external implementation team. • Reducing manual workarounds and improving consistency of financial processes across countries. • Improving the quality and timeliness of global financial reporting and consolidation. • Developing useful dashboards, reporting tools, and system-enabled processes for Finance leadership and country teams. • Creating a scalable support and governance model as the organization moves toward fuller global adoption of NetSuite. . click apply for full job details

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE) to join our team! This is a fully remote role and can be based anywhere in the US. We are seeking an experienced Oracle EDMCS professional to lead the implementation, maintenance, and governance of enterprise metadata and master data management solutions. You will ensure that hierarchies, dimensions, and reference data remain accurate, synchronized, and well-controlled across Oracle EPM, ERP, and downstream third-party applications. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Job Responsibilities Include: Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring. Configure core EDMCS components including Node Types, Node Sets, Viewpoints, Hierarchies, and Property Definitions Design scalable organizational data structures for the Chart of Accounts (COA), Cost Centers, Departments, Legal Entities, and Product Hierarchies Set up integrations and data synchronization between EDMCS and Oracle Cloud applications (such as FCCS, Planning/Freeform, and ERP Cloud) Maintain and enhance ERP, EPM , Custom applications scenarios, entities, accounts, and intercompany structures. Define and manage metadata approval workflows, request interfaces, and change control mechanisms. Establish business validation rules, derivations, and subscriptions to automate and control data changes. Maintain system security, access controls, and granular role assignments Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems. Manage system operations related to the close process, including running consolidations, translations, calculations, and validations. Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations. Serve as a subject matter expert (SME) on EDMCS functionality and work with stakeholder for any BAU changes Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements. Provide user training, guidance, and support for change request submission and hierarchy management. Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar). Support internal and external audit activities through documentation, controls, and system evidence. Recommend technology and process improvements that enhance financial operations efficiency. Work with cross functional teams to automate manual financial workflows using the appropriate tools. Identify opportunities to optimize metadata structures, automation, and data governance workflows. Basic Qualifications: 5-8+ years of experience in Oracle EPM/ERP, with hands-on expertise specifically in Oracle EDMCS. 5+ years of experience supporting Oracle FCCS and/or Hyperion Financial Management. 3-5 years of experience with data exchange/FDMEE/FDM data integrations. 3-5 years of strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes. + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.) 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes. 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems. Preferred Skills: Strong knowledge of automation using Oracle EPMAutomate. Strong analytical, documentation, and problem solving skills. Highly organized and detail oriented. Strong communicator able to partner effectively with Finance, IT, and business stakeholders. Adaptable and proactive, with a continuous improvement mindset. Comfortable managing multiple priorities in a dynamic environment. Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway. Basic understanding on Oracle ARCS, ,FreeForm, TRCS products knowledge. Experience in the Banking sector is preferred. Ability to write Groovy rules, REST API calls, or SQL is preferred. Oracle EPM Cloud EDMCS certification is preferred. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $123,210 - $205,350 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details

P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role Pulse is Sword Health's cardiometabolic program - an AI-first, clinician-backed experience that members stay with for months, not days. We're looking for a Head of Product to own it end to end: the roadmap, the AI experience, and the engagement engine that keeps members coming back. This is a builder's seat, not a caretaker's. You'll take features from zero to one and then scale them to hundreds of thousands of members, designing agentic and conversational experiences on top of frontier models - and the eval frameworks that prove they're safe, accurate, and actually working. You'll own the metrics that matter (activation, engagement, retention, clinical outcomes) and partner closely with clinical, ML, design, and commercial teams to move them. What you'll be doing Product Strategy & Execution Own the product roadmap from pre-launch through scale, balancing zero-to-one innovation with one-to-100 optimization. Define and prioritize features that drive member engagement, retention, and clinical outcomes across 4-12 month care journeys. Establish clear product metrics, success criteria, and feedback loops to rapidly iterate and improve the member experience. Partner with clinical, regulatory, and compliance teams to ensure product decisions meet healthcare standards while maintaining innovation velocity. AI Product Leadership Design AI-first product experiences that leverage agentic capabilities, conversational interfaces, and personalized recommendations to deliver exceptional consumer value. Develop and implement evaluation frameworks (evals) to measure AI model performance, accuracy, safety, and member satisfaction. Maintain deep understanding of available AI models (LLMs, fine-tuning approaches) and make strategic decisions about which models to use for which use cases. Collaborate with clinical, ML engineering and applied AI teams to ensure safety and quality and optimize model performance, latency, cost, and reliability in production. Leverage AI tools throughout the product development lifecycle to accelerate research, prototyping, testing, and go-to-market preparation. Stay current on AI capabilities and emerging techniques, continuously evaluating how new developments can enhance the member experience. Growth Build and execute strategies to drive member activation, and long-term retention in both B2C and B2B2C contexts. Design onboarding experiences, engagement loops, and re-engagement strategies optimized for sustained behavior change. Analyze member behavior, drop-off points, and engagement patterns to identify opportunities for product improvement. Partner with growth, marketing, and commercial teams to align product experience with go-to-market strategy. Develop hypotheses and run experiments to continuously improve conversion, engagement, and retention metrics. Cross-Functional Leadership & Communication Serve as the product voice in executive discussions, client presentations, and sales cycles. Translate complex AI product concepts into compelling narratives for non-technical stakeholders, including clinical teams, executives, and clients. Collaborate with engineering, design, data science, clinical operations, and commercial teams to align on priorities and drive execution. Build strong relationships with key stakeholders across the organization to ensure the product has the support and resources needed to succeed. What you need to have 6-8 years of product management experience, with at least 3 years focused on AI products or consumer-facing digital health products. Proven track record launching 0-to-1 products and scaling them to significant user bases (one-to-100). Deep experience with AI-first product development, including working with LLMs, designing agentic experiences, and building evaluation frameworks. Strong product sense for consumer experiences, particularly in products requiring sustained engagement over 4-12 month time horizons. Experience in B2C or consumer tech companies, with demonstrated expertise in growth, activation, and retention strategies. Nuanced understanding of different AI models, their capabilities and limitations, and how to maximize value from them in production. Comfort with ambiguity and ability to make decisions quickly with incomplete information. Excellent communication skills with ability to influence cross-functional teams and present to executive audiences. What we would love to see Experience at high-growth startups where you've navigated rapid scaling and shifting priorities. Track record of leveraging AI tools (coding assistants, generative AI for research, automated testing) to accelerate product development timelines. Technical background or strong ability to collaborate deeply with engineering teams on AI implementation details. Experience designing products for both direct consumer and enterprise/B2B2C distribution models. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $278,850-$359,350 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.

P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details

About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)

WHAT YOU'LL DO The Machine Learning team at Viant builds the real-time decisioning systems that power programmatic advertising - models that predict, in milliseconds, whether an ad opportunity is worth bidding on, and systems that decide how much to bid, live, across billions of auctions. We're looking for an experienced Director of Applied Science to own this technical domain end to end: the models, the production systems they run on, and the team that builds them. This is a hands-on, player-coach role - you'll review designs, unblock scientists on hard formulation problems, and still be able to work through the math and the system tradeoffs yourself when it matters. THE DAY-TO-DAY Own the end-to-end design, deployment, and performance of Viant's real-time prediction and bid-optimization systems - models that run inside strict latency budgets and directly drive auction outcomes Define the technical formulation for ambiguous ad-optimization problems: what's being optimized (click, conversion, ROAS, or incremental value), who the valid training population is, what the model should predict, and how a downstream system should interpret it Provide technical and strategic leadership to a team of applied scientists and ML engineers - reviewing designs, coaching through production tradeoffs, and setting technical direction Own the operational realities of production ML at scale: delayed feedback and attribution, label imbalance, latency and serving constraints, monitoring, drift, and retraining Evaluate and improve the systems that decide how bids are placed and adjusted in live auctions, incorporating budget, volume, and business constraints into the model's output Collaborate with Product and Engineering leadership to align technical roadmap with business priorities Build toward more autonomous, multi-step decisioning systems as the team's technical roadmap expands beyond single-prediction models MUST HAVE 10+ years of experience building and deploying production machine learning systems, with at least 5+ years in a hands-on technical leadership role Direct experience with real-time, high-scale decisioning systems - ad optimization, bidding, ranking, recommendation, or a closely comparable domain with similar latency and volume constraints Demonstrated ability to formulate an ambiguous business problem into a precise ML specification: labels, training population, objective, loss function, and evaluation metrics - without relying on framework-level generalities Working fluency in the operational demands of production ML: delayed feedback, latency and serving tradeoffs, monitoring, drift, and retraining A track record of technical leadership: reviewing and improving other scientists' system designs, not just managing their output Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred GREAT TO HAVE Direct experience with real-time bidding, ad auctions, or programmatic advertising systems specifically Experience with identity resolution or cross-device/cross-platform user matching Experience with agentic or multi-step autonomous decisioning systems PhD in Machine Learning, Computer Science, or a related field Publications or conference contributions in ML or a closely related field Formal people-management tenure beyond the 5-year hands-on leadership requirement above LIFE AT VIANT Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance , paid parental leave and unlimited PTO and more. Base compensation range: $230,000 - $260,000 In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education. About Viant Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. 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P-256 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with 1-5 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, with a close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space 4+ years working in a pre-sales capacity or supporting sales activity Technical in big data, data science, and cloud An ability in data-driven business transformation and driving change with data 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala, or Java Nice to have: Databricks Certification LI Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.