51 jobs found

Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

Southern Glazer's Wine & Spirits is seeking a Senior Software Engineer to design, build, and optimize enterprise solutions that power our wholesale wine and spirits distribution network. You will architect scalable, cloud-based applications, integrate complex logistics and sales systems, and enhance data-driven decision-making across supply chain and commercial teams. Partner closely with product, operations, and analytics to deliver secure, high-quality software. As a technical leader, you'll mentor engineers, champion best practices, and support our inclusive, people-first culture and commitment to responsible service. Responsibilities Design and implement scalable, secure software solutions for logistics, sales, and supply chain workflows Architect and maintain cloud-based services and integrations across enterprise systems Collaborate with product, operations, and data teams to translate business needs into technical solutions Lead code reviews, enforce engineering best practices, and improve code quality and reliability Build and maintain CI/CD pipelines and automated testing to support rapid, stable releases Monitor application performance, troubleshoot production issues, and drive root-cause fixes Mentor and coach junior and mid-level engineers, providing technical guidance and feedback Contribute to technical roadmaps and system architecture decisions aligned with business goals Required Skills Java or C# development Cloud platforms (AWS or Azure) Microservices architecture RESTful APIs and integrations Relational databases and SQLCI/CD pipelines Unit and integration testing Git and version control System design and architecture Docker or containerization

FM is seeking a Consultant Engineer to design, configure, and implement our workplace and facilities management software for enterprise clients. You will gather requirements, translate them into scalable configurations, and integrate FM with client systems to optimize real estate, space utilization, and building operations. Working cross-functionally, you'll analyze data, develop best practices, and guide clients through deployment, adoption, and continuous improvement in a flexible, technology-forward environment. Responsibilities Consult with enterprise clients to understand workplace and facilities management requirements. Design and configure FM's software solutions for real estate, space, and building operations. Analyze client data to optimize space utilization and operational efficiency. Lead solution implementation, testing, and rollout in collaboration with cross-functional teams. Develop technical documentation, configuration standards, and best practices. Provide technical guidance, training, and knowledge transfer to client stakeholders. Collaborate with product and engineering to translate client feedback into enhancements. Support integration of FM systems with client IT, HR, and building management platforms. Monitor solution performance and recommend improvements using data-driven insights. Contribute to continuous improvement and operational excellence initiatives across projects. Required Skills Enterprise software implementation Requirements gathering and solution design SQL and relational databases Data analysis and reporting System integration (APIs, web services) Configuration of Saa S platforms Technical documentation Project coordination and stakeholder management Facilities/workplace management domain knowledge Presentation and client training skills

About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Scale For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding. Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands. We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact. Scale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in. About the Role We are looking for a mid-level Data Analyst who is far more than a report builder. You are a "Data Detective" who understands the heartbeat of the customer journey. You will not just analyze data; you will own the truth behind our Customer Retention and Lifecycle. We need a Lifecycle Data Master who understands the nuances of CRM and loyalty platforms (Klaviyo, Loyalty Lion) and is an expert in churn analysis, cohort tracking, and LTV maximization. Additionally, you will act as a critical partner to our Brand and Retention teams, bridging the gap between raw behavioral data, email/SMS performance, and long-term brand loyalty. What You'll Do 1. Retention & Lifecycle Mastery Deep-Dive Analytics: Ingest, clean, and analyze complex datasets from our CRM and loyalty platforms (Klaviyo, Loyalty Lion) to provide granular insights on LTV, repeat purchase rates, and cohort degradation. Churn & Retention Expert: Build robust churn prediction models and identify drop-off points in the customer journey to help the retention team intervene effectively. Lifecycle Support: Empower the marketing team with actionable data on email/SMS campaign performance, segment health, loyalty program engagement, and channel efficiency. 2. Brand & Customer Experience Analytics Customer Journey Mapping: Analyze the post-purchase funnel to understand how product usage, subscription models, and brand interactions drive repeat behavior. Loyalty Program Optimization: Act as the lead investigator for our loyalty data. Track earn/burn rates of reward points, VIP tier migrations, and the incremental value of our rewards program. Reporting: Generate reports that align brand initiatives and CRM metrics with overall revenue growth and overall customer health. 3. Data Transformation & Visualization Data Preparation: While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data prep. You will use KNIME or dbt (or similar tools like Alteryx, Tableau Prep, or Python/Pandas) to clean, merge, and format data for specific analyses. Business Logic Application: Write efficient SQL to transform raw log-level data in Snowflake into usable datasets that reflect our specific business rules (e.g., defining "active vs. lapsed vs. churned" customer logic). Dashboarding: Design, build, and maintain high-impact dashboards in Tableau. You will translate complex SQL queries into visual stories for stakeholders. What We're Looking For The Essentials (Experience & Tech Stack) Experience Level: 3 years of specific Data Analysis experience. (We are not looking for Junior Analysts or Senior Data Architects; we need a hands-on mid-level executor). Industry: Proven experience in DTC E-commerce is required. You must be fluent in Shopify and Amazon Seller Central data schemas. Warehousing & BI: Strong proficiency with Snowflake (SQL) and Tableau (LOD expressions, complex visualizations). Transformation Tools: Competency in KNIME or dbt is preferred, but we are open to candidates experienced with Alteryx, Prep, or Python who can adapt quickly. ELT Familiarity: Awareness of how ELT tools (like Hevo, Fivetran, Airbyte, Azure, etc.) function, so you can communicate effectively with our Data Engineer when pipeline adjustments are needed. The "Lifecycle & Retention Master" Skill Set You are deeply versed in the data schemas of Klaviyo and Loyalty Lion, understanding how to extract and model complex email, SMS, and rewards program data. You have hands-on experience conducting complex churn analysis, cohort retention modeling, and LTV forecasting. You intimately understand the nuances of lifecycle metrics and can easily analyze the true impact of deliverability, Apple's Mail Privacy Protection (MPP) on open rates, click-to-purchase rates, and SMS unsubscribe behaviors. The Brand & Customer Mindset You are comfortable working with subscription metrics (MRR, churn rate, retention curves, payback periods). You have the patience and precision to trace a single customer's journey through multiple touchpoints (a purchase, an email open, an SMS click, a loyalty redemption) to understand their true lifetime value. What We Offer Salary: $80,000- $95,000 Medical, Dental, Vision, and Life Insurance Fully remote, full-time position Monthly work-from-home stipend Generous paid time off program Discounted products An amazing team to work alongside Please click the link for our privacy notice: Applicant Privacy Policy Notice

About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen 2022 - Rome 2023 - Buenos Aires 2024 - Lisbon 2025 - Cartagena). Kalepa's culture isn't for everyone, and that's ok. But for the people who are a fit, they can't imagine working elsewhere. About the role: Salary range: $80k - $105k USD We are looking for smart programmers who love to code, seek challenging problems, and appreciate recognition for excellent work. As a core engineer, your contributions will have a significant impact on our technology and business. You will be working on advanced systems including NLP, firmographic data, entity resolution, and much more. In this role, you'll solve interesting problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure. You will collaborate with a global team of full-stack, data, ML, and DevOps engineers, working together to build scalable and reliable backend solutions as we continue to grow. You'll Be a Good Fit If You: Have 3+ years of software engineering experience building and shipping production systems Have experience with a modern frontend framework, preferably React Know JavaScript and TypeScript, and are comfortable in Python - though we're open to strong candidates from other OO backgrounds Have strong fundamentals in system design, debugging, and problem solving Are comfortable with relational databases, ideally PostgreSQL Have experience with cloud environments, serverless technologies (Lambda, EC2), and asynchronous workflows Take ownership of your work and drive projects to completion with limited oversight Communicate proactively, surfacing blockers, asking the right questions, and keeping stakeholders in the loop Enjoy iterative improvement and care deeply about quality Are curious about AI, data, and real-world applications of machine learning Move fast, learn quickly, and value high standards Appreciate direct feedback, meritocracy, and transparency What We Offer: Competitive salary based on experience level Significant equity options package Direct work on core systems at a fast-growing AI startup transforming a $1T global industry Fully remote work from Europe Onsite team events in Warsaw and global team offsites Real responsibility and production impact from day one 20 days of PTO a year Gym, phone, and learning stipend reimbursement The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen 2022 - Rome 2023 - Buenos Aires 2024 - Lisbon 2025 - Cartagena). Kalepa's culture isn't for everyone, and that's ok. But for the people who are a fit, they can't imagine working elsewhere. About the role: Salary range: $80k - $105k USD We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As a core engineer at Kalepa, you'll work on real product and R&D systems at the intersection of software engineering and applied AI. You will own backend services, data and ML pipelines, and the infrastructure behind our product used by commercial insurance underwriters. You'll build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data, including documents, third-party sources, and model outputs. This is hands-on engineering work on problems that matter to the business, with ownership of systems end to end. You'll collaborate closely with experienced full-stack, backend, ML, and platform engineers, and you'll be expected to shape how production systems are designed, built, tested, and operated at scale. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll Be a Good Fit If You: Have 3+ years of professional software engineering experience building and shipping production systems Have excellent development skills including design, debugging, and problem solving Are strong in Python, with solid fundamentals in at least one other language Have worked with relational databases, with a preference for PostgreSQL Have experience with AWS and asynchronous or serverless workflows (EC2, Lambda, etc.) Can design and build data-driven microservices leveraging RESTful APIs Have a degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience Enjoy writing code and solving non-trivial technical problems Are curious about AI, data, and real-world applications of machine learning Take ownership and are comfortable working with ambiguity Move fast, learn quickly, and value high standards Appreciate direct feedback, meritocracy, and transparency What We Offer: Competitive salary based on experience level Significant equity options package Direct work on core systems at a fast-growing AI startup Fully remote work from Europe Onsite team events in Warsaw and global team offsites Real responsibility and production impact from day one 20 days of PTO a year Gym, phone, and learning stipend reimbursement The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for a Senior Software Engineer, Full-Stack located at our office in Redwood City, CA. Responsibilities: Design, develop, and maintain performant and scalable full-stack applications. Build and improve visual tools for application development and data science that enable users to build an end-to-end AI application quickly. Work very closely with, and incorporate feedback from Product Management, User Interaction Designers, Front-End and Back-End Engineers. Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing. Rapidly fix bugs, solve problems, and proactively strive to improve our products and technologies. Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques. Help build a team and cultivate innovation. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. 5+ years of professional software development experience with JavaScript, Java, or other object-oriented programming languages. Strong hands-on experience and understanding of object-oriented programming, data structures, algorithms, and web application development. Experience working JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. Real passion for developing team-oriented solutions to complex engineering problems. Thrive in a dynamic, rapidly changing environment and value end-to-end ownership of projects. Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability. Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment. Proficient in spoken and written English. Preferred Qualifications: Advanced degree in engineering, sciences or related field. Experience with Git or other version control software. Knowledge of Agile development methodology. Knowledge of distributed systems, test-driven development, SQL and NoSQL databases, and performance optimization tools. Experience in leading engineering teams and projects. Experience in building scalable web applications. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $169,000-$196,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Entrupy is hiring an Authentication Specialist I to help power our AI-driven authentication platform for luxury goods and high-value items. In this role, you'll capture detailed images using Entrupy's hardware, review AI results, and make accurate authenticity determinations that protect brands, marketplaces, and resellers from counterfeits. You'll document cases, flag edge scenarios, and collaborate closely with data science and product teams to improve models and workflows. This role is ideal for detail-oriented, tech-curious professionals who thrive in a fast-paced, mission-driven startup environment where accuracy, ownership, and collaboration matter. Responsibilities Operate Entrupy's authentication platform to assess luxury goods and high-value items for authenticity Capture and analyze item images using AI-powered tools and hardware devices Review system outputs, investigate edge cases, and flag potential counterfeits Document findings, maintain accurate case records, and follow standardized workflows Collaborate with data science and product teams to improve models and tools Support customers by clarifying authentication results and best practices Contribute feedback to refine processes, documentation, and training materials Maintain high accuracy, confidentiality, and quality standards in all decisions Required Skills Image capture and handling for computer vision tools Basic understanding of AI/ML and computer vision concepts Data entry and case documentation in ticketing or CRM tools Pattern recognition and visual inspection skills Quality control and audit review techniques Basic SQL or spreadsheet analysis (Excel/Sheets) Familiarity with e-commerce, resale, or marketplaces Hardware troubleshooting and setup for connected devices Customer support or stakeholder communication Process documentation and continuous improvement

Are you excited about the opportunity to join a diverse team working together to influence the direction of an innovative new cloud database? Does contributing to product engineering and business strategy for a new distributed database service match your career goals? If so, the role of Senior Product Manager in the Aurora Distributed SQL organization may be your dream job. Key job responsibilities Your primary responsibility as a Senior Product Manager - Technical (PMT) is to help accelerate the product engineering and business growth of Amazon Aurora DSQL. A Senior PMT achieves this growth by shaping and leading product strategy - turning insights and customer feedback into plans that accelerate delivery and delight customers. This includes taking ownership of roadmap prioritization, and contributing to feature development by acting as the voice of the customer throughout the software development lifecycle. You will collaborate directly with software engineering teams, and interact with senior business partners across marketing, finance, and sales organizations. A day in the life A successful candidate will demonstrate proven product management skills with experience delivering features for large scale enterprise information systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The candidate will demonstrate subject matter expertise in database technology and is familiar with related storage and server hardware. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 3+ years of technical (software development, network development, IT, other related) experience - 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) - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience, or degree in advanced technology 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

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo's growth priorities. In this hybrid role you will report to a Data Science Lead. You will: Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo. Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts. Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc. Become an expert in Waymo's evaluation ecosystem for onboard software. Understand how a broad variety of evaluation signals affect Waymo's launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria. Collaborate with product and engineering teams to build solutions for assessing Waymo's evaluation portfolio at scale and accelerate the development for new evaluation. Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL Strong communication/leadership to address a high surface area across different organizations and products Ability to navigate through ambiguous business requirements and propose a clear technical solution We prefer: PhD in a quantitative field Experience developing production-grade software and tools Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems Experience solving problems related to Autonomous Driving or Ride Hailing The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo's growth priorities. In this hybrid role you will report to a Data Science Lead. You will: Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo. Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts. Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc. Become an expert in Waymo's evaluation ecosystem for onboard software. Understand how a broad variety of evaluation signals affect Waymo's launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria. Collaborate with product and engineering teams to build solutions for assessing Waymo's evaluation portfolio at scale and accelerate the development for new evaluation. Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL Strong communication/leadership to address a high surface area across different organizations and products Ability to navigate through ambiguous business requirements and propose a clear technical solution We prefer: PhD in a quantitative field Experience developing production-grade software and tools Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems Experience solving problems related to Autonomous Driving or Ride Hailing The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry. What you'll do Take on ownership of the on-robot software stack. This spans low level sensor interfaces and motor control, up through higher level state machines, up to managing, controlling, and offloading data to the cloud. Work with a team to both lead and provide feedback on new designs, triage issues, and analyze system performance. Responsibilities Build out on the on-robot software stack, including implementing support for new hardware modules, triaging failures on existing modules, and implementing higher level state machines to efficiently manage incoming orders. Collaborate with culinary and product teams to gather requirements and translate them into technical solutions Integrate with delivery service providers to receive orders and provide status updates Create and integrate with the on-robot control panel interfaces Work alongside firmware, mechanical, electrical, and front end engineers to ensure cohesive system functionality Contribute to code reviews and architectural decisions What we're looking for Comfortable with C++ and Linux. Familiarity with documentation tools (for example wikis, markdown, docs) and writing design documents and playbooks. Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical team members. Desirable Skills Experience with ROS or similar robotics development frameworks. Experience with Vue3 and TypeScript for writing frontend web applications. Experience with Docker, Protobuf, Python, Terraform, and Git. Experience with embedded Linux distributions and deploying software onto physical devices. Familiarity with simulation environments, along with standing up simulated backend services or making use of such services in unit/integration tests. Familiarity with SQL, Superset, Jupyter notebooks, and other tools used for analyzing data. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Pittsburghoffice. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $174,000 - $222,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check 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 base 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 anticipated 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. Zone 1 Pay Range $180,000-$247,500 USD Zone 2 Pay Range $180,000-$247,500 USD Zone 3 Pay Range $180,000-$247,500 USD Zone 4 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.

About the Role Fayetteville Public Works Commission is seeking a highly skilled Senior Oracle Database Administrator (DBA) to support and manage enterprise database environments across on premise and cloud platforms. This role is responsible for ensuring the performance, integrity, availability, and security of Oracle databases that support critical business operations. The ideal candidate brings strong technical expertise, a service oriented mindset, and the ability to independently troubleshoot complex issues while partnering with internal teams to deliver reliable system performance. Key Responsibilities Database Administration & Operations Administer, maintain, and support Oracle databases across on premise and DBaaS environments. Perform database installation, upgrades, patching, backups, and recovery. Monitor database performance and tune systems to ensure optimal operation. Manage data replication, refreshes, and overall configuration management. Create and optimize complex queries, reports, and data extracts. Performance, Security & Reliability Maintain database integrity, security, and availability standards. Develop and manage backup and recovery strategies using RMAN. Implement and maintain disaster recovery (DR) and high availability (HA) solutions. Proactively monitor systems and resolve issues in alignment with service level agreements (SLAs). Technical Support & Problem Resolution Troubleshoot and resolve complex database issues across multiple environments. Manage and escalate Oracle Service Requests (SRs) with Oracle Support as needed. Support production and non production environments, including change management activities. Participate in system upgrades, testing, and technical design discussions. Collaboration & Continuous Improvement Partner with IT teams and business stakeholders to gather and document technical requirements. Contribute to performance optimization, system enhancements, and technical projects. Maintain documentation aligned with system lifecycle, standards, and best practices. Communicate effectively with users and stakeholders regarding system performance and issue resolution. What You'll Bring Strong experience with Oracle database platforms including 11g, 12c, 19c, and 21c, as well as Oracle Cloud Infrastructure (OCI) and DBaaS. Proficiency with Data Guard, Oracle Enterprise Manager (OEM), CRM/ERP databases, and Linux environments. Expertise in performance tuning, troubleshooting, backup/recovery strategies, and database security. Experience with scripting and data processing (SQL, PL/SQL, Python, Linux shell). Strong understanding of change management and production support processes. Excellent organization, analytical thinking, and problem solving abilities. Ability to work both independently and collaboratively in a team environment. Minimum Qualifications Option A: Bachelor's degree + 7 years database administration experience OR Associate degree + 11 years experience OR High school diploma + 15 years experience At least 1 year of lead experience preferred Preferred Qualifications Oracle DBA certification Experience with Oracle licensing and resource management Experience supporting enterprise level ERP/CRM systems Special Requirements Must possess and maintain a valid North Carolina Driver's License Physical Requirements Ability to perform the essential functions of the position, including extended computer based work. If you're an experienced Oracle DBA looking to contribute to a stable, mission driven organization supporting critical public infrastructure, we encourage you to apply. EMPLOYER'S RIGHTS: This job description is general and illustrative of the kind of duties required of this position. It is not exhaustive and does not contain a detailed description of all the duties that may be assigned to the incumbent occupying this position. Applicants must be currently authorized to work in the United States on a full-time basis. PWC does not offer employment-based visa sponsorship now or in the future. Grade-415X $99,523.24 - $131,121.86/ salary

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About the Role We're seeking an Associate Product Manager to drive high-impact initiatives across our Ads organization. This role sits at the intersection of product strategy, analytics, and engineering with ownership across our entire ads portfolio from day one. You won't be siloed into a single feature; you'll drive initiatives that touch Ads Manager, creative workflows, mobile app install, ecommerce, CTV, measurement, and strategic partnerships. You'll operate with significant autonomy in a fast-paced environment, working directly with leadership to shape product direction across AppLovin's advertising ecosystem. A Day in the Life Design and launch new advertiser experiences across our ads products, including creative-first workflows, campaign management tools, and new ad formats. Own advertiser pilot programs by identifying early adopters, coordinating feedback across Product, Engineering, Design, and Client Strategy teams, and measuring uplift in key KPIs like usage and adoption. Experiment with ad experience formats and analyze performance data to determine what drives better outcomes for advertisers and users. Define success metrics and evaluate product performance through rigorous experimentation and A/B testing. Build analyses using SQL to understand advertiser behavior, product usage, campaign performance, and revenue impact. Identify product gaps and growth opportunities, develop product recommendations, and influence roadmap decisions through quantitative data, customer feedback, and market insights. Help scope and launch integrations with third-party measurement, attribution, and ecommerce platforms. Partner with Engineering, Product Design, Business Development, and Growth teams to drive initiatives from concept through launch including ideation, scoping, prototyping, QA testing, gathering client feedback, and post-launch measurement. Monitor key business metrics, investigate performance trends, and develop recommendations that influence product strategy. The Impact You'll Make Drive measurable improvements in advertiser adoption, engagement, and product usage. Shape the evolution of AppLovin's advertising platform through experimentation and data-driven decision making. Influence product strategy across mobile, ecommerce, and CTV advertising products. Help advertisers achieve stronger outcomes through improved workflows, tools, and measurement capabilities. Build scalable frameworks for experimentation, product measurement, and feature rollout. Who You Are Bachelor's degree or higher in Engineering, Computer Science, Economics, Finance, Statistics, Mathematics, Business Analytics, or a related quantitative field. 2-4 years of post-graduation experience in product, business operations and analytics, management consulting, investment banking, or investing. Strong SQL skills and proficiency in at least one scripting language (Python strongly preferred). Demonstrated ability to independently scope ambiguous problems, design analyses, synthesize findings, and present recommendations. Strong track record of driving measurable business impact through data-driven decision making. Highly analytical with excellent problem-solving skills and business judgment. Comfortable operating in a fast-paced environment with significant ownership and autonomy. Strong communicator who can influence both technical and non-technical stakeholders. Naturally curious, proactive, and motivated by solving complex business problems. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to . CA Base Pay Range $111,000-$167,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Exemption Status: United States of America (Non-Exempt)$29.32 - $38.85 - $48.38 "Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors. A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate." This position is not eligible for Sponsorship. MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team! Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare. At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution! Job Description Summary The Testing & Validation Analyst II is responsible for ensuring the quality, accuracy, and reliability of systems, applications, and business processes through structured testing and validation. This role designs and executes test strategies, develops test cases, and analyzes results to identify defects, risks, and gaps against defined requirements and regulatory standards. Working cross-functionally with business stakeholders, developers, and project teams, the analyst validates that solutions meet both functional and non-functional requirements, supports defect resolution, and ensures readiness for deployment, while maintaining detailed documentation, tracking testing progress, and contributing to continuous improvement of testing methodologies, tools, and overall quality assurance practices. Essential Duties and Responsibilities include the following. Other duties may be assigned. Leverage Configuration Services best practices to validate design objectives, processes, and procedures, including development of data sets, test scenarios, expected results, and acceptance criteria. Design, standardize, and maintain testing scenarios, use cases, and expected outcomes to improve testing efficiency, consistency, and repeatability. Collaborate with business partners and cross-functional teams to validate configuration accuracy for ongoing maintenance, new client implementations, and special projects. Ensure high levels of customer satisfaction by confirming that business requirements-particularly benefit change requests-are clearly understood, accurately documented, thoroughly tested, and effectively communicated. Execute testing scenarios and analyze claims adjudication outcomes to identify discrepancies, inaccuracies, anomalies, and unintended impacts; provide recommendations and implement solutions to improve configuration accuracy and performance. Support and mentor team members by assisting in the development and analysis of complex test plans, design validations, and execution strategies. Contribute to continuous quality improvement by adhering to departmental standards and proactively identifying opportunities to enhance processes, tools, and overall testing efficiency. Validate adjudication configurations and support the promotion of approved changes from test environments to production in accordance with established governance and best practices. Supervisory Responsibilities No supervisory responsibilities Client Responsibilities This is an internal and external client facing position that requires excellent customer service skills and interpersonal communication skills (listening/verbal/written). One must be able to; manage difficult or emotional client situations; Respond promptly to client needs; Solicit client feedback to improve service; Respond to requests for service and assistance from clients; Meet commitments to clients. Qualifications 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 to perform the essential functions. Education and/or Experience BS/BA and 3+ years' experience or equivalent combination of education and experience Computer Skills Intermediate to advanced knowledge of MS Office / Word, Excel PowerPoint, and Outlook. Experience as an advanced user of multiple business software applications and working knowledge of key technical applications such as SQL, Oracle based platforms, and Golden 32. Experience in SQL queries and writing test plans/ cases required. Certificates, Licenses, Registrations Pharmacy Technician License or National Certification preferred but not required. Other Skills and Abilities Strong knowledge of software testing methodologies (UAT, integration, regression, end-to-end testing) Ability to design complex test scenarios, use cases, and acceptance criteria Ability to clearly translate business requirements into testable conditions Ability to gather and document business requirements and client specifications Advanced ability to analyze claims adjudication results and interpret discrepancies Strong stakeholder engagement skills across business, IT, and operations Excellent written and verbal communication, especially for documenting test results and issues Capability to present findings and recommendations to leadership or non-technical stakeholders Knowledge of healthcare/Medicaid/FFS and MCO program structures Understanding of data validation and environment promotion processes Ability to manage multiple priorities in a fast-paced environment Detail-oriented with a high degree of accuracy and accountability Reasoning Ability Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Mathematical Skills Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Language Skills Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Competencies To perform the job successfully, an individual should demonstrate the following competencies: Composure Decision Quality Organizational Agility Problem Solving Customer Focus Drive for Results Peer Relations Time Management Dealing with Ambiguity Learning on the Fly Political Savvy Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee is regularly required to stand; walk; use hands to finger, handle, or feel and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Ability to maintain clear near visual acuity at approximately 20 inches or less (i.e., "close vision") to accurately read fine print, view computer screens, and handle small objects. Requires adequate color vision and depth perception to support safety and precision in detail-oriented tasks. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This position may regularly be exposed to or encounter moving mechanical parts, high, precarious places, fumes or airborne particles, toxic or caustic chemicals, outdoor weather conditions, risk of electrical shock or vibration. The noise level in the work environment is usually moderate (examples: business office with computers and printers, light traffic). Work Location This position works on-site at the San Diego Headquarters or other company location (or from a remote location with management approval based on business requirements). Must provide adequate support to internal clients; be available for regular interactions and coordination of work with other employees, colleagues, clients . click apply for full job details

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our TechnicalSpecialists, are critical to this expansion, enabling us to scale safely and efficiently. Why this team is Essential to Waymo's Success: In this role you will: Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows. Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance. Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features. A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment. Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment. You have: BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring. Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics. Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team. We prefer: Demonstrated strong execution with ability to drive outcomes. Experience working with offshore teams / multiple local operations hubs. Basic SQL querying. Competency in LLM / transformer models, and / or ML for robotics domain experience. A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions. Self-motivated with basic skills in task planning and time management. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year (Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $130,000-$160,000 USD

Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions-integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more-to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You'll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers. This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform-designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them. You'll have the opportunity to: Lead and own the technical solution design across Data 360 and Agentforce-including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data. Design scalable and secure data architectures on Salesforce Data 360-defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies. Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes. Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices. Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions. Oversee and contribute to all stages of the project lifecycle-from initial design through development, testing, and final deployment. Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. Establish DevOps, source control, and CI/CD practices for data and AI solutions. Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities. Required Qualifications 6+ years of experience in application, data, or software development and architecture 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)-data streams, DLOs, DMOs, identity resolution, calculated insights, and activation Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java) Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift) Understanding of data modeling, governance, security, and privacy best practices Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles Strong communication skills; the ability to convey complex technical details to all audiences Preferred Skills Hands-on experience with Agentforce or other Generative AI / agentic platforms Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist Experience defining robust testing approaches for data and GenAI solutions Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 06/03/2026 and open for at least 3 days. California Annual Salary Range $94,400 - $266,300 USD Cleveland Annual Salary Range $87,400 - $213,000 USD Colorado Annual Salary Range $94,400 - $230,000 USD District of Columbia Annual Salary Range $100,500 - $245,000 USD Illinois Annual Salary Range $87,400 - $230,000 USD Maryland Annual Salary Range $94,400 - $230,000 USD Massachusetts Annual Salary Range $94,400 - $245,000 USD Minnesota Annual Salary Range $94,400 - $230,000 USD New York / New Jersey Annual Salary Range $87,400 - $266,300 USD Washington Annual Salary Range $100,500 - $245,000 USD Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. What's it like to be a part of NeuraFlash, Part of Accenture? Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you're one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we're focused on keeping everyone connected and unified as one team. Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don't mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients. Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn't possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done Collaboration: You have a voice here! If you work with a team of smart people like we do, it's a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small. Celebrate Often: We take our work seriously, but we don't take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don't forget to slow down and celebrate the big things and the small things together.