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Position Summary Transform lives by designing and implementing robust integration solutions between disparate software applications using various middleware platforms to include Mid-State Enterprise Resource Planning (ERP) tools and Active Directory environments. This is not a remote position and will require an on-campus presence. Duties & Responsibilities Plan, execute, and manage the integration and support of new and existing applications into Mid-State's ERP and AD environments. Troubleshoot and provide technical guidance for integrated software application issues, ensuring high availability and performance of connected applications. Integrate systems technologies. Improve application performance to include evaluating existing applications for effectiveness and making recommendations for improvement as appropriate. Document integration designs, configurations, and operational procedures for future reference and knowledge transfer. Support security subsystems. Collaborate with business users and business analysts to translate business requirements into technical integration specifications. Develop and maintain APIs and connectors to facilitate seamless data exchange and process automation across enterprise systems. Other duties as assigned. Qualifications Bachelor's degree in Programming or related field required. Minimum of three years of experience with API Design and Management (REST, GraphQL, OData, Lingk, OpenAPI/Swagger). Minimum of five years of experience within the Microsoft Development Environment C#, MSSQL, ASPNET.CORE; on the Microsoft stack; and with SQL (complex queries, stored procedures, table design). Knowledge of multiple integration disciplines, web services, REST, OData, file based with FTP. Experience with system integration architecture and design; project management; Visual Basic.NET, Web and Server-Side programming; Windows and Exchange PowerShell. Must possess excellent problem resolution, organizational, interpersonal, communication, and project management skills. Must possess ability to: Achieve a satisfactory level of technical, functional, and/or professional skill or knowledge in position- related areas; keep up with current developments and trends in areas of expertise; leverage expert knowledge to accomplish results. Leverage one's practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results, solve work problems, and take advantage of new business opportunities. Place a high priority on the (internal or external) customer's perspective when making decisions and taking action; implement service practices that meet the customers' and own organization's needs. Identify and understand problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choose the best course of action by establishing clear decision criteria, generate and evaluate alternatives, and make timely decisions; take action that is consistent with available facts and constraints and optimizes probable consequences. Maintain effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjust effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful. Take prompt action to accomplish work goals; take action to achieve results beyond what is required; be proactive. Set high standards of performance for self and others; assume responsibility and accountability for successfully completing assignments or tasks; self-impose standards of excellence rather than having standards imposed. Demonstrate a positive attitude and approach toward work. Must embrace Mid-State's core values of student centeredness, commitment, accountability, respect, integrity, and exceptional service. Compensation & Benefits Compensation is dependent upon experience and qualifications. Benefits include health, dental, and vision insurance; life insurance; short-term and long-term disability; paid time off and holidays; flexible spending account; Wisconsin Retirement System; 403(b) and 457; employee assistance program; educational assistance; and employee wellness program. How To Apply To be considered for this position, you must complete an online application. You should have the following information available when completing an application: Contact information (addresses, phone numbers) Employment History Education Electronic copy of resume and transcripts Application materials submitted via mail, fax, email, or in-person will not be considered. Incomplete applications or applications noting "See Resume" will not be considered. Continuous recruitment with first review of completed applications starting March 3, 2026. Applications received on or after March 3rd may be considered in a secondary pool. Please note that Mid-State's main form of communication during the recruitment process is email. In addition to receiving communications from email addresses with domain, you may receive emails from . Please be sure to watch your inbox as well as junk, spam, and clutter folders. Equal Opportunity Mid-State Technical College, an equal opportunity employer and educator, does not discriminate on the basis of race, color, national origin, gender, disability, sexual orientation, or other applicable legislated categories, in its services, employment programs, and/or its educational programs and activities, including but not limited to admission, treatment, and access. Mid-State Technical College provides reasonable accommodations to assist persons with disabilities to access or participate in its programs and activities. The following person has been designated to handle inquiries regarding the nondiscrimination policies: VP-Human Resources, 32nd Street N, Wisconsin Rapids, WI 54494, Phone: or Email:. Optimize Your Online Application Experience Below you will find a few technical tips to help ensure a positive and successful online application experience: Be sure to fill in each field in the application. You will receive an error message at the time of submission and your application will not be submitted if each required field is not filled in. Avoid clicking the back, forward, or refresh buttons while applying. Doing so will interfere with the submission and may result in data loss. Clear your browser's temporary files/cache and cookies prior to beginning the application. Disable pop-up blockers. Do not bookmark or favorite the application. Navigate to the careers site each time you wish to access your saved/submitted application. Your application session will remain open for 24 hours assuming you do not close your browser. To ensure submission, complete the application process within that time frame. The following browsers are currently supported: Internet Explorer 9, 10, 11 Firefox Google Chrome Safari The following operating systems are currently supported: Windows 7 and 8, both 32-bit and 64-bit, as well as Mac OS 10.6 and greater. If you experience issues in submitting your online application, please contact Human Resources at .

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

City/State Richmond, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior Benefit Configuration Analyst! No Degree required! This position is fully remote! Candidates must have a current residence in one of the following states or be willing to relocate: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington State, West Virginia, Wisconsin, Wyoming Overview The Senior Benefit Configuration Analyst is responsible for the analysis, design, build, and validation of complex benefit configurations within the QNXT platform to support accurate claims adjudication and compliance. This role works closely with Product, Compliance, IT, Network and Claim's teams to ensure benefit plans are implemented accurately, timely, and in accordance with regulatory and contractual requirements. The senior analyst serves as a business and technical expert in QNXT benefit build and plays a key role in supporting new plan implementations, annual updates, and ongoing configuration maintenance. Key Responsibilities: • Analyze benefit plan documentation (e.g., EOCs, SOBs, ) and translate into QNXT configuration requirements. • Build and configure new and updated benefits in QNXT, including Product, Plan, Service Codes, Copay/Coinsurance, Accumulators, Limits, and Authorization rules. • Use QNXT Configuration Management Tool (CMT) and QNXT Configuration Console Suite (QCS) to manage configuration packages and perform impact analysis. • Execute back-end data validations using SQL to ensure configuration accuracy and resolve complex issues. • Participate in end-to-end testing (UAT) of benefit builds and coordinate defect resolution with QA and claims teams. • Support annual benefit configuration activities such as Medicare, Medicaid contract updates, or Exchange plan changes. • Serve as a subject matter expert (SME) for benefit build logic, configuration architecture, and claims-related business rules. • Document configuration logic and maintain version-controlled artifacts for audit and compliance purposes. • Provide mentorship and support to junior configuration analysts and assist in training initiatives. • Collaborate with cross-functional teams during product launches, regulatory changes, or system upgrades. Education Minimum 6 years of experience, which includes 2 years of directly related experience in lieu of a bachelor's degree required. Or Bachelor's degree in healthcare administration, Information Systems, or related field with 4 years of progressive, relevant professional experience required Certification/Licensure No specific certification or licensure requirements Experience Required to have hands-on benefit configuration experience, preferably in a managed care or health plan environment. Required to have a strong working knowledge of QNXT system architecture, including configuration tables, benefit logic, and claims integration. Required to have strong understanding of regulatory requirements across Medicare, Medicaid, ACA, and Commercial plans. Required to have excellent analytical, organizational, and problem-solving skills, strong written and verbal communication including technical documentation. Excellent interpersonal skills and team oriented. Preferred Qualifications Proficiency in Microsoft SQL Server (T-SQL) for data validation and troubleshooting. Experience with CMT and QCS tools for version management, configuration migrations, and build monitoring. Familiarity with implementation methodologies for new products or market launches. Knowledge of healthcare claims lifecycle, pricing, and accumulators. Lean Six Sigma or process improvement background is a plus. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $ 69,867.20 - $ 116,438.40. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

About Glean About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. The Role The Agents Runtime team builds the low-latency, reliable, and secure foundation that powers Glean's AI agents and assistant experiences at scale. You'll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You'll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy - while optimizing cost and reliability. You Will Own impactful runtime problems end-to-end - from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation. Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence. Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. You Are 3+ years of software engineering experience building production distributed systems or cloud-native applications. BS/BA in Computer Science or related field, or equivalent practical experience. Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests. Product-minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers. Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths. Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization. Location This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development

Overview 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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. 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 $332,000-$421,000 USD

Economic Mobility Center Dallas, Texas (Hybrid, with regional and national engagement) About the Economic Mobility Center The Economic Mobility Center (EMC) is a mission-driven non-profit that was formed by the Commit Partnership and Dallas College that is committed to transforming regional systems to ensure more young people - particularly those historically underserved - navigate successful journeys from middle school through post-secondary education into sustainable-wage careers. EMC is the umbrella non-profit where both the Dallas County Promise and Economic Mobility Systems (EMS) operate. We serve as a workforce intermediary inside Dallas County, aligning K-12, higher education, employers, and community partners to close equity gaps and accelerate economic mobility while running the Dallas County Promise. Outside Dallas County we serve to support other intermediaries and partners in developing and executing their regional talent systems that support student success. Position Summary The Chief Strategy and Product Officer (CSPO) will serve as a key executive leader, reporting to the CEO, responsible for driving the Center's overall product vision, technology roadmap, data strategy, and analytics initiatives. This role is pivotal in positioning the Economic Mobility Center as a premier regional workforce intermediary, developing tools and strategies that enable Dallas and other communities to own the full student journey from middle school to meaningful employment. As a critical partner to the CEO and Board-and in close collaboration with the COO and Chief Program Officer-the CSPO will lead the integration of technology and data into the Center's strategic initiatives, ensuring we meet the evolving needs of students, families, educators, and workforce partners. Key Responsibilities Lead the strategic development and execution of the Center's product, technology, data, and analytics agenda, aligned to our mission of improving student-to-career outcomes. Oversee cross-functional teams encompassing product management, technology development, analytics, and data systems. Serve as a key member of the executive leadership team, contributing to organizational strategy, partnerships, and funding growth. Product & Technology Leadership Shape the long-term product strategy including our Salesforce-centered architecture and the evolution of a student & family experience app that supports the full educational and career lifecycle. Ensure product design is informed by user research and co-creation with students, families, educators, and employers. Oversee development, maintenance, and scaling of technology platforms that connect disparate systems into a seamless ecosystem of support. Regional Data Strategy & Hub Leadership Lead the design, development, and governance of a regional data hub, integrating data across K-12, higher education, workforce, and employer systems. Drive data-sharing agreements and technical infrastructure that enable secure, interoperable, real-time and longitudinal data flows. Ensure data architecture supports sophisticated analytics, predictive models, and dashboards that provide actionable insights to students, families, counselors, and administrators. Analytics & Insight Generation Build an advanced analytics strategy that empowers regional partners to understand and respond to student needs across the middle school-to-career continuum. Develop tools and dashboards that give students, staff, and leaders historical and real-time visibility into progress and interventions. External Partnerships & Systems Engagement Serve as a credible and strategic thought partner to CTOs and CIOs of school districts, higher education institutions, and workforce organizations, translating complex technical concepts into aligned regional action. Represent the Economic Mobility Center in local, state, and national convenings on data interoperability, student success technology, and workforce innovation. Ideal Candidate Profile 10+ years in education technology or data systems leadership, ideally with Chief Product Officer or equivalent experience in an ed tech, workforce, or public sector innovation environment. Demonstrated success owning the full product lifecycle-from discovery and user research through development, launch, and continuous iteration-grounded in clear product vision and measurable outcomes. Deep technical fluency in data integration, regional data hubs, and system interoperability, especially across K-12, postsecondary, and workforce datasets. Experience leading engineering teams or overseeing large software system builds. Familiarity with API management, cloud infrastructure, cybersecurity best practices, or agile/DevOps environments. Track record of building and scaling products on platforms like Salesforce, and designing compelling digital experiences for diverse user groups (students, families, educators). Significant experience collaborating with public systems leaders (school district CIOs/CTOs, higher education data leaders, workforce board data/tech leaders). Master's degree in relevant field Visionary product strategist with a user-centered mindset and expertise in building products that drive equitable outcomes. Strong technical communication skills - able to connect technical architectures to on-the-ground needs, and build trust with engineers and policy executives alike. Proficiency in advanced analytics concepts, including predictive models and data visualization. A collaborative, humble leader who thrives in cross-sector environments and is deeply committed to improving economic mobility. Why Join Us? This is an opportunity to help redefine how communities support young people from middle school all the way into meaningful, sustaining careers. As Chief Strategy and Product Officer, you'll shape the future of regional data and technology infrastructure, ensuring more students have the guidance and support they need to succeed. Competitive benefits package, including: Competitive salary (commensurate with experience) Bonus opportunity 15 days of Paid time off 14 paid holidays 403(b) retirement plan with company match. Health, dental, and vision insurance. Flexible spending accounts FSA and HSA. Hybrid work schedule based in Dallas, TX (75247)

Overview Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. Role Summary The Impact of a Sr. Lead Platform Engineer at Coupa: At a technical level your development team will offer application and infrastructure support for customer environments. You'll have the opportunity to collaborate across software products with engineers all over the company and globe to plan and deploy product releases. We are looking for an extremely talented Sr Lead Software Engineer to join our Technology Platform Team. You will be part of a global agile group that is responsible for building the best in class SaaS platform, deployment infrastructure, and services. The position will require a candidate to design, develop, maintain, and scale Coupa's platform systems, services, and operational automation. Our main languages are Ruby and Go, and we expect you to be able to contribute in either. What You'll Do Act as a hands-on contributor, designing, developing, maintaining, and scaling Coupa's platform systems and services Build reusable microservices, platform components, and frameworks to support standardized data flows (APIs, files, message queues) Participate in architectural planning, code reviews, and operational design to ensure high-quality, scalable solutions Promote engineering best practices including unit testing, automation, and clean code principles Collaborate closely with other teams to simplify deployment, operations, and integration of platform components Drive continuous improvement by identifying and implementing enhancements to the platform, processes, and overall business What You Will Bring to Coupa 7+ years of software development experience, with at least 4 years as a Senior Software Engineer Proficient in modern MVC web frameworks, especially Ruby on Rails, and programming languages like Ruby and Go Hands-on experience with cloud-native architecture and technologies such as Kubernetes, AWS EC2, and similar elastic cloud platforms Skilled in working with SQL and NoSQL databases (MySQL, Redis, MongoDB) and high-throughput messaging systems like Kafka or Resque Strong understanding of software development best practices, design patterns, and agile methodologies (Scrum preferred) Self-motivated with excellent communication skills and a Bachelor's degree in Computer Science or equivalent experience Extra considerations Experience managing and enhancing CI/CD pipeline software/tools, such as Jenkins Experience with Docker Compensation and Benefits The estimated pay range for this role is $167,025 - $241,000. The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. Compliance and Privacy By submitting your application, you acknowledge that you have read Coupa's Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. Details about data processing and retention are described in our Privacy Policy. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Finance and Consulting Industries: Financial Services and Hospitals and Health Care Referrals increase your chances of interviewing at Coupa by 2x We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .

Job Title: Salesforce Project Manager Location: NY/NJ (Hybrid - 3 days/week) Role Summary Seeking a Senior Project Manager to lead Salesforce B2B delivery projects, managing end-to-end execution, stakeholders, and cross-functional teams. Key Responsibilities Manage multiple Salesforce projects (scope, timeline, budget) Drive project execution, risk management, and milestone delivery Collaborate with IT, architecture, integration, and business teams Coordinate vendors, MSPs, and internal stakeholders Manage change control, reporting, and executive updates Support UAT, training, and deployment readiness Oversee ServiceNow workflows/integrations Required Skills 6-9 years of IT Project Management experience Strong Salesforce implementation experience ServiceNow (SNOW) expertise Agile methodologies (Scrum/PM tools) Strong stakeholder communication & reporting skills Preferred Salesforce-SAP integration experience PMP / CSM / PMI-ACP certifications Experience in large enterprise environments

Job Title: Salesforce Project Manager Location: NY/NJ (Hybrid - 3 days/week) Role Summary Seeking a Senior Project Manager to lead Salesforce B2B delivery projects, managing end-to-end execution, stakeholders, and cross-functional teams. Key Responsibilities Manage multiple Salesforce projects (scope, timeline, budget) Drive project execution, risk management, and milestone delivery Collaborate with IT, architecture, integration, and business teams Coordinate vendors, MSPs, and internal stakeholders Manage change control, reporting, and executive updates Support UAT, training, and deployment readiness Oversee ServiceNow workflows/integrations Required Skills 6-9 years of IT Project Management experience Strong Salesforce implementation experience ServiceNow (SNOW) expertise Agile methodologies (Scrum/PM tools) Strong stakeholder communication & reporting skills Preferred Salesforce-SAP integration experience PMP / CSM / PMI-ACP certifications Experience in large enterprise environments

Description: At Seek Thermal , we bring visibility to the unseen. Our innovative thermal imaging technology empowers professionals and consumers to measure, detect, and visualize heat - transforming the way people work, protect, and explore. Our products serve diverse markets including consumer electronics, industrial safety, public safety, and OEM applications. Position Summary The Senior Systems Engineer will lead the design, integration, and verification of advanced thermal imaging systems. Working closely with hardware, firmware, optical, and manufacturing teams, this role plays a key part in delivering innovative imaging products from concept through production. This position reports directly to the VP of Engineering and will be instrumental in defining system architecture, validating performance, and mentoring team members to uphold engineering excellence. Key Responsibilities Define and manage system architecture and technical requirements for thermal imaging products. Perform system-level analyses and develop performance budgets (NETD, MTF, latency, throughput). Collaborate with product management and technical leads to align product roadmaps and engineering strategies. Develop and execute validation and verification plans for reliability, performance, and compliance. Conduct root cause analysis and corrective actions for system-level issues across development phases. Lead design reviews, ensuring requirements traceability and risk mitigation. Partner with manufacturing, quality, and test teams to ensure smooth transition to production. Mentor junior engineers and drive continuous improvement in systems engineering processes. Skills & Competencies Strong foundation in imaging sensor and system design. Proficiency in MATLAB, Python, or similar tools for modeling and analysis. Experience with optical alignment, calibration, and performance optimization. Familiarity with AI-enhanced imaging, intelligent edge processing, or semiconductor fabrication preferred. Excellent communication, documentation, and leadership skills. Ability to thrive in a fast-paced, collaborative environment. Requirements: Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Physics, or a related discipline. Minimum of 7 years of experience in embedded systems or sensor-based product development. Why Seek Thermal Collaborate with experts shaping the future of thermal imaging. Be part of a mission-driven team that values innovation, quality, and integrity. Competitive compensation, benefits, and opportunities for career growth. PM18 Compensation details: 00 Yearly Salary PI80aaf9f8f6-

Headquartered in Colorado Springs, Colorado, Focus on the Family has nearly 700 employees who work to achieve the mission of enriching the lives of families, engaging the culture, advocating for life and spreading the Gospel of Jesus Christ. The work is meaningful, the culture is rewarding, and the purpose is eternal. The Chief Digital & Innovation Officer (CDIO) is accountable for shaping and enabling the ministry's digital future in direct service of mission, scale, and constituent trust. This role establishes technology, data, and digital platforms as a unified, enterprise capability that advances clarity, agility, stewardship, and measurable ministry impact. The CDIO defines the enterprise digital vision, establishes architectural and data coherence; owns the decision frameworks governing enterprise digital investment and prioritization; and builds empowered leadership teams capable of sustaining today's mission while intentionally preparing the ministry for future opportunities and risks. Through this leadership, technology functions as a strategic enterprise capability that enables ministry delivery, deepens constituent engagement, and strengthens organizational decision making, integrated into how the ministry plans and operates. Essential Duties/Responsibilities Enterprise Digital Strategy & Vision: Owns and articulates the enterprise digital strategy aligned to ministry mission, long term organizational strategy, and a constituent intimacy value discipline. Establishes a clear digital north star that governs platform choices, investment prioritization, sequencing, and trade offs across the enterprise. Defines enterprise decision frameworks that balance speed, scale, risk, and stewardship, prevent fragmentation, duplicative platforms, and siloed innovation. Makes digital strategy inseparable from ministry strategy, shaping how the organization delivers impact today while positioning it for future growth and resilience. Digital Architecture & Operational Enablement: Owns enterprise architectural direction across applications, data, integration, infrastructure, and security to reduce complexity, improve interoperability, and enable scalable ministry delivery. Is accountable for ensuring core platforms (e.g., CRM, ERP, CMS, marketing automation, digital experience, data platforms) are selected, evolved, and governed based on enterprise outcomes rather than local optimization. Holds senior leaders accountable for reliable, secure, and resilient technology operations, with cybersecurity, risk management, compliance, and business continuity operating as foundational enablers of ministry effectiveness. Establishes enterprise operating principles and service expectations that reinforce partnership, stewardship, clarity of ownership, and shared accountability. Innovation, Experimentation & Emerging Capability: Establishes a disciplined enterprise approach to innovation that includes experimentation, piloting, learning, and intentional scaling. Identifies and evaluates emerging technologies and delivery models (e.g., AI, automation, personalization, new engagement channels) with the potential to advance ministry reach, relevance, and effectiveness. Balances innovation with mission integrity, ethical responsibility, operational sustainability, and constituent trust. Data Strategy, AI Enablement & Governance: Owns the enterprise data and analytics strategy, ensuring leaders and teams have access to trusted, decision grade information. Guides the strategic application of analytics and AI to enhance ministry outcomes, strengthen constituent engagement, and enable insight led decision making at all levels of the organization. Establishes and governs responsible data and AI frameworks that protect constituent privacy, reinforce trust, and safeguard the ministry's credibility. Institutionalizes the use of insight across planning, execution, and measurement, embedding data informed decision making into how the ministry operates. Executive Partnership & Enterprise Change Leadership: Serves as a trusted strategic advisor to the CEO and executive leadership team on the digital, data, and technology implications of ministry strategy, investment decisions, and enterprise priorities. Partners closely with the Chief Constituent Experience Officer (CCXO), sharing accountability for translating mission into coherent, digitally enabled constituent experiences across the ministry. Leads enterprise change by shaping culture, clarifying decision rights, and aligning cross functional leaders-rather than through systems deployment alone. Leadership, Culture & Talent Development: Builds and leads an enterprise digital and technology leadership team oriented toward outcomes, learning, and accountability. Develops future ready leaders capable of operating in ambiguity, managing complexity, and leading sustained change. Creates a culture where clarity of ownership, measurable outcomes, and continuous improvement replace heroics and reactive execution. Models servant leadership consistent with Focus on the Family's Christian mission, values, and commitment to people. Other Duties/Responsibilities Performs other duties as assigned. Managerial Breadth/Scope of Job Leads an enterprise digital and technology organization of 50+ employees. Direct reports include senior leaders responsible for applications, data and analytics, infrastructure and security, and operations. Accountable for strategic partners and offshore teams through clearly defined leadership and governance structures. Working Environment/Physical Requirements Onsite office environment. Job Qualifications/Requirements Character/Spiritual Exemplifies Ephesians 5:1-2, "Therefore be imitators of God as dear children and walk in love, as Christ also has loved us and given Himself for us " Pursues the Great Commission given by Jesus Christ in Matthew 28:19-20, "Go therefore and make disciples of all the nations, baptizing them in the name of the Father and of the Son and of the Holy Spirit, teaching them to observe all things that I have commanded you; and lo, I am with you always, even to the end of the age." Is a consistent witness for Jesus Christ; maintains a courteous, Christ like attitude in dealing with people within and outside of Focus; adheres to the Standard of Moral Conduct and Statement of Faith; upholds Focus on the Family's ministry in prayer. Prays personally for Focus on the Family's staff and constituents and may occasionally lead in a public prayer. Engages in Christian ministry. Demonstrates behaviors aligned with FOF core values. This position is a "position of responsibility" as defined in the Focus on the Family Moral Policy and is subject to the parameters defined therein regarding divorce. This role is considered a Spokesperson for Focus on the Family and should represent Focus' position and tone at all times. Personal Characteristics Senior leadership skills, able to work with, motivate and direct others - individually and as a team. Mature and professional / can represent the ministry to internal and external constituencies. Diplomatic, peacemaker, flexible, approachable. Detail oriented, self motivated, self accountable, concern for long term effectiveness. Assertive, articulate, decisive. Establishes high personal work standards and works to achieve them because of internal motivation. Maintains a high level of motivation for work despite problems, changes, or daily work demands. Knowledge/Experience Demonstrated experience as a senior enterprise leader responsible for defining and executing digital, data, and technology strategy aligned to organizational mission and long term goals. Proven track record of leading large scale digital transformation involving organizational change, platform consolidation, and cultural shift-not solely technology implementation. Experience operating as a peer within a C suite or executive leadership team, influencing strategy, investment decisions, and enterprise priorities. Strong background in establishing enterprise architecture, data strategy, and governance models that enable agility, trust, and scalability. Demonstrated ability to balance innovation and experimentation with stewardship, risk management, and operational sustainability. Experience enabling constituent or customer centric models through digital platforms, data, and integrated experiences. Sufficient technical depth across modern platforms (cloud, CRM, ERP, digital experience, data, AI enabled capabilities) to set direction, ask incisive questions, and hold leaders accountable without serving as the primary technical expert. Thorough understanding of Focus on the Family's mission, values, and the cultural, social, and political issues impacting families. Skills, Abilities, and Special Talents/Gifts Strategic and collaborative leader with strong servant leadership instincts. Executive presence. Strong organizational skills. Polished social skills. Ability to develop strategic plans for multiple function division. Requires considerable ingenuity and judgment to solve complex problems. Leadership: Strong change management capabilities, with the ability to influence and lead cross functional teams. Business Acumen: Ability to translate technical capabilities into measurable business outcomes. Pay Range $197,600 to $281,040 Application Materials Required Colorado Residents: In any materials you submit . click apply for full job details

What's the Role? The Senior IAM Directory Services Engineer plays a critical role in shaping the future of identity at Northwestern Mutual. This position partners with engineering teams, security architects, product managers, and vendors to design, automate, and modernize our identity ecosystem. We are looking for an engineer who is forward thinking, automation driven, and passionate about leveraging modern identity technologies, including AI-assisted threat detection, advanced authentication patterns, and infrastructure as code. This role is responsible for engineering, enhancing, and supporting Identity and Access Management capabilities with a focus on Entra ID, Active Directory, application integrations, Identity Provider (IdP) technologies, and Zero Trust authentication models. What You'll be doing: Engineer and support enterprise identity solutions across Entra ID, Active Directory, SSO, and federated identity platforms (OAuth/OIDC, SAML, WS Fed). Design and maintain policies for MFA, Conditional Access, workload identities, and modern authentication protocols. Develop automated IAM workflows using PowerShell, Python, Terraform, GitLab/GitHub CI/CD, and other IaC frameworks. Create predictable and repeatable deployment patterns for identity services through CI/CD pipelines. Identify opportunities for automation and help evolve an "automate first" engineering culture. Use tools such as Splunk, Crowdstrike Identity Protection, Bloodhound and other monitoring platforms to analyze identity logs, detect anomalies, and drive resolution. Work with product and engineering leaders to assess and pilot AI-driven identity technologies. Lead complex problem resolution and support escalations requiring deep IAM expertise. Document architecture, decisions, playbooks, and engineering patterns. Collaborate in agile teams and mentor engineers on identity engineering best practices. What You'll Bring to the role: Bachelor's degree in computer science, Cybersecurity, Information Systems, or equivalent experience. 5+ years of professional engineering experience in IAM or directory services. Strong experience with Active Directory, Entra ID, SSO/IdP integrations, identity lifecycle automation, and Conditional Access. Hands-on experience with scripting/automation (PowerShell and/or Python). Experience with CI/CD pipelines (GitLab, GitHub, Azure DevOps). Knowledge of cloud identity patterns across Azure, AWS, and SaaS providers. Strong problem solving ability and communication skills. Strong documentation, testing and automation skills. What Sets you apart: Experience with Terraform, Bicep, Ansible, or other IAC tools. Background in Splunk, Sentinel, or equivalent SIEM platforms. Familiarity with AI/ML-driven identity tooling and adaptive access policies. Understanding of Zero Trust architectures. Relevant certifications (Microsoft Identity, Azure Architect, AWS, Security+, CCSP, CISSP). Compensation Range: Pay Range - Start: $104,090.00 Pay Range - End: $193,310.00 Geographic Specific Pay Structure: Structure 110: $114,520.00 USD - $212,680.00 USD Structure 115: $119,700.00 USD - $222,300.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Compliance (NM) - Advanced, Analytical Thinking (NM) - Advanced, Security Practices (NM) - Advanced, Strategic Thinking (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Advanced, Continuous Improvement (NM) - Advanced, Cloud Deployment Models (NM) - Advanced, Business Automation (NM) - Advanced, Customer Centricity (NM) - Intermediate, Technical Problem Solving (NM) - Advanced, Identity Protocols (NM) - Advanced, Adaptive Communication (NM) - Advanced, Identity & Access Management Industry Standards (NM) - Advanced, DevSecOps (NM) - Advanced, Learning Agility & Critical Thinking (NM) - Advanced, Access Management Tools & Technologies (NM) - Advanced, Stakeholder Relationship (NM) - Intermediate FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,

Company Overview: Dreki Systems, LLC (Dreki) is a fast-growing technology development company focused on building next-generation technologies for extreme and challenging environments. Our ongoing projects span drones for Earth science, robotic arms, smart battery systems, small satellite platforms, and advanced space weather monitoring tools. We build our systems from the ground up - and software plays a critical role in our innovation. We are looking for a passionate and capable Software Developer to join our dynamic engineering team and help us develop intelligent, scalable, and mission-critical technology. Because Dreki plans to bid on government work, all applicants must be US citizens who are eligible for a security clearance. Job Description: As a Software Developer at Dreki, you will play a vital role in building core software systems and technologies that power our aerial, robotic, and space-based platforms. Your work will involve full-cycle software development - from system design and data pipelines to AI/ML model integration and embedded software deployment. The successful candidate will be driven by curiosity, eager to work across multidisciplinary domains, and excited about deploying their code in the real world - on drones, robotic arms, satellites, and scientific payloads that will make a real difference. What You'll Be Working On: Real-time drone control software integrating sensor fusion and autonomous navigation AI/ML pipelines for robotic arm self-calibration and predictive torque control Web dashboards for live satellite telemetry and environmental data Smart battery management systems with embedded AI for fault detection Space weather analysis tools using time-series ML models and scientific data feeds Custom software stacks to interface with hardware we design in-house Key Responsibilities: Design, develop, test, and deploy software for robotic platforms, drones, and embedded systems Implement AI/ML pipelines for predictive control, sensor fusion, object detection, anomaly detection, and data analytics Collaborate with electrical, mechanical, and aerospace engineers to ensure seamless system integration Develop simulation environments (e.g., Gazebo, PX4 SITL, ROS) to test control algorithms and mission logic Build web or desktop interfaces for mission control and data visualization Work with APIs and hardware communication protocols (e.g., CAN, UART, SPI, I2C, MAVLink) Optimize performance of onboard computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, STM32) Maintain codebases, documentation, and CI/CD pipelines for software deployments Required Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field United States citizenship is required, with eligibility to apply for a government security clearance Proficiency in Python and C/C++ (especially for embedded systems or high-performance applications) Strong understanding of software design patterns, version control (Git), and testing practices Experience with one or more of the following frameworks/tools: AI/ML: TensorFlow, PyTorch, Scikit-learn Robotics/Drones: ROS/ROS2, PX4, ArduPilot, MAVSDK Web/UI: Flask, FastAPI, React, Qt Knowledge of Linux-based systems and Docker environments Demonstrated ability to work independently and deliver end-to-end solutions Preferred Qualifications: 2-3 years of professional experience in software development Familiarity with edge computing and deploying AI models on embedded devices Familiarity with AI/ML architectures such as CNNs, RNNs, LSTM/BiLSTM and other neural network models relevant to robotics, drone control, and sensor data processing Experience working with sensor data (IMU, LiDAR, GPS, cameras, etc.) Contributions to open-source projects or research in AI/robotics Experience transitioning products to customers (conversion of R&D software to product integration, version control, customer feedback incorporation, training documentation, etc.) Project management skills (work breakdown structures, risk management, Gantt Chart construction) What We're Looking for in You: Curiosity and willingness to learn new tools, technologies, and domains Strong communication and collaboration skills across engineering disciplines A portfolio of past projects that demonstrates depth and ownership Passion for innovation in aerospace, robotics, or sustainability Ability to prototype quickly and iterate based on real-world constraints Openness to contributing beyond software - system design, testing, deployment Ways to Stand Out from the Crowd: Demonstrated work on physical systems (e.g., robots, drones, satellites) Publications or research projects in AI/ML, robotics, or space tech GitHub repositories showcasing clean, modular code and documentation Past experience in a startup, lab, or cross-functional technical team Enthusiasm for space, Earth systems, or sustainability missions Salary & Benefits Salary: $90k - 115k / year base Premium-Free top-of-the-line health, dental and vision insurance benefits (85% paid for spouses, domestic partners, dependents) 18 days paid vacation, 12 paid holidays, 5 days sick leave Please include both a resume and a cover letter in one PDF document when applying to this role.

1 day ago Be among the first 25 applicants The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full-stack software development experience, including 3+ years of React Native development Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience shipping and maintaining mobile applications on iOS and Android platforms Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React, Django, GraphQL, and infrastructure tools (Docker, Terraform) Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) development 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third-party integrations and data pipelines As An Atlantic Engineer, You Will Hit the ground running to write, test, debug, document, and deploy code across our full stack, with a primary focus on mobile development in React Native. Partner with the Product and Design teams to collaboratively translate ambiguous requirements into well-scoped technical solutions. Participate in and contribute to code reviews, stand-ups, sprint planning, retrospectives, and technical documentation. Participate in on-call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear tradeoff analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. The role will at times include night, early-morning, and weekend work. As An Atlantic Engineer, You Are A talented programmer: You are proficient in modern full stack web development. You can design a RESTful or GraphQL microservice with proper error handling, wire it up to a data model, run the app locally in a Docker container, write a frontend service to consume the data, and deploy it to production. You write clean, maintainable code. Knowledgeable: You work effectively within established architectures and follow industry best practices. You stay current with security, accessibility, and performance standards. Flexible: Although you typically work with a suite of proven tools, you are curious and open to new solutions and industry trends. You can evaluate whether a new technology genuinely solves an existing problem. A strong communicator: You communicate promptly, clearly, proactively, and empathetically with teammates and stakeholders. You can explain technical concepts to non-technical colleagues, provide constructive code review feedback, and surface risks early. A pragmatic technologist: You gravitate towards the simplest viable solution that balances current and near-term needs. You value quality, but a desire for perfection doesn't draw your work off of the critical path. A critical thinker: You think creatively and innovatively when approaching your work. Given a product requirement, you can break it into technical tasks, identify dependencies and risks, and execute with minimal oversight. Adaptable: You are excited to work on a variety of projects of different sizes, using different technologies. You are agile, a quick learner, and highly motivated to perform at the highest level. A team player: You take initiative in offering help to team members, including pair programming and knowledge sharing. You encourage and support the development of your teammates. You value team camaraderie and thrive in an environment fueled by discussion and debate. An interest in the pursuit of truth: You recognize the fundamental importance of journalism and have a desire to see it thrive. Salary Salary minimum: $115,000; Salary maximum: $150,000 This is a Guild Position About The Atlantic The Atlantic has, for more than 160 years, advanced ideas that matter and sparked global conversation on the most important issues of our time. We aim to bring clarity and original thinking to questions of consequence on topics ranging from politics, the economy, and global affairs to technology, science, and culture. As the third-longest-running magazine in America, we find ourselves at a remarkable moment: one of both continuation and transformation, of upholding our legacy while continuously reinventing ourselves for the future. The Atlantic Monthly Group LLC ("The Atlantic") is an Equal Opportunity Employer. The Atlantic is committed to diversity and encourages members of traditionally underrepresented communities to apply, including women, LGBTQ people, people of color, and people with disabilities. We do not discriminate against our applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law. Job offers to work at The Atlantic are contingent upon the candidate's successful completion of reference checks and compliance with The Atlantic's COVID-19 vaccination policy. The Atlantic requires all employees to be vaccinated against COVID-19, including subsequent boosters, and submit proof of vaccination status. Employees who cannot receive the vaccine because of a disability/medical contraindication or sincerely-held religious belief may request an accommodation (e.g., an exemption) to this requirement. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Book and Periodical Publishing Referrals increase your chances of interviewing at The Atlantic by 2x Get notified about new Senior Engineer jobs in Washington, DC.

Staff Software Engineer, AI Agentic Experience (Auth0) Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. The Auth0 Team Auth0 is an easy to implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. The Staff Software Engineer At Okta, we're building the next generation of authentication for the GenAI era. We're looking for a Staff Software Engineer to join the AI DevEx team at Auth0, extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. What you will be doing Design and build developer tooling that helps developers secure and manage infrastructure like MCP servers. Build demo applications that showcase secure, identity powered AI use cases in real world environments. Contribute to open source projects, both within Auth0 and across the broader AI + identity ecosystem. Write and maintain high quality documentation including API references, quickstarts, and best practices for both developers and AI native tooling (e.g., llm.txt). Drive integration with emerging AI frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers. Collaborate with design, product, and security teams to align on developer needs, roadmap direction, and compliance requirements. Mentor and support other engineers, setting strong examples in code quality, testing practices, and architectural thinking. Influence engineering standards by leading design discussions and contributing to team wide architectural decisions. Ensure resilience and security of systems involved in agent to agent or model to service communication. You might be a good fit if Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers. Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front end and back end contexts. Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines. Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT. Demonstrated experience leading architecture and design efforts for scalable, production grade systems. Comfort contributing to and maintaining open source projects and engaging with developer communities. A passion for documentation as part of the developer experience-not just writing code, but making it understandable and usable. Ability to thrive in highly collaborative environments with cross functional stakeholders. Technologies you may work with Languages: JavaScript, TypeScript, Python Frameworks: React, Next.js, FastAPI AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits Auth0 Stack: Token Vault, Async Authorization, Fine Grained Authorization (FGA) Compensation Annual base salary range for candidates located in the San Francisco Bay Area: $188,000-$282,000 USD. Okta also offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. Benefits Amazing benefits Making social impact Developing talent and fostering connection & community at Okta Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at