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Job Description We’re hiring a Senior Digital Construction Project Engineer to serve as the leading role in the implementation of digital construction systems through the entire project lifecycle. The role is critical to fostering a culture of innovation and collaboration on projects through mentorship, and communication with the internal team and external stakeholders. This position requires experience and understanding of most all technologies and processes within current digital construction systems. The successful outcome for a Sr. Digital Construction Project Engineer is the holistic development and integration of digital construction systems on assigned projects and the resultant added-value to a project’s timeline, estimate and growth of project team members in the process WHAT YOU’LL DO As a Senior Digital Construction Project Engineer, you’ll be responsible for: Project Work: • Accountable for punctual attendance in meetings, meaningful contributions, and proactive communication of strategic directives or issue resolutions to both DC management and project teams. Quality of communication must meet DC management standards, • Establish and manage DC scope and associated schedule and cost expectations, staffing projections, billing rates, risk mitigation, QC and continuous support to ensure comprehensive success of scope per established expectations, • Manage the performance and development of Digital Construction (DC) team members on your assigned projects through regular check-ins, learning and development, task delegation and quality control, • Take leading role in review and apply project documentation, while coordinating, modeling, and producing deliverables in line with DC best practices and management expectations and proactive partnership and communication with project team, • Offer on-site coordination using advanced tools and employ a variety of BIM applications, ensuring alignment with DC systems and quality standardManagement:, • Participate in bi-weekly business development meetings for assigned regions, manage marketing assets to promote objectives, and proactively address inquiries with solution-driven approaches, consulting with the DC Manager prior to submission, • Ensure DC team culture is maintained as a place for learning, innovation, diversity of ideas and merit-based advancement, • Provide leading technical role in development, testing and implementation of various R&D objective, • Maintain accurate projections, time coding, and other administrative DC systems for yourself and team membersLeadership: To be successful as a Dowbuilt Senior Digital Construction Project Engineer, you’ll need: • 5+ years’ experience in residential design and/or construction, • 2+ years of experience delegating tasks to a team, • 5+ years of Revit use in a professional setting, • 2+ years of Rhino experience, • 1+ year experience with Grasshopper, Dynamo or Python scripting languages and processes, • Adobe Creative Suite, • Ability to read and interpret architectural drawings and specifications., • Excellent team-building skills and detailed follow-through., • Adaptability to changing circumstances., • Motivated, dependable, and trustworthy, • Excellent leadership and decision-making skills, • Ability to multi-task and work efficiently under pressure, • Strong analytical and problem-solving skills, • Strong organizational skills to manage large amounts of information., • Ability to delegate tasks and efficiently manage project teams., • Ability to manage stress and maintain composure in challenging situations, • Ability to be an active listener, ask for help, and suggest solutions., • Strive to continually learn and develop new skills and capabilities., • Demonstrate mentorship, guidance and leadership with multiple reports and positive feedback., • Demonstrate dependability by arriving on time every day ready to work through the end of the day., • Demonstrate discretion and treat all proprietary company information as strictly confidential outside (and in some cases inside) the company, • Review and develop this document annually, or as needed., • The ability to pass a pre-employment drug and alcohol screen, • US Work AuthorizationPreferred Education, Experience and Competencies:, • Bachelor’s degree in Architecture, • Faro 3D Scanning, Faro As-built Software, and point-cloud handling knowledge We are a fun, easygoing bunch of professionals who take a lot of pride in the work we do. We acknowledge the contributions and talents of our team members by providing benefits that support you at work and in life: • Competitive pay commensurate with skills and experience, • 100% paid Medical, Dental, Vision, short-term disability and $50k in basic life insurance for full-time employees – 1st of the month following DOH, • 35% Medical and 30% Dental + Vision coverage for eligible dependents, • 401(k) retirement savings plan with 3% employer safe harbor contribution, • 8 paid holidays each year, no waiting period, • Paid Time-Off (PTO) – 2.31 hours per week to start (120 hours annually) with an increase to this accrual each January with years of service up to max 192 hours/24 days annually, • Mentorship and career development opportunities, • Annual discretionary bonusThe base pay range for this position is $115,000 - $140,000 per year. Actual compensation within this range will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, geographic location, and internal equity. New hires typically start below the midpoint of the range, with the opportunity for growth and advancement over time. WHO WE ARE Dowbuilt is a construction company founded in 1980, and today our talented teams can be found from coast to coast. We excel at cutting-edge, innovative, never-been-done-before residential projects and home service—all of which require precision and impeccable attention to detail. We work with top architects, and our builds are regularly featured in publications such as Architectural Digest, Architectural Record, and Dwell. The Dowbuilt culture is one of care—care for our employees, clients, and the talented craftspeople we partner with—resulting in care for the incredible designs we bring to life. HOW YOU’LL MAKE AN IMPACT We’re committed to investing in our team members’ ongoing professional development, and as a leader with Dowbuilt, you play a big part in ensuring that your team has equal opportunity to play to their strengths, fill gaps in knowledge and grow professionally. Effective career development requires two-way, open communication between employee and manager. This means expectation setting happens on both sides, along with support, mentorship, and goal setting at regular intervals. Find out how you can take your own career to the next level and inspire the next generation of talent with Dowbuilt. Dowbuilt is an equal opportunity employer that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Powered by JazzHR igQ9atGMCs

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our engineering team is at the forefront of revolutionizing healthcare technology by building and scaling the systems powering our suite of healthcare products. We are looking for a talented Senior Backend Engineer to help us craft user-friendly, responsive, and secure interfaces that operate reliably at scale and enhance the healthcare experience for both providers and patients. If you are a builder and love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Design and influence decisions that affect our backend architecture for scalable, AI-powered healthcare solutions * Be a part of a tremendously fast-paced team that celebrates large ambition and making decisions quickly * Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask, and other frameworks * Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact * Establish and enforce best practices for code quality, testing, and deployment * Mentor junior engineers, guiding backend engineering, design patterns, and coding standards * Collaborate with product managers, designers, and clinical experts to translate requirements into intuitive and efficient UI solutions * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 4+ years of professional experience in software development industry experience * Strong Backend Programming Skills (We use Python and Go) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Track record of strong execution and ability to drive work from ideation to successful implementation * Strong debugging and problem-solving skills and a history of demonstrated resourcefulness * Strong communication skills and the ability to interface with both technical and non-technical stakeholders * Experience in environments where you have to ship quickly. We move fast and deploy daily. * Excitement to work in a high-impact field with a builder attitude! * Attention to detail around user experience and customer needs * Growth mindset and a motivation to grow Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $140K - $230K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is seeking a talented Full-Stack Developer with strong skills in Angular (frontend) and Python (backend) to contribute to the design and development of a cloud-native application hosted on AWS. The ideal candidate will be a hands-on developer who can build high-quality, scalable, and secure solutions while collaborating with senior technical leads, QA engineers, and solution architects. Responsibilities: • Design, develop, and maintain frontend components using Angular and backend services using Python FastAPI and SQLAlchemy., • Implement and consume RESTful APIs and contribute to microservices development., • Collaborate with technical leads and architects to ensure solutions align with overall system architecture and best practices., • Write clean, maintainable, and testable code with appropriate documentation., • Participate in code reviews to ensure code quality and adherence to standards., • Support integration with AWS services (S3, Lambda, API Gateway, DynamoDB/RDS, etc.)., • Work with QA engineers to develop and maintain unit tests, integration tests, and automated test suites., • Troubleshoot, debug, and resolve application issues in a timely manner., • Contribute to CI/CD pipelines and deployment automation., • 3–5 years of professional software development experience., • Hands-on experience with Angular (latest versions)., • Strong backend development experience with Python FastAPI and SQLAlchemy., • Solid understanding of REST API design and integration., • Familiarity with AWS services for application development and deployment., • Experience with version control systems (Git, GitHub, GitLab)., • Exposure to CI/CD pipelines and automated deployment tools., • Strong problem-solving, debugging, and communication skills., • Experience in highly regulated industries (e.g., healthcare, financial services, government)., • Knowledge of compliance frameworks such as HIPAA, PCI, NIST, or FedRAMP., • AWS Certification (Developer, Solutions Architect Associate/Professional)., • Experience with cloud-native applications and microservices design., • Exposure to test automation frameworks (PyTest, Cypress, Selenium, etc.)., • Knowledge of database technologies (PostgreSQL, MySQL, DynamoDB). At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you'll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles. You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across our engineering stack - this includes developing and improving frameworks across our backend services, in addition to making direct contributions to your team's product area. In addition to writing code, you'll help define the features that we build, through collaboration internally with product managers, data scientists, and other engineering leaders. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to grow your role towards what you're most passionate about. Your responsibilities will include: • Backend development in a variety of languages/frameworks including:, • Python/Django, • Kotlin / JVM, • Go, • SQL, • GraphQL, • Redis, • Postgres, • Kafka, • AWS, • Mentoring a team of talented engineers designing and building the next generation of Nextdoor, • Collaborating with product management, data science, and design to ensure we build the right things to maximize impact on neighbors, • Working with engineers in Toronto, New York, San Francisco and beyond, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company cultureWhat You'll Bring To The Team, • 6+ years of experience as a Software Engineer and a Bachelor's degree in Computer Science, or equivalent work experience, • High-initiative leader who can drive technical vision to enable the rapid iteration of Nextdoor's product, • Strong coding and debugging abilities across multiple systems and domains, • Experience designing, building and deploying flexible backend systems at scale The starting salary for this role is expected to range from $165,000 to $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid

Job DescriptionPython - Senior Developers - AI Training - USAAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Senior Python Developers to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in Software Engineering, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data. Researchers looking for your skills tend to pay up to $50/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Educational Background: a BSc or higher in Computer Science, Software Engineering, or closely related technical field, • Professional Experience: real world experience as a Senior Software Engineer/ Developer specializing in Python, • Coding Proficiency: ability to solve LeetCode Medium to Hard-level problems in Python independently., • Deep Domain Knowledge: expert understanding of the GIL (Global Interpreter Lock), decorators, generators, memory management, and asynchronous patterns (asyncio, async/await)., • Code Quality: a high standard for clean code, including modularity, readability, and adherence to modern Pythonic standards (PEP 8, PEP 20)., • Attention to Detail: ability to spot subtle logical flaws, memory leaks, or security vulnerabilities in model-generated code.What you'll be doing in the role, • Evaluate Code Accuracy: review AI-generated Python code for functional correctness and adherence to best practices., • Validate Logic & Reasoning: audit the step-by-step explanations provided by AI for complex algorithmic solutions to ensure they are logically sound., • Conduct Execution Testing: execute model-generated scripts in appropriate environments to verify performance and output., • Annotate Model Performance: identify areas where a model provides inefficient solutions, deprecated syntax, or hallucinated library methods., • Refine Technical Logic: provide structured feedback on how models reason through backend architecture, data pipelines, or API design discussions.Key Technologies, • Core Language: expert mastery of Python 3.x, including type hints and modern language features., • Frameworks: extensive experience with Django, FastAPI, or Flask., • Testing & Tools: proficiency with pytest, unittest, coverage.py, and tox. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our engineering team is at the forefront of revolutionizing healthcare technology by building and scaling the systems powering our suite of healthcare products. We are looking for a talented Staff Backend Engineer to help us craft user-friendly, responsive, and secure interfaces that operate reliably at scale and enhance the healthcare experience for both providers and patients. If you are a builder and love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Influence and craft the roadmap for teams, ensuring technical excellence and an engineering organization that scale reliably with the business * Be a part of a tremendously fast-paced team that celebrates large ambition and making decisions quickly * Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask, and other frameworks * Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact * Design and refine systems to enforce best practices for code quality, testing, and deployment * Collaborate with product managers, designers, and clinical experts to translate requirements into intuitive and efficient UI solutions * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 8+ years of professional experience in software development industry experience * Strong Backend Programming Skills (We use Python and Go) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Strong debugging and problem-solving skills and a history of demonstrated resourcefulness * Track record of making successful architectural decisions to deliver multi-month, high-impact projects * Strong communication skills and the ability to interface with both technical and non-technical stakeholders * Experience in environments where you have to ship quickly. We move fast and deploy daily. * Excitement to work in a high-impact field with a builder attitude! * Attention to detail around user experience and customer needs * Growth mindset and a motivation to grow Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $200K - $250K

Job Description Job Title: Technical Lead Job Type:Contractor Location: Remote Job Summary: We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives. Key Responsibilities: • Lead technical direction and architectural decisions for AI agent development using modern programming languages., • Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions., • Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++., • Mentor and support team members, fostering a culture of technical excellence and collaboration., • Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy., • Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders., • 3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++., • Proven leadership experience guiding technical teams and projects to successful delivery., • Strong expertise in training AI models and implementing machine learning solutions., • Excellent written and verbal communication skills, with a passion for clarity and collaboration., • Ability to take ownership of complex tasks and drive projects from ideation to completion., • Self-motivated, proactive, and adaptable in a fast-paced remote environment., • Exposure to multiple programming languages and willingness to learn new technologies., • Prior involvement in AI agent or similar advanced technology projects., • Experience working on customer-facing or client-driven teams.

Job Description Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. At Mark43, our mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role focused equally on technical leadership and hands-on execution. You will play a critical role in shaping the future of our data infrastructure, while mentoring teammates and partnering cross-functionally to drive analytics innovation across the company. What You'll Do: If you were part of our team, here are some things you would have done last week: • Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions, • Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL, • Collaborated with Product Managers to launch new customer-facing analytics capabilities, • Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services, • Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations, • Participated in our on-call rotation to ensure platform reliability and performance, • Contributed to the hiring, onboarding, and professional development of the Data Engineering team, • Strong proficiency in SQL and Python, • Hands-on experience with AWS infrastructure and data services, • Familiarity with MySQL, SQL Server, and OLAP databases, • Experience using Terraform or other infrastructure-as-code tools, • Expertise in modern data tooling, particularly dbt and Apache Airflow, • Operating reliable and performant pipelines in production environments We believe in equal pay for equal work, and transparency in compensation is a core value. Total compensation for this role is market competitive, including a target base annual salary range of $170,000 - $210,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k. Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary. The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Job Description About the Role Our client is a high-growth, venture-backed startup (recently closed a $10M+ Series A) building the industry-leading agentic AI platform for real estate operations. Their technology autonomously handles over 75% of client support interactions across email, SMS, WhatsApp, and voice. We are seeking a heavy-hitting Senior to Principal level Software Engineer (7–12 years of experience) to join a lean "rockstar" engineering team. You will help scale the engineering organization from 6 to 12+ members while maintaining a rapid shipping velocity. This is a backend-leaning, full-stack role for an elite Individual Contributor who wants to build at the frontier of AI. What You’ll Do * Architect & Ship: Lead the development of major features for omnichannel AI agents, making critical decisions on infrastructure and system design. * Build with AI: Integrate AI coding tools (Cursor, Claude Code) into your daily workflow to accelerate development. * Collaborate: Work directly with the CTO and founders to shape technical strategy and product direction in fast-paced weekly cycles. * Scale Systems: Design and deploy scalable, high-impact systems on AWS that support 6–7x year-over-year revenue growth. * Operate Full-Stack: Move fluidly across the stack as needed—shifting priorities weekly based on business impact rather than staying in a technical silo. Who You Are * The Veteran IC: 7–12 years of production experience at top-tier Big Tech firms or recognizable high-growth startups. You are a builder, not a manager. * Python Expert: Deep production experience with Python as a primary backend language. Familiarity with TypeScript and React is a strong plus. * AI-Native Developer: You are highly proficient with modern AI coding tools and believe in the "10x engineer" potential of agentic workflows. * Product-Minded: You understand the business context of your code and care about the "why" behind the product. * Education & Background: Strong academic background (Top CS programs) or previous experience as a founder/CTO is highly preferred. Why Join? * Work with a team of ex-Meta, Google, and Microsoft engineers. * Massive equity upside in a company that has proven product-market fit and explosive revenue growth. * High autonomy in a "no-ego" environment where the best ideas win.

Job Description Role A highly technical, hands-on Full-Stack System Integration Developer to connect and automate our medical practice’s digital infrastructure, write custom code, manage complex API connections, and optimize our workflows across clinical, administrative, and marketing systems. Responsibilities System Integration: build and maintain secure API connections between our core platforms, including Google Ads and Meta, EHR (Medent), Acuity (Squarespace), VOIP (RingCentral), the landing page (Unbounce) and the website (WordPress). Workflow Automation: design and manage complex, multi-step automation workflows using Zapier (including Webhooks and custom code steps) to minimize manual administrative tasks. Marketing Attribution: maintain and improve Offline Conversion Tracking (OCT) pipelines, connecting patient data securely to ad platforms (Google Ads, Meta and Bing) via API to track marketing ROI from physical office visits. Troubleshooting: identification and repair of API failures, syncing errors, and webhook drops. Compliance: understanding anf adherense to HIPAA regulations and data security standards. Requirements Coding proficiency in JavaScript/Node.js, Python, or PHP for writing custom scripts and handling API endpoints. Zapier expertise: ability to build beyond basic templates, utilizing Webhooks, data formatting, and custom code within Zaps. Digital marketing tech: experience setting up Offline Conversion Tracking (OCT) and working with advertising platform APIs. API experience: understanding of RESTful APIs, webhooks, JSON, and secure authentication (OAuth). Optional Direct experience integrating EHR. Expertise in digital experience analytics. Application Submit your resume and a brief description of the most complex automation or API integration you have successfully built and deployed. Company DescriptionVein treatment clinic with multiple locations.Vein treatment clinic with multiple locations.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are looking for a Staff Software Engineer to join our team and help us develop the core systems powering our clinical research. You will work closely with a talented product and data science team, stay up-to-date with the latest technologies, and contribute to a fast-paced, innovative environment. The ideal candidate for this role should be able to deliver across the tech stack and is eager to learn and apply new techniques and technologies. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Design and build extensible systems that can grow with the business needs, • Collaborate across disciplines to understand our domain and iterate on new ideas, • Lead technical strategy and decision-making, • Protect our users' privacy and security through secure coding practicesWhat you will bring to the team:, • 7+ years hands-on work delivering full-stack software, • Excellent communication skills and ability to clearly communicate design rationale and concepts, • Familiarity with Python, React, NodeJS, Docker, and AWS, • Excellent understanding of SQL and data modeling, • Familiarity building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working in a team using agile methodologies and fluency with the agile toolkit, • Experience mentoring team members and acting as a technical multiplier, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description Launch provides inspiring afterschool programs by merging innovative curriculum with an engaging learning experience to foster appreciation and generate excitement for STEM topics. Designed for kids ranging from toddlers to tweens, Launch’s unique programs spark each child’s intrinsic desire to learn. The company is hiring part-time instructors to work with students individually, in small groups, and in afterschool classes. Launch Instructors work in the learning center in Manhattan, in students' homes, virtually, or in one of our many partner schools leading project based enrichment classes focused on STEM and/or tutoring students in math. Examples of STEM classes include (but are not limited to): Coding with Scratch, Freaky Forces + Elusive Energies, Rockin' Robotics, and our "I Wanna Be..." series featuring Detective, Animator, and Marine Biologist! Launch offers private or group math sessions focused on remediation, homework help, and test prep. As a Launch Instructor you are expected to: • Provide top quality instruction utilizing proven Launch methods, curriculum, and provided materials, • Enthusiastically engage students during instructional sessions, • Help students gain confidence in their ability to learn and succeed, • Constantly assess and consider ways to improve classroom experience, • Maintain regular communications with the Launch Program Coordinators Requirements • For STEM classes, subject matter expertise in related sciences, tech, or math; A passion and skill for building hands-on projects with kids; Ability to code using Scratch, Python, and/or App Lab a big plus, • For math tutoring, must have strong proficiency in primary school math through Algebra, with Precalculus a plus., • Strong desire to teach children, • Personable, friendly, reliable and communicative, • Previous experience working with students as a tutor or in a similar capacity, • A relatively flexible schedule and the ability to commit to servicing students for an extended duration, preferably a full academic year, • $25 per hour, with most daily assignments ranging from approximately 1.75 to 2.5 hours, • For STEM classes, all curriculum and materials are provided (you do not need to create lesson plans), • Part-time position

Job DescriptionCompany Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: • UK & Ireland's premier AWS, Microsoft & Oracle partner, • 3300+ strong, €350/£300m revenue business, • 10+ years as a Great Place to Work in Ireland & UK, • Best Workplace for Women in the UK & Ireland by GPTW We are seeking a Senior AI Product & Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents. You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems. What You Will Do: • Translate business and research objectives into scalable AI product architectures., • Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots., • Design and implement enterprise-grade AI systems across model development, evaluation, and deployment., • Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML., • Establish evaluation frameworks to measure model quality, safety, robustness, and business impact., • Architect production-ready AI applications with strong observability, monitoring, and iteration loops., • Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions., • Mentor internal engineers on modern AI development workflows and best practices.Qualifications Must Have: • 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development., • Demonstrated experience building and shipping enterprise-grade AI products., • Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks)., • Hands-on experience using AI coding agents and AI-assisted development tools in production workflows., • Strong product instincts: ability to balance technical feasibility, business value, and user experience., • Experience deploying AI systems in regulated or security-sensitive environments., • Familiarity with distributed systems and cloud-native architectures., • Background working at leading AI labs, big tech, or high-performance startups., • Experience designing internal AI platforms used by multiple teams. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Video links:

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Developer Type: Contract Compensation: $80–$110/hour Location: Remote Role Responsibilities • Collaborate with researchers and product partners on concept creation and backend integration., • Develop reusable, well-tested software components for interfacing with back-end platforms., • Implement custom user interfaces using the latest programming techniques and technologies., • Present designs, prototypes, and concepts to cross-functional partners and stakeholders. Must-Have • Experience building maintainable and testable code bases, including API design and unit testing techniques., • Exposure to architectural patterns of large-scale software applications., • Experience with scripting languages such as Python, JavaScript, or Hack., • Experience building Android applications in Java or Kotlin using Android SDK., • Experience building complex applications for iPhone or iPad using Objective-C/C++/Swift with the iOS SDK and other frameworks., • Upload resume, • AI interview based on your resume

Job Description Our client RibbitZ is looking for Senior Software Engineer-LLM Evaluation to work remotely. As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Several years of software engineering experience (+5 years), including, 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Software Engineering profiles only, • Candidates must be based in the US, • 5+ years of relevant experience, • Google (Alphabet), • Apple, • Amazon, • Meta (Facebook), • Netflix, • Microsoft, • Tesla, • NVIDIA, • Adobe, • Salesforce, • Github, • Atlassian, • hashiCorp, • Databricks, • Snowflake, • Cloudflare, DigitalOcean, MongoDB, • Elastic, Confluent, Airbnb, Dropbox, • Stripe, Palantir, Uber, Lyft, • Square (Block), Twilio, Snap Inc., • Pinterest, Figma, Oracle, Cisco, • Paypal, Doordash, Rivian, Reddit, Coinbase, Splunk, • Spotify, Goldman Sachs, Morgan Stanley, • JP Morgan Chase, Capital One, • Plaid, Shopify, Intuit, Workday, ServiceNow, • Hugging Face, VMware, Brex, Wise, • Epic Games, Unity Technologies, • Activision Blizzard, Riot Games, Valve, • Huawei, Bloomberg, ByteDance, • Alibaba, Baidu, Notion, Klarna, • Instacart, Zillow.

Job Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Full Stack Developer to design, develop, and deliver a cloud-native application for a 12-week AI-powered modernization engagement in the construction industry. You will serve as a hands-on full stack developer building an intelligent subcontractor pre-qualification platform leveraging AWS services including Amazon SES, QuickSight, Lambda, and API Gateway, with a modern frontend and serverless backend. This is an exciting opportunity to work on cutting-edge generative AI solutions that transform manual document review workflows into automated, intelligent processes. Responsibilities: • Design and develop the application architecture, UI/UX, and technical requirements during the Discovery & Design phase., • Configure and integrate AWS SES for automated email delivery and Amazon QuickSight for executive-facing dashboards., • Build and deploy a document upload portal enabling subcontractors to submit insurance certificates, bonding letters, and financial statements., • Develop RESTful and serverless APIs using AWS Lambda and Amazon API Gateway to support frontend/backend integration., • Create real-time status and risk profiling dashboards in Amazon QuickSight integrated with CMIC ERP data., • Integrate AI-powered document validation and exception management workflows driven by Amazon Bedrock., • Build and manage automated subcontractor outreach features including personalized email generation and response tracking via Amazon SES., • Develop and host frontend applications using AWS Amplify, Amazon S3, and Amazon CloudFront., • Participate in CI/CD pipeline setup, automated testing, and deployment to production environments., • Collaborate with cross-functional team members including AI/ML, DevOps, and Data Engineering resources., • Conduct integration testing, support user acceptance testing (UAT), and develop user training materials., • Contribute to knowledge transfer documentation and post-deployment operations guides. Qualifications: • 5+ years of full stack software development experience, with at least 2+ years working in AWS cloud environments., • Proficiency in modern frontend frameworks (React, Angular, or Vue) and backend development using Python, Node.js, or TypeScript., • Hands-on experience with AWS serverless architecture including Lambda, API Gateway, S3, and Amplify., • Experience building and configuring Amazon QuickSight dashboards and data visualizations., • Familiarity with Amazon SES for transactional and automated email workflows., • Strong understanding of RESTful API design, data modeling, and cloud-native integration patterns., • Experience with CI/CD pipelines and DevOps practices (AWS CodePipeline, CodeBuild, or equivalent)., • Solid skills in frontend/backend integration, application testing, and deployment automation., • Excellent problem-solving, communication, and collaboration abilities within Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock, Amazon Textract, or other AWS AI/ML services., • Familiarity with ERP systems or API integrations (CMIC or similar construction/enterprise platforms)., • AWS Certification (Developer Associate or Solutions Architect)., • Experience with CloudFront CDN configuration and S3 static site hosting., • Background in construction, insurance, or financial services industries. "Our Culture": At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE:We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams. A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: • Cloud: AWS, • Compute: ECS Fargate, Lambda, Event-Driven Services, • Infrastructure as Code: Terraform, • Languages: Python, TypeScript, Bash, • Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch, • Streaming & Queues: Kinesis, SQS, BullMQ, • CI/CD: GitHub Actions (Enterprise), • Observability: Datadog, AWS CloudWatch, • Architecture: Containerized APIs, Serverless Processing, Distributed Systems, • Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure., • Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions., • Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently., • Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling., • Improving system reliability, scalability, and performance across distributed services and real-time workloads., • Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops., • Operating production systems with strong ownership of uptime, incident response, and recovery automation., • Partnering with engineering teams to improve service architecture, resiliency, and operational maturity., • Improving cost efficiency and infrastructure utilization across AWS and other infrastructure., • Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices., • Participating in on-call rotations. ABOUT YOU: • 4+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles., • Deep experience operating production workloads on AWS., • Strong hands-on experience with Terraform or comparable IaC tooling., • Experience running containerized and serverless systems at scale., • Strong understanding of distributed systems reliability and failure modes., • Experience building CI/CD pipelines and developer automation tooling., • Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry., • Familiarity with incident response, on-call operations, and production debugging., • Working knowledge of networking, IAM, and cloud security best practices., • Comfortable collaborating across engineering teams and influencing technical direction.NICE TO HAVE:, • Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling., • Experience building or managing self-serve developer environments at scale., • Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them., • Experience supporting AI/ML or real-time workloads., • Cost optimization and cloud efficiency initiatives., • Exposure to compliance frameworks (SOC2, HIPAA, PCI).BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Platform and Product Teams. You will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our product and platform systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards. As a Staff Software Engineer at Maven, you will: • Lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing needs of Maven's platform and backend teams., • Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems., • Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles., • Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards., • Mentor and guide and mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • Minimum of 8 years of experience in backend development and platform architecture, with a proven track record of building highly scalable, performant, and reliable systems., • Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration., • Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures., • Proficiency in multiple programming languages (Java, Python, Go, etc.), • Experience building distributed systems with microservices and relational and nosql databases., • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles., • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. The salary range for this role is $225,000 - $260,000 per year. You may also be entitled to receive a bonus, equity, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Developer Type: Contract Compensation: $80–$110/hour Location: Remote Role Responsibilities • Collaborate with researchers and product partners on concept creation and backend integration., • Develop reusable, well-tested software components for interfacing with back-end platforms., • Implement custom user interfaces using the latest programming techniques and technologies., • Present designs, prototypes, and concepts to cross-functional partners and stakeholders. Must-Have • Experience building maintainable and testable code bases, including API design and unit testing techniques., • Exposure to architectural patterns of large-scale software applications., • Experience with scripting languages such as Python, JavaScript, or Hack., • Experience building Android applications in Java or Kotlin using Android SDK., • Experience building complex applications for iPhone or iPad using Objective-C/C++/Swift with the iOS SDK and other frameworks., • Upload resume, • AI interview based on your resume

Job Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. Responsibilities: • Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase., • Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform., • Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data., • Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents., • Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting., • Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets., • Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines., • Develop and expose data through Amazon API Gateway to support application and dashboard consumption., • Ensure data quality, validation, and integrity across all integration points and pipeline outputs., • Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features., • Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows., • Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. Qualifications: • 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments., • Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora., • Hands-on experience with AWS Glue for ETL development and data pipeline orchestration., • Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities., • Working knowledge of Amazon Textract for automated document data extraction., • Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies., • Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration., • Solid understanding of data modeling, data quality validation, and integration testing practices., • Familiarity with Amazon API Gateway for exposing data services to downstream consumers., • Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock or AI/ML-integrated data pipelines., • Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems., • Experience with GraphQL APIs or AWS AppSync., • Knowledge of TypeScript or Python for pipeline scripting and Lambda function development., • AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect)., • Background in construction, insurance, or financial services industries. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: "A Customer Obsessed, Delivery Focused, Culture" • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, 1099 Duration: Short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job Description Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearly 1.5 Million active savers, with over $30 billion in assets saved across all 50 United States. Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities. Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com Vestwell's Summer Tech Internship Program Now in its fifth year, our Summer Internship Program is a 10-week experience (June 8 to August 10, 2026) offering hands-on exposure within our AI Engineering and CyberSecurity teams. Interns will help design and build AI-powered solutions that improve how we serve customers and operate at scale. Interns work on real projects alongside cross-functional teams, contributing through research, data analysis, and execution on key initiatives. Each intern is supported by a manager and mentor, with regular feedback and guidance. By the end of the program, interns are expected to contribute to a defined deliverable, operate independently within team workflows, and build a strong understanding of Vestwell's business. Who Are We Looking For? We're looking for curious, motivated individuals who want to learn and contribute in a fast-paced, collaborative environment. The ideal candidate is proactive, detail-oriented, and comfortable working across teams. You have a strong sense of ownership, take initiative, and are interested in fintech and improving how people save and plan for their future. We're especially excited about candidates interested in emerging technologies, including AI, who can identify opportunities to improve workflows and build practical solutions. Through the program, you'll gain exposure across the business and contribute to work that drives real impact. What Will You Be Doing? Day-to-day responsibilities may include: • Contribute to AI-powered feature development across the engineering stack, • Build and evaluate LLM-based workflows and integrations, • Write, test, and review code in Python, TypeScript, or a similar backend language, • Participate in daily stand-ups and collaborate within an agile team environment, • Document technical work and contribute to internal knowledge sharing Requirements The Necessities • Rising or current seniors, or recent graduates (including boot camps or similar programs), • Based in or able to work in a hybrid capacity in New York City, Austin, or King of Prussia, • Available for the full 10-week program (June 8 to August 10, 2026), • Proficiency in at least one backend language (Python, TypeScript, or similar), • Foundational understanding of software development principles and SDLC, • Familiarity with version control (Git), • Strong analytical thinking and problem-solving skills, • Clear written and verbal communication, • Experience with CRM platforms (e.g. Salesforce, HubSpot), • Familiarity with project management tools (e.g. Asana, Jira, Notion, Monday.com), • Exposure to AI tools or workflow automation platforms (e.g. Claude Cowork), • Prior internship, work, or relevant project experience, • Knowledge of financial services, fintech, or retirement industry concepts, • Hands-on experience with LLMs or AI frameworks (e.g. LangChain, OpenAI APIs), • Prior internship or project experience in software engineering, • Familiarity with cloud platforms (AWS, GCP, or Azure) Program Benefits • Competitive Pay: $40/hour up to 25 hours per week, • Curated Learning & Development: Build key skills through tailored programming, including time management, presentations, and fintech fundamentals, • Vestwell Swag: Receive a personalized swag package to feel part of the team from day one, • Weekly Meals & Snacks: Enjoy in-office breakfast and lunch options that keep the team connected, • Networking & Community: Participate in intern events and Employee Resource Group programming, • Performance Bonus: Earn a bonus based on your impact and overall program performance, • Portfolio-Ready Experience: Complete a final project that showcases your work and contributions Applicants must be legally authorized to work in the United States for the full duration of the internship without employer sponsorship now or in the future. This internship is in person at our offices in New York, NY; Austin, TX; or King of Prussia, PA. We do not sponsor visas for this position, and candidates who require sponsorship now or in the future will not be eligible for consideration. Candidates on F-1 or J-1 visas must have valid work authorization that allows for full-time internship participation, such as CPT, OPT, or J-1 Intern authorization through a designated sponsor (e.g., Cultural Vistas, InterExchange, Intrax, or similar programs). Employment is contingent upon verification of work authorization and completion of any applicable background checks in accordance with company policies and applicable law. Candidates requiring visa-based work authorization must provide complete and verifiable documentation confirming eligibility to work in the United States for the full duration of the program (June 8 to August 10, 2026) prior to receiving an offer or beginning employment. OUR BENEFITS We're an innovative, high-growth company, with lots of exciting milestones ahead. We value health and wellness at Vestwell and in addition to a dedicated Employee Wellbeing Committee, we offer competitive health coverage and generous vacation offering. We have adopted a hybrid office policy, but all employees are welcome at our bright, comfortable office with many workspace options in our Midtown Manhattan, Austin, King of Prussia, and Phoenix offices, so everyone has a setting that is the most productive for them. Oh, and naturally we have a great 401(k) plan! OUR PROCESS It starts the same for every candidate: getting to know the team members through 1-2 conversations about Vestwell, your experience, and your interests. Next steps can vary by role, but the usual next steps are a skill or experience screen (e.g. a coding interview for an Engineer, a portfolio review for a Designer, deeper experience call for other roles) which leads to a virtual or in-person interview panel after that if the screens go well. Before making an offer, our interview process concludes with a references check stage for your recruiter to meet with a current or former supervisor and peer. We prioritize transparency and lack of surprise throughout the process. For your awareness you will only receive correspondence from any other domain not ending in Vestwell.com is not our Recruitment team. Vestwell's Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell's California Privacy Rights Policy.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Job Description The Product Engineer, Global Credit Technology is a hands-on engineering role focused on building and scaling business-critical applications for Carlyle’s Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. This engineer owns features end-to-end across backend services, frontend applications, and applied AI capabilities where appropriate. The ideal candidate combines strong technical execution with sound product judgment, is comfortable working in ambiguous problem spaces, and thrives in a business-embedded engineering model. Requirements: • 8 years of overall relevant software engineering experience, showing longevity within roles, • Bachelors Degree in Computer Science, • Experience with a strong focus on application development coding i either Python or React as primary language, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (LangChain, LlamaIndex) or working on own AI personal projects, but must be able to share production ready based AI functionality capabilities, • Prior experience or exposure to the alternative asset management or financial services industry, preferred, • Experience working with and coordinating offshore development teams, • This resource will be working closely with the Credit business users and offshore development teams - strong problem-solving and communication skills are a must, • Ownership driven with a proven background in delivering end-to-end solutions Company DescriptionAtlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.Atlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.

Job DescriptionJoin Us in Building the Future of Digital Work At Sola, we’re transforming the way work is done. We’re developing AI agents that make powerful automation effortless, enabling any user to record a workflow and instantly scale it up to millions of executions. Sola today powers enterprise workflows in Fortune 100 companies, with a horizontal platform that works across healthcare, finance, legal, logistics, and more. We’ve raised $21M in funding from a16z, Conviction (Sarah Guo), and Y Combinator, and are looking for passionate engineers to help us continue to scale. If you’re interested in being on the forefront of agentic automation, we’d love to hear from you! What to expect We‘re solving one of the most interesting problems in AI today: building reliable, deterministic execution on top of non-deterministic AI models. As a backend engineer, you’ll work directly on our AI orchestration systems to enable reliable, scalable, durable workflow execution across desktop and web. You’ll collaborate with our frontend team to surface that to the user in a way that is easy and intuitive. This is an opportunity to join a small, tight-knit team at our HQ in NYC. We believe the best work happens in person, especially at the early stage, and you’ll have the opportunity to learn from the founding team and early engineers to help shape the future of the company. What you'll do * Own systems that automate repetitive work across browser and desktop, handling concurrency, reliability, and observability at scale (millions of executions per month) * Collaborate with our CTO and ML research partners to bring state-of-the-art agentic workflows into production * Architect and build the backend systems that power our visual workflow builder – a Figma-style interface used daily by non-technical ops teams * Design and implement services that integrate with Sola AI models to generate workflows, gain insights, and drive adaptive execution logic What we're looking for * You thrive in a fast-paced environment where you can ship fast and solve problems end-to-end * You’ve built and operated distributed systems at scale, with a high standard for reliability, observability, and performance * You’re proficient across all layers on the backend, from infra to CI/CD to DB to backend service architecture * You’re fluent with the latest AI coding tools and are always looking for ways to move faster * You’re open to working 5 days a week out of our office in NYC (we’ll cover relocation!) You might excel if * You have hands-on experience operating at an early stage startup where ownership and execution in the face of ambiguity were essential * You’re an expert in some or all of our stack: TypeScript and Python, Kubernetes, Temporal, Postgres, DynamoDB * You’ve worked directly on AI systems or in ML ops at scale * You’re ambitious, creative, and a great communicator Why Sola * $21M raised from top-tier VCs (a16z, Conviction, YCombinator) and growing incredibly fast * Proven traction with Fortune 100 customers, with horizontal applicability across a variety of domains (including finance, healthcare, legal, logistics, and more) * Leading-edge agentic AI tech, solving deep problems in partnership with the AI labs (ex. Anthropic, AWS AGI Lab) * Small team, early stage, with an opportunity for outsized impact on the company’s future * Work closely with founders Jessica Wu (ex-Citadel, Thrive Capital) and Neil Deshmukh (MIT Quest for Intelligence Lab), alongside David Fullerton (ex-CTO Heap, Stack Overflow) Compensation & Benefits Sola offers competitive salary plus meaningful equity at Series A stage. Exact compensation is based on experience and level. We offer comprehensive medical, dental, and vision benefits, 401(k) matching, daily meals together in the office, flexible PTO (4 weeks per year), and relocation support for candidates not already based in NYC. Compensation Range: $150K - $300K

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Short Term Casual, • Bargaining Unit:, • Regular/Temporary: Temporary, • End Date if Temporary:, • Hours Per Week: 10, • Standard Work Schedule: Mon - Fri 9am - 5pm, • Building: Columbia University Medical Center The Department of Surgery is seeking a Student Research Worker (CU Student). We are looking for a highly motivated master's-level computer science student with an interest in computer vision. The primary role will be to enhance an existing cardiac surgical video analysis pipeline by expanding anatomy recognition models to support AI-assisted surgery. Responsibilities • Maintain and augment the existing pipeline of surgical video analysis modules., • Develop a pipeline using Segment Anything 2 for semi-automated anatomy segmentation., • Aiding other module development relating to AI-assisted cardiac surgery., • High School Diploma or equivalent certificate. Undergraduate degree, graduate student (Master or PhD program) in computer science, with intermediate coding experience in Python. * Coding skills as above. Columbia University is committed to the hiring of qualified local residents.

Position Overview The Vice President, Growth Analytics will manage the analytics relationship with the client. A successful candidate has an entrepreneurial spirit, can engage clients in economic insights, and can drive strategic thinking into client marketing solutions. We drive a new system of working that puts data, analytics, and technology at the core of every media planning decision. You will be engaged throughout all studies in overseeing data collection, determining analytical approach, results interpretation, and generating data-driven insights and optimization opportunities to solve business problems and challenges. This position is critical in hands-on delivery of studies and provision of actionable insights and recommendations to drive high client satisfaction. Will act as a key interface for clients and will work closely with Account Management and Mediabrands data & technology teams to ensure projects are aligned to client business goals and strategy. Responsibilities • Data Extraction, Transformation & Loading, • Data Quality & Hygiene, • Holistic business performance reporting & dashboarding, • Bridging the planning target to Audiences that we can buy/reach with media, • Audience measurement within and across channels, • Media measurement vendor evaluation, contracting & budget management, • Cross Channel Response Analytics & Media Plan Optimization, • In Channel Response Attribution Analytics & Investment Plan Optimization, • Team and people management, • Strong understanding of digital eco-system and industry reporting tools such as Social Media Monitoring (e.g. NetBase, Sysomos), 1st Party (e.g. CRM), 3rd Party (e.g. Blue Kai, Adobe DMP), Digital Ad Server (e.g. DCM, Atlas) & Site Served, Website Analytics (e.g. Omniture, Web Trends), • Strong understanding of the US data and ad tech ecosystem essential, with a focus on Media (e.g. impression, GRP, CPV, etc.), Measurement analytics, Quantitative business measures (LTV, ROI, Effectiveness, etc.), and Statistics (Correlations, sample sizing, t-value VIF etc.), • Experience with Tableau or PowerBI or any other dashboarding & data visualization tool is desirable, • Previous experience in a performance marketing environment, • 10+ years in Media Analytics and/or Audience Research, • Collaboration, including ability to drive clarity in a multi-stakeholder environment, • Strong project management skills and the ability to simultaneously lead multiple ongoing project streams, • Advanced critical thinking skills in using data and analysis to develop logic-driven point of views and insights, • Strong communication skills to convert complex analytical processes into easily digestible messaging, both verbally and in writing and with an attention to detail, • Demonstrated success in helping clients take concrete action based on analytics and data, • Demonstrated success in managing analytical, commercial, and emotional elements of a client relationship, • Familiar with coding - SQL/Python The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications. It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email___. Salary Range$180,000—$200,000 USD

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for a Full Stack Engineer to join our Technology Engagements team. You'll build production software across two tracks: custom AI solutions for Chatham's external clients (private equity firms, real estate investors, capital markets organizations) and internal applications that improve how Chatham operates. This is a hands-on building role. You'll write code every day, working across the full stack to ship applications that solve real business problems. The work spans client-facing platforms, workflow automation tools, and internal apps built in partnership with Chatham's product, technology, and business teams. We build with AI, not just about AI. You must be actively using LLM-powered coding tools like Claude Code, Codex, or similar to write, review, and ship code. This isn't optional or nice-to-have. It's how we work. What You'll Do • Build and ship full-stack web applications from database to UI, • Write production Python using modern frameworks (FastAPI, etc.) with clean architecture, solid design patterns, and well-structured code, • Develop React or similar-based frontends that are clean, functional, and user-friendly, • Design and build APIs, services, and integrations across systems, • Work with SQL databases to design schemas, write queries, and manage data, • Build LLM-powered applications: agent orchestration, extraction engines, tool-use patterns, and AI-integrated workflows, • Use Claude Code, Codex, or similar LLM coding tools daily to write, review, and ship code effectively, • Collaborate closely with the AI Solutions Engineers and team leadership to translate client requirements into working software, • Work cross-functionally with Chatham's product, technology, and business teams on internal tools and applications, • Own features end-to-end: architecture, implementation, testing, deployment, • 5+ years of professional software engineering experience, • Strong software architecture skills: design patterns, clean code structure, separation of concerns, building systems that are reliable, robust, and performant, • Full-stack development: Python (FastAPI or similar frameworks), JavaScript, TypeScript, React, • Solid experience with SQL, relational databases, and data modeling, • Hands-on experience building with LLMs: agent orchestration, RAG systems, prompt engineering, tool-use patterns, or AI-integrated applications, • Understanding of how LLMs work, their strengths, limitations, and how to build reliable systems around them, • Active daily use of LLM-powered coding tools (Claude Code, Codex, GitHub Copilot, or similar) to write and ship code. This is a hard requirement., • Experience building and consuming APIs, handling system integrations, and working through the full development lifecycle, • Comfortable working in fast-paced environments where priorities shift and you need to figure things out, • Ability to work independently, make decisions, and ship without heavy oversight, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • Preferred, • Experience with cloud platforms (AWS, Azure, or GCP), • Background at a startup or high-growth company, • Familiarity with data pipelines, ETL, or working with unstructured data, • Competitive compensation: base salary + performance bonus, • Small team, big impact: your work ships to real clients solving real problems, • AI-first environment: we don't just talk about AI, we build with it every day, • Domain expertise: learn capital markets and financial services from the inside, • Stability + speed: 30+ year firm with an entrepreneurial team culture For New York based candidates, the compensation range for the position is expected to be between $100,000 and $140,000 annually. Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience. Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off. About Chatham Financial: Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight. It's clear ahead. Our commitment is to carry that light forward in every partnership, every solution, and every market we serve. We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.

Manager, Claims Analytics AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for. We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience. AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. The Role We are seeking a Manager, Claims Analytics to lead analytic workstreams that help health plans better understand their claims data, uncover cost and utilization trends, improve reimbursement accuracy, and enhance overall operational performance. This individual will manage project delivery, mentor team members, and develop analytic solutions that generate meaningful insights for payer and provider clients. This role requires strong experience working with healthcare claims data, technical and analytical expertise, and the ability to translate complex findings into clear, actionable recommendations for stakeholders. Work You'll Do • Lead day-to-day delivery of claims analysis projects for multiple payer and provider clients, • Design analytic approaches that evaluate utilization, cost drivers, reimbursement patterns, and operational opportunities, • Develop advanced SQL queries, data models, and automated workflows to create scalable analytic solutions, • Guide managers and consultants in working with complex datasets including medical, pharmacy, eligibility, provider, and pricing files, • Validate data accuracy, ensure consistency across multiple data sources, and maintain rigorous quality checks, • Build dashboards and reporting frameworks using BI tools to support client decision making, • Translate large volumes of claims data into clear, compelling insights tailored to executive-level stakeholders, • Manage project plans, timelines, and prioritization across concurrent engagements, • Partner with clients to understand goals, develop custom analyses, and make strategic recommendations, • Support business development through proposals, scoping discussions, and client presentations, • Contribute to internal best practices, methodologies, and analytics frameworks, • 7+ years of experience in healthcare analytics, payer operations, and claims analytics with a Bachelor's Degree, or 11+ years of equivalent experience, • Demonstrated experience leading project teams or mentoring analysts and consultants, • Strong experience analyzing healthcare claims datasets, including medical and pharmacy, • Understanding of reimbursement methodologies across Medicare, Medicaid, Commercial, and other lines of business, • Proficiency in SQL or similar query languages used to analyze complex datasets, • Ability to identify trends, anomalies, utilization patterns, and cost drivers within claims data, • Working knowledge of healthcare coding and reimbursement structures including CPT, HCPCS, ICD, DRG, APC, and fee schedules, • Experience with BI tools such as Power BI, Tableau, or Qlik, • Strong communication skills with ability to explain analytic findings clearly, • Advanced proficiency in Excel or equivalent data tools, • Knowledge of payer operations, provider contracting concepts, and healthcare financial analysis, • Willingness to engage in direct client interaction, including travel to client locations, • Must be legally authorized to work in the United States without the need for employer sponsorship Preferred Requirements • Experience supporting practice growth, solution development, or analytics capability expansion, • Experience designing automated analytic workflows or ETL processes, • Experience with SQL Server, SSIS, Python, Snowflake, or similar data environments, • Familiarity with data warehousing concepts and healthcare data architecture, • Experience building visual analytics dashboards for ongoing monitoring and reporting, • Based in Chicago, IL, and flexible to work from our Chicago office as needed Compensation & Benefits • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays, • Own Your Day flexible work policy, • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match, • Generous paid parental leave options, • Employer-paid Life Insurance, Short Term Disability, Long Term Disability, • Charitable contribution matching program, • New client commission opportunities and referral bonus program AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available. We put humans at the center of our work We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-DNI

QA Tester Experience:- 10+Years Location:- Remote Mandatory skills:- Pytest Framework , Python, Databricks What is in it for you? As a QA Tester you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. QA

SVP Actuarial Engineering Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day, EPIC is always looking for people who have "the right stuff" – people who know what they want and aren't afraid to make it happen. Headquartered in New York City and founded in 2007, our company has over 3,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! Job Overview A unique opportunity for credentialed actuaries to transition into a technology solutions architect role and provide actuarial analytics tools for client executives and brokers that inform the business values chain of the deal cycles. We are looking for an SVP of Actuarial Engineering who is, first and foremost, an actuary who builds analytics products that non-actuaries can use. This is not a people management role in the traditional sense. You will be hands-on building, validating, and operationalizing actuarial models across EPIC's full commercial lines and benefits portfolio. You will work with a lean team and partner closely with solution engineers to move models from development into production on Azure Databricks platform. Equally important, you will translate complex actuarial outputs into clear, executive-ready presentations and documents. Your models will inform brokers in benchmarking risk, validating program pricing, and advising clients. You will also develop training materials and translate the solutions to practice leaders, client executives, and brokers. If you are a credentialed actuary comfortable in a Python coding and seeking to embrace modern tools and platforms for building scalable intelligent solutions, perhaps this is where that trajectory begins! Location Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations. What You'll Do • Actuarial model library across D&O, Cyber, General Liability, Professional Liability, Property, and Employee Benefits — frequency-severity models, loss development, layer pricing, limit adequacy, and program benchmarking., • Collaboration with other actuaries to translate actuarial model outputs into client-ready deliverables and executive presentations that brokers and practice leaders can use directly in deal cycles., • Operationalization of models built by other teams in the enterprise taking validated models through SDLC into production in collaboration with data & application engineering partners., • Design, build, and validate actuarial and statistical models for commercial lines pricing and portfolio analytics using Python., • Build and develop a team of actuarial professionals, leading from the front as a hands-on builder while scaling the team's modeling, analytics, and advisory capabilities across the platform., • Develop reusable analytics solutions that translate complex model outputs into board-ready presentations and client-facing analytical narratives., • Partner with solution engineering to operationalize models on governed platforms, owning the handoff from development through production within a structured SDLC process., • Manage and direct onshore and offshore vendor resources, providing domain guidance, quality review, and delivery oversight., • Collaborating with solutions leads on architectural decisions affecting client-facing actuarial deliverables., • Engage with practice leaders and client executives to embed platform deliverables into new and renewal business workflows, refining models and presentation layers based on stakeholder feedback., • Maintain model documentation, validation records, and auditability standards for client-facing and regulatory contexts. Credentials & Technical Skills • Actuarial Credentials — FCAS or ACAS preferred. Credential requirements are flexible for candidates with proven commercial lines brokerage business depth and a strong delivery-track record., • Python — Production-level Python for actuarial modeling, statistical analysis, and data manipulation. You write clean, maintainable code not one-off scripts., • SDLC Fluency — Working understanding of version control, testing, documentation, and engineering handoff as applied to model deployment. You don't need to be a software engineer, but you need to speak the language., • Data & Cloud — Comfort with large policy, claims, and exposure datasets. Working knowledge of Databricks, Azure, or equivalent platforms sufficient to collaborate with solution engineering partners., • 7+ years of actuarial experience with at least 3 years in commercial-lines brokerage, carrier, or consulting environments. FCAS or ACAS preferred., • Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field required; advanced degree preferred, • Demonstrated experience building actuarial models in Python — candidates who work exclusively in Excel or R will need to show a credible transition path, • Working knowledge of commercial lines insurance across D&O, Cyber, GL, PL, Property, and Employee Benefits — coverage structures, program towers, exposure bases, and the actuarial concepts underlying each, • Familiarity with how benchmarking, limit adequacy analysis, and TCOR modeling are used in client advisory and renewal negotiations The national average salary for this role is $180,000.00 - $220,000.00 in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data. Why EPIC EPIC has over 60 offices and 3,000 employees nationwide – and we're growing! It's a great time to join the team and be a part of this growth. We offer: • Generous Paid Time off, • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days, • Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave, • Generous employee referral bonus program of $1,500 per hired referral, • Employee recognition programs for demonstrating EPIC's values plus additional employee recognition awards and programs (and trips!), • Employee Resource Groups: Women's Coalition, EPIC Veterans Group, • Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development, • Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support, • Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs, • 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!, • EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation, • We're in the top

Senior Backend Engineer Bevel is an AI Health Companion that helps people make smarter decisions about their health every day. Our app brings together data across sleep, recovery, activity, nutrition, and more, and turns it into real-time, personalized guidance. Whether you're training for something big or just trying to feel better, Bevel helps you move with clarity and confidence. We're a small team of builders and creatives based in NYC. We are extremely passionate about our craft and view Bevel as part of our life's work. We care deeply about maintaining harmony in all aspects of life and know when to work hard and when to take breaks. Bevel launched last year, and we've been lucky to see incredible growth and support from our users. We're looking for incredible Senior Backend Engineers to help us build an ambitious roadmap. You'll get an opportunity to shape the future of Bevel and have full ownership and creative freedom to create your life's work. Responsibilities • Ship features across the entire backend stack, from data infra to product endpoints, • Build extensible and robust business logic for processing health data, • Prototype, productionize, and run experiments to improve accuracy, speed, and cost of AI/ML models., • Establish best practices for scalability, security, testing, and ML ops (model versioning, monitoring, alerting), • 4+ years of experience designing, building, and running a large-scale backend system, • Expertise coding in Typescript or Python, • Strong intuition for algorithms and working with data, • Brilliant at math and statistics, • Obsessive with your craft, • Great at communicating ideas, • A strong bias for action, • Know when to ask for help and how to help others, • Exciting work environment, • Competitive salary & equity, • Health, dental, and vision insurance, • Commuter benefits, • Paid lunch and dinner, • Work-life balance, • Pet-friendly office in Chelsea, • Unlimited PTO

Software Engineer New York, New York, United States Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported. We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes. We are looking for talented individuals who are motivated by the opportunity to have an outsized impact on not just their company, but the healthcare industry at large. What You'll Do • Design, build, and scale software systems to support our rapidly growing product and customer base. This is a generalist role with opportunities to contribute on both the backend and frontend. Depending on the team, this role may focus more heavily on particular parts of the stack with the ability to specialize - let us know what excites you!, • Use AI and LLMs to accelerate your impact and power innovative product features., • Own projects end-to-end by collaborating closely with the Product, Design, and Client Solutions teams, including scoping, design, implementation, and rollout., • Work with fellow engineers to raise the bar on our internal Engineering systems and processes, including testing, deployment, observability, and agentic coding., • B.S. or higher in computer science or a relevant field, or equivalent industry experience, • 2+ years of professional software engineering experience, • Experience with modern programming languages, such as TypeScript, Python, Golang, etc., • Experience developing software for cloud environments, • Product-engineering mindset: able to balance technical quality with velocity and user value, • Inspired by our mission to improve healthcare through technology, • Experience with TypeScript, NodeJS, React, GraphQL, AWS, PostgreSQL, or Terraform, • Experience building software in the health-tech or healthcare space, • Experience at early stage software companies, • Leverages agentic coding tools to accelerate time-to-value, • 100% paid employee health benefit options (including medical, dental, and vision), • 401(k) with employer funded match, • Unlimited vacation, • Commuter benefits, • Paid parental leave, • Catered lunch on Fridays, • Wellness stipend Courier Health is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Duties: -Develops innovation strategies, processes, and best practices. • Drives the execution of multiple business plans and projects., • Supports and ensures business objectives being met., • Leads the discovery phase of medium to large projects to come up with high level design., • Leads and participates in end-to-end service implementations, data feeds ingestion, and orchestration., • Designs and implements low latency services., • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity., • Troubleshoots business and production issues. The top candidates would have skills in Java, Scala, Python and Digital Marketing or E-Commerce exposure. • What will this person's day-to-day responsibilities be? Coding and developing solutions, trouble shooting, engaging with team on day-to-day operations, • What is the project this person will be working on? Marketing Technology - SEO, • What is the makeup of the team? 7 engineers located in US and 16 in India Java and Scala and Python and (Clouddb or DynamoDB or "Cloud DB") and GraphQL

Senior Backend Engineer At Qodo, we're building an AI Code Review platform that helps developers move fast, ship with confidence, and elevate code quality across the SDLC through deep, scalable codebase understanding. We're seeking a Senior Backend Engineer to join our Shift-left Solutions team. This team is focused on bringing code review directly into developer workflows - integrating with the tools engineers use every day like Claude Code, Cursor, Copilot, and other AI-powered development environments. This is a foundational role where you'll help shape how developers interact with code quality tooling, working closely with a collaborative team of senior engineers who value both moving quickly and building thoughtfully. Responsibilities • Build developer-first integrations: Design and implement integrations with modern development tools and AI coding assistants that feel natural and helpful to use, • End-to-End Ownership: Lead projects from design through production, taking responsibility for technical decisions and their outcomes, • Technical Leadership: Drive architectural discussions, establish engineering practices, mentor team members, and raise the bar for engineering quality, • Backend: Python, FastAPI, • Data Stores: PostgreSQL, Redis, • AI/ML: OpenAI and other LLM integrations, • 7+ years of hands-on experience building high-performance backend systems or scalable developer tooling, • Strong expertise in Python and modern backend development practices, • A collaborative approach to problem-solving and a willingness to share knowledge with teammates, • Familiarity with AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.), • Familiarity with GenAI product development For this position at Qodo, we offer: • All Qodo team members are also eligible for stock options, reflecting our belief in shared ownership and long-term growth, • Comprehensive medical, dental, and vision plans for you and your dependents, with company contributions toward your premiums, • 401(k) plan, • Commuter Allowance: We support flexible work, and for those who travel to the office two or more times a week, Qodo provides a commuter allowance to cover part of your travel costs, • Paid Time-Off: 23 vacation days

About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers - ranging from the world's top investment funds to Fortune 500 companies - depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture - recognized by Inc. as a Best Workplace for three consecutive years - emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData YipitData isn't a place for coasting - it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. • Ownership That Matters: You'll lead high-impact projects with real business outcomes, • Rapid Growth: We compress years of learning into months, • Merit Over Titles: Trust and responsibility are earned through execution, not tenure, • Velocity with Purpose: We move fast, support each other, and aim high - always with purpose and intention About The Role Signals is YipitData's B2B spend analytics platform for private equity and growth investors - helping them track software adoption, revenue, retention, switching, and competitive dynamics across thousands of companies. We're looking for a Tech Lead to own the technical direction of the Signals engineering team and drive the next phase of the product forward. This is a hands-on leadership role. You'll set the technical vision, make architecture decisions, and write code - while also unblocking your team, raising the engineering bar, and working directly with product, data, and revenue stakeholders to shape what gets built. You'll lead a small, high-output team of engineers and QA, and be the person accountable for the quality, reliability, and velocity of everything the Signals team ships. You'll be responsible for production-grade systems that customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator - both when things are going well and especially when they're not. The ideal candidate has led engineering teams before, treats AI coding tools as core infrastructure for how they work, and has a track record of shipping products that customers love - not just features that meet specs. This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As a Tech Lead, You Will • Own the technical direction of the Signals platform - architecture, system design, tech debt strategy, and engineering standards, • Lead a team of engineers and QA - set priorities, unblock work, conduct code reviews, and drive execution, • Stay hands-on: you're writing code, shipping features, and debugging production issues alongside your team, • Work directly with product, data, revenue, and customers to translate business problems into a technical roadmap, • Make the calls on build vs. buy, tradeoffs between speed and quality, and when to invest in infrastructure vs. features, • Own production reliability - you're the first person who cares when something breaks, and you drive the team to fix it fast and prevent it from happening again, • Raise the bar for the engineering team through mentorship, tooling improvements, and establishing best practices, • Use AI tools (Claude Code, Cursor, Codex) as a daily force multiplier for yourself and your team - and push the team to adopt AI-native workflows that accelerate output You Are Likely To Succeed If, • You have 6+ years of hands-on software development experience with at least 2 years in a technical leadership role - leading teams, making architecture decisions, and owning delivery, • You have shipped and maintained customer-facing SaaS products - you understand what it takes to build software that real users depend on, • You have strong system design instincts - you know how to architect systems, define clean interfaces, and make decisions that hold up as complexity grows, • You are stack-flexible: comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks). You learn new tools fast and don't let unfamiliar tech slow you down, • You have an AI-native workflow - you don't just use AI tools, you've fundamentally changed how you and your team work because of them, • You can context-switch between writing code, unblocking a teammate, and presenting a technical tradeoff to a non-technical stakeholder - all in the same day, • You are responsive and reliable - you take ownership of production systems and communicate proactively, especially under pressure, • You lead by example - your team follows your standard because they see you hold yourself to it first, • You hold a Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline What We Offer Our compensation package includes comprehensive benefits, perks, and a competitive salary: • Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more, • Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics, • The annual on-target earnings for this position is anticipated to be up to $200K - $230K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice

Company Description ArcSpan Technologies is an innovative audience monetization company operating within the rapidly evolving advertising technology (AdTech) and marketing technology (MarTech) industries. ArcSpan's core software, Audience Monetization System (AMS), is a best-in-class addressable audience data segmentation and revenue optimization platform supporting leading publishers and brands globally. As publishers transition and upgrade their revenue operations systems to succeed in the first-party addressable audience marketplace, AMS boosts customer revenue by enhancing the quality and quantity of real-time targetable contextual and behavioral audiences while tracking and optimizing to KPIs across digital channels. ArcSpan's enterprise technology product suite and AI-powered data solutions drive on-site and off-site monetization success for our customers worldwide. Established by digital industry leaders from Accordant Media, dentsu, NewsCorp, and Beeswax, ArcSpan prioritizes consumer data privacy and fosters industry transparency. The company is headquartered in New York City with an office in London. We are seeking a collaborative, experienced Software Engineer to join our team! ArcSpan is seeking a Software Engineer to join our growing engineering team as we continue to build advanced real-time first-party audience data monetization solutions. The Engineer will work closely across ArcSpan's engineering, data science and product development teams to bring innovative solutions to complex problems and add value. The desired candidate will advance addressable data technological capabilities and functionality through building new product features and engineering solutions, including coding, testing, deploying, and monitoring platform technology solutions. Job Description PRIMARY RESPONSIBILITIES • Work with product and engineering teams to understand business problems, then design, implement, and deliver appropriate solutions, • Develop and scale a containerized SaaS platform that is responsible for ingesting, processing, and activating customer data, • Support the architecture and design of ArcSpan's core technology and software, • Develop open-source applications that can be deployed easily on different cloud providers, • Manage test sessions of components and production environments., • Independently perform analysis, architecture, and design activities, • Analyze software with a goal of proactively identifying and correcting performance and scalability bottlenecks, • Keep abreast of industry and technology ecosystem changes and trends related to data, identity, privacy, and consent that would potentially impact development Qualifications The successful candidate will have: • BS/BA in Computer Science or related field preferred, • 4+ years' experience as a software engineer, • 4+ years in MarTech or AdTech, with programmatic technology, DSP, ad server, ad exchange or ad network experience required, • 3+ years' experience with AWS, Azure or Google Cloud Platform, • Hands on programming experience, • Demonstrated understanding of software development life cycle, development process flow and tools usage., • Expert level programming in Python/Java, JavaScript, SQL and NoSQL databases, • Experience with Agile (e.g., SCRUM) software development methodologies, • Expert level knowledge and experience developing both front-end and backend aspects on an application, including ability to troubleshoot complex problems, • Excellent diagnostic and troubleshooting skills, and problem solving, • Self-starter who can work with minimal direction, • Team player with a passion to teach others and enjoys a collaborative workplace, • Willingness to own initiative from inception to solution, • Great communication skills, energy, and enthusiasm to be part of a winning team Additional desired qualifications (but not required):, • Knowledge of S3/Google Storage, Lambda/Cloud Functions, Fargate/Cloud Run, CloudFront/CDN, • GitHub Copilot Additional Information ArcSpan offers an attractive compensation package including competitive base salary, company funded 401k, annual bonus, equity, comprehensive subsidized health insurance, generous time off policy, flexible working environment and other benefits. This is a hybrid position - the preferred candidate will enjoy inventing the future and are excited to work in-person three days weekly at our positively upbeat and snack-filled New York City HQ office. For this reason, candidates must be within daily commuting distance of NYC or willing to relocate. ArcSpan Technologies is an Equal Opportunity Employer. Applicant information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to work in the United States. Direct candidate applications only. Absolutely no employment nor outsource agency submissions please.

Global Rates - AI Engineer - VP Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview The Global Rates business is seeking an exceptional AI Engineer to drive the development and implementation of cutting-edge artificial intelligence solutions that will transform our trading, risk management, and client service capabilities. This role sits at the intersection of advanced AI technology and financial markets, offering the opportunity to build innovative solutions that directly impact business outcomes. As an AI Engineer within Global Rates, you will be responsible for designing, developing, and deploying AI-powered applications and systems that leverage the latest advancements in generative AI, agentic frameworks, and intelligent automation. You will work closely with traders, sales, quants and technology teams to identify opportunities for AI integration and deliver production-grade solutions. Key Responsibilities • Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks, • Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency, • Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications, • Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources, • Design and optimize vector databases and embedding strategies for efficient information retrieval, • Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications, • Build multi-agent systems that can collaborate to solve complex financial problems, • Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content, • Develop ETL processes for preparing training data and maintaining knowledge bases, • Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms, • Partner with business stakeholders to identify high-impact use cases for AI implementation, • Collaborate with quantitative researchers to integrate AI techniques into pricing and risk models, • Work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements, • Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs Education • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field, • 1-5 years of professional experience in AI/ML engineering, software development, or data science roles, • Demonstrated experience building and deploying production AI applications Generative AI & Machine Learning: • Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.), • Practical experience implementing Retrieval-Augmented Generation (RAG) systems, • Experience with agentic frameworks and autonomous coding systems, • Strong proficiency in Python, • Strong SQL skills, • Front end development

Lead AI Engineer for Banking Technology Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Lead AI Engineer, Banking Technology – C14 (SVP Level) (Hybrid) Role Overview We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver enterprise‑scale AI solutions for Investment, Corporate, and Commercial Banking. This role combines deep hands‑on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and AI-first engineering culture, partnering closely with multiple technology and business teams. Key Responsibilities End‑to‑End AI Leadership: Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases. Agentic Architecture: Architect advanced agent‑based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google). Full‑Stack AI Engineering: Build and deliver production‑grade, full‑stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). Rapid Value Delivery: Champion MVP‑driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time‑to‑value. Evaluation & Optimization: Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals. Technology Foresight: Proactively evaluate and integrate emerging AI technologies, particularly in agent‑based and autonomous AI systems, while acting as a thought leader and coach. Technical Leadership & Mentorship: Provide front‑line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams to build an AI‑first engineering culture. Strategic Domain Alignment: Ensure all AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact beyond pure technical implementation. Qualifications Programming: Expert‑level proficiency in Python and/or Java (Spring Boot); solid experience with JavaScript/TypeScript (Angular, Node.js). AI/ML Expertise: Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems). Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK). Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity). Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries. Proven ability to design and expose robust, scalable APIs for AI services. Engineering Excellence: Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI‑driven platforms. Architecture & Data: Strong experience designing API‑first, microservices‑based, and event‑driven systems, including AI‑focused data pipelines and lifecycle management. Platforms: Hands‑on experience with Docker and Kubernetes. Leadership & Communication: Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high‑impact technical discussions. Domain Expertise: Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes. Nice to Have Advanced data science expertise (statistical modeling, experimentation). Demonstrated experience mentoring and scaling AI‑first engineering talent in rapidly evolving toolchains. Experience: 10+ years of progressive software engineering experience with sustained hands‑on contributions. 3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures. Proven success architecting and delivering multiple enterprise‑scale AI solutions into production. Education: Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.

Software Engineer, ML Infrastructure Engineering · Full-time · San Francisco; New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the Role The ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursor's work building the world's best agentic coding model. We're looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience. What You'll Do • Collaborate with ML researchers to improve the throughput and reliability of training, • Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure, • Improve the density and scalability of compute environments to enable increasingly large RL workloads, • Create software and systems to automate building, monitoring, and running GPU clusters, • A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang, • Experience with distributed storage and networking infrastructure, particularly on Linux systems across cloud and bare metal environments, • Exposure to large-scale systems and their unique challenges, ideally across thousands of nodes with significant resource footprints., • Operational exposure to Nvidia GPUs with Infiniband or RoCE, particularly with Blackwell and Hopper-class hardware, • Exposure to Ray, Slurm, or other common compute and runtime schedulers

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Under the direction of the Director of CUIMC Analytics Development Team, the Analytics Developer develops and maintains the analytical and reporting tools used for advancing the joint missions of the Primary Care and Population Health departments. This position will design and create data structures, reports, dashboards, and related data extracts from CUIMC's Epic electronic health record (EHR) management system, legacy EHR systems and external data sources. This individual must be proficient in SQL coding, the use of institutional business intelligence tools, related data models, and best practices for data warehousing. In addition to development work, this position must be able to understand business requirements and translate them into technical documentation later used for development. The ideal candidate will be personable and competent at managing relationships within the two departments and across the organization. This individual will review analytic requests, provide status updates, set user expectations, and generally demonstrate the ability to explain technical solutions to others. This individual must be team oriented and possess strong customer service, communication, problem solving, and critical thinking skills. Responsibilities Database Development: Designs, develops, and maintains database objects using Microsoft SQL Server, and in future Snowflake, to support analytics and reporting needs. Responsibilities include writing and optimizing complex SQL queries, creating and modifying tables, views, stored procedures, and functions, and ensuring data integrity, performance, and scalability. Collaborates with data engineers, analysts, and stakeholders to translate business requirements into efficient database solutions, troubleshoot data issues, and support ongoing enhancements to analytical systems. - 30% Communication/Documentation: Engages with Primary Care and Population Health stakeholders to understand and clarify analytic and reporting needs. Advises on optimal technical and analytic solutions based on business requirements and data availability. Translates operational definitions, workflows, and reporting requirements into clear, detailed written specifications and documentation to support database development, reporting, and ongoing maintenance. Ensures documentation is accurate, standardized, and effectively communicates requirements across technical and non-technical teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and maintains reusable scripts and workflows for data extraction, cleansing, validation, and aggregation. Collaborates with team members to automate processes, improve data quality, and ensure efficient, scalable data pipelines that align with analytic and business requirements. - 15% Business Intelligence Development: Builds, enhances, and maintains client-facing business intelligence and reporting solutions using tools such as Power BI, Cognos, Excel, Epic's proprietary reporting and analytics tools, and other supported applications. Designs intuitive, performant dashboards and reports that meet user requirements, adhere to organizational standards, and support operational and strategic decision-making. Partners with stakeholders to validate outputs, incorporate feedback, and ensure solutions are accurate, reliable, and scalable - 15% Task Management: Manages multiple tasks simultaneously keeping sponsoring departments and team members updated on progress - 5% Maintains Standards: Maintains knowledge of internal and industry-wide policies, standards, and best practices, including HIPAA, IRB, and data governance policies and procedures to ensure all deliverables meet those standards - 5% Continuous Improvement: Seeks out additional training to improve skills in the team's technologies and new technologies, and to improve soft skills for better client and team relations - 5% Other duties as assigned - 5% Minimum Qualifications • Bachelor's degree or equivalent in education and experience plus three years of experience., • Demonstrated proficiency in writing, optimizing, and troubleshooting SQL queries in a relational database environment (e.g., MS SQL Server, Oracle, Snowflake, or other databases)., • Bachelor's degree in computer science, statistics, information systems, or similar discipline., • Epic clinical or revenue cycle certification (or certification within 6 months of employment)., • Proficiency in Python scripting., • Excellent decision making, critical thinking, and problem-solving skills., • Experience with administrative and/or operational data and reporting., • Experience with Power BI, Cognos, and/or other Business Intelligence tools., • Strong organizational skills with an emphasis on communication, detail, and follow-up., • Experience with Epic or other EHR systems and the operations of a healthcare organization., • Experience with other scripting languages for data analysis. Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: This position provides computational image analysis support to faculty, staff, and trainees within the Radiology Department, specifically the CBIG and CIMBID groups. The role involves designing and data analysis of algorithms (e.g., segmentation, reconstruction), coding in Python/C++, performance optimization, and collaborating with scientists on applications such as disease-progression tracking or autonomous navigation. Responsibilities • Analyze large, complex image datasets (e.g., microscopy, medical scans, satellite) to derive quantitative insights and correlate with clinical or experimental data., • Develop scalable pipelines to process large clinical datasets, manage image quality (QC), and ensure data consistency., • Assist in building custom software and scripts for image analysis, data management, and visualization., • Work with radiologists, clinicians, data scientists, and engineers to integrate tools into clinical workflows and research., • Preferred bachelor's degree in statistics, mathematics, computer science, or data science, • MSc degree in related field Columbia University is committed to the hiring of qualified local residents.

Consultant, Claims Analytics AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for. We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience. AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. The Role We are seeking a Consultant, Claims Analytics to support analytic engagements that help health plans better understand claims data, identify cost and utilization trends, improve reimbursement accuracy, and enhance operational performance. This role will support the analytics pod, with a focus on medical management and prior authorization use cases. The Consultant will work closely with Senior Consultants and Managers to execute analyses, develop data-driven insights, and contribute to client deliverables. Work You'll Do • Support claims analytics projects across payer and provider clients, • Execute SQL queries and analyses on large healthcare datasets, • Work with medical, pharmacy, eligibility, provider, and pricing data, • Assist in identifying utilization patterns, cost drivers, and reimbursement trends, • Validate data accuracy and support quality assurance processes, • Build dashboards and reports using BI tools to support client insights, • Translate analytical findings into clear summaries and presentations, • Collaborate with Senior Consultants and Managers on project execution, • Support documentation of methodologies and analytic approaches, • Participate in client discussions and internal working sessions, • 2 to 5+ years of experience in healthcare analytics, payer operations, and claims analytics with a Bachelor's degree, or equivalent experience, • Experience working with healthcare claims data or health plan datasets, • Proficiency in SQL and experience analyzing large datasets, • Experience with Snowflake, Python, Excel, or similar analytics tools, • Familiarity with BI tools such as Power BI or Tableau, • Basic understanding of healthcare reimbursement concepts and claims data structures, • Strong analytical and problem-solving skills, • Ability to communicate technical findings in a clear and structured way, • Ability to work collaboratively in a team-based environment, • Exposure to medical management, utilization management, prior authorization, or clinical operations, • Experience working with health plans or consulting firms, • Experience with automated analytic workflows or ETL processes, • Familiarity with healthcare coding systems including CPT, HCPCS, ICD, DRG, and APC, • Experience building dashboards or recurring analytics reports, • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays, • Own Your Day flexible work policy, • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match, • Generous paid parental leave options, • Employer-paid Life Insurance, Short Term Disability, Long Term Disability, • Charitable contribution matching program, • New client commission opportunities and referral bonus program AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available. We put humans at the center of our work We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-DNI

The Channel Simulation and Data Analytics Research Scientist will plan, manage, oversee and carry out extensive data processing and coding to implement existing data sets and channel modeling simulators in Python, and to build AI-based software tools to create new propagation prediction software, wo