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Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have: * Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every week and is doubling physician user count every month. We will reach millions by 2025. * An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time. * Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. All full-time roles are in person in New York. You can learn more about working with us in the last section of this page. As an Applied AI Engineer on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. * Scope and spearhead AI augmentation and automation projects across our product surface area, including: Unintuitive classifications, Data extraction and summarization, Precise content generation, Reference-based search and question answering, Process outcome prediction, Probabilistic triggering of workflows, and Multimodal model-powered bots * Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams * Stay on top of emerging AI methods and drive decisions around which models and techniques we use, including where we fine-tune and train models * Establish research strategies for various AI methods, including experimentation and evaluation protocols that control for both accuracy and consistency * Prototype and productionize AI functionality and agents, incorporating real-world feedback to refine them * Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions * Develop engineering process, tools, and systems to support faster AI product development (e.g., build a one-click eval system) and scaling (e.g., model invocation efficiency) * Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability * Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment * Combining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering * Automating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms * Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined * Scale across a growing range of drug classes, patient populations, and provider markets * Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style) * Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies) * Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows * Use our network to help biopharma partners accelerate drug development, launch, and access * Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations * Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies * Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs * Strong programming skills and general Computer Science knowledge * Experience driving AI projects end-to-end — from model development and data infrastructure to production deployment and real-world iteration * Proficiency with modern AI/ML technologies (e.g., LLM APIs, PyTorch, TensorFlow) and a strong foundation in full-stack web development (we use Python, React, TypeScript, PostgreSQL, and Kubernetes) * Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships * Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals * High___ with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Tandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: * Commit to audacity. "Whether you think you can, or you think you can't – you're right.” * Do the math. Be rigorous, assume nothing. * Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose. * Spit it out. Be direct, invite critique, avoid equivocation – we want right answers. * Be demanding and supportive. Expect excellence from everyone and offer help to achieve it. * Do what it takes to be number 1. We work hard to make sure we win. We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact: * Fully covered medical, vision, and dental insurance. * Memberships for One Medical, Talkspace, Teladoc, and Kindbody. * Unlimited paid time off (PTO) and 16 weeks of parental leave. * 401K plan setup, FSA option, commuter benefits, and DashPass. * Lunch at the office every day and Dinner at the office after 7 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms. Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you’re training for. We want to see pictures of your pets. We want to know your favorite robot (we have many). Even if you’re not a conventional “hacker” we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN. You’ll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a ___, as well as recently acquired ___ to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission. The Data & Analytics team mission is to enable rapid, data-informed decision-making for HUMAN. We do so by curating a 360 degree view utilizing a mixture of proactive insights, self-service data sets, and supporting infrastructure. We’re looking for a Senior Data Analyst to join our team to help build better data infrastructure and scale our current reporting. Sitting at the intersection of trillions of data points, coming from hundreds of industries, domains and apps, your role will be the intermediary, delivering insights and reporting to Finance, Marketing, and Operations and ensuring that we have reliable, insightful views curated to assist in data driven decision making. In particular, you will focus on improving our current reporting to be more streamlined and provide deeper analysis within both operational and product verticals. \n What you'll do: • Lead the analysis of large and complex data sets (trillions of data points across multiple product lines) to extract meaningful insights, trends, and patterns to support business decisions around our core products, • Collaborate with cross-functional teams, including Marketing, Finance, Product, and Rev Ops, to provide data-driven recommendations to help scale and optimize our current business operations, • Develop and augment existing data models and automated data pipelines (through dbt and Looker) to improve the efficiency and accuracy of data analysis, • Leveraging our internal data, which includes traffic from over 2 million domains and 1 million apps, create interactive dashboards and reports using BI tools to communicate insights to stakeholders, • Find opportunities for process optimization and operational improvements ensuring we have data accuracy and integrity in all parts of the operational funnel Who you are: • Ideal candidates will reside in Eastern time zone locations, • Excellent SQL skills (window functions, subqueries, CTEs, temp functions), • Familiarity with Salesforce, • Ability to work cross-functionally with both senior technical and non-technical team-members, • Experience utilizing a modern data stack (Snowflake, Github, dbt), • Comfortable working in an agile environment, • Strong attention to detail particularly as it relates to data validation, • 4 - 6 years of relevant experience in data analytics \n The base pay range for this position is $125,000- $160,000 which can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered. #LI-CW1 HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together! With Humans located in all parts of the world, we’ve fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, we have teams in Tel Aviv, Israel; London, UK; Victoria, Canada; San Mateo, CA; Miami, FL; and Virginia. We trust our Humans in choosing where they work and how they work. The total rewards package we provide reflects our commitment to our Humans’ personal career development, which includes annual stipends for wellbeing and learning & development. We also offer weekly in-office lunch for hybrid employees, dedicated time off, HUMAN days, and so much more. We’re constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections. If you are an individual with a disability or special need that requires accommodation, please contact us directly.

___ is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We’re looking for sharp, low-ego people to help us turn every business's creative ideas into a reality. Check out our ___ to learn more about the product. Why is Clay the best place to work in New York? * Customers love the product (100K+ users and growing) * We’re growing a lot (10x YoY for the past two years) * Incredible culture (our customers keep applying to work here) * In-person work (beautiful office space in Flatiron) * Well-resourced (raised a ___ expansion in Winter 2024 from investors like Sequoia and Meritech) We’re looking for a data science "Olympian" to own full-funnel insights—from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census) * Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product * Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders * Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery * Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively * Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively * Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products * 4+ year experience * Expert in SQL and Python or R * Robust understanding of statistical and machine learning methods * Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow) * Live in New York (or willing to relocate) Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed. * Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do * Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage) * Visa sponsorship: We get it - it's an arduous process, but we're not scared of it * Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that * Free lunch: Lunch is provided in office every day * Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave Learn more about Clay and what it’s like to work with us ___ Learn more about Clay and what it’s like to work with us

The ___ of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Developer Platforms group is an essential part of The New York Times' engineering organization. They are responsible for building our Internal Developer Platform, used by over 60 teams and 450+ engineers in NYT Product Engineering. As a member of the DevEx Application Delivery team within Developer Platforms, this DevOps Engineer will help enable engineering teams at the New York Times to ship code with high velocity and quality. You will report to the Engineering Manager of the DevEx Platforms team. This is a hybrid position, with the choice to work from home up to 3 days a week. * Help develop infrastructure and observability for Continuous Integration and Continuous Deployment platform that supports hundreds of builds and deployments per day to ensure system reliability and scalability * Production support of our users, including weekly on-call rotations * 3+ years of software programming(language-agnostic, but we use Go) and scripting like bash * 2+ years of infrastructure provisioning and monitoring using Terraform and DataDog or Prometheus and with cloud services like AWS or GCP * 2+ years of experience working with CI/CD systems like Github Actions, Jenkins, and ArgoCD * Experience troubleshooting issues with users: You are motivated by helping others succeed * 2+ years of experience running and troubleshooting workloads on Kubernetes clusters (understanding of resources management and observability) * Experience in prompt engineering or building AI-powered internal tools #LI-Hybrid REQ-018656 The annual base pay range for this role is between: $110,000 - $130,000 USD The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available ___. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click ___. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through ___. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the ___ or your ___.

Who we are: DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem, helping to build a better industry. Learn more at______. Responsibilities: • You have a DevOps approach by nature and technology enthusiasm with a sharp mind and a “can do” approach, • Plan, develop and support projects in close collaboration with Software Engineering teams as part of our US DevOps team, • Design, deploy, secure and own Kubernetes platform (Google GKE/Rancher), • Create tools to manage our CI/CD - kubernetes operators, microservices & other management tools, • GitOps - planning the CI/CD pipeline and allowing the developer to take ownership of it, • Contribute to the design and implementation of new products and features, making sure they are all developed so they fit nicely in DV infrastructure, • You will work alongside the development teams to provision, automate, and tune multiple environments across cloud platforms Who you are: • 5+ years as a DevOps Engineer, • 3+ year experience in managing/owning a Kubernetes-based platform., • 3+ years software engineering experience, • DevOps platforms (GitLab preferred ) experience, • GCP or AWS Experience., • Ability to leverage application and system metrics, log events, and wire data to analyze performance., • Mastery of infrastructure management and deployment frameworks (Terraform/Helm preferred)., • Team Player with an ability to work independently and good communication skills., • You have a strong desire to improve the developer experience of engineers that use our tools and software., • You are a believer in creating systems that encourage automation, observability and ease of maintenance., • Bachelor’s Degree in Computer Science or equivalent technical experience The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $213,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognise that the person we hire may be more or less experienced than this job description as posted. Not-so-fun fact: ___ shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist / Machine Learning Engineer Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion, • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy, • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph, • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)., • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes. We are looking for someone to join the team and work alongside data analysts, data scientists, media strategists, media buyers, and software engineers. This role is on the “Buyer Science” team: a group of data scientists who specialize in media measurement, data analysis, experimental design, and campaign optimization. You’ll work hand-in-hand with Known’s media strategists, media channel experts, and directly with clients to elevate their media performance and drive real business value. You will also work with other data scientists to develop campaign measurement strategies, build experimentation plans, and collaborate with media planners and channel teams to ensure media allocations are built scientifically. At the Consultant level, you’ll conduct analyses in service of campaign optimization, surface insights that go beyond media metrics to incorporate first party data, and help drive business strategy. You may find yourself working with our development team (Skeptic) to help productionalize deeper and more technical approaches to common media challenges. In many cases you would work with senior managers on the team and in some cases (especially over time) you would be expected to lead projects independently. You would be expected to embrace your project management responsibilities, from defining key business objectives, to designing the measurement or analytical approach, to analyzing data, and presenting findings. You would also be expected to ensure that our clients have an amazing experience and reinforce our relationship with them as trusted and valued partners. WHO YOU ARE AND WHAT YOU HAVE • A degree from a well-regarded college or university. STEM degrees are preferred., • 3+ years of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL., • 1+ years of experience building data science software., • Experience in strategy consulting, marketing and/or marketing research, with specific passion and background in technology and/or media. This should include examples of account / client management., • Understanding of the advertising and media landscape, especially as pertains to measurement vendors and ad platforms., • Superb communication and presentation skills, with a specific fluency in talking about strategic business problems – you combine a drive for analytical reasoning with a practical understanding of what our clients in marketing are trying to achieve., • Ability to communicate technical information with both technical and non-technical stakeholders, • Experience in making appropriate research or analysis recommendations for these business problems., • Proficiency in Google products (Sheets, Documents, Slides) and/or Microsoft Office (Excel, Word, PowerPoint)., • Ability to think strategically, analytically, and proactively about diverse business problems., • Passion for managing the quality & accuracy of data sources and downstream analytics, including checking your and others’ work., • Experience working on a variety of projects simultaneously and delivering results on a deadline WHAT YOU’LL DO • Project management and ownership. While you have will account-level project management support, you will independently manage work streams you own., • Understanding the client’s overall business objectives and translating them into a campaign and measurement strategy., • Overseeing the performance of media campaigns and amazing our clients, both by meeting their targets and creating insightful narratives through bespoke reporting. Writing reports and presenting to clients in a way that is engaging and persuasive., • Developing research, measurement, or analytical approaches., • Statistical analysis of complex data sets., • Managing the ingestion and cleaning of new datasets relevant to your work / projects., • Creating reproducible work through common coding languages (Priority: Python and SQL)., • Working with other data scientists and engineers to productionalize new tools ., • Interpreting data to understand the business implications of the research. Framing analyses, stories, and slides for client media plans and reports., • Serving as the key client point of contact on campaign measurement, optimization, and data infrastructure., • Creation of interactive data tools that are delivered to clients, such as dashboards for marketing campaign performance, media experiments, or simulation tools – you would be provided training in how to create these, but prior experience with MCI is a plus SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $120K - $130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster. Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors. Machine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following: * End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers. * Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow. * System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform. * Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks. * Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions. * Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems. * 3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS. * Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies. * Practical experience fine-tuning open-source LLMs and/or traditional computer vision models. * Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale. * Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance. * Academic background in machine learning, mathematics, or related fields preferred. * Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space. * Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.

As a Senior/Staff DevOps Engineer at Noetica, you'll be a key architect and creator of our next generation of infrastructure - a single-tenant system powering a best-in-class legal benchmarking platform and the engineering and research teams building it. As a Senior/Staff DevOps Engineer, you will:.

Company Information Waterfall Asset Management, LLC is an SEC-registered alternative investment manager focused on specialty finance opportunities within asset-backed credit, whole loans, real assets, and private equity. Waterfall was founded in 2005 by Tom Capasse and Jack Ross, two individuals who were early leaders of the ABS industry, and who together have over 60 years of proven ABS/Loan credit analysis, trading, banking, and servicing experience. Waterfall seeks to provide its client a compelling risk/return profile which is generally uncorrelated to most traditional investment opportunities. Waterfall is headquartered in New York, with additional offices in London, and Dublin. As of June 1, 2025, Waterfall approximately $13.1 billion in assets under management. Job Description Waterfall Asset Management is searching for an infrastructure engineer with at least 5 years of experience. The individual will be primarily responsible for implementing and maintaining our cloud infrastructure as well as serve as a manager and escalation point for the helpdesk. We are a hybrid cloud environment across a private cloud, azure, and AWS. The infrastructure team provides foundational technology, engineering, security, and support systems that power the innovative services at the heart of Waterfall’s investment strategies. We’re looking for a highly motivated technologist driven to provide exemplary customer service in a global environment. The ideal candidate is a self-starter, possesses exceptional problem-solving skills, a collaborative mentality, and an ability to bring innovative ideas to life. The role offers great exposure to all aspects of technology as well as the many and varied areas of the hedge fund. Specific job responsibilities include: • Provide day to day systems administration and support, • Design and build performant, reliable, and scalable infrastructure in both Azure and AWS, • Working with development and application teams to deploy new technology, • Coordinate with an outsource technology support firm and co-manage 4 dedicated helpdesk support techs from this firm, • Work with additional external vendors as needed (compliance, off-site storage of backups, and business continuity), • Act as an escalation point to helpdesk to assist in issue resolution, • Retain all licenses, renewals, and upgrades from IT vendors, • Recommend and implement necessary upgrades to system infrastructure, • Manage and support market data and trading systems, • Maintain up to date documentation of procedures and site infrastructure, • Work with external vendors for compliance, off-site storage of backups, and business continuity, • Proven engineering and operations experience in a globally distributed hybrid technology infrastructure, • Strong project and resource management skills with the ability to juggle competing deadlines, • Deep understanding of enterprise infrastructure technology including storage, network, computing, virtualization, and containerization, • Excellent communication, analytical and troubleshooting skills, • In-depth knowledge of Microsoft servers, Active directory, group policy, identity platforms, Microsoft 365 and associated services, • Advanced working knowledge of DNS, DHCP, and other TCP/IP –related protocols, • PowerShell and Batch scripting to automate daily tasks, • Solid understanding of business continuity including disaster recovery and data backup technologies, • Capable of multitasking effectively and efficiently in a high-paced environment, • Preferred financial industry experience including familiarity with market vendor applications, • Capacity to work independently with moderate supervision, • Ability to be flexible and successfully respond to multiple work pressures

Company And Culture Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories, including streetwear and style, music, sneakers, and sports. Complex is a juggernaut in the content and culture space, delivering unprecedented global reach. Complex is the world’s definitive cultural commerce, content, and experiential platform. We have created an all-new operating system built for the next generation, seamlessly integrating discovery, inspiration, community, and shopping. The company represents an expansion of the original vision with a deep understanding of convergence culture and its impact on contemporary society. Whether through video, long-form editorial, or social content, Complex tells stories that engage dynamic conversation with our communities. Our internet-breaking cover stories document the heroes of culture and take them to the next level through product collaboration and ___hoppability. Complex has become experts in creating immersive environments at our IRL experiences and cultural events. ComplexCon is our flagship festival bringing together the world’s most influential brands and artists for an unforgettable weekend of style, sneakers, art, design, food, music, inspiration and more. Join us to help redefine the way people shop, while building a global marketplace that moves at the speed of culture. Complex is committed to building a high performing team that is passionate about what they do and the communities we serve. Everyone at Complex truly believes in the company and its mission; it’s a requirement for working here. There is synergy within the teams that make Complex what it is, a well-oiled machine. Employees are at the forefront of the company's success because every one of us is given the opportunity to provide suggestions, feedback, and direction. About the Role We're seeking a Data Engineer to join our team who will be responsible for designing and building scalable data solutions that power our analytics and machine learning capabilities. In this role, you'll ensure data quality, reliability, and accessibility across the organization while working with various stakeholders to translate business requirements into technical solutions. \n What You Will Do • Design and implement scalable data pipelines using SQL and Python while maintaining efficient data models, • Develop comprehensive monitoring, testing, and alerting systems to ensure data quality, • Deploy and manage data applications using AWS cloud technologies (S3, EC2, Lambda), • Support machine learning initiatives through feature engineering and data model optimization, • Build tools and processes to improve team efficiency, • Create and maintain technical documentation while collaborating with analysts and stakeholders, • Work on analytics platform enhancement and cloud infrastructure management, • Participate in cross-functional collaboration initiatives Who You Are (Required): • Experienced professional with 3+ years of programming experience with SQL for data exploration and relational modeling, • Proficient in Python with 3+ years of experience building and maintaining data pipelines, • Well-versed in OLAP databases (Snowflake or Databricks), • Knowledgeable in AWS services (S3, EC2, Lambda), • Experienced with Apache Airflow or similar orchestration tools (Dagster, Prefect), • Understanding of big data frameworks like Apache SparkStrong analytical and critical thinking skills, • Experience with data experimentation and statistical analysis Who You Are (Preferred): • Experience with Shopify data integration, • Background in machine learning feature engineering, • Knowledge of data governance and security best practices, • Experience with real-time data processing, • Familiarity with data visualization tools, • Experience working in an Agile environment What We Offer • Best in class health, dental, and vision insurance, • Healthcare FSA, • Dependent Care FSA, • Commuter Benefits FSA, • Short-term/long-term disability and life insurance, • Paid Parental leave, • 401k with 4% match, • Pet Insurance, • Legal and Identity Theft Plans, • Vacation time and sick days \n$110,000 - $120,000 a yearThe Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.\n We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. Have on call responsibilities in rotation with the engineering team. Certified SysOps Administrator, Azure/AWS Certified DevOps Engineer.

Office Location: Lower Manhattan, NY Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products. Responsibilities: • Design, develop, and optimize machine learning models and pipelines for deployment in production environments., • Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment., • Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform., • Implement best practices for model performance monitoring, versioning, and retraining., • Work with cloud-based platforms and distributed computing frameworks to improve system efficiency., • Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency., • Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field., • 5+ years of experience in designing and deploying machine learning models in production., • Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn., • Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)., • Proficiency in distributed computing frameworks like Spark, Ray, or Dask., • Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring., • Familiarity with large-scale data processing, data engineering principles, and feature stores., • Experience with reinforcement learning, NLP, or deep learning applications., • Knowledge of graph-based ML, generative AI, or other advanced ML techniques., • Exposure to edge AI and model optimization techniques (e.g., quantization, pruning). The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements. Core Values & Expectations: Impact You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. Collaboration You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. Passion for AI & Innovation You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work. • Competitive Salary: Aligned with experience and market standards., • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure., • 401(k) Plan: Build your financial future with our retirement savings plan., • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines., • Growth & Development: Access professional development, learning opportunities, and career advancement support., • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen., • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

Our client, a large public sector organization, is seeking a DevOps Engineer for a remote, 12-month contract position. You will support the migration of an enterprise application from its current cloud environment to an on-premise server infrastructure. Job Description The DevOps Engineer will play a critical role in managing the implementation and configuration of hardware and software environments for various enterprise applications. The role involves gathering and analyzing system requirements, deploying the necessary components, and ensuring optimal configuration for performance and scalability. Responsibilities • Implement and configure infrastructure components including SQL Server, .NET web applications, and enterprise software packages., • Troubleshoot and optimize configurations to ensure performance, reliability, and security., • Investigate application problems and perform root cause analysis with resolution planning., • Develop and maintain system administration procedures and technical documentation., • Translate business requirements into technical specifications and deployment strategies., • Conduct proof-of-concept deployments for emerging technologies and make adoption recommendations., • Manage SSL certificate lifecycle across web farms., • Install and configure server software including:, • Microsoft IIS, • .NET Framework, • SharePoint, • SQL Server & SSRS, • Cognos BI, • LaserFiche, • AccuRoute, • Dynatrace AppMon Required Qualifications • 8+ years of experience installing and supporting Microsoft IIS (versions 6.0–10)., • 8+ years of experience with Microsoft SQL Server (2005–2016), including high availability clustering., • 8+ years of experience with Windows/SQL clustering and Active Directory troubleshooting., • 8+ years of experience in designing and implementing web server environments., • 8+ years of experience in overall application integration and F5 load balancing/reverse proxy configuration., • 6+ years of experience implementing and managing PKI infrastructure., • 6+ years of experience with Microsoft cloud services (PaaS, IaaS, Application Gateways, etc.)., • 6+ years of experience administering LaserFiche (including QuickFields and Workflow)., • 6+ years of experience with distributed web applications using Oracle, IBM DB2, or SQL backends., • 6+ years of experience implementing authentication mechanisms for web applications. Preferred Qualifications • Strong knowledge of load balancing technologies and virtualization., • Familiarity with authentication/authorization protocols (OAuth2, OpenID, SAML)., • Proficiency in PowerShell scripting and automation., • Experience integrating TFS/VSTS with Azure Web Apps. Work Location & Schedule * Location: Remote * Worksite Address (if occasionally required): Brooklyn, NY * Schedule: 35 hours/week * Contract Duration: ASAP start – 12 months (1,820 hours estimated) * Interview Format: Zoom or Microsoft Teams This is a remote position. Compensation: $75.00 - $100.00 per hour Years ago, SynergisticIT founders Carlos Pinzon and Antonio Proto recognized a significant gap in IT consulting and staffing services. On the one hand there are thousands of staffing firms who overload their clients with resumes that do not come close to meeting client needs. Alternatives—such as global consulting firms with costly layers of bureaucracy—achieve great results, but at a very high price. In response, Carlos and Antonio built a new type of IT staffing company where technical recruiters—all experienced IT professionals—match IT resources to our client’s exact job requirements, providing superior talent at a lower cost and far lower risk. SynergisticIT’s mission is to match great companies with great talent, serving our clients with professionalism, honesty and integrity. To be the number one choice of Fortune 1000 companies seeking critical IT talent. SynergisticIT has been providing leading Fortune 1000 companies and government agencies with top IT talent for over 25 years. Our firm is led by IT professionals so we understand you, respect your talent, and recognize the value you can provide to our clients. Whether you are seeking a consultant or a full time employee position, we will find a match for you with one of our premier clients. Unlike many other consulting firms, SynergisticIT will prepare you for the interview and support you throughout your consulting engagement.

Location: Remote Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezones, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • COBOL, • Web3 / Blockchain, particularly the Ethereum ecosystem Compensation and Benefits: • Base Salary: 90,000 - 130,00 USD per annum, • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Annual Adjusted Salaries: Every January, we review and adjust pay., • Holidays: 25 vacation days per year plus any national holidays., • A day off on your birthday—because you deserve to celebrate! (If it falls on a weekend, take another day off that week.), • Learning and Development Budget: 2,000 USD per year to invest in courses, certifications, or workshops to grow in your role., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Home Office Upgrades: 300 USD every two years to refresh your workspace at home., • Flexible Working: Flexible hours to support work-life balance., • Annual Company Retreat: Once a year, we fly the whole company to an exciting global location for a week of connection, collaboration, and fun—all expenses covered., • Team Meetups: Each team comes together in person once a year to build trust, spark ideas, and share meaningful moments that go beyond the screen., • Subscription Gift: 250 USD per year to spend on a personal subscription of your choice, whether that’s a streaming service, audiobook platform, or another subscription that adds enjoyment to your life., • Work Anniversary Rewards: At Livepeer, we love recognising your journey. As you reach 3, 4, 5 years and beyond, you'll be celebrated with gift card rewards., • Celebrate Life’s Big Moments: Whether it’s a wedding, a new baby, or another major milestone, we’ll mark the occasion with a celebration gift., • Referral Bonus: Refer great talent to Livepeer and earn 100 LPT tokens when they’re hired and successfully complete their probation., • Latest Tech: Work with cutting-edge AI and the latest technologies alongside an innovative and entrepreneurial team. Join Livepeer AI and shape the future of video streaming and AI tooling.

About the role We're looking for Site Reliability Engineers to work on our production infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region. The stack: We use Terraform to manage our infrastructure. We deploy everything to AWS via EKS. We use MongoDB deployed to Atlas. We do CI and deployments via CircleCI. We monitor production with CloudWatch, grafana, Pingdom and PagerDuty. DNS is managed by CloudFlare. Most engineers are in the on-call rotation. Our main server languages are TypeScript and Rust. Our data pipelines are written in Airflow and Scala Spark. We sponsor OpenStreetMaps, MapLibre and OpenAddresses. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or Multi-Stack at any level. We say Multi-Stack because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week. The hiring process: After a brief call with our CTO, we'll invite you to our NYC HQ for an interview if we think there is a possible match. During that time we'll work on system design problems together and do some coding for 2 hours to build something simple. You'll meet one of our co-founders and we'll also go into more depth about how we work to see if there is a match. What you’ll do: * Work on core Radar infrastructure using Terraform all deployed to AWS via EKS * Work on critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities * Have your work be used by 100's of millions of devices * Be part of the on-call rotation (one week rotation every 1-2 months) * Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: * Have experience managing a production AWS environment via Terraform * Have experience with high availability multi-region production infrastructure running on Kubernetes * Have experience managing large sharded Mongo clusters with heavy read-write workloads * Have experience at a high growth startup * Be interested in talking to customers or prospects and making them successful Bonus points if you: * Are a former technical co-founder * Have experience with high throughput data intensive applications You’ll work with * ___, CTO * ___, Senior Staff SRE * Our Engineering, Customer Success, Sales Engineering and Sales teams * Our customers and prospects Benefits & Perks: * Competitive compensation package and equity plan * Medical, dental, and vision plans with 100% premiums covered for you * 401(k) plan with a generous employer match * Unlimited PTO vacation policy * Paid parental leave * Weekly catered breakfast and lunch at our NYC office * Free CitiBike membership (if based in tri-state area) * Monthly fitness reimbursement and wellness programs via Classpass and Gympass Compensation: For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $250,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees a competitive equity plan with stock option grants. This is a meaningful ownership stake in the company that we provide to our employees as we build a category-defining company together. About Us ___ is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide. Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our ___ and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. The Chief Technology Officer Organization’s vision is to raise the bar for technical excellence, talent, strategy, and standards across Technology. It also seeks to cultivate and foster technical innovation, as well as elevate and amplify the technical heartbeat of the organization. Focus: The Event Solutions team is responsible for engineering, maintaining, and operating the infrastructure required for mass communications throughout the company. As Infrastructure Engineer – Digital Signage, you will perform engineering and servicing tasks applicable to the Digital Signage and IPTV product set within the Event Solutions portfolio. Organizational Context: Reports to the Engineering Director, Event Solutions within the Digital Workplace organization. Key Responsibilities: • Perform core technical activities to support infrastructure implementations and deployments, • Respond to customer request tickets with technical solutions to ensure platform functionality, • Organize and participate in planning activities for equipment moves, adds, and changes globally, • Organize and participate in planning activities for new infrastructure installations globally, • Participate in test planning and execution - Work with project teams to guide components from development to production environments, • Execute test plans to review new products, platforms, and infrastructure, • Participate in current-state system analysis and requirements gathering for upgrades and troubleshooting, • Support configuration and implementation deployments, • Contribute to the creation of technical design/implementation documentation, • Participate in troubleshooting activities, • Implement various software moves/adds/changes, including server software installations and configurations, • Provide support for ongoing platform infrastructure availability, • Work on prioritized/assigned projects Qualifications: • Bachelor’s degree in computer science, computer engineering, or related field required; advanced degree preferred, • Up to 7 years of demonstrated experience with systems analysis/programming, incorporating: design methodology, Infrastructure operations support or engineering, • Experience with digital signage and IPTV cloud solution deployment, design, troubleshooting, user support, and operational maintenance (Windows/Linux server management, testing, and device patches/upgrades, etc), • Experience with a variety of software languages, operating systems, or network protocols, • Knowledge of principles applicable to audio signal path, routing, AVoIP, and NDI, • Understanding of Active Directory, Service Now, IDP, technical infrastructure, network data flows (firewalls, proxies, DHC), etc., • Experience with ITIL practices, ITSM, • Proven record of cross-functional project management skills and collaboration with internal teams and external partners, • Ability to develop a solid understanding of the application and associated infrastructure, • High proficiency user of MS Office Product Suite products including PowerPoint, Excel, Outlook, • Strong email and verbal communication competence, • Meticulous attention to detail Range of Impact/Influence: Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: • Competitive base salaries, • Bonus incentives, • 6% Company Match on retirement savings plan, • Free financial coaching and financial well-being support, • Comprehensive medical, dental, vision, life insurance, and disability benefits, • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need, • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy, • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location), • Free and confidential counseling support through our Healthy Minds program, • Career development and training opportunities For a full list of Team Amex benefits, visit our ___. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “___” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: ___US Job Seekers - Click to view the “” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: ___Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams, • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment Pay Transparency: Min $145K - Max $175K. THIS ROLE IS NOT REMOTE. AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Join the Substrate Edge Team at Palantir, where we are responsible for mission-critical production infrastructure — encompassing hundreds of Kubernetes clusters across on-premise deployments - from large datacenter to ___. We are now seeking a Senior Infrastructure Engineer with specialized experience in Ceph to boost the scale, and reliability of our ruggedized Kubernetes offerings under novel operating constraints. If you are passionate about infrastructure at scale, have a deep understanding of Ceph, and are eager to engage with the broader open-source community, we encourage you to apply for this exciting opportunity. As a Senior Infrastructure Engineer, you will leverage your expertise in Ceph to manage and optimize storage solutions at scale, ensuring seamless integration with our Kubernetes infrastructure. You will play a key role in automating hundreds of deployments of Ceph clusters on heterogeneous hardware, and making core contributions to the broader Ceph and CNCF communities. \n Core Responsibilities • Manage Ceph at Scale: Design, deploy, and maintain Ceph storage solutions across diverse hardware environments, ensuring high availability and performance under challenging constraints., • Automate Deployments: Develop and implement automation strategies for managing multiple Ceph deployments, reducing manual intervention and enhancing operational efficiency using world-class tooling., • Innovate and Contribute: Drive the adoption of novel features and tools within the Ceph and CNCF ecosystems, contributing upstream as necessary to improve the broader community., • Engage with Communities: Actively participate in the Ceph developer community and the CNCF, sharing insights and collaborating on open-source projects., • Infrastructure Excellence: Collaborate with the team to design and build the next generation of Palantir’s infrastructure, focusing on systems that are scalable, stable, and secure. What We Value • Ceph & Rook Expertise: Practical, hands-on experience managing Ceph storage solutions, with a deep understanding of its architecture and operational nuances ideally using rook., • Automation Proficiency: Strong skills in infrastructure automation tools such as Terraform, Kubernetes Operators, and with coding proficiency in Go, Java, or equivalent., • Systems Programming: Experience in systems programming with proficiency in Go, Rust, C/C++, or equivalent languages., • Hardware and OS Knowledge: Deep familiarity with hardware configurations, operating systems, and diagnostic tools., • Networking Fundamentals: Solid understanding of networking principles, with experience in CNIs or cloud networking infrastructure preferred., • On-premise datacenter experience: Experience working with on-premise hardware, or as sysadmin/SRE in data centers. What We Require • Professional Experience: 4+ years of software development experience focused on core infrastructure with an emphasis on operational excellence., • System Design Expertise: 2+ years of experience in system design or architecture, including reliability and scaling of new and existing systems., • SRE / Operational Experience: 1+ year of being operationally responsible for production grade Ceph clusters., • Educational Background: Bachelor’s degree in Computer Science or equivalent practical experience. \n Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance, • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance, • Commuter benefits, • Take what you need paid time off, not accrual based, • 2 weeks paid time off built into the end of each year (subject to team and business needs), • 10 paid holidays throughout the calendar year, • Supportive leave of absence program including time off for military service and medical events, • Paid leave for new parents and subsidized back-up care for all parents, • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation, • Stipend to help with expenses that come with a new child, • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at ___ and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please ___ and let us know how we can help.

The ___ of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Developer Platforms group is an essential part of The New York Times' engineering organization. They are responsible for building our Internal Developer Platform, used by over 60 teams and 450+ engineers in NYT Product Engineering. As a member of the DevEx Application Delivery team within Developer Platforms, this Senior DevOps Engineer will help enable engineering teams at the New York Times to ship code with high velocity and quality. You will report to the Engineering Manager of the DevEx Platforms team. This is a hybrid position, with the choice to work from home up to 3 days a week. * Help lead infrastructure and observability for Continuous Integration and Continuous Deployment platform, and establish ideal CI/CD workflows, ensuring engineering teams at the New York Times can ship code with high velocity and quality * Production support of our users, including weekly on-call rotations * 5+ years of software programming(language-agnostic, but we use Go) and scripting like bash * 3+ years of infrastructure provisioning and monitoring using Terraform and DataDog or Prometheus and with cloud services like AWS or GCP * 2+ years running and troubleshooting workloads on Kubernetes clusters (understanding of resources management and observability) * 3+ years working with CI/CD systems like Github Actions, Jenkins, and ArgoCD * Experience troubleshooting issues with users: You are motivated by helping others succeed * Experience in prompt engineering or building AI-powered internal tools #LI-Hybrid REQ-018643 The annual base pay range for this role is between: $140,000 - $155,000 USD The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available ___. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click ___. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through ___. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the ___ or your ___.

We are looking for a highly skilled DevOps Engineer to join our dynamic team in the banking sector. The ideal candidate will have strong expertise in Groovy and Jenkins, along with a deep understanding of DevOps best practices to enhance software delivery and infrastructure automation. Key Responsibilities: • Design, develop, and maintain CI/CD pipelines using Jenkins and Groovy scripts., • Automate deployment processes to ensure efficient, scalable, and reliable software delivery., • Collaborate with development and operations teams to streamline the software development lifecycle., • Monitor and troubleshoot application performance and infrastructure issues., • Implement and manage Infrastructure as Code (IaC) using tools like Terraform or Ansible., • Ensure security and compliance standards are met throughout the deployment process., • Proven experience as a DevOps Engineer in a banking or financial services environment., • Expertise in Groovy scripting and Jenkins pipeline development., • GITHUB -Must, • Strong understanding of CI/CD principles and best practices., • Hands-on experience with containerization technologies (Docker) and orchestration tools (Kubernetes)., • Familiarity with cloud platforms such as AWS, Azure, or GCP., • Knowledge of Infrastructure as Code (IaC) tools like Terraform and Ansible., • Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment., • Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack)., • Understanding of security best practices in a DevOps environment., • Relevant certifications, such as:, • AWS Certified DevOps Engineer We specialize in developing and implementing cutting-edge technologies, software solutions, and products. Our offerings include infrastructure and consulting services, IT outsourcing, offshore solutions, training, and assimilation. Matrix also proudly represents some of the world's leading software vendors. With extensive experience spanning both private and public sectors—such as Finance, Telecom, Healthcare, Hi-Tech, Education, Defense, and Security—Matrix serves a distinguished clientele in Israel and an ever-expanding global customer base. Our success stems from a team of talented, creative, and dedicated professionals who are passionate about delivering innovative solutions. We prioritize attracting and nurturing top talent, recognizing that every employee’s contribution is essential to our success. Matrix is committed to fostering a collaborative and inclusive work environment where learning, growth, and shared success thrive. Join the winning team at Matrix! Here, you’ll find a challenging yet rewarding career, competitive compensation and benefits, and opportunities to be part of a highly respected organization—all while having fun along the way. To Learn More, Visit: ___ To Learn More, Visit: EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our ___. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer \n What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature development where required What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales. What We’re Looking For Must-Haves • 5–10 years of experience in software or ML engineering, • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.), • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering, • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment Nice-to-Haves • Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems, • Understanding of retrieval systems, embeddings, or vector search, • Experience in luxury, hospitality, or marketplace products, • Familiarity with feature stores, and observability tools, • Startup mindset: high agency, comfort with ambiguity, bias to ship Tech Stack Snapshot • Languages: Python, TypeScript, PHP, • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain, • Data: dbt, PostgreSQL, Redis, Airflow, Metabase, • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions Compensation & Benefits: • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees, • Flexible PTO, • Medical, dental, and vision insurance, • FSA, • Commuter benefits, • Free membership to One Medical, • Teladoc, • Talkspace, • Kindbody, • 401(k), • In-office lunch 3 days a week, • Employee Dining Credits Compensation commensurate with experience. Compensation: New York Pay Range$100,000—$200,000 USD Our Core Values Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members. Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond. Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings. Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make. Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life. Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride. Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.

___ empowers hospitals with an advanced care delivery operations platform, leveraging intelligent data analysis, predictive insights, and AI-driven recommendations. By holistically assessing operational factors, we help healthcare organizations: Optimize resource allocation Adapt to fluctuations in patient flow and demand Enhance operational efficiency Improve care coordination and delivery Our recent growth highlights: Team expansion from 70 to 130 professionals Quadrupled Annual Recurring Revenue (ARR) Strong capital efficiency, backed by a $___ investment from Goldman Sachs Now targeting $100M+ ARR, we’re seeking a skilled Data Scientist to help drive our next phase of growth. \n In this role, you’ll: • Model RSSI-BLE signals to enable digital asset tracking and contact tracing solutions., • Analyze real-time sensor data (e.g., time series, histograms) using statistical and deep learning methods to extract actionable insights., • Experiment with input signals and metadata (e.g., device models, power levels, signal strength) to improve accuracy and performance., • Leverage machine learning and cloud technologies to build scalable data science solutions., • Collaborate closely with product leaders and subject matter experts to develop analytics-driven solutions, enhance product features, and address business challenges. Job Requirements • University degree in Computer Science, Mathematics, Statistics, AI, Physics, or a related field., • Proven experience applying advanced analytics and machine learning to real-world business challenges., • Proficiency in Python programming., • Strong knowledge of data science and machine learning concepts, including:, • Clustering, regression, classification, and forecasting., • Neural networks and hyperparameter optimization., • Stochastic real-time data modeling and anomaly detection., • Data storytelling and visualization skills using tools like Apache Superset, Tableau, or QuickSight., • Customer-focused, results-oriented mindset with creative problem-solving skills., • Start-up mentality, with the ability to adapt quickly and take initiative., • Ability to work independently and deliver complex projects. \n We Make Things Easy Easy to Use. Simplicity is harder than complexity. Each of our apps focuses on a single user and a specific problem. We create solutions for everyone to help them get things done. Easy to Buy. We simplify pricing with a single, per-bed or per-room model that encompasses all the necessary products and services to achieve your desired outcomes. Easy to Deploy. Using AI, cloud, and mobile technologies, our equipment autonomously communicates and validates itself without the need for human intervention, cutting deployment time from months to weeks or even days. We Deliver Fast Outcomes Industry’s #1 Time To Value. We accelerate your ROI and deliver positive outcomes to users faster than anyone else, thanks to how easy things work with our AI- and cloud-based platform. Delivered As A Service. Delivering everything from devices to apps to support, our as-a-service model allows you to add new use cases with a simple click. Gain agility and speed like never before. Outcome Driven. We deliver outcomes, not boxed equipment. From on-site installation to monitoring, all the way to service-level agreements, our approach is uniquely designed to ensure the outcomes you need. We Ensure Unmatched Scalability Priced for Scaling. We offer scalable pricing, regardless of your project size. Enabling our customers to create value cost-effectively is a key element of our success. A Platform for Scaling. Lower TCO, quicker adoption of new use cases, extensive cloud scalability, and future-proofing your IT investments are among the many reasons why ___ is right for you. Managed for Scaling. SOC-2 and HIPAA compliant, our platform integrates with your wireless and security infrastructure, allowing you to use your current IT network with confidence and uninterrupted functionality.

People want to be informed and entertained. Great products make the two inseparable. Noise is a platform to discover and trade trends. Every day, millions of people make predictions about what will continue to matter: a brand, a conflict, a new technology. These predictions shape the global economy and advance culture. AI slop and the internet have accelerated content production to such an extent that predicting trends has become nearly impossible. Noise exists to solve this. We measure attention across the internet and allow people to trade on its future. The result is real-time markets on how brands, narratives, and ideas rise and fall. If we succeed, Noise becomes the standard for measuring attention and a new way to reveal what truly matters in the world. To learn more, follow us on ___. A little bit about our team: * Eight full-time employees based in the US * Fully in-person in NYC * Everyone either ships code, designs, or talks to users * Build in the Unknown: We have no interest in iterating on what already exists. Our goal is to create a new type of consumer experience centered on invention, not optimization. * Seek Truth Rapidly: We consider it a mistake to linger in speculation. We test, learn from feedback, and move forward with speed and clarity. * No Passengers: Everyone at Noise — engineers, designers, marketers — is in the room, in New York City. We’re a small team moving fast with care and intensity. We solve hard problems together. You do not need permission to try new things. * Action Your Taste: Our work carries the imprint of everyone who builds it. We are seeking a Senior Machine Learning Engineer to lead high-impact projects at the intersection of data engineering and data science. You will own the full lifecycle of turning complex, messy data into actionable insights and production-ready models—designing data pipelines, building scalable infrastructure, and developing algorithms that directly drive product and business outcomes. Responsibilities: * Architect and build scalable ETL/data pipelines, feature stores, and real-time data systems. * Lead the design, development, and deployment of advanced ML models. * Partner with product, engineering, and business teams to define problems and deliver measurable impact. Must Haves: * 3+ YOE in machine learning, data science, or data engineering roles, with significant hands-on coding in a production environment * Expert in Python (Pandas, NumPy, PySpark) and SQL; proficient in big data frameworks (Spark, Flink, Kafka). * Strong track record of building production-grade ML systems and data platforms at scale. * Deep knowledge of statistical modeling, machine learning, and experiment design. Our Tech Stack * Design: Figma * Frontend: React (Typescript), Vite, TailwindCSS * Backend: Java, Typescript, C++ * Research: Python, Pytorch * Infrastructure: AWS * Smart Contracts: Foundry How Applying Works * Intro & Behavioral Call — 45 minute chat with one of the founders * Technical Virtual Onsite — Live technical screening including 1 coding and 1 system design * Reference Checks — Share 2-3 references of previous supervisors you’ve worked with * Comp Review — 30 minutes chat with one of the founders to go over the offer Compensation To attract the best people, our goal is to provide competitive cash compensation and high upside in the long-term success of Noise. Equity options are subject to the same four-year schedule as the rest of the team.

As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and st

Location: Midtown, New York, NY (In-person Mon–Thurs, Remote Fridays)Team: Engineering – Infrastructure & Operations Company Description At ___, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. About the RoleWe are seeking a passionate and detail-oriented DevOps Engineer — across Mid, Senior, and Staff levels — to join our rapidly growing engineering team at Fun.xyz in the New York City Metropolitan Area. In this role, you will be responsible for building, scaling, and securing the infrastructure powering our web3 Checkout platform.You’ll work hand-in-hand with backend, frontend, and protocol teams to ensure system performance, resilience, and observability across a global, high-throughput financial network. From architecting CI/CD pipelines to enhancing on-chain deployment workflows, your work will directly impact how crypto users interact with decentralized systems in real time. • Design, implement, and maintain secure, scalable cloud infrastructure in AWS using Infrastructure as Code (IaC) (Terraform, CloudFormation, etc.)., • Build and manage robust CI/CD pipelines for automated build, test, and deployment., • Design and integrate end-to-end testing pipelines to ensure system reliability across environments., • Monitor, log, and troubleshoot system performance using Datadog or similar tools., • Collaborate with developers to ensure the platform is developer-friendly, testable, and highly available., • Automate manual processes to improve system scalability, security, and performance., • Occasionally contribute to tooling or services using TypeScript/___ when needed., • Support disaster recovery, backup strategies, and fault-tolerant architecture design, • Champion a DevOps culture of automation, collaboration, and continuous improvement, • 3+ years of experience in a DevOps, Cloud, or Platform Engineering role., • Strong experience with AWS services (e.g., EC2, EKS/ECS, RDS, Lambda)., • Proficient in IaC with Terraform, CloudFormation, or similar., • Experience managing modern CI/CD systems (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI)., • Hands-on experience with E2E testing automation and integration into deployment flows., • Experience with Datadog or equivalent monitoring/logging platforms., • Proficiency in scripting and automation (Python, Bash, or similar).Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)., • Ability to build and manage monitoring, alerting, and observability stacks, • Deep understanding of secure infrastructure design and best practices, • Excellent debugging, documentation, and cross-team communication skills, • A mindset for resilience, scalability, and zero-downtime deployments, • Prior experience with web3 infrastructure, such as running Ethereum nodes, IPFS, oracles, or validators, • Experience developing or maintaining tools/services in TypeScript/___., • Experience working with payments systems or financial-grade architecture, • Familiarity with blockchain infrastructure, nodes, and APIs (e.g., Web3, Ethereum, Solana)., • Exposure to event-driven or real-time streaming architectures (e.g., Kafka)., • Familiarity with GitOps tools like ArgoCD or Flux., • Hunger for working in fast-paced, high-growth environments where ownership is paramount, • You thrive at the intersection of systems engineering and developer enablement, • You’ve scaled platforms handling hundreds of transactions per second, • You build infrastructure that’s invisible when it works and resilient when it fails, • You take pride in automating everything and reduce toil wherever it lives, • You think of infrastructure not just as code—but as a critical product component, • Play a pivotal role in reshaping the crypto payments industry, • Be part of a team where deep technical rigor meets relentless execution, • Work on cutting-edge systems in both traditional infrastructure and decentralized environments

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility. We are looking to speak to candidates who are based in New York City for our hybrid working model. • Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service, • Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers, • Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware, • Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation, • Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability, • 3+ years of experience running a mission critical service at scale in a Linux environment, • Firm grasp of at least one modern programming language, beyond basic scripting, • Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc), • Bachelor’s degree in Computer Science or equivalent experience, • Experience writing automation tools & eagerness to "automate all the things", • Experience building large applications from scratch, complete with CI/CD infrastructure, • Experience in networking, security, hardware or OS performance tuning, • Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure), • Experience managing kubernetes clusters or some other container orchestration infrastructure, • Experience with observability of large scale distributed systems To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.___, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3263213607

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems. This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications. A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization. You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives. You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science. • A degree in a computational field (Ph.D. preferred), • 3+ years of experience in Data Science, ML Engineering or related field, • Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing), • Expertise with optimization algorithms and problem formulation, • Expertise in measuring predictions via A/B tests and other experiments, • Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses, • Advanced SQL, • Databricks, • Recommender systems, • Natural Language Processing, • Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize), • Event-driven and batch data pipeline architectures, • Workflow orchestration tools (we use Prefect and Rundeck), • Version control (we use GitHub), • CI/CD build and deployment tools (we use Travis and Jenkins), • Writing unit tests, • Proven track record in developing and deploying machine learning models and predictive software applications AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a data scientist who specializes in marketing modeling to join our team. In this role you will develop and evolve our internal marketing mix model, help create a roadmap to support its evolution, and deliver actionable insights driving business and marketing KPI. This role requires a strong background in data science, machine learning, and a deep understanding of marketing analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Develop and manage mix models to report on effectiveness of campaigns across all our products, • Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models, • Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources, • Create tools and models to generate actionable insights on Marketing campaigns, • Troubleshoot and resolve coding and modeling problems presented by others, • Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution, • Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results, • Present to senior leaders confidently and with impact THE STATS What we're looking for in our next teammate • Minimum of 5 years of industry experience in data science, analytics or engineering preferred, • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred, • Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice), • Experience creating and managing models for marketing mix and channel attribution, • Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications, • Experience with Git, at least familiar with concepts such as branches, commits, and pull requests, • Familiarity with on- and off-line marketing data, • Experience using simulations for scenario analysis and recommendations, • Experience delivering model result to business users and have recommendation implemented, • Knowledge of sports and/or experience working within a heavily regulated industry is a plus, • Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and cntribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look ___ Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and cntribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look How you’ll make an impact • Design, deploy and maintain a cloud infrastructure to support a Dataiku SaaS offering, • Continuously improve the infrastructure, deployment and configuration to deliver more reliable, resilient, scalable and secure services, • Automate as much as possible all technical operations, • Troubleshoot cloud infrastructure, systems, network, and application stacks, • Setting up monitoring, logging and tracing tools to detect and fix any potential issues What you’ll need to be successful • Hands-on expertise working with Docker and Kubernetes, • Strong experience leveraging cloud resources from different providers, • Hands-on experience with Infrastructure as code tools (Terraform/Ansible, Helm.),, • Knowledge of distributed systems like Hadoop and Spark, • Solution-oriented and automation first mindset What does the hiring process look like? • Initial call with a member of our Tech Recruiting team, • Video call with an Engineering Team Lead, • Home technical Assessment to show your skills, • Debrief of your Tech Assessment with two engineering team members, • Final Interview with a VP Cloud What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our ___. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: ___Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:

___ is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data. As a DevOps Engineer at Extend, you'll be responsible for building and scaling the infrastructure that powers document processing for mission-critical flows at companies like Square, Zillow, and Brex. We're looking to hire someone who can turn our current infrastructure into a battle-tested platform that scales to billions of documents. * We've grown revenue 15x last year to several million ARR, with our growth continuing to accelerate * We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more * The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS * We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact * We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join. * You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership * We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces * You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap. Our infrastructure processes 10s of millions of documents monthly, and when we go down, real-world consequences follow — missed payments, delayed home closings, broken business workflows. You'll own the reliability and performance of systems that our customers bet their businesses on. * Scale our infrastructure 100x across API calls, document processing workloads, and terabytes of data. * Build deployment pipelines and tooling that let enterprises run Extend in their own environments with one-click deploys * Obsess over performance, and shave milliseconds off latency at every part of our stack. * Create dashboards and alerts that help us understand not just what broke, but why it broke and how to prevent it * Design isolation and security boundaries that let us serve everyone from startups to Fortune 500s on the same platform * Have complete ownership over the work you do — as a early team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers. * Work directly with the CEO, CTO, and other founding members and help build out our team. * 4+ years of experience building complex software systems in production environments * You're fluent in modern cloud platforms (AWS/GCP) and infrastructure as code (Terraform, K8s) * You've been at high-growth startups and know what "great" looks like * Ability to take abstract projects end-to-end, operating with high agency * You've scaled infrastructure at high-growth startups * Experience with developer tools is a plus

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management. We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US. As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers. You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies. • Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related, • Determine which AI/ML approach, if any, is suited for the problem, • Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches, • Design and implement scalable and robust data collection mechanisms, • Design and implement principled evaluation mechanisms, • Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers, • Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes), • Design and build APIs and infrastructure to serve such data at scale and with low latency, • Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers., • Bachelor’s degree, Master’s degree, or equivalent practical experience ((in Computer Science or related fields) with 3-5+ years of experience, • PhD degree (in Computer Science or related fields) with 1-3+ years of experience, • Strong communication and collaboration skills, • Identify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solution, • Passionate about developing scalable and efficient AI/ML solutions, • Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below is for the role in New York, based on a Full Time Schedule. $166,000 - $204,000 USD What Celonis Can Offer You: • Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business., • Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities., • Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and ___., • Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs., • Connect and Belong: Find community and support through dedicated inclusion and belonging programs., • Make Meaningful Impact: Be part of a company driven by strong ___ that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future., • Collaborate Globally: Join a dynamic, international team of talented individuals., • Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this ___. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ ___ Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our ___. Please be aware of common job offer scams, impersonators and frauds. Learn more ___.

Job Title: Cloud DevOps Engineer / Architect Location: [New Jersey | Remote] DataEconomy is seeking highly skilled Cloud DevOps Engineers / Architects with deep Terraform expertise and a proven track record in automating and operating enterprise-scale infrastructure through Infrastructure as Code (IaC) practices. This is a critical role supporting tier 1 financial applications, with an emphasis on security, high availability, and automation at scale. The ideal candidate will demonstrate mastery of Terratest, extensive experience in integrating with security and certificate management tools such as Ping, HashiCorp Vault, and Venafi, and a strong understanding of AWS, DevOps toolchains, and infrastructure security. Key Responsibilities · Design, develop, and maintain scalable Terraform modules for infrastructure provisioning on AWS. · Implement Terratest-based testing for infrastructure validation and enforce best practices. · Build and maintain secure, resilient infrastructure for financial and mission-critical applications. · Integrate infrastructure workflows with security platforms (e.g., Ping, Vault, Venafi) for certificate management and identity federation. · Architect and implement CI/CD pipelines for infrastructure and application deployments. · Support application migration of critical financial systems to AWS cloud platforms. · Collaborate with platform, security, and networking teams to ensure compliance and operational excellence. · Provide technical leadership in driving automation, observability, and DevOps maturity. Required Skills & Experience · 5+ years hands-on experience with Terraform, including reusable modules, state management, and remote backends. · 7+ years of DevOps experience with tools such as Jenkins, Git, Python, Docker, and Kubernetes. · 3+ years experience working with core AWS services (EC2, IAM, VPC, S3, EKS, etc.). · 5+ years experience in networking, EKS, AWS Firewall Manager, and AFT. · 5+ years experience architecting and deploying high-availability financial trading platforms. · 3+ years implementing or supporting financial systems, with emphasis on reliability and security. · 6+ years of designing and implementing CI/CD pipelines for critical systems using modern tools. · 4+ years of experience migrating financial IT applications to AWS cloud environments. · Hands-on experience integrating with HashiCorp Vault, Venafi, and PingFederate or similar tools for certificate and secret management. Preferred Qualifications · Experience with Terragrunt and managing IaC across multi-account AWS environments. · Familiarity with AWS Control Tower and Account Factory for Terraform (AFT). · Exposure to regulated industries (finance, healthcare) with compliance standards (e.g., SOX, PCI-DSS). · Experience with infrastructure observability and tools like CloudWatch, Prometheus, Grafana. · Strong communication skills and experience in leading technical discussions with cross-functional teams. Certifications (Nice to Have) · HashiCorp Certified: Terraform Associate · AWS Certified Solutions Architect – Associate / Professional · Certified Kubernetes Administrator (CKA)

Do you love working with cloud infrastructure at scale? Optimizing the last bit of performance and efficiency out of applications that get hundreds of thousands of requests per second? Digging deep to determine the root cause of an outage? Building and maintaining infrastructure toolkits that hundreds of developers will use? Maintaining large distributed databases? Come work on the Site Reliability & Infrastructure Engineering team at Vimeo! Your job will be to design, develop, deploy, maintain, and optimize the platform that powers an application that is part of the infrastructure of the Internet: Vimeo. SRE at Vimeo spans the domains of platform engineering, database administration, release engineering, and internal tools. What you’ll do: • Build, secure, and evolve platforms which power the applications that make up Vimeo, • Build and maintain tooling which makes manual infrastructure work obsolete and enables self service for engineers, • Improve observability and reliability of applications to reduce outages to an absolute minimum, while reducing MTTA and MTTR, • Write and maintain thorough documentation to share with your teammates around the world, allowing them all to function as a cohesive unit, • Contribute to an internal self-service infrastructure platform used by all engineers for application development and deployment., • Participate in a weekly on-call rotation shared between offices in the US and India, which includes responding to production incidents and providing internal support to other engineers at Vimeo, • Whatever it takes (within reason) to make Vimeo faster, simpler, more scalable, more reliable, and more efficient to operate Skills and knowledge you should possess: • At least 3 years of professional experience in software development or DevOps with high proficiency in at least one general-purpose programming language (C/C++, Go, Java, Ruby, PHP, Python, etc.), • Deep understanding of the architectural patterns of high-scalability distributed systems, • Expert-level proficiency maintaining, optimizing, and administering Kubernetes deployments, • Strong knowledge of container orchestration, Linux system internals, networking, and secure computing., • Significant experience with major cloud providers (Google Cloud, AWS), • Significant experience with deploying and administration of MySQL, • Experience with “Infrastructure as Code” platforms such as Terraform, • Experience with observability systems, such as Datadog, Grafana, Prometheus, VictoriaMetrics, OpenCensus, and Graphite Bonus points (nice skills to have, but not needed): • Knowledge of ArgoCD, Atlantis, Varnish, Memcached, and/or Chef, • Experience with generalized build systems (make, bazel, please, etc.) or language-specific build systems (SWC, Turborepo, etc.). Base Salary Range: • NYC Metro, Bay Area, Seattle, & Los Angeles: $130,000 - $178,750 At Vimeo, we strive to hire and nurture amazing talent across the globe. Actual salaries will vary depending on factors including but not limited to experience, specialized skills, internal alignment, and location. Base salary is just one component of Vimeo’s total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! Other rewards may include variable compensation and Restricted Stock Units (RSUs). We also offer paid time off, generous 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurances, wellbeing resources, and more. #LI-MM1 About Us: Vimeo (NASDAQ: VMEO) is the world's most innovative video experience platform. We enable anyone to create high-quality video experiences to better connect and bring ideas to life. We proudly serve our community of millions of users – from creative storytellers to globally distributed teams at the world's largest companies – whose videos receive billions of views each month. Learn more at ___. Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity, and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.

Bright Vision Technologies is a leading IT consulting and staffing firm, committed to connecting top-tier professionals with cutting-edge technology opportunities across the globe. As a women-owned company, we take pride in fostering innovation and career growth. Our success stories include the successful placement of numerous IT professionals in Fortune 500 companies, enabling them to build rewarding careers in the United States. We are currently inviting applicants from all over USA for our esteemed clients. We seek highly experienced professionals with 10+ years of experience in the latest technologies across various domains. Job Title: AWS Cloud Engineer Experience: 10+ years Job Type : Full time Job Description: Join our team as an AWS Cloud Security Engineer responsible for implementing security frameworks and ensuring regulatory compliance in cloud environments. Key Responsibilities: * Design and enforce security controls across AWS cloud infrastructure. * Implement security monitoring tools like AWS Security Hub and GuardDuty. * Manage identity and access policies with AWS IAM and AWS Organizations. * Conduct security audits and ensure compliance with industry standards (SOC 2, ISO 27001, NIST). * Automate security incident response using AWS Lambda and AWS Config. Required Skills: * AWS Security Services (GuardDuty, Security Hub, IAM, KMS, WAF) * Compliance Frameworks (SOC 2, HIPAA, NIST, ISO 27001) * SIEM Solutions (Splunk, AWS CloudTrail, CloudWatch) * Automation & Scripting (Python, Terraform) Preferred Skills: * AWS Certified Security – Specialty * Zero Trust Security Model * Cloud Forensics & Incident Response Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to or contact us via phone at +1 (908) 505 3454 At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.

Client Name: City of New York Contract Length (in weeks): 52 Weeks To provide support for the migration of Cybershift from its current cloud implementation to in-house, on-premise Clients servers. The Dev Ops Engineer will be responsible for: • Management of the implementation and configuration of hardware and software packages utilized to deploy components required by the SESIS project including (but not limited to) SQL Server, LaserFiche, AccuRoute, TIENET, Dynatrace, and .NET web servers and applications., • Investigates application problems and issues, performs root cause analysis, develops action plans for resolution, resolves problems and issues, documents resolutions, and disseminates conclusions., • Develops and updates system administration procedures and works closely with other IT resources, including business analysts, project analysts and server operations., • Assists in the analysis of business requirements and identifies appropriate technologies to implement effective solutions and optimize productivity., • Works with business partners to understand requirements and translate them into system specifications., • Research emerging technologies in the Internet hardware and software arenas, implements proof-of-concept deployments and makes recommendations for adoption of new technologies and tools., • Installs and configures server software, including but not limited to Microsoft IIS, .NET Framework, SharePoint, SQL Server and SSRS, Cognos BI, TIENET, Laserfiche, Accu-Route, Dynatrace AppMon, • Manages SSL certificate lifecycle and deployments to all web farms MANDATORY MINIMUM QUALIFICATIONS The successful candidate must have minimally achieved the following level of experience: • 8+ years’ experience of Install, configure and support Microsoft IIS 6.0, 7.0, 7.5 , 8.0, 8.5, 10 servers, • 6 years’ experience of deep understanding implementation expertise of PKI infrastructure, • 8 years’ experience and knowledge of Microsoft SQL Server 2005, 2008, 2014 and SQL 2016, • 8 years’ experience in design and implementation of MS SQL high availability clustering solutions., • 6 years’ experience in implementation and troubleshooting of Microsoft Cloud offerings related to PaaS WebApps, PaaS DBs, IaaS and networking components like vNets, NSGs, Application Gateways, VPN gateways, Application Insight and Desired State, • 6 years’ administration and maintenance experience in document management systems like LaserFiche including Quickfields, Workflow and other application integration components., • 8 years’ experience in troubleshooting Windows Active Directory, • 6 years’ expertise in troubleshooting distributed internal and public facing Web Applications / Web services with Oracle, IBM DB2 and MS SQL backend DBs., • 6 years’ experience Implementing various authentication mechanisms for applications using different authentication options available for web based applications., • 8 years’ experience in designing and implementation of web servers., • 8 years’ experience F5 load balancing/reverse Proxy configuration., • 8 years’ experience in overall application design and integration., • 8 years’ experience Windows/SQL clustering. PREFERABLE QUALIFICATIONS • Good working knowledge of load balancing technologies., • Understanding of authentication/authorization mechanisms like OAuth2, OpenID and SAML., • Deep understanding of virtualization technologies, storage and networking backend infrastructure., • Expertise in creating and troubleshooting PowerShell scripts., • Experience in automation of day-to-day tasks using PowerShell., • Knowledge of managing and integrating on prem TFS and cloud bases VSTS with Azure Web Apps.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic Need We have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Establish architectural patterns that become standards across StubHub's ML ecosystem Core ML Infrastructure & Exploration • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Explore innovative solutions outside standard approaches for complex ML infrastructure challenges Technical Leadership & Mentorship • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Lead complex technical initiatives spanning multiple teams and quarters Being the "Glue" • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Experience mentoring engineers and establishing technical best practices across teams Staff-Level Capabilities • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Mentorship and sponsorship experience growing junior and mid-level engineers Nice to Have • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer: • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$350,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found ___For California Residents: California Job Applicant Privacy Notice found We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s ___ explain what we do and ___ explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Role Overview: As part of Citi’s broad transformation strategy, Data Engineering group is undertaking a large-scale multi-year Agile transformation. This will need strong engineers, agile practitioners, and technical visionaries to drive the success. To this effect, Application Development Group Manager plays a pivotal role in the execution of data and technical strategy. A seasoned practitioner with experience of working with enterprise data warehouses and experience with data intensive systems. Excellent communication skills required in order to negotiate internally, often at a senior level. Necessitates a degree of responsibility over technical strategy. Responsible for handling staff management issues, including resource management and allocation of work within the team/project. The job will require partnership with stakeholders globally to develop, implement and roll out technology solutions to address a wide array of complex business problems. The Applications Development Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities. Responsibilities: * Provides architectural vision, ensuring architecture conforms to enterprise blueprints * Develops architecture, strategy, planning, and problem solving solutions on an enterprise level * Interfaces across several channels, acting as a visionary to proactively assist in defining direction for future projects * Maintains continuous awareness of business, technical, and infrastructure issues and acts as a sounding board or consultant to aid in the development of creative solutions. * Experience with developing metadata driven frameworks for data processing/transformation and built real-time processing solutions * Position requires excellent communication skills to drive the change required and ability to translate the vision into technical artifacts * Identify and apply optimization techniques to improve performance of existing applications * Provides thought leadership in subjects that are key to the business. * Provides senior-level technical consulting and mentoring during design and development for highly complex and critical data projects * Effectively collaborate with other members of the team, vendors and business stakeholders to align work efforts, develop and execute strategic and tactical plans that enable successful upgrade * Knowledge of technology solutions in one or more of the functional areas is preferable– Banking or Trading Book products * Data modeling experience in a financial services environment, preferably Enterprise Data warehouse Model based on Banking Model * Understand the underlying technologies and applications utilized with the specified area of responsibility and stay abreast of industry leading practices to direct how to design, develop, test and implement priority technology requirement * Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions * Impacts the technology function through contribution to technical direction and strategic decisions. * Accountable for end-to-end results including such items as: budgeting, policy formulation as well as providing future state technology strategies for an effort. * Uses developed communication skills to negotiate and often at higher levels. * Performs other job duties and functions as assigned * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * 10+ years relevant experience on building data engineering solutions for large scale Operational and Data Warehouse implementations * Consistently demonstrates clear and concise written and verbal communication * Management and prioritization skills * 8+ years experience in building enterprise data warehouse systems in finance sector is preferable * 8+ years of relevant experience in Application Development for Enterprise * Knowledge on Ab Initio suite of products is preferable * Technical Skills - Oracle; Netezza:DB2, Microsoft SQL Server, SAS, Operating System/Hardware Platforms: UNIX (Sun OS, Solaris; Linux); Mainframe; Windows, Java/J2EE, Hadoop, Scala, Hive, Impala, Kafka and Elastic along with focus on data analysis/analytics. * Core Skills - 10+ years experience in handling Large Teams: IT Projects Design and Development; Enterprise Architecture; Data & Database Architecture; Project Management; Software Development Life Cycle: Risk Management; On/Off Shore large teams management; * Ability to develop working relationships * Ability to manage multiple activities and changing priorities * Ability to work under pressure and to meet tight deadlines * Self-starter with ability to take the initiative and master new tasks quickly * Methodical, attention to detail Education: * Bachelor’s degree/University degree or equivalent experience * Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Jersey City New Jersey United States Primary Location Full Time Salary Range: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Apr 18, 2025 Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View the "___" poster. View the ___. View the ___. View the ___ View the

Rilla builds the world’s leading conversation intelligence software for offline commerce. By recording, analyzing, and indexing conversations, our platform supplies unparalleled alpha to the critical, physical businesses that constitute the backbone of our economy. Our purpose is to bring the technology of the 21st century’s most innovative companies to the rest of the economy. As a side effect of this mission, we’ve become one of the fastest growing companies in history. In numbers, that means 0→$40M in 3.5 years, growing 15% MoM, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and profitability. AI Engineers at Rilla are redefining how humans interact with machines—using voice, intelligence, and a whole new class of data. Every day, you’ll architect and ship AI-powered systems that make it possible for people to talk to Rilla like they would a human. You’ll help build agents that operate natively on real-world audio, extract insights from conversations no one else can even access, and push the boundaries of what’s possible in AI. We’re building: * A voice-first interface that lets users command Rilla directly through natural speech * A search engine that uncovers business-critical insights from voice data that’s never been searchable * A first-of-its-kind audio intelligence pipeline—designed for the messy, noisy, wildly unstructured conversations that happen in the real world, not in an online meeting As an early AI engineer, you’ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. You’ll work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces. If you’re obsessive about your craft, think like a founder, and want to be on the frontier of voice and offline AI, this is your team. The scale of the problems we’re solving is unmatched—and the surface area for ownership is only getting bigger. * We work primarily in Python and TypeScript, with FastAPI for API development * AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM * Cloud infrastructure with AWS and LiveKit for real-time communications * PostgreSQL, Redis, and S3 for data storage * An infinite learner. Someone who is relentless in their curiosity. * A customer obsessive. Someone who deeply care about delighting customers and solving real pains, not vanity metrics. * A winning attitude. You thrive with extreme accountability, learning as a team, and both giving and receiving rapid feedback. * Extreme empathy. Our customers are not tech companies. They live and work in the real world. Empathy is critical to arriving at correct solutions. * Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more. * Experience building and deploying AI/LLM systems in production * Familiarity with tools that power today's AI: eval frameworks, agent tooling, and prompt engineering * Comfort working directly with customers to understand their needs and solve real-world problems Please don't join if you're not excited about: * Building an AI product for an industry untouched by modern software * Constantly talking to and visiting customers in the field * Working ~70 hrs/week in person with some of the most ambitious people in NYC * Attempting to build a generational company, and the intensity required to do so The estimated salary range for this position is $200,000 - $300,000/year. Successful candidates with competing offers will receive matching and competitive offers. Total compensation for this position may also include Incentive Stock Options, sign-on bonus, and other potential future incentives. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to empower Rilla employees in removing roadblocks to achieving their life’s work. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Rilla. * Medical, dental, and vision insurance * Breakfast, lunch, dinner, and supplementary food and drink — 6x a week * Gym membership * Commuter benefits * Relocation assistance * Take what you need paid time off, not accrual based * $1,000 stipend for learning and personal growth * $1,500 a month rent stipend * Tech equipment

Our client, a nonprofit advisory organization, is seeking a hands-on Infrastructure Engineer to support and modernize their IT infrastructure.This role is ideal for a technically skilled professional with strong Azure cloud and network administration experience, as the organization transitions to a

Company And Culture Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories, including streetwear and style, music, sneakers, and sports. Complex is a juggernaut in the content and culture space, delivering unprecedented global reach. Complex is the world’s definitive cultural commerce, content, and experiential platform. We have created an all-new operating system built for the next generation, seamlessly integrating discovery, inspiration, community, and shopping. The company represents an expansion of the original vision with a deep understanding of convergence culture and its impact on contemporary society. Whether through video, long-form editorial, or social content, Complex tells stories that engage dynamic conversation with our communities. Our internet-breaking cover stories document the heroes of culture and take them to the next level through product collaboration and ___hoppability. Complex has become experts in creating immersive environments at our IRL experiences and cultural events. ComplexCon is our flagship festival bringing together the world’s most influential brands and artists for an unforgettable weekend of style, sneakers, art, design, food, music, inspiration and more. Join us to help redefine the way people shop, while building a global marketplace that moves at the speed of culture. Complex is committed to building a high performing team that is passionate about what they do and the communities we serve. Everyone at Complex truly believes in the company and its mission; it’s a requirement for working here. There is synergy within the teams that make Complex what it is, a well-oiled machine. Employees are at the forefront of the company's success because every one of us is given the opportunity to provide suggestions, feedback, and direction. About the Role We're seeking a Senior DevOps Engineer to join our team who will be responsible for service delivery, reliability, and scalability. This is a hands-on technical role focused on infrastructure-as-code implementation, automation, and ensuring system reliability. You'll work in a fast-paced environment, participating in on-call rotations while having the opportunity to mentor junior engineers and shape our technical infrastructure. \n What You Will Do • Design and maintain cloud infrastructure using Terraform, AWS Cloud, • Formation, and Helm Charts while implementing security best practices including SAST and DAST, • Develop and optimize CI/CD pipelines to enhance application security and streamline release processes, • Build and maintain comprehensive monitoring and observability systems using tools like Grafana and DataDog to ensure high system availability, • Lead infrastructure automation and configuration management initiatives while collaborating with Product Management on technical requirements and scalability, • Architect and maintain production environments, focusing on microservices architecture and container orchestration, • Provide technical mentorship and guidance to junior team members while participating in cross-functional initiatives, • Participate in on-call rotations to maintain system reliability, • Work on system architecture, design, and infrastructure automation through IaC Who You Are (Required): • A seasoned professional with 5+ years of experience in SRE, DevOps, or equivalent engineering roles, • An expert in cloud platforms (AWS, GCP, Azure) with deep knowledge of Infrastructure-as-Code tools (Terraform, Helm, AWS CloudFormation), • Strong experience with Kubernetes and container orchestration, • Deep knowledge of microservices architecture and Linux systems, • A skilled programmer comfortable with Python, Go, or Bash, particularly in implementing automation and tooling, • A strong communicator who can work effectively in ambiguous environments and collaborate across teams, • Someone who maintains a strong focus on security and stability Who You Are (Preferred): • Experience building complex systems supporting 100,000+ users, • Prior experience with e-commerce systems and Shopify, • Background in team leadership or mentorship, • Experience with all stages of SDLC, • Experience working in fast-paced startup environments What We Offer • Best in class health, dental, and vision insurance, • Healthcare FSA, • Dependent Care FSA, • Commuter Benefits FSA, • Short-term/long-term disability and life insurance, • Paid Parental leave, • 401k with 4% match, • Pet Insurance, • Legal and Identity Theft Plans, • Vacation time and sick days \n$140,000 - $160,000 a yearThe Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.\n We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO • Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows, • Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues, • Support automated reporting solutions using Python, • Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes, • Ensure data warehouse scalability, performance optimization, and cost efficiency, • Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE • 2-5 years of experience in data engineering or related roles, • Highly proficient with Python, SqlAlchemy, Alembic, Pytest,, • Experience with SQL and relational databases such as Postgres, • Experience with database design and optimization, • Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.), • Experience with deploying data pipelines in Python, • Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE • Experience with containerized architecture (Docker, Kubernetes, Argo Workflows), • Experience with DevOps practices and CI/CD (GitHub Actions), • Experience with data warehouses (Snowflake), • Experience with cloud infrastructure (AWS), • Experience with data visualization tools (Marketing Cloud Intelligence), • Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

About the role We're looking for Site Reliability Engineers to work on security across the entire Radar infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. This role will help us continually improve our security and compliance posture. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week. The stack: The frontend is React, the backend is TypeScript and Rust. Everything is deployed to AWS via EKS. We use SecurityHub for continual cloud monitoring against benchmarks. We use Inspector and Qualys for endpoint and server vulnerability tracking. We use GuardDuty for IDS. We use Snyk and Github Advanced Security for code scanning and 3rd party lib vulnerability patching. JAMF Protect and GuardDuty are used for anti-malware. We use AlienVault for SIEM. We use Hackerone for Pen Tests and Vulnerability Disclosure. We use CIS for benchmarks. We use Vanta for GRC. We sponsor OpenStreetMaps, MapLibre, and OpenAddresses. The hiring process: After a brief call with our CTO, we'll invite you to our NYC HQ for an interview if we think there is a possible match. During that time we'll work on system design problems together and do some coding for 2 hours to build something simple. You might meet one of our co-founders and we'll also go into more depth about how we work to see if there is a match. What you’ll do: * Work on core Radar security infrastructure across the frontend, backend, mobile and cloud. * Ensure Radar is generally following AWS best practices for security. * Work on core our secrets management. * Work on core S3 security * Migrate our infra to OIDC keys wherever possible * Keep packages up to date in Docker containers and instances based on known CVEs and our SLAs. * Ship dependabot and Snyk auto-upgraded libraries. * Investigate findings generated by our SIEM and GuardDuty. * Triage and fix findings generated by Hackeone Pen Tests and Vulnerability Management Program. * Monitor Security Hub cloud scanning and remediate findings. * Keep server configuration up to date by leveraging CIS benchmarks. * Rotate AWS keys. * Review and remediate security groups and firewalls. * Participate in Incident Response plans and tests. * Participate in Risk Assessments and remediations. * Participate in our SOC 2 program. * Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: * Have experience working across several different security domains in large scale production applications. * Are interested in talking to customers or prospects and making them successful. Bonus points if you: * Are a former technical co-founder You’ll work with: * ___, CTO * ___, Senior Staff SRE * Our customers and prospects * Our Customer Success, Sales Engineering, and Sales teams Benefits & Perks: * Competitive compensation package, stock option grants, and a 401(k) plan with 4% employer match * Medical, dental, and vision plans with 100% premiums covered, 12 weeks of paid parental leave, flexible spending accounts (FSAs), and more * Unlimited PTO * Fully stocked kitchen and weekly catered breakfast/lunch at our NYC office * CitiBike and Wellhub (Gympass) memberships * Monthly happy hours and team events Benefits offering details will be provided if a candidate receives an offer. Benefits may also vary by location. About Us ___ is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide. Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners. Compensation: For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $200,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company. Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

A deep understanding of the interdependent relationship between UCC technologies, including network and voice infrastructure, information security and the applications/services they enable as well as the criticality of maintaining strong connections between the respective teams within IT. Collaborat

Job Description This position is 50% work from home and 50% work in the field. As a Field Engineering Technician you will be responsible for: Providing clients with advanced on-site troubleshooting and on-site installation & removal of equipment Using our ticketing system to work on and resolve helpdesk Tickets & service requests. Communicate to the client the status of their ticket every step of the way, notify them of any changes or issues. Delight clients with a friendly, quick and helpful experience. Make sure that client documentation is well maintained. Identify, communicate and mitigate potential risks. Submit Timesheets Company DescriptionPachyderm Consulting has been managing IT networks and infrastructure since 1997. And, as the challenges of computing, office technology, and IT security continue to grow, so does our passion for providing IT solutions and services. Our client-driven mission is to make sure your technology does what your business needs it to do. We enable you to maximize the benefits of Information Technology by delivering cost-effective, customized solutions with as much, or as little, human support as you need. We Tame Technology. So you don’t have to.Pachyderm Consulting has been managing IT networks and infrastructure since 1997. And, as the challenges of computing, office technology, and IT security continue to grow, so does our passion for providing IT solutions and services.\r\n\r\nOur client-driven mission is to make sure your technology does what your business needs it to do. We enable you to maximize the benefits of Information Technology by delivering cost-effective, customized solutions with as much, or as little, human support as you need. \r\n\r\nWe Tame Technology. So you don’t have to.

Who we are Rilla’s the leading conversation intelligence software for outside sales. Think solar, roofing, and real estate sales reps. They talk to customers face to face, our mobile app records their conversations, and our AI automatically transcribes and analyzes their conversations to help them improve their sales. Our vision is to bring the power of conversation intelligence from the Zoom meeting and the call center to the more than 10M sales people who work offline. We’re growing 20% MoM, have dozens of customers including Fortune 500 companies, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and we are profitable! We’re backed by Byron Deeter (one of the best investors in history) from Bessemer Venture Partners, the top Cloud investor in the world. And we’re a ___ company. Who You Are * 🧠 An infinite learner. Someone who is always curious. You quickly learn new technologies and execute independently. You are a generalist who will deep dive into a challenge. * 🔍 A customer obsessive. Someone who deeply cares about delighting customers and solving their pains, not about vanity metrics. * 🏅 A quality obsessive. Someone who deeply cares about our users and the quality of their work. Our customers are not tech companies. They’re people who live and work in the real world. To solve problems for them you need to have extreme empathy. You have to understand how they work, what they need, and want, and how to make their lives better. * 🤝 A team player. You love giving and receiving feedback, and learning and growing as a team. * 📈 Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more. The Role You will be a part of the founding team in one of the fastest growing startups in the world. As we scale, we need an engineer who can build high-quality products quickly. You will collaborate with everyone at Rillavoice, even our customers, to deliver a world-class solution. Rillavoice is built using Typescript with Node.js on the backend, and React/React Native on the frontend. Our integrations and AI workloads are built on Python. We use PostgreSQL as our database. We will look to your experience to impact our codebase and help our engineering team expand its skillset. What you’ll do * Build high-quality products very fast. * Contribute to building new features from scratch as we push forward our technical roadmap. * Have empathy for our users and build solutions for them. And you’ll be able to do this without any explicit planning or expectations. * Push for a high bar for the quality of our codebase and our technical decisions. You’ll help in setting the standard for the future as we scale the engineering organization here at Rillavoice. * Scale yourself. Being an early-stage company, you will need to grow individually as the company scales. * Help recruit future engineers to expand the team. What you bring * 2+ years experience in building software, ideally some of it in startups. * Ability to move fast and iterate quickly without sacrificing quality. * A customer-first mindset and an interest in talking with customers to make sure what we’re building meets their needs. * Bonus if you have experience in React, React Native, Typescript and Python * Bonus if you have experience in deploying infrastructure in AWS Compensation Our compensation philosophy is that we always pay top of market. Right now, the cash compensation that sits at the top is within $165,000 - $190,000. This can change and become higher if we see the top of the market shifts up. Final offer is determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. We also give equity on top of the cash compensation for the total compensation for this role.

Ambrook’s mission is to help family-run American businesses become more profitable and resilient. From record-breaking droughts to rising input costs and unpredictable markets, operators across American agriculture and industry are navigating increasing pressure — much of it driven by a changing climate and economy. Many of the best long-term investments — like water-efficient irrigation or improved grazing rotations — support both the land and the bottom line. But even when the payoff is clear, these changes often require upfront capital and financial clarity that’s hard to come by. With fragmented records and outdated tools, business owners can’t easily see what’s working — let alone prove viability to a lender, partner, or the next generation. Ambrook is rebuilding the financial infrastructure that independent operators rely on. We replace paperwork and legacy systems with modern tools for accounting, banking, invoicing and spending — built for people who spend more time in the field than in the office. Our platform gives producers the financial clarity they need to make confident investments in their land, their operation, and their future. Our customers are the backbone of the real economy — stewards of land, labor, and legacy. When they can invest in ways that make their businesses stronger and more durable, they become a force for generational resilience across America. We’re starting with farmers and ranchers across the country — helping them keep the family business in the family and make decisions that stand the test of time. We’re a Series A startup backed by top investors (Thrive Capital, Dylan Field, Homebrew, Designer Fund, BoxGroup, and more) and are looking for early team members who are looking to untangle the knotted intersection between American industry, climate, and the economy. ___ about our mission and what it’s like to work with us. The opportunity Ambrook is building a world-class team. As one of our first engineers focused on our fintech suite, you’ll help drive our technical decisions and influence our product direction for years to come, with the goal of making agriculture more sustainable and profitable. We’re looking for someone who we can count on to… * Own: Delivery of elegant, performant product experiences, especially within our fintech products (invoicing, bill pay, cards, wallet and our payment network). * Teach: Best practices in financial applications and cross functional collaboration. * Learn: The intricacies of agrifinance, including agricultural lending, bookkeeping, embedded payments and more. * Improve: Our full-stack architecture and API, engineering tooling, and development velocity. Within 1 month you'll... * Learn how to use Ambrook’s tech stack to deliver a standalone fintech feature to our customers. * Analyze Ambrook’s use of best practices and share a technical note with our team about where we have opportunities to improve. * Familiarize yourself with Ambrook’s product and our research notes and recording repository from user onboarding calls and customer discovery interviews. * Contribute to Engineering team meetings and review code from peers. * Participate in meetings with producers, learning about on-the-ground financial workflows in small businesses. Within 3 months you'll... * Collaborate with our Product team to influence prioritization of feature ideas and requests with insights from our audience to improve the reach of our fintech products. * Perform end-to-end data analysis, including pipeline development, transformation, and dashboarding. * Champion strong user data hygiene, operational security, and privacy practices. Within 6 months you'll... * Collaborate to design and execute improvements to our engineering stack, building new processes and onboarding our team to them. * Champion a culture of engineering excellence, connecting its value to the needs of our community and the broader team. * Get involved in hiring and growing the team by evaluating / interviewing candidates. * Write about your experience and how you improved Ambrook’s engineering culture and processes in a post on ___. About you * Experience shipping a fintech product. * Excited about applying your fintech experience to help real-world operators - not just digital native customers - thrive. * Comfortable taking on ambiguous problems and creating elegant technical solutions * Bonus: Experience working with or building: * Applications that integrate with services like Plaid or Stripe. * Financial rails such as credit cards, ACH and wire transfers. * Bonus: Experience with Typescript, React, React Native, and/or ___. Our Tech Stack * Next.js / React application written in Typescript * Hosted on GCP * Firestore & Google Cloud Storage for data storage * BigQuery & Hex for data insights Values * Real Talk – We create space for ourselves and others to be straightforward, vulnerable, and accountable. * Reach Understanding – We are driven by curiosity and empathy to learn about our customers, team, and world. * Be Proactively Resourceful – We are internally motivated and externally empowered to identify opportunities and solve problems. * Derisk Thoughtfully – We lean into the biggest risks we face as a company and put in the work to address them systematically. * Find the Positive-Sum – We believe in creating incentive structures that align the needs of our company, our customers, and our planet. * Ambrook is an equal opportunity employer. We are committed to building diversity and inclusion into our core company culture. Benefits * Competitive compensation * Health insurance * 401(k) with matching contribution * Paid parental leave * Flexible work hours and vacation time * Work-from-home/remote office stipend * Wellness stipend * Professional development stipend