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Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • 5+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in Python, familiarity with SQL, • Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with distributed event-driven architectures. NATS experience is a plus., • Familiarity with healthcare or insurance

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Therapist Success team builds the platform that powers the care itself, helping therapists deliver consistent, high-quality treatment every day. You'll create tools that give our therapists the right information at the right time. From organizing a client's full care history to surfacing dynamic summaries and playbooks for each session, your work will help clinicians prepare, document, and make better decisions in real time. The systems you build will bring structure to complex clinical data, strengthen quality across our network, and ultimately make our care more effective. If you care about building tools that empower therapists to focus on care, not clicks, this is the team for you. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL., • Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions., • Be an owner. Collaborate with product and design to iterate to top notch product solutions., • Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work., • Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods., • Ensure our clients can always access the care they need by participating in our on-call rotationRequirements, • Professional experience developing user facing web or mobile applications that deliver meaningful business value., • Hands on production experience with an application programming language, preferably Python., • Ability to break down ambiguous problems into smaller parts with tractable solutions., • Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth., • 4+ years experience as an engineer Additional Information The total target cash compensation for this role will be between $170,000–$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Principal Data Engineer - AND Digital (US) Location: East Coast (NY/NJ, Atlanta, Charlotte, or South Florida) Who We Are: AND Digital is a tech company dedicated to accelerating digital delivery and closing the digital skills gap. Since 2014, we have supported organisations in building better digital products and stronger digital teams. We believe our work should always create a remarkable impact for our clients. Through our regional offices, known as ‘Clubs,’ we build strong relationships with our partners, ensuring they are prioritised by teams located nearby. This unique model has driven success for both our clients and ourselves, reflected in our remarkable organic growth since 2014. Today, we are over 1,300 people strong, with Clubs across the UK, Europe, and the USA—and plans for global expansion in the coming years. Join us and help fulfil our mission to close the world’s digital skills gap. Principal Data Engineer AND Digital is seeking a Principal Data Engineer to lead data strategy, platform architecture, and client delivery across its fast-scaling US business. This is a senior, client-facing role that blends hands-on technical depth in Snowflake with consulting delivery, helping organisations modernise their data ecosystems to power AI, analytics, and digital transformation. You’ll work closely with the Solutions Director of Data & AI to ensure data architectures are designed with AI-readiness in mind - enabling clients to unlock value from their data through scalable, cloud-based platforms. Clients typically span Financial Services, Travel, and Technology, with projects centred on data modernisation, automation, and actionable intelligence. Key Responsibilities Snowflake Strategy & Architecture • Define and own the Snowflake architecture strategy for US clients - from ingestion to transformation and modelling., • Lead end-to-end design and implementation of Snowflake-based data platforms, ensuring scalability, performance, and security., • Establish best practices for schema design, query optimisation, and performance tuning within Snowflake., • Guide clients on Snowflake feature adoption (e.g. Snowpark, Streams, Tasks, Data Sharing, and Governance)., • Ensure platforms are optimised for integration with downstream AI, analytics, and digital products. Data Engineering & Delivery Leadership • Lead client-facing data engineering and strategy engagements, ensuring technical excellence and commercial success., • Oversee development of data pipelines and transformations feeding Snowflake environments., • Promote consistency in design patterns, CI/CD, and version control across teams and projects., • Drive operational excellence through measurable engineering standards and quality frameworks. Client Engagement & Consulting • Work directly with senior client stakeholders to define data modernisation roadmaps and business outcomes., • Collaborate closely with AI, Product, and Cloud leads to align Snowflake data foundations with broader solution delivery., • Represent the data practice in proposals, workshops, and technical discovery sessions. Leadership, Capability & Growth • Mentor and develop data engineers and architects across US and nearshore teams., • Contribute to building AND Digital’s Snowflake delivery capability - frameworks, accelerators, and training., • Support business development and pre-sales conversations with Snowflake-aligned solution expertise (partner-sales alliances approaches put into practice) Key Evaluation Criteria • Proven experience designing and delivering Snowflake data platforms at scale., • Deep technical fluency in Snowflake architecture, data modelling, and SQL optimisation., • Strong understanding of data engineering best practices - ingestion, orchestration, transformation, and governance., • Demonstrated success in consulting or delivery-led environments, balancing technical rigour with client outcomes., • Experience leading cross-functional teams (data, AI, analytics) across multiple geographies., • Excellent communicator — credible with both technical and business stakeholders., • Minimum 2+ years in a leadership capacity within data or platform engineering. Experience & Skills • 8-12 years in data engineering or architecture, with at least 3 years focused on Snowflake., • Technical agnostic expertise, such as SQL, Python, and data orchestration tools (Airflow, dbt, or similar)., • Understanding of how Snowflake underpins AI and analytics initiatives., • Experience managing distributed or nearshore data delivery teams., • Excellent problem-solving and client-facing skills., • Must reside on the East Coast (NY/NJ, Atlanta, or South Florida). Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we’ll provide: • Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people’s lives., • A “Blended Working” model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery., • A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self., • An annual budget for training and upskilling, including allocated days off so you don’t have to study in your own free time., • Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members., • A safe environment for you to be yourself and challenge yourself. Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.

Job DescriptionSalary: Position: Data Scientist / AI engineer Location: New York, NY(Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration: 6 months-1year The Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. Responsibilities: • Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives., • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance., • Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses., • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality., • Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape. Key Skills: DomainExpertise: • MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline, • Heavy experience with Azure Data Factory is a must., • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus, • Strong applied understanding of MLOps / LLMOps best practice, • Experience to merge and transform disparate internal & external data sets together to create inputs for AI Agile +Digital Experience: • Openness to working in Agile environments with multiple stakeholders, • Professional attitude and service orientation; team player, • Quick learner to business needs and translate them into potential analytics solutions, • Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases, • Exemplary organizational skills with attention to detail & accuracy, • Ability to coach, mentor, and collaborate with business partners, analysts, and team members, • Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility.

Job DescriptionRo is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients, including one in every county in the United States, and in 98% of primary care deserts. Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years (2021-2024). In 2023, Ro was also named Best Workplace for Parents for the third year in a row. In 2022, Ro was listed as a CNBC Disruptor 50. Come be a core member of Ro’s Information Technology Engineering team. This is a non-managerial, hands-on individual contributor role working with market-leading vendors to build, operate and maintain Ro’s internal systems. You will be responsible for providing a frictionless and efficient user experience for our team members, as we collectively work to bring an amazing healthcare experience to our patients. As a Senior IT Engineer, you’ll build and operate a variety of systems ranging from end-user endpoint configuration, cloud infrastructure provisioning, SaaS application security and more - all while utilizing automation toolsets to scale operations and improve reliability. This role reports directly to the IT Engineering Manager and will work closely with other internal technology teams.What You’ll Do: • Collaborate with IT, Security and Risk Management teams to ensure maximum protection of Ro’s assets, • Contribute to the development and deployment of Ro’s zero trust plan across device and user identity, • Manage and tune devices to ensure optimum performance and a wonderful user experience, • Configure SaaS applications with secure defaults, • Utilize infrastructure-as-code to standardize configuration management, • Develop and implement automations that simplify and scale system management, • Create and maintain project implementation plans and schedule, • Provide support to issues escalated to the engineering team, • Participate in on-call rotation every ~2 monthsWhat You’ll Bring:, • 5 - 7 years as a Sr IT Engineer with proven experience managing projects and implementing new technologies, • Broad understanding of endpoint management capabilities (MDM, BYOD, MAM) across platforms, • Familiarity with provisioning workloads on a major cloud provider (AWS, Azure, GCP), • Experience managing a cloud-based IT environment including Okta, Google Workspace and Slack, • Proficiency in interacting with APIs via bash, python, or no/low-code tool like Okta Workflows, • A keen eye to spot the missing { in a JSON object, • Ability to move quickly and learn new technologies, • Excellent troubleshooting skills, • Passion for building and maintaining a superior IT hygiene posture and user experience, • Awesome team playerWe’ve Got You Covered:, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth stipends, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We aim to democratize insights and foster a culture where data-driven decision-making thrives at every level of the organization. About the Role: We're seeking a skilled Data Engineer to develop foundational data models that empower our Business Intelligence engineers, analysts, and data scientists to efficiently work with and gain insights from our data. You'll create and maintain star and snowflake schemas within our lakehouse environment, generate key datasets and metrics essential to tracking business health, and optimize the flow and storage of data to support analytical workloads across the organization. Who You Are: * Hands-on experience applying Kimball modeling principles to large datasets * Expertise with analytical table/file formats such as Iceberg, Hudi, Parquet, Avro, and ORC * Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift) * 3–5+ years of programming experience in Python, Java, or Scala in a professional setting * Advanced SQL skills, with the ability to write, optimize, and debug complex queries * Hands-on experience with Airflow for batch orchestration and distributed computing frameworks like Spark or Flink * Experience managing systems deployed on Kubernetes is highly desirable, but not required Preferred: * Experience designing and optimizing large-scale data pipelines * Strong understanding of data lakehouse architectures and analytics workflows Wondering if you're a good fit? We believe in investing in our people and value candidates who bring their own diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team: * You love designing and optimizing data models for analytics * You're curious about building efficient, scalable data pipelines * You're an expert in turning complex data into actionable business insights Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you won't want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: * Be Curious at Your Core * Act Like an Owner * Empower Employees * Deliver Best-in-Class Client Experiences * Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionA 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 As a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organization. You and the team will work with leadership, cross functionally with product engineers and leaders across the business to address, measure, and evaluate Palantir’s internal strategic and tactical performance. You will analyze cloud utilization, user metrics, stability KPIs, cost optimizations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distill trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantir’s core business and development functions. You will use Palantir’s platforms just as Palantir’s customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes. Teams throughout Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. You are a problem solver who loves gathering information from various sources, analyzing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a good communicator who thrives in cross-timezone collaborations and individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture. This position will offer an exciting work environment, multi-functional exposure, and a chance to create an impact on Palantir’s product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.Core Responsibilities • Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform, • Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities, • Monitor pipelines for stability, suggest and enact efficiency initiatives measures, • Own projects end-to-end while communicating with stakeholders about milestones and performance, • Create engineering awareness and drive behavior change in the product organization in line with the team’s mission and goals, • Use Palantir’s platform to create data analysis and supporting visualizations, • Use Palantir’s platform to create custom applications and executive dashboards, • Articulate feedback from real-world use for Palantir’s software engineering teams to help improve Palantir’s overall offerings, • Become an expert on foundational data that underpins Palantir’s software development and internal operations, • Respond to strategic, tactical, and analytical questions from within Palantir about data and operationsWhat We Value, • Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work, • Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams, • Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved, • Keen interest in learning new tools and approaches to problems, • Love for bringing order to ambiguity, • Experience with Spark is desirableWhat We Require, • Active US Security clearance or eligibility and willingness to obtain a US Security clearance, • Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields, • 1+ years of experience in a data analytical role, • Expertise and experience in Python and manipulation of data to answer questions

Job Description Revivn is a profitable and rapidly growing company that helps enterprises manage their technology through our end of life software platform. We take electronic recycling one step further by repurposing hardware that still has remaining life and providing it to people who lack dedicated computer access and make it more affordable for people who may not be able to purchase new technology. Working with companies like Instacart, Lyft, Qualtrics, X, Gensler, and Allbirds we are changing the way companies view used technology with a new model that focuses on repurposing instead of recycling. We're hiring our first Go-to-Market Engineer: a creative builder who sits between RevOps and full-stack engineering. Maybe you're a computer science grad or early-career engineer who loves experimenting with tools and automation but doesn't want to get lost in a giant company. You want to see the impact of what you build every day — on real leads, data, and revenue. This is a hybrid technical + commercial role — ideal for someone who loves hacking together systems, writing quick scripts, and making data come alive. You'll report into Marketing and collaborate closely with RevOps, Data, and Sales to automate workflows, enrich data, and make our GTM machine smarter, faster, and more creative. Please note this role is based on-site at our Brooklyn Navy Yard office with Remote Wednesdays. What You'll Do • Build, scrape, and automate: Own the GTM automation and enrichment stack — from web scraping (Apify) to AI-driven enrichment (Hugging Face)., • Connect and create: Use APIs and lightweight code (Python, JavaScript) to glue together tools and make our data flow effortlessly., • Experiment fast: Prototype workflows, test ideas, and turn what works into repeatable playbooks., • Work across teams: Collaborate with Marketing, RevOps, and Sales to translate messy problems into automated systems., • Push boundaries: Play with libraries like Crawlee, Cheerio, BeautifulSoup, Transformers, and Datasets to make research and enrichment faster., • Stay curious: Constantly explore new AI, no-code, and automation tools — from Make and Zapier to emerging scrapers and APIs., • Make GTM scale creatively: Build automations that still feel human — thoughtful, personal, and scalable.Who You Are, • Creative problem-solver — you love finding clever shortcuts and unconventional ways to get things done., • Early-career engineer, ideally with a CS or data-focused background, and eager to grow., • In-between RevOps and full-stack: technical enough to code, curious enough to understand business context., • Excited about tools: you tinker with APIs, scrape sites for fun, or wire up automations just to see what's possible., • Comfortable with ambiguity: you can turn loose ideas into structured systems., • Fast learner and builder: you ship things quickly, break them, fix them, and learn., • Motivated by impact: you want to see your work directly influence growth, pipeline, and revenue.Tech Stack, • Languages: Python, JavaScript, • Web scraping: Apify, Crawlee, Cheerio, BeautifulSoup, • AI enrichment: Hugging Face, Transformers, Datasets, • Automation: Zapier, Make, Clay, • CRM and GTM stack: Salesforce, plus whatever creative tools you bring to the tablePerks, • Competitive salary, • Direct impact: your work fuels meetings, pipeline, and revenue, • Ownership: this is a role built from the ground up – you'll shape how GTM at Revivn evolves, • Growth environment: scrappy, fast-paced, feedback driven We embrace diversity and are committed to fostering an inclusive environment. At Revivn, we encourage people from all ages, abilities, and experiences to apply. Revivn does not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. At Revivn, we prioritize transparency about our salary throughout the entire recruitment process. Be prepared to chat about compensation on your initial screen so that we can ensure alignment. If salary expectations and ranges are out of sync, we believe it is kind to respect everyone's time and may discontinue conversations. But, here at Revivn, we ALSO believe in investing in the lifetime value of each individual we meet and interact with. (We love knowing good humans and supporting them in whatever they do). We know that if it isn't a good fit at the moment, it doesn't necessarily mean that it won't be a good fit in the future as we both continue to grow! We work to remain in contact with prospective candidates if the recruitment process ends early on. For all job openings, we consider candidates with various backgrounds and levels of experience. When we give an offer it is based on individual skills and experience, as well as how that stacks up against other employees in the role. The salary range for a Go-to-Market Engineer is expected to be between $90,000-120,000/year. Your exact offer may vary based on these factors, including market location, job-related knowledge, and experience. The compensation package will also include comprehensive benefits such as medical, dental, and vision coverage, along with a 401(k) plan.

Job DescriptionQA Software Engineer Job Title: QA Engineer (Mid or Senior level) Location: REMOTE Salary: $100k-150k/year DOE + BONUS + FULL BENEFITS Requirements: 2+ years E2E & API Test Automation, Playwright, Coding in Python At this company, complexity isn't a barrier - it's the challenge we thrive on. We've built a platform that helps some of the world's most recognized operators make smarter decisions, faster. It's not consumer-facing, but it's mission-critical. The kind of product that quietly powers industries you rely on every day, yet few people ever see. We're a lean, product-driven team that obsesses over usability, performance, and trust. Our users don't just use our software - they depend on it to run high-stakes operations with confidence. Every feature you ship, every bug you squash, every test you automate directly improves how real businesses operate at scale. If you're excited by the idea of solving real problems for real users - and seeing your work ship regularly - this is the kind of place where your impact won't just be visible. It'll be essential. We're currently looking for a QA Software Engineer to help elevate the quality, reliability, and performance of our platform. What You'll Do • Build and maintain API and E2E test automation using tools like Playwright or Cypress, • Develop infrastructure for performance, security, and accessibility testing, • Manually test features and coordinate bug bashes to cover automation gaps, • Collaborate on feature design, propose acceptance criteria, and validate new functionality, • Investigate customer-reported issues and contribute to long-term product stability, • Analyze telemetry and APM metrics to improve user experience and system performance What You Bring • 2+ years of experience in end-to-end & API test automation using Playwright, • Hands-on coding in Python (not just scripting!), • Experience building QA infrastructure: test environments, performance/security tooling, telemetry/reporting, • Passion for breaking things and testing complex web applications, • Willingness to perform manual testing when needed Bonus Skills: • Javascript, C#, • WebGL, • Experience testing complex web applications, • Experience with performance, security, or accessibility testing, • Experience developing QA-related telemetry and reporting tools Benefits • Competitive Compensation ($100k-150k + BONUS), • Remote and Flexible Work Environment: Work from anywhere with flexible hours. The team values outcomes over online presence., • Company-paid medical, dental, and vision insurance, • 20 paid vacation days, 5 sick days, and 11 company holidays each year, • 401(k) plan with match, • Profit-sharing program, • Health Savings Account (HSA) with company contributions, • Monthly internet and mobile phone reimbursement, • Weekly DoorDash stipend and DashPass membership, • Travel discounts, • Wellness program focused on physical and mental health, • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 10/23/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionWealth.com is the industry’s leading estate planning platform, empowering financial advisors to offer modern, comprehensive estate planning solutions to their clients. By combining cutting-edge technology, AI, and unmatched human expertise, we deliver a seamless experience that sets us apart. Beyond having one of the most coveted domain names in FinTech, wealth.com is a dynamic, revenue-generating startup experiencing rapid yet sustainable growth. A key reason behind our position as the #1 estate planning platform is our team. Our people thrive in a collaborative, supportive culture that fosters innovation and makes wealth.com a place where everyone truly enjoys working. Wealth.com is certified as a Great Place to Work for 2024 and named a 2024 finalist for Fast Company’s Best Workplaces for Innovators! As a Senior QA Automation Engineer, you'll design and lead our test automation strategy to ensure the quality and reliability of our cloud-native SaaS platform. You will develop comprehensive test frameworks to validate our serverless and containerized services built on modern cloud platforms like AWS, GCP, and Vercel. You will be instrumental in implementing advanced, AI-driven testing practices to ensure we can deliver top-quality software quickly and reliably in our multi-cloud environment.Key Responsibilities: • Architect and Maintain Frameworks: Architect and maintain robust, scalable test automation frameworks for our platform, covering UI (Cypress, Playwright), API (Postman, REST Assured), and performance testing., • Test Cloud-Native Services: Develop and execute comprehensive automated test suites for our serverless applications (AWS Lambda, AppSync) and containerized services (GKE, Cloud Run)., • Drive Modernized Testing Strategies: Champion and implement advanced testing methodologies including contract testing for microservices, visual regression testing for UIs, component testing, and chaos engineering principles to ensure system robustness., • Innovate with AI in Testing: Research, pilot, and implement AI-powered tools and techniques to enhance testing efficiency and effectiveness. This includes exploring solutions for auto-generated tests, intelligent test case selection, and anomaly detection in test results., • Integrate Testing in CI/CD: Design and implement automated testing strategies within CI/CD pipelines (GitHub Actions, AWS CodePipeline) to ensure efficient and reliable quality gates., • Improve Code Coverage: Collaborate with development teams to analyze and increase test coverage, utilizing tools and reports to identify gaps and ensure critical application paths are validated., • Analyze and Report: Implement and manage test reporting solutions, leveraging logs (CloudWatch, Logz.io) and monitoring data (Datadog) to ensure clear visibility into product quality and rapid issue resolution., • Collaborate and "Shift-Left": Work closely with developers and QA to integrate "shift-left" testing practices, promoting a culture of quality ownership throughout the development lifecycle., • Validate Resiliency and Compliance: Validate application behavior across multi-region configurations to ensure high availability and fault tolerance while meeting compliance requirements (e.g., SOC 2, PCI DSS).Required Skills and Qualifications, • 5+ years in QA Automation or SDET roles, ideally in a SaaS or fintech environment., • Expertise in testing cloud-native applications and services, specifically with AWS Lambda, AppSync, and container orchestration platforms like GKE and Cloud, • Proficiency with modern test automation frameworks and tools (e.g., Cypress, Playwright, Postman, Selenium)., • Strong experience with integrating tests into CI/CD tools (GitHub Actions, AWS CodePipeline)., • Hands-on experience with modern testing approaches like contract testing and visual regression testing (e.g., Percy, Applitools)., • Hands-on experience testing APIs including a solid understanding of both REST and GraphQL, • Deep understanding of testing strategies for distributed, multi-region systems to validate scalability, resiliency, and performance., • Strong scripting/programming skills (TypeScript/JavaScript, Python) for developing automation frameworks and tools., • Strong QA foundation with a solid understanding of quality assurance methodologies, principles, and best practices., • Bachelor’s degree in Computer Science or equivalent experience.Preferred Qualifications, • SaaS experience with knowledge of regulatory standards (SOC 2, PCI DSS)., • Expertise in performance and load testing principles and tools (JMeter, k6)., • Experience with or strong interest in leveraging AI for software testing (e.g., AI-powered test generation, visual validation, or anomaly detection)., • Active GitHub profile or open-source contributions.Why You'll Love Working with Us:, • Competitive Salary., • Fully remote, flexible work environment. We do however meet together in person several times a year., • Full medical and dental benefits., • Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged., • Paid Parental Leave., • Company equity managed through Carta., • 401k with Match and 100% vesting upon hire.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role is Hybrid, with the expectation that employees will begin working 2 days per week in our dedicated office space in either San Francisco in September 2025 or New York City starting January 2026. About the Role We are seeking a Staff Data Engineer to architect and lead our entire data infrastructure strategy—a rare opportunity to be the most senior data technical leader shaping how data flows through our organization. In this role, you won't just build systems; you'll define the vision, set the technical direction, and establish the standards that will guide our data practice for years to come. Why This Role is Different As our most senior data engineer reporting directly to the Director of Data Engineering, you'll have unusual breadth and influence to: • Shape the Entire Data Stack: From ingestion to analytics, you'll touch every part of the data lifecycle and make foundational decisions that impact the entire business, • Be a Strategic Partner: Work directly with leadership and stakeholders across the organization to translate business strategy into data capabilities—your voice will carry weight in company-level decisions, • Build Your Legacy: Establish the patterns, practices, and culture that will define how we work with data. Your architectural choices and mentorship will shape the team's future, • Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases, • Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business, • Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools, • Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth, • Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent), • Champion data quality, documentation, and observability to ensure high trust in data across the organization, • Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplinesYour Areas Of Expertise:, • 7-10 years of experience in Data Engineering, • Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran, • Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift, • Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads, • Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala), • Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns, • Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components The base pay range for this position is $136,000 - $180,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Analytics Engineer II with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airbyte, DBT, Dagster, ElasticSearch (aka OpenSearch), Looker What you will bring to the team: • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in SQL, familiarity with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry. Compensation Transparency: The target salary range for this position is $125,000-$150,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description About the Role: The Data Manager / Business Data Lead plays a critical role in overseeing the organization's data strategy and ensuring the integrity, accuracy, and accessibility of business data across multiple departments. This position is responsible for leading data governance initiatives, managing data quality, and collaborating with cross-functional teams to align data management practices with business objectives. The role requires a strategic thinker who can translate complex data requirements into actionable plans and drive continuous improvement in data processes. The successful candidate will serve as a key liaison between technical teams and business stakeholders, ensuring that data solutions support decision-making and operational efficiency. Ultimately, this role aims to empower the organization with reliable data insights that foster informed business growth and innovation. Serve as the Fund’s day‑to‑day data workstream lead for the legacy‑to‑COPS 2.0 migration. Own data analysis, outside‑source cleansing, conversion oversight, stakeholder alignment, and delivery cadence with the System Integrator (SI), QA/OCM partner, and IV&V. Minimum Qualifications: • Current PMP certification., • 8+ years leading complex data migrations in regulated/public‑sector environments with Oracle (19c preferred)., • Demonstrated authorship of the named artifacts: Final Data Analysis Plan; Data Cleansing Approach/Directives; DCCAR; Data Conversion Plan; balancing & reconciliation strategies; automated comparison reports., • Hands‑on experience coordinating with SIs and working alongside QA/OCM and IV&V stakeholders., • Fluency with Jira or similar tools for decision/action/issue tracking; strong written status reporting skills., • Expert‑level PII handling discipline and readiness to operate under strict NDA/DSA requirements. Preferred Qualifications: • Bachelor’s degree in Data Science, Information Technology, Business Administration, or a related field., • Experience with business intelligence tools such as Tableau, Power BI, or similar platforms., • Familiarity with programming languages like SQL, Python, or R for data manipulation and analysis., • Experience working in the Professional, Scientific, and Technical Services industry or similar sectors., • Demonstrated leadership experience managing cross-functional teams and complex projects. • Author and maintain the Final Data Analysis Plan: reverse‑engineer business rules from legacy packages/procedures/functions; identify key data components, gaps, and quality issues; define validation techniques and tools., • Own cleansing for outside sources (e.g., NYC payroll management systems; internal Microsoft Access databases): develop the Data Cleansing Approach; publish Cleansing Directives; coordinate procedures, detailed scheduling, automation, and manual efforts as needed., • Produce the Data Cleansing/Conversion Audit Report (DCCAR) for each functional rollout, including problem statements, counts, default values and rationale, anomaly handling, fix types (manual/automated), before/after evidence, and benefits of fixes., • Oversee conversion approach and sign‑offs with the SI; author the comprehensive Data Conversion Plan (staging architecture; roles/responsibilities; balancing & reconciliation methods; test scripts; performance expectations; risk points; synchronization with PAS schedule; mini‑conversions/“bridging”; production run book)., • Establish and run the PM cadence: weekly status meetings; bi‑weekly written status with dashboard (schedule, quality, budget, risk), progress vs. plan, upcoming tasks, and mitigation actions; track decisions/action items in Jira., • Participate in PAS design sessions to inform/clarify data requirements and constraints; provide data leadership and change management support to business SMEs., • Enforce deliverable standards: cover with title/version/revision history; TOC (if >10 pages); headers/footers and page numbers; captions on tables/figures; draft→final flow; manage the 10‑business‑day review window and avoid “deliverable overload.”, • Coordinate with the Fund’s PMO, SI, QA/OCM, IV&V, and stakeholders; escalate risks through defined paths and drive issue resolution. Skills: The required and preferred skills are integral to the daily functions of the Data Manager / Business Data Lead. Strong data governance and quality management skills ensure that data is reliable and compliant with standards, which is essential for accurate business insights. Proficiency with database systems and ETL processes enables the candidate to manage and optimize data flows efficiently. Communication and stakeholder engagement skills are used daily to translate technical data concepts into business terms and to foster collaboration across departments. Additionally, familiarity with business intelligence tools and programming languages supports advanced data analysis and reporting, empowering the organization to make data-driven decisions.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Analytics Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesWhat you will bring to the team:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Argo, Dagster), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Expertise with SQL tuning, medallion/event-driven architectures, and telemetry., • Familiarity with healthcare or insuranceTechnologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airbyte, DBT, Dagster, ElasticSearch (aka OpenSearch), Looker Compensation Transparency: The target salary range for this position is $165,000 - $190,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Lead Data Engineer with SQL, Python and Capital banking Banking / Financial client New York City – Hybrid, in person interview is must 14+Years profiles will be considered, Recent 2 projects with Banking / Financial domain & should have knowledge or worked on Capital Market,Trade Processing, Settlement, Reconciliation, and related back/middle-office functions . Data Engineer, Python, SQL Server, Snowflake, Kafka, Spark Job Description: Responsibilities: Lead the development and optimization of batch and real-time data pipelines, ensuring scalability, reliability, and performance. Architect, design, and deploy data integration, streaming, and analytics solutions leveraging Spark, Kafka, and Snowflake. Ability to help voluntarily and proactively, and support Team Members, Peers to deliver their tasks to ensure End-to-end delivery. Evaluates technical performance challenges and recommend tuning solutions. Hands-on knowledge of Data Service Engineer to design, develop, and maintain our Reference Data System utilizing modern data technologies including Kafka, Snowflake, and Python. Required Skills: Proven experience in building and maintaining data pipelines, especially using Kafka, Snowflake, and Python. Strong expertise in distributed data processing and streaming architectures. Experience with Snowflake data warehouse platform: data loading, performance tuning, and management. Proficiency in Python scripting and programming for data manipulation and automation. Familiarity with Kafka ecosystem (Confluent, Kafka Connect, Kafka Streams) is a big plus. Knowledge of SQL, data modeling, and ETL/ELT processes. Understanding of cloud platforms (AWS, Azure, GCP) is a plus. Domain Knowledge in any of the below area: Trade Processing, Settlement, Reconciliation, and related back/middle-office functions within financial markets (Equities, Fixed Income, Derivatives, FX, etc.). Strong understanding of trade lifecycle events, order types, allocation rules, and settlement processes. Funding Support, Planning & Analysis, Regulatory reporting & Compliance. Knowledge of regulatory standards (such as Dodd-Frank, EMIR, MiFID II) related to trade reporting and lifecycle management.

Job Description About Tru Identity Tru Identity is using AI to make importing into the US simple. We help importers, marketplaces and logistics providers automate all the messy compliance work that slows trade down — saving time, money and endless frustration. We've already built a great product, have happy customers and are growing fast with government contracts secured. Tru Identity is reimagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year. Joining now means you'll be part of a small, sharp team with huge impact. You'll have real ownership, a voice in shaping the product and a chance to help build something transformative from the ground up. We move quickly, stay focused, and value grit and creative problem-solving above all else. About the position We're looking for a seasoned Backend Engineer to lead architecture and development of scalable, intelligent systems. In this role, you'll design and build APIs and distributed systems in Python/Django, manage async workflows with Celery, and deploy production-grade services on AWS. You'll also contribute to AI-powered features using tools like OpenAI, LangChain, and vector databases. Requirements • Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery, • Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and maintain reliable CI/CD pipelines, • Develop intelligent, AI-powered features — Integrate tools like OpenAI, LangChain, and vector databases to deliver production-grade AI functionality, • Develop async processing systems and distributed task queues, • Integrate AI capabilities using OpenAI, LangChain, or vector databases, • Lead and mentor junior engineers through code reviews and technical guidance, • Build CI/CD pipelines (GitHub Actions, Bitbucket, Jenkins), • Write clean, tested, and maintainable code, • 5+ years of deep backend development experience, • MUST be a US Citizen (or Green Card Holder) and eligible to obtain US government clearance (background check required), • Expert in Python/Django with focus on performance and scalability, • Skilled in Celery and async task processing, • Proficient in AWS infrastructure and cloud management, • Experience designing and deploying AI features using LLMs, LangChain, and RAG pipelines, • Hands-on expertise deploying, scaling and monitoring AI/ML models in production, • Strong CI/CD experience (GitHub Actions, Bitbucket, Jenkins), • Familiar with observability tools (Sentry, Prometheus, etc.), • Knowledge of microservices and event-driven architectures, • Experienced building systems and processes from scratch, • Background in startup and fast-paced environments, • Implemented security compliance, both for enterprise or for US Government projects, • $140 - $180K USD annually, • Generous PTO and holiday schedule, • 100% paid healthcare, • HSA benefits, • $1000 WFH stipend per year, • Company equipment provided #LI-JM1 #LI-Hybrid Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

Job DescriptionFull-stack Engineer (AI Platform) Seniority: 3-8 years of experience in full-stack engineering. Work Experience Previous experience at an AI company, ideally in conversational AI (e.g., Attentive, Klaviyo, etc.). Demonstrated ability to build and scale customer-facing systems in a fast-paced environment. Comfortable owning major components end-to-end with high levels of autonomy. Education Bachelor's degree in Computer Science from a top-tier school (or equivalent academic/professional achievement). Hard Skills * Proficiency in Python, React, and TypeScript. * Applied AI experience with strong familiarity working with large language models (LLMs). * Exposure to cloud-based systems, data pipelines, and event-driven architectures is a plus. Soft Skills * Strong collaborator who thrives in a startup environment. * Ability to translate complex AI and engineering challenges into simple, usable solutions. * Curious, fast-moving, and eager to build real-world AI applications. Compensation * Base salary: $140K - $250K. * Equity: 0.0251%, depending on experience. Additional Notes * Full-time, on-site role in New York City (flexibility available). * Visa sponsorship may be considered on a case-by-case basis.

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. Key Responsibilities • Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse., • Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources., • Develop robust data workflows using Python and Databricks Workflows., • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control., • Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases., • Monitor, troubleshoot, and optimize data workflows in production., • Collaborate with cross-functional teams to translate data needs into scalable solutions. Requirements • Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment., • Proven expertise in Python and SQL for data engineering tasks., • Strong understanding of lakehouse architecture and data modeling concepts., • Experience working with Databricks, Delta Lake, and Apache Spark., • Hands-on experience with AWS cloud infrastructure., • Track record of integrating data from external systems, APIs, and databases., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits. Preferred Qualifications • Masters in Computer Science, Engineering, Physics or related field., • Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains., • Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models., • Experience using ETL tools such as Fivetran or Airbyte., • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential. Interview Process: Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you. *We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Why Join Us: This is an exciting opportunity to play a key role in a hybrid hardware company with a dynamic team. Your contributions will directly support new product development as we launch our first generation of sensors to the market at scale. Position Overview: Voyant is growing and we are hiring a Field Application Engineer (FAE) to support our customers in integrating Voyant's lidar sensors into their projects and ensuring their success. This role will collaborate with the business development team and customers on pre- and post-sale technical activities, providing both software and hardware support for the Carbon development kit and supporting the test team. As an FAE, you will develop expertise in our product features, tools, and design flows while facilitating their adoption across diverse customer systems. The ideal candidate will have an interest or proficiency in lidar physics, electromechanical systems, basic thermal engineering, electrical system troubleshooting (using oscilloscopes and multimeters), signal protocols, computer networking, and electromechanical integration. This is a unique opportunity to engage directly with customers, solve real-world challenges, and contribute to the successful implementation of innovative lidar solutions. Voyant is at the forefront of delivering the highest-quality and most affordable LiDAR sensing capabilities ever developed. If you thrive in a fast-paced environment and are excited to be part of a revolutionary product transforming the sensing landscape, we’d love to hear from you. Location: New York City, Relocation assistance is available. Key Responsibilities: * Serve as the expert liaison between Customers, Business Development, and Engineering teams. * Guide customers through the process of design, testing, and integration into new and existing development projects. * Proactively develop Proof-Of-Concept (POC) designs for various use cases and real-time applications, leveraging the latest tools and technologies. * Troubleshoot system applications at the customer’s request, address other engineering issues related to system applications, and conduct regular follow-ups to monitor customer activities and identify new sales opportunities. * Support Business Development through both pre-sale and post-sale technical activities. * Conduct training sessions for clients on the latest tools and technologies. * Communicate strategically and effectively with customers to ensure alignment and clarity. * Travel to customer sites up to 25% of the time. Qualifications: * Excellent interpersonal and presentation skills. * Strong desire for continual learning and applying knowledge to solve technical challenges. * Initiative to self-educate and seek learning opportunities related to lidar and its applications. * Hands-on debugging experience with power supplies, multimeters, and oscilloscopes. * Experience in robotics, electromechanical systems, and sensor integration. * Proficiency in Python, C++, BASH, and Matlab scripting. * Basic understanding of signal protocols (e.g., UART, CAN, RS-232) and numerical representations (binary, hexadecimal). * Strong experience working in both Windows and Linux environments. * Solid understanding of networking concepts, including mDNS, Link-Local, IPv4, IPv6, DHCP, Subnet Mask, HTTP REST API, SSH, UDP, and TCP/IP protocols and applications. * Familiarity with ROS (Robot Operating System) and related robotics software tools (desired but not required). Preferred Qualifications: * Experience working at LIDAR Manufacturer Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Individual Contributor Infrastructure Engineer Target total compensation ranges from $170,000 - $580,000, including a fixed annual salary of $150,000 - $345,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith and are subject to company policies, board approval, and individual eligibility. As an Individual Contributor Infrastructure Engineer, you’ll design, build, and operate the systems that power Rokt’s global platform. We’re hiring across multiple levels (Entry, Associate, Senior, Staff, and Principal) and disciplines—Build & Release, Compute, and Storage. You’ll work as an individual contributor in a high-impact environment, helping to define the standards and technology that keep Rokt reliable, fast, and scalable. About the role: Common responsibilities (all levels & disciplines) • Design, implement, and operate core infrastructure powering Rokt’s production environment, • Write clean, maintainable, and well-tested code to automate infrastructure operations, • Partner with other engineers to improve system reliability, observability, and performance, • Participate in on-call rotations and help build systems that minimize operational toil, • Collaborate cross-functionally to identify bottlenecks, improve efficiency, and drive automation, • Design and maintain CI/CD pipelines (Buildkite or equivalent) for fast, safe, and repeatable deployments, • Improve developer experience with caching systems, build optimizations, and paved-road tooling, • Manage artifact repositories (Nexus or internal) and ensure secure, consistent release workflows, • Build and operate Kubernetes clusters and core platform services (EKS, ECR, Helm, Argo), • Manage networking and runtime layers, including VPCs, service mesh (Istio), ingress, and DNS, • Develop automation and controllers that enhance scalability, cost-efficiency, and reliability, • Operate and evolve distributed data systems (Kafka, Cassandra, Trino, and data-lake tooling), • Implement scalable ingestion, replication, and schema management solutions, • Ensure durability, availability, and performance across real-time and batch systems About You: Common requirements • Experience in infrastructure, DevOps, or platform engineering roles, or strong motivation to grow in this space, • Hands-on experience with Linux systems, AWS (or other cloud providers), and infrastructure as code (Terraform preferred), • Proficiency in scripting languages (Python, Bash, or similar), • Understanding of CI/CD, containerization (Docker, Kubernetes), and observability principles, • Proven ability to lead projects, design scalable systems, and mentor other engineers, • Deep expertise in one or more domains: Build & Release, Compute, or Storage, • Recognized technical leader in infrastructure design and operations, • Defines long-term vision for platform scalability, performance, and security About Rokt’stars: 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: • 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.

Job Description Who Are We? • Our Mission: Make government more accessible to connect and empower. We're building an AI platform that helps businesses and individuals make sense of messy government & court data. Executive orders, news shifts, regulations, legislation, cases - we're making sense of it all., • Why: Corporations, law firms, non-profits, and individuals alike are still using spreadsheets and archaic government websites to understand how public policy impacts their industry. They deserve a 21st century tool that streamlines how we make sense of governing bodies, and enables a more transparent and accessible advocacy process., • Customers: Include Fortune 500 Companies, AM Law 100 Global Law Firms, and Government Organizations., • Team: Passionate and hungry (both literally and figuratively), looking to build cool stuff to benefit everyone!, • Where: HQ in NYC w/a hub in Salt Lake City. We're looking for a frontend engineer who can architect, build, and refine how users experience the Abstract platform. You'll report directly to the CTO and work alongside a small team of backend and AI engineers. You'll have autonomy to make technical and product decisions that influence how enterprises interact with legislative and regulatory data — from real-time AI chat to dashboards and search interfaces. Our stack includes a Next.js frontend built with TypeScript, Tailwind, shadcn/ui, and Prisma, integrating with a Python-based chat API. You should be comfortable working across the frontend architecture, writing efficient queries when needed, and unafraid to touch backend code when it helps move the product forward. In this role, you'll own all things frontend: component structure, state management, performance, and design implementation. Over time, you'll help evolve the frontend into a polished, scalable system that balances speed, maintainability, and delight. Your Background • Experience: 7+ years of professional software engineering experience, including several years before the rise of AI-assisted tooling. You've seen a few production systems live long enough to gather scars., • Frontend Expertise: Deep experience building modern web applications with React, Next.js, and Tailwind. You care about clean architecture, performant rendering, and reusable components., • APIs & Data: Skilled at integrating complex APIs and handling real-world data flows. Bonus if you've touched Prisma or written efficient queries yourself., • AI Fluency: Comfortable building around AI systems — streaming model responses, structured JSON outputs, or integrating model-driven UI features. You use AI coding tools daily but still know how to reason from first principles., • Collaboration: Proactive communicator who values clear decisions, async documentation, and cross-functional context., • Low Ego, High Ownership: You bring ideas to the table, argue them well, and move toward the right answer for the user, not for your pride., • Tooling: Strong understanding of Git and modern dev tooling and workflows., • You've shipped or scaled a SaaS product with real users and revenue., • Experience building or integrating AI-driven products (chat interfaces, embeddings, model APIs)., • Background in legal tech, govtech, or other data-heavy enterprise products., • Previous experience as an early engineer at a startup., • $175,000 - $220,000 Annual Salary Generous Time Off • Unlimited PTO & Sick Leave Health Insurance • Anthem Blue Cross Platinum PPO 15/40/10%, • Anthem Blue Cross Gold PPO 30/500/20%, • Anthem Blue Cross Silver PPO 45/1750/40%, • Our plan provides you an opportunity to defer compensation for your long-term savings (Pre-tax and Roth)., • We will match up to 3.5% of your total eligible compensation.

Job Description Role Overview: We are seeking a Senior Amazon Connect Engineer to lead the design, development, and delivery of modern cloud-based contact center solutions leveraging Amazon Connect and related AWS services. This role will serve as a key technical authority, responsible for building scalable voice and chat solutions, driving system integrations, and ensuring high-performing, resilient architectures that enhance customer engagement. Key Responsibilities: Architecture & Design • Define and own the end-to-end technical strategy for Amazon Connect implementations., • Architect secure, scalable, and fault-tolerant contact center systems., • Lead platform modernization and migration from legacy telephony systems to AWS-based solutions. Development & Integration • Design and build advanced contact flows, Lex bots, routing logic, and IVR frameworks., • Integrate Amazon Connect with Salesforce, ServiceNow, and custom CRM applications., • Develop AWS-based backend services using Lambda, API Gateway, DynamoDB, Kinesis, and EventBridge., • Implement AI-driven experiences using tools such as Amazon Bedrock, OpenAI, or LangChain. Operations & Support • Support production environments and ensure system reliability through monitoring and automation., • Perform root-cause analysis and implement continuous improvements for incident management., • Establish observability metrics (SLIs/SLOs) and dashboards to track performance. Leadership & Collaboration • Mentor junior engineers and support team skill development., • Partner with network and security teams to maintain compliance, IAM policies, and QoS standards., • Deliver analytics and reporting capabilities for business operations. Required Skills & Qualifications: • 5–10+ years of experience in telephony, contact center technology, or AWS backend development., • 3+ years hands-on experience with Amazon Connect preferred., • Strong experience with AWS services including Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating with Salesforce Service Cloud Voice or similar platforms preferred., • Knowledge of networking and telephony concepts such as SIP, RTP, and PSTN., • Experience with REST/GraphQL APIs, JWT, and OAuth/SAML authentication., • Familiarity with Terraform, CloudFormation, Git, and CI/CD automation., • Strong analytical, communication, and leadership skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job Description The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. Join us and you’ll keep millions of users listening to great recommendations every day.What You'll Do • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approachesWho You Are, • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • You enjoy leading projects from start to finish working closely with your team and peers, • You are comfortable dealing with ambiguity on high impact projects, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the worldWhere You'll Be, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our core values of Excellence and Intensity define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. SC 2.0 is the engine powering our vision. Appian's Solutions Consulting team is in the midst of an exciting transformation—redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features—they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SC leader, Gregg Aldana discuss SC 2.0 here Appian's Game Changing Solutions Consulting Team - Do you enjoy solutioning with an award winning technology? Do you like working alongside the smartest and most creative people in the tech industry? Ready to take your career to the next level and have a tremendous amount of fun in the process? Come and join one of the most exciting, energetic and emerging areas of Appian that is poised to fuel the next stage of growth of this ambitious company and your career: Solutions Consulting. The Global Solutions Consulting organization at Appian is a team like no other out there. We are self-starters that are passionate about our mission and are redefining what it means to work in the Pre-Sales or Sale Engineering profession. Whether you are a seasoned veteran of Solution Consulting for many years or looking to pursue a new career in this area, this is THE TEAM…..THE COMPANY and THE MOVEMENT you want to be a part of. Appian Solution Consulting starts with the "Why" behind the mission critical solutions that are driving success for our customers. Through a combination of creative persona-based storytelling, technical solutioning, and business consulting, Appian's Solution Consultants are the driving force behind helping customers understand the business value that Appian's technology can provide during the sales cycle and beyond. Appian's Solution Consultants are the trusted advisors for customers, partners, sales, product, marketing and the company's leadership. Join this exciting team today to begin fueling your career! To be successful in this role, you need: • Deep and recent expertise in the Financial Services (FS) Industry domain. You must speak the language of FS executives, understand their core business challenges (e.g., regulatory compliance, risk management, customer onboarding, loan origination, tokenization), and translate those into high-impact Appian solutions., • A proven track record as a trusted technical business advisor, evidenced by successful engagement with executive-level stakeholders (VP, SVP, C-suite) to co-create long-term strategic roadmaps., • Executive-level presentation and storytelling skills. Ability to craft and deliver compelling business cases that clearly articulate the business value and ROI of Appian solutions, moving beyond feature-centric demonstrations., • Experience working in an enterprise PreSales position OR a client-facing technology advisory role within a Financial Services institution or ISV (e.g., in transformation, architecture, or strategy)., • Experience leading and navigating complex, multi-stakeholder RFx/RFP processes, serving as the technical lead., • Recent experience in a modern programming language such as Java, C#, Python, C++, JavaScript, SQL, HTML, XML, XSL, etc., • Ability to strategically problem solve by thinking outside of the box to create innovative solutions that address complex FS challenges., • Architectural expertise to identify how Appian can fit into the bigger organizational strategy and technical ecosystem., • Strong verbal and written communication skills; experience with executive customer interaction, requirements analysis, and compelling business presentations., • Bachelor's or Master's degree in Information Systems, Engineering, Computer Science, or a related field., • 5+ years as a successful Pre-Sales Engineer OR 6+ years in a Professional Services/Consulting role, with a significant focus (3+ years) in the Financial Services Industry. Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job DescriptionSenior Full Stack Engineer - On-Chain Economic Security Location: Remote - Preference for NYC - Or Remote USA or Tel Aviv (classed as Europe) to work EST hours Compensation: $144K - $164K We are the first automated, on-chain economic security system, enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. Our platform uses world-class custom EVM simulations to analyze protocol mechanics and is trusted by leading DeFi platforms to secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Full Stack Engineer to build data-driven dashboards and tools that support our critical risk analysis. You will take full end-to-end ownership of projects, translating high-level goals into technical strategy and execution. This role involves deep collaboration with our research and protocol teams to deliver high-quality frontend and backend components. You will be instrumental in visualizing protocol risk insights via intuitive, data-rich interfaces and evolving our core Alert Portal. Key Responsibilities: • Full Ownership: Take full ownership of projects: breaking down goals, proposing technical approaches, and driving execution end-to-end., • Frontend Design: Design and implement scalable frontend dashboards and tools that visualize protocol risk, utilizing React and integrating tightly with backend data sources., • Backend Services: Build and maintain robust GraphQL APIs and data services that serve our UI and internal tools., • Platform Evolution: Evolve our Alert Portal, owning new feature development, architectural improvements, and performance optimizations., • Mentorship & Quality: Mentor and support junior engineers, contribute to continuous platform improvement, and ensure code quality through testing, documentation, and code reviews., • Experience: 5+ years of professional experience in full-stack development with modern technologies (Node.js, Python, or similar)., • Frontend: Strong experience building React-based web applications., • Backend/API: Solid understanding of API design, especially using GraphQL., • Project Management: Proven ability to independently manage projects and deliver production-grade features with minimal supervision., • Data Applications: Experience working with data-intensive applications or analytics dashboards., • Mindset: Passion for high-quality engineering, strong problem-solving abilities, and comfortable working in dynamic, high-ownership environments., • Domain Interest: Strong passion for DeFi and blockchain technology. Preferred Qualifications (Nice-to-Haves): • Experience designing, developing, and operating cloud-native services (AWS/GCP)., • Strong foundation in frontend engineering best practices (accessibility, performance, testing)., • Familiarity with CI/CD pipelines and modern DevOps workflows., • Salary: Competitive salary range of $144,000 - $164,000 USD, commensurate with experience., • Time Off: 21 days of Competitive PTO + 7 sick days + 8 observed US-company holidays., • Health Coverage: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • Wellness: Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP) and thoughtful Parental Leave Policy., • Growth: Career growth opportunities at a rapidly expanding, global technology company., • Additional Perks: Pre-tax Commuter Benefits; FSA or HSA options. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Provisioning team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our server hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions. About the role: • Develop and maintain hardware/firmware management services., • Automate all aspects of the server hardware lifecycle., • Serve as the senior point of contact for hardware escalation and troubleshooting., • Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture., • Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results., • Analyze and optimize the performance of hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency., • Proficiency in ansible/python and experience with programmatically interacting with server BMCs, using IPMI or Redfish (preferably Redfish)., • In-depth knowledge of server hardware, components, and management technologies., • Proven ability to stay updated with the latest industry technologies and trends., • Previous experience collaborating with hardware vendors., • Strong passion for automation, with a commitment to automating processes comprehensively., • Excellent documentation skills and attention to detail., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking a Lead Data Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers. We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems. Our team is 100% distributed and remote. Things You Get To Do: • Design and oversee key forward and reverse ETL patterns to deliver data to relevant stakeholders., • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals., • Expand and maintain the constantly evolving elements of the Alpaca Data Lakehouse architecture., • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs., • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day., • Proficiency in at least one programming language, with strong working knowledge of Python and SQL., • Experience with cloud-native technologies like Docker, Kubernetes, and Helm., • Strong hands-on experience with relational database systems., • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)., • Ability to work in a fast-paced environment and adapt solutions to changing business needs., • Experience with ETL technologies like Airflow and Airbyte., • Production experience with streaming systems like Kafka., • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC)., • Deep knowledge of distributed systems, storage, transactions, and query processing.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job Description Job Code 1144 Department Name IT Reports To Assistant Director, Data Architecture & Data Governance FLSA Status Exempt Union Code N/A Management No About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Reporting to the Assistant Director of Data Architecture & Data Governance, the Enterprise Data Architect & Modeler will lead the design, development, implementation, and management of our data architecture and modeling initiatives within the 32BJ Benefit Funds ensuring that data is organized integrated, and accessible across the organization. The Enterprise Data Architect & Modeler will develop enterprise data solutions that enable seamless integration, accessibility, and governance of critical data assets across hybrid cloud and on-prem environments. The ideal candidate will have hands-on experience in data modeling, data warehousing, and data pipeline development, working within Microsoft SQL Server, Azure, Databricks, and AWS ecosystems. This role will collaborate with IT teams and business stakeholders to build and optimize enterprise data models, ensure data integrity, and support master data management (MDM) and data governance initiatives. Essential Duties and Responsibilities: • Lead development of conceptual, logical, and physical data models that meet business and technical requirements while balancing normalization, performance, and maintainability., • Produce implementation artifacts (ER diagrams, dimensional models, data dictionaries, model change impact analyses) to guide engineering, analytics, and operations teams., • Apply modeling best practices and patterns (e.g., Type 2 Slowly Changing Dimensions, surrogate vs. natural keys) and define partitioning, indexing, and retention strategies to optimize query and storage performance., • Translate logical models into platform-specific physical designs for Microsoft SQL Server and cloud targets (e.g., Databricks Delta Lake), including recommendations for table design, materialized views, and aggregation layers., • Document architectural tradeoffs (performance, storage, consistency) and versioning/change-control for models., • Architect ETL/ELT and ingestion patterns for structured and unstructured data, including batch, and streaming (event-driven) approaches., • Define reusable integration templates and data contracts for source teams and downstream consumers; support ingestion from CRM, member portals, payroll/financial systems, and third-party APIs., • Specify orchestration and operational patterns (e.g., Azure Data Factory, Databricks Jobs) covering idempotency, retry/backoff, checkpointing, and partitioning for scale and recoverability., • Embed observability and quality: schema-evolution handling, automated profiling, validation gates, lineage capture, monitoring/alerting, and SLA definitions., • Advise on performance and cost tradeoffs (e.g., file formats such as Parquet/Delta, compaction, columnar storage) and recommend optimization strategies., • Design and operationalize MDM approaches to establish authoritative records and a Single Source of Truth (SSOT) for core domains (e.g., member, provider)., • Define entity resolution, deduplication, survivorship rules, matching confidence thresholds, and stewardship workflows for record reconciliation and updates., • Collaborate with Data Governance on metadata management, lineage, and data quality metrics (e.g., completeness, uniqueness, accuracy), and recommend remediation and monitoring strategies., • Ensure models and pipelines incorporate privacy, security, and compliance controls (e.g., PII tagging, RBAC, encryption), supporting applicable frameworks (e.g., HIPAA, SOC 2) where relevant., • Define stewardship roles, SLAs for issue remediation, and integration points between MDM and the business glossary/downstream consumers., • Translate complex data concepts into business-friendly terms to facilitate understanding across non-technical stakeholders., • Partner with business owners, analytics, engineering, and operations to translate requirements into data products and model designs; present tradeoffs and recommended approaches in business-facing terms., • Produce clear documentation and training artifacts (data dictionaries, runbooks, design briefs) to drive consistent adoption and model transparency., • Mentor and coach technical staff, data stewards, and analysts on modeling standards, architecture principles, and data literacy; support training sessions to increase adoption of governance practices, and promoting a culture of continuous learning., • Facilitate model reviews, architecture governance sessions, and stakeholder sign-offs for critical changes., • Research and evaluate new database, lakehouse, modeling, and integration technologies (e.g., improvements to Databricks, cloud-native warehouses) and lead POCs to validate technical and business value., • Advocate for DataOps/CI-CD practices around tests, automated deployments, and reproducibility for pipelines and model artifacts., • Conduct periodic architecture and model reviews, identify process/technology gaps, and lead initiatives to increase operational maturity, reliability, and scalability. Qualifications (Competencies): • 7+ years of hands-on experience in data architecture, data modeling, or data engineering in hybrid on-prem/cloud environments., • Deep experience across conceptual, logical, and physical modeling; dimensional modeling and OLAP/OLTP design patterns., • Excellent SQL programming skills and experience with Microsoft SQL Server, Azure Synapse, or AWS Redshift and experience with performance tuning (partitioning, indexing, query optimization)., • Practical experience building and supporting data warehouses and pipelines using Microsoft SQL Server and cloud platforms such as Azure (e.g., ADF, Synapse), Databricks, and AWS (e.g., Redshift, S3, Glue)., • Proven experience with ETL/ELT patterns, schema evolution handling, pipeline observability, and lineage., • Experience supporting MDM, metadata management, and compliance requirements., • Experience with orchestration/transformation tools (e.g., dbt, Airflow, SSIS)., • Basic knowledge of BI and reporting tools (Power BI, Qlik, Tableau)., • Familiarity with lakehouse patterns and file formats (e.g., Delta Lake, Parquet) and columnar warehouses (e.g., Redshift, Snowflake)., • Scripting/automation experience (e.g., Python) for prototyping and tool integration., • Strong understanding of data governance frameworks (DAMA DMBOK, DCAM) and metadata management principles., • Prior experience in regulated industries (healthcare, retirement/benefits, finance)., • Experience using Azure DevOps to manage Agile project work (sprint planning, backlog grooming, ticket creation/triage, and tracking). Soft Skills (Interpersonal Skills): • Strong verbal and written communication skills, with ability to present technical topics to non-technical stakeholders., • Detail-oriented with a passion for data accuracy and integrity., • Strong problem-solving and analytical abilities., • Ability to multi-task and work on multiple projects in a fast-paced environment. Education: • Bachelor’s degree in Computer Science, Information Systems, Data Science, or equivalent experience. Language Skills: Speak, read, write, and understand English. Reasoning Ability: High Certificates, Licenses, Registrations: • Microsoft Certified: Azure Data Engineer Associate is preferred but not required., • TOGAF, CDMP, or other relevant data architecture certifications are highly preferred. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • 1/3 to 2/3 of the time: Work near moving or mechanical parts, exposure to radiation, moderate noise.

Job DescriptionFull-Stack Engineer, AI Financial Agent Location: Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv. compensation: $160K - $200K We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team and develop our cutting-edge financial AI agent. As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full-stack systems that power our financial AI agent. Responsibilities: • Design and build end-to-end full-stack systems for our AI financial agent., • Develop scalable APIs and backend services to support agent workflows., • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, and enable real-time interaction., • Collaborate with AI researchers to integrate and productionize agent logic., • Connect and manage data pipelines from financial sources., • Implement testing, monitoring, and performance best practices., • Stay up to date with LLM frameworks, full-stack tools, and financial trends. Requirements Essential Qualifications: • Experience: 5+ years of full-stack development experience., • Backend Proficiency: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js., • Frontend Proficiency: Strong proficiency in React., • System Knowledge: Proven experience building scalable APIs and web applications., • Data Skills: Solid knowledge of relational and non-relational databases., • AI Experience: Hands-on experience with LLMs and frameworks like LangChain or similar., • Advanced AI Concepts: Familiarity with vector databases, RAG pipelines, and async programming., • Domain Expertise: Experience with financial data and APIs., • Work Style: Comfortable working in fast-paced, self-directed environments., • Location: Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC-based candidates). Preferred Qualifications: • Experience building LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design., • Experience with embedding pipelines, semantic search, and RAG architectures., • Proficiency with profiling tools and performance optimization., • Compensation: Competitive PTO (21 days) plus 7 sick days and 8 observed US-company holidays., • Healthcare: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • Financial Wellness: FSA or HSA (pending on selected health insurance) and Pre-tax Commuter Benefits., • Support: Thoughtful Parental Leave Policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)., • Growth: Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job Description 📍 Working Arrangement: United States (Remote - work from anywhere in United States) Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding Lead AI Engineer based in the US to play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team. Why This Role Matters * You’ll design and deploy core AI systems that serve millions across the region * You’ll be the right hand to the Head of AI — driving technical execution and engineering standards * You’ll lead and mentor junior engineers to elevate team performance and capabilities * You’ll play a critical role in hiring and scaling a high-performance AI team What You’ll Do * Design, build, and ship production-grade ML models for high-impact use cases * Lead model architecture, data pipeline design, and deployment strategies * Collaborate across product, engineering, and data teams to drive AI initiatives * Own the end-to-end ML lifecycle — from data prep to deployment and monitoring * Review code, guide projects, and mentor engineers through technical challenges * Champion experimentation, continuous learning, and AI best practices * Interview and evaluate candidates, contributing to technical hiring and team building * Stay ahead of ML advancements — and bring cutting-edge solutions into production You’ll Thrive Here If You... * Lead from the front — you’re hands-on in code, but always lifting others * Think like an owner — you don’t wait for permission to solve a problem * Operate at speed and depth — you make fast, sound decisions that balance trade-offs * Push for clarity — even in chaos, you bring structure, direction, and accountability * Care about what ships — you focus on solving real-world problems, not just academic ones * Grow the team, not just the tech — you enjoy mentoring, coaching, and seeing others win * Adapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidence * Have a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterate * Keep learning — you’re constantly leveling up your technical, product, and leadership game Requirements * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field * Strong proficiency in Python is a must * 4–6 years of experience in AI/ML engineering with real-world deployment experience * Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring * Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.) * Track record of technical leadership and mentoring engineers * Excellent communication and collaboration skills * Must be based in the US and open to working remotely with regional teams Nice to Have * Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS) * Familiarity with responsible AI practices (fairness, interpretability, model governance) * Startup or scale-up environment experience * Exposure to building internal tools, reusable ML components, or AI platforms What You’ll Get * Competitive salary and performance-based bonuses * Fully remote and flexible work arrangement from anywhere in the US * High ownership role with impact visible at a regional scale * Direct reporting line to Head of AI with exposure to senior leadership * Opportunity to lead and shape a growing AI engineering team * Fast-track career growth and learning opportunities in a high-speed environment * Collaborative, flat culture where ideas move fast and great work gets noticed About BJAK BJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair. We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia. If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based in North America to join our growing team. This role will report to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato's AI Agentic capabilities to provide thought leadership best practices and help scale and drive adoption to achieve its strategic initiatives. In order to be successful in this role, you must be able to articulate technology and communicate the value of Workato's products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team As a Snr Solutions Consultant, you will be part of Workato's Presales Team and Architecture community and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer's future state for AI and Enterprise Automation. Responsibilities This is a role for the North America-based role. Proximity to Palo Alto / NYC / Austin / Boston / Denver is preferred. In this role, you will also be accountable to: We seek an exceptional Solution Architect to join our growing team. In this role, you will enable our clients to become proficient on Workato's Agentic Platform, empowering their employees and building AI Agent solutions for their business. You will also be responsible to: • Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work., • Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer's AI use cases., • Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc., • Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products, • Create and deliver custom product demonstrations, AI Agentic use cases, • Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote., • Able to respond to functional and technical elements of RFIs/RFPs, • Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap., • Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events, • Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.RequirementsExperiences, • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development., • Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects., • 06-10 years of pre-sales experience in a SaaS/iPass organization., • Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications., • Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance., • Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT., • Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases., • Knowledge of python programming (or understanding/familiarity with object-oriented programming). Qualification, • Ability to learn new concepts, and technologies to solve problems., • Excellent presentation abilities and composure in front of all levels of technical and business audiences., • Ability to lead architectural discussions., • A passion for technology and translating that passion into business impact for customers., • Excellent verbal communication, written communication, and presentation skills in front of all audiences.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research., • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you're passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you! • Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal, • Use Python, Golang, and Bash to create tooling and go operators, • Perform day 2 lifecycle tasks and maintenance on running clusters, • Identify gaps and implement fault-tolerant architectures, • Optimize reliability using the Grafana ecosystem, • Design automated testing to validate build quality and stability, • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, • Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, • Proficiency in Golang, Bash, and Python, • Advanced Linux OS troubleshooting skills, • Extensive experience with Ansible, • Advanced DevOps experience (e.g., GitLab CI, GitHub Actions), • Demonstrated ability to collaborate effectively on shared codebases, • Excellent documentation skills and high attention to detail, • Strong analytical and problem-solving abilities, • Bare-metal OS provisioning experience, • Kubernetes operator coding experience, • Advanced Linux networking expertise What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early engineer at Angle, you'll play a key role in architecting and scaling the core backend infrastructure that powers our healthcare platform. This is an opportunity to build systems from the ground up—designing APIs, structuring data models, and optimizing performance to support a high-growth company. You'll work closely with product owners, designers, and other engineers to bring new features to life, ensuring our systems are both scalable and reliable. From architecting backend services to debugging performance bottlenecks, you’ll have full ownership of the product lifecycle—shaping everything from system design to implementation. This role is perfect for engineers who love tackling complex problems in a fast-paced environment, enjoy working with cross-functional teams, and want to see their work directly impact the future of healthcare. If you're excited by the challenge of building high-performance backend systems at scale, we'd love to have you on board. This position is based in our NYC office. Core Responsibilities * Work directly with the Head of R&D in architecting and building Angle's backend infrastructure * Work with product owners & designers to build a scalable implementation process across multiple web products * Support the entire application lifecycle, including concept, design, test, release, and support phases * Build optimal backend applications that are performant at scale * Work together with the product leadership to plan new features * Oversee the compliance of applications with established quality standards What We Value * 4+ years software engineering experience * Strong understanding of business context and a desire to connect engineering solutions to real-world problems, driving impactful outcomes for the company and its users * Strong engineering background in technical fields such as Computer Science, Mathematics, Software Engineering, and Physics * Familiarity with data structures, CI/CD, software development lifecycles, backend frameworks, and other technical tools * Demonstrated proficiency in Python and Django, experience with Java is a plus * Demonstrated ability to learn and work independently and make decisions with minimal supervision * A desire to be part of the journey to change the face of healthcare * Inspire your colleagues with your thirst for mastering the things you work with * Are a passionate developer, proud of the quality of your work The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. Because We Value You: * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. Compensation Range: $100K - $240K

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionWho We Are Develocity is a first-of-its-kind toolchain observability and acceleration platform that helps software teams adopt and improve DORA capabilities (including continuous delivery) in order to achieve software delivery excellence. It combines build and test acceleration with deep observability for builds and tests with Gradle Build Tool, Apache Maven™, sbt, npm, and Python, and applies to both CI and local builds and tests. Ultimately, Develocity provides an operational layer across an organization's toolchains to speed up, troubleshoot, and optimize local developer and remote CI feedback loops. Our software is used by some of the world's leading software organizations, such as Netflix, Airbnb, SAP, several top ten banks, and many other major customers across all verticals. We regularly collaborate with these and other users to make our products continuously better. We have partnered with the Apache Software Foundation, the Commonhaus Foundation, the Scala Center, the Micronaut Foundation, and other OSS projects like Spring, Quarkus, Kotlin, JUnit, AndroidX, and many more to bring the values of Develocity also to the OSS Community. Our Values Seek to Understand: Everything starts with listening and understanding, and we strive to understand different viewpoints, problems, and motivations. Before we take action, we ensure we truly grasp the challenges, perspectives, and goals. Know the Why: We approach our work with a clear sense of purpose, ensuring every step is deliberate and focused. We take meaningful action with urgency, but never at the expense of thoughtful consideration. Innovate & Iterate: We embrace challenges and are not afraid to try new things, even if they might fail. With deep understanding and a clear purpose, we can develop creative and bold solutions to tackle challenges. Own the Outcome: We are empowered to take initiative and we maintain transparency in our work and its outcomes. When we execute, we take responsibility for our decisions, measure the success of our innovations, and learn from the results. Who You Are As a Pre-Sales Engineer at Gradle, you will be on the front lines, working closely with our customers, prospects, and partners, guiding them on how to optimize the productivity of their engineering organization by improving the software build and testing processes. You will work with our Sales, Product Management, and Engineering teams to help customers understand and experience the value of the Develocity solution from a technical, business, and financial perspective. At Gradle, our sales organization leverages the following to to allow you to focus on creating pipeline and driving revenue: • A hardened qualification and prioritization process to ensure you are engaged with the right end users at the right companies., • A world class product that solves a massive problem every software developer and Engineering leader faces daily., • A standardized evaluation process that delivers immediate technical value and a hard cost ROI in just a few days., • Collaborate with the Sales team through MEDDICC to identify and communicate the potential application of the Develocity product in prospective customer environments., • Conduct customer discovery, deliver compelling software demos, solution presentations, and product PoC showcasing Develocity's value., • Communicate important customer product feedback to Product Marketing, Product Management and Engineering teams., • 5+ years of experience working in Pre-Sales Engineering, Solutions Engineering, Consulting, Software Engineering Manager or a combination of these, selling to enterprise environments., • Previous experience working as a software engineer., • A "Product Journey" and "Customer Journey" mindset with a deep desire to deploy impactful solutions., • Familiarity and technical understanding of some, not necessarily all, DevOps SDLC tools, SDLC supply chain observability and build tools in particular:, • Build tools (Maven, Gradle, Android, Bazel, NPM, Python, etc.), • VCSs (Git, Subversion, etc.), • CI/CD tooling (Jenkins, GitLab, TeamCity, Github Action, Harness, ArgoCD, etc.), • Container technologies (Docker, Kubernetes, OpenShift, etc.), • Artifact repositories (Artifactory, Nexus, etc.), • Observability tooling (Datadog, Splunk, Dynatrace, etc.), • SDLC Supply Chain Security, • Advanced communication and presentation skills., • Excellent time management skills and the ability to prioritize activities autonomously in the best interest of your Sales team., • Strong work ethic and can-do attitude. Preferred Qualifications, • Experience with MEDDICC or MEDDPICC., • Hands-on experience with Develocity., • Experience with Agentic AI.What We Offer, • Ability to work in a remote-first environment with flexible working hours., • Work on a fast-growing product with a clear vision for the future., • Close collaboration with an ambitious and experienced team and the opportunity to learn from them regardless of your experience level., • Opportunities for growth in your career and in leadership responsibilities., • In-person meetings, such as our annual company offsite (where previous locations have included France, Spain, and Italy), team meetings, and onboardings., • Contribute to leading solutions in the new industry of Developer Productivity Engineering and work with cutting-edge DPE tools and practices. The US salary range for this position is $200,000-250,000 OTE which reflects the target ranges for all US locations. Within this range, individual pay is determined by geographic location and additional factors including but not limited to experience, relevant skills, qualifications, seniority, performance, and travel requirements. Our recruiting team can share more information about the specific salary range for your location during the hiring process. Location • Remote from anywhere in the US. Please note: we are hiring for two positions (East Coast and West Coast)., • While our team works remotely and is spread across the globe, we deeply value daily interactions and collaboration.

Job Description 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: In order to transform how millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Onsite (3 days in office/2 days remote) – New York, NY, Santa Monica, CA, or Aliso Viejo, CA About the team: The Infrastructure team is a group of highly motivated engineers focused on enabling the foundation for rapid, reliable, and scalable product development at StubHub. We own and evolve the internal service catalog and core compute platforms which power the creation of applications and services across the company. Our responsibilities include build systems, deployment tooling, artifact management, infrastructure provisioning, and cloud resource management. We also own foundational capabilities like service attribution. We work closely with engineering teams across the organization to promote infrastructure best practices, self-service platforms, and operational excellence. What You've Done: • 5-6+ years of professional experience in software development, • Experience with developing robust, mission-critical systems using one or multiple general-purpose programming languages (e.g., Python or Go), • Track record building robust, mission-critical systems—particularly in areas such as infrastructure, distributed systems, machine learning platforms, security, or privacy, • Designed and delivered complex solutions with high business impact, emphasizing enablement and self-service, • A strong understanding of how systems interact with the broader production environment, including dependencies and platform primitives, • Hands-on experience using Infrastructure as Code (IaC) tools like Terraform or CloudFormation to build reliable and maintainable platforms, • A growth mindset with demonstrated ability to quickly learn new programming languages, platforms, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What You'll Do:, • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Accelerated Growth Environment: 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: Competitive base, equity, and upside that tracks with your impact., • 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.

Job DescriptionFull Stack Software Engineer (Remote) Location: Remote (US-based) Reports to: CTO, SportsRecruits About SportsRecruits SportsRecruits is the leading sports recruiting network, connecting athletes, clubs, events, and college coaches in the recruiting process. The company’s network and tools are trusted by sports organizations such as the IWLCA, IMLCA, NFHCA, and Junior Volleyball Association. Every year, millions of connections are made on the network, resulting in commitments to the best academic and athletic institutions. SportsRecruits is part of IMG Academy, the world's leading sports education brand. IMG Academy provides a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: • Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla., • Online coaching via IMG Academy+, with a focus on personal development through the lens of sport and performance Our stack includes: • Laravel + PHP8 backend APIs, • Vue.js (v2 and v3) + Inertia.js + Tailwind frontend, • React Native mobile applications, • Python for internal tools and ML/LLM-based features, • Implement, and optimize new features across web and mobile platforms, • Contribute to our Vue.js frontend (Inertia.js) and Laravel-based API, • In-browser video clipping and editing with computer vision driven isolation effects, • React-native based hybrid iOS/Android app, • Tools for partner events to import rosters of athletes with built-in column mapping, de-duping and validation rules to automatically merge duplicate user data About YouMust-Haves:, • 2-3 years of professional software engineering experience, • Expertise in at least one modern programming languages (e.g., PHP, Python, JavaScript, TypeScript), • Experience with at least one PHP MVC framework (Laravel or Symfony), • Strong frontend experience with Vue, React, or similar frameworks, • Familiarity with relational databases (MySQL, PostgreSQL, etc.), • Comfortable writing and maintaining automated tests (unit, integration, E2E), • Passion for clean code, system design, and scalable architecture, • Laravel, Vue, or TailwindCSS experience, • Experience working with 3rd-party APIs and async job queues (SQS, Redis), • Knowledge of AI tooling, LLM integration, or computer vision, • Meaningful Work: Help shape a platform that impacts thousands of student-athletes’ futures., • Modern Stack: Work with Laravel, Vue, React Native, Python, and AWS, backed by great tooling and infrastructure., • Growth-Oriented Culture: We prioritize learning, experimentation, and continuous improvement. Competitive salary: $100,000 – $125,000 per year * Remote-first team culture * Health, dental, and vision coverage * 401(k) with company match * Unlimited vacation policy Powered by JazzHR yEdtjhFkby

Job DescriptionSenior Full Stack Software Engineer (Remote) Location: Remote (US-based) Reports to: CTO, SportsRecruits About SportsRecruits SportsRecruits is the leading sports recruiting network, connecting athletes, clubs, events, and college coaches in the recruiting process. The company’s network and tools are trusted by sports organizations such as the IWLCA, IMLCA, NFHCA, and Junior Volleyball Association. Every year, millions of connections are made on the network, resulting in commitments to the best academic and athletic institutions. SportsRecruits is part of IMG Academy, the world's leading sports education brand. IMG Academy provides a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: • Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla., • Online coaching via IMG Academy+, with a focus on personal development through the lens of sport and performance Our stack includes: • Laravel + PHP8 backend APIs, • Vue.js (v2 and v3) + Inertia.js + Tailwind frontend, • React Native mobile applications, • Python for internal tools and ML/LLM-based features, • Architect, implement, and optimize new features across web and mobile platforms, • Contribute to our Vue.js frontend (Inertia.js) and Laravel-based API, • Collaborate with product managers, designers, and QA to shape our roadmap and deliver intuitive, high-impact experiences, • Review pull requests, mentor junior developers, and enforce our code quality and testing standards, • Optimize performance and ensure security across the stack You will contribute to solving complex problems that will make our platform even better at connecting thousands of student athletes and college programs. Some interesting projects we’ve recently worked on are: • In-browser video clipping and editing with computer vision driven isolation effects, • React-native based hybrid iOS/Android app, • Tools for partner events to import rosters of athletes with built-in column mapping, de-duping and validation rules to automatically merge duplicate user data About YouMust-Haves:, • 4-5+ years of professional software engineering experience, • Expertise in at least two modern programming languages (e.g., PHP, Python, JavaScript, TypeScript), • Deep experience with at least one MVC framework (Laravel, Rails, Django, etc.), • Strong frontend experience with Vue, React, or similar frameworks, • Familiarity with relational databases (MySQL, PostgreSQL, etc.), • Comfortable writing and maintaining automated tests (unit, integration, E2E), • Passion for clean code, system design, and scalable architecture, • Laravel, Vue, or TailwindCSS experience, • Familiarity with containerized deployments (Docker, ECS, etc.), • Experience working with 3rd-party APIs and async job queues (SQS, Redis), • Knowledge of AI tooling, LLM integration, or computer vision, • Experience mentoring teammates or leading small engineering efforts, • Meaningful Work: Help shape a platform that impacts thousands of student-athletes’ futures., • Modern Stack: Work with Laravel, Vue, React Native, Python, and AWS, backed by great tooling and infrastructure., • Growth-Oriented Culture: We prioritize learning, experimentation, and continuous improvement. Competitive salary: $100,000 – $150,000 per year * Remote-first team culture * Health, dental, and vision coverage * 401(k) with company match * Unlimited vacation policy Powered by JazzHR m7xDEkcmrX

Job Description Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We are looking for AI Infrastructure engineer to help build and scale the infrastructure that powers our machine learning initiatives. In this role, you will design, develop, and optimize the core platforms and services that enable data scientists and ML engineers to train, deploy, and monitor models efficiently. You'll partner closely with Data Science, Data Engineering, and Product teams to create a robust, self-service ML ecosystem that accelerates innovation. What You'll Do Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms. Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems. Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance. Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation. • Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps., • Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency, • Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)., • Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow)., • Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems, • Strong communication skills and the ability to work across engineering and data science teams., • Experience with feature stores, vector databases, or large-scale model training., • Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink)., • Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog)., • Contributions to open-source ML/MLOps projects., • GPU optimization (TensorRT, ONNX, vLLM, Triton), • Experience with low-latency audio/streaming systems, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job DescriptionSenior IT & Cloud Infrastructure Engineer Working at Drawbridge At Drawbridge, we are committed to attracting and retaining the best individuals who enjoy working in a dynamic environment. You will be joining an agile team that will help you at every level of your career to identify and use your strengths to grow. This is an opportunity to work at a company that is open to new ideas as we build a dynamic and diverse environment for our employees. The work will be challenging and rewarding. You will gain hands on experience from a team who strives to see its employees succeed. Working in Engineering You will be joining a team of IT professionals who perform tasks ranging from end user support, remote Linux server deployments, DevOps based software deployments, and management of cloud infrastructure and services. In this role, you will primarily administer, support, and secure user devices and applications. You will also be expected to assist senior engineers in cloud infrastructure configuration and supporting our development team. We are always exploring new technologies, so a willingness to learn is a must. We are growing rapidly and are looking to hire a Sr. IT & Cloud Infrastructure Engineer to join our New York City Office. This role reports to the Lead Platform Engineer. Our Values • Innovation: As the market leader, Drawbridge draws on its in-depth, collective expertise in its constant effort to innovate both our platform and our approach to service, • Integrity: Our clients and partners lean on us because they know we are trustworthy and honor what we say, • Collaboration: We are here to win, and we only win when we work together across team, • Diversity: We are inclusive. We honor, respect, and appreciate each other’s differences and perspectives Responsibilities, • Responsible for security-focused deployment, administration, maintenance and monitoring of Windows and Linux server and container environment, • Automate administration and management tasks using scripting and automation tools, • Administration of Azure/AWS cloud environments, • Troubleshooting and maintenance of VDI environment, • Security-focused administration of third-party SaaS solutions, • Assist with responding to security alerts, • Ongoing improvement to overall security posture, • Work with software development team to support infrastructure needs in development, QA, and production environments, • 6+ years of Azure and/or AWS infrastructure administration experience, • Experience with Endpoint and Mobile Device Management solutions, • Experience with Python and/or PowerShell scripting, • Understanding of basic networking concepts, • Business orientated and result driven individual with a desire to grow in a developing company, • Ability to effectively communicate with distributed team, • Self-motivated, comfortable managing a diverse workloadAdditional Qualifications/Pluses, • Experience with Microsoft Defender toolset, • Experience with Linux operating systems, • History working with WSL instances, • Experience with Infrastructure as Code tools, • Familiarity with DevOps tools and practicesWe Offer, • Competitive compensation package, • Employer Retirement/401(k) plan with company contribution, • Medical, Dental, Vision Coverage, Disability, and Life Insurance, • Health Savings Account (HSA) or Flexible Spending Account (FSA), • Generous Paid Time Off Policy, • Tuition Reimbursement, • Healthy Work/Life Balance, • Phone Reimbursement Perk About Drawbridge Drawbridge is a premier provider of cybersecurity software and solutions to the alternative investment industry. Its proprietary platform helps firms exceed and manage their governance, risk, and compliance (GRC) requirements while combatting sophisticated cyber threats and third-party risks. Drawbridge's platform connects business, compliance, and IT to empower firms to centralize and manage their most robust security programs, improve their risk profile, and raise institutional capital. With a tested team focused on value delivery and a 1000+ strong customer base, Drawbridge offers unmatched customer service and flexibility to help businesses proactively manage vulnerabilities, plan for growth, and reduce complexity. At Drawbridge, we are committed to attracting and retaining the best individuals who enjoy working in a dynamic environment. Our Hiring Process We want to hire the most qualified individuals. We’ve designed a multi-step selection process that may include interviews and assessments. We render decisions quickly and we’re eager to get to know you. Affirmative Action and Equal Opportunity Employer Drawbridge Partners, LLC is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, non-disqualifying physical or mental disability, protected veteran status, or any other legally protected characteristic, in accordance with applicable law. All employment is decided on the basis of qualifications, merit, and business needs. Powered by JazzHR eXGTL4Ta8j

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleThis role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. 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 ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.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 requiredWhat 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 SaaSWhat You'll Get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture #LI-HYBRID We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Applecart is the leading technology company creating a new category of "Decision Maker Marketing". The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Senior Software Engineer in our New York office. About the Role: As a Senior Software Engineer, you will play a key role in building and enhancing Applecart's software platforms. Your work will span backend services, cloud infrastructure, and front-end applications, contributing to scalable, high-impact solutions. You will collaborate with a hybrid-remote team of skilled engineers to develop well-architected systems that drive business value, whether through API development, full-stack applications, or infrastructure improvements. Who You Are You are an experienced, adaptable software developer who thrives in an ambitious startup environment. You enjoy tackling complex technical challenges and are comfortable working across different areas of the stack. You are a strong collaborator, working effectively with engineers, product teams, and non-technical stakeholders. You take pride in writing clean, well-structured code and continuously seek ways to improve development practices. What You'll Do • Design, develop, and maintain well-tested, scalable software for backend services, APIs, and front-end applications, • Work closely with engineers, often through pair programming, to ensure high-quality code and system design, • Mentor junior developers, sharing best practices in coding, design, and debugging, • Collaborate with Product and UX teams to refine project requirements and enhance user experiences, • Contribute to architectural discussions and technical design decisions to drive the evolution of our systems, • 7+ years of professional software development experience across backend, full-stack, or infrastructure development, • Strong backend development skills, with expertise in multiple programming languages, • Experience building and deploying cloud-based applications, preferably on AWS, • Proficiency in infrastructure-as-code and DevOps best practices, • Strong technical leadership skills, leading by example in design, refactoring, testing, debugging, and troubleshooting, • Experience designing and implementing complex systems such as SOAs, • Strong computer science fundamentals and knowledge of development best practices (e.g., agile, clean code, test-driven development, CI/CD), • Proficiency in Python as a primary backend language, • Experience with front-end development, particularly React, • Familiarity with data engineering tools (e.g., Apache Spark) is a plus Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - 200,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 8X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Our client is a well-funded, early-stage startup solving one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and ready for production. They are building a platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models. Founded in 2024, the company is already working with leading AI labs like OpenAI and Anthropic, as well as other major enterprises. Their team is composed of top talent from companies like Datadog, Citadel, and McKinsey, and they are backed by founders and executives from tech powerhouses such as Google, Stripe, and Databricks. Our client is seeking a talented Full-Stack Software Engineer to build their AI reliability platform. In this role, you will have a direct impact on how AI is tested, verified, and deployed across the industry. You'll own the end-to-end development of new features, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts. You will also have the unique opportunity to: • Collaborate directly with the research team on safe AI tooling. We are looking for a pragmatic and outcomes-focused problem solver with a passion for building beautiful and intuitive user experiences. Must-Haves: • 4+ years of professional software engineering experience, ideally with a focus on full-stack development - ideally at Senior/Tech Lead level., • Deep knowledge of TypeScript and React., • Proficiency in a backend language such as Python, Go, or Rust., • Experience with relational and NoSQL databases like Postgres, MongoDB, or Redis., • A generalist mindset and a willingness to wear many hats in an early-stage startup environment. Bonus Points: • Experience in product design or as a product manager., • Experience building LLM-based applications (e.g., chatbots, agents)., • Experience with Kubernetes., • Salary: $150,000–$325,000, • Equity: Competitive, • Visa Sponsorship: Available for exceptional candidates Location Our client is a New York-based company with a strong in-office work culture. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Senior Backend Engineer Our client is a late stage SaaS company in NYC that is experiencing significant year over year growth and is in the process of international expansion. They are looking for a Backend Engineer to join their API team and help build the foundation that underpins everything they do as a company. This position can work out of their NYC office or REMOTE. Offices do not re-open until June of 2021. Lucrative compensation package that will include competitive base salary, significant option/equity component, bonus eligibility, fully-paid medical, plus more amazing benefits. Required • Bachelor’s degree in Computer Science / Engineering or related field, or equivalent training, fellowship, or work experience., • 4+ years of software development experience and the ability to learn quickly, • Experience building modern REST APIs using Java, Python, Go, or a similar language., • A methodical and analytical mindset with a strong work ethic, • Ego-less nature, excellent teamwork and communication skills, • Strong sense of ownership and responsibility for the software you build, • You have built complex backend systems used by a team of 40+ engineers., • Having knowledge of Lambda/serverless functions and Docker containerization is a plus., • You are intellectually curious and comfortable learning and experimenting with new technologies