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Job Description We are seeking an experienced Senior Engineer to serve as the technical architect and lead for our Cloud foundation. In this role, you won't be just maintaining systems; you will be defining the future of how our infrastructure evolves. You will own the scalability and reliability of our global platforms while leading the charge into Agentic Infrastructure - leveraging AI to build self-healing, autonomous systems that reduce operational toil. You will act as the bridge between high-level business strategy and deep technical execution, ensuring our Kubernetes-driven environment is not just stable, but a competitive advantage. Please note that this opportunity is located in New York, NY, and requires this hire to work from our office four days a week. What You'll Do • Architectural Leadership: Own the long-term technical roadmap for our AWS/Kubernetes ecosystem. Design and implement multi-region, high-availability architectures that support rapid product scaling., • AI & Agentic Systems: Proactively identify and implement opportunities to use AI/LLMs to build agentic workflows for infrastructure management (e.g., autonomous scaling, automated incident remediation, and intelligent cost optimization)., • Advanced Orchestration: Lead the evolution of our Kubernetes and Istio service mesh strategy, focusing on performance tuning, advanced traffic management, and developer self-service., • Infrastructure as Code (IaC): Set the standard for Terraform/OpenTofu usage, building reusable modules and frameworks that empower the entire engineering organization., • Strategic Optimization: Partner with leadership to manage cloud spend and performance metrics, turning technical efficiency into business revenue growth., • Mentorship & Influence: Act as a force multiplier by mentoring engineers and influencing cross-functional product teams on best practices for Cloud-native development., • Incident Response & SRE: Serve as a high-level escalation point for complex systemic issues, conducting deep-dive post-mortems that drive structural improvements rather than quick fixes. What Makes You a Great Fit? • Deep Technical Mastery: You have extensive experience managing large-scale production environments in AWS, with "black belt" level knowledge of Kubernetes internals, networking (VPC/Direct Connect), and Istio., • The "AI Native" Mindset: You are passionate about the intersection of Infrastructure and AI. You don't just want to monitor a system; you want to build an agent that monitors and fixes it for you., • Proven Track Record: You have 8+ years of experience in Infrastructure, SRE, or DevOps, with at least 2 years in a Senior-level capacity driving cross-team initiatives., • Polyglot Engineering: You are highly proficient in Go or Python, and you're comfortable diving into the application layer (Ruby, Node.js, or Java) to debug performance bottlenecks., • Security-First Philosophy: While this is an infra-focused role, you bake security into the CI/CD pipeline and underlying architecture by default. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $160,000 and $200,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy

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. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub's internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do: • Build and operate scalable data pipelines with robust QA, monitoring, and alerting, • Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company, • Influence the direction for key infrastructure and framework choices for data pipelining and data management, • Contribute to core cross-functional data models, • Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business, • Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team, • 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments, • Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems, • Strong programming and system design skills, • Experience designing and developing large-scale, efficient batch and streaming data processing, • Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights, • Experience mentoring, delegating to, and reviewing the work of junior team members, • Passion for great data end-user experience and stewardship, • Experience with:, • Data pipeline management and orchestration tools, such as Airflow, • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift, • 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: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description At Coinme, we're redefining access to financial services in a digital world. By combining the cutting-edge power of blockchain technology with everyday simplicity, we make digital currencies accessible and usable for all. As the world's largest network of cryptocurrency kiosks with over 40,000 locations nationwide, we're breaking down barriers to crypto adoption through our seamless mobile app, secure digital wallet, and DeFi integrations. Beyond our consumer offerings, we're also the infrastructure powering the crypto revolution for businesses. Through our enterprise Crypto-as-a-Service (CaaS) platform, we enable businesses to launch crypto capabilities in weeks, not months. Our modular, API-first infrastructure provides everything from KYC and payment processing to liquidity and custody solutions—all fully licensed and compliant. We're big enough to lead the charge in decentralized finance but small enough that your ideas will make waves. Every role at Coinme contributes to building a financial future where everyone has the tools to thrive. At Coinme, your growth fuels our mission. Together, we RISE. Claude Code Platform Lead Own the strategy, systems, and training that turn AI-assisted development from an experiment into Coinme's engineering superpower. You will be the central force multiplier for our 35+ engineer organization—building the skills, workflows, and shared infrastructure that enable every team to ship faster and better with Claude Code. This is not a support role. You will directly shape how Coinme engineers build software every day. What You'll Be Working On (Your Impact): • Design, build, and maintain a centralized repository of CLAUDE.md project context files across all Coinme repositories, ensuring Claude Code understands our architecture, coding standards, compliance requirements, and domain patterns out of the box, • Create custom Claude Code slash commands, hooks, and workflows tailored to Coinme's stack—including compliance-aware code generation, automated test scaffolding, and review automation for our CQRS/Event Sourcing architecture, • Implement and manage the GitLab CI/CD integration for Claude Code, enabling automated merge request creation from issues, AI-assisted code review in pipelines, and commit attribution across all engineering teams, • Build and deliver structured training programs to close adoption gaps across the engineering org, with a focus on the highest-leverage skills: headless/CI-CD workflows, hooks and commands, and test-driven development with Claude Code, • Monitor engineering adoption metrics via the Claude Enterprise Analytics API, identify engineers and teams that are underutilizing the tool, and design targeted interventions to accelerate their productivity, • Develop and maintain a living playbook of best practices, prompt patterns, and workflow recipes that codify what Coinme's top Claude Code users (power users generating 5,000+ tool accepts) do differently, • Partner with Engineering Leadership to define proficiency benchmarks, run competency assessments, and measure ROI of AI tooling investment across the organization, • Evaluate and integrate emerging Claude Code capabilities—including MCP server integrations, multi-file editing workflows, and agentic coding patterns—as they become available, • Work within and build tooling for our technology stack:, • GitLab (repos, CI/CD pipelines, merge requests), • Jira / Atlassian (project management, sprint tracking), • Claude Code CLI and VS Code extension, • Claude Enterprise Analytics API, • Java 17+ / Spring Boot / Reactive Java (understanding, not necessarily writing daily), • Kubernetes, Helm, Argo platform, • Multi-repo microservice architectureWhat We're Looking For:, • 4+ years of experience as a software engineer with hands-on production coding experience, • Deep, daily-driver proficiency with Claude Code and comparable AI coding assistants (Cursor, GitHub Copilot) — you should be a power user, not someone who's "tried it a few times", • Experience implementing and integrating with agentic harnesses, e.g. Open Claw, Hermes, Eigent, etc., • Experience building developer tools, internal platforms, CLI utilities, or developer experience infrastructure, • Demonstrated ability to teach technical concepts to engineers at varying skill levels — through documentation, workshops, pairing sessions, or recorded content, • Experience with CI/CD pipeline design and automation (GitLab CI preferred), • Strong understanding of Git workflows, code review processes, and merge request automation, • Experience working with REST APIs for data integration and dashboard building, • Comfort navigating and understanding large, multi-repo codebases without necessarily being an expert in every language or framework, • Excellent written communication — you'll be writing CLAUDE.md files, training docs, and playbooks that need to be clear enough for both humans and AI to understand, • Self-directed and proactive — this is a one-person function where you set the agenda based on data and engineer feedbackNot Required, But Nice to Have:, • Claude Certified Architect (CCA), Foundations credential from Anthropic, • Familiarity with Java / Spring Boot / CQRS / Event Sourcing patterns (Coinme's primary backend stack), • Experience building analytics dashboards or working with usage telemetry data, • Background in DevRel, developer advocacy, or engineering enablement, • Experience in fintech, crypto, or regulated industries where compliance-aware code generation adds particular value

Job DescriptionAVP, Software Development Engineer in Test OTC Markets Group - New York, NY - Full Time OTC Markets Group Inc., operator of premier US financial marketplaces, is seeking an SDET to join our Technology team. As an SDET, you will be part of an agile team responsible for analyzing product functionality, designing test strategies, and executing test scenarios both manually and through automated test frameworks built with C#, TypeScript, and JavaScript. We value curious, persistent, and technically driven people who take ownership of quality and enjoy building industry-standard solutions. If this sounds like you, we’d love to talk to you. We invest heavily in employee satisfaction and offer all our employees a highly competitive compensation package. As a dynamic, growing company that fosters an open culture, we emphasize autonomy, responsibility, innovation, and self-discipline. We are looking for someone who wants to make an impressive impact at a company known for its reputation on quality and achievement. Base compensation for this role is up to $155,000 annually, depending on experience. In addition, the position is eligible for our discretionary annual bonus program and equity. What You’ll Do: • Requirements analysis and cross-functional collaboration with development teams to define test cases and acceptance criteria, • Creation and maintenance of test cases across functional, API, and UI testing levels, • Design, build, and maintain scalable test automation frameworks and scripts for functional, API, and UI testing; continuously improve test coverage, stability, and reliability, • Bug lifecycle management, including defect tracking and reporting for both manual and automated test execution, • Participate in code reviews to ensure test quality and adherence to best practices, • Contribute to the continuous improvement of the product test strategy, • Champion shift-left testing practices by engaging early in the development lifecycle, • Support CI/CD pipeline integration for automated test execution, • Additional responsibilities, as assigned.What We’re Looking For:, • 5+ years of experience in QA and test automation, and/or a Bachelor's degree in Computer Science, • Strong understanding of QA processes, methodologies, and the software development lifecycle (SDLC), with the ability to apply them in daily operations, • Experience producing key test assets: test plans, test cases, test reports, and test coverage metrics, • Experience with software testing types: Functional, Integration, Regression, Smoke, End-to-End, Data-Driven, and User Acceptance Testing, • Proficiency in at least one programming language, preferably C#, • Familiarity with CI/CD pipelines and source control systems such as GitHub and Azure DevOps Git, • Basic understanding of networking protocols (TCP/IP, HTTP/HTTPS, REST), • SQL Server experience, • T-SQL, DDL & DML, • Stored procedures, indexes, views, • Familiarity with web front-end technologies:, • HTML, CSS, JavaScript, • Client-side vs. server-side processing, • Clear understanding of the following tech/tools:, • Automation Languages: C#, TypeScript, JavaScript, • Automation Frameworks: Selenium WebDriver, Playwright, ATATA, NUNIT, • API Testing: Postman, REST Assured, • Backend: .NET Core, .NET Framework, ASP.NET, • Database: MS SQL Server, • Backlog Management & Collaboration: Azure DevOps, Jira, • Code Repository: GitHub, Azure DevOps Git, • CI/CD: GitHub Actions, Azure DevOps Pipelines What OTC Markets Offers its Team Members (Why You Should Choose Us): Benefits: • Generous Paid Time Off (PTO), • Health, Dental, and Vision Coverage, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA) Dependent & Healthcare, • Limited Purpose Flexible Spending Account (LPFSA), • Generous Paid Parental Leave Program, • Annual bonus and Stock Incentive Program, • 401(K) Plan - Retirement, • Commuter Transit & Parking Program, • Income Protection (Life Insurance, Short- & Long-Term Disability), • Voluntary Benefits (Accident, Critical Illness, & Hospital Indemnity)Perks:, • Hybrid Work Schedule, • Class Pass Partnership (Fitness & Wellness Programs), • Citi Bike Membership Program, • Mondays – Breakfast Bagels & Wednesdays – Pizza Lunch, • Office Snacks and Beverages OTC Markets Group Inc. (OTCQX: OTCM) operates regulated markets for trading 12,000 U.S. and international securities. Our data-driven disclosure standards form the foundation of our public markets: OTCQX® Best Market, OTCQB® Venture Market, OTCID™ Basic Market and Pink Limited™ Market. Our OTC Link® Alternative Trading Systems (ATSs) provide critical market infrastructure that broker-dealers rely on to facilitate trading. Our innovative model offers companies more efficient access to the U.S. financial markets. OTC Link ATS, OTC Link ECN, OTC Link NQB, and MOON ATS™ are each SEC regulated ATS, operated by OTC Link LLC, a FINRA and SEC registered broker-dealer, member SIPC. To learn more about how we create better informed and more efficient markets, visit . We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds. Applicants have rights under Federal Law: Equal Employment Opportunity is the Law Polygraph Protection Act FMLA Powered by JazzHR XsEH523fZO

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022)What You'll DoSecurity Platform Engineering, • Design and implement scalable infrastructure supporting HIPAA, SOC 2, and ISO 27001 compliance, • Build and maintain systems for identity, authentication, and access management (Okta / GCP IAM / Auth0/ OPA), • Implement observability and anomaly detection across microservices, data stores, and SaaS platforms, • Establish Zero Trust principles and enforce least-privilege access company-wide, • Develop compliance observability dashboards and automated evidence collectionSecurity Automation & Tooling, • Create self-service security tools that integrate with developer workflows (GitLab CI/CD, Terraform), • Automate onboarding/offboarding, access reviews, and approvals, • Integrate software-supply-chain security (SBOM, dependency scanning), • Develop or adopt AI-assisted security tooling to proactively identify risks, • Automate policy enforcement, SAST/DAST scans, and compliance verificationApplication & Data Security, • Lead threat modeling and security architecture reviews for new products and services, • Partner with product and data teams to embed secure-by-default design patterns, • Ensure encryption, access tracking, and secure data handling across PHI workflows, • Contribute to incident response, post-mortems, and continual improvement of security postureLeadership & Collaboration, • Act as Maven's technical authority for security engineering, • Mentor peers and promote secure coding and architecture practices, • Partner cross-functionally (Engineering, Compliance, Clinical, Legal) to align on security strategy, • Champion an engineering culture of transparency, accountability, and continuous improvementWhat You'll BringRequired, • 8+ years of software engineering experience, including 3+ in security infrastructure or application security, • Proven ability to design and implement large-scale, distributed, cloud-native systems, • Strong coding proficiency in Python, TypeScript, Go and/or Rust, • Deep understanding of cloud security (GCP preferred; AWS/Azure welcome), • Experience with Kubernetes, containers, and infrastructure-as-code (Terraform), • Familiarity with security testing frameworks and secure SDLC principles, • Excellent communication and documentation skillsPreferred, • Expertise in Zero Trust architectures, authentication/authorization frameworks, and data-loss prevention, • Experience with security compliance automation (SOC 2, ISO 27001, PCI-DSS, NIST), • Background in data security telemetry and threat detection, • Familiarity with AI/ML security and AI-assisted analysis tools, • Exposure to supply-chain security and CI/CD pipeline hardening, • Certifications (CISSP, GCP Professional Cloud Security Engineer, OSCP) a plusWhat Makes You a Great Fit, • You take a pragmatic, automation-first approach to solving security problems, • You balance rigor with velocity, enabling teams to move quickly without compromising trust, • You communicate clearly with both technical and non-technical stakeholders, • You're curious, adaptable, and eager to lead initiatives from concept to production, • You care deeply about our mission—building safer, smarter healthcare for women and families The base salary range for this role is $221,000 - $260,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business. This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you'll be doing: • Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake., • Design, extend, and optimize data models across backend systems and the data warehouse., • Ensure data reliability, integrity, and timeliness across all systems and reporting layers., • Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries., • Develop dashboards and self-serve analytics tools for product, clinical, and operations teams., • Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools)., • Integrate and reconcile multiple data sources into a consistent and trusted source of truth., • Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions., • Evaluate and implement tools for data orchestration, transformation, and scaling the data platform., • The team trusts data and uses it daily for decision-making, • Key metrics are clearly defined, consistent, and easy to access, • Data discrepancies are proactively identified and resolved, • New data questions can be answered quickly without reinventing pipelines, • 5+ years of experience in data engineering, analytics engineering, or similar roles, • Strong SQL skills (Snowflake or similar data warehouse experience required), • Experience working with backend systems (Python, Postgres or similar), • Proven ability to build and maintain data pipelines (ELT/ETL), • Experience working with product analytics tools (e.g., Mixpanel, Amplitude), • Strong intuition for data quality and debugging inconsistencies across systems, • Ability to turn ambiguous questions into structured analysis and insights, • Experience with tools like dbt, Airflow, Dagster, or similar, • Experience designing event tracking systems, • Exposure to healthcare or regulated data environments, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description Go-to-Market Engineer Location: New York City (Onsite) Work Model: In-person, Monday–Friday Industry: Security Technology / Enterprise SaaS Compensation: Competitive base salary, meaningful seed-stage equity About the Company Our partner is a fast-growing, venture-backed startup building the next generation of AI-driven enterprise security solutions. With strong early traction, backed by top-tier investors and an elite founding team including hardware engineers from Apple and a Head of Sales who previously scaled Frame.io from ~$2M ARR to acquisition, they're redefining physical security operations. The platform modernizes outdated, human-intensive security workflows by automating incident detection, response, and management, positioning them to become the industry's first truly AI-enabled Global Security Operations Center (GSOC). The Opportunity We're seeking a highly strategic Go-to-Market Engineer to architect, build, and scale the company's foundational outbound and go-to-market systems. Reporting directly to the CEO, you'll serve as a thought partner and technical leader—designing automated workflows, data-driven prospecting systems, and signal-based outreach engines. This role emphasizes technical expertise in building data warehouses, advanced automations, agent-based workflows, and overall pipeline generation infrastructure. You'll also influence revenue operations strategy and help scale the function into a broader growth operations team over time. If you're a builder at heart who enjoys turning raw data and creative strategies into scalable growth engines, this role offers significant autonomy, visibility, and leadership potential as the company enters rapid scale mode. Responsibilities • Architect, build, and manage automated outbound infrastructure, including data warehouse integration, enrichment systems, and advanced workflow automations., • Develop and deploy intelligent prospecting systems leveraging intent signals, competitor follower targeting, and other innovative growth tactics., • Partner closely with the CEO and senior leadership as a thought leader, contributing strategic insights to the company's broader go-to-market strategy., • Establish and optimize internal tools and processes to continuously improve pipeline generation, attribution, and conversion metrics., • Collaborate with future hires to scale the growth operations team, creating foundational playbooks and setting technical standards for execution., • Influence and support revenue operations initiatives, including CRM configuration, analytics infrastructure, and reporting. Requirements • 2+ years of experience in Go-to-Market Engineering, Growth Operations, Sales Operations, or similar roles at high-growth startups., • Deep technical expertise in automated workflow tools (Clay, Apollo, HubSpot, Outreach, or similar), data warehousing, and enrichment platforms., • Proven ability to design and build advanced growth and outbound prospecting systems from the ground up., • Comfortable serving as a strategic thought partner to senior leadership rather than requiring detailed directives., • Experience or familiarity with revenue operations processes, CRM systems, and analytics frameworks., • Located in or willing to relocate to New York City; comfortable working onsite in an energetic startup environment. Nice-to-Haves • Prior experience at a top-tier technology or growth-oriented company., • Background in enterprise SaaS or security technology., • Experience developing ABM programs, advanced signal-driven prospecting, or similar strategies.

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We're Looking For: As a Staff Data Engineer at Datavant, you will lead the design and build of our next-generation patient data platform, developing the distributed data systems and platform capabilities that power secure, scalable, and intelligent use of data across a multi-tenant, multi-cloud environment. This is a hands-on technical leadership role for a software-oriented data engineer who combines strong architectural judgment with deep implementation expertise. You will define how complex data is processed, validated, and served—supporting analytics, product, and AI-driven use cases in a regulated environment. What You Will Do: • Lead the architecture and development of core data platform capabilities, including processing frameworks, storage patterns, and shared services, • Design and implement multi-tenant, multi-cloud data systems with strong isolation, scalability, and operational durability, • Build and operate large-scale distributed data processing systems across batch and real-time workloads, • Define and evolve data lifecycle patterns, including ingestion, validation, transformation, enrichment, and serving, • Establish data quality gates and validation frameworks to ensure trust, consistency, and auditability, • Design systems that integrate with platform infrastructure, including CI/CD, deployment orchestration, observability, and infrastructure automation, • Make sound architectural decisions across performance, cost, reliability, and maintainability tradeoffs, • Lead ambiguous, high-impact initiatives where both problem definition and solution design require ownership, • Contribute significantly to production code, setting standards for quality, testing, and operabilityTechnical Experience:, • Strong candidates will have experience with several of the following:, • Distributed data processing frameworks (e.g., Spark, Flink, or similar), • Cloud data platforms (e.g., Databricks, Snowflake, or equivalent), • Data transformation and modeling frameworks (dbt or equivalent), • Workflow orchestration systems (e.g., Airflow or similar), • Streaming and event-driven systems (e.g., Kafka or equivalent), • Infrastructure-as-code (e.g., Terraform), • 10+ years of experience building data-intensive or distributed systems, with a strong software engineering foundation, • Proven experience designing and operating large-scale data platforms in production, • Deep expertise in distributed data processing systems (e.g., Spark or similar big data technologies), • Strong software engineering fundamentals, including system design, testing, CI/CD, and production debugging, • Experience building systems in cloud environments (AWS preferred), including storage, compute, and security patterns, • Experience designing multi-tenant systems, with a focus on isolation, scalability, and reliability, • Strong understanding of data modeling, pipeline design, and data quality enforcement, • Ability to navigate ambiguity, evaluate tradeoffs, and drive durable technical decisions, • Experience building data systems that support AI-driven use cases, including:, • low-latency data access patterns, • feature generation and ML data pipelines, • iterative, feedback-driven data workflows, • Familiarity with agentic or AI-assisted coding tools, and the ability to leverage them to improve development velocity and code quality, • Comfort operating in environments where AI augments both system design and development workflows, • Experience in regulated environments (e.g., healthcare, finance), • Familiarity with interoperability standards (e.g., FHIR, HL7, or similar) At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$190,000—$230,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Technical Sales Engineer Northeast US Our client, a national construction products manufacturer, is seeking a technical sales professional (Pipe Products) to join their growing team. Primary Responsibilities: Employ technical skills to conduct presentations, develop project specifications and grow project pipeline. Develop and maintain professional relationships with accounts including consulting engineering firms, regulatory agencies, contractors, developers and landscape architects. Manage pipeline using CRM to measure project specific performance. Update continuously to ensure information is timely, accurate and complete. Provide technical and marketing assistance to other team members as needed. Continuously improve technical expertise and knowledge of product line, Competitive products and Civil Engineering infrastructure trends. Acquire and continuously improve consultative marketing and transactional selling skills. Account ownership – own the client relationship and leverage internal support network to deliver solutions. Attend local Engineering functions such as ASCE meetings and participate at local tradeshows. Other duties as assigned. Requirements: Bachelor of Science degree in Civil Engineering, Environmental Engineering, or a related field. Professional Engineer (P.E.) certification is preferred. Minimum 1-year of industry experience; experience specifying stormwater products, technical field promotion, or stormwater regulatory involvement is preferred. Ability to understand the needs of the engineer of record, site owner, and contractor and guide them to the appropriate product solution for each stormwater project. Ability to communicate technical information, concepts, and applications effectively using consultative marketing skills. Proficiency in interpreting civil site plans. Proficiency in Microsoft Office and CRM. Must have a valid driver's license. Ability to travel up to 40% within the assigned region. Consulting or Field Engineers encouraged to apply. For more information, please submit your resume to: Visit our website at Due to the high volume of resumes received, only applicants with SPECIFIC EXPERIENCE requested by our clients will be contacted. All replies are held in strict confidence. MRI Zionsville WILL NOT share your personally identifiable information WITHOUT your permission. Keywords: sales, representative, professional, account executive, account manager, business development, Engineering, civil engineer, construction, sales engineer, building products, professional engineer, public works, DOT, construction materials, precast, concrete, architectural sales, prestressed, walls, floors, columns, beams, hollow core, pre-stressed precast, concrete, architectural sales, PVC, metal pipe, concrete pipe, HDPE pipe, stormwater, sewer, specifying products, waterworks, spec sales, technical sales, filtration, culvert, stormwater, storm sewer, hydraulics, storm, drainage

Job Description Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale. At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity. The Senior Full Stack Engineer, IoT will design, build, and own the end-to-end technology stack powering Fairstead's IoT platform — a proprietary system that connects sensors in our buildings to the data infrastructure that drives operational decisions across the portfolio. This role spans every layer of the stack: from device firmware and network configuration through message brokering and data normalization to storage, analytics, and user-facing applications. This is a foundational hire. Fairstead is building its IoT capability in-house to gain full visibility and control over its technology stack. The Senior Full Stack Engineer will be the technical lead responsible for architecting this platform — designing a modern, open-standards-based infrastructure that Fairstead owns and operates. The work starts with a live pilot and scales to a portfolio of 27,000+ apartments across 28 states. Beyond IoT, this role will help shape Fairstead's broader digital strategy, including integration with property management systems and other enterprise platforms. Responsibilities: • Architect and build Fairstead's proprietary IoT data pipeline from sensor to database — including LoRaWAN network server management, MQTT message brokering, event streaming, data normalization, and persistent storage, • Own the full stack: firmware configuration, network layer, ingestion layer, normalization layer, application layer, and data platform, • Design and implement a normalization framework that is device-agnostic and supports multiple IoT use cases (e.g., leak detection, air quality monitoring, submetering) without requiring schema changes, • Build and maintain application services, APIs, dashboards, and monitoring tools that surface IoT data to operations teams, • Evaluate build-vs-buy decisions across the stack, with a bias toward open protocols, portable data formats, and long-term flexibility, • Manage phased insourcing of platform capabilities — including data migration, device provisioning, and coordination with existing vendor partners during transition periods, • Establish end-to-end observability — monitoring device health, network performance, message delivery, and data integrity across every layer, • Integrate IoT systems with Fairstead's property management stack and other enterprise platforms, • 7+ years of professional software engineering experience spanning backend, frontend, and infrastructure, • Hands-on experience building IoT or connected-device systems — from the hardware/firmware layer through cloud infrastructure and user-facing applications, • Strong working knowledge of LoRaWAN, MQTT, and related IoT communication protocols, • Experience with message brokers and event streaming platforms (e.g., Kafka), • Proficiency in TypeScript/JavaScript and Python; familiarity with additional systems languages (C/C++, Go, Rust) is a plus, • Experience with PostgreSQL or similar relational databases; familiarity with time-series data patterns, • Comfortable with containerized deployments (Docker, Kubernetes) and cloud infrastructure (Azure preferred), • Experience with monitoring and observability tools (e.g., Grafana, Prometheus, Loki), • Familiarity with LoRaWAN network server platforms (e.g., ChirpStack) is strongly preferred, • Strong understanding of data pipeline architecture — ingestion, transformation, storage, and serving, • Demonstrated ability to work autonomously and make high-judgment technical decisions in ambiguous, early-stage environments, • Comfortable leveraging AI-assisted development tools and open to incorporating AI/ML capabilities into the platform over time, • Bachelor's degree in Computer Science, • Prior experience in smart building, proptech, or multifamily IoT companies (e.g., SmartRent, StratIS IoT, Quext, Rently, RealPage, Yardi, or similar), • Experience designing systems with explicit auditability requirements — traceable data handoffs, structured logging, and clear ownership boundaries between layers Salary Range$125,000—$185,000 USD Diversity in backgrounds and experiences is key to Fairstead's success. Being an equal opportunity employer is a central tenet of our philosophy that shapes who we are and the communities we serve. Our goal is to ensure competitive total compensation that is commensurate with experience, location, and other market benchmarks. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at

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 The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $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. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. 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 clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. 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 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're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, 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 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're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, 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 Job Description: Palantir Data Engineer We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP. The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus. Location – Jersey City, NJ Key Requirements • 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms., • 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications., • Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript., • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript., • Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift)., • Deep understanding of microservices architecture and distributed systems., • Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines., • Experience with big data technologies like Snowflake., • Strong problem-solving and performance optimization skills., • Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes., • Experience working in agile environments delivering complex data engineering solutions., • Palantir Foundry certification or demonstrated project experience is highly preferred., • 3+ years of work experience with Data Engineering, • 2+ years of work experience with Palantir, • 3+ years of work experience with Python (Programming Language)

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge .

Job Description FIRM OVERVIEW BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 25 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans! POSITION OVERVIEW BBR Partners is seeking a Data Engineer to contribute to the build-out and ongoing maintenance of our modern data infrastructure, which supports investment, research, and operations capabilities across the firm. This role focuses on building well-tested, business-ready datasets in dbt and Snowflake, translating financial domain logic from legacy systems into clean, documented models that serve teams across the firm. The ideal candidate has a solid technical foundation, an eagerness to grow, and direct experience working with data in the securities, wealth management, or financial services industry. RESPONSIBILITIES • Develop and maintain data models in dbt, implementing tests, documentation, and lineage tracking as standard practice., • Translate business logic from legacy SQL Server systems into clean, tested dbt models as part of ongoing platform modernization., • Build and optimize data pipelines that ingest, transform, and deliver investment, portfolio, and client data across the firm., • Build and optimize analytical datasets in Snowflake to support reporting and business intelligence., • Write and maintain Airflow DAGs, Python, SQL for scheduled and event-driven workflows, following CI/CD practices for deployment., • Collaborate across engineering, analytics, and business teams – integrating into a firm where everyone contributes beyond their lane., • Identify manual or fragile processes and build automated, sustainable replacements. Own problems end-to-end., • Implement monitoring and alerting (Datadog) to catch pipeline failures and data quality issues before they reach stakeholders., • 2-4+ years of experience in data engineering roles., • Required: Strong Python and SQL. Comfortable writing production code, not just notebooks., • Required: Experience with Snowflake or similar cloud warehouse. Working knowledge of SQL Server - able to read and reverse-engineer stored procedures, views, and legacy logic. Hands-on Airflow/Python ETL tooling preferred., • Required: Prior experience working with financial services data. Candidates must demonstrate meaningful exposure to relevant data domains such as securities identifiers (tickers, FIGI, CUSIPs, ISINs), client portfolios, positions and holdings, performance reporting, or fund operations. Experience at a wealth manager, asset manager, hedge fund, or market/alternative data provider strongly preferred., • Comfortable working autonomously with minimal direction. Proactive problem-solver who acts on gaps without waiting for assignment., • Experience with dimensional modeling and data warehouse design patterns., • Able to explain technical tradeoffs to non-technical stakeholders clearly and without jargon., • Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment., • Competitive base salary and incentive compensation., • Company subsidized health, dental and vision insurance for employee, partner, and dependents., • 401K plan, Life insurance, and short & long-term disability coverage., • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings., • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care., • Personalized development and career opportunities., • Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure., • Hybrid remote work environment, "Work from Anywhere" weeks, and casual dress. We value and seek diversity of thought and equity of representation. The environment at BBR is inclusive of all, collaborative and endlessly curious. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution recognized for its strong presence in corporate banking, investment banking, and financial services innovation. The technology division plays a critical role in driving data transformation initiatives across the Americas, supporting enterprise-scale systems and regulatory environments. This team operates in a fast-paced, highly collaborative environment focused on modernizing data infrastructure, improving data accessibility, and enabling advanced analytics across the organization. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data platforms within a global financial services environment, • Exposure to modern cloud-based data engineering tools and frameworks, • Design, build, and maintain scalable ETL pipelines to support enterprise data initiatives, • Develop and optimize data workflows for ingestion, transformation, and storage, • Ensure data quality, integrity, and consistency across multiple data sources, • Collaborate with cross-functional teams including analytics, infrastructure, and business stakeholders, • Enhance performance and efficiency of data systems and storage solutions, • 5–7 years of experience in data engineering, ETL development, or data platform engineering, • Strong proficiency in Python and SQL for data processing and pipeline development, • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or similar platforms, • Experience working with large-scale data environments and optimizing data workflows, • Solid understanding of data modeling, data warehousing, and data quality best practices, • Ability to troubleshoot data issues and implement scalable solutions, • Strong communication skills and ability to work in a hybrid team environment

Job Description📌 About Alpaca Health Alpaca Health enables clinicians to become entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: shift power in healthcare away from large consolidated entities and back to clinicians. We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM. This role is full-time. We’re looking for candidates based in NYC or open to relocating who are open to 5 days a week in the office. 🎯 Role: Full Stack Software Engineer We're a tiny engineering team building something large. You'd be the person who owns the platform foundation — the data models, the money logic, the state machines, the API contracts, the AI infrastructure. Not "owns" in the sense of reviewing PRs. Owns in the sense of: you designed it, you built it, you stand behind it. One day you're designing a schema migration strategy. The next you're building an LLM pipeline for clinical documentation. The day after that you're debugging a billing edge case that only appears when Colorado Medicaid is the secondary payer. This isn't a job for someone who wants to specialize. It's a job for someone who gets uncomfortable when critical business logic lives in someone's head instead of in code. 🚧 What You’ll Own * The core domain model. Patients, providers, credentials, authorizations, sessions, claims, payments. You design how Alpaca represents these things — and how they evolve without breaking what's already in production. * Money invariants. The rules governing how money moves — rate calculations, payout conditions, payroll logic — live in code, not Notion docs. You make them testable and enforceable. * Lifecycle state machines. Patients, claims, authorizations, credentials — each has explicit states and valid transitions. The system physically cannot enter impossible states. * Schema evolution. Migrations run before features ship. Nothing breaks when the model changes. * AI infrastructure. We're already shipping LLM-powered clinical workflows. You build the foundation that makes them reliable, auditable, and safe in a healthcare context. * Security and HIPAA. Access controls, audit logging, encryption. You own the technical posture for a platform handling PHI. * Production. Deploy it, monitor it, and pick up the phone when it breaks at 2am. 🧠 Who You Are You've spent 4+ years somewhere correctness actually mattered — fintech, insurance, healthcare, logistics. You've felt what it's like when business rules are implicit, when the data model doesn't match reality, when someone hot-patches production because the migration wasn't thought through. You don't want to build that system. You think in state machines before you write code. You'd rather ship right than ship fast. You're senior enough to make hard technical calls but you still want to be the one making them in code, not in meetings. Bonus if you've shipped LLM features in production (RAG, evals, guardrails), worked with event sourcing or ledger architectures, or have healthcare/EHR experience. 🚀 Why Join Now The decisions made in the next year — how the domain model is structured, how state machines are enforced, how AI workflows are built safely — will define the system for a long time. You'd be joining after product-market fit but before the platform has fully caught up to the business. Not "rescue a failing system." Build the foundation that lets a working, fast-growing system scale correctly. Founding engineer autonomy, real ownership, and a company that's clearly on its way somewhere. Compensation Range: $100K - $200K

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 The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $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. 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 clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. 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 Overview Related Digital is a leading vertically integrated data center development and investment platform. We deliver digital infrastructure solutions to hyperscale technology companies so they can accelerate artificial intelligence and cloud computing ambitions. Founded by Related Companies, one of the most prominent, privately-owned real estate development firms in the United States, Related Digital uniquely combines Related’s 50-year+ history of executing complex real estate and infrastructure projects with its track record in real estate investing and clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S., Related Digital has the expert capabilities, depth of expertise and national scale to help hyperscale companies significantly grow their data center capacity on a rapid timeframe. Strategic Advantage: Related Digital harnesses expertise across real estate development and investment, data center development, complex infrastructure construction and clean energy development to bring differentiated solutions to hyperscale technology companies. National Footprint: Related Digital is based in New York and Dallas with operations across the United States. Related Companies has offices in gateway cities across the U.S. and London, and developments in 28 states and the District of Columbia, and boasts 4,000 employees. We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at . #RelatedDigital #LI-RB1 #Onsite Responsibilities We are seeking an experienced Electrical Engineer with a strong background in data center design to join our data center procurement team, which supports our growing development pipeline. This team is responsible for establishing equipment standards, evaluating long-lead vendors, and driving technical decision-making that supports OFCI procurement strategies. This individual will play a key role in the design, technical evaluation, and delivery of complex, mission-critical facilities and should have deep experience in high-reliability power systems, redundancy, and large-scale electrical infrastructure. This position will be based full-time at our Hudson Yards headquarters. Responsibilities: • Lead and coordinate electrical design for data center projects from concept through construction, ensuring alignment with procurement strategy and long-lead equipment requirements., • Develop and review power system layouts, single-line diagrams, load calculations, and technical specifications for OFCI equipment such as switchgear, UPS, generators, and PDUs., • Support vendor prequalification, bid evaluation, and equipment standardization across the platform., • Ensure electrical designs meet project performance goals, code requirements, and industry standards (NEC, IEEE, NFPA 70E)., • Collaborate closely with internal project managers, procurement leads, mechanical engineers, construction teams, and external consultants to ensure coordinated technical solutions., • Evaluate utility service requirements and coordinate with local utility providers for medium- and high-voltage service connections., • Review and approve submittals, RFIs, and shop drawings during construction., • Support commissioning activities and validate system performance, redundancy, and reliability., • Participate in value engineering, risk assessments, and constructability reviews., • Stay current on emerging technologies, sustainable energy solutions, high-density cooling/power trends, and innovations in electrical equipment manufacturing. Qualifications • Bachelor’s degree in Electrical Engineering or related discipline; PE license preferred., • 5- 10 years of professional experience in electrical design, with a focus on data centers, mission-critical facilities, or large-scale commercial infrastructure., • Deep understanding of power distribution systems, UPS, generators, grounding, lighting, and fire alarm systems., • Familiarity with power modeling and load analysis software (e.g., SKM, ETAP, Revit MEP)., • Strong technical writing, organization, and communication skills., • Proven ability to manage multiple priorities in a fast-paced environment., • Collaborative mindset and ability to work effectively with cross-functional teams and external partners.

Job DescriptionAbout DuettiDuetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries - including Connor Price, Ingrid Contreras, and Brent Morgan - helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an ambitious, high-ownership environment where your work will have an immediate, tangible impact. Job DescriptionWe're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.You Will: • Own the core models, transformations, and analytics products that drive track and catalog pricing decisions, • Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health, • Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets, • Work closely with Product to design internal tools, workflows, and decision support systems, • Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams, • Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, • Explore and build LLM-powered internal tools that automate data workflowsRequirements:, • 5+ years in analytics engineering or data analytics roles within high-growth environments, • Strong SQL & Python skills for data modeling, transformation, and automation, • Hands-on experience with BI tools (Looker, Tableau, or equivalent), • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders, • A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack, • Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)

Job Description 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're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, 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 Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. About Mark43 Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. Role Overview We are seeking a Software Engineer to join our Integrations team, where you'll help build and scale the mission-critical systems that connect the Mark43 platform to a wide range of public safety tools and services. From 911 call centers to state databases, your work will ensure that vital operational data moves seamlessly and reliably across agencies and jurisdictions. This is a backend-focused role working on APIs, data pipelines, and event-driven systems. This position is remote within the United States, with optional access to our offices in New York or Boston. Mark43 is a remote-friendly workplace with a collaborative and mission-driven culture. What You'll Do If you were part of our team last week, you might have: * Developed a new backend service to sync data between Mark43's platform and a partner evidence management system * Worked with a product manager to define API requirements for a state reporting integration * Participated in a code review for a teammate's work on a Kafka-based message pipeline * Added error handling and observability to improve reliability of a key data feed * Joined a team sync to plan out upcoming roadmap priorities and technical spikes What You'll Need We're looking for a backend-leaning Software Engineer with 2+ years of professional experience building production systems. This level of experience ensures you're comfortable working in an agile team, can ship well-tested code, and are ready to grow your design and architectural skills in a supportive environment. Ideal candidates will bring: * Proficiency with backend programming languages like Java * Experience working with REST APIs, messaging systems (e.g., Kafka, RabbitMQ), or distributed data flows * Familiarity with relational databases and data modeling * A collaborative mindset and the ability to work with engineers, product managers, and external technical teams * A passion for writing maintainable code and solving real-world problems that have critical impact Traits for Success * Curious and resourceful — You enjoy digging into technical problems and figuring out how complex systems fit together * Team-oriented — You communicate clearly and enjoy pairing, reviewing code, and learning from peers * Mission-driven — You care about building technology that directly supports public safety and community well-being Why You'll Love Working Here At Mark43, you'll build technology that directly supports emergency responders and public safety agencies across the country. You'll work on meaningful problems, learn from experienced teammates, and help shape the infrastructure that keeps communities safe. We're a company that values growth, ownership, and trust—and we're excited to support your journey as an engineer. Location This role is remote-friendly within the United States, with optional access to our offices in New York or Boston. Applicants must reside in a state where Mark43 is registered to hire. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ 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 MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. We are seeking a highly motivated and experienced Senior Software Engineer to join our Bruin Software Engineering Team in NYC! The Senior Software Engineer will lead a major platform modernization — migrating a complex legacy enterprise web applications to a modern, maintainable code stack. You will work directly with Claude Code (Anthropic's AI-powered engineering tool) as a core part of your workflow, directing it to generate and validate code while applying your own judgment on architecture and quality. We work across the full stack — cloud infrastructure, APIs, databases, and frontend — and we move fast. We value engineers who take ownership, think deeply, and deliver. ROLE AND RESPONSIBILITIES: • Migration Leadership: Own the end-to-end rewrite of a production enterprise web application to a modern stack (NestJS, React/TypeScript, Temporal.io), executing module by module with backwards compatibility to the existing MSSQL database., • AI-Augmented Engineering: Use Claude Code as a primary tool — directing it to generate, refactor, and validate code while applying your judgment to review output and make architectural decisions., • Full-Stack Development: Build across backend (Javascript, Python, NestJS/Node.js), frontend (React + TypeScript), and data layers (TypeORM + Microsoft SQL Server)., • Workflow Engineering: Migrate legacy BPT-style process flows to Temporal.io, including long-running processes, human task queues, timers, and conditional logic., • API & Integration: Design and maintain RESTful APIs with OpenAPI/Swagger documentation. Manage clean contracts between new and legacy modules during transition., • Cloud & DevOps: Deploy and manage solutions on AWS, Azure, or GCP. Implement and maintain CI/CD pipelines, IaC, and containerised deployments (Docker, Kubernetes)., • Code Quality: Establish engineering standards for the new codebase, conduct code reviews, and write well-tested, maintainable code., • Must be a strong engineer with the fundamentals and judgment to work effectively alongside AI tooling., • 5+ years of professional software engineering with a track record of delivering production systems., • Strong TypeScript/JavaScript and Node.js experience; NestJS or similar backend framework., • Solid React experience building complex, data-driven web applications., • Relational database experience and proficiency with ORM frameworks; MSSQL a strong plus., • Cloud platform experience (AWS, Azure, or GCP) and hands-on DevOps — CI/CD, containerisation (Docker, Kubernetes)., • Comfort reading and reasoning about systems you didn't build — legacy codebase analysis is central to this role., • Openness to AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) as a core part of your engineering workflow., • C# or other strongly-typed backend language experience., • Data pipeline experience (Apache Airflow, Apache Flink, Kafka, or similar)., • Workflow/orchestration engine experience (Temporal.io, Conductor, or similar)., • Figma familiarity — able to work directly from design files without handoff friction., • Experience migrating from a low-code or legacy enterprise platform., • Certifications in AWS, Azure, GCP, or Kubernetes. *The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position ranges from $150,000.00 to $180,000.00 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process. Keywords: #NYC, NYC, #NewYorkCity, New York City, NewYorkCity, Senior Software Engineer, #SeniorSoftwareEngineer, #Manhatten, #ClaudeCode, Claude Code, ClaudeCode, #FullStack, Full Stack, #React, React, #Node.js, Node.js, #Typescript, Typescript, Microsoft SQL Server, #MicrosoftSQLServer, #Telecom, Telecom, #Troubleshoot, #Design, #Engineering, #Javascript MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at

Job Description Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. The Mark43 law enforcement platform delivers mission-critical services to agencies across the country. When our systems are unavailable, real-world safety is impacted. As a Platform Engineer, you will take ownership of critical platform capabilities that ensure our systems are reliable, scalable, and equally important: enable engineers to build, deploy, and operate software with speed and confidence. In this role, you will operate at the intersection of platform engineering and developer experience (DevEx). You will design and evolve internal platforms as products, reducing friction across the software development lifecycle while maintaining strong standards for reliability, security, and compliance. While this role includes opportunities to work on observability systems, prior experience in observability platforms is not required - we value engineers who can learn quickly and apply strong platform fundamentals. You'll use tools like Terraform, Kubernetes, Helm, ArgoCD, and DataDog to build scalable platform primitives and improve developer workflows across the organization. What you'll work on • Owning and evolving Mark43's internal developer platform, focusing on reliability, scalability, and developer productivity, • Building self-service platform capabilities (Infrastructure-as-Code modules, GitOps workflows, golden paths, and onboarding templates), • Improving developer experience (DevEx) by reducing friction in local development, CI/CD pipelines, deployments, and debugging workflows, • Designing and optimizing pipeline-as-code systems to improve build performance, reliability, and feedback cycles, • Driving adoption of GitOps and Infrastructure as Code best practices across the organization, • Leading initiatives to improve operational excellence, including system reliability, resilience, and incident response, • Partnering closely with Product, Engineering, and Security teams to align platform capabilities with business needs, • Owning and delivering large, cross-team platform initiatives that shape how engineers build and operate software at MARK43, • Participating in a shared on-call rotation to support critical infrastructure What we expect from you • 5+ years of experience in Platform Engineering, DevOps, and/or Developer Experience, • Strong experience with AWS and cloud-native architectures, • Deep experience with Kubernetes and containerized systems, • Strong experience with Infrastructure as Code (Terraform) and GitOps (e.g., ArgoCD), • Experience building and optimizing CI/CD systems and pipeline-as-code workflows, • Demonstrated ability to improve developer experience and platform usability at scale., • Strong systems thinking, including tradeoffs between reliability, cost, and developer velocity, • Understanding of security and compliance best practices in cloud environments What sets you apart • You take ownership of complex platform problems, from design through adoption, • You build platforms and abstractions that are adopted across engineering teams, • You proactively identify gaps in developer workflows and drive improvements, • You influence technical direction beyond your immediate team, • You balance developer velocity, reliability, and operational excellence, • You treat internal platforms as products, with a focus on usability and impact Preferred Qualifications • Familiarity with defining SLOs, alerting strategies, instrumentation best practices, • Experience with developer platforms and modern build systems, • Experience improving local development environments (e.g., devcontainers, Docker workflows, Tilt/Skaffold), • Exposure to FinOps practices and cost optimization, • Experience integrating AI/LLM capabilities into developer workflows, such as:, • AI-assisted debugging or incident triage, • Automated incident summaries or developer assistants, • Knowledge of compliance and data governance requirements in regulated environments What you can expect from us • A team that values your ideas, ownership, and technical leadership, • The opportunity to build mission-critical software that directly impacts public safety, • Career growth in an environment that recognizes and rewards impact Our team is distributed across the United States, with offices in New York, Boston, and Manchester, UK. We are a remote-friendly company and support candidates working from approved states. Compensation We believe in equal pay for equal work and transparency in compensation. Total compensation for this role is market competitive, including a base salary range of $140,000–$170,000, plus bonus, equity, and a comprehensive benefits package. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Security Engineer to join our Security Engineering team. As a Senior Security Engineer, you will play a key part in the protection of our most important asset: patient data. The Security Engineering team at Garner is responsible for securing cloud infrastructure, creating secure code guardrails, and maintaining trust with clients. This is a role that will have diverse projects that address multiple areas of security. Where you will work: This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week. What you will do: • Provide technical leadership in securing networks, systems, applications, and databases, • Participate in our Security Engineering on-call rotation to respond to security incidents, • Embed security into the build pipeline through automated SAST/DAST testing and policy enforcement, • Oversee vulnerability management and associated remediation efforts, • Educate engineers and advocate for a Security oriented culture across the engineering organizationThe ideal candidate has:, • 3-5 years in Security Engineering, ideally with at least 2 years in a B2B organization, • Strong proficiency in cloud security (e.g., AWS IAM, GuardDuty, KMS or equivalent), • Experience with Infrastructure as Code, • Background in Application Security and securing RESTful APIs, • Familiarity with modern IAM solutions, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization. What You'll Do • Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production., • Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together., • Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way., • Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles., • Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team., • Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.What We're Looking For, • 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems., • Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises., • Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments., • Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer., • Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows., • Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale., • Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike., • Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.Nice to Have, • Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems., • Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems). 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 DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role: CoreWeave is seeking a Staff AI Security Engineer to define and operationalize security across our AI ecosystem. This role sits at the intersection of AI/ML, cloud infrastructure, and security engineering. You'll build secure-by-default foundations for AI development, agentic workflows, and enterprise AI adoption, balancing velocity with strong security guarantees. You will also partner closely with enterprise security and IT teams to manage AI-adjacent risks across the corporate environment, including shadow AI, data exfiltration through AI tooling, and SaaS security posture for AI-enabled platforms. What You'll Do: • Design and implement security controls across AI/ML infrastructure, including model artifact storage, data lineage and integrity, model signing and provenance, and ML pipeline security (MLOps/MLSecOps), • Develop AI security policies, standards, and threat models covering model development, training pipelines, data ingestion, inference environments, and agentic systems, • Build security guardrails for agentic workflows: tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions, • Lead secure adoption of AI tools across engineering, security, operations, and enterprise functions. Evaluate AI vendors, copilots, and integrations. Define policies for data sharing, model usage boundaries, and sensitive data handling in prompts and outputs, • Partner with enterprise security and IT on AI-related risks across the corporate environment, including endpoint posture, corporate identity, and SaaS security for AI-enabled platforms, • Conduct threat modeling and adversarial testing of AI systems, covering prompt injection, data poisoning, model extraction, and backdoored models. Build and maintain a CoreWeave-specific AI threat taxonomy, • 10+ years of experience in security engineering (cloud, application, or infrastructure), • Experience with AI/ML systems: LLMs, training pipelines, inference systems, or MLOps, • Strong, demonstrable experience building and securing large-scale distributed systems, • Strong coding skills in Go, Python, or similar, • Familiarity with Kubernetes, containerized environments, and cloud platforms (AWS, GCP, Azure), • Understanding of AI-specific threats: prompt injection, data leakage, model misuse, supply chain risks in models and datasets, • Track record of driving cross-team technical initiatives and influencing architecture decisions at the org levelPreferred:, • Experience building or securing LLM-based systems, agent frameworks (LangChain, etc.), or AI-powered internal tools, • Background in adversarial ML or red teaming AI systems, • Experience with secure model deployment pipelines or confidential computing / secure enclaves, • Familiarity with identity and access control systems, • Experience in high-performance or GPU-centric environments Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. 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 The base salary range for this role is $188,000 to $275,000. 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 About the Role Icreon is making a deliberate break from traditional marketing. We're not looking for a marketer who uses AI tools — we're looking for someone who is fundamentally wired as an engineer and applies that mindset to pipeline generation, market presence, and revenue growth. The GTM Engineer owns the systems and workflows that put Icreon in front of the right people, at the right time, with the right message — and builds the infrastructure to make that repeatable and scalable. You will sit embedded with Sales, working directly on account-based pursuits, outbound campaigns, and content that creates commercial momentum. You are measured on pipeline, not impressions. At a Glance Reports To: Marketing Head Location: New York, NY (Hybrid) Structure Individual contributor Type: Full-Time What You Will Own Inbound Pipeline — Design, build, and run campaigns that generate qualified pipeline for Sales. Own the sequencing, targeting logic, messaging, and iteration cadence. Account-Based Pursuit Support — Work directly with Sales on specific account targets. Build personalized outreach, research dossiers, and campaign assets for named accounts Icreon is actively pursuing. Content as a Pipeline Tool — Produce content — posts, articles, case studies, thought leadership — explicitly designed to create commercial conversations, not brand awareness. Every piece has a target audience and an intended next action. SEO and Web Presence — Own Icreon's search presence as a demand channel. Identify gaps, build content against them, and measure what drives inbound from the right buyer profiles. Marketing Infrastructure — Own the toolstack: CRM hygiene, sequencing tools, enrichment, automation, analytics. Build workflows that eliminate manual effort and surface signal from noise. How You Will Operate This role is embedded with Sales — not adjacent to it. In practice that means: • Weekly alignment with Sales on active target accounts and pursuit priorities, • Building and iterating outbound sequences across email and LinkedIn, • Producing account-specific research and personalization assets for high-priority pursuits, • Running content distribution with deliberate targeting, not broadcast logic Experience • 3+ years in a GTM, growth, demand generation, or revenue marketing role — ideally in B2B services, consulting, or technology, • Hands-on experience building and running outbound campaigns with measurable pipeline outcomes, • Demonstrated ability to produce content that drives commercial outcomes, not just engagement, • Systems thinker — you build repeatable infrastructure, not one-off campaigns, • Technically comfortable — you can configure tools, build automations, and connect APIs without needing an engineer, • Strong writer — you produce sharp, specific, human-sounding outreach and content at speed, • Commercially oriented — you understand what Sales needs and translate that into GTM execution This role exists because AI has fundamentally changed what one person can execute. We expect this person to be operating at the frontier of that — not experimenting with it. Specifically: • Prospecting and enrichment — Builds Clay workflows that pull from multiple data providers (Apollo, Cognism, Clearbit), layer in trigger signals (funding events, job changes, tech stack installs, recent news), and output hyper-targeted prospect lists with context baked in — not static CSVs, • Workflow automation — Uses AirOps or n8n to build LLM-powered GTM pipelines: research inputs in, personalized outreach assets out, routed automatically to the right sequence or rep. Reduces manual intervention to near zero on repeatable motions, • Personalized video outreach — Uses HeyGen to produce AI avatar video at scale — personalized prospect videos that don't require a human to record each one. Knows where this converts and where it reads as gimmick, • Campaign and brand content — Uses Higgsfield, Seedance, or Runway to produce cinematic video and visual content for campaigns, LinkedIn, and new business pursuits — at a cadence and quality level that previously required a production team, • AI writing at volume — Uses Claude, ChatGPT, or Copy.ai to produce first drafts of outreach sequences, case studies, LinkedIn posts, and campaign assets fast — then edits for voice, specificity, and commercial intent. Never publishes raw output, • Intent signal routing — Configures tools like 6sense, HockeyStack, or Cargo to surface buying signals and route them into automated outreach or Sales alerts without manual triage, • Primary: Qualified pipeline generated from outbound — volume and conversion into Sales conversations, • Primary: Account-based campaign contribution — % of active Sales pursuits supported with GTM assets, • Content performance — elevation of company leadership, inbound leads from target buyer profiles,, • SEO-driven inbound — organic pipeline from buyer intent keywords Icreon is a digital consulting firm working across strategy, design, and engineering for enterprise clients. This role exists because we believe the intersection of AI and go-to-market is one of the highest-leverage bets a firm like ours can make right now. We're looking for someone who agrees — and can prove it. Powered by JazzHR PPqlxamCCC

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. You built something from nothing. Do it again, within the best frontier AI company in Europe. This is not a job description. It’s an open invitation for people who have founded, co-founded, or led a company and want to deploy Europe’s most advanced AI models inside the enterprises that need them most. We’re not asking for a perfect resume. We’re asking whether you’ve built something real, with real users, real problems, and real constraints. What you will do You join Mistral’s Solutions team. Your mission: take our models and make them indispensable for our enterprise clients. In practice: The personal data you submit as part of your application will be processed in accordance with Mistral AI's Applicant Privacy Policy.

Job DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time) Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization, • Willingness to travel occasionally to customer sites to understand real-world constraints CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000. Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the Role: The Sales Development Representative's (SDR's) main focus is engaging with new prospective customers via outbound activities (email, phone calls, LinkedIn), shining a light on potential challenges they're facing or goals they're trying to address and determining whether DataCamp's solutions can address those needs. Success in this role is highly dependent on your ability to initiate conversations and network from the ground up, the ability to consistently and enthusiastically complete your day to day activities, applying critical thinking in every situation, and your professional persistence. What You'll Do: • Generate interest with your prospects by leveraging all outreach channels: phone calls, email, and LinkedIn, • Work independently and with Account Executives to build your territory account list on a weekly basis via outbound prospecting tools like ZoomInfo, LeadIQ, and Sales Navigator, • Qualify leads with intent, curiosity, respect and a high level of urgency, • Convert conversations, and meetings into qualified opportunities for our team of Account Executives, • Reverse engineer your own conversion metrics to build a healthy pipeline - what activities lead to the best result, how many activities are needed to achieve results, etc., • Keep our CRM (Salesforce) up to date with activity, lead and account information, • Stay up to date on the latest industry trends, DataCamp content, product developments and our customersWhat You'll Bring:, • Ability to multitask, prioritize, and manage time effectively is a MUST, • Resilient and positive attitude - you'll get a lot of "No's" before you get a "Yes" and need to roll with the punches, • Ability to take initiative and reach autonomy in your responsibilities, • Excellent written/verbal communication skills, • Comfortable working in a fast-paced and dynamic environment, • Self-starter who is dedicated, eager, and driven to succeed, • Interest in a career in tech sales, • BA/BS from an accredited university or equivalent, • Some corporate experience (Software or Ed tech sales is a plus)

Job DescriptionAbout zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. The Role We’re hiring our first enterprise Account Executive to convert early market traction into signed contracts. You’ll inherit an active pipeline—dozens of inbound prospects at various stages, including accounts moving toward proof-of-concept—and own qualifying, advancing, and closing those deals while building net-new pipeline on top. This is a founder-adjacent, hands-on role. You’ll partner with founders and our Founding Forward Deployed Engineer on deal strategy and technical validation while owning the commercial relationship end-to-end. Beyond closing deals, you’ll build the sales playbook, processes, and tooling that a future team will scale on.What You’ll Do • Qualify and advance existing inbound pipeline; build net-new pipeline through outbound, network, and events, • Drive complex, multi-threaded sales cycles across Engineering, Data, Security, Procurement, and Executive stakeholders, • Close $150K–$500K+ ACV enterprise deals with consultative, multi-month sales cycles, • Lead discovery and commercial strategy; coordinate with FDE and founders on demos, POCs, and technical validation, • Translate platform capabilities into business and architectural value—frame the problem before pitching the solution, • Shape deal artifacts: pricing proposals, POC success criteria, ROI narratives, and procurement materials, • Define ICP, target account strategy, and outbound sequences based on early deal learnings, • Stand up CRM workflows, pipeline hygiene, and forecasting; document repeatable playbooks and competitive positioning, • Establish early customer references and momentum for future GTM scaleWhat We’re Looking For, • 6+ years of enterprise B2B software sales with a proven track record closing net-new logos, • Experience selling technical, platform-level products (data infrastructure, AI/ML, developer tools, or adjacent), • Demonstrated ability to generate pipeline independently—not just work inbound leads passed from SDRs, • Comfort navigating ambiguous value propositions and long educational sales cycles in new or emerging categories, • Strong executive presence with the ability to lead multi-stakeholder sales conversations across technical and business audiences, • Experience with enterprise procurement, security reviews, and legal processes, • Bias toward ownership, resourcefulness, and action—thrives with minimal structureNice to Have, • Familiarity with enterprise AI, data infrastructure, knowledge graphs, or semantic layer concepts, • Experience as one of the first enterprise sellers at an early-stage startup, ideally building a category or GTM motion from scratch, • Prior SE, Solutions Architect, or technically adjacent background

Job DescriptionDescription: About the Role We are seeking a highly skilled Senior Salesforce Developer to join our engineering team. In this role, you will be responsible for designing, implementing, and maintaining high-performance solutions on the Salesforce platform. We are looking for a developer who prioritizes system stability, data integrity, and the proactive management of technical debt to ensure a sustainable and scalable environment. This role is for off-shore only, Mexico Key Responsibilities • Core Development: Design and develop scalable technical solutions using LWC, Apex (Triggers, Controllers, Asynchronous processing), and modern JavaScript., • System Integrity & Stability: Enforce data consistency through rigorous server-side validation and "defensive" coding practices. Implement robust exception handling and logging frameworks to ensure the platform remains reliable under heavy load., • Technical Debt Management: Proactively identify and refactor legacy code or "quick-fix" solutions. You will be responsible for balancing the delivery of new features with the necessity of maintaining a clean, efficient codebase., • Documentation: Contribute to technical documentation, including architecture diagrams, ERDs, and inline code comments, for the areas you work on. You are not expected to own the full documentation practice, but you are expected to leave your work well-documented so that complex logic is understandable for the rest of the team and future maintainers., • Integration Frameworks: Implement secure integrations using Connected Apps, External Client Apps, and modern authentication protocols to bridge Salesforce with external systems., • Source Control & Deployments: Follow a source-driven (code-first) development approach using Git and GitLab. Our DevOps engineer manages the CI/CD pipeline (Copado / GitLab / Jira), but you are expected to:, • Work comfortably in a source-driven workflow, committing and managing your code in GitLab., • Learn and adopt Copado as the deployment tool to commit and promote changes through our pipeline., • Collaborate with the DevOps engineer on deployment processes and branching strategy., • LWC & Apex Mastery: Advanced knowledge of Lightning Web Components and Apex, with a focus on writing "bulkified" code that respects governor limits., • Data Architecture: Deep understanding of Salesforce sharing models, object relationships, and the Order of Execution to prevent recursion and data contention., • Source-Driven Development: Strong experience with a code-first approach. You build and retrieve using SFDX/SF CLI and commit to version control as your source of truth., • Modern Tooling: Proficiency with SFDX, VS Code, and CLI-driven development., • Accountability: You take responsibility for the stability of your code and proactively address performance bottlenecks or data anomalies., • Sustainable Mindset: You advocate for "doing it right" over "doing it fast," understanding the long-term cost of technical debt., • Detail-Oriented: You believe that code isn't "finished" until it is properly tested, documented, and peer-reviewed., • Experience: 3+ years of Salesforce development experience., • Certifications (Preferred, but not required):, • Salesforce Certified Platform Developer I & II, • Salesforce Certified JavaScript Developer I, • Salesforce Certified Integration Architect, • English Proficiency: Strong written and spoken English required. This role works directly with our US-based team and reports to a tech lead in the US, so clear communication across time zones is part of the daily workflow. Requirements:

Job Description Career Renew is recruiting for one of its clients a Platform Engineer - Crypto - this is an onsite role in NYC/London. Salary range: 250-300K USD yearly plus benefits. We build for the future. Our platform has generated over $550 million in revenue since March 2024 - attracting significant attention in the crypto community. What You’ll Do • Build and maintain our secure CI/CD pipeline integrating security checks at all stages, • Develop and implement infrastructure as code with security best practices, • Automate security scanning and monitoring across our cloud and blockchain infrastructure, • Implement and manage security controls for our containerised environments, • Create and maintain security dashboards and metrics to track our security posture, • Work with development teams to address security findings and improve overall security posture, • Design and implement secrets management and key management solutions Strong knowledge of cloud security (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) & Proficiency with CI/CD tools (GitHub Actions, Jenkins, GitLab CI) Solid scripting skills (Python, Bash, etc.) for automation & strong understanding of network security concepts and implementation. Knowledge of web3 infrastructure, node operation, or blockchain security is a plus

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring a motivated Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. Key Responsibilities • Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways., • Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency., • Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency., • Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments., • Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates., • Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design., • HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards., • Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent., • Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions., • Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation. Preferred / Desirable Experience • Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting., • Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents., • Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration., • Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You’ll be responsible for: * Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. * Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). * Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. * Metric strategy: Work with us to define the key metrics we should be optimizing for. * Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our Founding Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startup’s product and growth. You might be a technical ex-founder or software engineer looking for high autonomy and the opportunity to have a significant impact. Must haves: * Strong frontend-leaning engineering skills. * Strong product sense. * Interest in growth and the business side of things. Preferred haves: * Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.). * Experience with launching or growing products. 🎁 What we offer * Competitive base salary depending on skill and experience. * Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. * Full visa sponsorship. * Opportunity to work with a super smart and ambitious group of people building something people want. * Private medical insurance. * Free meals. Compensation Range: $100K - $250K

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About the Role We are looking for a highly technical Product Enablement Data Engineer to design, generate, and manage realistic data feeds that power our cloud-native cybersecurity and networking platform. In this role, you will focus on traffic generation, attack simulation, SaaS configuration automation, and telemetry validation—ensuring our platform reflects real-world customer environments and behaviors. The Product Enablement team is responsible for unlocking the full potential of our platform through engaging, hands-on learning experiences. You will play a critical role in helping customers understand the technical value of our solution by creating realistic scenarios that mirror real-world use cases. The data feeds you create will be used for various purposes, including demo accounts, sales-led demos, proof-of-value (PoV), sales enablement labs, and other enablement functions. To scope requirements and get feedback, you will collaborate within our team of content developers and lab engineers, as well as product management, engineering, sales engineers, and other enablement teams. To develop and deliver finished products that meet the requirements, you will collaborate closely with our lab engineers and content developers, as well as other data engineers throughout the organization. Unlike traditional data engineering roles, this position focuses on generating synthetic yet highly realistic network traffic and security behaviors to drive product validation, analytics, and enablement outcome.What You'll Do Design Realistic Traffic & SaaS Simulations * Build repeatable simulations of SaaS application traffic (e.g., collaboration tools such as Zoom) * Simulate network conditions including latency, jitter, packet loss, and bandwidth shaping * Develop traffic generation tools and orchestration workflows for scalable, repeatable scenarios Intrusion & Threat Simulation * Design and implement attack simulations aligned with frameworks such as MITRE ATT&CK * Simulate real-world threat behaviors, including: * Lateral movement * Command-and-control (C2) traffic * Data exfiltration * Brute force and credential abuse * Build modular, reusable attack simulation libraries * Validate detection accuracy against simulated attack patterns SaaS Configuration & API Automation * Configure SaaS environments to ingest and process simulated traffic * Leverage APIs to: * Provision tenant environments * Configure policies and product features * Retrieve telemetry and system data * Automate configuration and deployment workflows Cloud-Based Traffic Infrastructure * Deploy and manage cloud environments (AWS and/or Azure) for traffic and attack simulation * Configure VPN connectivity into SaaS-managed environments * Maintain scalable infrastructure for consistent testing and demos Data Validation & Observability * Build dashboards to monitor data integrity, telemetry completeness, and detection behavior * Implement alerting for data gaps or system degradation * Perform root-cause analysis and troubleshoot telemetry or pipeline failures What You Bring Requirements * 10+ years of experience in networking and/or cybersecurity * 5+ years of experience in data, network, or security engineering * Strong programming skills in Python * Experience working with REST APIs and authentication workflows * Hands-on experience with Azure (AWS is a plus) * Experience with Infrastructure-as-Code tools (e.g., Terraform) * Experience generating network traffic using tools such as Scapy, tcpreplay, or iperf * Strong Linux experience, including networking tools (tcpdump, curl, ip, netstat) * PowerShell scripting for Windows automation and system provisioning * Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS) * Experience configuring VPNs and secure connectivity * Familiarity with MITRE ATT&CK or similar frameworks Preferred Qualifications * Networking or security certifications (e.g., CCNA) * Experience building demo or lab environments * Experience supporting enablement or training platforms * Experience with GraphQL APIs * Experience simulating adversary behavior in controlled environments * Familiarity with traffic shaping tools (tc, netem) * Experience with observability platforms (Grafana, ELK, Prometheus) * Background in cybersecurity, SASE, or networking products Why This Role Matters This role ensures our platform behaves as it would in real customer environments—through realistic traffic patterns, authentic attack simulations, and validated telemetry. The environments you build will directly impact how we demonstrate, validate, and deliver our product to customers. Your work will help improve detection accuracy, strengthen product validation, and elevate the quality of our demos and enablement experiences. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-GG1

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

Job DescriptionAbout the Company Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders and servicers to real estate brokerages and home improvement providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. About the Role We’re looking for a Senior QA Engineer to lead quality assurance across Made’s mobile and web platforms. You’ll be responsible for defining scalable QA practices, expanding automated test coverage, and integrating testing into our CI/CD pipeline. This role is ideal for someone who thrives on ensuring reliability at scale, enjoys mentoring teammates, and wants to build QA culture and systems from the ground up. What You’ll Do * Test Strategy: Define, develop, and execute test strategies, plans, and cases to ensure high-quality software releases. * Manual & Automated Testing: Conduct rigorous testing across frontend (Flutter) and backend (Python/Postgres/DynamoDB/Redis) systems. * Automation: Build and maintain automated test scripts using tools like Selenium, Cypress, or Playwright. * API Testing: Validate backend services and integrations with tools such as Postman or RestAssured. * Bug Tracking: Identify, document, and track defects through to resolution in issue tracking systems. * Regression Testing: Perform regression testing for new releases and ensure backward compatibility. * CI/CD Integration: Collaborate with engineers to expand test coverage and integrate QA processes into CI/CD pipelines (Kubernetes/Docker/AWS). * QA Leadership: Mentor junior QA engineers and advocate for QA best practices across engineering. Ideal Background * 5–8+ years of experience in software quality assurance, including senior-level responsibilities. * Strong expertise in test plan creation, execution, and bug reporting. * Hands-on experience with test automation frameworks (Selenium, Cypress, Playwright). * Solid experience with API testing tools (Postman, RestAssured, or similar). * Familiarity with CI/CD pipelines and automated testing within release cycles. * Understanding of backend systems, databases, and cloud infrastructure. * Strong problem-solving skills, attention to detail, and customer-first mindset. * Excellent collaboration and communication skills across teams. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! Nice to Have * Experience working on fintech, credit card, or highly regulated consumer platforms. * Exposure to performance and load-testing tools. * Knowledge of mobile automation frameworks (Appium or similar). * Experience building QA functions in early-stage startup environments. Why Join Made Now You’ll be the senior QA engineer driving quality assurance for a fintech platform serving millions of homeowners. This is a rare opportunity to build and scale QA processes, mentor teammates, and ensure product reliability while working closely with engineering and product leadership. Benefits * Base Compensation Band: $90,000–$130,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $90K - $130K

Job Description Position Type: • Direct Hire, • Must‐Have Technical Capabilities, • Experience with cable ratings and ampacity calculations., • Thermal modeling of underground transmission systems (CYME/CYMCAP strongly preferred)., • High‐voltage systems experience (33kV and above)., • Ability to analyze, troubleshoot, and make design decisions without oversight., • Education & Background, • Bachelor’s degree in Electrical Engineering, Master’s degree is a plus, • Strong engineering fundamentals with demonstrated independent technical responsibility., • Experience in transmission environments (planning, operations, maintenance, or design)., • Preferred:, • Hydraulic pipeline calculations (pressure drop, thermal performance, valve configurations)., • Experience with fluid‐filled cable systems, including maintenance or restoration., • Testing and commissioning of high‐voltage cable systems., • Cross-functional collaboration with utilities, manufacturers, or field teams., • Establish specifications for contracts, review bids, and make or approve field design changes., • Conceive, plan, and design solutions or alternatives for new and refurbishment projects, including technical and economic evaluations, feasibility studies, specification preparation, and long‐term planning., • Perform engineering assignments at the request and direction of other engineering organizations., • Serve as a sponsor engineer and collaborate with design, estimating, construction, testing, maintenance, and supply organizations for underground and overhead transmission line projects., • Prepare project appropriations and direct the preparation of specifications and system designs for the installation and repair of transmission line systems and equipment., • Prepare engineering sketches required to modify systems and monitor construction performed by company personnel or external forces., • Provide recommendations for design improvements related to transmission line systems., • Review preliminary engineering drawings and specifications with user coordinators., • Train and oversee other engineers within the Section., • Promote a positive work ethic in alignment with corporate values, maintain high energy, and demonstrate commitment to environmental excellence and workplace safety., • Provide technical expertise and project management assistance as required.

Job Description Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. The Head of Data & Analytics is a high-visibility, foundational role responsible for establishing the company's single source of truth for data across all functions. Acting as the analytical backbone of the business, you will ensure every critical metric is defined, governed, and reportable from one place — giving leadership the data clarity they need to make fast, confident decisions. You will translate raw data across a modern SaaS stack into a trustworthy, scalable intelligence layer that the entire organization can rely on. This role is designed for a seasoned data leader who excels at building from scratch — someone who can architect a data platform, establish governance standards, and be a genuine strategic partner to senior leaders – not just delivering data, but shaping decisions. You will connect data to business context, identify what matters, and provide clear, prescriptive recommendations. Reporting directly to the SVP of Business Operations, you will own the data infrastructure that underpins our next phase of growth. This role is intentionally hands-on to start. You will personally build and shape the foundation of our data platform while partnering closely with leaders across the business. As we scale, you will have the opportunity to evolve into a player-coach, building and leading a small but high-impact data team. In the first 6-12 months, you will: • Establish a clear, trusted definition of core company metrics across GTM, Product, Finance, and Customer Success, • Reduce reliance on manual reporting by automating high-impact workflows, • Build a scalable data model that connects our core systems into a coherent source of truth, • Enable leadership to access and trust data without needing constant ad hoc support What you can expect as the Head of Data & Analytics: • Build the single source of truth: Audit, rationalize, and own the company's data model end to end — from raw sources through transformation to consumption. Every key metric will have one definition, one owner, and one place to find it., • Identify the highest-impact manual reporting workflows across functions and automate them: Today, much of our reporting lives across spreadsheets and manual workflows, with no single owner of data. One of your first priorities will be to bring structure, consistency, and trust to this environment, and build a self-serve analytics layer that increases data trust and reduces ad hoc requests across the company., • Own executive and board-level reporting: Build and maintain the metrics layer that leadership, the board, and ultimately investors rely on — each defined, documented, and reportable from a single governed layer., • Mature the dbt layer: Partner with engineering team to audit existing dbt models, close gaps, and establish transformation standards that will scale the platform. You won't be coding alone, but you need to be fluent enough to review, direct, and govern the work., • Establish metric governance: Define the operating model for how metrics are created, changed, and communicated — including a cross-functional process for resolving metric disputes and maintaining a company-wide data dictionary that becomes the authoritative reference., • Build a scalable, auditable data foundation: Ensure our data is structured, documented, and fully traceable from source systems to reported metrics. Establish clear data lineage, metric definitions, and governance so leadership can rely on data with confidence as reporting needs become more complex., • Act as a strategic partner to senior leadership: Show up to QBRs, pipeline reviews, and planning cycles with a clear point of view on what the data means and what the business should do next. Be the person who changes decisions — not by reporting the data, but by interpreting it and making actionable recommendations., • Cross-functional data leadership: Partner with all functions to ensure their data needs are captured, while also challenging assumptions, refining questions, and guiding teams toward the metrics and analyses that drive better decisions., • Drive insight and action, not just visibility: Go beyond building dashboards to proactively identify trends, risks, and opportunities across the business. Translate data into clear recommendations and influence leaders on what actions to take — even when it challenges existing assumptions or priorities. To thrive in this role you have: • 7-10+ years in analytics, analytics engineering, or a senior BI role with hands-on data modeling experience, including experience owning or significantly shaping a company's data model or analytics infrastructure, • Experience building and governing a BI layer (e.g., Looker, Tableau): you know what good looks like, what breaks at scale, and how to make a BI tool something people actually use., • Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift): Warehouse management, schema design, cost monitoring — you understand the platform and can make architectural decisions on it., • dbt fluency: You can read, write, review, and govern dbt models. You understand staging, intermediate, and mart layer design, and you have strong opinions about what belongs where and why., • Strong SQL: Window functions, CTEs, and performance optimization are comfortable ground. You write modeling SQL, not just analytical SQL., • Broad business fluency and SaaS literacy: You understand the operational levers of a SaaS P&L - ARR, NRR, churn, CAC, LTV, product velocity, product adoption, as well as financial levers, such as unit economics, financial performance ratios, financial analysis., • Track record of strategic partnership: You have been in rooms with senior leaders and said things that changed decisions — not because you were asked, but because the data told you something important. You elevate data from reporting to a strategic asset that shapes how the company operates and makes decisions., • Comfort operating without formal authority: You can direct an analytics engineer you don't manage, get a VP to prioritize data quality, and get Finance to adopt a metric definition they initially resisted., • Strong prioritization instincts: You focus on the highest-impact problems and avoid over-engineering, balancing speed with long-term scalability.Strongly preferred if you have:, • Experience building from scratch: You have built a data function, a data layer, or a centralized reporting infrastructure at a company that previously had none. You know how to sequence the work and how to manage stakeholder expectations during the build phase., • Salesforce data model familiarity: You understand how CRM objects map to business concepts and how to extract Salesforce data reliably into a warehouse environment., • Product analytics experience: You have worked with Mixpanel or a comparable tool and know how to join event-level product data with CRM and financial data to create a complete picture of customer behavior., • C-suite and investor exposure: You know what executives and investors ask for and what breaks under that scrutiny., • CS analytics background: Experience with customer health scoring, adoption reporting, proactive value engineering, or churn prediction data models, is a meaningful plus., • Background in FP&A, investment banking, or management consulting before moving into data — brings structured analytical thinking and executive communication skills. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $190,000 and $250,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. Why this role exists Billing is where the rubber meets the road for our customers. It's the system that turns a signed contract into an invoice a customer actually pays, and everything that happens in between is harder than it sounds. The Tabs Billing and Payments team builds the systems that generate invoices from contracts, orchestrate payment collection, integrate with ERPs and tax platforms, and ensure that every dollar flows correctly from contract to cash. Contracts have variable pricing tiers, usage-based billing, seat true-ups, mid-cycle amendments, credits, discounts, split invoices, and so much more; we enable our customers to customize their billing models to their business, and abstract all the complexity away. Getting billing right is the foundation of Tabs. A wrong invoice erodes customer trust. A failed payment disrupts cash flow. A broken ERP sync means an accountant spends weeks putting together the pieces to make the books work. We're hiring an engineer who wants to own real systems end-to-end, who's energized by the challenge of making complex financial workflows reliable at scale, and who takes pride in getting the details right. What you’ll actually work on Here are examples of real projects engineers on the Billing and Payments team have owned recently: * Invoice generation pipeline: Built a Temporal-based invoice generation system that resolves billing terms, calculates line items with tiered and usage-based pricing, and assembles invoices - all orchestrated as durable workflows that survive failures and scale horizontally * Invoice finalization and sending: Built the multi-step finalization workflow that takes a generated invoice through address resolution, tax calculatio), ERP sync, auto-credit application, autocharge via Stripe, and email delivery, with built-in retry, compensation logic, and recovery for every step * Stripe integration: Own the Stripe integration end-to-end: setup intents, autocharge with configurable retry schedules, payment method management, the customer payment portal, payout reconciliation, and webhook handling. You’ll work across backend services, data models, APIs and frontend services. You’ll partner closely with Product and Design- quick deskside sessions abound at Tabs! You’re expected to bring opinions to the meetings you join, not just take notes. What we care about You’ll thrive at Tabs if you: * Enjoy owning systems end-to-end, from first design doc to fixing production edge cases weeks later * Care deeply about correctness and long-term maintainability * Are curious about domains you don’t already understand, and are willing to sit with discomfort while you learn * Can disagree respectfully, explain your reasoning and change your mind when the data says you should We’re optimizing for excellent engineers who are good teammates. What we don’t care about as much * Exact years of experience * Whether you’re “frontend” or “backend” by title * Whether you’ve worked in fintech before * Whether you’ve ever seen an invoice If you’ve built scalable systems, shipped real software and learned from breaking prod a time or two, we want to talk. Tabs engineering culture Our core values show up in how we work: * Respect the Domain We don’t shy away from accounting complexity. We dig into the details to build features the right way - even if that means combing through PWC’s revenue recognition guidance on a weekend. * Stay Customer-Centric If accounting teams can’t trust the numbers we produce, nothing else matters. Engineers join customer calls when it’s useful and stay in close touch with Support and Success to understand what customers actually need. We put wireframes in front of real users, get feedback directly from accountants and cut processes that slow us down. You won’t hear “that’s not my job” here; we step in and help where it’s needed. * Innovate In-Person This is an in-office role. We believe hard problems are solved faster together. This comes with perks like weekly happy hours, chess tournaments, soccer leagues, quarterly hackathons and more whiteboards than employees 😉 * Build the Best Vision We’re not copying incumbents; we’re rethinking how accounting systems should work from first principles. We get bright people into a room, debate intensely, disagree, commit and execute with urgency. If we make the “wrong” decision, we pivot quickly and ego-less-ly, document our learnings and move on. We operate in one-week sprints so we can adapt when new information surfaces. * Do What You Say We value clear ownership and follow-through. Engineers who consistently deliver earn trust quickly and see their scope expand fast- not through politics, but by doing what they said they would do. In other words, we’re looking for drivers, not passengers. * Grow from Discomfort This work is hard because we challenge ourselves to ship killer products on tight deadlines. Maybe you will be asked to deliver a feature in half the time you budgeted. Maybe you will need to build a novel frontend experience, even though you’ve been a backend engineer for years. Maybe you will write a technical doc on how to re-architect our reporting backend, 3 years out of school. (All real examples, btw). We’ve learned there are two reactions to this kind of work: “oh s***” and “looks fun, when can I start?” We’re building a team of the second kind. That’s where the growth is. Want a better sense of how Tabs thinks? We share our wins and our mistakes. A few recent blog posts from the team: * * * The stack We care more about how fast you learn than experience with our exact stack! * TypeScript, Node, NestJS * React, Next.js * Postgres * Redis * Temporal for job management Experience * 3–5 years of professional software engineering experience * Experience building web applications or backend services in production * Familiarity with modern backend languages and frameworks * Experience with modern frontend frameworks such as React, Vue, or similar * Experience working with APIs and relational databases Final note If you’re excited by hard problems, care about correctness and want to work with people who are sharp and kind, we’d love to hear from you. If you’re looking for a chill role where you can push some Linear tickets across the board and clock out… this probably isn’t it 🙂 #li-onsite Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $150K - $200K

Job DescriptionAbout Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented. Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it. We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search. We are looking for: We’re hiring an Enterprise Account Executive; a hybrid seller who blends commercial rigor with technical and domain fluency. You’ll break down complex problems, design sharp pitches, and prove value to win rooms of senior stakeholders - CMOs, Growth Leads, Content Managers, and other stakeholders. You’ll sit at the intersection of deal-making and thought leadership, shaping our most exciting opportunities from first intro through final signature. This isn’t just running the sales playbook. It’s part strategist/consultant, part storyteller, part sales engineer; guiding brands through Goodie’s platform, shaping proof-of-value demos, and turning leads into long-term partnerships. Your job is to turn inbound momentum into revenue, and layer in a targeted outbound motion that opens the right doors at the right logos. You’ll team up with existing Goodie team members across Product, Data, and Solutions, and collaborate closely with Agency’s Business Development team to cross-pollinate opportunities and co-sell into strategic accounts. You'll do: * Own the full sales cycle from first touch to close: qualification, multi-threading, executive narrative, solution mapping, value selling, and commercial negotiation. * Run crisp discoveries that map pains to Goodie’s capabilities and design proof-of-value pilots that de-risk decisions. * Turn demand into dollars and crush quota: Prioritize, sequence, and forecast inbound with rigor; build a precise outbound program for a named account list (ABM + events + social selling + partner co-selling). Target: enterprise and upper-mid-market across SaaS, commerce, fintech, health, and media, as well as other relevant industries. * Negotiate deals end to end and close: seamlessly and efficiently drive deals to the finish line and manage the transition process to customer success. You must also Navigate the paper and partner with legal on MSAs/SOWs, SOC 2 posture, DPAs/PII considerations, and security clients’ requirements. * Forecast and manage pipeline like a pro: Keep spotless hygiene in CRM (Hubspot) * Be a force-multiplier: Feed market intel back to Product/Marketing; help craft narratives, ROI maps, and win stories that scale. You have: * 4+ years experience closing enterprise SaaS with large new-business wins (MarTech/Analytics/SEO/AEO/AI or similar data platform experience is a plus). * Marketing Focus: Strong understanding across the gamut of growth & performance marketing * Outbound Acumen: you’ve built named-account plays (signals, sequences, meetings ,multi-thread) and used LinkedIn/Nav/intent tools/partners effectively. * Technical Fluency: comfortable discussing technical specifics * Executive Storytelling: crisp decks and value math, board-safe communication, and strong writing. * Deal leadership: mutual close plans, champions, paper process, competitive strategy. Repeatable and referenceable process management. Bonus/Nice to Haves * Sold to CMOs/Heads of Growth, VP of Marketing, Content, /SEO/AEO Leads at brand-name enterprises. * Prior MarTech, AdTech, SEO/AEO background. * Experience navigating complex SaaS Enterprise deals including security, compliance, RFPs, and RFIs. Benefits and Perks of Becoming a Goodie: * Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities * Health First: Premium Medical, Dental & Vision Coverage * Flex Work Environment: hybrid at HQ and remote globally * Set Up Shop: Home Office Stipend * Recharge Anytime: Unlimited PTO Plan * Family First: Paid Parental Leave Plan * Secure Your Future: 401(k) Plan with Employer Matching * Level Up: Mentorship & Career Growth Support * Always Be Learning: Access to Top-tier Resources & Industry Experts * Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite) * Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans * Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours * Grow With Us: Endless Opportunities to Lead & Succeed * Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is an OTE of $170,000-$200,000. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there! Compensation Range: $200K - $240K

Job DescriptionBDG Media is the company behind Bustle, Nylon, W, Elite Daily, Input, Inverse, Mic, Romper, The Zoe Report, and more. We’re a hybrid company headquartered in New York City with a technology driven strategy. We have an engineering A-Team who pridefully crafts and takes ownership of the software we develop. This includes: Content Management System: A multi-tenant CMS that runs all of our websites and is the foundation of how we scale our entirely human, full-time and US based editorial staff. Enterprise Resource Planning System: Our internal systems are as impressive as our external ones. To survive in Media and scale nine-figures in revenue without waste you have to innovate. Design & Product Development: We know our business, we’ve dialed in our devops and platform, and we have the audience. We’re focused on shipping quality strategy backed product & software. Data & Business Intelligence: Think petabyte scale. We’ve got cutting edge data pipeline infrastructure and easy to learn conventions for using it. Senior Staff Software Engineer (Rails) The role BDG Media is seeking a Senior Staff Software Engineer with expertise in Ruby on Rails to lead, architect and build our Enterprise Resource Planning software, a key driver in automating and optimizing our internal operations and finance and delivering hundreds of millions of dollars in revenue annually. As the ideal candidate, you possess a forward-thinking mindset coupled with a hands-on approach, demonstrating strong ownership and a commitment to delivering impactful results. In this role, you will engage actively in the entire product lifecycle of our enterprise software - from the initial ideation phase through building, deployment, and ongoing enhancement and evolution. This process will involve close collaboration with various stakeholders, including planning, sales, ad ops, and marketing, to ensure that the system aligns perfectly with the operational and financial objectives of the company. Your role is crucial in transforming stakeholder requirements into functional, efficient, and user-friendly solutions.Responsibilities • Lead the architecture and development of our Rails-based internal Enterprise Resource Planning software, a cornerstone in our business infrastructure., • Collaborate with peers to build systems that are modern, intuitive, responsive, and visually appealing., • Participate in the entire product lifecycle, from concept to deployment, and ongoing enhancement., • Implement new functionalities while improving and refactoring existing code., • Drive architectural and solution design discussions, ensuring our infrastructure is efficient, fault-tolerant, and maintainable., • Work closely with a variety of stakeholders, including teams from planning, sales, ad ops, and marketing, to ensure the software aligns with the company's operational and financial goals., • Transform stakeholder requirements into functional, efficient, and user-friendly solutions.Qualifications, • Minimum 5 years of software engineering experience, with a strong focus on Rails., • Demonstrated experience in building and scaling complex applications., • Proficient in designing robust and scalable database schemas and applications., • Adept at making strategic decisions that align with company goals and software development., • Exceptional problem-solving and analytical skills., • Well-versed in software engineering best practices and industry standards. BDG is one of today’s leading global media companies with a portfolio of distinct digital and experiential brands that are shaping culture through its authentic and trusted storytelling. Audiences turn to our brands – Bustle, Elite Daily, The Zoe Report, NYLON, Inverse, Mic, W, Romper, Scary Mommy, Fatherly, and The Dad – to hear from a set of diverse voices around the interests engaging the next generation. Founded in 2013, the Company reaches over 223 million readers and social fans and serves hundreds of the world's largest advertisers. BDG has global offices in New York, Los Angeles, Miami, London, and Paris. 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.