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Job DescriptionCareer Renew is recruiting for one of its clients a Senior Infrastructure Engineer - this is a fully remote role for US based candidates, they need to work EST schedule. Salary range: 170-220K USD yearly plus benefits. Our mission is to transform how money moves. We believe stablecoins will underpin a new financial fabric, one that is faster, more global, and more efficient than today's siloed systems. That is why we are building AUSD and the stack, a full service platform that makes issuing, managing, and integrating stablecoins seamless, whether you're a developer, fintech, or institution. With AUSD, stablecoins become programmable, composable, and ubiquitous by default. We believe digital dollars should be a public good: trusted, accessible, and built for real-world utility. Our mission is to drive adoption through customizable, user-friendly on-ramps that make stable, dollar-based value available on-chain. We're backed by world-class investors including Paradigm and Dragonfly, and we're growing a team to reimagine how value moves online. We're intentional about who we bring on. If you're passionate about stablecoins and want to help create more open, intuitive ways for people to engage with money, let's talk. ABOUT THE TEAM We bring the discipline of high-performance finance teams and the creativity of a fast-moving crypto-native startup. We're a small, mission-driven group of builders who move fast, sweat the details, and hold a high bar for excellence, in product, code, and culture. You'll be joining a tight-knit team that values clear thinking, extreme ownership, and high-velocity decision making. We operate in short feedback loops, support one another without ego, and are deeply motivated by the opportunity to build foundational infrastructure for the future of money. JOB SUMMARY We're looking for a Senior Infrastructure Engineer to design and build our internal platform that empowers product teams to ship software with confidence, reliability, and speed. This role brings a Software Engineering mindset to infrastructure: building reusable abstractions, internal services, developer tooling, and infrastructure primitives that reduce cognitive load for application teams and the Infrastructure team itself. You will own core platform components such as our TypeScript Pulumi codebase, Kubernetes-based runtime environments, and monitoring stack. The work centers on architecting scalable systems, enforcing engineering standards through code, and continuously improving developer experience through well-engineered platform capabilities. We value real-time collaboration and prefer candidates located close to Eastern Time, while welcoming exceptional engineers across Pacific Time through GMT. Regardless of where you are located, your working hours will need to have a majority overlap with ET business hours. BASIC QUALIFICATIONS * 5+ years of professional Software Engineering experience, including substantial work in Infrastructure and Cloud domains * Strong programming skills in TypeScript or another strictly typed language * Strong understanding of distributed systems fundamentals (availability, consistency, observability, fault tolerance) * Experience designing and maintaining infrastructure-as-code systems * Deep understanding of AWS architecture * Experience designing, operating, and scaling Kubernetes workloads * Proven ability to build reusable systems and abstractions rather than one-off scripts PREFERRED QUALIFICATIONS * Experience defining SLI’s/SLO’s, error budgets, and building incident tooling * Experience improving Observability practices, defining alerts, operational dashboards and business metrics * Familiarity with GitOps patterns and deployment automation technologies * Expertise in DevEx or Developer Productivity * Experience building Internal Development Platforms with focus on self-service and golden paths * Experience in maintenance and operations of production-grade systems and on-call rotations

Job Description **This role is hybrid with 3 days a week in our NYC office. This position does not offer visa sponsorship now or in the future. Pinwheel - Building the future of financial services in partnership with the biggest brands "I love my banking app!" said no one, ever. Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We're building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, X Money, Visa and more. If you're excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you. If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you. If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you! Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more. We're hiring a world-class Engineer Pinwheel is looking for a creative product-focused engineer that craves autonomy and impact in their role to work across Pinwheel's entire customer-facing stack. Product Engineering is at the heart of what we do here, and this role will help select and lead impactful projects that touch the surfaces our customers use every day. You'll work on a nimble team, working directly with cross-functional stakeholders across Engineering, Product, and Design, to execute this mission-critical work. You'll focus mostly on back-end engineering work (web-based microservices, customer-facing APIs), with some supporting front-end engineering work as well. Finally, you'll join a team known for high-velocity, high-quality output and contribute to leveling up that team through mentorship and continuous improvement of our processes and standards. What will you do? • Deeply understand our customer needs and design systems to solve them, • Build, scale, and evolve the data models, services, and systems that power our APIs, • Design and ship impactful new functionality in our products, especially focused on our internal and customer-facing back-end APIs, • Maintain and improve our Python-based microservice stack, • Support (and at times lead) the development of new products in the Pinwheel ecosystem, balancing high product velocity with quality and reliability, • Contribute to iterative technical quality: we pay down tech debt while we're working on new projects and expect you to be a leader in the responsible pay-down of tech debt, • Create and improve tooling, processes, and engineering standards across the team, • Mentor engineers and help the team growWhat qualifications are necessary?, • 5+ years of experience building and maintaining back-end or full-stack applications: data modeling, application logic, and API design, • Prior experience working at an early-stage startup or small tech company, • Deep expertise with modern back-end languages/frameworks (e.g. FastAPI, Django, Rails, Gin), • At least some experience working with modern frontend web frameworks (React, Vue, etc.), • Prior experience working on API-based products is a big plus, • Played key implementation roles in projects with multiple teams and engineers, • Desire to learn new systems and technology as our business evolves, • Ability to design systems and evaluate the tradeoffs in scalability, reliability, performance, and maintainability, • Passion for working closely with customers Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey. Build something revolutionary - Help build the products on the bleeding edge of financial services! Belong - Join a community that is passionate and relentless about building fairer financial systems for all. Benefits included: • Great compensation & equity packages, • Full medical, dental, and vision benefits, • Life & short-term disability insurance, • Flexible PTO policy that prioritizes recharge and balance, • Paid parental leave, • 401K for retirement planning, • Mentorship opportunities, • Free Citibike membership The expected cash salary range for this role is $160,000 - $190,000 base. Diversity & Inclusion at Pinwheel At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.

Job Description Maxana is seeking an experienced Backend Engineer for a confidential client — a well-funded AI platform company used by ML teams globally. In this role you will own features end to end across APIs, CLI tooling, billing systems, and platform integrations. The team is small and senior, the engineering bar is high, and you will work directly with product and engineering leaders. Key Responsibilities • Write clean, efficient, production-grade code in Go (Golang), • Build and scale APIs, CLI tools, billing systems, and security integrations, • Set technical direction for large projects alongside engineering and product leadership, • Evaluate and strengthen technical architecture, tooling, and processes, • Champion software quality, drive continuous delivery, and proactively reduce technical debt, • Mentor engineers on system design and operating in high-uncertainty environments Requirements • 5+ years of production Go experience in a SaaS environment, • Broad knowledge of backend and frontend systems — APIs, CLIs, billing, security protocols, • Experience with cloud platforms: AWS, GCP, or Azure, • Familiarity with containerization — Docker and Kubernetes a strong plus, • Prior startup or high-growth company experience required, • Competitive base salary + equity ($110,000–$270,000 range), • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working for a globally recognized company

Job Description About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. We work with PE-backed businesses and Fortune 500 clients across industries. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with a world-class engineering team that implements custom end-to-end AI solutions, and a world-class business team that provides AI advisory services. We are building a rapidly growing business at the forefront of applied AI and work with some of the largest PE firms in the world. This is a company for intellectually curious and team-oriented individuals looking to make an impact from day 1. About the role The fastest way to learn how AI will reshape businesses is to go inside and analyze dozens of them. As an Associate Principal, you will be the intellectual core of our AI due diligence practice: assessing disruption risk and value creation opportunities across industries, interviewing management teams, and presenting findings to PE clients. In a given quarter you’ll see inside 4-5 companies and develop pattern recognition that no other role in the market can offer. That exposure is the best preparation to become a Fractional AI Principal - the person PE firms call first when they want AI advice for their portfolio companies. Between diligences, you’ll work alongside our Principals on live deals, proposals, and PE relationship building. Within 6-12 months, you’ll be expected to start leading your own deal pursuits. This is not a quota-carrying role, but is designed to grow into one. What you'll do * Lead diligences end-to-end. You are 100% dedicated to each engagement while the Principal and AI Architect are splitting time across deals and accounts. That means you are the connective tissue: you keep the POV sharp, prep the team before every interview, and make sure the Principal walks into a client readout fully armed. You own the day-to-day across desk research, POV generation, interviews, management meetings, and deliverables * Support live deals and account management. You will work alongside Principals on active sales processes: participating in discovery calls, shaping proposals, and helping manage existing customer relationships * Build your private equity network. Through diligences and deal support, you will build relationships with investors and portfolio company executives * Be a high-utility player. As an early-stage company, the work extends beyond diligence. You may support adjacent work streams like partnership development, conference strategy, or internal tooling and process improvement What you bring to the table * AI-native: you are genuinely interested in AI and have a working understanding of what generative AI can and can't do. You don't need to be an engineer, but you need to be credible in a room with one * Strong analytical horsepower: you can quickly ramp up on an unfamiliar industry, identify what matters, and form a defensible point of view. With experience, you will quickly pattern match new project context to previous ones to accelerate time-to-value for clients * Relationship-building instinct: you naturally build rapport with senior stakeholders and are energized (not drained) by client-facing work. You don’t need a sales background, but need to want one * Excellent communication skills, written and verbal: you can translate technical AI concepts into business language that resonates with PE deal teams * Comfort with ambiguity and high ownership: the diligence window is tight (2-4 weeks), and you'll need to drive the work forward without waiting to be told what to do * Low ego, high resourcefulness: you are both a doer and a strategist * 5-8 years of experience in strategy consulting and/or early stage tech sales experience. Bonus: private equity, investment banking Snapshot of your first 3 months * You have participated in 3-5 diligences alongside our Principals and AI Architects, progressing from supporting role to execution lead * You are independently driving POV generation, interview prep, and deliverable drafting on active engagements * You have participated in live sales or account management conversations alongside a Principal, and are starting to understand how we scope, price, and position our work * You've identified at least one area where you can improve how we operate (process, tooling, templates) and have started making it better Why you should (and shouldn't) join us We believe in transparency and know joining a company is a big decision. We're not the best fit for everyone and try to be clear on what we are and what we're not so you make the choice that's right for you. Why join Fractional? * We are filling a massive gap in a massive market: AI diligence is a new category, most PE firms haven't done it before, and there are very few firms offering it. You will help define what this looks like * We have real momentum and demand: PE firms know our name and are calling us when they need help. Our revenue has already tripled year to date and our go-forward targets are incredibly ambitious and attainable at the same time * A front-row seat to the AI revolution: In a given month you will assess 3-5 companies across different industries and evaluate how AI will reshape each one. The pattern recognition you build will be world-class * A clear growth path: This role is designed to grow into a Principal. You will learn the full lifecycle: diligence delivery, sales, contracting, and client relationship management Why shouldn't you join Fractional? * We are unapologetically building an engineering-first culture. This is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive * We are a professional services business. You will spend your time with customers advising, not building a product * We are in-person. We're committed to building an in-person team in San Francisco and New York. This enables us to learn faster together. For the right person, this is a pro, not a con, but it's non-negotiable * We meet our clients where they are. As in-person collaboration is non-negotiable internally, the same applies externally. You should expect to travel about 1-2x a month Our Values We overdeliver. We overuse AI. We "over engineer" the culture. Location San Francisco, CA New York City, NY Work Arrangement: 4 days in-person, Fridays remote Department Commercial Compensation $160,000 - $220,000 + equity Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills 📈 401k with Matching: Invest in your future with our company-matched retirement plan 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy 🚑 Health FSA: Manage out-of-pocket health expenses effectively 🚌 Commuter Benefits: Make your travel to work easier and more affordable 🏥 Life Insurance: Providing peace of mind for you and your loved ones 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit

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 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 Principal Product Manager for Developer Experience to define and drive the roadmap for our internal developer platforms and delivery tooling. You will work closely with engineering leaders in Common Services (Dev X Delivery, Dev X IDP, Cloud Experience, Observability, Data Services) and partner orgs to understand where engineers are losing time, translate those pain points into clear problem statements, and deliver opinionated solutions that scale. Your focus will be on measurable improvements to developer productivity and software delivery outcomes, not feature checklists. You will spend your time deeply embedded with engineering teams: mapping workflows from code to production, identifying friction, defining metrics, and collaborating on designs that make the "right way" the easy way. You'll own prioritization across competing stakeholders, communicating tradeoffs and long-term bets while still delivering incremental value along the way. In this role, you will: • Own the product vision, strategy, and roadmap for internal developer experience platforms (e.g., CI/CD, internal developer platform, delivery tooling, golden paths)., • Partner with the broader Product team on product prioritizations, broad product strategy, and shared goals., • Partner with engineering leads in Common Services, IaaS, Security, and Customer Experience to identify and prioritize high-value problems across the software delivery lifecycle., • Run structured discovery with internal "customers" (engineers, managers, SREs, TPMs) to understand workflows, constraints, and recurring pain points., • Define clear problem statements, success metrics, and hypotheses for DevX initiatives (e.g., lead time for change, deployment frequency, MTTR, onboarding time)., • Write concise, technically rigorous PRDs and collaborate on design docs that align DevX, platform, and security requirements., • Manage and prioritize backlogs across multiple teams, balancing foundational platform investments with near-term developer pain and compliance/operational needs., • Partner with engineering to plan increments, sequence rollout, and ensure we ship changes that are observable, operable, and reversible., • Drive adoption of DevX tooling through documentation, enablement sessions, and feedback loops; treat communication and change management as part of the product., • Instrument and review usage analytics, satisfaction surveys, and delivery metrics to assess impact and guide iteration., • Champion a "platform as a product" mindset: opinionated defaults, self-service where possible, and strong API / UX contracts for internal customers.Who You Are:, • 5+ years of experience in product management for developer platforms, internal tooling, infrastructure, or closely related technical products or equivalent experience as an engineering manager / tech lead / staff+ engineer working deeply with CI/CD, internal platforms, and developer productivity., • Proven ability to translate ambiguous engineering pain into structured problem statements, requirements, and prioritized roadmaps., • Demonstrated experience owning roadmaps for internal developer or platform products and delivering measurable improvements to developer workflows (e.g., reduced lead time, increased deployment frequency, improved onboarding time)., • Strong technical fluency with modern software delivery stacks (CI/CD pipelines, version control, artifact management, observability, configuration management, infrastructure-as-code)., • Experience working with and designing APIs and backend services (REST/gRPC), and an understanding of how developer interfaces (CLI, SDKs, IaC, consoles) fit together., • Hands-on experience collaborating with engineering teams that use Kubernetes or other orchestrators, microservices, and cloud-native architectures., • Comfort using data and metrics to prioritize work, make tradeoffs, and evaluate outcomes., • Experience leading cross-functional initiatives across multiple teams or orgs, including driving alignment, decision-making, and follow-through in a fast-paced environment., • You love making other engineers' lives better and can point to specific systems or tools you've improved for them., • You're curious about how code really gets to production—tooling, process, and culture—and enjoy untangling that complexity., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About Our Client Our client is redefining the infrastructure behind one of the largest and most complex markets in the world: OTC derivatives. This market moves trillions of dollars daily, yet much of the underlying technology has remained largely unchanged for decades. Our client is building a modern, AI-native platform designed to power the next evolution of financial services—combining deep financial engineering with a modern cloud stack and world-class developer experience. The founding team comes from tier-one banks, hedge funds, and trading firms, where they previously built and operated some of the most sophisticated systems in the industry. Today, they are applying that expertise to create infrastructure capable of processing the most complex transactions across global financial markets—at scale, with precision, and with a focus on long-term impact. Their clients include some of the most sophisticated banks, hedge funds, and asset managers in the world. The problems are technically challenging, the data is dense, and the systems being built will influence how this market operates for decades. Technology Environment This is a modern, cloud-native engineering organization: * Serverless, cloud-native architecture by design * Infrastructure as Code (IaC) * Backend services written primarily in Python and Java * Frontend built with TypeScript and React * Heavy use of modern AI tooling and foundation models * Fully automated SDLC with rapid, intraday deployments * Strong emphasis on reliability, observability, and developer velocity About the Role As a Financial Engineer, you will play a hands-on role in building and scaling analytics and models for OTC derivatives across asset classes. You'll focus on translating complex financial instruments into robust, production-grade systems—owning everything from pricing logic to trade lifecycle workflows. This role sits at the intersection of financial engineering, software engineering, and modern AI-enabled infrastructure. You'll collaborate closely with platform engineers, AI engineers, and domain experts to integrate models into a broader capital markets platform used by institutional clients. This role is onsite in New York City. What You'll Be Working On * Modeling OTC derivatives from vanilla to exotic products across asset classes * Implementing trade lifecycle logic, including: * Cash flow calculations * Position management * Trade state transitions * Designing and validating pricing and analytics workflows * Integrating financial models into scalable backend services * Collaborating cross-functionally with engineering, product, and domain specialists * Ensuring accuracy, transparency, and robustness in financial calculations Required Qualifications * Bachelor's degree in Financial Engineering, Computer Science, Mathematics, Physics, or a related field * Practical experience with: * Quantitative modeling * Statistics and linear algebra * Financial data analysis * Strong understanding of derivatives and financial engineering concepts * Proficiency in Python * Strong problem-solving and communication skills * Ability to work effectively with cross-functional engineering teams * Willingness to work onsite in NYC Bonus Qualifications (Nice to Have) * Deep expertise in OTC derivative pricing and modeling across multiple asset classes * Familiarity with ISDA concepts and data models (e.g., CDM, FpML) * Strong understanding of: * Trade lifecycle management * Position and exposure management * Experience implementing or validating pricing models in production * Knowledge of collateral management, margining, and settlement processes * Experience with electronic trading and protocols (e.g., FIX, clearing workflows) * Exposure to Generative AI applications in finance (e.g., OpenAI, Anthropic, Gemini) Why This Role Stands Out * Work on foundational infrastructure, not surface-level features * Solve genuinely hard problems at the intersection of finance and technology * Join a team with deep domain credibility and long-term vision * Build systems that will shape how institutional markets operate in the future About Nxt Level Recruiting Nxt Level Recruiting partners with high-growth, venture-backed companies to help them build world-class engineering and leadership teams. We specialize in identifying top-tier talent for technically demanding roles where precision, ownership, and impact matter.

Job Description Rumble is a high-growth video platform and cloud services provider that is creating an independent infrastructure. Our mission is to restore the internet to its roots by making it free and open once again. About the Role Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams. Key Responsibilities * Operate and maintain Rumble Cloud's Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API. * Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform. * Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues. * Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis. * Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades. * Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations. * Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform. * Automate repetitive operational tasks using scripting and infrastructure-as-code tools. * Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support. * Provide feedback from operations and customer interactions to influence platform improvements and product roadmap. Required Skills & Experience * Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments. * Practical experience with installing, operating, and troubleshooting Kubernetes in production environments. * Experience working with Kubernetes on OpenStack or other cloud providers. * Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly. * Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd). * Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers). * Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks. * Familiarity with configuration management and IaC tools such as Ansible and Terraform. * Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar). * Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders. Nice to Have (Preferred Skills) * Experience with OpenStack Magnum and its Kubernetes integrations. * Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE). * Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes. * Understanding of application architectures on Kubernetes, including microservices and 12-factor applications. * Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads. * Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning). Qualifications * Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team. * Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset. * Passion for continuous learning in Kubernetes, cloud-native tooling, and automation. Annual Compensation Range: $175,000 - $220,000 USD base + benefits + equity (If based in the United States) Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization. Why Our Team Loves Working Here: • We are making a significant financial impact for our video creator community; we're proud of their success stories, • We enjoy challenging the status quo and going head-to-head against Big Tech, • We aren't afraid to try new things; we act fast and want to win Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Job DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role As an early member of our engineering team, you will significantly influence the technical direction of Flow. We are in search of a Senior Platform Engineer who is not only enthusiastic about designing, developing, and deploying robust platform solutions but also committed to ensuring the reliability, scalability, and security of our system. Your contributions will be foundational in driving Flow towards achieving its goals and making a huge impact on the productivity of our product engineering team. At Flow, our mission is to utilize cutting-edge technology to enhance decision-making processes across the organization. As innovators in our domain, we aim to not only keep pace with the rapidly changing landscape of platform engineering but to be at the forefront of its evolution. Responsibilities: • Collaborate with product and engineering teams to define clear requirements and translate them into software solutions, • Core contributor to implementing foundational infrastructure, tooling and automation that is scalable, reliable, and secure, • Elevate site reliability engineering best practices while collaborating with back-end developers, • Develop service-level tooling to enhance productionization, data migrations, system hardening, and related initiatives, • Manage and optimize a multi-region environment, • Be available for on-call activities for infrastructure and servicesIdeal Background:, • A minimum 10 years in software engineering, site reliability engineering, or platform engineering, • Ability to design, implement and maintain the tools and systems that support service reliability, monitoring, and alerting, • Deep understanding of the principles of ensuring high availability, fault tolerance, and efficiency in distributed systems, • Experience with Infrastructure as Code (IaC): Proficiency with Terraform, • Experience with Kubernetes, • Experience administering cloud-based infrastructure (GCP preferred), • Experience troubleshooting production issues related to cloud infrastructure, configuration, monitoring, deployments, continuous integration and delivery, • A keen ability to balance elegant design with pragmatic tradeoffs, prioritizing continuous delivery of business value, • Ability to quickly learn and adapt to new skillsets, • Experience building software in fast-moving startup environments

Job DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a Staff DevOps Engineer at Superstate, you'll be responsible for building and maintaining highly reliable, scalable infrastructure that powers our financial products. You'll architect robust systems that ensure our platforms deliver exceptional performance, availability, and security at scale. You’ll be wearing many hats across general devops, security, observability, and reliability and help lead these initiatives.What you'll do • Design and implement scalable, fault-tolerant infrastructure for our web applications and blockchain systems, • Build and maintain CI/CD pipelines, deployment automation, and infrastructure as code, • Develop comprehensive monitoring, alerting, and observability systems to ensure system reliabilityLead incident response efforts and conduct post-incident reviews to improve system resilience, • Implement security best practices across all infrastructure and deployment processes, • Collaborate with engineering teams to optimize application performance and reliability, • Establish SLIs, SLOs, and error budgets to measure and improve service reliability, • Automate operational tasks and reduce manual toil through tooling and process improvements, • Manage capacity planning and cost optimization for cloud resourcesWhat you'll bring to the team, • Bachelor's degree in Computer Science, Engineering, or related technical field, • 8+ years of professional software engineering or infrastructure experience, • Extensive experience with AWS cloud services and infrastructure management, • Extensive experience with infrastructure as code (Terraform, Pulumi), • Strong background in systems engineering, networking, and distributed systems, • Expertise in containerization and orchestration (ECS, EKS)Proficiency in languages (Java, Go, Rust, or similar) for automation and tooling, • Deep understanding of security principles and secure infrastructure practices, • Experience with high-availability systems and disaster recovery planning, • Exceptional problem-solving skills with a reliability and security focused mindsetBonus points if you have experience with these technologies, • Microservices architecture and service decomposition strategies, • Observability tools (Prometheus, Grafana, Sentry, etc.), • Database administration and optimization (PostgreSQL, Redis, AWS RDS), • AWS security services (GuardDuty, Security Hub, WAF, Shield, Config), • Cloudflare optimization and security configurations, • Github Actions workflows and deployment strategies, • Compliance automation for financial services (SOC2, ISO, PCI DSS), • Chaos engineering/resilience testing and reliability best practicesBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave, • Full medical, dental, and vision insurance

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionAs a Senior DevOps Engineer at Regard, you’ll scale and secure the infrastructure behind our healthcare AI platform. You’ll design, build, and own systems that make our applications reliable, secure, and easy to deploy, both internally and within customer environments. You’ll collaborate with engineering and customer IT teams to deliver seamless integrations, drive automation, and champion DevOps best practices. As a senior engineer you’ll lead initiatives, set technical direction, and mentor teammates, all while keeping our infrastructure resilient and future-proof. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.Our Tech Stack: • Backend: Python (FastAPI, Flask), PostgreSQL, Redis, Celery, • Infrastructure & DevOps: Docker, Kubernetes (EKS), AWS (SQS, SNS), GitLab CI/CD, ArgoCD, DataDog, OpenTelemetry, PulumiResponsibilities:, • Automate workflows and CI/CD pipelines to speed up delivery and reduce manual toil, • Build automated testing frameworks that ensure every deployment is reliable at scale, • Strengthen our security posture by implementing controls, conducting audits, and applying remediations, • Lead and support client integrations, ensuring smooth deployments into healthcare IT environments, • Evaluate and implement new tools, sharing best practices across the team, • Act as a technical leader and mentor within the DevOps teamMinimum Qualifications:, • BS in Computer Science or equivalent experience/certifications, • 5+ years of experience in a DevOps, SRE, or similar role, • 3+ years of hands-on Kubernetes experience, • Proficiency with Python scripting, • Deep experience with Infrastructure-as-Code (e.g., Terraform, Pulumi), • Expertise with CI/CD pipelines and tooling (e.g., GitLab CI), • Proficiency with observability systems (e.g., DataDog, OpenTelemetry), • Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)Preferred Qualifications:, • Experience with compliance frameworks (e.g., HIPAA, SOC 2, HITRUST), • Expertise with GitOps tools (e.g., ArgoCD, FluxCD), • Passion for leveraging AI in engineering and healthcareHybrid Work \u007C Location \u007C Work Authorization, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City, Los Angeles, or San Francisco metro areas, • Our expectation for this role is to be in the office 2 days per week. We may request more frequent in-office work during the onboarding period and team onsite weeks, • For those who enjoy working from our LA or Manhattan offices on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp \u007C Perks \u007C Benefits, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Monthly health & wellness budget, • Company-sponsored team retreat + social events, • A sabbatical programAt Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $165,000 to $210,000. This is subject to change and may be modified in the future. We encourage all interested candidates to apply. Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace. All candidates must successfully complete a background check as part of the hiring process.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Technical Product Manager, Data Infrastructure in our New York office. About the Role: You will be responsible for defining and driving the product architecture, roadmap, and prioritization for data lakehouse architecture in alignment with Applecart's business and data practices. Additionally, be the champion for best practices in release engineering, observability, and data governance. In this position, you will work with the data infrastructure, research, and measurement teams. This role will report to the Director of Product Management. What You'll Do: • Define and lead the product vision for core areas of Applecart's internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution., • Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist and legal teams., • Translate data consumption/ creation, internal use cases, and stakeholder feedback into clear, structured product requirements., • Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt., • Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike., • Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation., • 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments., • Experience owning platform, infrastructure, or customer data products in a data-rich environment., • Strong written and verbal communication skills., • Impeccable attention to detail and superior organizational skills., • Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases., • Familiarity with data observability platforms or privacy and compliance frameworks., • Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines., • Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures., • Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning., • Familiarity with Git-based code management and SDLC workflows., • Experience driving adoption of observability and monitoring practices across infrastructure products., • Deep understanding of data governance, including data security, privacy regulations, and compliance standards., • Prior experience as a software or data engineer is a plus., • Experience with AI/ML workflows is a plus. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionAbout SmartAsset SmartAsset is the largest investor-to-advisor marketplace in the U.S. We help millions of consumers make smarter financial decisions and connect high-intent investors with vetted financial advisors through our Advisor Marketing Platform (AMP). SmartAsset is building an AI-native growth engine to serve the advisor ecosystem with our high intent referrals and marketing automation tools. For the right B2B marketing leader, this is an opportunity to architect and scale the go-to-market motion for a category-defining platform. If you're motivated by building systems that compound, influencing an entire industry, and turning strategic partnerships into measurable revenue, SmartAsset offers both the platform and the mandate to do it. About the Job SmartAsset is expanding its B2B marketing engine with an AI-native, systems-first approach. We are hiring a GTM Engineer to work directly with the Director of Advisor Marketing to build and scale the technical infrastructure that powers advisor acquisition, lifecycle automation, and revenue attribution. This is a technical growth role. You will use automation, scripting, CRM logic, paid platform tooling, and LLM workflows to accelerate experimentation, reduce manual work, and compound performance across the funnel. If you think in systems, enjoy building automations, and want to replace manual marketing processes with scalable infrastructure — this role is for you. Responsibilities • Build and maintain marketing automation workflows across CRM, email, paid platforms, and lifecycle tools, • Implement and optimize multi-touch attribution and revenue tracking, • Develop paid media automation using scripts, rules, and platform APIs, • Partner with the Director to deploy structured experimentation across landing pages, outbound, and paid campaigns, • Standardize LLM-driven workflows for content generation, outbound personalization, ad testing, and reporting, • Build suppression logic and segmentation frameworks between paid, CRM, and lifecycle systems, • Create dashboards that connect marketing activity to pipeline and revenue, • Identify repetitive manual tasks and automate them, • Ship improvements weeklySkills & Experience You Have, • 2–5+ years in growth marketing, marketing automation or GTM engineering, • Expertise in building automation workflows (Zapier, n8n, native automation tools, APIs), • Significant experience with Claude Code and similar tools, • Experience with paid platforms (Google Ads, LinkedIn Ads) and automated optimization strategies, • Familiarity with Salesforce, HubSpot, or similar CRM platforms, • Comfortable working with data and writing basic SQL queries, • Experience building dashboards tied to revenue metrics, • Strong systems thinking — you design processes, not just execute tasks, • High execution velocity and comfort operating independently

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 . What You'll Do The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). About the Role We're hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you'll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally. Who You Are • 3–5 years of relevant experience in a similar role, • Strong programming proficiency in Python, • Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)., • Familiarity with cloud platforms (AWS, GCP, Azure), • Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate), • Strong experience with Linux/Unix, • Excellent communication and presentation skills, both written and verbal, • Ability to break down and solve complex problems through customer consultation and execution, • Background in robotics, • TypeScript experience, • Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM, • Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes, • You love collaborating with top AI teams to solve real-world ML and GenAI challenges, • You're curious about how to optimize AI workflows at scale, • 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 $165,000 to $242,000. 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 Position Summary: The Product Quality Team is a technical quality engineering team responsible for monitoring, understanding, and improving product performance, in addition to owning quality processes within the service organization. The Product Quality Engineer will be technical, hands-on, and customer-focused with an ability to analyze, diagnose and test product quality issues. The successful candidate is accountable, collaborative, has excellent communication and problem-solving skills, and is passionate about delivering world-class products that make healthcare more accessible, simpler, and safer. Major Responsibilities: • Conduct hands-on analyses of returned products to identify root causes of failures, • Develop investigation criteria and test methods to properly diagnose and root cause field failures, • Analyze and trend on product performance data to provide recommendations for product improvements, • Perform Quality trending of Service data and conduct investigations to identify causes of Servicing and Service-related complaint trends, including issues in Servicing workmanship and Out of Box failures., • Review the output of Servicing and related Complaint or Non-Conformance Investigation activities to ensure that the resulting work complies with all regulatory and service requirements, as well as facility, divisional, and corporate objectives for defect prevention and continuous improvement., • Audit and review Complaint Investigations and records of Servicing activities to ensure they are thorough, accurate, self-explanatory, and completed in a timely manner into the complaint handling system., • Analyze service-related PFMEAs and other activities to support pre-market and post-market risk management activities, • Provide ongoing training to Service staff on regulatory requirements associated with complaint investigations and Servicing records, • Foster supplier relationships and support Supplier corrective action requests, • Support Product Transfer teams by aligning quality requirements and processes for new or transferred products, • Plan, develop, and conduct Service Manual and Service work instruction validations (IQ, OQ, PQ), test method validations, and inspection method validations, • Participate in the development and review of engineering change orders that impact servicing activities, • Work with Engineering to design and implement tooling and fixturing required to perform servicing activities and implement error-proofing (Poke-Yoke) in those stations, • Work cross-functionally to support implementation of changes in servicing and inspection procedures to mitigate field failures., • Support CAPAs, Escalations, DCNs, and other engineering projects to address and resolve field quality issues, ensuring timely implementation and compliance with quality standards, • Perform DHR, Service History record, and PFMEA reviews in support of complaint investigations, • Adhere to the letter and spirit of the company's Code of Conduct and all other company policies., • While the above key responsibilities are the main elements of the titled job the Vice President Quality may at times request other tasks deemed to be within their capabilities. Skills and Experience: • Excellent technical report writing skills, • Strong Root Cause Analysis, Design of Experiments, and test method development experience as related to Service activities and complaint or non-conformance investigations, • Experience in leading investigations and trending analysis, leveraging expertise in troubleshooting electro-mechanical systems and engineering custom test fixtures and apparatuses for functional and performance validation, • Ability to manage multiple investigations and projects independently., • A solid understanding of the FDA QSR Quality System Requirements, and the ability to apply the knowledge to comply with goals and objectives., • Strong experience with MS Office Products (Word, Excel, Visio, Project, PowerPoint, Outlook, etc.), • Strong experience with statistical analysis of data., • Experience with Minitab preferred., • Experience with Six Sigma principles preferred., • Excellent oral and written communication skills with the ability to communicate with audiences of varying technical skills, • A strong ability to prepare written technical plans and reports in support of engineering changes, product or process validations, and failure investigations., • Strong focus on meeting customer needs., • Ability to work with cross-functional teams., • Ability to be self-driven and solve complex problems independently., • Demonstrated strong attention to detail and “do it right the first time” attitude Qualifications: • Bachelor's degree in an Engineering discipline (Electrical, Mechanical, Bio-Medical, etc.) or the equivalent work experience, • 3-7 years of related hands-on engineering experience in the medical device industry, or equivalent., • Ability to travel 10-20%, • Strong background in troubleshooting electro-mechanical systems and interpreting electrical schematics and circuit diagrams, • Experience using diagnostic tools such as digital multimeters and oscilloscopes, as well as developing and validating test methods for components including PCBs, motors, pumps, power supplies, and batteries, • Prior experience in implementing new processes and driving improvements., • Experience in a customer focused Service organization is a plus, • Familiarity with ISO14971 and associated Risk Management Processes is a plus, • Knowledge of and/or experience with product decontamination and Blood Borne Pathogen exposure controls is a plus, • Experience in an FDA regulated environment is a plus

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 DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. Required Qualifications * 7+ years of experience in SRE, platform engineering, or infrastructure engineering operating production distributed systems. * Strong multi-cloud experience (AWS, GCP, or Azure), with SME-level depth in AWS or GCP. * Proven experience running multi-region production systems, including disaster recovery testing, runbooks, and real incident ownership. * Deep, hands-on experience with Kubernetes at scale (EKS/GKE/AKS), including GitOps workflows and production-grade security controls. * Extensive experience with Terraform-first Infrastructure as Code in large, real-world environments (not POCs). * Strong security and compliance mindset, including Zero Trust principles, secrets management (Vault or cloud-native equivalents), and exposure to regulated environments (PCI, SOC 2, HIPAA, NIST). * Comfortable owning systems end to end, with clear metrics and outcomes to show impact. Nice to Have * Experience with distributed ledger or blockchain systems, particularly private or consortium deployments. * Familiarity with Hedera services such as HCS, HTS, Hedera SDKs, or the Smart Contract Service. * Understanding of EVM-based systems and smart contract tooling (Solidity, Hardhat). * Experience operating active-active, globally distributed architectures. * Prior experience supporting financial services or other highly regulated industries. Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.

Job Description Technical Account Executive - Infrastructure Platform - 27772826 Join a fast-growing startup building the future of infrastructure management Are you ready to be the first quota-carrying Account Executive at a cutting-edge infrastructure company? We're looking for a technical sales professional to own the full sales cycle and help scale our go-to-market motion from the ground up. ???? Compensation & Benefits Base Salary: $138K - $175K OTE: $275K - $350K Equity: Competitive equity package Location: In-office in Chelsea, New York (full-time on-site) Hiring: Looking for 1-2 exceptional candidates Note: Visa sponsorship not available What You'll Do Own the Complete Sales Cycle • Drive end-to-end sales from outbound sourcing through negotiation and close, • Run technical discovery with engineering teams (SRE, Platform, Infrastructure), • Lead technical evaluations, coordinate pilots, and navigate security/compliance reviews, • Develop talk tracks, objection handling frameworks, and ROI narratives, • Create scalable playbooks and operating rhythms for future team growth, • Partner directly with founders and product teams to influence roadmap Core Requirements • 2-4 years B2B SaaS sales experience with proven deal sourcing and closing track record, • Experience selling technical products (dev tools, infrastructure, security, data) to engineering buyers, • Demonstrated ability to run structured discovery and turn technical pilots into wins, • Strong outbound pipeline creation skills and comfort with limited inbound volume, • High ownership mindset and excitement for building processes while selling, • Excellent written/verbal communication with both engineers and executives Bonus Points • Prior experience as Solutions Engineer, SRE, or Software Engineer, • Background selling observability, monitoring, incident response, or reliability tools, • Enterprise deal experience with complex security/compliance requirements, • Network in the NYC engineering ecosystem ???? Founding Team Opportunity • Be the founding Technical AE at a company with strong momentum and $20M in funding, • Join a unique technical team including engineers who've won Jeopardy and were top college debaters, • Team Size: 18 employees in a tight-knit, high-performing environment, • Industry: DevTools, Software Development, B2B, • Mission: Automate everything after deployment so teams spend less time on maintenance and more time building, • Competitive compensation with $275K-$350K OTE potential, • Generous equity in a fast-growing, well-funded startup, • Full benefits coverage - health, dental, vision, plus retirement, • Unlimited PTO and flexible work environment, • Perks that matter - late night dinners, fitness stipend, top-tier equipment, • NYC benefits - Citi Bike and transit support If you wish to be part of this successful and vibrant organization, please email a MS Word version of your resume to . Cube Management is a leading recruiting and consulting partner to emerging growth, mid-market and global companies in the technology, manufacturing, healthcare, consumer package goods and business service sectors. We work across the spectrum of Operations, Sales, Marketing, Safety, Engineering, Accounting and Business Development, providing holistic solutions that drive revenue and profit success. Cube Management combines Strategy, Process and People, to produce great results. For a complete listing of our current job listings please visit

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Salary Range: $140,000 - $180,000 Work Type: Hybrid Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)

Job DescriptionAbout Us Globaledit, a division of CoCreativ, is the leading SaaS platform for creative production workflow management. Our platform empowers top brands, retailers, and entertainment companies to collaborate more efficiently and bring content to market faster. We are expanding our product team to build new features, improve platform usability, and integrate emerging technologies that drive creative productivity. About the Role We’re looking for a Senior DevOps Engineer to take ownership of our cloud infrastructure, deployment pipelines, and system monitoring. This role is ideal for someone who is highly autonomous, thrives in complex problem-solving, and is passionate about building resilient, scalable serverless systems. You’ll play a critical role in ensuring our engineering teams can deploy code safely and efficiently, while continuously improving our AWS environment and DevOps processes. This role requires someone who’s just as comfortable rolling up their sleeves to debug a critical incident as they are stepping back to identify long-term architectural improvements or cost optimization opportunities. What You’ll Do • Own our AWS serverless infrastructure, including Lambda, API Gateway, Step Functions, S3, ECS, EFS, Route 53, and CloudFront., • Design, build, and maintain CI/CD pipelines, primarily in Azure DevOps (or comparable tools like TeamCity, GitHub Actions, etc.)., • Debug and resolve infrastructure issues end-to-end, understanding how data flows through our system and proactively identifying points of failure., • Implement and lead best practices for monitoring, alerting, and incident response using Datadog., • Establish and manage DevOps backlogs, priorities, and tasks independently, without needing constant direction., • Champion operational excellence by driving initiatives that reduce incidents, improve observability, and increase deployment confidence., • Collaborate closely with backend and frontend engineering teams to support deployment, configuration, and production readiness of new services., • Identify opportunities for cost savings and infrastructure right-sizing and drive those initiatives through to completion., • Contribute to documentation, process improvement, and DevOps tooling—leveraging automation wherever possible. Who You Are • 7+ years of DevOps or SRE experience, with at least 5 years in a Senior or Lead role., • Deep knowledge of AWS services, particularly in serverless architectures., • Strong understanding of how data flows through cloud-based systems, and where failures are likely to occur., • Proficient with CI/CD pipelines—experience with Azure DevOps is preferred, but equivalent tools are acceptable., • Skilled in debugging, root cause analysis, and proactive infrastructure monitoring, ideally using Datadog., • Comfortable with coding and scripting (C#, NodeJS, Bash, etc.) and able to build infrastructure solutions hands-on., • Self-starter—you take initiative, organize your work, prioritize effectively, and don’t require micromanagement., • Calm under pressure during incidents, but focused on preventing them through automation and systems design., • Excellent communicator who can explain technical problems and solutions to various stakeholders. Nice to Have • Advanced AWS knowledge and certifications, • Experience with SRE practices, SLOs, SLIs, and service monitoring, • Cost optimization experience in AWS environments, • Previous experience building observability systems with Datadog from the ground up, • Hands-on development experience from ideation to production deployment, • Comfortable coding solutions without over-reliance on AI coding tools, but savvy in using them for productivity when appropriate Benefits The anticipated salary range for this role is $150,000 - $175,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role At Whatnot data engineers build foundational data systems that power product development, experimentation, machine learning, and operational decision-making across the company. As an Data Engineer on the Notifications Platform, you will play a critical role in owning and evolving one of the highest-volume and highest-impact data domains at Whatnot. Notifications generate hundreds of millions of events per day, and the underlying data systems support everything from ML iteration and experimentation to adhoc engineering debugging. In this role, you will define the technical direction for the Notifications data mart, harden it to production-grade reliability, and set new patterns for domain-owned data engineering. Working in a highly cross-functional role, you will collaborate closely with Product Engineers, Data Scientists, ML Engineers, and the Analytics Platform team. You’ll make key architectural decisions around data modeling, reliability, latency, and cost — and then make them real. On any given day, you will: * Own data architecture end-to-end. Define how we capture, model, and serve critical business data—then implement it in production. You’ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency. * Build mission-critical pipelines. Develop and operate batch data workflows that process high-volume events related to notifications with tight guarantees for latency, completeness, and accuracy. * Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and production applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams. * Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable. * Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems. * Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, self-healing, maintainable data assets. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Data Engineer, you bring deep experience designing reliable, scalable data systems and are excited to take true ownership of a complex product domain. You should have 5+ years of experience in the data or software engineering domain, plus: * Strong experience building and maintaining production-grade data pipelines with clear SLAs, monitoring, and alerting * Deep expertise in SQL, including complex model graphs, dependency management, and performance optimization * Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows. * Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations). * Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning. * Proven track record working with large-scale datasets (hundreds of millions of rows per day) * Experience designing data models that balance analytics, ML, and operational debugging use cases * Strong systems thinking — you consider correctness, latency, cost, and maintainability together * Self-starter ethic, thriving under a high level of autonomy * Exceptional interpersonal and communication skills in cross-functional environments 💰Compensation For Full-Time (Salary) US based applicants: $195,000/year to $230,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE:We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams. A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: • Cloud: AWS, • Compute: ECS Fargate, Lambda, Event-Driven Services, • Infrastructure as Code: Terraform, • Languages: Python, TypeScript, Bash, • Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch, • Streaming & Queues: Kinesis, SQS, BullMQ, • CI/CD: GitHub Actions (Enterprise), • Observability: Datadog, AWS CloudWatch, • Architecture: Containerized APIs, Serverless Processing, Distributed Systems, • Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure., • Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions., • Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently., • Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling., • Improving system reliability, scalability, and performance across distributed services and real-time workloads., • Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops., • Operating production systems with strong ownership of uptime, incident response, and recovery automation., • Partnering with engineering teams to improve service architecture, resiliency, and operational maturity., • Improving cost efficiency and infrastructure utilization across AWS and other infrastructure., • Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices., • Participating in on-call rotations. ABOUT YOU: • 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles., • Deep experience operating production workloads on AWS., • Strong hands-on experience with Terraform or comparable IaC tooling., • Experience running containerized and serverless systems at scale., • Strong understanding of distributed systems reliability and failure modes., • Experience building CI/CD pipelines and developer automation tooling., • Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry., • Familiarity with incident response, on-call operations, and production debugging., • Working knowledge of networking, IAM, and cloud security best practices., • Comfortable collaborating across engineering teams and influencing technical direction.NICE TO HAVE:, • Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling., • Experience building or managing self-serve developer environments at scale., • Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them., • Experience supporting AI/ML or real-time workloads., • Cost optimization and cloud efficiency initiatives., • Exposure to compliance frameworks (SOC2, HIPAA, PCI).BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job DescriptionAs a Senior Backend Software Engineer at Regard, you’ll play a leading role in building our products. You’ll be responsible for designing and developing critical backend services and driving them end-to-end through the full product lifecycle: ideation, planning, design, execution, deployment, and iteration. We expect our senior engineers to be true technical leaders by driving architectural decisions, mentoring teammates, and leading major projects that help set the bar for engineering excellence. You'll collaborate closely with product, design, and fellow engineers to ship high-quality solutions that empower physicians and improve patient care. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.Our Tech Stack: • Frontend: TypeScript, React, Tiptap, • Backend: Python (FastAPI, Flask), PostgreSQL, Redis, Celery, • Infrastructure & DevOps: Docker, Kubernetes, AWS (SQS, SNS), GitLab CI/CD, • APIs & AI: OpenAPI, OpenAI (GPT models)Responsibilities:, • Collaborate with product and design team members to best design medium to large projects balancing speed to market, user experience, business goals, and technical architecture quality, • Own medium to large backend services and drive improvements across system design, observability, testing, performance, and support., • Drive backend development practices, patterns, and processes along with the other Regard backend experts, • Mentor and review code from less experienced developers in our backend services across backend job processing, API, and other services, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing projects to improve the overall backend codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute as necessary across the stack (front end, infrastructure, AWS, etc) in order to unblock projectsMinimum Qualifications:, • BS in Computer Science, • 6+ years of experience with software development in one or more programming languages, • Proficient in Python with demonstrated ability to write and maintain production-quality code, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)Preferred Qualifications:, • Experience with k8s, AWS services (serverless, etc), OpenAI services, • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments, • Experience working with health technology, • Strong verbal and written communication skillsHybrid Work \u007C Location \u007C Work Authorization, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • We prefer hiring people within commuting distance of our offices because we value getting together in person regularly, • For those who enjoy working from the office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp \u007C Perks \u007C Benefits, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Monthly health & wellness budget, • Company-sponsored team retreat + social events, • A sabbatical programAt Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $165,000 to $220,000. This is subject to change and may be modified in the future. We encourage all interested candidates to apply. Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace. All candidates must successfully complete a background check as part of the hiring process.

Job Description We are partnering with a profitable, pe-backed company building systematic trading infrastructure for real-world markets. Live events generate tens of billions of dollars annually in secondary ticket transactions, yet the market remains fragmented, inefficient, and largely driven by manual decision-making. Pricing is inconsistent, liquidity is uneven, and execution lacks the rigor seen in mature financial markets. Our client is changing that. Backed by an established brokerage with multiple years of track record and eight-figure annual revenue, they are building a technology-driven trading platform to bring discipline, liquidity, and intelligent pricing to this market. This is not a typical marketplace. This is a trading system... applied to real-world assets. The Opportunity As a Founding Engineer, you will architect and build the core systems that power valuation, capital deployment, and execution across secondary markets. You will own the platform from first principles, including architecture, core services, and production performance, while working directly with the founder to translate strategy into real systems that deploy capital daily. This role starts at the Staff / Principal IC level with a clear path into engineering leadership as the company scales. What You'll Own • Design and build the core trading infrastructure powering pricing and execution, • Develop systems for valuation, order placement, and post-trade tracking, • Build and maintain data pipelines that ingest, normalize, and react to real-time market data, • Implement pricing logic informed by liquidity, demand signals, and historical performance, • Create monitoring systems, dashboards, and internal tooling for system health and performance, • Establish safeguards for data integrity, execution failures, and edge cases, • Partner directly with the founder to prioritize initiatives and run experiments, • Strong backend and infrastructure expertise, • APIs and external integrations, • Relational databases (PostgreSQL or similar), • Cloud infrastructure (AWS or GCP), • Proficiency in Python or Go preferred, • Deep experience building data pipelines that operate reliably under messy, real-world conditions, • Strong system design skills with a focus on performance, reliability, and scalability, • Entrepreneurial mindset with high ownership and bias toward action, • Direct ownership of a system that deploys real capital daily, • Opportunity to build trading infrastructure in an untapped asset class, • Work alongside a founder with an existing profitable foundation, • Influence both technical architecture and business strategy from day one, • Clear path into engineering leadership as the company grows

Job Description Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key Responsibilities • Build and maintain infrastructure supporting large-scale ML training and inference workloads, • Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms, • Improve reliability, observability, and performance across the platform layer, • Collaborate directly with senior engineers and product teams on architecture decisions, • Own production reliability — monitoring, incident response, and proactive risk reduction, • Develop and maintain internal tooling and automation to support engineering operations Requirements • 5+ years of infrastructure or platform engineering experience in a production environment, • Strong distributed systems background — experience with large-scale compute workloads preferred, • Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required, • Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads, • Experience owning production reliability end to end Benefits • Competitive base salary ($130,000-$240,000) + equity, • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working at the forefront of AI infrastructure at scale

Job DescriptionJob Title Head of Engineering / CTO – Solana (Rust, Web3) Location Remote Global candidates considered Work Model Remote-first High ownership role within a fast-moving Web3 environment Languages English required Additional languages an asset About the Client Inner Circle Agency is partnering with a well-funded, Solana-native Web3 organization operating at the forefront of decentralized technology. The projects are currently confidential but sit within high-impact areas of the Solana ecosystem, with strong backing and long-term growth ambitions. Role Overview Our client is seeking a CTO or Lead Engineer with deep Solana expertise to define technical direction, lead engineering efforts, and support the scaling of complex blockchain products. This role blends strategic leadership with hands-on technical involvement and is ideal for someone already embedded in the Solana ecosystem. Key Responsibilities * Set and own the technical vision, architecture, and engineering roadmap * Lead and mentor engineering teams while establishing best practices * Guide system design with a focus on performance, scalability, and security * Provide hands-on support for architecture decisions and critical builds when required * Collaborate closely with product and business stakeholders * Represent the technical function within the broader Web3 and Solana community Qualifications Required * Senior engineering leadership experience in a Web3-native environment * Strong, hands-on knowledge of Solana architecture, programs, and ecosystem tooling * Deep understanding of DeFi, trading systems, wallets, or protocol-level products * Proven ability to scale teams and ship in fast-paced, high-ownership environments * Strategic mindset balanced with practical execution Preferred * Previous CTO or Lead Engineer experience at a blockchain company * Contributions to Solana ecosystem projects or open-source initiatives * Established network within the Solana or broader Web3 space What the Client Offers * Competitive compensation aligned with senior leadership scope * Exposure to high-impact, confidential Solana-based initiatives * Significant autonomy and influence over technical direction * Long-term growth opportunity within a well-capitalized organization Additional Notes This search is being conducted confidentially. Further details will be shared with qualified candidates during the interview process. To apply or learn more, connect with Inner Circle Agency directly.

Job Description Intro M0 is the shared infrastructure where businesses launch their own branded stablecoins and financial institutions power them. Built on a common standard, every stablecoin on M0 is interoperable and liquid from day one - giving businesses programmable control over how money moves in their ecosystems, and giving financial institutions the most advanced issuance stack in the industry. M0 is seeking an experienced Protocol Integration Engineer to join our growing team. In this role, you will enhance the growing set of M0-powered stablecoin extension projects, support partners' technical teams, improve existing products and create and maintain comprehensive documentation. Key Responsibilities • Adjust existing Solidity and/or Rust (Solana) M Extensions Frameworks to external partners' needs., • Maintain and enhance APIs, SDKs and Web3 infrastructure projects in TypeScript to meet partner needs., • Ensure consistency and quality of M0 partners' extensions and integrations., • Lead technical onboarding for partners and clearly communicate protocol concepts to both technical and non-technical stakeholders., • Write comprehensive documentation, test suites, and deployment scripts., • 3+ years experience in Web3 Development, • Proficiency in Solidity and TypeScript; Rust (Solana), • Experience shipping production smart contracts or protocol integrations in a DeFi or crypto infrastructure project., • Hands-on experience with EVM tooling and infrastructure., • Familiarity with DeFi protocols and cross-chain messaging protocols., • Strong communication and writing skills; fluent in English., • Proactive problem solver: You have a forward-thinking mindset, actively identify opportunities for improvement, and take decisive action to resolve issues efficiently and effectively., • Strong technical communicator: You can distill complex concepts for diverse audiences and produce clear, thorough documentation., • Team-oriented mindset: You are always ready to help colleagues within and outside your team and seek assistance when needed., • Delivery-focused: You have a clear understanding of the objectives and direct your efforts towards achieving them., • Competitive compensation including a token grant, • Comprehensive health benefits: medical, dental, and vision insurance fully sponsored by the company, • Flexible work environment with a global team—work remotely or from our NYC or Berlin hub, • Wellbeing allowance to support your physical and mental health, • IT equipment stipend to set up your ideal workspace, • Annual professional development budget to invest in your growth and skills, • Unlimited paid time off to take the time you need, when you need it

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: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job Description Job Description: GCP Platform Engineer Location: Jersey City, Tampa, or Palo Alto (5 days onsite) Position Overview We are seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

Job Description Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark's comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care. Daymark's groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation's foremost leaders in oncology and value-based care. Daymark Health is backed by Maverick Ventures, Yosemite, Oncology Ventures, Healthier Capital, Blue Venture Fund, and Healthcare Foundry. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Daymark Health email. WHAT YOU'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark's mission. Reporting to the VP of Product and working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will: • Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners., • Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration., • Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization., • Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark's mission and scale our value-based care model, • Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions., • Collaborate with engineering and other teams to integrate analytics into production systems., • Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success., • Align data infrastructure to be flexible in organization's strategic priorities (i.e., pharma data, Fee-for-service, etc.), • Experience: You bring 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. You've implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools., • Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You've worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements., • Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale., • Collaborative operator: You're a strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results., • Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems., • Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark's mission to transform cancer care for patients, families, and providers. ADDITIONAL INFORMATION This role is fully remote but we are ideally looking for someone based in New York, Philadelphia, or Boston to align with our team's current geographic distribution.

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 Join Hinge as a Staff AI Engineer, where you’ll lay the cornerstone of our agent-powered future by focusing on Operational AI Systems. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our internal support and operations teams. Think of it as building the AI Agent Operating System for critical internal operations: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operational specialists and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of how Hinge deploys AI to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across high-volume operational workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Mentor and educate ML Engineers and Platform Engineers on new trends and research in AI/ML that can be applied to initiatives to improve user outcomes, promote safety, and improve AI-powered products and workflows.What We're Looking For, • Production-grade agent orchestration and state management: Proven ability to design, build, and operate highly reliable multi-step LLM agents, emphasizing state machine design, reliable tool calling, and recovery from failure states within coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Proven ability to ship and iterate quickly. Skilled at leveraging fast proofs of concept and early data to drive continuous tuning and feature improvement with high velocity., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on experience designing and operating stateful, multi-step agentic workflows (e.g., LangGraph, AutoGen, or similar internal frameworks) in production, moving beyond simple single-turn chatbot or RAG demos. #Hinge 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 Overview We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti is building the infrastructure to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both. Why Corti? Corti is building the intelligence layer for global healthcare. We give every developer, product team, and healthcare innovator access to medical-grade AI, so the world can deliver care that is faster, safer, and more human. Built entirely for healthcare and adjacent industries, Corti’s models are trained on real-world data and optimized for precision, safety, and regulatory trust. Through modular APIs, teams can embed medical speech recognition, summarization, reasoning, and much more directly into healthcare products without reinventing the foundation. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti. The Role We are seeking a technically curious, execution-focused Growth Marketer to sit at the center of Corti’s growth engine. This role is for someone who can read an API doc, spin up a landing page, and write a launch post that developers actually want to read. You are technical enough to understand what we build, creative enough to make people care, and pragmatic enough to ship instead of overthinking. You will own the surfaces and campaigns that drive developer awareness, acquisition, and activation. That includes product launches, landing pages, demand generation, developer-facing content, and growth analytics. You will move fast across channels and formats, with real ownership over what ships and how it performs. What you’ll be doing: Product launches and landing pages * Design and build landing pages, launch assets, and promotional materials (often coding or prototyping yourself) * Collaborate on the end-to-end build and launch process for new products, features, and platform updates * Coordinate cross-functionally with product, engineering, and design to bring launches to market * Write launch content and developer-facing announcements that inspire our audience to dive in Demand generation * Plan and execute campaigns that drive signups, activations, and pipeline across paid, organic, and owned channels * Run conversion rate experiments across the signup and activation funnel * Manage paid campaigns and track performance against acquisition and activation targets Content and SEO * Produce developer-facing content for blog, social, and community channels * Build and execute an SEO strategy targeting developers searching for healthcare AI tooling * Write technical blog posts, guides, and tutorials that position Corti as the default platform for healthcare AI development * Create sales enablement assets, templates, and collateral as needed Analytics and reporting * Build dashboards and reports to track campaign performance, funnel metrics, and growth KPIs * Analyze user behaviour to identify activation patterns and conversion opportunities * Report regularly on what’s working, what’s not, and where to invest next * Use data to prioritise experiments and allocate resources across channels What you bring: You may have been a growth marketer at a developer tools company, a product marketer at a PLG SaaS business, or a growth generalist at a Series A-C startup who touched everything from paid ads to SEO to rapid prototyping. Whatever your path, you have marketed a technical product to a technical audience and are comfortable building things yourself rather than waiting on others. Technical aptitude * Comfortable reading API documentation and understanding how developer products work * Able to build or “vibe code” landing pages, simple tools, and prototypes (or excited to learn) * Familiar with developer workflows, tooling, and PLG motions * Not a software engineer, but the kind of person who builds side projects, tinkers with AI tools, and stays close to the product Marketing execution * Experience running campaigns across paid, organic, email, and content channels * Track record of shipping landing pages, launches, and growth experiments quickly * Comfortable with analytics tools like Google Analytics or Posthog and building reports that drive decisions * Strong writing skills, particularly for technical and developer-facing audiences Builder mindset * 2-4 years of experience in growth, product marketing, or a generalist role at an early-stage tech company * Comfortable operating with minimal structure and defining the playbook as you go * High output: you ship fast, learn from results, and iterate * Genuine interest in AI and healthcare Tools we work with: * Webflow * Loveable * Cursor * Claude * PostHog * Google Analytics What a day looks like: On any given day, you might push a new landing page live for an API feature launch, review funnel metrics to diagnose a drop in activation, draft a blog post on a new agent capability, and jump on a call with product and engineering to scope the next release. We don’t care about the exact title on your CV. What matters is that you are technical enough to understand what we’re building, fast enough to ship without waiting for permission, and someone your friends might describe as “one of the smartest people they know.” Life at Corti * You will work closely with the Growth, Product, and Engineering teams * High autonomy, low bureaucracy, and real ownership * Direct impact on how developers discover and adopt Corti’s platform * Equipment provided by Corti * Working in our New York office Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. 🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status. At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying! Compensation Range: $120K - $155K

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Cloud Infrastructure / SRE to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Our Core Technology teams build and maintain the foundational platform upon which all Oscar engineering is built. We are responsible for architecting a world-class, resilient ecosystem using a modern stack centered on AWS/GCP, Terraform, and Kubernetes with developer focused tooling and CI/CD. Our mission is to provide an automated, self-service infrastructure that empowers our engineering organization to move fast without sacrificing security or stability. You will report into a Staff/Senior Staff Engineer. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Become the expert on your team's business and technical domains such as DevOps, site reliability, and cloud best practices, • Lead the planning, execution and release of complex technical projects across multiple teams outside of Core Technology, • Work with partners, product managers, and designers to solve challenging problems, • Lead and mentor engineers on the team to improve technology and apply best practices, • Independently responsible for large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains, • Facilitates, encourages, and enhances cross-team execution and collaboration; knows when cross-team projects are at risk and actively mitigates risk to deliver on time, • Prolific contributor to the objectives of their functional group, as well as organization-wide projects, • Drives prioritization of technical roadmap and influences prioritization of product roadmap and process enhancements within their team, • Actively identifies and reduces failure domains, designs and builds resilient systems, and strives to reduce adverse effects of an outage., • Builds software to minimize effort and business impact during maintenance and failures, • Guides the development of Service-Level Objectives (SLOs) for systems they are responsible for, • Own medium to large features or infrastructure projects from technical design through completion, • Compliance with all applicable laws and regulations, • 6+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments, • Experience as a major contributor cross-pod or cross-company deliverables, • Experience leading technical contributions, improving the quality of what your teams create, and are excited to build fault-tolerant, and scalable software systems., • Demonstrates expertise of the practical application of CS concepts within their team., • Sets and enforces the standard for writing stable, correct, and maintainable code, • Cloud Proficiency: Deep expertise in managing production environments within AWS or GCP at scale., • Infrastructure as Code: Advanced experience with Terraform or similar IaC tools to manage complex, multi-account structures., • Orchestration & Delivery: Proven track record with Kubernetes and workflows using ArgoCD., • SRE Discipline: Strong background in Site Reliability Engineering, including Service Level Objectives (SLOs), error budgets, and incident management., • CI/CD & Automation: Experience building robust deployment pipelines via GitHub Actions., • Observability: Proficiency with monitoring using tools like Prometheus, Grafana, or similar., • Security & Networking: Knowledge of cloud-native security (IAM, VPC peering) and service mesh technologies like Istio., • Programming: Understanding of at least one coding language that you are able to use to develop scripts and software At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionSalary: 135,000.00-185,000.00(USD) What we bring: • Pay & ownership — Competitive salary with generous equity grants., • Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits., • Unlimited PTO — Take the time you need to recharge., • Dinner on late nights — Working late? Dinner is on us., • Fitness stipend — Monthly support for your health and wellness., • Tools of the trade — Any equipment you need to do your best work., • Commute perks — Citi Bike + train benefits. ✅ Traits to prioritize • Need to have some spike of excellence (top school, great company), • Technical background (CS degree or sold technical products), • Startup experience or high-growth environment exposure, • Generalist mindset willing to wear multiple hats, • Companies, • devtool startup as first GTM hire, • technical startups, • Datadog, • Grafana, • Pure SDRs focused only on outbound prospecting, • Experience at technical companies like Datadog, Grafana, or Sentry This is a high-impact builder role at the center of scaling go-to-market. You'll own the operating system behind GTM — strengthening systems, automations, reporting, and sales enablement — while running growth experiments that directly drive pipeline. This is not a passive ops role. Its for someone who likes building infrastructure, shipping projects quickly, and operating in ambiguity. What You'll Do * Own and optimize core GTM systems across CRM, enrichment, sequencing, and automations * Maintain clean, accurate pipeline data and strong CRM hygiene * Build reporting dashboards for pipeline health, conversion, and outbound effectiveness * Partner closely with Sales to surface account insights, prep materials, and improve rep productivity * Run growth experiments end-to-end (events, partnerships, outbound initiatives) from hypothesis to iteration * Document playbooks and create repeatable workflows to scale the team What Were Looking For * 3+ years in a high-ownership GTM, Strategy & Ops, BizOps, Growth, or similar role * Experience operating in technical startup, VC, consulting, or founder environments * Strong analytical mindset — comfortable defining metrics and making decisions from imperfect data * Hands-on experience with modern GTM tooling (e.g., HubSpot, Notion, Clay) * Systems thinker who enjoys building scalable workflows * Strong written and verbal communicator * Ability to manage ambiguous projects from definition to execution Bonus * Direct RevOps / Sales Ops / Marketing Ops experience * SQL or light scripting for reporting and automation * Working literacy of software engineering or cloud infrastructure * Prior experience at a devtools company * Experience running events or community initiatives * Computer Science degree is a plus This is an opportunity to help build the GTM engine from the ground up at a highly technical startup — ideal for someone who wants real ownership and measurable impact. Powered by JazzHR VMKdsXvuSq

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is redefining logistics superiority with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." We're hiring a Senior Forward Deployed Engineer to lead the technical delivery of our platform to defense customers. This isn't a support role. You'll be the person in the room when a combatant command needs a capability deployed in weeks, not quarters. You'll shape how our technology meets the battlefield, and you'll have the autonomy and ownership to make it happen. If you want to build things that matter — and see them used immediately — this is the role. What You'll Do Lead from the front. You'll be the senior technical face of Tagup with our most important defense customers. You'll build trust with operators, program managers, and military leaders — and you'll be the person they call when the mission depends on it. Architect deployments end-to-end. From contract kick-off through production operations, you'll own the full delivery lifecycle. You'll design deployment architectures, define integration strategies, set milestones, and ensure we deliver on time in environments where "on time" isn't negotiable. Bridge the gap between product and mission. You'll translate operational needs into product requirements, working directly with our engineering team to prioritize features that unlock real capability for warfighters. Your field experience will directly shape our roadmap. Manage complexity. You'll run multiple concurrent engagements across different customers, classification levels, and operational contexts — keeping every one of them on track. What We're Looking For * 8+ years of experience in software delivery, technical consulting, solutions engineering, or forward-deployed roles — bonus points for defense, intelligence, or other high-security environments * Strong engineering fundamentals. You can write production-quality Python or JavaScript, reason about distributed systems, and debug a deployment at 2 AM if the mission calls for it * Exceptional communication skills. You're equally comfortable whiteboarding an architecture with engineers and briefing a general officer on delivery timelines * A bias for action and ownership. You don't wait for permission. You see what needs to happen and you make it happen * Willingness to travel to customer sites as needed — sometimes on short notice Salary Base salary: $160,000 – $200,000, depending on experience and location. We align compensation with your experience and impact, and we aim to attract and retain top engineering talent. In addition to salary, every team member receives meaningful equity through our Employee Stock Option Plan. We also offer comprehensive health insurance, access to a 401(k) plan, and a team-oriented culture with regular company outings.Why Tagup This isn't a company where engineers are three layers removed from the mission. At Tagup, the code you write on Monday can be running in an operational environment by Friday. You'll work alongside a small, intensely talented team where your judgment matters, your initiative is rewarded, and the work has consequences beyond quarterly metrics. We're at an inflection point — growing quickly, winning major contracts, and building the team that will define how AI is used in defense logistics for the next decade. If you want in on the ground floor of something consequential, we'd love to talk. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. 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 DescriptionAbout Monstro Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you'll feel at home here. About the Role We're looking for a Platform Engineer to join our growing Platform Engineering team and play a critical role in shaping how we build, deploy, and operate software. You'll work alongside our Staff Platform Engineer and collaborate closely with the broader Engineering team. This role sits at the intersection of enablement and governance—you'll empower our engineering teams to move fast while ensuring everything we do meets the highest standards for security and compliance. You'll own our GCP infrastructure, build out scalable environments, and establish the standards and tooling that make our engineers productive. At the same time, you'll be the guardian of our security posture and compliance commitments, ensuring we meet NIST and SOC-2 requirements without slowing down innovation. What You'll DoEnable Engineering Velocity • Build and maintain our GCP infrastructure, creating consistent, repeatable environments across development, staging, and production, • Design and implement CD pipeline standards that enable teams to deploy confidently and frequently, • Develop internal tooling, templates, and automation that reduce friction for software engineers, • Create and maintain infrastructure-as-code (Terraform) to ensure environments are reproducible and auditable, • Provide support and guidance to engineering teams on platform best practices, • Continuously improve developer experience by identifying and eliminating bottlenecksSecure & Ensure Compliance, • Implement and maintain security controls across our GCP environment (IAM, VPC configuration, secrets management, encryption), • Ensure compliance with NIST frameworks (CSF, 800-53) including access controls, continuous monitoring, and risk management, • Support SOC-2 compliance by implementing controls for security, availability, and confidentiality, along with auditable change management processes, • Maintain comprehensive documentation and evidence for internal and external audits, • Conduct security reviews and work with teams to remediate vulnerabilities, • Build observability and logging infrastructure that meets compliance retention and integrity requirementsCollaborate & Lead, • Work as part of the Platform Engineering and Engineering teams to understand needs and deliver solutions, • Partner with the Staff Platform Engineer on architecture decisions and platform strategy, • Partner with GRC/compliance stakeholders to translate requirements into technical controls, • Participate in incident response, root cause analysis, and postmortems, • Contribute to architectural decisions and help establish engineering standards, • 5+ years of experience in platform engineering, DevOps, SRE, or infrastructure roles, • Strong hands-on experience with Google Cloud Platform (GCP), • Proficiency with infrastructure-as-code tools, particularly Terraform, • Experience designing and implementing CI/CD pipelines (GitHub Actions, Cloud Build, or similar), • Solid understanding of security principles and experience implementing security controls in cloud environments, • Familiarity with compliance frameworks (NIST, SOC-2) and implementing controls to meet audit requirements, • Strong scripting and automation skills (Python, Bash, or similar), • Experience in fintech or other regulated industries, • Knowledge of Kubernetes and container orchestration, • Experience with API management platforms (e.g., Apigee), • Background in observability tools (Datadog, Prometheus, Grafana, or similar), • Relevant certifications (GCP Professional, CISSP, etc.)Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage. Note: This role will be hybrid in office for those in the NYC metro or remote for those in the Denver metro area (but with the expectation of periodic travel to our NYC office) Base Compensation Range (New York City): $204,000 - $255,000 Base Compensation Range (Denver Metro): $179,200 - $224,000 *The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

Job DescriptionAbout Clarion At Clarion, we’re rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care. We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $5.4M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems. Why This Role Is Special * Real traction, early-stage impact: Dozens of paying customers, rapidly growing revenue, and the opportunity to own foundational backend systems at a critical inflection point. * Mission-critical problem: Healthcare communication failures affect millions daily—your work directly powers systems patients and providers rely on. * Elite technical context: Work closely with founders who deeply understand both healthcare operations and large-scale AI systems, enabling fast decisions and real ownership. What You’ll Own * Core backend systems: Design, build, and own the services, data models, and business logic powering Clarion’s AI agents and healthcare workflows. * Workflow orchestration: Build infrastructure for multi-step, asynchronous workflows—including agentic AI workflows with conditional logic, retries, and graceful failure handling. * Healthcare integrations: Own high-stakes integrations with EHRs and legacy healthcare platforms via APIs and RPA. * Platform foundations: Create internal abstractions and tooling that allow the team to deploy and customize AI assistants for new customers quickly and reliably. * Security and compliance: Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture required for enterprise healthcare. Interesting Technical Challenges * Generative AI at Scale: Design and operate production systems using LLMs with real-time monitoring, safety controls, and enterprise reliability. * Agentic workflows: Architect backend systems that coordinate AI agents across complex healthcare workflows with strong guarantees. * Enterprise reliability: Build systems supporting thousands of concurrent patient interactions with high uptime and fast incident detection. * Fragmented healthcare systems: Design resilient abstractions across modern APIs and legacy EHRs while maintaining security and compliance. What We’re Looking For * 5+ years of experience designing, building, and scaling backend systems in high-reliability production environments. * Strong backend expertise across APIs, relational databases, async workflows, and distributed systems. * High ownership and agency—you thrive in ambiguity and take responsibility for system outcomes. * Ability to communicate clearly, collaborate cross-functionally, and surface risks early. * Bonus: experience with security, auth, or regulated environments (HIPAA familiarity is a plus). You’ll be a great fit if you enjoy owning critical backend systems end-to-end, solving complex problems under real-world constraints, and building infrastructure that directly impacts patient care. Interview Process We move quickly and communicate clearly at every stage: * Intro Chat (30 min, Virtual): Background, role context, and mutual fit. * Technical Deep Dive (1 hr, Virtual): Backend systems and architecture with the CTO and a senior engineer. * Onsite Team Day (Half Day, NYC): Collaborate on real problems, present a past project, meet the team, and assess mutual fit. Decisions are typically made within 24 hours of each stage. Compensation Range: $150K - $225K

Job DescriptionCareer Renew is recruiting for one of its clients a Full Stack Engineer - this is a hybrid position in NYC. Salary range: 150-215K USD yearly. We are looking for a creative back-end focused engineer to help us architect, build, and maintain our increasingly dynamic web creative tooling experiences . You are a driven developer who enjoys critically thinking about the best ways to build a new product, take full ownership in creating a brand new extensible codebase, and bring fresh new ideas to our experience. You’ll build and own core platform services, design scalable APIs, shape our data infrastructure, and contribute across the stack when needed. You’re an endless experimenter with a focus on AI coding tools, agents, and automation to amplify engineering velocity. Finally and most importantly, you love collaborating with a team of talented domain experts and relish startup pace, ambiguity, and iterating through problems. What you'll do: * Build and maintain core backend services, APIs, and data layers that power the TITLES experience. * Partner with product, design, and data to define and deliver features end-to-end. * Design scalable, secure, and observable systems capable of supporting rapid user growth. * Contribute across the stack, including frontend applications (e.g. React) with a focus on user experience. * Drive CI/CD, infrastructure automation, and developer tooling to improve engineering velocity. * Leverage and experiment with AI-assisted coding tools, agents, and workflows to accelerate delivery, quality, and testing. * Help evolve our architecture with strong opinions on modular design, APIs, and service boundaries. Your skills: * 4+ years of professional engineering experience at startups where you’ve shipped product and taken ownership from idea to reality. * Strong backend experience in Node.js / TypeScript with real practice building APIs and services. * Proficiency with modern databases (e.g., PostgreSQL), data modeling, and performance optimization. * Experience with front-end technologies (e.g., React, modern JS) and ability to deliver across the full stack. * Comfortable with cloud infrastructure (AWS / GCP / serverless / containers) and CI/CD pipelines. * A history of using, customizing, and integrating AI coding tools, code generation, agents, or developer automation in production workflows. * Excellent communicator who can articulate technical trade-offs and collaborate across disciplines. * Startup DNA: you enjoy autonomy, ownership, and meaningful impact. Compensation & Package We pay well and give our team members skin in the game with equity. In addition we provide quality medical, dental, and vision insurance along with flexible time off and the equipment you need to be successful.

Job Description Do you enjoy solving technical issues, empathize with customer user experiences and want to keep up with the latest tech? We are looking for a Cloud Infrastructure Engineer that will work with talented software engineering and support teams to deploy, maintain and ensure reliability of our applications in a fast paced environment. Successful candidates will possess: • Passion for cloud computing and building innovative solutions in the cloud, • You have hands-on experience with CI/CD pipelines., • You bring experience with Infrastructure as Code - Terraform, AWS Cloud Formation Templates., • You are experienced with infrastructure automation tools – DataDog, Splunk, Jenkins, Artifactory., • You have experience working with containers (Kubernetes) and serverless applications (Lambda, SQS, DynamoDB, S3)., • You have a solid understanding of networking, virtualization, storage, containers, and serverless, • Understanding of run time environments and common issues with hands on experience using monitoring tools for Application, Service, Infrastructure and Data Quality Monitoring., • You have experience working in an agile environment., • You have a good demeanor towards solving problems skills that span systems, network, and applications., • You bring a strong team focus with good relationship building skills + work with broader distributed team, • You have strong written and verbal communications skills., • Certification in public Cloud (AWS) and Kubernetes is a plus. What You’ll Do: • Developing automation for developer experience tooling, • Building pipelines to enable developers to successfully migrate to Cloud, • Scripting ability in PowerShell or Bash Shell Unix Scripting, • Supporting customers through their infrastructure and code deployments, • Work with a team of Engineers to design, deploy, and optimize connectivity solutions in the cloud and on-prem., • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions., • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community, • Collaborate within the team and with partner teams to drive automation solutions that optimize deployments, improve resiliency, and reduce downtime, • Support a maturing practice through development of infrastructure as code techniques and CI/CD pipeline automation, • Manage, grow and maintain vendor relationships to drive innovation, collaboration, and capability alignment.

Job DescriptionGTM Engineer Location: Remote (Global) About Unframe Unframe partners with large enterprises to design and deploy production-grade AI systems. Our deals are complex, multi-threaded, and high impact. We sell to business and technical leaders who expect rigor, credibility, and measurable outcomes. We are scaling quickly and investing in the infrastructure behind our revenue engine. The Role We're hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution. You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You'll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way. If you enjoy creating systems that make sales teams materially more effective, this role is for you. What You'll Own Automation & Systems • Design automations that eliminate manual work for AEs and SDRs, • Build and maintain integrations across Salesforce and adjacent GTM tools, • Improve lifecycle workflows that support complex deal cycles, • Build and optimize outbound workflows across CRM, sequencing, enrichment, and data tools, • Translate ICP and vertical strategy into account selection and prioritization systems, • Create scalable outbound motions that generate qualified enterprise pipeline, • Identify bottlenecks in pipeline creation and deal execution, • Build dashboards that surface leading indicators, • Work deeply in Salesforce and modern GTM tooling, • Use APIs, automation platforms, and light scripting where needed, • Evaluate new tools pragmatically, with scale and maintainability in mindWhat We're Looking For, • 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role, • Experience supporting enterprise or complex B2B sales, • Proven track record building outbound or pipeline automation, • Strong CRM fluency (Salesforce preferred), • Experience with sequencing and enrichment platforms If you're a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact — we'd love to meet you.

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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. 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 between France, USA, 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. See more about our culture on . Role Summary We are seeking an experienced Team Lead, Software Engineer to join our Cloud Deployments team. In this role, you will lead a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems. You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and influence cloud providers’ roadmaps. What you will do • 7+ years of relevant professional experience, with a track record of leading technical teams in complex infrastructure environments.• 2+ years of experience managing and leading teams with a proven ability to build teams, set roadmaps, and align objectives with business goals.• Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.• Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform) .• Ability to work with product, engineering, and business teams, as well as external partners.• Ability to communicate with influence What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionKontakt.io is building the platform that care operations run on. We reduce waste, cut costs, and improve revenue by improving throughput, asset utilization and staff productivity. Our platform uses AI, RTLS, and EHR data to enable self-learning agents to automate workflows, adapt in real-time, and orchestrate all of care delivery operations. Easy to deploy and scale, it gives a clear picture of spaces, equipment, and people, eliminating inefficiencies and enhancing the patient experience. With measurable 10X ROI and over 20+ use cases, Kontakt.io is the go-to platform for better and faster care delivery operations. We are looking for a Lead Software Engineer - SRE with a strong software engineering foundation and a strategic mindset to drive the reliability, scalability, and performance of our platform. This role is part of our Infrastructure Engineering team and will play a central part in shaping the architecture and direction of our SRE function. The ideal candidate brings a deep understanding of software engineering principles applied to infrastructure. Rather than maintaining systems, you will lead the design and build them, developing automation, tooling, and resilient architecture that enable high availability and fault tolerance across our entire AWS-based platform. You’ll work hands-on in designing resilient systems, improving deployment pipelines, and driving incident management practices. As a technical leader, you’ll also mentor engineers, shape technical strategy, and help build a culture of accountability, ownership, and continuous improvement across the organization.Responsibilities • Lead the design and implementation of scalable, fault-tolerant, and self-healing infrastructure and services across AWS and Kubernetes., • Collaborate with Product, Engineering, and Infrastructure teams to align SRE initiatives with business priorities and platform needs., • Define and drive adoption of SLIs, SLOs, and SLAs to ensure consistent performance and high reliability across the platform., • Own and evolve observability strategies using Prometheus, OpenTelemetry, Grafana, and related tooling., • Design and maintain infrastructure as code (Terraform) and drive GitOps best practices., • Oversee major incident response and on-call practices, including incident reviews and long-term remediation planning., • Mentor and support the growth of SRE and platform engineers, fostering a culture of engineering rigor and operational excellence., • Contribute to the long-term reliability roadmap and architecture of high-throughput, real-time systems in healthcare operations., • Drive process improvements in CI/CD, service ownership, chaos engineering, disaster recovery, and secure deployment.What You Bring, • 5+ years of experience in Site Reliability Engineering, Cloud Infrastructure, or Platform Engineering., • 5+ years of software engineering experience building production-grade systems (Java, Python, Go, or similar)., • Proven success scaling high-traffic, mission-critical platforms in SaaS, IoT, or healthcare environments., • Deep expertise in cloud platforms (especially AWS), Kubernetes, and distributed system architecture., • Hands-on experience with monitoring, logging, and observability tools (Prometheus, OpenTelemetry, Datadog, etc.)., • Extensive knowledge of CI/CD automation, GitOps workflows, and infrastructure-as-code (Terraform, Helm, ArgoCD)., • A track record of leading major incident response and running postmortems with a blameless, learning-focused approach., • Strong understanding of networking, access control, and security within regulated environments (HIPAA, SOC 2)., • A leadership mindset—able to drive cross-functional alignment, lead initiatives, and mentor a high-performance SRE team.Why You'll Love It Here, • Own Mission-Critical Reliability – Ensure hospitals and care facilities always stay online with a 99.99% uptime healthcare platform., • Scale AI-Powered Infrastructure – Work on real-time automation and self-healing cloud systems that orchestrate care delivery., • Drive Big Impact in Healthcare – Help reduce waste, optimize resources, and improve patient care with technology that delivers 10X ROI., • Automation-First Culture – Minimize manual ops with cutting-edge automation, observability, and incident response strategies.

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +3 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job Description This role is hybrid with 3 days a week in our NYC office. This position does not offer visa sponsorship now or in the future. Pinwheel - Building the future of financial services in partnership with the biggest brands "I love my banking app!" said no one, ever. Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We're building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, Acorns, Visa and more. If you're excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you. If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you. If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you! Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more. We're hiring a world-class Engineer Pinwheel is looking for a creative product-focused engineer that craves autonomy and impact in their role to work across Pinwheel's entire customer-facing stack. Product Engineering is at the heart of what we do here, and this role will help select and lead impactful projects that touch the surfaces our customers use every day. You'll work on a nimble team, working directly with cross-functional stakeholders across Engineering, Product, and Design, to execute this mission-critical work. You'll focus mostly on front-end engineering work (web app development and mobile SDK development), with some supporting back-end engineering work as well. Finally, you'll join a team known for high-velocity, high-quality output and contribute to leveling up that team through mentorship and continuous improvement of our processes and standards. What will you do? • Deeply understand our customer needs and design systems to meet them, • Architect and develop frontend experiences used by every Pinwheel customer, partner, and user, • Maintain and improve our admin and customer web applications, as well as our best-in-class web and mobile SDKs, • Support (and at times lead) the development of new products in the Pinwheel ecosystem, balancing high product velocity with quality and reliability, • Contribute to iterative technical quality: we pay down tech debt while we're working on new projects and expect you to be a leader in the responsible pay-down of tech debt, • Create and improve tooling, processes, and engineering standards across the team, • Mentor engineers and help the team growWhat qualifications are necessary?, • 5+ years of experience building and maintaining front-end or full-stack applications: data modeling, application logic, and user experience, • Prior experience working at an early-stage startup or small tech company, • Deep expertise with modern frontend web frameworks (React, Vue, etc.), • Experience working with modern back-end languages/frameworks (e.g. FastAPI, Django, Rails, Gin), • Prior experience working on mobile apps or libraries is a big plus, • Played key implementation roles in projects with multiple teams and engineers, • Desire to learn new systems and technology as our business evolves, • Ability to design systems and evaluate the tradeoffs in scalability, reliability, performance, and maintainability, • Passion for working closely with customers Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey. Build something revolutionary - Help build the products on the bleeding edge of financial services! Belong - Join a community that is passionate and relentless about building fairer financial systems for all. Benefits included: • Great compensation & equity packages, • Full medical, dental, and vision benefits, • Life & short-term disability insurance, • Flexible PTO policy that prioritizes recharge and balance, • Paid parental leave, • 401K for retirement planning, • Mentorship opportunities, • Free Citibike membership The expected cash salary range for this role is $160,000 - $190,000 base. Diversity & Inclusion at Pinwheel At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own the candidate journey from discovery to close, eliminating administrative friction and ensuring a world-class experience for every hire. * Create automated workflows that scale our reach while maintaining the level of personal touch required to attract talent. * Build a system to identify and engage candidates by treating the recruiting funnel with the same level of rigor as a sales or product pipeline. * Establish the narrative that attracts exceptional people to Clarion and ensures we are the first choice for the most ambitious candidates. Requirements * 2-4+ years in talent acquisition in high-growth SaaS or early-stage startups. You have a track record of identifying and landing high-caliber technical talent. * A clear, compelling communicator who can translate Clarion’s mission into a narrative that resonates with the most ambitious candidates. * Comfortable in fast-paced, unstructured environments. You are proactive about identifying process bottlenecks and solving them before they scale. * Ability to manage complex hiring projects from start to finish, coordinating across multiple teams with high precision. * Excited to work in-person at our NYC office. You are a good fit if * You believe the best companies are won or lost on talent density and speed of hiring. * You view hiring as a discipline that requires persistent optimization and modern tooling. * You’re highly organized and can balance multiple roles while maintaining a clear view of company priorities. * You move faster than the competition and understand that speed is a competitive advantage in talent acquisition. * You thrive in a fast-paced environment and want to shape the foundational culture of a company from day one. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your recruiting experience, how you've built pipelines for hard-to-fill roles, and your approach to creating hiring processes that scale. * Team Day (Half-day) [In-Person]: Visit our New York office to meet our team. You'll work through a recruiting challenge, showing your strategic thinking and operational rigor. You'll also get a sense of our company culture and working environment. If you're ready to build the talent engine that will transform healthcare communication, we’d love to hear from you. Compensation Range: $100K - $150K