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Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the VP of Financial Planning & Analysis and Chief of Staff to the CFO, the Senior Finance Engineer will play a critical role in designing and scaling the technical infrastructure that powers our finance organization. This is a highly strategic, hands-on role bridging software engineering and financial strategy. You will architect resilient, AI-powered systems to modernize finance operations, improve forecasting accuracy, accelerate close cycles, and reduce manual work through scalable systems and intelligent automation. This is a full-time hybrid role based out of our NYC office, with the expectation of 3 days in office. What You'll be Doing: AI & Automation Engineering • Own the design, testing, and iteration of automation systems across forecasting, reporting, reconciliations, revenue recognition, accruals, and scenario modeling, • Automate month-end close workflows to reduce cycle time while strengthening controls and audit readiness, • Discover new ways to access, connect, and "weaponize" new data sets – both internal and external – to develop intelligent dashboards and reporting systems providing real-time visibility into financial performance., • Collaborate with FP&A, Accounting, Strategic Finance, Data, and IT to translate finance priorities into scalable technical solutions, • Serve as a subject matter expert in Finance engineering best practices, educating Finance teams on automation and data-driven execution., • Oversee continuous feature enablement, adoption, and optimization across the tech stack (e.g. NetSuite, Pigment, Airbase), • Proactively monitor the AI tech landscape to evaluate new vendors and identify opportunities to maximize the efficiency, • Reduce Month End Close Time by at least 30 percent, • Finance Productivity: Reduce manual finance workload by 30 to 40 percent through automation., • Improve Forecast Accuracy: Across revenue and operating expenses by at least 20 percent, • 4+ years of demonstrable experience designing and deploying automation, AI, and/or ML systems in a Finance context, • 4+ years of experience in FP&A, Strategic Finance, Accounting or Finance Transformation, • Strong understanding of GAAP, financial modeling, internal controls, and reporting processes, • Experience integrating ERP systems, planning tools, data warehouses, and automation platforms, • Familiarity with modern AI/agent frameworks (e.g., Claud, ChatGPT, Gemini)., • Proven track record of leading cross-functional initiatives, driving adoption of new systems and workflows, and using metrics/outcomes to optimize., • Strong project management skills, able to translate strategic Finance objectives into technical execution., • A software engineering mindset: rigorous about testing, observability, data hygiene, and iteration cycles., • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description Job Title: Senior Software Backend Engineer - Remote or Hybrid 2-3 days a week Location: NYC, NY or SF, CA for hybrid BUT also open to Remote anywhere in the USA Job Location NYC, NY Remote Work Policy Remote or Hybrid 2-3 days with in office Wednesdays and Thursdays Relocation - NOT needed Client Overview: We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate. Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries. The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry. Client's own OS is a unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond. Our engineering team is here to power the software ecosystem to disrupt one of the most outdated and regulated spaces in the financial sector - the mortgage industry. We’ve built out the foundation of a modern mortgage servicing platform that can accurately handle billions of dollars at scale, but we’re just getting started. At Valon, we want you to do the best work of your life. You'll be surrounded by a tight-knit community of exceptional people from places like Stripe, Jane Street, Meta, and Google who care deeply about their work and each other. Our problem space is complex, but you’ll get a lot of autonomy so that you can learn quickly, execute effectively, and deliver the highest level of business impact. Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform. Our headquarters are in New York City, and this year, we’re excited to open a new office in San Francisco. Plus, we fully support remote work! Job Description: Scope of Role • Learn new concepts and technologies quickly and apply them to challenging problems, • Design and build robust and extensible infrastructure to handle evolving and complex federal, state, and agency regulations, • Dive deep to understand the inner workings of a highly complex industry, • Work with Product and Design to define the best experience for our customers, • Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform Interview Stages 3-4 interviews MUST HAVE SKILLS • Experience at a well known, high growth tech startup (see target companies below), • Backend expertise (front end engineers will be denied), • Minimum of 7-10+ years of software engineering experience, our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform., • Must live in the United States building quality software applications at scale, • Resume shows promotions/career progression, • The strong preference for this role is NYC or SF. Remote candidates are acceptable if they are currently at a well known fintech (ex. Stripe), • Strong communicator. Able to work cross-functionally to balance product and technical requirements, • Bachelor's Degree in Computer Science preferred, • Great at building scalable systems from scratch with a fast turnaround, • Experience with one or more of the following: web application development, mobile application development, building large-scale distributed systems, or infrastructure management, • Time management skills that will maximize efficiency in a fast paced startup environment BenefitsBenefits • Compensation: competitive salary with a meaningful stake in the company via equity, and 401k plan, • Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits, • Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient., • Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback, • Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!, • Generous time off: flexible paid time off, sick days, and 11 company holidays, • Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition

Job Description We Are: NoGood is a leading growth marketing agency, powering success for the world’s most iconic and fastest-growing brands from - TikTok, Nike, and Intuit to venture-backed startups defining new categories. We fuse creativity, performance, and data science to engineer breakout growth, AI-powered visibility, and brand focused strategies. We’re not just marketers, we’re growth architects, performance tacticians, and creative provocateurs. Our teams operate at the intersection of data, creative, and brand growth science. And we’re looking for someone just as ambitious to help us win the next generation of category-defining clients. The Role: We're hiring a Go-to-Market Manager; a hybrid role for a rare opportunity. Someone who can break down a project, propose sharp growth strategies, and pitch to win over entire rooms of decision makers. You’ll sit at the intersection of deal-making and growth marketing thought leadership, helping shape NoGood’s most exciting opportunities from first intro through final close. This isn’t just a sales role. You’ll be part strategist, part storyteller, part creative director; guiding brands through our capabilities, shaping winning proposals, and turning RFPs into real relationships. Requirements You’ll Do: Own Strategic Deal Cycles, Manage Pipeline, & Hit Sales Targets • Own and manage a full-funnel sales pipeline across multiple verticals and deal sizes; from proactive prospecting and qualification to leading high-impact deal flows through pitch & proposal., • Dissect complex RFPs and project briefs into structured proposals aligned with NoGood’s capabilities and differentiators., • Consistently meet or exceed monthly and quarterly revenue targets through disciplined pipeline management and follow-through., • Maintain exceptional data hygiene and forecasting accuracy in HubSpot (or similar CRM), tracking deal velocity, conversion rates, and lead sources., • Identify patterns, objections, and win/loss signals to continuously improve pitch effectiveness and sales operations., • Operate with urgency and rigor, balancing short-term deal execution with long-term relationship building and strategic growth planning. Act as a GTM Strategist & Consultant • Use a consultative sales approach to uncover needs, build trust, and deliver high-impact solutions aligned to client objectives., • Architect strategic solutions tailored to client goals and pain points across marketing performance, brand, creative, measurement, and AI-powered visibility., • Conduct high-level audits of web/social presence, creative assets, funnels, and paid programs., • Research competitive dynamics, category trends, and audience behaviors to inform strategy., • Build frameworks, roadmaps, and visual storytelling that excite C-suites, CMOs, and revenue leaders. Command the Room • Present with confidence, precision, and persuasion to diverse decision-makers — from growth leads to VPs and founders., • Translate technical and tactical marketing insights into clear, compelling narratives., • Build trust quickly, sparking client excitement and confidence in NoGood’s strategic approach. Collaborate Cross-Functionally • Partner with marketing, strategy, design, and analytics teams to build tailored pitch decks and proposals., • Work closely with the Director of New Business to sharpen messaging, materials, and market positioning., • Manage your own pipeline and forecast; balancing hustle with thoughtfulness. You Have: • 5+ years of experience in growth marketing, brand strategy, or business development — ideally within an agency or consultancy., • Client / Account Management experience is a strong plus, especially if you’ve drove upsells and account expansions., • A proven ability to sell complex, cross-functional marketing services (performance, creative, AI, content, etc.)., • Experience owning RFI/RFP responses, building pitch decks, and closing high-value deals., • Strong grasp of modern growth marketing concepts (acquisition, funnel optimization, paid media, lifecycle, CRO, AEO, etc.)., • Ability to think critically and creatively about brand challenges and consumer journeys., • A confident, articulate communicator with a flair for persuasion and storytelling., • Comfortable navigating ambiguity, juggling multiple deals, and working in a fast-paced, high-performance culture. Bonus Points: • Hands-on experience with marketing audits, analytics platforms (GA4, Search Console, HubSpot), or AI-powered marketing tools., • Prior exposure and work with early-stage, Consumer Tech, SaaS, and/or healthcare brands, • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: Hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $80,000–$100,000 base + commissions. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. About the Role We’re looking for a BackEnd Engineer to join our growing team at Fun.xyz and help architect the backend services that power our web3 payments infrastructure. This role is foundational to the success of our platform and will shape how payments, settlement, and transaction routing are handled across chains and payment providers. You’ll be working on high-performance, low-latency systems that support complex use cases like asset conversion, identity and security verification, transaction finality, and decentralized routing—while ensuring fault tolerance, scalability, and compliance across a global user base. Location: Midtown, New York, NY and Singapore (In-office Mon–Thurs, Remote Fridays) Team: Payments Infrastructure – Mid, Senior, Staff, or Principal Levels Responsibilities • Design, build, and maintain high-performance APIs and backend services that power our Web3 payments platform, • Build new features to further our product experience, • Collaborate with product and protocol teams to architect technical solutions that meet business requirements, • Write clean, well-tested code and participate in code reviews to maintain high engineering standards, • Contribute to incident response and debugging production issues to ensure system reliabilityRequirements, • Strong experience building production backend systems with modern languages, • Proficiency in Typescript, • Deep understanding of distributed systems, APIs, and database design principles, • Hands-on experience with cloud platforms and containerization technologies, • Solid grasp of computer science fundamentals including data structures and algorithms, • Strong problem-solving skills with ability to debug complex technical issues, • Clear communicator who can collaborate effectively with cross-functional teamsNice to Have (But Not Required), • Production TypeScript experience, • Previously worked at crypto startup or Web3 infrastructure company, • Experience with blockchain integrations, smart contracts, or DeFi protocols, • Background with high-scale payment processing or financial compliance systems, • Contributions to open source projects or technical writing

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things. This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.Mission • Build and operate core platform services that power production systems, • Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely, • Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging, • Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling, • Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing, • Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows, • Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractionsAbout you, • 5+ years of experience building backend systems in production environments., • Strong software engineering fundamentals (design, implementation, testing, reliability)., • Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Ability to build clean abstractions that other engineers actually want to use., • Solid understanding of Linux/Unix systems administration., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Strong ownership and bias toward action: you find the sharp edges and sand them down.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs)., • Background in scientific computing, robotics, or automation-heavy environments., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega).What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Required knowledge of: • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $145,057-$175,256 * Level 2 - Possesses developing capabilities * $175,256-$205,456 * Level 3 - Possesses notable capabilities. * $205,456-$235,655 * Level 4 - Possesses strong capabilities. * $235,655-$265,855 * Level 5 - Possesses advanced capabilities. * * $265,855-$296,054 About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

Job DescriptionAbout Us We are building the next generation of tax-advantaged separately managed accounts (SMAs) — a platform that fuses institutional-grade quantitative research, scalable technology, and hands-on client expertise. Our mission is to deliver hyper-personalized, tax-aware portfolios at scale. We're not looking for a “relationship manager.” We’re looking for an investment athlete who can sit at the intersection of clients, quants, and code — people who are fluent in markets, comfortable in Python, and credible in front of sophisticated allocators. The Role As a Senior Client Portfolio Manager (CPM), you’ll translate quantitative insights into client outcomes and answers. You’ll partner with portfolio managers, engineers, and customer success representatives, to customize portfolios, explain performance and risk, and help scale a platform that is redefining wealth management. This is a high-visibility role where you’ll be trusted to: • Engage directly with clients/advisors as an ambassador of the SMA platform., • Interpret portfolio data — exposures, tax trades, drift, risk — and explain in a way clients can act on., • Run analyses in Python (pull time series, diagnose factor exposures, validate tax trades, build quick diagnostic dashboards)., • Collaborate with research and engineering teams to translate client needs into features and workflow improvements., • Proactively monitor accounts for opportunities: tax-loss harvesting, transitions, customization, compliance with restrictions. What We're Looking For • 3+ years experience in asset management, wealth management, or investment consulting with direct client responsibility., • Strong command of equity markets, factor risk, and tax-aware investing., • Hands-on Python skills — you don’t need to be an engineer, but you must be able to slice data, run analyses, and speak the same language as quants and developers., • Ability to context-switch between technical deep dives and client-ready narratives., • Proven record of earning trust with sophisticated clients/advisors., • CFA charterholder, or equivalent advanced credential preferred. Why Join • Impact: Help define the future of tax-aware SMAs., • Exposure: Work alongside leading investment, quant, and fintech professionals., • Growth: Rapid career trajectory in a high-visibility, high-growth business.

Job DescriptionSalary: Senior Flutter Engineer About PropertyPilot PropertyPilot is an early-stage, AI-powered real estate platform that aggregates 170+ million tax and parcel records nationwideownership data, property assessments, comparable sales, mortgage information, and foreclosure filingsinto a single, mobile-first experience. Real estate is the largest asset class in the U.S. at over $85 trillion, yet remains one of the least efficient. We're changing that. Backed by an experienced SaaS founder and a seasoned product, engineering, and design team, we're building the tools that bring transparency and speed to real estate professionals, banks, insurers, and builders. The Role This is not a comfortable job. We're looking for a Senior Flutter Engineer who wants to build something that matters and is willing to do the hard work required to get there. You'll be a core contributor on a small, high-output team shipping a mobile-first platform that processes massive national datasets and delivers real-time, AI-driven insights to users in the field. You will own significant parts of the mobile applicationarchitecture, performance, reliability, and user experience. You'll operate with minimal hand-holding, make consequential technical decisions daily, and ship code that real users depend on. At an early-stage company, there is no hiding behind process or titles. The work is visible, the stakes are real, and the pace is relentless. What You'll Do • Architect, build, and maintain PropertyPilot's Flutter-based mobile application across iOS and Android., • Translate complex dataparcel records, ownership chains, mortgage and foreclosure filingsinto clean, performant, and intuitive mobile experiences., • Integrate with backend APIs, AI/ML services, and large-scale geospatial and property datasets., • Own technical decisions around state management, app architecture, navigation, and performance optimization., • Collaborate closely with product, design, and backend engineering to define and deliver features end-to-end., • Identify and resolve performance bottlenecks, particularly around map rendering, large data sets, and offline/low-connectivity scenarios., • Establish and uphold code quality standards through reviews, testing, and CI/CD practices., • 5+ years of professional software engineering experience, with at least 3 years building production Flutter applications., • Deep, hands-on knowledge of Dart and the Flutter framework, including widget lifecycle, state management (Bloc, Riverpod, or equivalent), platform channels, and performance profiling., • Experience integrating with RESTful APIs, GraphQL, or similar backend services., • Familiarity with geospatial data, map SDKs (Mapbox, Google Maps), or data-heavy mobile applications is a strong plus., • Proven ability to ship and maintain apps in both the Apple App Store and Google Play Store., • Solid understanding of mobile CI/CD pipelines, automated testing, and release management., • Team-first. You put the product and the company's goals ahead of personal ego. You do what needs to be done, whether that's architecting a new feature or fixing a tedious bug on a Friday afternoon., • Resilient. Startups are hard. Priorities shift, requirements evolve, and ambiguity is constant. You don't just tolerate thisyou operate well within it., • A risk-taker. You've chosen to join (or are choosing to join) an early-stage company because you want outsized impact and are comfortable with the uncertainty that comes with it. You're energized, not paralyzed, by building something from the ground up., • Direct and low-ego. You give and receive feedback openly. You admit when you're wrong and change course quickly. You care more about the right answer than being right., • Massive market, real problem. The U.S. real estate data ecosystem is fragmented and outdated. We're building the infrastructure layer to fix it., • Early-stage impact. Your work will directly shape the product, the architecture, and the engineering culture., • Strong foundation. Experienced SaaS founder, proven team, and a clear product visionnot a science experiment., • Competitive compensation. Salary, equity, and benefits commensurate with experience and the stage of the company.

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 searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Remote | United States $250,000 – $315,000 + Token + Performance Bonus AI | DeFi | Data Infrastructure | Automation Systems Snapshot Join a high-impact AI + DeFi venture incubated by one of the earliest and most influential protocols in the Ethereum ecosystem ($8B+ TVL). This role sits at the center of a major transformation — building an AI-powered governance engine designed to reshape how decentralized systems operate. This is not just backend engineering — this is architecting the foundation of AI-native governance systems at scale. Ideal Candidate Profile • Has built early stage systems in data / AI / backend-heavy environments, • Thinks in systems, not just services, • Comfortable leading in high-ambiguity environments, • Strong ownership mindset with execution speed What You'll BuildPhase 1 — Automation & Data Infrastructure Workflow automation (Notion database sync, governance pipelines) * Data pipelines across: * Blockchain nodes * DEX APIs * Lending protocols * Risk analytics data platform (accurate, historical, queryable) * Monitoring, validation, and deterministic systems Phase 2 — AI-Native Platform Foundations • AI agent infrastructure (execution environments, guardrails, provenance) Knowledge-work interfaces: * Tree explorers * Diff systems * Cognitive UI layers * Event-sourcing architecture + cryptographic proof systems * Human + AI collaboration tooling What You'll Do * Lead architecture and development of core platform systems * Build and scale automation engines + data infrastructure * Drive projects end-to-end: * Design build deploy iterate * Define engineering standards: * Testing * Observability * Reliability * Operate in a fast-moving, ambiguity-driven environment Tech Stack • TypeScript · Node.js · PostgreSQL · React, • Python / Go / Rust / Java, • APIs · Data Pipelines · AI Integrations What We're Looking For 5+ years building production-grade backend systems * Strong TypeScript / Node.js expertise (non-negotiable) * Advanced SQL + relational data modeling (PostgreSQL preferred) * Experience building data pipelines with third-party APIs * Proficiency in at least one: Python, Go, Rust, or Java * Proven ability to lead technical projects end-to-end Bonus: * AI/ML or agent-based systems * DeFi / blockchain experience * Event sourcing / complex system design * Open-source contributions Compensation & Benefits * $250,000 – $315,000 base * Token-based incentives * Performance bonuses * Work on systems with real-world financial impact Location & Eligibility Remote (United States only) * Must be US-based & authorized to work * Fully distributed, async-first environment Why This Role • Operate at the intersection of AI + DeFi + data infrastructure, • Build AI-augmented tools for knowledge work and governance, • Work on systems with real economic and protocol-level impact, • Join at a early stage / transformation phase with high ownership

Job DescriptionYou’ve Never Been Satisfied with "Good Enough." You want to make an impact, not just manage projects, but change how the world gets built. At Accenture Infrastructure & Capital Projects, you’ll do exactly that. You’ll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter, safer, and more sustainably than ever before. You’ll work alongside people who think big and act bold - project managers, engineers, technologists, and strategists who blend real-world experience with digital innovation and AI. Together, we’re transforming how capital projects are planned, managed, and executed, creating a better way to build for the future. Because “good enough” builds the past. You’re here to build what’s next, on a team that outperforms every norm. Visit us here to learn more about Accenture Infrastructure & Capital Projects As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure & Capital Projects LLP or one of our other legal entities - Accenture Infrastructure & Capital Projects, LLC or Accenture Infrastructure & Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details.THE WORK: • You’ll build, scale, and lead Accenture I&CP’s Clean Mobility capability on the U.S. East Coast, strengthening market presence, defining growth strategy, and delivering against priority accounts and revenue targets., • You’ll expand Accenture’s leadership in fleet decarbonization and zero‑emission mobility, with a focus on transit agencies, port authorities, municipalities, utilities, and select private‑sector fleet operators., • You’ll originate, shape, and close Clean Mobility opportunities spanning fleet electrification, charging infrastructure, depot modernization, grid interconnection, and long‑term decarbonization roadmaps., • You’ll serve as an executive sponsor for priority clients, building and sustaining senior‑level relationships and positioning Accenture as a trusted partner across the full program lifecycle., • You’ll lead and support business development, capture, and proposal efforts, shaping deal strategy, pricing, teaming models, and differentiated win themes., • You’ll identify emerging policy, funding, and regulatory drivers and translate them into actionable client opportunities and market offerings., • You’ll leverage and grow a strong East Coast Clean Mobility network, using existing relationships while establishing new strategic partnerships., • You’ll collaborate with Accenture’s Industry X, Utilities, Energy, Transportation, and Sustainability teams to bring integrated, cross‑portfolio solutions to market., • You’ll provide executive‑level technical oversight for fleet electrification and charging infrastructure programs, including fleet transition planning, phased deployments, and operational readiness., • You’ll guide charging strategy, load management, utility coordination, and interconnection, ensuring solutions are technically sound, scalable, and resilient., • You’ll advise on civil, electrical, and systems integration challenges, supporting constructability, risk mitigation, and delivery excellence., • You’ll support execution teams through escalation management and strategic guidance, ensuring programs meet schedule, budget, safety, and quality expectations aligned with Accenture standards., • You’ll recruit, mentor, and develop Clean Mobility talent across the East Coast, building a high‑performing, multidisciplinary leadership bench., • You’ll establish best practices, delivery frameworks, and repeatable offerings for fleet decarbonization and charging infrastructure programs., • You’ll contribute to thought leadership and market positioning, strengthening Accenture’s Clean Mobility point of view and brand leadership., • Bachelor’s degree in Engineering, Construction Management, Planning, Public Policy, or a related field; advanced degree preferred, • 15+ years of experience in transportation, energy, or infrastructure consulting, with a strong focus on fleet electrification or zero-emission programsBONUS POINTS IF YOU HAVE:, • Demonstrated success in business development and client leadership at the Sr. Director or VP level, • Deep familiarity with East Coast transit agencies, port authorities, municipalities, utilities, and/or private fleet operators, • Strong technical understanding of EV charging infrastructure, grid coordination, depot design, and fleet operations, • Proven experience leading large, multi-disciplinary teams and complex programs ($50M+ capital programs preferred), • Professional Engineer (PE) or similar credential is a plus but not required, • Excellent executive communication skills; able to engage credibly with C-suite, agency leadership, and technical teamsCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Illinois, Minnesota, California, Colorado, District of Columbia, Maryland, Massachusetts, New York, New Jersey, Ohio or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy StatementAccenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women.

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 Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 5+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership 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

Job Description Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io. As a Staff Solutions Engineer (SE) at Upbound, you'll be a vital part of our pre-sales team. This role will support all pre-sales efforts in North America across multiple segments. Once a lead is discovered and qualified, the Solutions Engineer works directly with the customer to understand the technical business problem they are trying to solve. They will help customers navigate and understand the value Upbound products and solutions bring them. Solutions Engineers build credible technical relationships with our customers by listening and then clearly communicating the value proposition of our products in a way that is contextualized to the customer's specific needs. Solutions Engineers are deeply familiar with Upbound's product roadmap and will intuit when to sell ahead of our product roadmap and when to focus on existing solutions based on the customer's medium and long term vision. Solutions Engineers are expected to deeply understand the key technical and economic buyer's personalities and what it will take to get them to sign a deal. In this role, you will: • Partnering with a Sales Account Executive to engage in technical discussions with customers throughout the buying lifecycle., • Working cross functionally with product marketing, and independently, to create and deliver high fidelity presentations, custom demos, sample solutions, and present use cases to guide the customer through the buying journey, • Closely partnering with customers and platform builders to solve technical and business challenges which enables them to design, build and implement Crossplane and Upbound Cloud based control plane architectures., • Working directly with customers and platform builders to define, implement, and test out early proof of concepts of Crossplane and Upbound Cloud., • Collect detailed customer requirements so product and engineering can accurately estimate and resource the necessary implementation services., • The technical voice and trusted advisor to the customer and represent the customer needs internally., • Worked in pre-sales, consulting, or equivalent experience in an enterprise environment., • Experience developing relationships with engineering, executive, and commercial teams throughout large organizations., • Guided customers through designing and deploying Kubernetes to their production environments., • A deep understanding of highly scaled and reliable services, solutions, and infrastructure in multiple major cloud providers., • Worked directly with customers and/or open source community members to troubleshoot and solve their complex technical issues preventing successful adoption., • Deployed and integrated the projects and tools of the Cloud Native Landscape, especially CNCF projects, into production environments., • A deep understanding of modern operational and application delivery tools and methodologies inside of production deployment workflows, like those from HashiCorp (e.g. Terraform), CI/CD, IaC, and GitOps., • The ability to work closely with people in a wide variety of disciplines from a wide variety of backgrounds., • Successfully managed multiple projects and priorities in a fast paced and dynamic environment., • Successfully identified and removed friction from the buying process resulting in a more streamlined and shortened sales cycle., • You are actively involved or have contributed to the upstream Kubernetes community., • You have a history of speaking at technology conferences, blogging/writing technical articles, and/or contributing to a popular open source project., • You have worked in a startup and distributed/remote team before, and understand the unique challenges of a startup environment. #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job DescriptionContractRemoteRole DescriptionAs an hourly paid, fully remote Ruby Engineer for AI Data Training, you will review AI-generated Ruby and Rails code or generate your own solutions, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for readability, maintainability, and correctness; identify errors in MVC structure, domain modeling, or control flow; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Ruby patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs, and your work will directly help improve the worlds premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.Your Profile • 12+ years of professional Ruby programming experience in production environments., • Strong understanding of Ruby on Rails, MVC architecture, and idiomatic Ruby patterns for structuring application code., • Hands-on software engineering experience building and maintaining Ruby or Rails applications, with exposure to real-world production constraints., • Ability to evaluate readability, maintainability, and logical correctness in Ruby and Rails code, including model, controller, and service-layer design., • Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating and reviewing their output., • Excellent English writing skills, capable of producing clear, structured, and pedagogical technical explanations and code reviews., • Minimum Bachelors degree in Computer Science or a closely related technical field., • Previous experience with AI data training, large-scale code review, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required., • Highly preferred: experience with frameworks and tools such as Ruby on Rails, Sinatra, and RSpec in real projects., • Preferred: merged PRs in Ruby open-source projects, experience with metaprogramming or test-heavy systems, and competitive programming exposure.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job DescriptionWe are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities:· Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR· Creating and maintaining data extraction, transformation, and loading processes· Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB· Implementing data lakes using S3 and related AWS services· Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude· Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases· Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex· Writing and testing SQL queries and stored procedures· Documenting technical solutions and providing knowledge transfer to customers· Supporting the implementation of data governance and security controls· Troubleshooting and resolving issues with data pipelines and AI services· Participating in code reviews and implementing feedback· Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following:· Technical familiarity with AWS data and AI/ML services and modern data engineering practices· Hands-on experience with ETL/ELT processes and data transformation· Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks· Ability to write and optimize SQL queries across various database platforms· Knowledge of data modeling concepts and best practices· Strong analytical and problem-solving skills· Eagerness to learn new technologies and keep up with cloud and AI innovations· Excellent communication skills with the ability to explain technical concepts clearly· Attention to detail and commitment to solution quality· Collaborative mindset with strong teamwork capabilities· Experience or interest in automation and infrastructure as code Required Experience for the Role:· Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development· Must have 2+ years of hands-on AWS experience with production deployments· Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)· Must have a proven track record delivering production AI applications from concept to deployment· Must have strong understanding of software engineering best practices (version control, testing, code review, documentation)· Must have experience working in agile/scrum environments with distributed teams· Must have excellent problem-solving skills and ability to work independently with minimal supervision· Must have strong written and verbal communication skills for client-facing interactions The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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 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 hiring a Director of Advisor Marketing to own its B2B marketing engine. We operate one of the largest marketplaces connecting investors with financial advisors. Our next phase of growth requires a high-agency B2B leader who understands the advisor ecosystem deeply: RIAs, broker-dealers, hybrid advisors - and can architect a scalable, modern, AI-native go-to-market motion. This role owns advisor pipeline growth across direct acquisition, lifecycle automation, firm partnerships and co-marketing initiatives, webinars and events, and multi-channel performance strategy. You will work directly with executive leadership and partner closely with a GTM Engineer to build systems - not just campaigns. This is a revenue-owning, systems-building leadership role. You will be hands-on. Responsibilities: • Own advisor pipeline growth targets tied to revenue outcomes, • Develop ICP segmentation across RIAs, hybrid advisors, and broker-dealers, • Craft clear positioning and messaging that resonates with advisors, • Design and oversee multi-channel acquisition strategy (Paid, LinkedIn, outbound, lifecycle), • Partner with PR to amplify customer success stories and social proof, • Develop scalable partner enablement assets (email sequences, case studies, marketing collateral), • Own webinar strategy end-to-end, including co-hosted events and post-event pipeline conversion, • Partner with GTM Engineer to automate workflows and standardize AI-driven GTM processes, • Improve MQL → SQL → Revenue conversion through structured experimentation, • Align tightly with sales leadership to ensure marketing drives measurable revenue, • 5–10+ years marketing to RIAs, broker-dealers, or fintech serving financial advisors, • Deep understanding of advisor psychology, objections, and buying cycles, • Strong command of B2B performance marketing fundamentals (paid, outbound, lifecycle), • Demonstrated ability to tie marketing programs to pipeline and revenue impact, • Experience leading webinars or event-driven pipeline programs, • Fluency with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.), • Quantitative orientation and comfortable working with attribution and funnel metrics, • High agency, strong execution velocity, and comfort operating in ambiguity, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • Fully Remote Work: All roles are fully remote within the contiguous U.S., giving you flexibility to do your best work from where you thrive., • Comprehensive Health Coverage: Multiple Medical, Dental, and Vision plan options through trusted national carriers—so you can choose what fits your needs., • Life & Disability Protection: Company-paid Life/AD&D coverage, with options to add supplemental life and disability plans for extra peace of mind., • Financial Wellness: 401(k) with employer match, pre-tax savings through FSA and HSA options, and equity packages offered for every role., • Time Off That Works: Generous vacation, sick, and parental leave policies—because balance matters. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* [] + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place.If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. We're looking for:A Growth Engineer (GTM Systems) who will be the technical architect of our engine for scale. We need a high-achieving individual to own the intersection of marketing, sales, and engineering—building the automated systems, data pipelines, and sophisticated tooling that power Nitra’s rapid expansion. You are someone who thrives on technical complexity and is obsessed with optimizing the lead-to-revenue lifecycle.Your responsibilities will include: • Building and maintaining robust data pipelines using Fivetran, BigQuery, and Sigma to ensure a single source of truth for GTM data, • Architecting deep lead enrichment workflows and automated outbound campaigns to drive high-volume, high-quality pipeline, • Managing the full marketing tech stack, including CRM integrations, drip campaigns, cookie tracking, and the ingestion of intent signals, • Owning Salesforce (SFDC) administration, including managing complex integrations via APIs and ensuring data integrity across the ecosystem, • Setting up and maintaining web properties on Replit and leveraging Clay for advanced sales automation, • Deploying AI tools to automate repetitive marketing tasks and enhance SEO campaign efficiency, • Collaborating with cross-functional teams to translate business requirements into scalable technical infrastructureYou have:, • A Salesforce (SFDC) Certification (Required), • A Bachelor’s degree in Computer Science, Software Engineering, or a related Engineering field. You approach GTM problems with the mindset of a full-stack engineer, prioritizing scalability, security, and clean architecture., • Advanced skills in Python (for data manipulation and automation scripts), TypeScript/JavaScript (for web development and server-side logic), and SQL (for complex data modeling and warehouse management)., • Deep expertise in data warehouse management and data pipeline tools (Fivetran, BigQuery, Sigma, or similar), • Proven experience managing APIs and complex integrations between CRM and third-party marketing tools, • Expertise in sales and marketing automation platforms, specifically Clay and specialized drip campaign software, • A strong understanding of the modern marketing tech stack, including SEO tools, cookie tracking, and intent data providers, • Hands-on experience using Replit for web development and deployment, • A track record of using AI tools to drive efficiency in GTM operationsWe offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win., • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra., • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options., • Retirement Benefits - Your financial stability matters to us so we provide a generous employer 401K match.

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 You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus 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 DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Sales Engineer at Amigo, you'll be the technical imagination behind every deal. You'll hack together compelling POCs, live demos, and experimental AI experiences that show prospects what's possible—not just what exists today. You're the person who takes a vague customer problem, disappears for a few hours, and comes back with a working prototype that makes the room say "holy shit." This role exists so our Agent Engineers can stay focused on production deployments and knowledge consolidation. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering—close enough to the product to build on it, creative enough to stretch it into new territory. This is a role for builders who get energized by innovation and experimentation. You'd rather prototype five ideas in a week than polish one for a month. You're excited by novel AI use cases and want to be the first person to explore what our platform can do in new clinical domains. What you'll do * Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases * Partner with AEs and the sales team during technical discovery to scope what's possible and shape deal architecture * Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences * Prototype experimental agent configurations that explore new use cases—pushing the boundaries of what our platform can do * Run technical deep-dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints * Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles * Translate technical objections into solutions during the sales process—security, compliance, integration feasibility * Collaborate with Agent Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations * Provide technical credibility in prospect conversations, bridging the gap between our platform capabilities and customer-specific needs * Feed insights from the field back to product and engineering—what prospects are asking for, what patterns emerge, where the platform should go next * Stay current on AI/LLM developments and competitor capabilities to maintain technical edge in sales conversations What we're looking for * 3+ years of experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company * Strong hands-on coding ability—you can build a working prototype, not just talk about one. Python proficiency required * Experience with LLMs, prompt engineering, and building on AI platforms * A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure * Genuine excitement for AI innovation and exploring experimental use cases—you follow the space obsessively * Ability to run a room—comfortable presenting to technical and executive audiences, handling objections live, and thinking on your feet * Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements * Experience working deals alongside account executives, understanding sales cycles and buyer psychology * Clear technical communication—you can explain complex systems to non-technical stakeholders without dumbing it down * Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment Nice to have * Experience in healthcare technology or regulated industries * Background as a software engineer who moved into a customer-facing role (or vice versa) * Familiarity with healthcare workflows, EHR systems, or clinical terminology * Experience building demo environments or sandbox platforms * Understanding of healthcare compliance requirements (HIPAA, SOC 2) * Track record of directly influencing deal outcomes through technical work Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $170K - $200K

Job DescriptionWe are seeking a Senior Software Engineer to join a high-visibility trading and compliance technology team supporting an in-house Trade Control platform. This system sits upstream of the OMS and plays a critical role in pre-trade compliance, controls, and stability across trading workflows. This is a hands-on, full-stack role with a strong emphasis on React front-end development, paired with backend services in .NET/C# and Python running on AWS-based microservices architecture. (Hybrid – 3 days onsite)Key Responsibilities • Build and enhance a front-end heavy React application supporting pre-trade compliance and control workflows, • Develop and maintain backend services using .NET/C# and Python within a microservices architecture, • Designed, deployed, and maintained scalable cloud infrastructure using AWS services, • Improve platform stability, performance, and scalability while delivering new features, • Work within AWS infrastructure across cloud-native services and deployments, • Own production support and issue resolution during U.S. hours, coordinating closely with offshore teams, • Collaborate with trading, compliance, and product stakeholders in a high-visibility environment, • Participate in design discussions and contribute to technical improvements across the platformRequired Skills, • 6–8 years of professional software engineering experience, • Strong hands-on experience with C#/.NET backend development, • Heavy front-end experience with React (modern frameworks, state management, performance optimization), • Developed and integrated APIs using GraphQL, • Experience building microservice architectures, ideally using Python for services, • Strong experience working in AWS cloud environments, • Experience supporting high-availability production systems, • Ability to independently own issues and drive resolutions, • Strong communication skills and experience working with offshore teamsPreferred Experience, • Experience within trading systems, compliance platforms, or financial services environments, • Exposure to OMS or pre-trade control systems, • Familiarity with distributed systems and cloud-native best practices

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionSalary: 120-150k salary + Benefits + Stock options + merit bonus Senior Software DeveloperSenior Java Developer with Reactive experience Overview of the RoleNinth Wave is seeking an experienced engineer to build, improve, and maintain application code under the direction of a senior team lead or lead engineer to meet business and technical requirements. The engineer must demonstrate the ability to efficiently build application code from the datastore layer all the way through to the API. The engineer will also maintain and patch systems, software, and applications to eliminate bug fixes, security vulnerabilities and maintain technology currency of systems and applications. In addition to traditional development, the engineer will be expected to leverage modern AI-assisted development tools and plugins to analyze existing codebases, improve quality metrics, identify vulnerabilities, and refactor or optimize existing implementations. This includes using AI-powered tools to assist with code analysis, testing improvements, performance tuning, and accelerating the development lifecycle while maintaining strong engineering standards. Other responsibilities include documenting design and engineering standards; developing to performance metrics and operational guidelines for consistent and stable design; and building and implementing operational processes. Must have prior work experience with Docker and reactive implementations of Java. Experience with Vert.x is a strong plus.Vision for this role:The company is looking to continue to expand functionality, enhance orchestration efficiency for scaling out and back in, and improve the overall high availability of our software products. The person in this role will help lead the expansion, modernization, update, and maintenance of our software services, including leveraging AI-assisted development practices to continuously improve the quality and maintainability of the platform. This role is based in our New York City office and follows the Company's current hybrid work policy.Responsibilities • Design, develop, and test back-end software, • Maintain, analyze, and refactor existing codebases to improve performance, security, and maintainability, • Use AI-assisted development tools or plugins to help analyze code, identify improvements, and accelerate development and refactoring efforts, • Maintain and update software documentation, • Participate in a distributed development team and collaborate on architecture and engineering best practices Qualifications • Experience withreactive implementations of Java, • Experience with Docker, • Proficiency in core Java programming language, • Experiencewith AWS, Azure, or GCP cloud, • Proficiency building APIs using Java (REST/JSON), • SQL or No-SQL experience, • Experience usingAI-assisted development tools or plugins for code analysis, refactoring, testing, or development acceleration, • Proficiency with Vert.x is a strong plus, • Financial servicesor Fintech domain experience preferred, • Bachelors Degree in Computer Science, Engineering, or the equivalent work experience Company Overview Ninth Wave is a permission-based SaaS platform that delivers secure data connectivity to financial institutions, offering configurable controls, visibility, and insights into all connections between aggregators, third-party apps, and internal applications. Ninth Wave empowers financial institutions, enabling secure data exchange in a holistic and scalable open finance ecosystem. Location:New York, NY

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 Cloud Platform team is a high-visibility team responsible for the interfaces to our customer-facing products. We own our cloud developer experience, providing our customers observability into their cloud resources and enabling effective, cohesive interfaces to manage them via our Console UI, REST/gRPC API, Infrastructure-as-code, CLI and SDKs. We also own our billing platform and administrative tools for internal and external customers. We're looking to grow our team across multiple experience levels to meet the growing demand for CoreWeave services. As a Backend Software Engineer on the Cloud Platform team, you will play a key role in designing, building, scaling, and maintaining the backend systems described above. You'll be working at the intersection of design, developer experience, and platform architecture to help scale CoreWeave's Cloud Platform. Some of what you'll work on: • Collaborate closely with cross-functional teams across CoreWeave, including frontend engineers, product managers and designers to shape the team's strategy and roadmap., • Design, develop, and maintain scalable, secure and performant backend services, APIs, and databases for our next-generation systems., • Participate in design discussions and architectural decisions to drive technical solutions that align with our business goals., • Contribute to software development best-practices, including writing maintainable and testable code and participating in thorough code reviews., • Debug and resolve production issues in a timely manner, providing high-level support when necessary., • 3+ years of Professional experience building and maintaining production-grade backend services., • Strong proficiency in one or more of Go, Python, or TypeScript., • Experience with authentication, authorization and security best practices., • Familiarity with observability practices including metrics and logging., • Solid understanding of CI/CD and software testing best-practices., • Solid understanding of database design and experience with SQL, • Excellent communication skills, with the ability to work effectively with both technical and non-technical team members., • Demonstrated ownership of code quality, performance, and maintainability from development through production., • Experience with Kubernetes and a conceptual understanding of its major components., • Prior experience building reliable and scalable platform services that process large amounts of data., • Proven experience with Prometheus/PromQL, including optimizing time series queries, and/or integrating Prometheus with large-scale systems for monitoring and analytics., • Experience with managing cloud infrastructure (AWS, GCP, etc.) 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 PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. PolyAI is seeking a Partner Solutions Engineer to serve as the technical backbone of our Alliances organization. This role sits at the intersection of partner enablement, customer value delivery, and integration architecture. You will support Systems Integrators in deploying PolyAI into enterprise environments, help ISV partners integrate PolyAI into their products, guide SI partners in building proprietary IP around our technology, and ensure that customers realize the full value of PolyAI through partner-led engagements. This role also carries a forward-looking mandate: you will lead the adoption of AI tooling and automation across the Alliances and broader GTM organization, identifying opportunities to use platforms like Claude and other AI tools to make internal workflows more efficient and to embed AI-driven practices into partner deployment processes. You will report to the VP of Alliances. What You'll Do:SI Deployment Support & Technical Oversight • Serve as the primary technical resource for SI partners deploying PolyAI into enterprise customer environments — providing architectural guidance, integration design review, and escalation support, • Ensure SI-led deployments meet PolyAI's quality standards for telephony integration (SIP/PSTN), CCaaS platform connectivity (Genesys, NICE, Five9), CRM integration (Salesforce, Dynamics 365), and back-office API interconnection, • Develop and maintain technical enablement materials, reference architectures, and deployment playbooks that allow SI partners to execute independently at increasing scale, • Design and deliver technical onboarding, workshops, and certification programs for SI engineering teamsISV Integration & Technical Partnerships, • Support ISV partners in integrating PolyAI's voice AI capabilities into their own products — scoping integration requirements, advising on architecture, and guiding partners through development to production, • Work with PolyAI's Product and Engineering teams to ensure ISV integration requirements are reflected in API design, documentation, and roadmap priorities, • Help ISV partners realize maximum value from PolyAI by designing integration patterns that deliver compelling end-customer experiences and unlock new revenue opportunities for the ISVIP Development for SI Partners, • Collaborate with SI partners to design and build proprietary accelerators, vertical solution packages, and reusable integration templates on top of PolyAI's platform, • Provide technical architecture guidance that enables SIs to create differentiated, repeatable offerings — such as industry-specific conversation flows, pre-wired EHR or PMS integrations, and analytics dashboards — that they can take to market as their own IP, • Ensure SI-built IP meets PolyAI's technical standards and integrates cleanly with the core platformCustomer Value Realization Through Partners, • Act as a technical advisor to ensure enterprise customers achieve maximum value from PolyAI deployments delivered through SI partners — reviewing solution designs, identifying optimization opportunities, and supporting post-deployment performance tuning, • Bridge the gap between PolyAI's product capabilities and partner delivery execution, ensuring that what gets deployed in the field reflects the full potential of the platform, • Gather technical feedback from partner-led deployments and channel it to PolyAI's Product and Engineering teams to drive continuous product improvementAI Tooling & Workflow Automation, • Lead the adoption of AI tools and automation platforms across the Alliances and GTM organization — identifying use cases where tools like Claude, OpenClaw, and other AI platforms can streamline internal workflows such as partner enablement, deal support, content creation, and pipeline management, • Embed AI-driven practices into partner deployment processes — exploring how AI can accelerate conversation design, integration testing, QA, and post-deployment analytics, • Serve as the internal champion for practical AI adoption, building lightweight proofs of concept and rolling out tooling that the team can use immediatelyThe Ideal Candidate, • 5–7 years of experience in solutions engineering, partner engineering, sales engineering, or technical consulting — ideally in enterprise SaaS, contact center, voice AI, or CX technology environments, • Strong technical architecture skills: you can design integration solutions across telephony, CCaaS, CRM, and API-based systems, review partner solution designs, and provide credible technical guidance without needing to write production code yourself, • Willingness and ability to roll up your sleeves when needed — comfortable working with APIs, scripting, and troubleshooting integration issues alongside partner engineering teams, • Experience enabling technical partners: you have built enablement programs, reference architectures, or certification curricula that allowed external engineering teams to deploy or integrate a technology platform independently, • Familiarity with AI and voice technologies — conversational AI, speech recognition, NLP/NLU, large language models, or contact center automation, • Genuine enthusiasm for AI tooling and automation — you actively use tools like Claude, ChatGPT, or similar platforms in your own work and can see how they apply to team-level workflow optimization, • Strong communication skills: you can translate complex technical concepts for non-technical stakeholders and present credibly to both partner engineering teams and executive leadership, • Self-directed and comfortable working across multiple workstreams simultaneously in a fast-paced, high-growth environmentWhat Will Make You Stand Out, • Direct experience in contact center or voice AI technology — working with platforms like Genesys, NICE, Five9, Amazon Connect, Twilio, or similar, • Background supporting channel partners or systems integrators in deploying enterprise software — not just direct customer implementations, • Experience helping partners build IP, solutions, or practices around a technology platform, • Hands-on experience with AI/ML tooling, prompt engineering, or building automation workflows using AI platforms, • Familiarity with vertical-specific systems: healthcare (EHR, HIPAA), hospitality (PMS, loyalty platforms), or financial services (PCI-DSS, core banking) In addition to salary, this position includes equity in the business, giving you the opportunity to share in the company's long-term success. Benefits 💰 Participation in the company's employee share options plan 🏥 100% of Single Cost (employee) and 70% of Dependent for medical, dental & vision 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description We are seeking an AI Research Engineer to build AI-driven systems that accelerate alpha discovery for a systematic quantitative hedge fund. This role focuses on leveraging advanced AI coding tools (e.g., Claude Code and other LLM-based agents) to design automated research workflows that generate new data variables, predictive signals, and systematic trading strategies. You will operate at the intersection of quantitative research, machine learning, and AI-augmented development — building scalable systems that materially increase research velocity and idea quality. Responsibilities • Design AI-assisted research pipelines for data ingestion, feature engineering, alpha generation, and backtesting., • Build agentic workflows that autonomously explore datasets and propose candidate signals., • Rapidly prototype and evaluate systematic strategies with robust validation frameworks., • Improve research efficiency by integrating AI coding agents into the quant workflow., • Partner with researchers and PMs to transition validated alphas into production-ready implementations. Requirements • Strong programming skills in Python and experience building research infrastructure., • Deep understanding of statistics, machine learning, and backtesting methodology., • Hands-on experience using AI coding tools (e.g., Claude Code, GPT-based agents) in a development workflow., • Experience in quantitative research, systematic trading, or alpha development preferred. Benefits • Competitive salary plus bonus based on individual and company performance., • Collaborative, Casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: • Design and deploy ML systems that solve high-impact business problems for critical workflows., • Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling., • Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping., • Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains., • Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization., • Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards., • Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows., • Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing., • Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards., • Design ML-driven pricing models for fixed income securities, derivatives, and structured products., • 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings., • Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership., • Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling., • Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus., • Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow)., • Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility)., • Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar)., • Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions., • Strong foundation in fixed income analytics, derivatives pricing, and risk management., • Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards., • Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: • Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $290,000-300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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 a Senior Software Engineer, you will develop backend systems that scale with Flow's growth. You’ll work on critical systems, collaborating with cross-functional teams to build secure, resilient services. In this role, you will actively solve complex problems with autonomy, proactively identify improvements, and take ownership of your work. We believe employees are better together. Every position at Flow has an onsite or in-office requirement.Responsibilities • Build and optimize APIs, backend services, and distributed systems., • Collaborate with frontend, product, and infrastructure teams to ship new features, supporting peers across teams and mentoring junior engineers., • Design, develop, and maintain scalable software solutions while communicating across teams and providing useful asynchronous context., • Conduct thorough testing and performance tuning to ensure reliability, connecting technical work to product impact and customer value., • Participate in architecture discussions, propose technical solutions, and handle loosely defined problems with creativity and insight., • Learn from failures, reflect, and work hard to improve under pressure, while elevating team outcomes and engineering quality.Qualifications, • 10-15+ years of backend software engineering experience, with a proven track record of impacts across multiple areas or services., • Strong understanding of distributed systems, API development, and cloud computing., • Experience with Kubernetes, Docker, and cloud-native infrastructure., • Proficiency in modern programming languages (Go, Python, Kotlin, TypeScript).

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job 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 DescriptionUnder the supervision of Chief Engineer, the Assistant Chief Engineer directs the activities of engineering staff and associated service contractors required to provide maintenance of the buildings, grounds, and related fixed and portable equipment, minor construction, and equipment installation. Responsible for supporting the implementation and documentation of site safety plans and all ABM Engineering Services’ operational standards and guidelines, as well as site specific standards, policies and procedures relating to the engineering department.REPRESENTATIVE FUNCTIONS OR DUTIES: • Provides management for engineering staff at the direction of the Chief Engineer., • Performs and administers the necessary preventive maintenance and operations work orders as well as provides applicable quality assurance inspections. Reports and collaborates with Chief Engineer on status and findings. Recommends improvements to the program and implements as directed., • Provides hands-on and classroom training for engineering staff and promotes an environment of learning and development., • Provides and manages stock levels on all engineering equipment and parts., • Schedule all activities of the Stationary Engineers and inspects work performed and materials used. Evaluates all work orders and assess priorities and distribute them to responsible staff for action, monitor progress, and adjust resources to accommodate emergency maintenance requests., • Reviews incomplete work orders and informs requestor of schedule changes. Provide regular reports to the Chief Engineer regarding any scheduled work delayed for parts, emergencies, or other reasons., • Schedule engineers for regular workdays, holidays, and vacation relief., • Prepares labor and material purchase requisitions and distributes for approval., • Maintain self-improvement program and keep abreast of new equipment, standards, codes, maintenance procedures and emergency response regarding hazardous materials., • Consistently maintain appearance that is appropriate, safe, and in accordance with ABM Engineering Services standards. Always display clean and visible identification., • Demonstrates commitment to quality of service., • Complies with ABM Engineering Services and site-specific policies and procedures., • Maintains regular attendance in the workplace., • Maintain building as-built drawings. Read, interpret, and understand., • Perform related duties as required., • Assist in planning and forecasting 5-year plans., • Report to management of the facility related issues., • Works with management on plant related and tenant related issues., • Develop, maintain and update the preventive maintenance program to comply with ABM Engineering Services, industry standards and site-specific requirements., • Set and maintain a professional work environment with staff., • Assure good communication., • Ensure standards of service and commitment., • Ensure compliance with safe practices and standards., • Develop goals for department, staff and self., • Build morale and a team approach., • Compliance with employment laws., • Support growth opportunities and potential.SKILLS / EDUCATION / EXPERIENCE:, • Experience that is commensurate with the specific facility for the position of Assistant Chief Engineer. Prefer 3+ years progressive operations experience., • Strong employee relation skills, coaching skills and training skills., • As required, highest-level relevant state/local license for stationary engineer and/or HVAC, plus universal level refrigerant recovery license., • BOMA accredited courses desirable., • Preferred: High-rise Fire Safety Director, Haz-Mat Certification, Indoor Air Quality Certification, LEED Certification., • Strong oral and written communication skills., • Ability to work with MS Word, Excel, and Outlook., • Computer skills and building automation systems experience required., • Certification meeting OSHA ACM awareness training requirements as required.

Job DescriptionRole: Founding AI EngineerLocationPrimary: New York CitySecondary Option: San Francisco Bay AreaAbility to travel will be criticalPS. - Please apply only if the location is suitable for your and you are willing to travel! Thank you! Job Overview As a Founding AI Engineer, you will play a pivotal role in designing and deploying machine learning systems that enhance our digital analyst platform for law enforcement. This hands-on position involves owning the core artificial intelligence and backend systems that process, search, and manage vast quantities of digital evidence, including calls, reports, and documents. Your expertise will be instrumental in designing retrieval and RAG pipelines for structured and unstructured data, ensuring investigators have quick and reliable access to critical information. You will prototype new models and tools, refining the most effective ideas into hardened systems that can be trusted by agencies. Collaboration with Forward-Deployed Engineers and field users will be vital, as you transform real-world feedback into concrete improvements in machine learning features and performance. You will also contribute across the stack, managing APIs and internal tools to ensure robust and maintainable AI functionalities. The ideal candidate will bring over three years of software engineering experience, with strong backend and ML/AI development skills, particularly in environments requiring distributed systems and data modeling. Your role will demand comfort with ambiguity, a thirst for impact, and seamless communication with both technical and non-technical stakeholders. Responsibilities This is a founding AI / backend engineering role. You'll design and ship the ML systems that power Closure's digital analyst for law enforcement—working closely with the founders, Forward-Deployed Engineers, and investigators in the field. What you will do: • Own core AI and backend systems that ingest, process, and search across large volumes of evidence (calls, reports, documents, transcripts, and more)., • Design and implement retrieval / RAG pipelines for unstructured and structured data, making it fast and reliable for investigators to find what they need., • Prototype with new models and tools (LLMs, embeddings, vector databases, observability stack), then harden the best ideas into production systems agencies can trust., • Collaborate closely with Forward-Deployed Engineers and users to turn real-world feedback from detectives and prosecutors into concrete ML features and ranking improvements., • Contribute across the stack when needed (APIs, internal tools, evaluation dashboards) to keep the overall AI surface area robust, monitored, and maintainable.Qualifications, • 3+ years of professional software engineering experience with strong backend fundamentals (distributed systems, APIs, data modeling) in a modern stack (e.g., Python + TypeScript/React or similar)., • Hands-on experience building and shipping ML/AI systems used by real users, ideally involving LLMs or other deep-learning models (not just research or PoCs)., • Experience with retrieval / RAG or similar architectures over unstructured text or multi-modal data (documents, transcripts, logs), including designing data pipelines and evaluation approaches., • Comfortable working end-to-end: from understanding investigator workflows and problem framing, to designing experiments, to deploying and monitoring models in production., • Field-Driven Engineer – Strong full-stack engineer (Python + modern frontend) who enjoys leaving the office, sitting with users, and seeing how software actually gets used in the wild., • Customer-Obsessed Problem Solver – Comfortable building trust with detectives and agency leadership, asking good questions, and turning messy requirements into clear product and technical decisions., • High-Ownership Operator – Thrives in tiny, fast-moving teams, takes full responsibility for deployments and outcomes, and is happy to do whatever the situation requires (from debugging to running training sessions)., • Mission-Motivated – Energized by improving public safety and the criminal-justice system, and comfortable working with sensitive, sometimes difficult case material., • Startup-Ready – Has prior experience in early-stage or talent-dense environments and is excited by ambiguity, rapid iteration, and having a big say in how the product and company evolve. Additional Details * • Salary: $125k-$185k, with potential for significant adjustments based on experience and ability up to 200k, • Equity: Meaningful ownership stake at founding-hire levels, • Bonuses based on company performance, • Benefits:, • We contribute 3% to your 401(k), regardless of your own contribution, • Unlimited PTO, • Health, Dental, • Paid Short- & Long-term Disability Insurance, • Paid Life Insurance, • Criminal Justice:, • Criminal Justice Ready: Given the sensitivity of our work, we support employees through FBI background checks / CJIS clearance processes

Job Description Company Overview: TrueGrowth is a forward-thinking company committed to empowering organizations with cutting-edge AI solutions. Our team thrives on innovation, collaboration, and a passion for transforming ideas into impactful technology. We are looking for an AI Engineer to help us shape the future of intelligent systems. Position Summary: As an AI Engineer, you will design and implement advanced AI models and algorithms that drive our products and services. Youll work closely with data scientists and product teams to develop solutions that leverage machine learning, natural language processing, and more. How to Apply: If youre ready to push the boundaries of AI technology, we want to hear from you! Please send a message on Instagram to @genomiller26! Key Responsibilities: * Design and develop AI models and algorithms to solve complex problems. * Collaborate with cross-functional teams to integrate AI capabilities into existing products. * Analyze large datasets to extract insights and improve model performance. * Stay current with industry trends and advancements in AI technology. Qualifications: * Strong experience in machine learning frameworks (TensorFlow, PyTorch, etc.). * Proficiency in programming languages such as Python, Java, or C++. * Familiarity with natural language processing and computer vision techniques. * Excellent problem-solving skills and a passion for AI innovation. Why Join Us? * Flexible Work Environment: Enjoy the freedom of remote work while engaging in groundbreaking AI projects. * Growth Opportunities: We believe in nurturing talent. Optional career coaching services are available to support your professional development at no risk—if you dont find it beneficial, theres no obligation to continue. * Dynamic Team Culture: Be part of a team that values creativity and collaboration, where your contributions are pivotal to our success. How to Apply: If youre ready to push the boundaries of AI technology, we want to hear from you! Please SEND A MESSAGE on Instagram to @genomiller26!

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. As an Inpatient Auditing Specialist you will be instrumental in addressing consulting and educational needs related to coding quality, compliance assessments, external payer reviews, coding education, interim coding management, and coding workflow operations reviews. In this role, you will offer meaningful information tailored to exceed customer expectations, actively identifying and presenting solutions for customer issues. This role is fully remote with a flexible schedule, allowing you to help shape the future of healthcare from your own workspace! * You Will: • Conduct inpatient coding audits on medical records, utilizing ICD-10-CM, CPT, and appropriate coding references for accurate DRG and APC assignment., • Review non-CC/MCC records to assess proper coding or identify the need for additional documentation. Scrutinizes all HCPCS and CPT codes influencing APC assignment., • Provide coder education through the auditing process., • Prepare preliminary results for review by the facility or CCS HIM director., • Review disagreements on APC/DRG changes with the appropriate manager., • Prepare the final reports for the coding audit and actively participates in the resolution of audit findings., • Provide coder education via email and/or conference calls, utilizing the audit spreadsheet findings and comments., • Attend coding workshops as necessary., • Stay current with regulatory changes., • Organize and prioritize multiple cases concurrently to ensure departmental workflow and prompt case resolution., • Demonstrate versatility and exceptional work across a wide range of coded services., • Meet with client facility representatives to discuss issues and trends identified in audits., • Develop and implement education for physicians, nursing, and other clinical staff to enhance documentation., • Communicate effectively with co-workers, management, and hospital staff regarding clinical and reimbursement issues., • Function in a professional, efficient, and positive manner., • Adhere to the American Health Information Management Association's code of ethics., • Maintain a customer-service focus and exhibits professionalism, flexibility, dependability, a desire to learn, commitment to excellence, and commitment to the profession., • Conduct audits on external coding staff as needed and provides reports to the manager as directed., • Handle a high complexity of work functions and decision-making. What you will bring to the table: • 3+ years experience coding and auditing, • Associate or Bachelor's degree from an AHIMA-certified HIM or Nursing Program, or completion of a certificate program from AAPC with a preference for CCS, • Preferred: CCS, RHIT, or RHIA credentials., • Recent experience in academic/level 1 trauma centers, • Experience coding and auditing inpatient and outpatient records for various facilities, • Track record of acceptable productivity standards, • Maintain 95% accuracy rate for APC assignment and 95% productivity rate, • Experience with various software including EMR, Encoder and Auditing software Perks: • Benefits for Full-Time employees: Medical, Dental, Vision, 401k Savings Plan w/match, 2 weeks of paid time off, and Paid Holidays, Floating Holidays, • Free CEUs every year, • Stipend provided to assist with education and professional dues (AHIMA/AAPC) If Applicable, • Equipment: monitor, laptop, mouse, headset, and keyboard, • Comprehensive training led by a credentialed professional coding manager, • Exceptional service-style management and mentorship (we're in this together!) We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges for this position are developed with the support of benchmarks (competitive San Francisco rates for US-based roles) and industry best practices. We're building a high-growth, high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute, the best ideas win, and personal growth is driven by expanding impact. This means we default to simple job titles (e.g., Software Engineer) rather than complex ones (e.g., Senior Software Engineer). Pay ranges for this job title may differ based on location, responsibilities, skills, experience, and other requirements of the role. The estimated base pay range per hour for this role is:$35—$45 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Who we’re looking for… Role: Senior Full Stack Engineer Team: Engineering Reports To: Head of Engineering Location: Knit’s NYC office (Hybrid) Operating hours: Monday - Friday 9am - 5pm EST. Travel: This role will occasionally be expected to travel for in-person internal working sessions, and our once per year US All Team Summit. [To be less than 15%] A little about us… Knit is building the agentic AI platform that helps enterprise brands run end‑to‑end consumer research. We orchestrate specialized AI agents for surveys, data collection, analysis, and reporting, delivering decision-grade insights to Fortune 1000 brands in hours, not weeks. In under two years, we’ve partnered with 50+ leading enterprise brands, including Amazon, Mars, NASCAR, JBL, ESPN, and Paramount. Knit has grown 500% in the last 12 months and raised $30.6M to date, including a $16.1M Series A in July 2025. Here are example case studies that demonstrate the value of our platform. A product demo can be found here. Overview We’re building our foundational NYC engineering team from scratch and looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As one of the first in-house engineers, you’ll shape the core of our platform and the culture of a team that will scale to 20+ over the next 18 months. You’ll build and orchestrate AI agents, pioneer new UX paradigms, and tackle some of the hardest problems in applied AI with autonomy and end-to-end ownership. Business Impact | What you will own… • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You’ll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.This role is for you if..., • You’re a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You’re a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren’t opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You’ve got grit: hard problems energize you, context switching doesn’t scare you, and you’re comfortable deleting code.This role is NOT for you if..., • You see a hard line between "frontend," "backend," and "product.", • You are uncomfortable with ambiguity, rapid context-switching, and dynamic priorities., • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we’re building the NYC hub together; whiteboards > long threads. Upon joining the Knit team in this foundational role, you will receive a competitive salary, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the expected base salary range for this role is $200,000–$275,000 annually; final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Powered by JazzHR aYoi81irtu

Job DescriptionWho we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place.If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day.. We're looking for:A Backend Engineer with experience in Fintech or marketplaces who will be at the forefront of our mission to bring better finance solutions to millions of businesses in the United States. We need high-achieving and goal-oriented individual who will help Nitra to deliver on an ambitious roadmap of innovative banking and SaaS products.Your responsibilities will include: • Independently communicate with Customer Support to investigate and resolve customer-reported issues., • Design database schemas and APIs for small-to-medium scoped features., • Implement features following internal engineering principles and guidelines., • Provide estimates for their own work and communicate progress and risks proactively to the team.You have:, • Deep experience with and understanding of:, • JavaScript (5+ years), • Node.js (5+ years), • Express.js framework (2+ years), • APIs (5+ years)/Building fintech backend APIs (1+ years), • Databases (PostGreSQL) (2+ years), • Architecture (2+ years), • Fintech web applications (1+ years), • The ability to see challenges as opportunities to level up. High-achieving and goal-oriented. A self-starter, you are always able to understand the bigger picture, and take a leading role to impact it., • A collaborative spirit and the ability to communicate effectively with stakeholders, Highly collaborative and transparent in your work, output, and decision making., • A winning mindset and entrepreneurial spirit., • Passion for creative thinking and bold ideas for growing the business/enhancing customer experience. Always curious, ready to ask questions, and open to being questioned., • Expert time management and organizational skills., • The desire to be mentored by a unicorn founding CTO and engineers with experience at top notch companies like Facebook. We offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win, • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra, • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options., • Retirement Benefits - Your financial stability matters to us so we provide a generous employer 401K match

Job DescriptionWe’re looking for an engineering manager who is inspired to mentor, grow, and help teams succeed, especially when the team is still small and nimble. You’re an experienced people manager and adept project manager who can guide developers to perform at their best and also remove any blockers that may appear. As an engineering manager, you’ll lead a team of product developers as they build new features for our core web app. You’ll keep the team engaged as we scale up; make sure that projects are running without a hitch; and bridge the gap with Product & Design to make sure that what we are building is on target and prioritizing customer value. As we onboard bigger customers and continue to evolve our product, you’ll guide your team to execute with efficiency, and consistency.Responsibilities • Conduct weekly 1-1s with your direct reports. Mentor, coach, and train your reports on how to set quarterly goals, create plans to achieve them, and unblock any obstacles along the way, • Run the weekly engineering all-hands team meeting; set the agenda, encourage participation from the team, and ensure meeting runs efficiently, • Help the project team to coordinate their work; collaborate effectively with other functions; identify, communicate and reduce risk; run effective meetings and periodic project retrospectives, • Update and improve the Engineering onboarding process and documentation, ensuring that the next new hire onboarding is completed faster and easier than your own, • Work closely with the recruiting team and hiring panel to identify, vet and hire the best candidate for the teamRequirements, • 3+ years of experience building and managing engineering teams, • 5+ years of experience as a Data Engineer or Software Engineer developing production code, • Results-oriented with a strong customer and business focus, • Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments, • Able to communicate and discuss complex topics with technical and non-technical audiences

Job Description We’re looking for a senior, hands-on software engineer to design, build, and operate LLM-powered and agentic workflows that support real production use cases—not research demos. This role sits at the intersection of backend engineering, applied AI, and production infrastructure. You’ll work on systems that handle sensitive healthcare data, integrate AI into user-facing workflows, and run reliably at scale under strict security and compliance constraints. This is an individual contributor role with high ownership. You’ll be expected to make pragmatic technical decisions, collaborate closely with product and operations, and help shape how AI capabilities are integrated into the broader platform. What You’ll Be Doing * Designing and operating LLM-powered and agentic workflows end-to-end * Integrating AI capabilities into backend and product workflows * Building and maintaining secure, compliant systems for sensitive healthcare data * Making technical decisions around security, compliance, cost, performance, and scalability of AI workloads * Implementing monitoring, alerting, and observability for AI pipelines and production services * Collaborating cross-functionally with engineering, product, and operations teams * Mentoring engineers on backend best practices and applied AI workflows Must-Haves * 5+ years of professional software engineering experience * Strong backend and/or full-stack engineering background from B2B SaaS or product-driven startups * Experience deploying secure, reliable systems on cloud platforms (AWS, GCP, or Azure) * Demonstrated ability to build and operate production systems, not just prototypes * Comfort working with non-engineers and translating product requirements into technical solutions * Hands-on experience integrating LLMs into real applications (prompting, orchestration, evaluations, or agents) This role favors engineers who have owned AI workflows in production, not candidates coming purely from research, data science, or director-level roles. Nice-to-Haves * 1+ year of experience designing AI workflows end-to-end in production * Experience leading AI infrastructure or platform projects at an early-stage startup * Contributions to engineering architecture or coding standards * Experience with containerization and orchestration (Docker, Kubernetes) * Infrastructure-as-code experience (Terraform, Pulumi) * Exposure to early-stage product ideation for AI-enabled features What This Role Is (and Isn’t) * A senior IC role with strong ownership * Applied AI + backend engineering, focused on real users and real constraints * Startup environment with cross-functional collaboration * Not a director-level or people-management role * Not an AI research or purely scientific role * Not suitable for candidates without hands-on LLM or agentic workflow experience * Not remote-only or relocation-friendly Location & Work Setup * Location: New York City * Work model: Hybrid (in office Monday, Wednesday, Thursday) * Relocation: Not available * Visa sponsorship: Available Compensation * Base salary: $190,000 – $250,000 * Equity: Offered (details TBD)

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job Description Fullstack Engineer (Frontend‑Leaning) – NYC Onsite A fast‑growing, venture‑backed AI startup is hiring Fullstack Engineers to help build the next generation of intelligent tools for in‑house legal teams. This is a high‑ownership role for engineers who want to ship quickly, work across the stack, and grow alongside a senior engineering team solving complex, real‑world problems. We’re building modern, intuitive, customer‑facing applications that streamline legal workflows and eliminate repetitive tasks. If you thrive in fast‑moving environments, enjoy working closely with founders, and want to help shape a product from the ground up, this role is an excellent fit. Role Overview As a Fullstack Engineer, you will contribute across the frontend and backend, with a strong emphasis on React. You’ll collaborate with experienced engineers, ship production features, and expand your scope rapidly as the team scales. Key Responsibilities • Build and maintain React components and customer‑facing UI features., • Develop and support backend services using Node.js and TypeScript., • Work within a cloud‑native environment (GCP preferred)., • Participate in agile workflows: write user stories, estimate tasks, and deliver high‑quality code., • Ensure code quality through testing, code reviews, and monitoring., • Troubleshoot production issues and contribute to operational excellence., • Collaborate with senior engineers on architectural decisions and engineering best practices. Must‑Have Qualifications • Bachelor’s degree in Computer Science or related technical field., • 1–2+ years of fullstack development experience (React + Node.js)., • Strong understanding of JavaScript/TypeScript fundamentals., • Familiarity with GCP or another major cloud platform., • Experience building customer‑facing applications (not just internal tools)., • High ownership mindset, strong problem‑solving skills, and adaptability in a fast‑paced startup environment., • Interest in legal technology and solving complex workflow problems., • Based in NYC or willing to relocate (relocation assistance available). Strongly Preferred • Experience with SQL and Postgres., • Strong GitHub presence, side projects, or open‑source contributions., • Prior startup experience (internship, seed‑stage, or Series A–C)., • Experience working on complex, production‑level systems., • Former founder or early team member experience. Not a Fit If • You prefer slow‑moving environments or traditional enterprise engineering., • You lack interest in legal tech or early‑stage startup work., • You have exclusively worked at non‑tech companies (banks, healthcare, etc.)., • You are overly specialized in frontend only or DevOps only., • You struggle with fast feedback cycles or high‑urgency execution. Compensation & Location • Salary: $110,000–$150,000 (based on experience, interview performance, and location)., • Equity: Competitive early‑stage equity package., • Location: New York City (onsite or hybrid)., • Relocation: Up to $10,000 for qualified candidates. Why This Role Stands Out • Work directly with founders and senior engineers., • Build real, customer‑facing features used by modern legal teams., • Join a small, high‑impact engineering team (currently ~8 engineers)., • Grow quickly into broader responsibilities as the company scales., • Contribute to a product with real customers and strong early traction.

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

Job 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 this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • 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 $227,000 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 DescriptionAbout Loop:Loop AI is a San Francisco-based tech company founded in 2022. We provide a Delivery Intelligence Platform for data-driven digital food brands, helping them optimize operations and make informed decisions. Loop is at the forefront of innovation in the food-tech sector. About the Role:At Loop, we value a growth mindset, passion for startups, product curiosity, and a hunger for continuous learning. We believe that the collaborative spirit among our peers is the lifeblood of our startup. As a Senior Backend Engineer, you will play a crucial role in designing the ideal backend system architecture, addressing customer pain points, and contributing to the overall success of our platform.Key Responsibilities: • System Architecture:Develop an ideal backend system architecture to solve problems efficiently.Create strategic plans to achieve the long-term vision while delivering shorter-term solutions that provide immediate value to our customers., • Customer Interaction:Engage with customers to understand their pain points. Collaborate on brainstorming sessions to devise innovative solutions that enhance the customer experience, • Critical Thinking: Apply critical thinking to problem-solving, starting from the ground up. Challenge existing solutions and propose novel approaches free from bias.What We're Seeking:, • 6+ years of relevant professional full-time experience building backend systems for Senior roles., • Proactive self-starter capable of independently solving problems., • Write clean and maintainable code using Python, Django, PostGreSQL / any relevant backend stack, • Troubleshoot and debug issues in the backend system

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

Job Description About Amigo Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year. About this role As a Staff Full-Stack Engineer at Amigo, you'll own the technical direction of the foundational applications that power clinical operations. Three products: Control Center for real-time oversight of agent conversations, Research Platform for natural language queries over healthcare data, and Agent Forge for designing agent behavior without code. You'll drive architecture decisions, establish engineering standards, and build systems that scale. These applications handle sensitive patient data and support clinical workflows—correctness and reliability are non-negotiable. You'll mentor engineers, shape technical culture, and ensure we maintain elite engineering standards as the team grows. What you'll do * Own technical architecture and system design across Control Center, Research Platform, and Agent Forge * Drive engineering standards for code quality, testing, observability, and incident response * Architect real-time systems for clinical oversight—streaming conversations, escalation workflows, audit trails * Design the technical approach for natural language queries over healthcare data * Architect no-code tools that enable non-engineers to design and configure agent behaviors * Design APIs, data models, and caching strategies that support real-time streaming, voice, and multi-channel communication at scale * Own authentication, authorization, and audit logging architecture for healthcare compliance * Make build vs. buy decisions and evaluate technical tradeoffs across the platform * Mentor engineers and establish patterns that raise the bar for the entire team * Collaborate with agent engineers, clinicians, and customers to understand complex workflow requirements * Define and maintain shared component libraries, design system, and development infrastructure What we're looking for * 7+ years of production full-stack engineering experience, with significant time at elite engineering organizations * Expert-level React/TypeScript skills with deep understanding of performance, rendering, and state management * Strong experience building Python backend services, REST APIs, and distributed systems * Proven track record designing systems that scale—you've built and operated high-traffic production applications * Deep understanding of real-time systems (WebSockets, streaming, event-driven architectures) * Experience with relational databases, data modeling, query optimization, and caching strategies * History of establishing engineering standards and mentoring engineers * Extremely high standards for code quality, reliability, and operational excellence * Both execution-oriented and defensive-minded: you ship fast while anticipating failure modes * Strong product instincts—can translate ambiguous requirements into robust technical solutions * Excellent written and verbal communication across engineering and executive stakeholders Nice to have * Experience with healthcare applications or regulated industries (HIPAA, SOC 2) * Background with voice/telephony systems or real-time communication protocols * Experience building no-code/low-code platforms or developer tools * Track record building and scaling engineering teams * Understanding of accessibility requirements for clinical software * Experience with mobile development (React Native, iOS, Android) Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $220K - $260K

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Member of Technical Staff – AI/ML to design, build, and deploy AI-powered systems that solve real-world financial operations challenges. You’ll take state-of-the-art AI research and translate it into production-grade features that deliver measurable customer impact. From intelligent invoice matching to automated payment reconciliation, you’ll create scalable, reliable AI applications that integrate seamlessly into our platform. This is a hands-on role for an engineer who thrives at the intersection of AI innovation and practical business application — turning cutting-edge models into real-world value for midmarket CFOs What You’ll Do * Build & Deploy: Create production-ready AI applications that directly address customer financial workflow challenges. * Optimize AI Features: Implement and refine capabilities like invoice matching, payment reconciliation, and financial document processing. * Adapt & Fine-Tune Models: Apply and optimize LLMs, RAG systems, and other AI architectures for specific financial use cases. * Engineer for Scale: Develop robust AI pipelines from data ingestion through inference, ensuring reliability, scalability, and maintainability. * Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations. * Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions. * Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes. You Might Be a Fit If You… * Have 5+ years of software engineering experience, with at least 2 years focused on applied AI/ML in production environments. * Have integrated and fine-tuned LLMs for real-world applications. * Have built retrieval-augmented generation (RAG) systems for document-intensive workflows. * Understand MLOps best practices, from model deployment pipelines to monitoring and A/B testing. * Are fluent in Python and experienced with PyTorch, TensorFlow, and Transformers. * Have shipped AI products that solved real business problems — not just prototypes. * Have strong experience with data preprocessing and feature engineering for AI. * Can translate business requirements into clear, impactful technical solutions. * Have experience integrating AI systems into existing enterprise platforms. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $220K - $375K

Job DescriptionDiscovery IT System AdministratorEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are looking for a software engineer to help take concepts from ideas to product. You will work directly with our strategy team and business partners to identify high-value, AI-feasible opportunities, shape product direction, and execute quickly. You’ll own the full product cycle including: discovery, prototyping, building, shipping, and iteration, often across multiple projects at once. This is a hands-on role for someone who thrives in ambiguity, moves fast, and likes being close to customers. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • You should have:, • 3+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Salary: $110 - 140k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.