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Job DescriptionReady to turn your passion into a career? Do you dream of working in a dynamic and fast-paced logistics environment, supporting major events in sports, music, automotive, fine art, and film? Want the chance to collaborate with some of the biggest names in entertainment, media and luxury? Look no further! We’re looking for talented and passionate individuals like you to join our logistics team. Rock-it Cargo, a division of The Rock-It Company, brings iconic moments to the world. We’re proud to enable the world's moments in live events across live touring, sports & broadcasting, film & tv and experiential events. Rock-it Cargo operates seamlessly around the globe, bringing life-changing experiences to millions of people every year. This is a full time Warehouse Agent position with opportunity for overtime and career growth. The ideal candidate will have a great opportunity to learn about project-based logistics and operations with room to grow within the company. We are looking to welcome someone with a bright and quick disposition to the Rock-it Cargo team. Location: Inwood, NY Job Type: Full Time / 40hours + Hours Weekend work Warehouse Worker Essential Duties: • Accepting and processing incoming materials, • Picking and filling orders from stock, • Packing, wrapping, labeling and/or shipping orders, • Managing, organizing, and retrieving stock in warehouse, • Loading and unloading trucks/ocean containers, • Building and breaking down skids/airline pallets, • Warehouse Experience (1-3 years), • MS Outlook, Word, Excel, and basic computer knowledge, • Good prioritization, planning and time management skills, • Attention to detail and proactive problem solving, • Pass a security background check, • Must possess valid identification, preferably a valid driver’s license, • Must be able to lift 100 lbs., • Must be able to operate forklift and plastic bander What The Rock-It Company Will Offer You: A growing logistics platform within the entertainment and luxury import/export logistics industry providing unrivaled experience and expertise for live events, touring, sports, luxury auto and art freight forwarding. Our teams serve as the premier freight forwarders handling some of the world’s biggest concerts, festivals, and sporting events for many high-profile clients across the music & sports industries to make the greatest shows and events possible across the world. Work with some of the most well-known and successful companies in the world. Your work will make an impact and be appreciated by others. Benefits & Perks That Rock! • Recharge & Reset: Enjoy a generous PTO package with 18 vacation days, 2 floating holidays, 7 sick days, and 11 paid holidays annually. We know work-life balance is key., • Your Health, Our Priority: Comprehensive medical, dental, and vision plans are just the start. Get employer contributions to your HSA if you choose a high-deductible health plan, plus access to convenient telemedicine through MDLive and mental health support through our Employee Assistance Program., • Financially Fit: Secure your future with our 401(k) match and comprehensive employer-funded insurance (Basic Life, AD&D, Short-Term Disability, and Long-Term Disability)., • Family Matters: Welcoming a new addition? We offer generous paid parental leave for all parents., • Perks with a Purpose: Grow professionally with Continuing Education Reimbursement, give back with Charitable Donation Matching, and even snag free tickets to client events (when available)!, • Culture Club: We love to celebrate! Join us for regular company events like birthday lunches, sports outings, volunteer opportunities, and more., • Optional Add-Ons: Customize your benefits with supplemental insurance (accident, critical illness, hospital indemnity) and pet insurance through MetLife.

Pay Range: (Specific to OHI,DEL,NY,CA,CO,WA,MD,CT,IL,NV,,KY,MI,NJ,ME,MO,MA,MT) $22.91 - $28.00 Hourly About Brink's: The Brink's Company (NYSE:BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ATM managed services. Our customers include financial institutions, retailers, government agencies, mints, jewelers, and other commercial operations. Our network of operations in 51 countries serves customers in more than 100 countries. We believe in building partnerships that secure commerce and doing that requires fostering an engaged culture that values people with different backgrounds, ideas, and perspectives. We build a sense of belonging, so all employees feel respected, safe, and valued, and we provide equal opportunity to participate and grow. Job Description Brink's Global Services is a division of Brink's Inc, the world's premier provider of secure logistics and security solutions in more than 122 countries across 5 continents. Brink's Global Services specializes in the secure transportation, storage and handling of valuable goods throughout the logistic value chain, from raw materials and components to finished products within the mining, banknote, precious metal, jewelry, security, art and pharmaceutical industries The company has a proud history of providing growth and advancement opportunities for its employees. We have a challenging opportunity for a - Production Coordinator based out of JFK facility. Hourly Rate: $32-$33 Job Summary: The Production Coordinator is responsible for coordinating the operational workflow and tracking key milestones over the duration of a customer order end to end, within the Precious Metals operation in the Tri State area. This position will work with the Vault Team and the Customer Service Team to ensure that customers are appropriately serviced as per expectations and build out a comprehensive track and visibility dashboard for cross functional teams' daily use. The position will also work closely with the BGS Operations Team to support all related Export / Import activities. This position functions in an armed environment and requires the enforcement of rules to protect the premises and property of Brink's and its customers, as well as the safety of all on the premises of Brink's. Key Responsibilities: • Tracking of every customer transaction while building and populating the customer service dashboard., • Working with Vault Team and Customer Service Team to establish key milestones and timing to complete milestones and overall transactions., • Ensuring key milestones are met by Vault Team and Customer Service Team., • Analyze KPIs and metrics associated with shipment production flow and report back to management key spikes, trends and findings, • Escalation of any deviation of milestones to Management team., • Establish proactive Customer communication with regular updates on key milestones., • Explore innovative uses of AI, technology products and informational systems to streamline operations and internal communication updates to cross functional teams, • Strong ability to work through peak demands and recalibrate projects and functions during off peak times., • Establish a point of contact system of communication between operations and customer service for all milestone updates., • Work through problem solving events with operations and customer service to better meet customer expectations and deliverables, • Partnering with Ground Operations, Air Operations, Sort Operations and Shipping Teams to coordinate import/export progress. Minimum Qualifications: • Proficiency with Microsoft Office, • Minimum of 21 years of age, • 1-3 years of project management experience, • A valid firearms permit or ability to pass applicable firearms licensing requirements, • Experience in precious metals storage, freight forwarding/transportation or related field., • Excellent verbal and written communication skills., • Working knowledge of Lean/Process Improvement methodologies, • Project Management Certification, • Associate degree or bachelor's degree preferred Professional Skills: • Professional, positive demeanor., • Collaborative work style., • Good ethics and integrity., • Strong attention to detail., • Collaborative work style, • Culture change agent, • Project management If you have the background and integrity we require and are looking for a challenging opportunity, we hope you will consider employment with Brink's Global Services U.S., Inc. Brink's provides an outstanding total compensation package for this position. In addition to a competitive salary, we offer to eligible employees, medical, dental, vision, and life insurance plans. We also offer a 401(k) Plan. If you are interested and meet the requirements for this position, please apply. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. What's Next? Thank you for considering applying for a job at Brink's. To be considered for this position, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature. Upon completion of the application process, you will receive an email confirming that we have received your application. We will review all candidates and notify you of your status should we deem you fit for a job. Thank you again for your interest in a career at Brink's. For more information about future career opportunities, join our talent network, like our Facebook page or Follow us on X. Brink's is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information, or history or any other characteristic protected by law. Brink's is also committed to providing a drug-free workplace. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Senior Software Engineer — NYC (Onsite) Location: New York City Compensation: $150K–$260K base + meaningful equity Employment Type: Full-time About the Opportunity We're partnering with a fast-growing, well-funded Series A AI startup that's opening its first US engineering office in NYC. Backed by $50M+ from top-tier investors and operators from companies like Stripe, Linear, Canva, and Atlassian, they're building AI that tackles complex, high-volume workflows for fintechs, healthtechs, marketplaces, and delivery companies — the kind of AI that actually resolves real work at scale, not chatbot-tier demos. Their customers include some of the largest telehealth, fintech, and marketplace companies in the US and Australia, many handling over a million support tickets a year. The problems are real, the scale is real, and the work matters. This is a founding-team opportunity. You'll be one of the first engineers in their NYC office, helping shape what the US team looks like, not just joining it. What Makes This Role Different Agent-native engineering culture. Coding agents do a meaningful share of the work here. That doesn't mean pushing a button and shipping whatever comes out — it means exercising strong engineering judgment: knowing how to prompt well, iterate fast, set up the right feedback loops, and catch what the agent missed before it hits production. If Cursor, Claude Code, or similar tools are a core part of how you already build, you'll feel at home. On the technical cutting edge. No one has figured out what an AI-first SaaS product should look like — the UI/UX, capabilities, or data models. It's white space, and you'll help define it. The agent problems being solved here go beyond what's happening at the biggest research labs. High pay, high expectations, high performance. Market-leading compensation, meaningful equity, and a low-ego, high-trust team. Monthly investor updates go to the whole company — because everyone's an owner. Warm, flexible, in-person. Mon–Thu in the NYC office, with real flexibility around life outside of work. About the Role You'll take ownership of hard problems from idea to production. Senior engineers own features end-to-end; staff-level candidates shape technical direction. Day-to-day, you'll work closely with coding agents as a core part of your workflow, build the tooling and feedback systems that make them effective, and bring the engineering judgment to know when output is ready to ship — and when it isn't. We'd Love to Talk If You • Have 3+ years of experience shipping code at a startup or a company with a high engineering bar (ideal combo: strong-product big company + at least one startup stint), • Are genuinely comfortable working with coding agents as a real development workflow — not just autocomplete, • Are a deep system thinker who pressure-tests AI output rather than accepting it at face value, • Thrive in a fast, reactive, permissionless environment (true Series A pace — expect to move from idea to implementation in 48 hours), • Have at least one "spike" that makes you stand out: strong school, strong companies, rapid trajectory, founder experience, or a genuinely unique personal/professional achievement, • Are excited by a career-defining opportunity — real scope, real ownership, and real equity upside at a fast-moving company Nice to Have • TypeScript experience, • Prior startup or scale-up experience (especially AI-native companies), • Experience building AI/agentic products or the infrastructure around them (evals, tooling, feedback loops), • Founder or ex-founder background

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At ___, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime. Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production. At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native. We’re a small, distributed team of repeat founders and builders, with backgrounds from ___, ___, ___, and ___. Joining Keycard now means helping define not just our technology, but also the culture and company we’re building together—during a once-in-a-generation platform shift. TBD * Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed. * Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage. * Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission. * Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge. * Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows. * Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best. Keycard is building the fundamental unlock for the next generation of software: enabling truly secure and trusted agentic applications. Under the hood, we’re building a new identity and access control stack to take us from a world of static, user-focused, long-lived roles and credentialing to one of mixed machine & human interaction that is dynamic, contextually-scoped, and short-lived. By joining as an early employee, you’ll have the opportunity to help curate a culture of iterative craftsmanship, disciplined design, empowerment to own meaningful problems, and consistent high-quality delivery with real impact. You’ll collaborate with the founders and investors who have championed identity, security, and developer tools from seed to scale with companies like Snyk, Auth0, and Heroku. If you’re energized by tackling complex distributed systems and want to advance both developer productivity and security posture, with a hunger to learn, have an impact, and move quickly with determination we’d love to explore how you can help us shape the future of software.

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud ___! More about our team and company: • Fleetio overview video: ___, • Our careers page: ___ Fleetio is seeking a Staff Software Engineer to be the founding engineer on our new Leverage team. The Leverage team's mandate is to make every person at Fleetio more productive by building the knowledge infrastructure that connects our internal data to the AI tools employees already use every day. At other companies, this work falls under "productivity engineering" or "internal tools." We call it Leverage because the scope is broader: serve the entire company, not just engineering. This is not a blank slate. Fleetio engineers are already using AI tools daily, and an organic ecosystem of shared skills and integrations has emerged across the engineering org. You will build on that momentum, not start from zero. Your job is to add the enterprise capabilities this ecosystem needs to scale: identity and auth, structured access to internal data, governance, and quality standards. You will design and build the context layer that connects Fleetio's distributed knowledge to the AI tools our team already uses. You will work directly with the Leverage team lead, and together you will define the technical direction for everything this team builds. This is a remote opportunity open to candidates in the United States, Canada, or Mexico. • Watch our culture videos: ___, • Engineering culture, interview process, and videos: ___, • Fleetio Go overview video: ___, • More about the Fleetio platform: ___, • API docs: ___, • Test drive Fleetio to get an even better feel for what we're building: ___ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. You are a staff-level, systems-minded engineer who gets energy from building tools that make other people more effective. You have deep experience integrating across SaaS APIs and are comfortable navigating the messiness of inconsistent auth models, pagination, rate limits, and data formats. You would rather build one system that enables 50 integrations than build 50 one-off integrations. You are comfortable operating in ambiguous, cross-functional spaces. You talk to users before you write code. You care about adoption, not just shipping, and you understand that internal tools fail when they have bad UX or no adoption strategy. You bring strong opinions about developer productivity, loosely held, and you communicate clearly with both engineers and non-technical stakeholders. You are product-minded and team-oriented, willing to hear others' perspectives and educate on best practices. Excellent communication skills, particularly written, are essential. • Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make., • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough., • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly., • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content., • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity., • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't., • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions)., • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization., • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge., • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale., • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows., • 5+ years of professional experience building production software, • Strong integration engineering skills: comfort working across dozens of APIs, authentication schemes (OAuth, API keys, SAML, service accounts), data formats, and rate limits, • Experience with protocol-based architectures (MCP, LSP, or similar), SDKs, CLI tooling, or developer platform design. You understand how to expose structured data to client tools in a way that scales., • Full-stack capabilities: you will build backend services, CLI tools, and internal UIs, • Experience with identity and access management (Okta, SSO, or similar) and understanding of how to pass user identity through to downstream systems, • Experience building and consuming APIs and working with external integrations, • Solid experience solving challenging architecture problems with good design, • Experience with unit testing frameworks and CI/CD pipelines, • Excellent communication skills, particularly written, • Be sure to mention "coffee" in your application so we know you actually read this, • Comfort working in a Rails shop, • Experience building internal tools, developer platforms, or developer experience tooling, • Track record integrating across multiple SaaS APIs, with firsthand knowledge of inconsistent auth, pagination, and rate limiting, • Experience on a small team (2-5 people) where you owned significant portions of the product, • Hands-on experience with AI coding tools (Copilot, Codex) and an understanding of what makes them effective vs. ineffective, • Experience at a company that invests seriously in internal tooling (Stripe, Shopify, Block, etc.), • Familiarity with workflow automation platforms (n8n, Zapier, Workato, or similar), • Experience contributing to or maintaining shared developer tooling ecosystems (internal package registries, shared libraries, plugin systems), • Familiarity with AI agent skill/tool architectures (Codex skills, MCP tools, function calling patterns), • Experience with Snowflake, PostgreSQL, or similar data platforms, • You know a thing or two about the fleet management industry, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We’re hiring an AI Engineer to shape how AI shows up across ReadMe’s product: from how developers explore and understand APIs to how companies author and maintain their documentation. We’re at the forefront of a major shift in developer experience: * AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable * At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI We're a small team of humans (and___) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our___, and___ reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. You’ll work on systems that are already live across thousands of developer hubs and define what they become next. ReadMe's AI surface spans three bets we're doubling down on: * Documentation that writes itself. AI that watches code change and keeps docs current — from PR-level suggestions to org-wide audits that surface and fix quality issues at scale. * Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through. * APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines. Day to day, you’ll: * Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. * Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. * Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. * Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. * Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. * Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. * Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them. * Want to own meaningful systems end-to-end, not just features. * Care deeply about developer experience and documentation quality. * Enjoy working on problems where AI, APIs, and product design intersect. * Have strong instincts about what makes AI actually useful and where the industry is headed. * Experience building with LLMs in production, not just prototypes. * Strong JavaScript/TypeScript or Python experience. * Experience working with: * Embeddings and retrieval systems (RAG). * Prompting and structured outputs. * Evaluation and iteration of AI systems (quality, latency, cost). * Comfort working with APIs and structured data (JSON, OpenAPI, schemas). * Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces. * Strong instincts around when to use AI vs. deterministic approaches. * Experience improving AI reliability, observability, and production readiness. * Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them. * Build a deep understanding of ReadMe’s AI systems and product surfaces. * Ship meaningful improvements to existing AI features. * Get close to real customer workflows and pain points. * Own a core part of one of our AI systems. * Drive improvements in quality, reliability, and user experience. * Contribute to product and technical direction. * Be a key driver of AI across the product. * Ship systems used daily by thousands of developers and teams. * Help define how AI reshapes developer hubs and API workflows. * We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! * If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. * Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we’ll dive a bit more into your background. * We’ll then do a technical assessment with a couple of ReadMe engineers. * Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. * We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. * Unlimited PTO with a three-week minimum. 🏝️ * Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. * A One Medical membership. 👨‍⚕️ * A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ * One-to-one donation matching of up to $1,000 per year. 💸 * Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 * Work from home. 🏠 * Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ * Take a look at our___ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

About Us: Establishment Labs is changing the medical device, breast health, aesthetics and reconstruction industry by designing, developing, and manufacturing an innovative portfolio of advanced medical aesthetic device technologies and wellness solutions. It is currently the world’s fastest-growing women’s health company. Our Femtech solutions are proudly produced at two MDSAP-certified, carbon neutral, LEED Gold certified, state-of-the-art manufacturing facilities in Costa Rica and are approved for sale in more than 85 countries. Since 2018 the company trades on the NASDAQ stock exchange under the ticker symbol ESTA and has a market cap of around $1.8 billion. This is an exciting opportunity to join an innovative international company in hyper-growth as we launch a significant revolution to transform the women´s aesthetics industry. Objective: The Customer Success Representative is responsible for providing world class customer service to our Medical Devices customers and Field Sales Agents. Primary to ensuring success in this role, the agent will be responsible for the timely and successful handling of inbound calls and all electronic inquiries coming in via email, e-fax, and web orders and supporting order requests. The Customer Success Representative may act as a liaison with other departments for account maintenance, and other customer needs. Central to this position, the agent is expected to maintain positive & productive customer centric relationships as well as proactively provide timely and effective communications to all internal partners and external customers. Necessary Duties and Responsibilities include the following: • Conducts oneself in a manner which ensures compliance with all standard operating procedures, policies, and guidelines encompassed under the company policies and guidelines., • Process requests received from customers and the sales teams including orders, returns, product pricing inquiries, and general customer account questions., • Respond to inquiries from customers regarding status of orders and returns, availability of products and questions about our product portfolio., • Create and maintain cases in Salesforce for all service-related activities (orders, complaints, etc) ensuring timely and accurate resolution., • Communicates with internal counterparts across the organization in such areas as Finance, Customer Master, Post Market Surveillance, Shipping/Warehouse, and the Sales team., • Facilitates the returned goods process for all order types as needed., • Responsible for timely processing of order requests for Flash Program, Direct Sale, Warranty, and Consignment Billing with replenishment. Minimum Qualifications: • Minimum of 3-5 years Customer Service experience (preferably in the medical device or pharmaceutical industry) including a fast-paced call center environment, • Proficiency in MS Office tools (Outlook, Excel, Word)., • Experience or Proficiency in Salesforce and SAP strongly recommended., • Ability to develop, strengthen, and maintain partnerships with others inside or outside the organization, who can provide information, assistance, and support., • Intuitive customer focused mindset coupled with an enthusiastic and collaborative team-oriented aptitude., • Strong interpersonal skills with the ability to effectively communicate at all levels internally as well as externally., • Self-starter and strategic thinker with demonstrated ability to work independently and a willingness to take ownership, accepting responsibility for actions and decisions., • Acute problem-solving aptitude balancing the needs of the company objectives while empathizing with the customer and their situation., • Strong attention to detail and excellent execution capabilities for completing tasks within SLA. Innate ability to manage multiple priorities, an instinctive eye for attention to detail, and a passion for delivering quality results in a timely fashion., • Excellent oral and written English communication skills are required. Other languages are a plus., • High School Diploma. Associate degree or Bachelor’s degree preferred. Please note that this position is on-site at our Domain location. Important Note: This job description includes the necessary aspects required to evaluate this job position. It should not be used as a comprehensive list of all responsibilities, skills or functions. At Establishment Labs we’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability (visible and not visible), gender, gender identity or expression, or veteran status. We strive to be a more equal opportunity workplace.

Supernal helps small-to-medium businesses hire their first AI employee. Our AI teammates are built using intelligent, agentic workflows deployed on a proprietary platform. We deliver working, value-generating AI Employees—not tools—that handle real business processes alongside human teams. We’re hiring a Senior AI Engineer to build and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. This is an “end-to-end” role: you’ll design the agent runtime, memory + retrieval systems, evaluation harnesses, and the product-facing surfaces that put agents in front of real users at scale. You should be equally comfortable reasoning about distributed systems and data (latency, caching, queues, failure modes, cost) as you are with modern agent stacks (tool use, memory, RAG, multi-step planning, guardrails, and evaluation). This role will partner closely with platform engineering to leverage and extend our core services (Django backend, event-driven systems, Kubernetes, observability) while owning critical parts of the AI application layer. * Personalized agent runtime: Agentic workflows that adapt to a user’s preferences, data, and ongoing behavior over time. * Memory & retrieval systems: Short/long-term memory, durable state, and retrieval pipelines across vector DBs and relational data. * Voice experiences (real-time + async): Speech-to-speech/voice agents, streaming audio pipelines, turn-taking, interruption handling, latency tuning, and QA for natural conversations. * Agent evaluation + reliability: Offline/online evals, regression suites, red-teaming, monitoring, and rollout controls so agents are trustworthy in production. * Production agent infrastructure: Scalable orchestration patterns for multi-step jobs, background tasks, and user-facing interactions (sync + async), with clear SLAs/SLOs. * Tooling + developer experience: Libraries and primitives that make it easy for the team to build new agent capabilities quickly and safely. * Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. * Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). * Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. * Build/own an evaluation harness: * curated test sets + scenario suites * automated scoring / rubric-based graders * prompt/model/version tracking * canary + A/B experimentation and safe rollout patterns * Design data + retrieval pipelines: * chunking, enrichment, metadata strategy * hybrid retrieval (vector + keyword + structured filters) * re-ranking, caching, and latency optimization * multi-tenant safety and data isolation * Integrate with and extend our platform primitives: * Django/DRF/ASGI services * async execution + queues + workflow orchestration * PostgreSQL + pgvector * Kubernetes deployments, autoscaling, and cost controls * Establish engineering rigor for agents: * observability (traces, spans, structured logs) * reliability patterns (timeouts, retries, circuit breakers, graceful degradation) * security/privacy controls for data access and tool execution * Strong software engineering fundamentals (design, testing, code quality, performance, security). * Production experience deploying AI systems in front of users (not just notebooks/demos). * Experience building agentic or LLM-powered systems with memory and tool use. * Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. * Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: * LangChain / LangGraph * LlamaIndex * AutoGen / CrewAI-style multi-agent patterns * Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation. * Experience with vector databases and/or search stacks (e.g., Pinecone, Chroma, Weaviate, Qdrant, pgvector). * Experience designing evaluation systems (offline eval, human eval loops, production monitoring, prompt/model regression). * Experience building voice/real-time systems (streaming, WebRTC or similar), and/or integrating speech (STT/TTS) into production applications. * Experience building durable, long-running workflows (Temporal or similar orchestration engines). * Familiarity with observability tooling (OpenTelemetry, Datadog, or similar). * Experience shipping multi-tenant SaaS systems with strong privacy boundaries. * System design for agentic applications (state, memory, evaluation, failure modes). * Practical retrieval/RAG design (data modeling, indexing, relevance, latency). * Production engineering practices (testing strategy, observability, rollouts). * Ability to communicate tradeoffs and make good technical decisions under uncertainty. * Compensation: Competitive salary commensurate with experience (Senior level) * Location: Remote * Type: Full-time * Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet

Job Description Fluxx is looking for a strategic, systems-thinking Senior Product Manager, OneFluxx to own and evolve the internal operating system that powers how we work. As the Senior Product Manager for OneFluxx, you'll own the vision, strategy, and execution of the platform that unifies data across every enterprise tool we use and turns it into actionable insight. You'll treat internal stakeholders and employee-submitted proposals like customers — understanding their needs, prioritizing with clear business cases, and shipping pragmatic solutions that increase company velocity, output per employee, and quality of execution. You'll partner directly with VPs and C-level leaders to align on the roadmap for the highest-ROI investments, and lead build-vs.-buy decisions, and own data security, privacy, and access controls. You'll also create the playbooks — including how PMs across Fluxx leverage AI in product design and discovery — that scale how every team operates as we grow. This is a high-ownership, executive-facing role that blends product management, operations strategy, and data leadership. We are looking for people who are curious, tenacious, candid, and have a bias toward action. We welcome diverse perspectives and encourage you to apply if you think you can bring value to our team – even if your experience doesn't perfectly match the job description. This is a full-time, exempt position. Candidates must be located in the United States. About Fluxx: At Fluxx, our mission is to be the leading collaborative grant management platform in our global communities. We build technology that drives positive impact by helping foundations, government agencies, and nonprofits streamline the grantmaking process—making it easier to get funding to the organizations that need it most. Founded by grantmakers, Fluxx was built on the belief that the systems supporting philanthropy should be as thoughtful and strategic as the missions they serve. For more than 15 years, we've helped organizations move away from manual processes and legacy tools to a flexible, AI + data-driven platform that supports the full lifecycle of grantmaking. Today, Fluxx supports a global community of 500+ customers who collectively manage and distribute more than $39B in grants annually. How you will make an impact/What you will do: • Partner across the Executive Leadership Team (ELT) to develop, refine, and communicate the vision for OneFluxx across the company and our customer community., • Own product strategy, roadmap, and execution for OneFluxx, maintaining a holistic view of how systems, teams, and data connect across the company., • Serve as the internal "data head" — mapping, connecting, and rationalizing data sources across departments so leadership and teams can make faster, evidence-based decisions., • Run a transparent intake and prioritization process for employee-submitted proposals, evaluating every initiative through a clear business case and build-vs.-buy lens (cost, speed-to-value, security, compliance)., • Partner with InfoSec and Legal to design and enforce data-access, privacy, and governance controls that meet enterprise-grade standards., • Lead rollout and change management for new systems and workflows — driving high adoption through clear communication, documentation, and stakeholder enablement., • 8+ years in product management, operations, or a related data/systems role within a technology or SaaS environment, with a track record of owning and shipping end-to-end products that drive adoption — not just delivery., • Demonstrated experience consolidating disparate enterprise tools and data sources into unified platforms, dashboards, or internal operating systems used across multiple functions., • Strong business-case and prioritization skills — you can quantify impact, evaluate competing requests, and communicate trade-offs to executives, while operating just as comfortably at the tactical level (writing acceptance criteria, defining success metrics)., • Working knowledge of data architecture, APIs, integrations, and modern analytics/BI tooling, plus a deep understanding of the security, privacy, and access-control principles that come with enterprise data environments., • Highly relational systems thinker who builds trust across levels of the org, surfaces what's real (not just what's visible), and designs scalable solutions to ambiguous, cross-functional problems. Fluxx is committed to fair, transparent, and equitable compensation practices. We use a market based approach that considers cost of labor by geographic region, along with company size and industry benchmarks. This role is categorized into three compensation zones based on location. Fluxx is currently seeking candidates located in all U.S.-based geographies for this role. Benefits: Fluxx offers the following benefits for the position subject to applicable eligibility requirements: Medical, dental, and vision insurance; Flexible time off; Paid sick leave; 12 weeks of fully-paid parental leave; Annual learning and development stipend; Internet stipend; One-time home office set-up stipend; 401(k) retirement plan with company match. This position is also eligible for incentive stock options, subject to the terms of Fluxx's applicable stock plans. More About Fluxx: We are a people-first and inclusive workplace committed to continuous learning. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production — building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do • Design, build, and deploy end-to-end AI-powered product experiences from concept through production., • Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure., • Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling., • Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning., • Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3., • Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform., • Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies., • Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities., • Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability., • 8+ years of experience building and shipping production software, including significant full-stack engineering experience., • Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences., • Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling., • Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems., • Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services., • Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience., • Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight., • Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences., • Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste., • Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred., • Our people: We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution., • Relaxation and Celebrations: Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect)., • Health Benefits: We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program., • Plan for your Retirement: 401(k) eligible after your first 90 day's employed!, • Giving Back: We sponsor multiple events throughout the year to help out our communities., • Growth: We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters!

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Ambient Agents team is at the forefront of revolutionizing healthcare technology by building Agents that automate core components of healthcare workflows. We're looking for talented engineers to scale our agent stack to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll do * Work closely with engineering teams to tackle a wide variety of technical challenges in building efficient and scalable software, delivering quality features and a great customer experience * Lead the design, development, deployment, and iterations of complex features, collaborating with engineers, Product Managers, UX designers, and leadership * Enhance and evolve Commure’s product architecture * Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions * Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers * Keep current with emerging industry trends and technology to inform leadership and the Product Team What You Have * B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience * 4+ years of experience in shipping enterprise-grade software products * Experience leading complex projects from start to finish and across multiple release cycles, including conceptualization, product integration, deployment, monitoring, and upgrade * Ability to write readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express) * Experience with LLM applications and RAG tooling (Gemini, GPT, VectorDB etc.) * Ability to collaborate with Product Management to clarify requirements, scope work, and drive product deliverables * Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) * Experience with security tooling in SDLC and Security by Design principles Qualifications (Bonus): * Experience with speech and dialog technologies (ASR, TTS, telephony) * Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc) * Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.) * Experience with Nodejs build systems (rush, nx, vite, etc.) * Experience in health tech * Experience working at a startup Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job DescriptionAI Agent Engineer — CollectWise Location: Manhattan, NY (Onsite) | Compensation: $200,000 – $300,000 | Equity: 0.25% – 1% About CollectWise CollectWise is a YC-backed startup using generative AI to automate debt collection in a $35B US market. Their AI agents are already outperforming human collectors by 2x at significantly lower cost. With a team of five, they have scaled to a $2M annualized run rate and are targeting $10M ARR within the year. The Role This role owns the full voice AI stack end-to-end. You will design and build real-time conversational agent systems that operate at production scale across millions of interactions. The role combines infrastructure engineering, prompt engineering, and applied AI in a highly regulated environment. What You'll Do • Build and own voice AI infrastructure on top of LiveKit, • Design orchestration systems including state management, latency optimization, and reliability, • Own prompting strategy including conversation flows, tone, compliance-safe language, and edge-case handling, • Develop evaluation frameworks including A/B testing, regression testing, and KPI tracking, • Continuously improve voice agent performance using real-world call data and outcomes, • Optimize ASR, STT, TTS, turn-taking, and interruption handling, • Build scalable systems supporting millions of voice interactions, • Migrate legacy implementations to modern voice AI infrastructure, • Collaborate with product, operations, and leadership to align technical systems with business outcomesWhat We're Looking For, • 2+ years experience in voice AI, conversational AI, prompt engineering, or speech systems, • 3+ years experience in backend, platform, or infrastructure engineering, • Strong experience with Node.js, AWS, and SQL, • Experience building and shipping production systems in fast-paced environments, • Experience with voice orchestration frameworks such as LiveKit or similar, • Strong prompt design and conversational flow development skills, • Strong analytical ability to tie system performance to business metrics, • Excellent English communication skills required

Job Description Overview We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti exists to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both. Why Corti? Corti is the frontier lab for clinical-grade AI. We build world-leading models and infrastructure that power healthcare's most ambitious software - from EHR vendors and virtual care platforms to the health systems that care depends on. Today, Corti serves over 100 million patients annually, including the NHS. Our flagship model, Symphony, is trained and validated on real clinical data from real patient interactions, and powers the clinical and administrative work that healthcare runs on. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti. The Role We are seeking a technically curious, execution-focused Growth Marketer to sit at the center of Corti’s growth engine. This role is for someone who can read an API doc, spin up a landing page, and write a launch post that developers actually want to read. You are technical enough to understand what we build, creative enough to make people care, and pragmatic enough to ship instead of overthinking. You will own the surfaces and campaigns that drive developer awareness, acquisition, and activation. That includes product launches, landing pages, demand generation, developer-facing content, and growth analytics. You will move fast across channels and formats, with real ownership over what ships and how it performs. What you’ll be doing: Product launches and landing pages * Design and build landing pages, launch assets, and promotional materials (often coding or prototyping yourself) * Collaborate on the end-to-end build and launch process for new products, features, and platform updates * Coordinate cross-functionally with product, engineering, and design to bring launches to market * Write launch content and developer-facing announcements that inspire our audience to dive in Demand generation * Plan and execute campaigns that drive signups, activations, and pipeline across paid, organic, and owned channels * Run conversion rate experiments across the signup and activation funnel * Manage paid campaigns and track performance against acquisition and activation targets Content and SEO * Produce developer-facing content for blog, social, and community channels * Build and execute an SEO strategy targeting developers searching for healthcare AI tooling * Write technical blog posts, guides, and tutorials that position Corti as the default platform for healthcare AI development * Create sales enablement assets, templates, and collateral as needed Analytics and reporting * Build dashboards and reports to track campaign performance, funnel metrics, and growth KPIs * Analyze user behaviour to identify activation patterns and conversion opportunities * Report regularly on what’s working, what’s not, and where to invest next * Use data to prioritise experiments and allocate resources across channels What you bring: You may have been a growth marketer at a developer tools company, a product marketer at a PLG SaaS business, or a growth generalist at a Series A-C startup who touched everything from paid ads to SEO to rapid prototyping. Whatever your path, you have marketed a technical product to a technical audience and are comfortable building things yourself rather than waiting on others. Technical aptitude * Comfortable reading API documentation and understanding how developer products work * Able to build or “vibe code” landing pages, simple tools, and prototypes (or excited to learn) * Familiar with developer workflows, tooling, and PLG motions * Not a software engineer, but the kind of person who builds side projects, tinkers with AI tools, and stays close to the product Marketing execution * Experience running campaigns across paid, organic, email, and content channels * Track record of shipping landing pages, launches, and growth experiments quickly * Comfortable with analytics tools like Google Analytics or Posthog and building reports that drive decisions * Strong writing skills, particularly for technical and developer-facing audiences Builder mindset * 2-4 years of experience in growth, product marketing, or a generalist role at an early-stage tech company * Comfortable operating with minimal structure and defining the playbook as you go * High output: you ship fast, learn from results, and iterate * Genuine interest in AI and healthcare Tools we work with: * Webflow * Lovable * Cursor * Claude * PostHog * Google Analytics What a day looks like: On any given day, you might push a new landing page live for an API feature launch, review funnel metrics to diagnose a drop in activation, draft a blog post on a new agent capability, and jump on a call with product and engineering to scope the next release. We don’t care about the exact title on your CV. What matters is that you are technical enough to understand what we’re building, fast enough to ship without waiting for permission, and someone your friends might describe as “one of the smartest people they know.” Life at Corti * You will work closely with the Growth, Product, and Engineering teams * High autonomy, low bureaucracy, and real ownership * Direct impact on how developers discover and adopt Corti’s platform * Equipment provided by Corti * Working in our New York office Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. 🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status. At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying! Compensation Range: $120K - $155K

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: As a Product Manager on the Data team, you'll own one of the most important surfaces in our product: how customers see, trust, and act on what their AI agents are doing. You'll partner closely with engineering and design to transform how observability works at Regal — building reporting, analytics, and insight experiences that make complex data feel intuitive and actionable. When customers can see exactly how their agents are performing and why, they expand use cases, trust the platform more, and grow their adoption of Voice AI. That's the outcome this role is built to deliver. You'll go deep with customers to understand the decisions they're trying to make, then translate those insights into crisp product bets with our data engineering team. If you're a data-native PM (or an analyst ready to make the jump) who loves bridging the gap between messy data and elegant customer experiences, this role is for you. RESPONSIBILITIES: Own the Data Product Roadmap: Partner with our data engineering team to own the roadmap and key success metrics for how customers access, understand, and act on Regal's data — from reporting and analytics surfaces to the underlying datasets, dashboards, and insights. Transform Observability: Reimagine how customers understand what their AI agents are doing. Make it more intuitive, simpler, and trustworthy so customers expand to more use cases and grow their AI minutes with confidence. Develop Deep Customer Understanding: Go deep with customers to learn how they use Regal's data today, where they get stuck, and what decisions they're trying to make. Bring those insights back as product bets the team can rally around. Ship Polished Data Experiences: Partner with design to ship data experiences that feel accessible, trustworthy, and actionable — not just another dashboard. Bridge Raw Data and Customer Value: Translate complex datasets into reporting, analytics, and insight experiences that customers can actually use to run their business and make better decisions. Define the Measurement Framework: Drive the metrics, instrumentation, and experimentation framework that the broader company uses to measure product impact — raising data literacy and self-serve across GTM, CS, and Product. Lead Initiatives End to End: Take initiatives from customer discovery and problem framing through scoping, launch, measurement, and iteration — moving fast and shipping meaningful improvements on a weekly cadence.ABOUT YOU: Deeply Data-Literate: 2–4 years of experience as a Product Manager, ideally with at least some of that time on a data, analytics, or reporting product. Strong SQL proficiency is required. Experience as a data analyst before transitioning into PM is ideal. You're comfortable in the weeds of a dataset and understand experiment design and statistical reasoning well enough to push back on flawed analyses. Customer-Obsessed: You can point to examples of bridging complex, technical subject matter and what customers actually need. You design for the real decision the customer is trying to make — not the dashboard you happen to have. Proven Shipper: You've driven multiple initiatives end to end, from idea through launch, and can speak credibly to the impact and the tradeoffs. You've partnered closely with design and shipped polished, customer-facing product experiences. Entrepreneurial & High Agency: You operate with strong conviction, lead initiatives with limited hand-holding, and move fast under ambiguity. You act with urgency and ownership. Deeply Curious: You love to learn new things and go very deep on any problem you're working on — whether that's a customer workflow, a dataset, or a new analytics pattern. Strong Communicator & Collaborator: You can take foggy product initiatives or customer problems and bring clarity to what the most important problem is and what should happen next. You work effectively across engineering, design, customers, and executives. Creative Problem Solver: You develop unique solutions to the problems that face you and work well with constrained resources. High Bar: You hold a high standard for your work and the work of others, aiming to ship the highest quality products to our customers. Preferred Background: Early-stage (pre-Series C) startup experience preferred but not required. What matters is that you can go deep on data problems and come back with a clear product direction.Benefits/Perks: • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized Class Pass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description My client is an early-stage AI startup that recently closed a Series A round with over $10M in total funding raised. They are building agentic AI agents transforming how real estate operators handle communications across sales, support, and operations. Revenue has grown rapidly over the past year, and the engineering team is scaling meaningfully heading into the next phase. This is a chance to join a small, high-caliber engineering team and ship a product that is already autonomously handling the majority of client support interactions today. What You Will Do • Owning and shipping major features across the full stack (backend-leaning) for an omnichannel AI agent platform spanning email, SMS, WhatsApp, web chat, and voice, • Making key architecture and infrastructure decisions, writing design decision records, and evaluating tradeoffs to build scalable systems on AWS, • Working directly with the CTO and founders to shape product direction and technical strategy in fast, weekly development cycles, • Pair programming and building with AI coding tools (Cursor, Claude Code) as a core part of your daily workflow, • Contributing across the stack as priorities shift weekly based on what matters most to the business, • 7+ years of production software engineering experience as a strong individual contributor who wants to build, not manage, • Deep production experience with Python as a primary backend language, • Proficiency with AI coding tools such as Cursor, Claude Code, or Copilot, with a track record of integrating LLMs into production systems, • Backend-leaning full-stack mindset, with the ability to understand product, infrastructure, and business context, • Experience at recognizable companies (top Big Tech, well-known B2B SaaS startups) or a strong founder/CTO background, • Prior founder or CTO experience now returning to an IC role, • TypeScript and React exposure on the frontend, • Background in B2B SaaS, proptech, or conversational/voice AI, • Competitive salary, and equity at a Series A valuation, • Direct partnership with the CTO and founders, with real influence on product direction and technical strategy, • A lean, high-performing team with engineers from top Big Tech and well-known startups, • A product with demonstrated traction, autonomously handling the majority of client support interactions today, • Location: New York City, • Hybrid schedule, with 2-3 days per week in office. Remote may be negotiable for exceptional candidates., • Visa sponsorship is not available for this role My client is an equal opportunity employer. They celebrate diversity and are committed to building an inclusive team. They encourage candidates of all backgrounds to apply, and do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, national origin, or any other protected characteristic.

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai. The Role This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code. You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard. You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs. Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring * 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. * Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. * Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. * High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. * Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $230K - $350K

Job Description Forward Deployed Engineer - New York City (Onsite) The hardest part of healthcare shouldn't be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn't a failure of care - it's a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. What you'll do • Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules., • Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion., • Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure., • Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships., • Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time., • Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. 2+ years of experience with at least some time spent in a customer-facing position. Work experience Experience shipping production systems while working directly with customers. Project leadership experience, which includes managing project plans and being responsible for customer deliverables. Experience with healthcare workflows or EHR integrations. Education CS or equivalent technical degree. Hard skills Strong engineering fundamentals (proficiency in Node.js, TypeScript, React preferred). Miscellaneous Must have at least one clear signal of excellence (e.g., top school, well-known VC-backed startup / scale-up, strong upward slope, interesting side projects. etc.). Must be willing to travel ~10% of the time to be onsite with customers.

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Ambient Scribe team is at the forefront of revolutionizing healthcare technology by building Ambient AI solutions for the entire care journey. We're looking for a talented backend engineer to help take Ambient AI to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Contribute to the most advanced healthcare platform in the country * Help scale infrastructure that supports the largest health systems in the country * Be a part of a tremendously fast-paced team that celebrates fast execution and decisions * Design eval and AI pipelines that are reliable, reproducible, and extendable * Shape model interactions by partnering with engineering and product teams on how models are deployed and measured * Work with a stack that includes Python, Flask, Django, FastAPIs and other frameworks * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 3+ years of professional software development industry experience * [Preferred] Strong Backend Programming Skills (Must be comfortable with Python) * [Preferred] Experience in environments where you have to ship quickly. We move fast. * Have experience building AI applications, including designing evals and improving performance through prompting or scaffolding * Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context. * General Understanding of Containers and Cloud (Docker, Kubernetes) * Excitement to work in a high impact field with a builder attitude! * Extremely motivated to grow * Strong leadership skills Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a role for a technical leader who operates across team boundaries. You'll own the hardest problems in developer productivity at CoreWeave, by setting the technical strategy for DevEx, removing systemic friction across the engineering org, and shaping the agentic developer platform that will define how engineers build software here for years to come. What You'll Do • Define and drive the technical strategy for the DevEx platform. Set the long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling, balancing engineering excellence with business priorities and org-wide scale., • Solve the highest-complexity developer productivity problems at CoreWeave. Identify systemic bottlenecks that span teams, design solutions that operate reliably across 40+ data centers, and drive execution from architecture through production., • Lead the agentic developer platform from a technical standpoint. Evolve the architecture of MCP servers, tool integration, and agent-accessible DevEx APIs so that autonomous workflows become a first-class primitive for every engineer at CoreWeave., • Drive cross-team technical initiatives. Work across DevEx, infrastructure, security, SRE, and product engineering to align on platform direction, resolve deep architectural trade-offs, and establish engineering standards that raise the bar org-wide., • Mentor and develop Senior II engineers. Actively coach ICs, elevate technical decision-making across the team, and build the engineering depth needed to sustain DevEx as CoreWeave scales., • Proactively reduce systemic risk. Identify technical debt and reliability gaps before they become incidents, and drive durable improvements to platform resilience, efficiency, and developer trust.What We're Looking For, • 10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systems., • Demonstrated ability to define and execute multi-year technical strategies across complex, cross-team domains., • Deep systems design expertise. You design for correctness, scalability, and long-term maintainability. You have strong opinions on API design, service architecture, and platform abstractions, and you can articulate why., • Proficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments., • Expertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension points., • Experience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agents., • Proven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadership., • A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leader.Nice to Have, • Deep expertise in one or more DevEx domains, including large-scale CI, build and test systems (Bazel, Buildkite, remote execution, caching), deployment (GitOps, ArgoCD), artifact storage and distribution, or ephemeral development environment infrastructure., • Hands-on experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Experience architecting and landing agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production with consistent user-facing value-add. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About 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.

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. What you will do and achieve: * Own and evolve core parts of our AI platform, spanning search, retrieval, and multi-agent orchestration. * Lead the design and build-out of a multi-agent system, including defining new agent “pillars” and how they collaborate in production. * Architect and scale document processing pipelines (Kubernetes-based), including ingestion, parsing, chunking, indexing, and structured data extraction across heterogeneous document types. * Design and iterate on search and retrieval systems (ranking, query understanding, QA) grounded in real user behavior and product needs. * Help build and expand our knowledge graph, modeling entities and relationships to power downstream reasoning and retrieval. * Drive ambiguous, high-impact projects end-to-end, from problem definition through experimentation and productionization. * Establish and improve evaluation and experimentation frameworks to measure system quality and guide iteration. * Write clean, maintainable, production-grade code and raise the bar for engineering quality across the team. Who you are: * 7+ years of experience building and shipping production ML/AI systems. * Proven track record of leading complex, ambiguous projects and driving them to impact. * Strong experience with agentic systems, LLM-based applications, or orchestration frameworks. * Deep experience in document processing pipelines (e.g., parsing, chunking, indexing, structured extraction), ideally in distributed systems (Kubernetes or similar). * Experience building or working with knowledge graphs / provenance graphs and modeling relationships between entities. * Background in one or more of: search/ranking systems, NLP, recommendation systems, or large-scale data/ML infrastructure. * Strong coding skills (Python, Go, or similar) with an emphasis on production systems. * Highly analytical, product-minded, and comfortable using data to drive decisions. * Bonus: experience in construction or other document-heavy industries. What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $183K - $246K

Job Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Job Description Build Your Career with Dimerco Looking to level up? Join Dimerco and unleash your potential! We’re looking for responsible, self-motivated individuals ready to grow in the fast-paced world of global shipping and logistics. At Dimerco, we provide a supportive learning environment, professional training, and pathways to career success. Our mission is simple yet powerful: to open doors for talented people and equip them with the skills to achieve their career dreams. About Dimerco Dimerco Express Group helps businesses move goods around the world smoothly by managing international shipping, customs compliance, and warehousing. Our projects primarily connect Asia’s manufacturing and logistics hubs with each other, and with North America and Europe, creating seamless trade links across continents. Founded in Taiwan in 1971, Dimerco has grown into a worldwide network, serving customers through more than 150 offices, 80 contract logistics operations, and over 200 strategic partner agents across China, India, Asia Pacific, North America, and Europe. Why Join Dimerco? Want to be part of a company that’s shaping the future of international freight and logistics? At Dimerco, your growth matters! We provide: • Training and career support: structured programs to help you grow professionally., • Global exposure: collaborate with international colleagues and gain opportunities to travel abroad., • Effective communication: a flat structure that minimizes hierarchy and organizational layers., • Cross-functional collaboration: work closely with diverse teams across regions and disciplines., • Innovation-driven culture: leverage technology and new solutions to stay ahead in logistics. Position Title: Air Export Freight Forwarder Qualifications: • 3-5 years of relevant logistics experience, • Exceptional Customer Service skills (verbal and written), • Detail oriented, Self-motivated, Exceptional problem-solving skills, • Communicate effectively with internal departments, other regional branches and offices, and all external contacts, • Good organizational skills and ability to learn and retain information to build core industry related skills., • Must know how to use and organize Microsoft Word, Excel., • To operate all jobs under the proper & timely usage of company internal system, include data & sales/costs entry, • Maintain services toward customer's satisfactions & excellency through good communication & coordination with customer/carriers & affiliated business suppliers/partners, • Handle & co-ordinate Air Export shipment internally & externally with customers, Dimerco offices/agent to ensure the shipment executed smoothly in daily basis, • Generate shipment Debit Note, • Sending of pre-alert to overseas agents, • Make shipment booking with airlines, • Monitor & handle Air Export Custom declaration, • Follow-up & update shipment information related to Air Export & Brokerage, • Monthly Close Lot Air Export, • Understand, apply and enforce all rules and regulations applicable to the job and compliant with all parties involved TSA, KSMS, ACE, D/G all as needed, • Assist and support sales and customer service with free hand and routed shipments, • Any other assignments from the management if needed Dimerco is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, disability, veteran status, marital status, gender identity, sexual orientation, national origin, or any other characteristic protected by applicable federal, state or local law. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. Dimerco’s official webpage:

Job Description Join our dynamic team as an Import Logistics Coordinator and play a vital role in streamlining our international supply chain operations! This energetic position offers the opportunity to manage end-to-end import processes, optimize transportation and warehouse activities, and collaborate with vendors and internal teams to ensure seamless product flow. If you thrive in a fast-paced environment, possess strong analytical skills, and are passionate about supply chain excellence, this role is perfect for you! We are committed to fostering growth, innovation, and operational efficiency through dedicated logistics expertise. • Coordinate all aspects of import shipments by managing documentation, customs clearance, and compliance requirements., • Oversee freight forwarding activities, including coordination with the clearing agent and the warehouse, to ensure timely delivery and cost-effective transportation solutions., • Collaborate with suppliers, vendors, 3PL providers, and carriers to negotiate rates, contracts, and service levels that align with company goals., • Responsible for bookkeeping, including processing purchase orders, invoices, ordering office supplies and equipment, customer collections, and related activities., • Monitor inventory levels through warehouse management systems (WMS) and demand planning tools to optimize stocking strategies and reduce excess inventory., • Conduct a root cause analysis of supply chain delays or issues to implement process improvements that enhance efficiency., • Manage warehouse distribution activities, including shipping & receiving, materials handling, and updates to the warehouse management system (WMS), as well as inland freight-related activities., • Utilize data analysis skills to collect, analyze, and report on logistics performance metrics for continuous process improvement. Experience • 3+ years related experience in Import Logistics coordinator, freight forwarding, and office administration., • Must have knowledge and experience with QuickBooks Desktop version., • Knowledge of ERP systems such as Epicor for order fulfillment, procurement, and inventory management, FreeAgent CRM., • Proven experience in supply chain management or logistics coordination within a fast-paced environment., • Strong knowledge of transportation planning, freight forwarding, customs procedures, and international shipping regulations., • Knowledge of warehouse operations, including inventory control, materials handling equipment, such as forklifts, and warehouse management systems (WMS)., • Demonstrated ability to analyze logistics data using tools like Microsoft Excel or supply chain analytics platforms to identify opportunities for process optimization., • Excellent negotiation skills with vendors and carriers to secure favorable pricing and service agreements., • Effective communication skills for collaborating across departments, including production planning, demand planning, and vendor management. This role offers an exciting opportunity to influence our global supply chain operations while working in a collaborative environment dedicated to continuous improvement!

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. About Bringing Your Own Engineering Team Some teams are just too good to break up. Maybe you co-founded a venture that's pivoting, maybe your team got caught in a reduction in force, or maybe you're looking for the next thing to build together. We already work in small pods: tight-knit teams of engineers working on a single project together. Joining Fractional is a natural way to keep your team intact and shift your focus to building for clients with instant product-market fit. If you're part of an existing team of 2–5 engineers, we encourage you to apply to join Fractional AI together. How It Works * One interview process. We'll arrange your interviews on the same day, with the same panel, against the same bar we hold every Fractional engineer to. * One offer. If we decide to move forward, we'll make offers to your whole team at the same time. You're each free to accept or decline individually — though we hope you'll all say yes. * One first project. We'll work to staff you on an engagement together. BYOT In Practice: Fabius In 2026, we were introduced to the Fabius team — a Y Combinator (W23) startup that had spent three years building AI to automate sales workflows. They had a track record of building complex AI systems, and they'd spent considerable time perfecting the craft of partnering closely with customers to make sure their solutions delivered results. The more we talked, the more we saw a team whose strengths mapped almost exactly to what we hire for. For Fabius, joining Fractional was a natural way to focus on what they were best at — building AI-powered products — while staying together as a team. "I was surprised how much autonomy Fractional expected us to keep. Suddenly we had very interested, very motivated clients — and the same hard technical problems we used to grind through at Fabius. " — Neil Madsen, Fabius Co-founder "When we spoke with Eddie and Chris, it felt like a bunch of founders hanging out. There was a certain expectation that the team itself was an asset, and Fractional was specifically interested in protecting the way we were working together, rather than figuring out how to make everyone play a narrow role." - Andy Day, Fabius Co-founder Who We hire We generally expect your team to fall into the categories of one of our existing engineering and PM roles — most commonly Software Engineer, Senior/Staff Software Engineer or Forward Deployed PM. Take a look at those JDs to see what we look for at the individual level. We evaluate teams holistically on top of that, but we expect every team member to clear a similar bar as all other Fractional team members. * Software Engineer * Senior / Staff Software Engineer * Forward Deployed Product Manager * Principal, AI Value Creation and Partnerships Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team thinks. Our Values * Overdeliver. We're writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world's best applied AI team. * Overuse AI. We go out of our way to experiment with the latest tools and share what we learn with our teammates — building a culture at the frontier. * Over-engineer the culture. For every big decision, we ask "would this make Fractional a better or worse place for our team?" Location San Francisco, CA New York, NY Work arrangement: 4 days in-person, Fridays remote. Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

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 Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects. Responsibilities As a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities: • Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stack, • Develop real-time data visualization tools and dashboard builder, • Ensure high quality through the development and maintenance of automated unit, integration, and end-to-end tests, • Participate in an on-call rotation to support system reliability, • Actively pursue opportunities for professional growth and skill enhancement Our software stack includes Python, Typescript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications: • Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer science, • Experience developing software with Python and/or Typescript, • Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization libraries, • Strong communication and collaboration skills CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $105,000 to $115,000.

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a Senior Writer & Content Strategist with a Bachelor's degree (preferably in English, Communications, Journalism, Public Policy, or a related field), and at least 7–10 years of professional writing experience with a demonstrated record of consistently producing high-quality written content in fast-paced, mission-driven environments. This is an individual contributor role reporting to the Managing Director of Engagement & Impact and will focus primarily on written content production (approximately 70%) with strategic messaging support (approximately 30%). The ideal candidate will demonstrate: • Exceptional writing and editing skills across both long-form and short-form formats, with a portfolio that reflects clarity, structure, and audience awareness, • A proven track record of shipping high-quality written work on tight timelines, • Experience ghostwriting for senior leaders or executives, • Strong organizational habits and the ability to independently manage deadlines and competing priorities, • Comfort balancing strategic thinking with disciplined execution, • A growth mindset and willingness to continuously refine craft in response to feedback, • Lead the drafting and refinement of high-volume family-facing communications, including emails, recurring parent communications, website content, enrollment materials, and informational resources, • Translate complex operational or academic updates into clear, accessible, and love-driven messaging that builds family trust and strengthens belonging, • Draft internal communications for Network and School teams, ensuring clarity, alignment, and disciplined adherence to stakeholder communication sequencing, • Ghostwrite thought leadership pieces, speeches, and public-facing content in the voice of the CEO and other senior leaders, demonstrating strong voice-matching ability and editorial precision, • Review and refine press releases drafted by external PR partners to ensure clarity, tone alignment, and narrative coherence, • Manage multiple concurrent writing projects with clear ownership, reliable follow-through, and attention to detail, • Operate effectively within structured project management systems (e.g., Asana), meeting deadlines without sacrificing quality, • Incorporate feedback quickly and thoughtfully, elevating work through iteration rather than extended conceptual debate, • Contribute to editorial calendars and messaging plans in partnership with Marketing and Outreach teams, • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Monthly stipend for wellness and lifestyle expenses (Gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace, and a free Headspace subscription, • MacBook Air, and specified monthly reimbursement for use of mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team

Job DescriptionJoin a Global Leader in Luxury LogisticsAbout Worldnet International At Worldnet International, we deliver more than shipments we deliver confidence, precision, and trust. As a global logistics partner to some of the world’s most recognized names in fashion, entertainment, and technology, we specialize in managing high-priority, time-sensitive shipments that require exceptional care and reliability. Our people are the heart of our success. Every position at Worldnet plays a vital role in keeping our promise of extraordinary service, and we’re proud to do it together. The Opportunity We’re seeking an Operations Agent to join our dynamic team in Springfield Gardens, NY. In this role, you’ll play an essential part in ensuring shipments are processed, packaged, and prepared for export with accuracy and care. You’ll support operations specialists and senior specialists while maintaining compliance with all shipping and export regulations. If you’re detail-oriented, dependable, and thrive in a fast-paced logistics environment, this is your opportunity to be part of a global company that sets the standard for service excellence. Key Responsibilities * Assist operations specialists in all warehouse functions, ensuring timely and accurate shipment preparation for export. * Receive, verify, and process incoming shipments in accordance with company workflows. * Capture and record weight and dimensions of shipments using conveyor or manual equipment. * Label, bag, tag, and secure all export shipments using tamper-evident materials and proper documentation. * Assign vendors, agents, or drivers for tender and recovery tasks as needed. * Maintain clean and organized work areas, replenish workstation supplies, and support overall warehouse upkeep. * Communicate effectively with internal departments to resolve shipment-related issues and document requests. * Respond promptly and professionally to internal and external emails and communications. * Perform additional duties as assigned by the Operations Supervisor. What You Bring * High school diploma or GED (or equivalent experience). * Baseline knowledge of Microsoft Office, Windows OS, and basic data entry. * Excellent verbal and written communication skills. * Strong organizational and time management abilities. * Professional, positive attitude with a focus on accuracy and efficiency. * Ability to multitask and manage several systems or projects simultaneously. * No prior logistics experience required we provide full training. Working Conditions * Flexibility with shifts/schedules, including potential overtime, weekends, after-hours, or holidays as required. * Ability to work in both warehouse and office environments. Physical Requirements * Bending, stretching, and lifting up to 70 lbs. What We Offer At Worldnet, we live by our core value: “Share the Love.” We care deeply about our team, our customers, and our community — creating a culture built on collaboration, respect, and excellence. You can expect: * Competitive compensation. * Comprehensive benefits package (health, dental, and vision). * A supportive, team-oriented environment. * Opportunities to work with globally recognized brands and make an impact every day. Equal Employment Opportunity Statement Worldnet is an equal employment opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We seek and encourage a diversity of skills, talents, and viewpoints in our workforce. When deciding on employment actions — including hiring, compensation, training, promotion, and termination — we strictly prohibit discrimination against employees or applicants on any legally recognized basis. Sunday 2PM - 10PM, Monday - Thursday 4PM - 12AM

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 The anticipated base salary range for this role is $125,000 to $150,000.

Job Description Dealpath is leading the digital transformation of real estate investment, powering decisions for the world's largest asset class. As we accelerate our investment in AI to redefine what's possible, we're seeking a hands-on and visionary Principal Product Manager to spearhead our AI initiatives, drive product innovation, and deliver business growth. In this strategic role, reporting to the VP of Product & Design, you'll collaborate with our CTO, SVP of Product, design, engineering, and executives from global investment firms (e.g., Blackstone, Nuveen, Starwood, Oxford, CBRE, JLL). Your mission: harness emerging AI technologies to build products that unlock smarter, faster, and more impactful real estate investment decisions, while being deeply involved in ensuring model quality, success, and broader thought leadership. Why This Role Matters AI is reshaping nearly every industry and Dealpath is poised to lead this transformation in real estate investment. As a Product Manager for AI, you'll: • Define and Drive the AI Vision: Shape a forward-thinking AI strategy that integrates seamlessly with the broader product roadmap and delivers measurable business outcomes., • Lead Thought Leadership: Represent Dealpath's AI innovation by creating content, hosting webinars, and engaging with clients and prospects.We're excited to have you, • Lead the AI Product Roadmap: Define, prioritize, and execute a bold AI product roadmap — balancing near-term wins with long-term platform thinking — and ensure it ladders up to Dealpath's broader product and business goals., • Drive End-to-End Execution: Rapidly prototype and vibe code AI-powered solutions for early user testing, build and maintain AI evals to validate model performance, and partner with AI/ML engineers to develop proof of concepts. Lead cross-functional collaboration with AI/ML, front-end engineering, design, and marketing to bring polished, production-ready AI products to market., • Innovate on Real-World Investment Workflows: Identify the highest-leverage opportunities to apply AI across the deal lifecycle — from sourcing/screening to underwriting to asset management — and build solutions that meaningfully reduce manual work for real estate professionals., • Be Customer-Focused: Engage directly with sophisticated real estate clients to uncover pain points, pressure-test solutions, and ensure what we ship actually moves the needle for their workflows., • Communicate and Align: Serve as the internal and external voice of Dealpath's AI strategy — presenting the roadmap, sharing progress, and building confidence with stakeholders from the executive team to enterprise customers.Qualifications, • 8+ years in product management, with a meaningful portion spent shipping AI-powered products. You've been close enough to the work to understand what it actually takes to go from a model in development to a feature in production., • Proven experience working alongside ML engineers — creating and iterating on AI evals, diagnosing model failures, and driving continuous improvement. You're not afraid to get into the details and participate in systems & agent design discussion., • Comfortable spinning up rough AI prototypes and vibe coding proof-of-concepts to test ideas with users before committing to a full build., • Working knowledge of LLMs, RAG pipelines, agentic systems, and MCP — enough to make informed build-vs-buy decisions and have credible technical conversations with AI/ML engineers., • Experience building AI products that require human calibration, oversight, and feedback loops — and the product intuition to know when to automate and when to keep humans in the loop., • Ability to engage directly with sophisticated enterprise clients, set realistic expectations during AI calibration phases, and maintain trust even when the product is still evolving., • Comfortable representing Dealpath's AI vision externally — whether hosting webinars, contributing to thought leadership content, or speaking at industry events., • Proven ability to distill complex AI concepts into narratives that resonate with executives, customers, and cross-functional partners alike., • Ability to work in our San Francisco or NYC office 3+ days per week.Bonus Points, • Experience in real estate, private equity, or investment management., • Background in enterprise SaaS, collaboration software, or data visualization tools., • Experience developing monetization strategies for AI products.Why Join Dealpath?, • Shape the Future: Drive AI innovation that transforms real estate investment., • High Impact: Influence business outcomes for the world's leading investment firms., • Growth Opportunity: Lead at a pivotal stage of growth and shape the future of Dealpath's AI capabilities., • Thought Leadership: Be the voice of AI innovation at Dealpath, engaging with industry leaders and shaping the conversation., • Leverage unique & proprietary data sets to train and refine AI models, enabling more powerful, tailored, and effective AI solutions., • Medical, dental, & vision insurance coverage options., • Hybrid 3 day in office requirement, Tuesday, Wednesday, Thursday., • Flexible Spending Account., • Paid Parental Leave., • 401(k)., • Company sponsored commuter benefits., • Flexible time off policy., • Catered lunches and snacks., • Monthly wellness reimbursement., • This role is eligible for total on target earnings (OTE) of $175,000 - $200,000 annually, which includes base salary plus a target variable component., • This position is also eligible for Dealpath's equity plan., • Your compensation will be based upon several factors including your experience, qualifications, education, and the skills assessed in Dealpath's interview process., • Your actual compensation will be confirmed in writing at the time of offer. Dealpath is the world's largest and most trusted real estate investment management platform. To date, Dealpath has powered over $10 trillion in transactions in partnership with hundreds of firms, from leading global institutions including Blackstone, Nuveen, LaSalle, CBRE IM, and MetLife to lean mid-market and regional organizations. Dealpath drives investment performance by uniting data, insights, and execution in a platform purpose-built for real estate, giving firms the tools they need to operate with speed and precision and unlock opportunity in a dynamic and competitive landscape where information reigns supreme. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture - we'd love to meet you!

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 100+ employees (50+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. Our full-stack engineers work within cross-functional feature squads to create the capabilities our customers leverage every day. This position will work closely with product, design, business stakeholders, and colleagues across the engineering org to bring our product roadmap to life. What you will do and achieve: * Create the next generation of product experience: You will build new features and expand existing capabilities across the Trunk Tools product platform, and get deeply hands-on with our core LLM-enabled agentic product experience. This isn’t yet another CRUD build! We’re creating the technology to unlock a new paradigm in how users interact with an app, that leverages the power of language models from the ground up. * Own capabilities end-to-end: We believe in individual ownership at Trunk Tools. As a full-stack engineer on one of our feature squads, you'll drive new capabilities from concept to production — collaborating with product and design to shape what gets built, writing code across the stack, and working directly with customer success as we deploy and scale new features with real users. * Collaborate closely with machine learning/vision engineers, LLM domain experts, and our integrations team: Our platform relies on complex integrations with third-party systems, extensive data processing capabilities, and a cutting-edge agentic layer. All of this technology comes together in our user-facing product: as you develop and deploy new capabilities, you’ll work in a highly collaborative and cross-functional way. * Constantly improve technical reliability and ability to scale: you’ll iterate on our backend architecture to support the growing needs of thousands of users, making sure our systems are built to scale as we grow. * Strategic participation: In this role you’ll help inform the architecture, practices, and tools you’ll use every day to shape what we build, and how. Who you are: * Demonstrable past experience in one or more leveraged, high-output full-stack engineering roles * Highly proficient in TypeScript and full-stack development across backend and frontend, with experience in our technical stack (Node + Express + React) * You have experience architecting systems, designing data schemas, and are comfortable with both relational and non-relational databases * You have previous experience shipping products to users, and enjoy the pace of a fast-moving startup environment * You’re energized by user impact and how high-quality engineering can be a multiplier – you care deeply about both what ships and how it’s built. Interviewing at Trunk Our interview process is designed to help us assess whether candidates would be a good fit for our company and open roles, as well as help candidates understand what it’s like to work on our team. We focus holistically on candidates’ alignment with our core values and their ability to work and operate under a high standard of excellence. All our interviews are performed remotely via Zoom. (1) Conversation with the hiring manager The first step of our interview process is an initial conversation with the hiring Engineering Manager. This session will focus on your background, skills, and relevant work history. We’ll discuss the projects and outcomes you’ve driven in your prior roles. As part of this conversation, we’ll tell you more about TrunkTools, expectations for the role, and leave ample time for your own questions. (2) Technical screen In this round, you’ll meet with a senior engineer on our team to review, understand, and refactor a small section of TypeScript code. You will screenshare your work from your own laptop. Please prepare by having Docker and your preferred code editor set up for this session. While we are in the business of applied AI and use LLM-equipped coding tools extensively internally, we still expect our software engineers to know how to code. We place a high value on candidates’ understanding of programming fundamentals, so during this and all other technical screens, we will ask you to write your own code (instead of relying on an agent). (3) Technical panels Following our technical screen, we have candidates attend two separate panel interview sessions: a full-stack interview and a system design exercise. Both sessions will be attended by a panel of two senior engineers. Our full-stack interview covers candidate’s familiarity with implementing features across the breadth of a TypeScript and Express codebase. We’ll ask you to work through implementation of a small feature end-to-end, starting from a React component, handling state management, API calls, backend controller and service changes, and interaction with a database. In the system design exercise, we’ll ask candidates to diagram an architecture for a hypothetical eCommerce application using a shared Zoom whiteboard. We’ll be focused on assessing the candidate’s broad familiarity with how web applications are structured and built. (4) Meet with the CTO As a last step in our process before the offer phase, we schedule a short conversation with our CTO. This session is more informal, covering shared alignment, fit, and answering any remaining questions about TrunkTools or engineering culture. What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $166.5K - $215K

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 seeking a Technical Lead to drive product development from initial concept to launch, maintaining a strong customer focus. This is a highly hands-on role where you will thrive in ambiguity and be responsible for the full product lifecycle across multiple projects simultaneously. You will collaborate directly with our strategy and business teams to identify high-value, AI-feasible opportunities and influence product direction through rapid execution, including discovery, prototyping, building, shipping, and iteration. 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, • Work directly with design partners and ship weekly updates, • You should have:, • 6+ 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 building with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • Team leadership experience (manager/tech lead), • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Bring at least one concept to a usable MVP with design-partner feedback loops, • Salary: $160 - 200k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job Description We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last. You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice. If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why — we want to talk. What you'll own Full-stack agent development You design and build the entire application — not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook. Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why. LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs — Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge. Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments, • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers, • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design, • Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts, • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG, • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards, • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns, • Okta and/or SailPoint ISC integration experience Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization. What You'll Do • Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production., • Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together., • Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way., • Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles., • Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team., • Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.What We're Looking For, • 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems., • Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises., • Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments., • Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer., • Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows., • Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale., • Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike., • Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.Nice to Have, • Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems., • Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules. * Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion. * Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure. * Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships. * Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time. * Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. * Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap. Requirements * Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management. * Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time. * Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders. * Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities. Interesting Technical Challenges * AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production. * Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments. * Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer. * Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments. * Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare. * Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. * Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you. Compensation Range: $150K - $200K

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 Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • 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 $139,000 to $204,000. 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.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Central: Dallas, Chicago * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Ascertain is building AI agents to automate the administrative work that burdens care teams. We are in major health systems and large specialty groups, saving hundreds of staff hours every week. Our backers include Northwell Health, New York’s largest health system, and Deerfield Management, a leading healthcare investment firm. Together, we’re on a mission to restore time, trust, and focus to the people who keep healthcare running. Our work is urgent — not because of startup timelines, but because our customers rely on us to drive financial resilience and operational clarity in a system under strain. Healthcare organizations don't run on clean data and modern APIs. They run on payer portals, practice management systems, spreadsheets, manual workarounds, and institutional knowledge that lives in people's heads. Your job is to work inside that reality and make Ascertain's product deliver results there. This role sits at the boundary between our product and our customers' operations. You'll spend time with billing teams, revenue cycle leaders, and IT departments understanding how their workflows actually function, then build the integrations, extensions, and features that make our system work in their environment. When you spot patterns across customers, you'll feed them back into the core product so we solve problems once and scale. There will be ~10-20% travel to customer sites. This is a hands-on role. You will write code, build integrations, and ship features end-to-end. You will also be the person our customers trust to understand their problems and follow through on solving them. Your work will directly improve how healthcare organizations operate and, downstream, how patients experience care. This is a founding role on a small team where your judgment and contributions shape the product and the company. Monday you're on-site with a health system's billing team, mapping how they handle claim denials and identifying where our agent can plug in. Tuesday you're writing an integration against their practice management system. Wednesday you're pairing with the Ascertain product team to generalize what you learned into a reusable workflow. Thursday a different customer hits an edge case in production and you're triaging it, talking them through the issue, and shipping a fix. Friday you're documenting what you built so the next engineer doesn't start from scratch. * This role requires frequent, unscripted conversations with hospital administrators, billing teams, and clinical operations staff. You need to communicate clearly, build rapport quickly, and hold your own in rooms where you're the only technical person. * Proven experience working directly with customers or external stakeholders in a technical capacity, not just presenting to them, but diagnosing problems, gathering requirements, and explaining technical tradeoffs in plain language. * The ability to build trust with people who aren't engineers: billing managers, revenue cycle directors, clinical operations leads. You're someone they feel comfortable calling when something isn't working. * Comfort navigating ambiguity. Customers don't hand you clean specs. You figure out what they need, often before they can articulate it themselves. * 4+ years of experience as a software engineer, with a track record of shipping production systems end-to-end. * Full-stack experience with Python (required), FastAPI and TypeScript (preferred). * Experience building or integrating with external APIs, third-party systems, or imperfect data sources. * You write solid, reliable code. You don't need to be the strongest engineer in the room, but your work needs to hold up in production and you need to understand systems well enough to make good decisions independently. * You take ownership of outcomes, not tasks. When something breaks for a customer, you don't wait for a ticket to be assigned. * You have good judgment about when to move fast and when to invest in something durable. Not everything needs to be generalized, and not everything should be a one-off. * You're interested in helping build the playbook for how Ascertain works with customers, not just executing against an existing one. Why Ascertain? Make a real difference: Your work will directly impact healthcare organizations and improve patient care. Join Ascertain in transforming healthcare with AI!

Location: Remote - United States only. About the role: Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities Technical Leadership • Architect and ship production AI/ML systems — you write code, not just review it, • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery, • Set technical standards for model quality, evals, observability, and reliability, • Drive adoption of agentic coding tools to multiply team velocity, • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput, • Manage a distributed team of 8–10 engineers across Data and ML disciplines, • Hire, develop, and retain engineers at all levels; build a high-trust remote culture, • Partner with Product on roadmap sequencing and scope trade-offs, • Work directly with customer-facing teams to close feedback loops on model quality, • Own model performance metrics and drive continuous improvement pipelines, • Build and maintain evals frameworks — regression suites, human review, A/B testing, • Oversee training data collection, curation, and labeling operations, • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration, • Define and enforce quality bars for agentic workflows entering production Applied AI & Agentic Systems • Production agentic pipelines using frontier models, • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration, • Reliable agent loop design — planning, memory, tool execution, error recovery, • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking, • Evals frameworks built from scratch — correctness, regression, semantic similarity, • Fine-tuning frontier or open-source models for domain-specific tasks, • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls, • Training data collection, curation, cleaning, and labeling at scale, • LLM inference and serving optimization, • vLLM, TGI, or equivalent, • Hands-on Python — comfortable writing, reviewing, and shipping production code, • PostgreSQL — schema design, query optimization, indexing strategies, • Distributed systems — async workers, queues, retries, state machines, • Celery or similar async task frameworks is a bonus, • Public-facing API design — REST, versioning, developer experience, • MCP server development — tool-accessible APIs for AI agent integration, • Engineering Manager ready for director-level ownership, • Has led technical teams at a startup or growth-stage company — knows how to move fast, • Hands-on contributor who has also managed small high performance teams., • Finance and/or AP domain — invoice workflows, GL coding, vendor management, • Hospitality — high-volume, multi-location AP operations, • Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale ★ Industry experience above is a bonus Exceptional AI engineering skills are the primary bar. We will teach the domain. We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: • Compensation: 200,000-225,000 + 15% Annual Bonus, • Competitive salary based on skills & experience., • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family., • Employer sponsored 401(k) with company match., • Paid Time Off (and the encouragement to use it)., • Annual company retreats., • Promote from within philosophy. Beyond the tangible benefits though: • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference., • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing., • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution., • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note., • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks., • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth., • We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Opportunity We are hiring Senior ASP. NET Engineers to work on Code Builder, one of WISEcode’s most strategic and technically interesting products. Code Builder is a production-grade platform that allows complex nutrition logic — rules, formulas, thresholds, transformations, and AI-assisted interpretation — to be assembled, executed, and evolved across hundreds of thousands of real foods. It sits at the intersection of: 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.

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

PandaDoc is seeking a Senior Python Engineer to join our Infrastructure Platform Track. At PandaDoc, we have product teams concentrating on shipping new features and a purely technical track focusing on platform engineering. The Platform teams create the technology that enables PandaDoc to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. This role is based on the Dev Experience team, which is focused on enabling product teams to streamline development and delivery processes. Join us and help to amplify productivity, quality, and innovation across PandaDoc. • Build software, frameworks, and tools required for reliable operations of PandaDoc services:, • Design and improve how PandaDoc services communicate using gRPC (and service meshes), Temporal.io, and Kafka by providing libraries and guidance for engineers., • Work closely with Kubernetes. We run on top of AWS EKS. We have five main clusters with more than 200 services in each of different sizes, written mainly in Python (~70%) and Java., • Improve how PandaDoc services are deployed (including machinery for canary and blue-green deployments) and monitored across all our clusters., • Improve our observability as both a developer/maintainer of systems/frameworks and a mentor to our product development teams., • Collaborate with other engineers on the team and cross-functionally to foster solid engineering principles and represent our engineering values., • Be a change agent by recommending and introducing best practices for all PandaDoc engineers., • Be an innovation advocate for the technical growth of PandaDoc., • Share knowledge by writing documentation and holding talks and workshops., • Service-oriented architecture, but be prepared to deal with legacy code and monolithic services based on the Django framework., • Two main stacks: Python and Java:, • Python services are primarily written using AsyncIO frameworks and libraries, but we also have Django-based services and a lot of Celery workloads;, • Java services based on Spring Boot with custom extensions, Java 11, and Gradle as a build tool;, • AWS and K8S are used extensively for provisioning and deploying workloads., • The main cross-service communication transports:, • NATS is our main RPC transport, but we’re migrating to gRPC to eliminate the single point of failure with NATS., • Kafka and Debezium for even-based operations., • RabbitMQ is a transport for Celery, but we look forward to migrating to Temporal.io., • Grafana stack for monitoring, alerting, and distributed tracing, • At least 5+ years of development experience with Python., • Care about quality; you know what shipping high-quality code means., • Strong understanding and experience in AsyncIO., • Experience with the Django framework., • Experience with any relational databases (SQL queries, migrations, optimization);, • Experience with message queues (e.g., RabbitMQ, NATS, Kafka)., • Experience with Amazon Web Services and Kubernetes., • Hands-on experience in developing a service-oriented architecture., • Hands-on experience with CI/CD (e.g., GitLab, Jenkins)., • It is good to have experience with the Grafana LGTM stack and OpenTelemetry., • It is good to have open-source contributions and experience., • It is good to have basic knowledge of Golang., • English: intermediate+ (verbal and written). PandaDoc empowers more than 50,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast-scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit . We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team. Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency and selling a product that changes the lives of our customers. Check out our LinkedIn to learn more. • An honest, open culture that emphasizes feedback and promotes professional and personal development;, • An opportunity to work remotely— our team is distributed worldwide, from Warsaw to Lisbon, from Florida to California. However, we have offices in Lisbon, Warsaw, and Kyiv and you’re welcomed to work from them and meet with other pandas in person;, • 6 self-care days;, • A competitive salary;, • And much more! PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability, or other basis protected by law. EXTERNAL RECRUITERS Approval Requirement The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.