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Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s protein and salt business, where we provide wholesome, high-quality food products to a wide range of customers, from foodservice operators and grocery stores to manufacturers and exporters. Job Type: Full Time Shift Available: 12 hours - Evenings and Nights Compensation: $33.48/hr Principal Accountabilities: • Operate heavy equipment like a backhoe, loader, bull dozer, articulated dump truck, etc., loader with attachments (bucket, boom & forks), • Operate dozer on all levels of a stack of salt, • Prepare the salt stack to set the salt box, • Make Salt cuts to control the feeding of salt to the stack, • Complete daily reports of salt movement, use register charts and complete crude salt log, • Inspect, operate and monitor conveyor belts, salt boxes and wings, diverter chute boxes, hoppers, scale equipment, magnet, dozer, and all electrical cords, • Fuel, grease, lubricate, and wash daily dozer and conveyor belts; and front loader as used, • Maintain clean salt, • Understanding and adhering to all safety policies and procedures, • Maintaining a safe and clean work environment, • Other duties as assigned Required Qualifications: • Must be eligible to work in the United States without visa sponsorship, • Must be 18 years or older, • Ability to understand and communicate in English (verbal/written), • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, going up and downstairs, and twisting, with or without reasonable accommodation, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE), • Ability to work overtime including weekends, holidays, or different shifts with advance notice, • Basic computer skills, • Ability to perform basic arithmetic (add, subtract, multiply, divide), • Able to work in elevated areas (4 feet and above) Preferred Qualifications: • High school diploma/GED or a minimum of two years equivalent work experience, • Experience operating mobile equipment and/or similar equipment, • Experience of road grading techniques, • Experienced in light equipment maintenance (lubing, greasing, and washing) Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation reimbursement. Equal Opportunity Employer, including Disability/Vet

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate. Important Notice Regarding Labor Dispute This position is located at a facility where an active labor strike currently exists. This recruitment is being conducted by Cargill Incorporated for permanent replacement employees. For any questions on this posting, please contact Jennifer Marshall at 5107908624 Job Type: Full Time Shift(s) Available: Various Shifts Compensation: $27.56/hr New, easy-to-apply options are available for this role: chat with our recruiting assistant Ana at careers.cargill.com or text CargillJobs to 60196. Benefits: • Medical, Dental, Vision, and Prescription, • Drug Insurance, • Health and Wellness Incentives, • Paid Vacation and Holidays, • 401(k) with Cargill matching contributions, • Flexible Spending Accounts (FSAs), • Short-Term Disability and Life Insurance, • Employee Assistance Program (EAP), • Tuition Reimbursement, • Employee Discounts Principal Accountabilities: • Perform repetitive positioning of materials and parts for production per direct instructions, • Convey materials and items within production and warehouse areas and other designated areas by hand, hand truck, or electric hand truck, • Lift and stack materials, products, tools, or equipment, • Hand pack product into materials, • Understand and adhere to all safety rules and regulations, • Maintain a safe and clean work environment, • Other duties as assigned Required Qualifications: • Must be eligible to work in the US without visa sponsorship, • Must be 18 years or older, • Ability to understand and communicate in English (verbal/written), • Basic use of a computer, • Ability to work in varied indoor and outdoor conditions which may include heat, cold, dust, loud noise, etc., with the use of personal protective equipment (PPE), • Ability to work in elevated areas (4 feet and above), • Ability to perform physical job duties which may include bending, lifting up to 50lbs, kneeling, climbing, crawling, and twisting, with or without a reasonable accommodation, • Ability to work overtime including weekends, holidays, or different shifts with advance notice Preferred Qualifications: • Basic experience troubleshooting various mechanical components and systems, • Prior experience in production-related work Considered candidates will receive a phone call from a (952) area code. Please note that this position does not include relocation Equal Opportunity Employer, including Disability/Vet

Job Description Paystand is the world's leading blockchain-enabled B2B payments network, transforming commercial finance into a software-driven, zero-fee, and open ecosystem. Recognized as a CNBC/Statista 2026 World's Top Fintech company, Paystand delivers over a decade of on-chain payments experience to middle and large enterprises. Paystand's network services more than one million payors that have moved $20+ billion in volume. With its acquisitions of Yaydoo, Teampay and Bitwage, Paystand's full-stack platform includes agentic AI, its USDb stablecoin, and AR/AP solutions on one tightly integrated network. Its non-profit arm, Paystand.org, advances the mission to democratize finance through Bitcoin and blockchain technology. What We Do We built the financial system we always thought should exist: zero fees, zero friction, just your money, faster. Blockchain automates receivables and payables, cuts time-to-cash, and turns every transaction into revenue instead of cost. Why We Do It The current system takes a cut from the people who build, create, and grow — and calls it the cost of doing business. We don't buy that. Every fee we eliminate compounds into growth. We're here to decentralize finance and hand the power back to the businesses driving the real economy — extended further through Paystand.org's work to democratize finance through Bitcoin and blockchain. How We Do It We don't wait for permission or for the industry to catch up — we build the future of finance ourselves, on-chain, in the open. Small moves now, monumental results later. Join Us We're not looking for people who want a job in fintech. We're looking for people who want to build what comes after it. Paystand is where you help lead a financial revolution instead of just reading about one. We stand on change. Come stand with us. Role at a Glance: At Paystand, we are seeking an experienced and highly motivated, Strategic Partnerships to own and grow our partnership with vertical specific ISVs and VARs. In this role, you will serve as the primary liaison between our organization and our identified partners in this area, managing all aspects of the relationship to ensure alignment on go-to-market (GTM) execution, product strategy, and revenue generation. Responsibilities: • Serve as the main point of contact for all interactions with assigned partners., • Develop and maintain a high-impact, collaborative relationship with assigned partners to align on strategic initiatives and joint value propositions., • Drive execution of joint GTM strategies, including sales enablement, marketing campaigns, solution alignment, and co-selling motions., • Influence and align product strategy with assigned partner's roadmap to ensure optimal partner integration and customer value., • Track, report, and grow lead volume and closed-won revenue generated from the these channel partnerships., • Represent the company at events, conferences, and partner forums. Requirements: • 5+ years of proven experience in managing channel or strategic partnerships, preferably with ERP or in a SaaS environment., • Deep understanding of enterprise software ecosystems and channel sales dynamics., • Strong relationship management and negotiation skills., • Demonstrated ability to drive revenue through partner-led GTM motions., • Excellent communication, project management, and strategic planning skills., • Existing relationships with VARs and ISVs in the ERP ecosystem Perks: • Compensation ranging from $180,000 - $240,000 OTE based on location and skill level., • Enjoy generous PTO and sick leave, because we believe in balance., • 401(k) retirement plan with employer matching., • We've got your health covered with comprehensive health dental and vision insurance plans., • Fuel your days with free snacks and paid lunches in the office., • Unlock stock options and own a piece of our success!, • Work with the best tools and equipment, setting you up to thrive., • And the best part? Endless growth opportunities await you as we rapidly expand! If you're passionate about driving change in the FinTech landscape and being part of a company that is shaping the future of digital payments, we invite you to explore opportunities with Paystand. We understand that no candidate is perfectly qualified for any job. Experience manifests in diverse ways, skills are transferable, and passion is a powerful driver. Your journey and skills are unique, and we value the richness that diverse perspectives bring to our team. More than a resume, we prioritize a genuine commitment, impactful contributions, and the ability to thrive in our dynamic, collaborative environment. We are enthusiastic about providing you with opportunities to learn and grow within this role. If your experience aligns closely with what we're seeking, we encourage you to apply. We celebrate the belief that diversity in backgrounds and thoughts fuels better problem-solving and fosters more creative thinking. Our commitment to adding new perspectives to the team reflects our dedication to innovation and inclusivity. Your journey is important to us, and we look forward to the possibility of welcoming you to our team at Paystand. Feel free to reach out; we can't wait to hear from you. Most of our roles are onsite. Positions that are eligible for remote or hybrid work arrangements will be clearly indicated in the job posting. For roles based in Mexico, only resumes submitted in English will be considered.#LI-Onsite

• PAY THAT PERFORMS - Top drivers earn up to $123,000 per year*, • NO TOUCH. ALL DRIVE. - 100% no-touch dry van freight, 60% drop & hook, • ROLL MODERN. - Late-model trucks loaded for comfort Jacko Logistics is expanding while others slow down. Founded in 2015 with one truck, the company has grown to 250+ late-model tractors - and that growth is built on a simple idea: take care of your drivers. With consistent no-touch freight across the Western 11 states, performance-based dispatch, and driver managers who stay focused on keeping you moving, Jacko gives experienced CDL-A drivers a real chance to earn and build a career. If you're looking for strong miles, modern equipment, and a company that operates with a family-oriented mindset, Jacko Logistics is worth a serious look. • Pay that stacks up fast. Top 30% of drivers earn up to $123,000 per year, earning up to $2,300 per week. Drivers can earn 62-68CPM. Pay varies by route, experience, and performance.*, • Strong miles, flexible running. Drivers average 2,900-3,300 miles per week running OTR or Regional across the Western 11 states, with home time options that flex to your situation., • Dispatch that works for you. Performance-based dispatch and experienced driver managers keep the focus on miles so you stay productive and your paycheck reflects it., • Freight that keeps you rolling. Run 100% no-touch dry van freight with 60% drop & hook loads - less waiting, less dock time, more miles., • Equipment built for the long haul. Drive 2023 or newer Volvo 760s and Freightliner Cascadias, all under 500K miles, fully loaded with APUs, inverters, bunk heaters, and a fridge/freezer in every truck., • Full benefits coverage. Medical, dental, vision, and life insurance to keep you and your family covered., • Weekly pay you can count on. Direct deposit every Friday - no waiting, no surprises., • Driver-friendly policies. Rider and pet policy available so the road feels a little more like home., • Room to grow. Stable freight network across the Western 11 states with growth opportunities and an owner operator transition path for drivers ready to take the next step., • Referral bonuses that stack up. Earn $1,500 for every driver you refer.* All pay & bonus amounts may vary by job type, location, experience level, and performance and are subject to change based on company discretion. Talk with a recruiter to confirm specific details. There is no deadline to apply. Applications are accepted on an ongoing basis. • Valid Class A CDL, • 2+ years of verifiable CDL-A driving experience

Prototype Machinist (11:00 PM – 7:30 AM) Atomic Machines – Emeryville, CA Pay: $47–$59 per hour Shift: Night Shift | Full-Time Location: Emeryville, California Company Overview Atomic Machines is transforming modern manufacturing with its groundbreaking Matter Compiler™ technology — a full-stack micromanufacturing platform that turns digital designs and raw materials into fully functional micromachines. This process enables the production of parts and device classes that traditional semiconductor fabrication cannot achieve, opening new frontiers in MEMS, micro-mechanics, and advanced precision engineering. With offices in Emeryville and Santa Clara, Atomic Machines blends cutting-edge CNC machining, automation, metrology, materials science, and R&D prototyping to build hardware that hasn’t existed before. About the Role This Prototype Machinist (Night Shift) position begins with day-shift training (8:30 AM – 5:00 PM) for the first several months. Upon completion, the role transitions into a permanent 11:00 PM – 7:30 AM schedule. In this role, you will own machining projects from start to finish — including CAM programming, tooling selection, fixture design, CNC machining, inspection, and documentation. You will produce tight-tolerance parts for the Matter Compiler™ and collaborate closely with engineers and prototype machinists to drive innovation in Atomic Machines’ R&D shop. Key Responsibilities • Interpret engineering drawings, blueprints, and 3D CAD models to develop machining plans., • Create CAM programs using Fusion 360, Mastercam, HyperMill, or similar software., • Operate a wide range of CNC machines, including:, • 3-axis, 3+2, and 5-axis CNC mills, • Live-tool CNC lathes, • Waterjets and laser cutters, • Machine precision components to tolerances as tight as ±0.0005" (±13 µm)., • Develop custom fixtures, tooling, and workholding for prototype manufacturing., • Perform in-process and final inspections using calipers, micrometers, height gauges, and CMM., • Provide design-for-manufacturing (DFM) feedback to engineering teams., • Fabricate tooling, fixturing, and hardware for R&D assemblies., • Document setups, offsets, inspection results, and best practices., • Maintain an organized, clean, and safe machine shop environment. What You’ll Need • 3+ years of CNC machining experience in a high-mix, low-volume, or R&D environment., • Working knowledge of 5-axis machining or mill-turn systems., • Proficiency with at least one CAM platform (Fusion 360, Mastercam, HyperMill, etc.)., • Strong GD&T, blueprint reading, and tolerance interpretation skills (<0.001")., • Experience machining aluminum, stainless steel, titanium, and similar materials., • Skilled in manual machining (mills, lathes, drill presses, saws)., • Welding certification or welding experience strongly preferred., • CMM or advanced metrology experience a plus., • Strong communication, documentation, and problem-solving abilities., • Ability to lift up to 50 lbs. Why Join Atomic Machines ✅ Build parts that support groundbreaking new micromanufacturing technology ✅ Work with advanced CNC and metrology equipment in a modern R&D shop ✅ Fast-moving, highly innovative engineering environment ✅ Competitive $47–$59 per hour compensation ✅ Opportunity to produce components that have literally never been made before

Job DescriptionTo help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.com Our Team Quanata, LLC is an insurance technology innovation company that engineers advanced risk prediction and prevention solutions, develops risk-focused acquisition capabilities, and builds/supports a full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary clients, State Farm and HiRoad Assurance Company, adapt to evolving market needs. Quanata, LLC is wholly owned and funded by State Farm. As a company that prioritizes an inclusive and positive culture, we believe the core of our success is in hiring talented people — across disciplines — who want to help us make a quantifiable impact. The Role We're looking for a strategic and customer-obsessed product leader to shape the future of insurance through AI-native, data-driven solutions. As the leader of our product portfolio, you'll define vision, strategy, and operating models that deliver measurable impact for our clients, including State Farm and HiRoad Assurance Company. This is a highly influential leadership role for someone who thrives at the intersection of product, technology, data, operations, and business strategy. You'll guide cross-functional teams, modernize how products are built and scaled, and help drive innovation in a highly regulated industry. Your Day-to-Day Define and lead the product vision, portfolio strategy, and roadmap across the organization Partner with executive leaders and clients to align product investments with business priorities and customer outcomes Drive product lifecycle excellence from discovery and prioritization through launch and continuous improvement Build and evolve product operating models, governance practices, and portfolio decision frameworks Use customer insights, market intelligence, and performance data to identify opportunities for innovation and growth Collaborate closely with Technology, Data, Operations, Underwriting, and Actuarial teams to deliver scalable, high-impact solutions Lead, coach, and grow a high-performing product organization grounded in accountability, clarity, and collaboration Communicate strategy, priorities, tradeoffs, and product performance to senior stakeholders across the business About You Bachelor's degree in Business, Technology, Engineering, Computer Science, Marketing, Insurance, or a related field (or equivalent experience) 12–15 years of progressive experience in product management, product strategy, insurance products, or related leadership roles Deep insurance industry expertise, ideally within P&C, insurtech, or data-enabled insurance products Proven success leading product vision, portfolio strategy, prioritization, and cross-functional execution at scale Strong understanding of modern technology platforms, AI-driven capabilities, and product development tradeoffs Experience influencing executive stakeholders and connecting product strategy to enterprise business goals Exceptional communication, analytical thinking, and decision-making skills in complex, matrixed environments Demonstrated ability to lead and develop high-performing teams while fostering healthy collaboration and accountability Passion for building customer-centered, AI-native experiences that modernize the insurance industry Bonus Points Experience in insurtech, fintech, or another highly regulated, technology-enabled industry Background leading organizational transformation, modernization, or product operating model evolution Experience building or scaling direct-to-consumer digital products Advanced degree or certifications in business, product, technology, strategy, or insurance Experience launching AI-native products, capabilities, or transformation initiatives Salary: $550,000 – $650,000* *Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Additional Details: • Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match., • Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day., • Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent., • Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp., • Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired., • Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones. Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice. https://www.sf.gov/sites/https://www.sf.gov/sites/default/files/2022-12/FCO%20poster2020_0.pdf This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.

Job DescriptionThe Opportunity Solo practitioners and small law firms still lose work the same way: missed calls, slow callbacks, and intake handled between hearings. Hiring is no answer — payroll, training, and turnover are exactly what these firms cannot absorb. Problem and solution validation are complete. Multiple live pilots are entering production evaluation. The next phase is proving in-production reliability, delivery economics, and scalability. The teams that ship credible AI workers into trust-sensitive verticals in the next 18 months will define the category. We intend to be one of them. The Venture BloomLex is a managed AI staffing platform that delivers AI workers as fully-set-up hires — trained, monitored, and continuously improved by our team. Rather than another self-serve SaaS tool, BloomLex operates as a Role-as-a-Service business: lawyers evaluate us on outcomes — time saved, calls answered, consults booked — not configuration effort. Our first hire, Ava, is an AI Front Desk that answers calls 24/7, captures structured intake, books consultations, and performs outbound callbacks, without creating new operational burden for the lawyer. The roadmap expands from the front desk into adjacent AI staff roles, all delivered through the same managed model. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and live pilots are running. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, and a genuine partnership with the CEO on every material decision. What you'll own As Co-Founder & CTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Reliability — Harden Ava's voice and workflow systems for in-production reliability. Establish core architecture, observability, and audit-trail standards RaaS Delivery Layer — Build the internal infrastructure that lets the team configure, monitor, and optimize AI performance without scaling engineering headcount Unit Economics — Own the trade-offs between AI quality and cost-per-call, and lock in unit economics within the $499/month pricing model Customer & Market — Represent the company in front of lawyers, partners, and investors as the technical voice of the venture Roadmap — Convert pilots into paying customers, expand the AI staff beyond the front desk, and begin a path toward custom and self-hosted models where legal and privacy requirements demand it Team — Recruit and lead the founding engineering team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered and voice systems into production environments where incorrect outputs carried real consequences Full-stack confidence across applied LLMs, real-time voice and conversational AI, telephony, human-in-the-loop workflows, observability, and secure multi-tenant SaaS Well-formed convictions about reliability engineering, edge-case management, and the trade-offs between AI quality and cost-per-call Experience building managed and service-heavy platforms, with the discipline to scale delivery without scaling engineering headcount Prepared to operate as a principal — including saying "this won't scale" or "this isn't ready" when the integrity of the product requires it Strongly preferred: prior founder or early-stage technical leadership experience; background in legal tech, healthcare, or another trust-sensitive vertical; capability to self-host custom models to meet legal and privacy needs How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Job Description About Fellow We believe that the act of making should be meaningful and fulfilling, done with intention and precision. Fellow makes beautifully functional tools for any kitchen, designed in San Francisco and used around the world. When the simple motions of life become small moments of joy, that's Everyday Magic.™ We're looking for a Vice President of DTC & eCommerce to be the operating leader of Fellow's global direct-to-consumer business. You'll own the full picture — performance reporting and forecasting, growth marketing strategy and agency management, digital product direction, and the cross-functional coordination that keeps a fast-moving e-commerce business running. You'll help build and lead a capable team (CRM, site merchandising, SEO, digital product) across internal and external partners while personally driving the analytical and strategic work that shapes how the business grows. This role reports to the CMO and partners closely with Finance, Brand, Marketing, Product, and Operations. This role is based in our San Francisco, CA office and requires regular in-office presence in accordance with company policy. What You'll DoPerformance & Strategy • Own weekly and monthly DTC performance reporting — diagnose what's working and what's not, and drive the team to act on it, • Maintain and evolve the top-down revenue forecast; reconcile monthly with the agency's bottom-up model and Finance's SKU-level basket model, • Lead monthly financial review preparation for DTC — build the narrative that connects P&L results to operational drivers, • Drive annual and ongoing strategic planning for the DTC channel, • Leverage AI to automate reporting and elevate the quality of our analysisGrowth Marketing, • Serve as the internal owner of growth marketing; manage the relationship with the performance marketing agency, • Oversee the creative production pipeline across internal teams and external partners, • Own paid media strategy, spend allocation, attribution, and performance accountabilityLifecycle/Retention, • Lead the partner lifecycle marketing strategy across onboarding, activation, engagement, growth, advocacy, and retention., • Create personalized engagement strategies across digital, email, web, portal, event, and community channels., • Use data and insights to deliver more relevant content, experiences, and calls to action for different partner audiences.Team & Channel Leadership, • Lead and develop the DTC team across CRM/retention, site merchandising, SEO, and digital product, • Facilitate weekly team cadence — not just status updates, but problem-solving and prioritization, • Manage vendor relationships and tech stack decisions (reviews platform, email/SMS, accessibility, dev partners, etc.), • Be the cross-functional connective tissue — advocate for DTC resources, resolve blockers, and drive urgency when neededAnalytics & Data, • Drive complex analyses: new vs. repeat customer dynamics, cohort behavior, LTV modeling, and product family performance, • Leverage BigQuery, Amplitude, Looker, and Shopify data to inform decisions, • Build and maintain automated reporting workflows, integrating AI into everyday processesQualifications, • Have 10+ years of experience in DTC e-commerce, with at least 2–3 years in a leadership role owning a P&L or channel, • Are deeply analytical — you can build and maintain financial models and instinctively reach for data to drive decisions, • Have managed performance marketing agencies and understand the mechanics of paid media, attribution, and creative production, • Can translate data into narrative and narrative into action — you don't just report numbers, you drive outcomes, • Are a strong cross-functional operator who can influence without authority and drive urgency when it matters, • Have experience managing and developing a team, helping individual contributors grow into more strategic thinkers, • Are constantly exploring how to leverage AI tools to work smarter and move faster, • Thrive in a fast-paced, resource-constrained environment where you wear many hats, • Genuinely care about premium consumer products (coffee enthusiasm is a big plus), • Ideally have global DTC experienceWhy You'll Love This Role, • A creative, fast-moving environment where ideas turn into action, • Competitive compensation including employee equity plan, • Generous paid time off plan, • 401k with company contribution after 6 months of employment, • Medical/dental/vision insurance, • Better Yourself Wellness credit & Better Your Community donation matching, • Monthly Fitness Stipend, • Summer Fridays, • Paid Parental Leave, • Generous discount on Fellow products, • Best coffee anywhere Salary Range: $260,000–$275,000 (final offer dependent on level and experience). Plus, bonus and equity package. We intentionally publish salary ranges to promote transparency and set clear expectations. Final compensation is determined based on a number of factors, including relevant experience, skills, expertise, scope of previous work, demonstrated impact, and internal equity. As a result, not every candidate will be hired at the top of the range. Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the System Validation Team Zipline's Software Systems Validation team ensures that all the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level—evaluating how components like navigation, perception, controls, planning, and actuation work together as a cohesive product. The team partners closely with Embedded Software, Autonomy, Systems Engineering, Test Infrastructure, and Data Platform groups to build validation tools, analyze performance, and identify risks early. Our work spans simulation, hardware testing, data-driven analysis, and system-level evaluations that support deployments across the globe. As an intern, you'll collaborate with engineers across these domains, gaining hands-on exposure to how industry-leading autonomous systems are designed, tested, and validated at scale. The Role As a Software Systems Validation Intern, you will help evaluate the software that enables Zipline's autonomous drone delivery system. You'll contribute to building tests, tools, metrics, and visualizations that help the team understand system performance, identify issues, and ensure reliability before flight. This role is designed for someone excited to learn how complex robotic systems are validated, who enjoys problem-solving, and who wants to build real-world experience working with autonomy software, data analysis, and systems engineering. What You'll Do • Support the design and execution of test scenarios across the autonomous software stack to validate system-level requirements, • Help develop and improve validation tools, workflows, and automation, • Build visualizations or metrics that highlight performance trends, gaps, or regressions, • Work with test infrastructure and data platform teams to run validation pipelines, • Analyze results and contribute to identifying root causes of failures or unexpected behavior, • Document findings and communicate insights to engineering stakeholdersWhat You'll Bring, • You must have completed the second year of your undergraduate studies in Computer Science, Software Engineering, Aerospace Engineering, Robotics, or a related field. Masters and PhD students are also eligible, • Coursework or project experience in robotics, controls, estimation, navigation, perception, or software development, • Familiarity with testing, debugging, or validation methodologies (academic or project-based experience counts!), • Experience with data analysis using Python, SQL, or similar, • Basic proficiency with a compiled language such as C/C++ or Rust, • Curiosity, attention to detail, and a desire to learn how autonomous systems are validated in real-world environmentsBonus Skills (Nice to Have), • Exposure to hardware, actuators, sensors, and interfacing with software, • Experience with robotics competitions, club projects, or research labs, • Interest in requirements development, reliability engineering, or statistical validationWhat Else You Should Know This internship is a full-time position, in-person at our South San Francisco office. We will host our Spring 2027 interns from January to April. The hourly rate for this internship is $54 per hour. Additional benefits may include relocation support, a housing stipend, overtime pay, paid sick time, and other benefits, where applicable and subject to local requirements. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job DescriptionWanna join the adventure? Loft’s Onboard Software group provides the on-orbit software that powers our satellite fleet — from the Linux services running on the hub processor, to the containerized workloads executing customer applications in low Earth orbit. The Deployment & Runtime Environments team is where software meets the satellite. We own how software gets packaged, deployed, and executed onboard: from the tool that assembles and maintains mission-specific software stacks, to the Runtime Container Environment that lets partner and customer workloads run securely in orbit, to the Linux infrastructure that makes it all reliable. As more satellite programs come online and as we open our container runtime to a growing number of external workloads, the team’s scope is expanding fast. We’re looking for someone scrappy — the kind of engineer who digs into an unfamiliar system, maps it out, and gets it shipped without needing the path handed to them. You’ll move between Linux internals, container runtimes, and CI pipelines, sometimes in the same afternoon. About this role: • Contribute to and evolve our bundle management tool — the tool that resolves package dependencies, assembles mission-specific software stacks, and enables the Solutions team to spin up and maintain an ever-growing number of satellite programs, • Develop and harden our onboard Linux infrastructure: how services are deployed on the rootfs, what system manages their execution, and how we ensure reliable and recoverable Linux operation in orbit, • Evolve our Runtime Container Environment — the container manager and the full stack around it (base images, container registry service) — enabling partner and customer workloads to run securely onboard our vehicles, • Support scaling of the deployment pipeline as new hardware platforms are added and the number of active satellite programs grows, • Contribute to Product Validation — as the last step in the development pipeline, the team plays a key role in validating software readiness before it goes to orbit, • Design, implement, and refine software with a high degree of ownership, driving features from concept through delivery, • Participate in code reviews, design proposals, and the continuous improvement of development processesMust Haves:, • Strong understanding of containerization technologies (Docker, Kubernetes, or similar runtimes), • Deep Linux system knowledge: boot process, service management, filesystem layout, and failure recovery, • Experience with CI/CD pipelines (GitLab-CI, Jenkins, or similar), • Proficiency with Git and collaborative development workflows, • Experience with embedded or resource-constrained systems, • Working PythonNice to Haves:, • Understanding of software deployment strategies for critical or hard-to-reach systems — OTA updates for cars, drones, or consumer hardware, or software updates on satellites — including concepts like golden images, A/B partitions, staged rollouts, and safe rollback, • C++ knowledge, • Experience with CUE (cuelang), • Familiarity with additional programming languages such as Go or Rust, • Experience with embedded Linux: Yocto, device trees, systemd, and Linux on ARM platforms, • Proficiency with unit test frameworks (e.g., pytest, Googletest, Unity), • Experience with middleware frameworks (gRPC, ZMQ/NATS, etc.)Some of Our Awesome Benefits:, • 100% company-paid medical, dental, and vision insurance option for employees and dependents, • Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA, • 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance, • Flexible Time Off policy for vacation and sick leave, and 12 paid holidays, • 401(k) plan and equity options, • Daily catered lunches and snacks in office, • International exposure to our team in France, • Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent, • Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support, • Off-sites and many social events and celebrations, • Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $144,000 - $198,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can’t quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. *Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren’t afraid to challenge assumptions. We strongly encourage you to apply, even if you don’t check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft’s flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention. As a Senior Engineer, you will own significant technical domains end-to-end, not just features, but whole problem spaces. You will drive the engineering of systems that power rate visibility, pricing intelligence, and AI-assisted booking across ocean, air, and trucking. You don't wait to be told what to build next; you identify the highest-leverage problems, propose solutions, and see them through to production. You will be a technical force multiplier on the team: raising the bar on code quality, helping junior engineers grow, and shipping with a velocity and confidence that comes from deep ownership. This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base—turning the complexity of global trade into a seamless digital experience for thousands of shippers. You Will • Take end-to-end technical ownership of core systems: from schema design and backend APIs to the React surfaces our customers use and drive them to production without needing oversight., • Proactively identify gaps, inefficiencies, and engineering problems within your domain and lead the effort to resolve them., • Design and build AI-powered features and integrations, moving beyond "AI familiarity" to hands-on implementation of agent workflows and LLM-backed automation in production., • Drive technical design for significant features, producing well-reasoned proposals and aligning teammates before writing the first line of code., • Mentor and support P2 engineers through code review, pairing, and design feedback, raising the quality of the team's output., • Collaborate closely with product, design, pricing, and operations to translate complex domain problems into elegant, production-ready solutions., • Build and ship incrementally: this team deploys to production dozens of times per day, and you are comfortable with that pace., • Ensure reliability and quality by building in metrics, monitoring, and applying learnings from incidents to all systems you own. You Should Have, • 5+ years of professional software engineering experience with a proven track record of shipping production-grade systems with increasing levels of independence., • Deep Ownership Instinct: You hold yourself accountable for outcomes, not just outputs. When something breaks, you fix it—and you make sure it doesn't break again., • Full-Stack Fluency: You can own a feature from the database to the browser. You are opinionated about schema design, API contracts, and frontend architecture, not just one layer., • AI/LLM Hands-On Experience: You have built software that integrates LLMs into real user workflows—not just proof-of-concepts, but production systems. You understand the practical challenges: latency, reliability, prompt fragility, and cost., • Agency and Drive: You identify the next most important problem without being asked. You default to action, propose solutions, and bring others along., • Technical Rigor: A genuine passion for simple, well-tested, well-structured code. You push back on complexity and leave systems better than you found them., • Communication: You can explain a technical tradeoff clearly to a product manager and to a staff engineer. Your design docs and code reviews are worth reading., • Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS). It's a Plus If You Have, • Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS., • Familiarity with agentic patterns, RAG, or workflow orchestration (e.g., Temporal)., • Experience in logistics, supply chain, freight technology, or pricing systems., • A bias for action: when you see a problem, you own the fix. #LI-onsite The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $206,181—$252,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

Job DescriptionFull-Stack Software Engineer Location: Global, Fully Remote Job Type: Contractor | ~15 hours/week Schedule: Flexible We're looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving. Key Responsibilities • Develop and debug front-end and back-end applications., • Build features, APIs, services, and data models., • Understand and work across unfamiliar codebases., • Troubleshoot application, API, database, and integration issues., • Review and evaluate AI-generated code for correctness, security, performance, and maintainability., • Translate and adapt software builds between programming languages.Required Skills, • Python, • React, • JavaScript, • Java, • Node.js, • Rust, • Go, • TypeScript, • Strong full-stack development experience, • Experience with APIs, databases, application architecture, and debuggingHiring Process, • Submit application and screening questions., • Complete a ~30-minute AI interview., • Complete a technical assessment, if required., • Hiring manager review.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer, Full Stack (Python, Java, Rust, C#, C++) Type: Contract Compensation: $50–$65/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Build and ship full-stack applications, services, and internal tools in Python, Java, Rust, C#, C++, or TypeScript that exercise frontier model capabilities end to end., • Integrate pre-release model APIs into working software, including tool interfaces, evaluation harnesses, and telemetry., • Diagnose and document model and integration failure modes, translating engineering observations into clear written feedback for the research team., • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification., • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. Qualifications Must-Have • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization., • Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language., • Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment., • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up., • Demonstrable career progression., • Ability to engage reliably for at least 40 hours/week during weekdays., • Strong written communication skills and the ability to explain complex technical decisions clearly. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Equal Employment Opportunity employer. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: • 5+ years of professional software development experience with a focus on Python and big data technologies, • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: • 8+ years of professional software development experience, with a focus on Python and big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan The US base salary range for this full-time position is $170,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job DescriptionAbout Us: Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Job SummaryEngineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Opportunity We are looking for an experienced Staff Mobile Engineer to join the Gametime Engineering team. This role is responsible for guiding the mobile technology that powers our flagship product — experienced by more than 1 million users every week. This is a senior individual contributor (IC5) position for engineers who are domain experts, lead complex initiatives across teams, and raise the technical bar through mentorship and architectural influence. You will collaborate closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform. What You'll Do • Define and drive the long-term technical vision and architecture for Gametime's mobile platform across iOS and Android via React Native., • Explore, evaluate, and champion AI-powered capabilities within the mobile development workflow — including agentic coding tools, on-device intelligence, and AI-driven personalization features., • Own the end-to-end technical strategy for the mobile app, from architecture patterns and platform infrastructure to performance and release engineering., • Lead cross-functional initiatives spanning mobile, backend, product, design, and data teams, ensuring alignment on priorities and execution., • Establish and enforce engineering standards for code quality, testing, observability, and mobile-specific best practices across the org., • Mentor and uplift engineers at all levels through code reviews, architectural guidance, and technical thought leadership., • Drive mobile app performance, reliability, and release quality — including CI/CD pipelines, crash monitoring, and progressive rollout strategies., • Partner with Product and Design to shape the mobile roadmap, translating business goals into technically sound solutions., • Identify and eliminate platform-level bottlenecks that slow down team velocity or degrade user experience., • Promote a high-performing, inclusive engineering culture through tech talks, documentation, and engineering excellence.What You'll Bring, • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)., • 10+ years in software engineering, with 5+ years of hands-on experience building and scaling production mobile applications, including significant time in React Native. Technical Skills • React Native Mastery: Deep, production-proven expertise in React Native, including the New Architecture (Fabric/TurboModules), bridging native modules, and cross-platform parity strategies., • AI Tooling & Integration: Experienced leveraging AI for code generation and evangelizing best practices for integrating it into the development workflow. Familiar with shipping AI/ML-powered features in mobile apps — on-device models, LLM-backed experiences, and recommendation systems., • Mobile Platform Expertise: Strong understanding of both iOS (Swift/Objective-C) and Android (Kotlin/Java) native layers — comfortable diving into native code when React Native abstractions aren't sufficient., • TypeScript: Expert-level TypeScript usage for type safety, scalability, and maintainable codebases across large mobile teams., • State Management & Architecture: Deep experience with scalable state management patterns (Redux, Zustand, Jotai, or equivalent) and mobile-specific architectural patterns (clean architecture, modular monorepos, etc.)., • Performance Engineering: Expert at diagnosing and resolving React Native and native performance bottlenecks — JS thread, UI thread, bridge overhead, memory, startup time, and render optimization., • Mobile Observability: Strong command of mobile crash reporting, performance monitoring, and analytics tooling (e.g., Firebase, Datadog, Sentry, Amplitude)., • App Distribution & Release Engineering: Deep knowledge of App Store and Google Play release processes, phased rollouts, feature flags, and OTA update strategies (e.g., EAS Update). Experienced designing mobile CI/CD pipelines using tools like Bitrise, GitHub Actions, and Fastlane., • Testing: Strong culture of testing — unit, integration, and end-to-end testing for mobile using tools like Jest, Detox, or Maestro., • Cloud & API Integration: Proficient with RESTful and GraphQL API design and consumption patterns, and cloud infrastructure as it relates to mobile backends (AWS, GCP, or Azure). Leadership & Collaboration • Technical Vision: Defines technical direction for the mobile platform with clarity, conviction, and organizational buy-in., • Domain Expertise/Ownership: Deep understanding of the mobile product surface area with the ability to lead initiatives from concept through production at scale., • Org-Wide Influence: Shapes engineering practices, architectural decisions, and tooling choices that extend beyond the mobile team to the broader engineering organization., • Mentorship: Actively mentors engineers and uplifts team performance through coaching, feedback, and hands-on pairing., • Project Leadership: Independently manages the full lifecycle of complex, multi-team projects with competing priorities and stakeholders., • Cross-Functional Collaboration: Trusted partner to Product, Design, Data, and Engineering peers — able to translate technical constraints into business context and vice versa., • Strategic Influence: Helps shape technical direction, roadmap priorities, and engineering best practices at the organizational level. What We Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs, • Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $213,554—$251,240 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe builds cloud infrastructure for AI workloads. Cloud Monitoring Services owns observability across Crusoe Cloud: metrics, logs, alerting, and the telemetry agent that runs on every node in the fleet. Our customers run large, demanding AI training and inference workloads, and they depend on us for a clear, trustworthy view of what their infrastructure is doing. We are hiring an Engineering Manager to lead the Platform team: the time series and log storage systems, and the query layer that serves every dashboard, API call, and investigation on top of them. This is a first-line management role reporting to the Engineering Manager for Cloud Monitoring Services. You will take direct people management responsibility for a team of 4 to 6 engineers, growing, and own how telemetry is stored, retained, and read back at fleet scale. This is a people-first leadership role with real delivery stakes. You will bring the technical depth to guide hard calls and earn your team's trust, but your success is measured through what your team accomplishes. Query latency, retention, and storage cost are live tradeoffs your team will be making continuously, and customers feel all three directly. The role sits alongside peer managers who own telemetry collection and the ingestion pipeline, and together you run a platform that has to work end to end. This is a full-time position. What You'll Be Working On: Grow and develop your team. Manage 4 to 6 engineers directly: 1:1s, career growth, performance, and team health, with the team growing over time. Own storage and query. Be accountable for the time series and log storage systems and the query layer on top of them, including how they behave under load and how much they cost to run. Own delivery. Plan and sequence work across a roadmap that mixes customer-facing feature work with storage and query infrastructure, and make honest calls early when a plan is at risk. Set the technical direction for your area. Partner closely with the Staff engineers who own technical direction across the platform, so they can focus on engineering rather than absorbing delivery and handoff work alone. Ask the hard questions and make sound tradeoff calls alongside your engineers. Keep the operational bar high. Query is on the critical path when something is wrong in the fleet, so availability, query performance, and correctness of what comes back are core to the job, not afterthoughts. Own the team's oncall rotation and the operational health of the storage and query stack. Manage cost and scale together. Retention policy, downsampling, cardinality, and storage tiering are product decisions as much as engineering ones, and you will be in those conversations. Coordinate across team boundaries. Your team consumes what the collection and ingestion teams produce and serves internal platform teams as well as external customers, so sequencing dependencies and escalating early is a core part of the job. Shape the team over time. Work with recruiting on sourcing, run a high-quality interview loop, close strong candidates, and onboard them well. Collaborate across functions. Partner with product, neighboring infrastructure teams, peer managers, and leadership to keep priorities aligned as the observability product expands. What You'll Bring to the Team: We know great engineers and leaders come from many different paths. If you're excited about this work but don't match every point below, we'd still love to hear from you. You care about people. You want the engineers around you to grow, you give feedback that's both direct and kind, and you measure your own success through your team's. Technical depth. 5+ years of hands-on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical work. Experience managing engineers. 2+ years managing software engineers directly, including owning performance cycles and career conversations. This team has an active roadmap and live customer commitments, so we are looking for someone who has run a team through delivery before. Experience coaching senior and staff-level engineers, and comfort partnering with strong technical leads rather than competing with them. A track record of shipping. You've delivered multi-phase projects against fixed deadlines, and you know how to keep infrastructure work moving alongside feature work rather than letting one crowd out the other. Operational judgment. You've run a team that owns a system customers depend on during an incident, and you know what it takes to keep that system trustworthy. Strong communication and judgment. You can align people across functions, explain tradeoffs to technical and non-technical partners alike, and give your team clarity about what matters and why. Bonus Points Experience with time series databases or columnar storage at scale: Prometheus, Thanos, Mimir, VictoriaMetrics, InfluxDB, ClickHouse, or similar Experience with query engines and query cost control: planning, pushdown, caching, concurrency limits, and protecting a cluster from expensive queries Experience with retention, compaction, downsampling, and storage tiering for large telemetry or event datasets Familiarity with log storage and search systems: Loki, Elasticsearch, OpenSearch, or similar Observability domain experience: OpenTelemetry, Grafana, metrics and log pipelines, cardinality management Experience owning multi-tenant systems with per-tenant isolation, quotas, and fairness Experience running software in GPU or accelerated computing environments Experience managing or scaling a team through growth Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Type: Full-time Location: SF Preferred. Remote (US) for rare exceptions About Superpower We’re on a mission to build a new health care system that extends and enhances human life. Superpower will build a new health system that is preventative, personalized, and performance-enhancing — bringing the best of health into one place. 93% of our members say we're better than their doctor or life-changing and 60% discover something their doctor missed. About the Role You'll shape the core product experience that hundreds of thousands of members use to understand and improve their health. This means designing interfaces that make complex biomarker data intuitive, clinical workflows seamless, and health actions effortless. You'll work across the full stack of product design — from strategy and systems to pixel-level craft. At Superpower, we believe the best design is deletion. Fewer screens, fewer clicks, fewer words. You'll be the person who fights for simplicity in a domain that is inherently complex. What You'll Do Own end-to-end design for core product surfaces — from problem definition through shipped pixels Design systems-level solutions: build and evolve our design system so the product scales with coherence Partner with engineering, clinical, data science, and growth to define what we build and why Translate complex health data into interfaces that are clear, actionable, and emotionally resonant Prototype rapidly — we ship fast and learn from real usage, not decks Advocate for the member experience in every decision. We start with the ideal experience, then work backward Contribute to product strategy — designers at Superpower don't just execute, they define direction Raise the bar for craft across the team through feedback, critique, and example What You Bring 6-8+ years designing digital products — ideally consumer-first, health, or AI A portfolio that demonstrates strong interaction design, visual design, and systems thinking Experience building or contributing to design systems at scale Ability to navigate ambiguity — you can define the problem, not just solve a well-scoped brief Proficiency in Figma and prototyping tools. Comfort working alongside engineers in code Deep care for usability, accessibility, and inclusive design Strong written and verbal communication — you can articulate design rationale to anyone in the company Speed with taste. You can ship high-quality work on startup timelines without cutting corners that matter Radical open-mindedness: you fight for the best ideas, not your ideas Nice to Have Experience with health products Front-end development skills (React, Swift, or similar) Data visualization or information design experience Familiarity with AI-driven product experiences Why Superpower Mission that matters: we catch diseases before they start and change people’s lives Radical empowerment: no layers of approval, no waiting for permission if you see a problem we reward people that solve them A-players only: small team of exceptional people who actually do the work Founder mode: everyone is an IC here, including leadership. We don't delegate, we build Competitive compensation with equity in a company at the frontier of health and AI Superpower your own health — we live the ethos The San Francisco, CA base pay range for this role is $156,000 - $234,000 (non-inclusive of equity). Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. About Superpower Superpower is a new health system on a mission to extend and enhance human life. We started with lab testing, then data aggregation / digital twin, then an AI doctor, and now peptides. Over the past 6 months, we have grown 10x whilst halving CAC. Now we are gearing up for hyper growth. You can find more about us below: superpower.com/series-a Superpower Overview Culture at Superpower Company Philosophies We are all here to genuinely do our life’s best work Insanely high talent bar, never settling. A players only (see Steve Jobs) We live to work as much as we work to live. But we sustainably espouse the superpower ethos of putting health first We aim to set the gold standard for team health culture on the planet — live the ethos! Investors Forerunner (Top consumer healthcare VC in the world; early board members of Hims and Oura; Kirsten, founder of Forerunner, led our Series A) 8VC (leading health and bio investor) Evan Moore (Founder of Doordash; Partner at Khosla Ventures) Cyan Bannister (early investor into Uber and SpaceX, former partner at Founder’s Fund, regarded as one of the top angels in the world) Balaji Srinivasan (ex-Coinbase CTO and angel, ex-General Partner at a16z) Arielle Zuckerberg (active angel, tech leader, relatively famous brother) Cameron & Tyler Winklevoss Susa Ventures (tier 1 healthcare VC) Bond Capital (General Partner Jay Simons' early-stage fund within Bond) Long Journey Ventures (investor in Uber, Notion, Loom, Affirm etc.) Influencers Shaan Puri (angel and podcast host of my first million) Brooke Monke (50 million followers across socials) Logan Paul Steve Aoki Justin Mares (founder of Truemed) Giannis Antetokounmpo Kylian Mbappé We’re proud to be a global team and welcome talent from around the world. We offer visa sponsorship and can support relocation to the United States for the right candidates. Much of our team is international, and we’re committed to building a team of top-tier talent.

Job DescriptionAbout aion aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, aion takes them from concept to production on a single, unified platform. We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale. We're hiring a design engineer who builds like a founder. You see what's missing and make it exist: you design it, build it, ship it and own it. Code is your design material, and you write a shader when CSS runs out. The bar is an interface that feels physical: it tracks the finger, carries momentum and never drops a frame. What you'll do • Take ideas from a blank file to production: decide what's worth building, prototype it in code, and own it once it ships., • Build production UI in React and TypeScript, from primitives to complete surfaces., • Build the custom tools that make the team faster: design-system tooling, motion tuners, debug overlays and internal apps., • Tune motion and gestures until they feel physical: momentum, weight and interruption., • Create 3D, shader and generative work where it lifts the experience., • Review every build on real devices at 1× and 2×, and keep it fast, accessible and robust under abuse. Requirements Interaction • You treat interaction design as thinning the layer between intent and software, and your work has moments where the interface inferred what someone wanted instead of asking., • Physics is a toolkit to you, not a style: springs tuned by stiffness, damping and mass; velocity projected on release so a flick finishes the job; rubber banding where a hard stop would feel broken; secondary elements interpolated from the gesture driving them., • You give movement conceptual weight: light things settle quickly, heavy and destructive things resist, and bounce appears only where something was thrown., • Your gestures have three beats, constrain on start, track 1:1 on move, resolve on end, and stay contained: no stray text selection, no triggered neighbours, no pointer lost at the edge., • Choreography is second nature: the primary element answers instantly, secondary elements follow late, exits clear faster than entrances arrive, and a touch of blur hides the seams., • Your restraint scales with frequency and input: touch gets the most feedback, the pointer some, the keyboard almost none, and anything used a hundred times a day loses its animation. Craft • You build without waiting: when a tool, component or prototype doesn't exist, you make it, and you've shipped things of your own that people use., • Code is your design material. You judge an idea by building and using it, prototype in the browser rather than in static frames, and polish only once the idea has earned it., • You iterate until nothing is left to explore, then have the discipline to choose the simple version from many iterations back., • Robustness is binary to you: you spam every state, scroll too fast, drag past every edge, and cut any detail that can't work every time., • You see at the pixel: optical alignment at high zoom, animations scrubbed frame by frame, and before-and-after captures on every change., • Native first: real scroll over hijacked wheel events, clip-path over animating width, CSS keyframes before reaching for a library., • You study the work you admire by rebuilding it, then make something unmistakably your own. Engineering • 5+ years shipping production front ends, with live work you can link to., • React and TypeScript at expert level, with component APIs that don't lie: contextual props, derived state, variants over boolean flags and compound components., • Motion values and direct DOM updates for anything high-frequency, so gestures and scroll never wait on a render., • CSS in depth: clip-path, masks, backdrop filters, blend modes, scroll-driven animations, container queries and the View Transitions API., • Type and pixels in code: variable fonts, optical sizing, OpenType features, and layouts free of shift and subpixel blur at 1×, 2× and 3×., • Performance as a feature: an 8 ms frame budget at 120 Hz, compositor-only animation, and pages that load instantly because every byte was questioned., • Accessibility as craft: focus rings styled rather than removed, focus moved into overlays and back, full keyboard paths and reduced-motion settings honoured. 3D and creative • Real-time 3D with Three.js or React Three Fiber on WebGL or WebGPU., • Shaders in GLSL or WGSL: noise, signed distance fields, glass, refraction, lighting and post-processing, all inside the frame budget., • Motion studies in After Effects and 3D in Cinema 4D or Blender, so ideas move before a line of production code exists., • Generative and data-driven work in Canvas and SVG, and interactive animation in Rive.Building for AI, • Interfaces for streamed, non-deterministic output: progressive rendering, interruption and retry., • You build daily with AI coding tools such as Claude Code, Cursor or Codex, use them to ship whole tools and products on your own, and review every line they write.Good to have, • Custom tools you built that others rely on: plugins, design and motion tooling, debug overlays, generators or internal apps., • Something you started and shipped yourself: a product, a studio, a library or a side project with real users/customers., • Writing and articles about your craft: essays, breakdowns or notes that show how you think., • Creative coding or generative art., • Open-source work in motion, graphics or UI components. Benefits • Work directly with high-pedigree founders shaping technical and product strategy., • Build infrastructure powering the future of AI compute globally., • Significant ownership and impact with equity reflective of your contributions., • Competitive compensation, flexible work options, and wellness benefits.

Job Description CoreWeave 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 www.coreweave.com. About the Team: CoreWeave is seeking a Business Development Manager - Physical AI to lead our growing presence in one of the most consequential compute verticals emerging today. You'll join a high-impact partnerships organization working at the intersection of robotics, autonomous systems, and AI infrastructure, partnering closely with Product, Engineering, and GTM teams to build differentiated joint offerings with the leaders building Physical AI. About the Role: Physical AI (spanning robotics, autonomous vehicles, industrial automation, and embodied AI) demands a fundamentally different compute stack than software-only AI. Workloads span large-scale simulation, synthetic data generation, foundation model training for perception and planning, and real-time edge inference. CoreWeave is positioned as the infrastructure backbone for this stack, and this role is central to building the partner ecosystem that makes that happen. In this role, you will own and grow CoreWeave's strategic partnerships with the key players building in the Physical AI space: simulation ISVs, robotics platform companies, OEMs, autonomous systems startups, and the NVIDIA Physical AI ecosystem. You'll translate deep domain knowledge into joint GTM motions, co-innovation agreements, and scalable partner programs that accelerate revenue and market expansion across the Physical AI landscape. Key Responsibilities: • Own and lead strategic partnerships with Physical AI platform companies, robotics ISVs, simulation vendors, and OEMs — defining joint strategy, product integrations, co-innovation, and go-to-market motions., • Serve as CoreWeave's primary point of contact within the NVIDIA Physical AI ecosystem (Isaac Sim, Isaac Lab, Cosmos, Omniverse, DRIVE), driving deep technical alignment and co-sell motions across simulation, training, and inference workloads., • Develop joint reference architectures and go-to-market assets with partners covering the full Physical AI stack: synthetic data generation, sim-to-real pipelines, foundation model fine-tuning, and on-robot inference., • Identify and close compute opportunities across Physical AI workload stages — simulation at scale, large-scale training of perception and planning models, and edge deployment — partnering closely with CoreWeave field teams., • Actively participate in the sales cycle for strategic opportunities, driving co-sell with partners and accelerating Physical AI pipeline., • Collaborate with CoreWeave Product and Engineering to represent partner feedback and Physical AI workload requirements, influencing roadmap decisions., • Develop and execute quarterly business plans with partners, including goals, KPIs, and joint activities to ensure alignment and accountability., • Nurture strong field engagement between CoreWeave teams and partner sales organizations to ensure active co-selling and opportunity sharing., • Serve as CoreWeave's visible advocate within the Physical AI ecosystem at key industry events, partner forums, and conferences. Who You Are: • Physical AI domain expert: Deep understanding of the Physical AI stack: robotics, autonomous systems, digital twins, simulation-to-real workflows, embodied AI, and industrial autonomy. You can credibly engage with roboticists, ML engineers, and autonomy researchers on technical architecture, not just business strategy., • NVIDIA Physical AI ecosystem fluent: Hands-on experience or deep familiarity with NVIDIA's Physical AI toolchain: Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and DRIVE. You understand how these tools integrate with compute, storage, and networking requirements at scale., • Technical depth, partnerships execution: 5+ years in partnerships, business development, or solutions architecture roles, with a demonstrated track record owning strategic technical partnerships in robotics, autonomous systems, simulation, or adjacent AI infrastructure domains., • Robotics and autonomy stack literate: Familiar with ROS2, MuJoCo, Gazebo, OpenUSD, synthetic data pipelines, sensor simulation, and the compute patterns that underpin Physical AI — cluster sizing for simulation and training, latency requirements, and edge/on-robot inference deployment., • Deep strategic partner experience: Proven experience leading partnerships with NVIDIA, with deep understanding of NVIDIA's go-to-market, partner programs, and ecosystem dynamics. Experience with at least one of: Boston Dynamics, Agility Robotics, Waymo, Aurora, Mobileye, Intrinsic, or comparable Physical AI platform companies., • Clear and adaptable communicator: Able to translate complex Physical AI technical concepts for both engineering and business audiences — from embodied AI researchers to C-suite — and build compelling joint value propositions., • Executive presence & GTM savvy: Track record of influencing senior technical and business stakeholders, structuring complex partnerships, and driving pipeline through partner channels., • Collaborative operator: Demonstrated success working cross-functionally with Product, Engineering, Marketing, and Sales to build partner programs and drive shared outcomes., • Strategic and execution-oriented: Comfortable operating with ambiguity, setting priorities, and building structured plans to execute against aggressive growth goals in a fast-moving market. Wondering if you're a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You have hands-on familiarity with robotics or autonomous systems — you've shipped code, trained models, or architected systems that interact with the physical world., • You understand why compute choices matter for Physical AI workloads: the difference between simulation-scale GPU bursts, continuous training runs for world models, and low-latency on-robot inference shapes every partnership conversation you'll have., • You stay current on the Physical AI ecosystem (from foundation model labs building world models and sim-to-real pipelines to robotics startups deploying at the edge) and you have a point of view on where it's going. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $127,000 to $168,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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: careers@coreweave.com. 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 CoreWeave 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 www.coreweave.com. What You'll Do: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You'll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven't yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave's full platform — infrastructure, Models, Weave, observability, and inference. You'll help AI teams solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as customers scale their AI workloads in production. You'll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You'll represent the voice of the customer internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. Who You Are: • 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role., • Proficiency in Python, • Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures, • Experience designing and deploying production LLM-powered applications for customer use cases, • Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure), • Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers, • Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) • Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage, • Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex), • Experience using Slurm or Kubernetes for ML job orchestration, • Experience with hyperparameter optimization and experiment tracking tools\, • Background in ML Engineering, AI Engineering, MLOps, or LLMOps, • Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts, • Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You'd rather show than tell — you build the demo or PoC instead of just pitching it., • You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives., • You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees The base salary range for this role is $143,000 to $210,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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: careers@coreweave.com. 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 Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role You will be a member of the technical staff developing product experiences for our Dispatch Intelligence users – customers who want and have battery energy storage systems for additional energy cost savings or faster interconnection times. In this role, you will serve in a "full stack" capacity designing, building, and maintaining frontend and backend components of our energy storage suite of applications. We use Typescript, React, Next.js, Tailwind CSS, Radix/ShadCN, Jest, Cypress, Playwright, Vitest, and Storybook with Echarts and D3/Observable for data visualization for our frontend, and Cloudflare Pages for hosting and content delivery. We rely on identity and auth platforms like Clerk for sign-in flows. Our backend is written in Go and Python with Postgres/AlloyDB and blob storage for data persistence. Key Responsibilities • Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates, • Collaborate closely with product managers, UI/UX designers, and other engineers to develop intuitive, user-friendly Buyer Solutions software experiences, • Design, build, test, debug, maintain, and scale user-facing software and closely related components up and down the stack, • Integrate frontend components with backend APIs while efficiently rendering and presenting interactive data visualizations, • Implement backend APIs, middleware, and integrate these layers with databases, • Manage user authentication and authorization, sessions, and tokens using services like Clerk or Auth0 for secure user login systems., • Optimize application performance, reliability, and scalability with content delivery networks, • Evaluate and recommend new software tools, systems, and architectures as the product evolves What We're Looking For (Minimum Qualifications) • Customer empathy and obsession to craft quality user experiences, • Hands-on experience working in both frontend (e.g. Typescript, React) and backend (e.g. Go, Python) software ecosystems, • Ability to translate complex product requirements into functional software, and speak the language of engineers and designers, • Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices, • Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team, • Discipline using generative AI tools in day-to-day work What Will Make You Standout (Preferred Qualifications) • A bachelor's degree or higher, not necessarily in a STEM field, • Senior or Staff level software development talent and up, • Proven track record being a technical leader in high-performing product engineering teams, • Expert programming skills with Typescript and Go, advanced experience with Python is a big plus, • Advanced experience developing in the gRPC + Protocol Buffer ecosystem (we use Buf's Connect SDK), • Deep knowledge of relational databases, SQL and cloud storage (e.g. GCS or S3), • Experience authoring and maintaining UI kits, design systems, component libraries, • Keen sense and natural intuition for UI/UX design principles, • Understanding of content delivery networks (CDN) and edge server solutions, • Desire to be a generalist throughout the product engineering stack, • Cloud-native system design and architecture knowledge, especially with container-based tools (e.g. Docker, Kubernetes), • Technical project management skills in agile, product-focused teams, • Willingness and flexibility to operate in high-pressure environments where priorities can easily shift or pivot depending on user need What Makes Verse a Great Place to Work? • We lead with empathy. Empathy for our teammates and our customers is central to who we are. We lift each other up and strive to embody humility, selflessness, and kindness. We promote an emotionally aware attitude and culture by putting our colleagues and customers first. We respect the prior art and acknowledge those who have come before us. We never assume we know everything: every person has something to teach us., • We are open, honest, and transparent. Organizational and institutional trust is essential to tackling the world's most challenging problems. That trust is built on effective communication with our team, our customers, and other stakeholders. We are always receptive to feedback on how we could do better, and we strive to provide constructive recommendations that help others excel., • We move with balance and precision. Life is a delicate balance between the forces of creation, maintenance, and destruction. We understand that each of these forces must be applied with diligence: When we act, we act carefully and responsibly. Speed, hard work, and perseverance must be accompanied by thoughtfulness and reflection., • We are pursuing a labor of love. We are passionate about renewable energy technology, and we like to dream big. We are disrupting the largest and most expensive machine humanity has ever built – the electricity system. We believe the greatest impact we can have on the climate crisis is through building elegant solutions and exceptional products that delight our customers. Base Pay Range $150,000 - $240,000+ This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO, • Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role Zipline designs, builds, tests, and operates autonomous delivery aircraft that need to operate at scale in a huge variety of environments. The aircraft design is fundamental to the success of Zipline. It balances high performance, low cost, and high reliability and cutting edge thinking/manufacturing processes to achieve those goals. As a Mechanical engineer on our Platform 2 Aircraft Structures & Mechanisms, you will own flight hardware that directly affects flight safety, fleet reliability, manufacturability, and the speed at which we scale service to new regions. At Zipline, design engineers are the primary responsible owner for structural and mechanism components across the full life cycle of hardware from initial concept, design, analysis, test, build, scaling, & field/maintenance. This person ensures that their designs will be effective across all phases of its life. This is a hands-on individual-contributor role spanning the design and implementation of your specific as well as how it fits within the greater system. Each engineer is encouraged to question requirements, push for the best overall design/implementation, and work closely with production, operations, and test. The best candidates are those who are comfortable as a full-stack mechanical engineer that can go broad or deep depending on the challenge at hand and has previously demonstrated real ownership and impact of their hardware. What You'll Do • Own end-to-end delivery of structural or mechanical subsystems from requirements → design → build → test → release →production/operations sustainment, • Produce and defend system-level trade studies, tolerance stacks, load paths, failure modes, and hand-calcs/analysis that bound designs for safety-critical loads and manufacturability of high performance hardware, • Create CAD assemblies, detailed drawings, GD&T, and manufacturing documentation for complex assemblies: own design reviews, DFM and first-article criteria, • Lead supplier selection, qualification, and handoff: drive DFM feedback, define inspection criteria, and reduce supplier NPI cycle time and scrap rates. Own escalation and remediation when supplier output risks field operations, • Cross-functional interface: partner daily with Systems, Software, Production, Integration & Test, Reliability, and Field Ops to align requirements, manage trade-offs, and eliminate deployment blockers, • Ship for scale: translate prototypes into designs that meet target cost, cycle time, and inspection rates for medium-volume production; own metrics for manufacturability and in-field reliability and drive them to target.What You'll Bring, • Proven ownership of high performance or low margin mechanical or electromechanical hardware validation through development, qualification, production ramp, and field deployment., • First principles approach to engineering and a Test-first mindset: experience planning and executing environmental, vibration, fatigue, and thermal verification; ability to design test fixtures and interpret data., • Deep hands-on experience designing carbon composite structures, injection moulded plastics, metallic structures, and/or servo-actuated mechanisms., • Strong mechanical fundamentals and experience working with suppliers when developing hardware and processes., • Demonstrated supplier/DFM experience and track record reducing NPI cycles, scrap, or supplier defects., • Clear written and verbal technical communication; ability to present tradeoffs and accept/ reject risk decisions to stakeholders.What Else You Need to Know The starting cash range for this role is $145,000 – $225,000. Please note that these are starting salary ranges that represent multiple internal levels. The final cash pay will depend on experience, qualifications, skills, location, and projected impact. Total compensation will also include equity, incentives, and benefits such as medical, dental, vision, paid time off, and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply. If you'd like to learn more about Zipline and our teams, feel free to check out our Instagram, one of our Reddit AMAs, or our website. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job DescriptionWho we areVidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media, or text reviews because it shows fit, feel, use-case, and tradeoffs in real contexts. It is how people actually decide what to buy. Today, the most impactful buyer video lives on platforms like TikTok and Reels, disconnected from product pages, outcomes, and brand control. Vidably brings that content onto owned commerce surfaces, uses AI to turn it into structured, SKU-level evidence, and measures what actually drives conversion. We share incremental value with creators, which unlocks far more high-quality buyer video and a system that learns what matters for each product. This is the missing input for shopping agents. The same signals humans use to buy confidently are the signals an agent needs to recommend, compare, and explain products with real evidence, not guesswork. Vidably is backed and supported by AI Fund. Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success. About the roleThis is a hands-on, jump-into-anything role on a small, talented team. You'll help build the AI-powered evidence layer for commerce, making Vidably self-serve and reliable across real Shopify storefronts. Candidates must currently be based in the Bay Area. Relocation will not be an option for this role.Responsibilities for the Role Include: • Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling, • Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy rollback, • Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit, • Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and self-serve toolingWhat Success Looks Like:, • Onboarding new customers becomes boring and repeatable, • Founder minutes per merchant drops materially because workflows are productized, • We can scale customers without bespoke engineering per storeRequired Qualifications Include:, • You've shipped to production across the stack and you close loops fast — you design, build, debug, and operate, • Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion-sensitive surfaces), • AI-native builder: you ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar)., • You use AI for speed, keep quality high with tests/CI/observability, and can debug when AI output is wrong, • Thrive in ambiguity and a very small-team environment., • You're excited to learn new tools and domains fast, and you jump into whatever needs doingNice to Have Skills Include:, • Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third-party environments, • Video pipeline familiarity (Mux or similar), • Experimentation/analytics rigor: clean event design, integrity checks, debugging We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role Handshake is hiring a Senior LLM Platform Engineer to join our Data and ML Platform team. This team supports Handshake’s core career marketplace and Handshake AI (HAI) by building the shared data, ML, and LLM infrastructure behind production workflows. This infrastructure-heavy role primarily owns our shared LLM control plane: LiteLLM gateways, provider integrations, shared clients, access controls, observability, cost attribution, capacity management, and hosted or self-hosted inference. You’ll also contribute to adjacent platform systems for workflow orchestration, model serving, shared cloud infrastructure, and developer enablement—working closely with Backend Platform, HAI engineering, data science, and FDEs. What You’ll Do Build and operate our LiteLLM-based AI gateways and shared LLM clients. Own provider and model onboarding, routing, failover, rate limits, and capacity planning. Build self-service virtual-key, model-access, budget, and credential-management workflows. Establish SLOs, observability, cost attribution, and alerts for production LLM traffic. Safely qualify and roll out new models, providers, SDKs, and gateway configurations. Support hosted and self-hosted inference through a consistent platform interface. Partner with product, AI, and FDE teams to turn recurring delivery problems into paved-platform capabilities. Contribute to the broader Data and ML Platform, including workflow orchestration, model serving, shared cloud infrastructure, and developer tooling. Participate in team on-call and support, improving runbooks, automation, and reliability across owned platform services. What We’re Looking For Strong production software engineering experience in Python, TypeScript, Go, or a similar language. Experience building or operating high-throughput API gateways, proxies, or multi-tenant platform services. Hands-on experience with Kubernetes, Terraform, CI/CD, and production service ownership. Practical experience with LLM provider APIs, including streaming, long-running requests, retries, timeouts, cancellation, and rate limits. Experience with authentication, quotas, credential management, tenant isolation, and auditability. Experience building observability for distributed systems and leading production incident response. Experience with usage metering, cost attribution, capacity planning, or FinOps. Experience with data or ML platform systems such as BigQuery, Airflow, streaming pipelines, model serving, or ML observability. Strong judgment in ambiguous environments and a bias toward simple, reliable systems that scale. Bonus Experience LiteLLM, Portkey, or a comparable multi-provider AI gateway. vLLM, Modal, Ray, Triton, PyTorch, or GPU-backed serving. Temporal or another durable-execution system for long-running LLM requests. Evaluation, batch inference, fine-tuning, RL, or other post-training infrastructure. Agent runtimes, sandbox infrastructure, MCP, tool use, or coding-agent infrastructure. Our Stack Python, TypeScript, Go, LiteLLM, FastAPI, PostgreSQL, Redis, GCP, Kubernetes, Terraform, Spacelift, BigQuery, Airflow, Dataflow/Beam, Datastream, OpenAI, Anthropic, Gemini, OpenRouter, vLLM, Modal, Anyscale/Ray, Datadog, Arize, Temporal, Cloudflare, and Tailscale Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, competitive compensation, financial coaching Family Support: Paid parental leave, fertility benefits, parental coaching Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend Growth: $2,000 learning stipend, ongoing development Remote & Office: Internet, commuting, and free lunch/gym in our SF office Time Off: Flexible PTO, 15 holidays + 2 flex days Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Compensation Range: $176K - $220K

Job Description About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. About the Role: As a Senior Software Engineer in the Documents domain, you will play a critical role in designing and developing innovative solutions that power GoodLeap’s document lifecycle management. You’ll work on building systems that ensure the accuracy, compliance, and efficiency of document-related processes, collaborating closely with engineers and product managers to deliver high-impact features. This role demands exceptional attention to detail and the ability to analyze legal documents, business requirements, the lifecycle of a loan and translating them into effective technical solutions. You’ll focus on hands-on development, championing best practices in code quality, testing, and scalability. Your work will directly impact how GoodLeap delivers seamless and reliable document solutions to partners and customers. We’re looking for someone who can contribute as an outspoken team member—actively sharing ideas, providing constructive feedback, and driving discussions to improve the team’s performance. If you’re excited about solving complex challenges, leading by example, and seeing your work in action, this role is for you. This would best fit a Back-end Engineer or Full Stack Engineer. Join us to be part of a team that values curiosity, ownership, and innovation—all while contributing to a mission that empowers businesses and drives sustainable solutions. About the Team: The Documents domain is at the heart of GoodLeap’s mission to simplify and streamline the loan lifecycle, overseeing everything from document generation to signing and vaulting. This team is responsible for building and optimizing tools that handle over 16,000 unique document variations, ensuring seamless integration with platforms like DocuSign, Salesforce, and eOriginal. The team is dedicated to improving document automation, data consistency, and compliance by developing innovative solutions that meet the needs of both internal and external stakeholders. With a focus on understanding the complexities of legal documents and business requirements, we strive to deliver solutions that are accurate, compliant, and user-friendly. We prioritize code quality, robust testing pipelines, dashboards, and automation to deliver reliable and efficient document management systems. With a mix of greenfield projects and system enhancements, the team continuously pushes the boundaries of technology to create impactful solutions. On the technical side, the team leverages technologies like React, Node.js, Typescript, Nest.js, Serverless, SST, DynamoDB, AWS Lambda, API Gateway, Kafka, Event Driven Architecture, and Webhooks to build and maintain scalable systems. Essential Job Duties and Responsibilities • Design, develop, and maintain scalable, high-quality web applications and APIs, focusing on Node.js and AWS services., • Build secure, reliable, and compliant solutions for document generation, signing, and vaulting with an emphasis on scalability, performance, and maintainability., • Collaborate with cross-functional teams, product managers, and legal experts, to deliver features that meet legal and business requirements., • Analyze legal documents and business needs to design technical solutions that ensure compliance and accuracy., • Write testable, reliable code and implement continuous deployment practices for production systems., • Participate in design and code reviews, providing technical feedback to uphold engineering excellence., • Mentor and support the career development of engineers through pair programming, technical guidance, and knowledge sharing., • Analyze and optimize application code, APIs, and distributed systems to ensure efficiency and reliability., • Deploy, monitor, and troubleshoot large-scale systems to maintain high availability and resolve issues in a timely manner., • Stay current with emerging technologies, driving hands-on implementation and innovation across the platform.Required Skills, Knowledge, and Abilities, • Strong problem-solving and algorithmic skills typical of any software engineering role., • Extensive experience with one or more of the following technologies: React, Node.js, Typescript, Nest.js, Serverless, SST, DynamoDB, AWS Lambda, API Gateway and Kafka, coupled with a strong aptitude for learning new tools and frameworks., • Experience building RESTful APIs and working with databases., • In-depth knowledge of large-scale web application design, including clustering, caching, performance tuning, and scalability strategies., • An ability to understand and translate legal documents and business requirements into technical solutions., • Strong written and verbal communication skills, with an ability to explain technical concepts to diverse audiences.Ideal Candidate Values, • Attention to detail and accuracy, particularly when dealing with legal documents and business requirements., • Collaboration and consensus-building as patterns for problem-solving., • Transparency in the face of ambiguous or difficult situations., • “Getting stuff done” through simple, pragmatic iteration and a strong focus on user needs., • A high level of curiosity and staying abreast of the latest technologies., • Proactively resolving problems and displaying a strong sense of ownership., • Challenging the status quo when it makes sense to do so. Base pay range (CA, WA, NJ, MA, DC, NYC) per year: $144,900 - $164,500 Base pay range (all other US locations) per year: $131,700 - $149,500 In addition to the above salary, this role may be eligible for a bonus. Please note: This role is not eligible for visa sponsorship. Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst. Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field. Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before. Our Culture: Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes. Always Keep Moving – We move fast, waste no time, and have an extreme bias towards action. Progress compounds every day, and our impact is measured in decades. Improve Everything – At 1% success, we save millions of pounds of food from going to waste. If we are 100% successful we will impact the lives of billions of people across the world. Farmers First – Every team member spends at least a few days in the fields with our farmers each month. No Job Beneath Us – We’re low ego, own every outcome, and are all working towards the same goal. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. In addition, all of this happens fast, on compute running on the edge, in complex, real-world environments where our systems are subject to all sorts of conditions. We are looking for a Robotics Software Engineer to invent creative, practical, and robust solutions to real-world computer vision problems relating to perception and localization. About the role: Full-time, in-person role at our San Francisco or Seattle office Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Develop robotics software that runs on our tractor-mounted, AI-powered camera systems, including advanced perception & localization algorithms. Implement intelligent systems and processes to interpret complex, real-world data (each system collects terabytes of raw image data every day). Fuse sensor data (stereo depth, GNSS, etc) to localize our camera system in a farm. Optimize code for fast edge computing performance (Python, C++). Be a generalist, supporting different parts of our software and hardware stack if needed. What makes you a good fit: Hands-on experience developing robotics software from the ground up. 2+ years of real-world industry experience in robotics, perception, or localization. Expertise in one or more of the following areas: computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software. Enthusiasm for taking on multiple roles and responsibilities as our company grows. You like fast-paced environments where you have high ownership over your work. Bonus Points: Experience deploying & optimizing robotics algorithms to run fast on embedded compute like NVIDIA Jetson. Familiarity with fusing data from GNSS, IMU, depth, and other sensors. If you're looking to help make a real, positive impact in the world by building the future of farming, come join us! Compensation Range: $130K - $190K

Job Description Healthcare is broken at the first step: patients can't find the right care, understand what it costs, or access the medications they need. Mochi Health is fixing this. We're building an AI-driven marketplace that makes healthcare discoverable—connecting patients to the right providers, transparent pharmacy pricing, and affordable medications. Over the past few years, we've grown rapidly by combining clinical expertise with technology that actually works for real people, not just hospital systems. Our platform does what legacy healthcare can't: it gives patients transparent pricing before they pay, personalized medication management that follows them across providers, and long-term access to their own medical records. We're proving that healthcare can be more affordable, more human, and far more intuitive than what exists today. Join a team that's rebuilding healthcare from the patient up. At Mochi Health, you'll work alongside people who value bold thinking, inclusive collaboration, and getting meaningful work into the world. If you want to do the most impactful work of your career, this is where to do it. Senior Fullstack Engineer Location: San Francisco, CA (5 days/week onsite) Salary Band: $230,000 - $280,000 (Open to Staff leveling at $280-330K) About The Role At Mochi, our engineering team operates with exceptional leverage. We believe in high talent density, where a focused, pragmatic team powers a profitable, nine-figure ARR healthcare platform serving hundreds of thousands of patients. We are looking for an Engineering Manager to help us scale, align, and unblock this organization. Mochi has already helped patients lose over 5 million pounds through metabolic care, and we are now rapidly expanding into the frontiers of preventative healthcare. To support this growth, we are actively leveling up our engineering maturity—pairing our ambitious, early-career engineers with incoming Senior and Staff-level talent to build our next generation of clinical systems. At Mochi, engineering is deeply integrated with our clinical and operational teams. We do not operate in silos. We need an Engineering Manager who is a true collaborative partner: someone who excels at mentoring junior developers, recruiting senior talent, maintaining a culture of high technical craft, and working directly with clinical leadership to co-design solutions for massive healthcare challenges. If you are a deeply technical leader who meets engineers where they are and cares profoundly about patient outcomes, this is the role. What You'll Do • Build High-Density Healthcare Interfaces: You will build the complex tools our clinical team relies on to treat patients safely. You will architect dynamic, multi-step medical intake engines, high-density provider charting dashboards, and patient-facing apps that handle sensitive PHI with perfect state synchronization., • Bridge Clinical & Client: Connect our complex backend medication ordering and fulfillment pipelines to intuitive, highly responsive frontend interfaces. You will translate dense healthcare requirements into seamless digital experiences., • Champion the User Experience: You don't just implement specifications; you deeply care about how patients and providers experience Mochi. You sweat the details of the UI and possess the strong product sense required to make pragmatic, high-quality design decisions on the fly that measurably improve patient outcomes., • Own the Full Lifecycle: True full-stack means owning the delivery. You will design the database schema, write the API, build the React interface, deploy the service, and own both backend reliability and client-side error tracking in production., • Build Agentic Workflows: Mochi is an AI-first engineering org. You will not only utilize frontier agentic models to accelerate your own development, but you will also integrate AI capabilities directly into our product to automate clinical operations and scale our provider workflows., • Raise the Engineering Bar: Own key architectural decisions across the stack, systematically upgrade legacy code, and elevate the engineers around you through rigorous code review, testing practices, and technical standards. Who You Are • You have operated high-stakes systems. You have 5-7+ years of full-stack engineering experience. You've built and operated production systems that handle real complexity, crossing the boundary between complex backend domain logic and polished frontend user experiences., • You master client-side state and performance. You know how to manage complex state across a large frontend application. You understand the tradeoffs of server-side rendering vs. client-side fetching, caching strategies, and how to build interfaces that feel instantaneous even when the underlying healthcare APIs are slow., • You get data modeling right. You think carefully about schema design and API boundaries, because you've seen what happens to the frontend when the foundational backend model is wrong., • You are a full lifecycle owner. You build things that run in production, not just pass review. You are comfortable with (or eager to master) Kubernetes, Terraform, AWS, and CI/CD, and you view deploying your own code and owning your system's reliability as a fundamental part of your job., • Your workflows are altered by AI. You are already using frontier agentic tools (e.g., Codex 5.3, Claude Opus 4.6) to build faster. You can describe specific ways these models have structurally changed how you code, while retaining the deep technical skepticism required to audit, verify, and own its output., • You are a collaborative builder. You have low ego, high standards, and excellent communication skills. You thrive in cross-functional environments where engineering requirements are heavily shaped by healthcare regulations, compliance, and patient safety., • You are excited to work in-person. You want to build alongside the team 5 days a week in our San Francisco office., • If you are targeting Staff leveling: We expect a demonstrated track record of setting technical direction across teams, navigating deep ambiguity, and measurably leveling up the engineers around you. Our Process We respect your time. Here is exactly what to expect: • Intro call (30 min, remote) — Chat with our recruiter about the role and expectations., • Technical round (2 hrs, remote) — Practical coding (AI tools welcome) + system design conversation. Real problems, not LeetCode., • Behavioral interview (45 min, remote) — Technical background, motivation, and what you're looking for., • Team meet (2 hrs on-site) — Come to our SF office to meet your future manager, engineering peers, and product partners for 30-minute 1:1s, concluding with a quick recruiter wrap-up. We are ready to move as fast as you are. We can go from the first intro to offer in two weeks, or pace the rounds to comfortably fit your current work schedule. Life at Mochi Health ???? Time to Recharge – Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive ???? Wellness First – From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority ???? Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either ???? Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration -- The base salary for this full-time position ranges from $230,000 to $280,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location. Workplace Policy Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve. Equal Opportunity Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Mochi Health's Candidate Privacy Notice here. Accommodations Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at hr@joinmochi.com.

Job Description Location: Palo Alto, CA (hybrid) Small business owners don't have a risk department. They spend their time and energy starting and growing a business. NEXT's mission is to help entrepreneurs thrive, and we're using AI to make business insurance simple, fast, and affordable enough that it never costs them a day of work. We're an AI technology company that happens to also be a fully licensed insurance carrier. Because we're a full-stack carrier, AI isn't a layer bolted onto someone else's product. It's in the underwriting, the pricing, the classification, and increasingly in how the product itself gets built. We're rebuilding the core judgment loops of a hundreds-of-years old industry, and doing it with a lean team, which is exactly why AI matters. We underwrite our own risk, build our own systems, and own the entire value chain, so the product decisions made here show up directly in what a customer pays and how fast they get covered. Since 2016 we've insured hundreds of thousands of small businesses across the country. As a subsidiary of Munich Re and ERGO, our growth is backed by the financial strength of one of the world's leading reinsurance and insurance groups. About the role: ERGO NEXT is building its Finance organization to be AI-native — starting with reinventing how we forecast the business from the ground up. We're looking for a Strategic Finance Manager, AI & Forecasting to help lead this transformation: someone with strong core strategic finance fundamentals who is equally excited to redesign forecasting, planning, and reporting workflows around AI/LLM-based tools rather than layering AI on top of legacy spreadsheet processes. Reporting to the Head of Revenue & Growth FP&A, this is a high-visibility, high-impact role at the intersection of strategic finance and applied AI, with the mandate to define what "AI-native FP&A" looks like at ERGO NEXT. What You'll Do: • Lead the redesign of the topline revenue forecasting process from the ground up, using AI/LLM-based tools and workflows in place of legacy manual, spreadsheet-driven approaches, • Partner with Finance and Data Science to identify, evaluate, and implement AI tools and agentic workflows that improve the speed, accuracy, and scalability of forecasting and planning, • Drive long-range and annual planning process while building repeatable, AI-assisted modeling and reporting frameworks, • Spearhead strategic finance activities applying AI-driven analysis to accelerate diligence and scenario modeling, • Partner cross-functionally to define and automate KPI tracking, using AI to surface insights and recommendations faster than traditional analysis allows, • Prepare Board materials and executive presentations, incorporating AI-generated analysis and scenario modeling to sharpen the narrative, • Act as an internal champion and educator for AI adoption within Finance, documenting playbooks and mentoring team members as new tools and workflows are rolled out What We Need: • BA/BS in finance, accounting, economics, or a quantitative discipline, • 4–6 years of finance experience in a fast-paced environment with a track record of success (background in investment banking, corporate development, or strategic finance a plus), • Genuine enthusiasm for AI tools (e.g., LLM-based agents, AI-powered modeling/analysis platforms) and a track record of adopting or building workflows around them — prior hands-on use of tools like Claude, ChatGPT, or similar in a finance/analytics context strongly preferred, • Ability to break down and solve complex, ambiguous problems with strong business acumen and data-driven techniques, including comfort redesigning a process rather than just operating an existing one, • Basic technical fluency (e.g., SQL, Python, or low-code/AI tooling) sufficient to prototype or evaluate AI-driven finance workflows a plus, though not required, • Excellent attention to detail and organizational skills, with the ability to manage competing and shifting priorities in a fast-paced environment, • High degree of reliability and integrity, with sound judgment operating in a newly-defined, ambiguous role, • Strong interpersonal and communication skills, with the ability to bring both technical and non-technical stakeholders along on a change-management journey Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $117,000—$158,000 USD Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job DescriptionTITLE: Software Engineer IIRESEARCH AND DEVELOPMENT – BIOINFORMATICS AND SOFTWARE ENGINEERING We are seeking talented, curious, and self-motivated software engineers to help build the most advanced production-scale synthetic biology platform on the planet. Client X manufactures sustainable plant-derived ingredients using fermentation-based technology to help accelerate the move away from petrochemicals in our food, cosmetics and medicines. Our ingredients are used by more than 250 million consumers in over 2,000 of the worlds’ leading brands. R&D at Client X is a highly multidisciplinary effort and the Bioinformatics, Automation and Software Engineering (BASE) group is at its core driving us forward. Every aspect of our work, from modifying the DNA of microorganisms in the lab to full scale factory production, is facilitated by software and hardware automation. In addition, we collaborate daily with data scientists and computational biologists to use our wealth of data to solve problems using machine learning and other optimization techniques. Our tools integrate the activities of scientists, engineers, and industrial robots to enable the rapid optimization of genetic designs and laboratory processes to deliver high quality ingredients to our customers. Among the tools we have developed are a CAD/CAM system for genetic engineering: a compiler toolchain whose target architecture is life itself. This stack physically integrates high level genetic modules into microbial hosts. We also derive novel strains through random mutagenesis and directed evolution. Using our custom control platform, we then subject these experimental organisms to high throughput performance screening in our state-of-the-art robotic labs. Responsibilities: • Design, develop and maintain web-based application written in Python., • Collaborate with scientists to transform an understanding of their workflow into designs and implementations of appropriate data models and user interfaces., • Effectively communicate with research scientists., • Apply best practices of software development throughout your work, while staying abreast of advances in the practice. Qualifications:, • 3+ years of professional programming experience, • Strong coding skills in either Python or a similar language. Ideally deep experience in multiple languages. In addition to Python, Amyris has codebases in F#, R and PHP (phasing out, but still have some important legacy code)., • Experience with full-stack web application development, including coding skills in JavaScript, CSS and HTML. Relational database design and coding experience. We use PostgreSQL and SQL Server, though we also treat plasmids and chromosomes as datastores., • Experience developing software in a Unix environment. Dev tools are chosen at the developer’s discretion, but most of the software development and all production deployment is on Linux (Ubuntu)., • Fluent Linux command-line skills., • Interest and ability to communicate with scientists

Job DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional SaaS companies sell static dashboards and walk away, Flexport's Forward Deployed Engineers (FDEs) embed directly on the frontlines with enterprise clients (such as Fortune 500 retailers, automotive manufacturers, and tech giants) to solve high-stakes supply chain challenges. You are an operational strike-team leader who sits at the intersection of full-stack software engineering, applied AI, operations research, and executive client strategy. Deployed to client command centers and logistics hubs, you will connect fragmented enterprise data, architect solutions, and build agentic AI systems that optimize real-world cargo moving across ocean, air, and land. You won't just write code in a vacuum, you will embed with client engineering leaders and VPs of Supply Chain, map messy operational reality into production software, and deploy autonomous workflows that directly eliminate millions in logistics waste. You Will • Embed & Map: Travel to client sites to map end-to-end supply chain processes, audit legacy systems, uncover hidden financial leaks, and translate complex operational constraints into technical architectures., • Design and build production solutions spanning customer applications, internal tools, APIs, data pipelines, decision-support systems, and workflow automations connecting directly to client ERPs (SAP, Oracle, NetSuite), WMS, and TMS systems, • Build & Deploy Applied AI Solutions: Design and ship production-grade AI applications, agentic LLM workflows, and decision engines., • Solve Complex Mathematical Optimization: Apply optimization algorithms and analytical methods to real-world logistics challenges to problems such as routing, mode selection, inventory positioning, container utilization, consolidation, and exception prioritization., • Own the 90-Day Sprint Lifecycle: Drive high-velocity deployment sprints, taking solutions from discovery and architecture to live production deployment, operator adoption, and verified hard-dollar ROI measurement., • Productize the Field: Partner closely with Flexport core Product and Platform Engineering teams to turn custom, field-tested client builds into reusable platform capabilities for our global logistics engine., • Bridge Engineering & Operations: Work side-by-side with frontline logistics teams at ports, cross-docks, and client sites to validate code in live operational workflows, train users, and ensure lasting adoption., • Drive Executive Decisions: Communicate technical trade-offs, system architecture, and financial outcomes directly to client technical leaders and C-suite executives.You Should Have, • Educational Background: BA/BS degree or equivalent practical experience in Computer Science, Software Engineering, Operations Research, Applied Mathematics, or a related technical field., • Full-Stack Production Engineering: 4+ years of professional software engineering experience building customer-facing or mission-critical applications (Python, TypeScript/React, SQL, REST/GraphQL APIs, relational databases, and event-driven architectures)., • Hands-on AI & Systems Experience: Demonstrated ability to build and integrate AI/ML solutions (LLM orchestration, agentic workflows, machine learning models, or mathematical optimization solvers)., • Data & System Architecture Mastery: Strong skills in designing data models, pipeline transformations (ETL), API integrations, and event-driven workflows across complex enterprise software architectures., • Customer-Facing Drive: Passion for going on-site, whiteboarding complex workflows with executive stakeholders, sitting with frontline operators, and building deep trust with technical and business teams., • Systems Thinking & Problem Solving: Ability to reason through messy real-world data, imperfect operational dependencies, and economic trade-offs under high-ambiguity conditions., • Bias for Action & Ownership: High autonomy, self-starter mentality, and a track record of delivering end-to-end projects with measurable financial or operational impact., • Mobility: Willingness to travel to customer headquarters and logistics sites as needed to work directly on the operational frontline.Bonus Points (What Will Make You Stand Out), • Domain knowledge in global supply chain, ocean/air freight, customs compliance, warehousing, inventory management, or trade financing., • Background in Operations Research (linear programming, network optimization, route planning, queueing theory) and enterprise implementation, • Prior experience as a Forward Deployed Engineer, Solutions Architect, Technical Consultant, or Founding Engineer in a fast-paced environment Location: San Francisco, CA (up to 50% travel required) #LI-Onsite The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $206,181—$252,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Frontend Engineer — Web Replication Preference Rater Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities • Render a reference page and two candidate replications side by side at desktop width. Judge which is the closer reproduction., • Diff layout fidelity in detail, including box model, typography, color, image handling, and overflow., • Inspect underlying markup with browser devtools to distinguish genuinely correct replications from those that merely look correct., • Evaluate responsive behavior and semantic quality, ensuring proper use of flexbox and grid., • Write structured rationales for every judgment, ranking defects by importance in precise language., • Flag ties, ambiguous cases, and broken task items rather than forcing a preference. Qualifications Must-Have • 3+ years of professional web development experience, primarily in frontend or full-stack work., • Fluency in hand-written HTML and CSS., • Working command of browser devtools., • Enough JavaScript to read scripts and understand DOM manipulation., • Comfort in a terminal for local server setup., • Strong written English and discipline to justify judgments. Preferred • Prior RLHF, preference labeling, or model evaluation work., • Code review or technical assessment background., • Pixel-perfect design-to-code experience., • Web accessibility expertise (WCAG, ARIA)., • Familiarity with LLMs' typical failures in codegen., • Web scraping or DOM parsing experience. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job Description Career Renew is recruiting for one of its clients a Growth Lead - AI - this is an onsite role in San Francisco. Salary range: 150-225K USD base plus benefits plus equity. We believe that teaching AI agents to do work for you (building automations) should and will be as easy as showing an expert colleague the workflow you’d like to get done. We currently help enterprise businesses create and scale reliable end to end automations that are 10x the speed and lower costs than the existing legacy tools (RPA). Our technology helps some of the world’s largest companies streamline their operations, and we’re scaling quickly. In practice - we're redefining Enterprise AI Agents RPA (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to bring these to real-world customers and applications. Come help us build this. The Role We’re looking for a Head of Growth to build and scale our brand and demand engine. You’ll define how we reach new audiences, craft our story across digital channels, and translate technical innovation into powerful, human-centered narratives. You’ll lead end-to-end marketing initiatives -- from content and lifecycle campaigns to SEO and performance marketing -- while using data and experimentation to drive measurable growth. This role blends creativity and analytics: part storyteller, part strategist, part growth hacker. You’ll work closely with our founders, engineers, and forward-deployed teams to ensure our message connects authentically with customers and the broader AI ecosystem. What You’ll Do Design and execute integrated marketing campaigns across email, web, and social channels to drive awareness and adoption of our platform Lead content strategy -- from thought leadership and case studies to videos and community initiatives -- ensuring consistent storytelling and brand voice Develop and optimize SEO/GEO and paid search strategies to increase reach and engagement Analyze performance data and run growth experiments to identify new opportunities and improve our ROI Collaborate with product, engineering, and sales teams to align messaging, launch new features, and support customer success stories Build and manage the full marketing stack, automation workflows, and analytics dashboards for campaign tracking and insights Stay ahead of algorithmic trends on LinkedIn, X, and other platforms to maximize organic traction Requirements: 3 - 6 years of experience in growth marketing at a high-growth B2B SaaS start-up that sells into Fortune 500 companies (ideally as first/solo hire or leads a function) (Mandatory) Demonstrated leadership experience and proven ability to scale the function from 0 to 1 at high growth B2B SaaS start-ups but still want to be involved as an IC (Mandatory) Generalist full-stack marketing experience including areas such as demand generation, pipeline building, full-funnel campaigns, partnerships etc (Mandatory) Experience in traditional B2B industries such as compliance, fintech (selling into insurance, mortgage, lending, and banking etc), or security tech (Nice-to-have) Natural intuition and ability to create a powerful storytelling narrative (Mandatory) Expertise with demand generation (e.g., running campaigns, launches, blog posts, partnership write-ups etc) (Mandatory) Fluency with analytics and automation tools (e.g., HubSpot, Google Analytics, Webflow, Notion, Figma, or similar) (Nice-to-have) Strong problem solving skills and ability to develop processes from scratch (Mandatory)

Job DescriptionAbout Gantri Gantri is the product innovation foundry for the design industry. We built the simplest way for designers, brands, and creators to launch category-defining products for their audiences at a fraction of traditional costs. We manufacture products on-demand at our Digital Factory in California from Gantri PlantPolymers, high-performance bio-polymers that replace traditional oil based plastics and eliminate the need for inventory. Since launching lighting in 2017, we have introduced over 200 products by some of the world's best designers, earning more awards than any other design manufacturer in America, including Fast Company's Most Innovative in Design and TIME's Best Inventions. In 2026 we launched Gantri Wireless, the biggest leap forward in lighting in decades: full-powered light anywhere you go. The role You will run Gantri's digital marketing engine across every channel: paid social, paid search, email, SMS, affiliate, and on-site conversion. You own the numbers. The single most important output of this role is a cross-channel reporting system built on multi-touch attribution that tells us, with confidence, where each dollar of DTC revenue comes from and where the next dollar should go. This is a role for a builder of systems, not a firefighter. We are looking for someone who creates order: clean data, documented processes, reliable weekly reporting, and campaign calendars that are planned months ahead rather than days. You will be the person in the room who can say what actually happened, why, and what we should do next, with the model to back it up. You will manage our two agency relationships (paid media and email) directly and be accountable for their output. This role reports to our Head of Brand. What You'll Do • Build and own cross-channel performance reporting using multi-touch attribution. This includes designing the attribution model, maintaining the data pipeline behind it, reconciling platform-reported and modeled numbers, and producing the weekly and monthly views the leadership team runs the business on., • Plan, budget, and forecast DTC marketing spend across channels. Set targets for CAC, ROAS, MER, contribution margin, and new-customer revenue, then track performance against them., • Own the day-to-day relationship with our paid media agency: briefs, budgets, creative requests, testing roadmaps, and performance reviews. Hold them to targets., • Own the relationship with our email and SMS agency: campaign calendar, flows, segmentation strategy, list growth, and deliverability. Hold them to targets., • Run the campaign calendar across all channels, coordinated with product launches, designer collaborations, promotions, and seasonal moments., • Partner with the creative team to brief and evaluate ad and email creative. You will not design it, but you need to recognize what is on-brand and what is working, and translate performance data into creative direction., • Run structured testing programs (audiences, creative, offers, landing pages) with clear hypotheses, sample sizes, and readouts., • Monitor on-site funnel metrics (conversion rate, AOV, checkout drop-off) and work with the ecommerce and product teams on fixes., • Maintain clean tracking: pixels, UTMs, server-side events, and the integrity of data flowing into the attribution model and analytics stack.Required Experience, • 5+ years in digital marketing or growth for a DTC brand, with a proven record of growing DTC revenue. You should be able to walk us through the numbers: what you inherited, what you changed, what happened., • Experience in a design-led brand in home, lifestyle, beauty, fashion, or an adjacent category. You understand how considered-purchase, aesthetics-driven products are sold online., • Exceptional quantitative skills. You are comfortable building and maintaining attribution models, cohort analyses, LTV/CAC models, and spend forecasts in spreadsheets or BI tools. You understand the limitations of platform-reported attribution and how to triangulate with incrementality testing, MMM, or post-purchase surveys., • Deep hands-on knowledge of the ecommerce stack: Klaviyo or equivalent, Meta Ads, Google Ads, GA4, and at least one attribution or analytics platform (Northbeam, Triple Whale, Rockerbox, or similar)., • Highly organized. You run on calendars, trackers, documented processes, and written briefs, and you keep multiple agencies and workstreams moving on schedule without being chased., • Experience managing external agencies and holding them accountable to performance targets., • A good eye for brand. You can tell when creative is off-brand and articulate why, and you respect that aesthetics are part of the product. You do not need to be a designer., • Clear, concise written communication. Your reports and recommendations should be readable by someone who was not in the meeting.Preferred Experience, • Experience with SQL or a BI tool (Looker, Metabase, Mode) for pulling and modeling data directly., • Exposure to B2B or trade marketing alongside DTC., • Experience at a company with on-demand or made-to-order fulfillment, where inventory constraints differ from traditional ecommerce.Why Gantri?, • Be part of a company reimagining how design meets manufacturing., • Play a pivotal role in shaping the building blocks of Gantri products., • Drive innovation on our next-generation digital manufacturing platform., • Advance sustainable design practices in real-world production., • Work in a fast-growing, design-driven environment., • Bring visionary concepts to life at scale.Benefits, • Competitive salary and equity options, • Comprehensive health, dental, and vision coverage, • Paid time off and flexible vacation policy, • 401(k) retirement plan with company match, • Professional development opportunities and learning stipend, • Collaborative, creative, and sustainability-focused work environment, • Access to Gantri-designed products and innovation initiativeGantri, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Pylon America’s $13T mortgage market is one of the most important financial systems in the world. It underwrites the middle class and is the mechanism through which millions of families build wealth. But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand. We started from zero and created the first vertically integrated mortgage platform that turns origination into a single API. Publicly traded companies and the country’s largest originators are already building on Pylon. Revenue is compounding monthly. We’re backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury. Working at Pylon isn’t for those seeking comfort. The people who thrive here have high agency, strong opinions, and a track record of delivering outcomes without direction. Many of us are former founders. We move quickly, challenge each other directly, and take full ownership of results. It’s hard work, but it will be worth it. Join us in building America’s mortgage rails. The Role This is not a seat in an established accounting department, it's a chance to build one. You'll be an early finance hire working directly with the CFO. Together we're designing an automation-first accounting function: an AI-native general ledger, warehouse funding optimization, and a modern loan origination system, integrated with our proprietary command center, under a controls framework built for SOC 1 Type II reporting and, ultimately, operate at a public-company 404(b) level of assurance. You'll own day-to-day accounting operations end to end and then automate them. Every process you run is a process you'll help redesign for scale. What You'll Own Core operations — Full-cycle AP/AR, GL accrual accounting, and vendor mapping across the finance stack; own the monthly close calendar and drive it shorter every quarter. Loan lifecycle — Loan-level accounting and diligence from lock to settlement — funding reconciliations, warehouse line activity, gain-on-sale, and investor settlement. Controls — Execute and document internal controls designed for SOC 1 Type II reporting; partner with the CFO on IT audit design, evidence automation, and audit readiness. Reporting — Build state-level and loan-level production metrics and ad hoc analyses in an AI-native reporting layer; deliver board- and lender-ready outputs. Automation — Identify manual work and kill it — configure integrations, define system requirements, and test automation across the GL, LOS, warehouse funding, and command center systems. Judgment — Make sound calls independently on classification, accrual, and process questions; escalate with a recommendation, not just a question. Who You Are 5–10 years of progressive experience with operational mortgage or structured credit depth — you've worked loan-level: a private credit fund managing non-QM pools, a whole-loan trading or aggregation shop, a mortgage originator's capital markets/accounting group, or similar. Command of the FASB codification where it meets mortgages — ASC 310/320/860 (transfers and servicing), ASC 820/825 (fair value), derivatives and lock pipelines (ASC 815), CECL — and the judgment to shore up reporting where policy doesn't exist yet. Big 4 foundation strong plus, not prerequisite; a top-university record and demonstrated rigor matter more than pedigree. Proven operator at a high level — you've owned a close, an audit, or a system implementation, not just supported one. Energized by AI-native tooling — you want to automate your own job's busywork, and you see an AI-first GL as an advantage, not a threat. A builder's temperament: comfortable with ambiguity, willing to grind, and excited to learn from leadership with a proven track record. Why This Role Ground-floor build of a modern, automation-first finance function — the kind of experience that typically takes a decade to access. Direct mentorship from a CFO with SEC/404(b)/Audit Committee experience and a CFO who has run finance at multiple lending platforms. Clear growth path as Pylon scales: this role is designed to grow into broader leadership. Remote-first flexibility with a high-ownership, high-trust culture. Compensation Range: $205K - $235K

Job DescriptionAbout Origin Origin is building Physical AI for the built world - starting with autonomous robots for Interior Construction. We are building Construction Action Models which allows our modular robots to learn, adapt and work in unstructured construction job site. Our robots are already deployed on live sites in New York City, helping accelerate schedules for large-scale commercial projects while improving safety and predictability on the job site. Backed by Tier-1 investors, Origin is working to close the gap between America’s surging demand for housing, data centers, and manufacturing infrastructure, and the construction industry’s growing labor shortage. The Role Our system runs a Multi Agent Action Expert architecture: classical precision algorithms orchestrated alongside learned policies. The job is systematically expanding the learned components while keeping the system production-safe. You own the full lifecycle of learned components on OG-1: from data collection and model training through edge deployment on Jetson AGX Orin. Every research project will have a deployment milestone. This is not a lab position. What you will own? • Define the technical roadmap for Robot Learning and Embodied AI., • Build and deploy learned policies for real-world mobile manipulation and contact-rich tasks., • Develop imitation learning, reinforcement learning, VLA, and learning-from-demonstration systems., • Fine-tune and adapt open-source VLA/foundation models for our robot platform., • Build scalable teleoperation → dataset → training → evaluation → deployment loops., • Develop DAgger / HG-DAgger and human-in-the-loop data collection pipelines., • Build simulation environments and training pipelines using NVIDIA Isaac Sim / Isaac Lab., • Develop sim-to-real strategies including domain randomization, system identification, and real-world policy adaptation., • Explore world models and latent dynamics models for planning, prediction, and policy learning., • Integrate learned policies with our existing ROS2 perception, planning, manipulation, control, and safety stack., • Optimize inference for deployment on edge GPUs using TensorRT, ONNX, CUDA, profiling, quantization, and related techniques., • Debug policies on physical robots: latency, observation drift, calibration errors, distribution shift, contact instability, action representation, control frequency, and hardware-induced failures., • Establish rigorous evaluation for learned systems across simulation, replay datasets, and physical robot experiments., • Build and mentor the Robot Learning team as we scale. Our broader robot architecture already spans perception, manipulation, planning, ROS integration, simulation, force/impedance control, quality assessment, and autonomous recovery. Requirements • BS/MS/PhD in CS, Robotics, ML, or related field from Stanford, MIT, UC Berkeley, CMU, Georgia Tech, ETH Zürich, or UPenn, or equivalent exceptional experience shipping learned systems on physical robots., • PhD: minimum 2 years relevant experience. Without PhD: minimum 5 years relevant experience., • Strong Python and PyTorch; comfortable modifying research codebases and open-source VLA implementations., • Experience in at least two of: imitation learning, RL, VLA/VLMs, robot learning from demonstration, sim-to-real., • Track record deploying ML on real robots — not just training policies, but debugging why they fail on actual hardware., • Working knowledge of ROS2 or equivalent robotics middleware., • Experience with simulation systems such as NVIDIA Isaac Sim / Isaac Lab., • GPU inference profiling and optimization (TensorRT, ONNX, CUDA); understand the impact of policy latency on real-time robot control.Strong Plus, • Hands-on with VLA architectures such as π0/π0.5, OpenVLA, RT-2, Octo, or robotics foundation-model fine-tuning., • Teleoperation data collection and DAgger / HG-DAgger pipelines., • World models such as DreamerV3, V-JEPA, or latent dynamics models., • Experience with contact-rich manipulation, construction, manufacturing, or industrial robotics., • Publications at CoRL, RSS, ICRA, NeurIPS — valued, but equivalent shipped work on real robots counts.

Job DescriptionSenior Robotics Controls Engineer Company: Atoms Location: San Francisco, CA (in office 5 days per week; up to 15% travel to mining sites) Compensation: $170,000 - $220,000 + competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers and new sponsorship (H-1B, TN) About Atoms Atoms is building the machines that power the next era of progress. Founded by Travis Kalanick after Uber, it consolidates eight years of technology development to bring Physical AI to industries that move civilization forward, across Atoms Food (formerly CloudKitchens), Atoms Mining (formerly Pronto AI, with 100+ autonomous haul trucks in live operation hauling millions of tons) and Atoms Transport. Atoms takes a modular, OEM-agnostic approach, integrating autonomy into existing vehicles and equipment, and has raised $1.25B+. The Role Atoms is hiring Robotics Controls Engineers (3+ years) to design and tune the core control systems that let 200+ ton autonomous haul trucks operate safely at mining sites. You will work on localization, path following, longitudinal and lateral control and steering, solving hard navigation problems at remote, unstructured sites in an engineering-first culture that ships real production systems. What You Will Do • Design, implement and tune control algorithms (MPC, PID) across varying payloads and grades., • Develop state estimation and localization pipelines fusing GPS/RTK, IMU and other sensors, including handling GPS dropouts., • Analyze performance through field testing on real trucks and log replay, and debug control issues to root cause., • Integrate controls with perception, planning and hardware teams in production vehicles., • Travel periodically (up to 15%) to customer mining sites for deployment and tuning.What You Bring, • 3+ years of controls engineering on autonomous vehicles or robots, • Control algorithm design (MPC, PID) and state estimation (Kalman filters), • Strong Python and C++, with ROS and Linux, • Field testing and debugging experience on real hardware, • Ability to work in the San Francisco office 5 days a week and travel up to 15%Nice to Have, • Mining autonomy experience (for example Hexagon, Caterpillar or Komatsu), • Heavy vehicle or off-road autonomyTech Stack Python, C++, ROS, Linux, MPC, NumPy, SciPy, NVIDIA Jetson, GPS/RTK, IMU, CAN bus, Kalman filters (EKF/UKF)

Job Description The Role: As a Research Engineer - Vision & Vision-Language Models, you will be a core contributor on Zyphra’s Vision Team, building the next generation of models for image understanding, computer use, and other agentic visual tasks. You will work across the full model development stack, from sourcing and generating data to pretraining, post-training, reinforcement learning, and evaluation. The Vision Team owns its models end-to-end, and you will have the opportunity to contribute wherever you can have the greatest impact. We care strongly about rate of learning, research taste, and ability to execute. Previous experience training vision-language models is valuable, but not required. You’ll Work Across: End-to-end pretraining and post-training of vision-language models Large-scale vision and multimodal training runs Vision and multimodal dataset sourcing, generation, curation, processing, and evaluation Reinforcement learning and other post-training methodologies for vision-language models Computer use, visual agents, and other multi-turn agentic vision tasks Architecture, data, and training methodology ablations and improvements Performance optimization of our training and data processing stacks What We're Looking For / Requirements: Strong research taste and intuition, with the ability to take ambiguous problems from conception to experimentation and execution Strong implementation and prototyping ability; you can turn ideas into experiments quickly A high rate of learning and an ability to rapidly become effective in unfamiliar technical areas Strong general machine learning intuition and an interest in understanding the full model development stack The ability to work well with others in a high-paced research setting Excellent communication and collaboration skills, and the ability to work effectively across both research and engineering implementation at scale Qualifications / Additional Skills: Experience working with vision, vision-language, video, or other multimodal models or datasets is highly valuable Experience training vision-language models is a plus, but not required Experience with large-scale model pretraining, post-training, reinforcement learning, or related methodologies Experience sourcing, generating, or curating vision datasets, including synthetic data generation Familiarity with image processing tools, libraries, or pipelines Experience with computer use agents, visual agents, GUI understanding, or other multi-turn multimodal tasks is a plus Experience with frontend development, web frameworks, UI/UX implementation, or mobile development is valuable, particularly for computer use and interface-understanding tasks Experience training models on large-scale, multi-node GPU clusters Strong grasp of experimental methodology for running rigorous ablations and hypothesis testing Understanding of large-scale, highly parallel data processing pipelines Proficiency with PyTorch and Python Strong ability to dive into large pre-existing codebases and rapidly get up to speed Published machine learning research in well-respected venues is a plus Postgraduate study in a scientific or technical field such as Computer Science, EE/EECS, Mathematics, Physics, or Machine Learning is a plus, but we care more about demonstrated ability and trajectory than credentials Why Work at Zyphra: Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas You will have the opportunity to work across the entire model development lifecycle rather than being constrained to a narrow part of the stack We move as quickly as we can; we aim to minimize the bar to impact as much as possible We value rate of learning and growth, not just what someone has already done We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) plan Relocation and immigration support on a case-by-case basis In-office snacks and meals provided Unlimited PTO and company holidays In-person team in San Francisco with a collaborative, high-energy environment

Job Description About Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Full-Stack Engineer (Backend-leaning) to design and build the systems and user-facing features that power Collate. You’ll spend most of your time on backend challenges—APIs, services, and infrastructure—but you’ll also ship end-to-end features. This is an opportunity to help define our technical foundation, collaborate directly with design and product, and shape how our users experience Collate from day one. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Key systems include S3, PostgreSQL, Kafka, OpenSearch, LLMs, and other AI models. What You’ll Do • Design and scale backend services, APIs, and data pipelines that power Collate’s products., • Deliver end-to-end, production-ready features in partnership with product, design, and AI engineering., • Balance iteration speed with technical rigor to ensure systems scale reliably., • Create internal tools and workflows that accelerate engineering productivity., • Share responsibility for production systems, including participating in on-call rotation.What We’re Looking For, • Have experience building across the stack, with deeper strength in backend systems., • Enjoy taking features from idea → backend architecture → polished UI., • Care deeply about both technical robustness and the end user experience., • Are motivated by ambiguity, eager to pick up missing knowledge, and excited to solve novel problems., • Value speed, pragmatism, and scrappiness but know when to design for robustness., • Have been an early-stage engineer or startup founder—or aspire to work at that level of ownership. Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is depending on experience and level (Tier 1, San Francisco) SWE: $158-200K; Senior SWE: $188-250K; Staff SWE: $228-296K; Principal $275-325K We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description:\n\n About Legion Health\nAt Legion Health, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.\nLegion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.\nOur technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.\nLegion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.\nJoin us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.\n Role Logistics\n\n \n Job Type: Full-Time\n \n Role Type: GTM Engineering / Revenue Systems / Provider Partnerships / AI Automation / Data & Attribution\n \n Ideal Experience Level: 5+ years, including 3+ years owning GTM systems, revenue automation, growth engineering, or technical RevOps\n \n Location: In-Person in San Francisco, CA\n \n US Visa Sponsorship: Yes\n\n The Opportunity\nLegion is hiring a GTM Engineer to build the AI-native commercial and referral infrastructure behind our provider-partnership motion. Your systems will help us identify the right provider organizations, reach the right stakeholders, turn interest into referrals, and move referred patients into care quickly.\nThis is not a traditional RevOps or CRM administration job. You will own the technical architecture from market mapping and outbound through referral intake, attribution, eligibility, onboarding, and partner reporting. You will configure best-in-class tools when they are sufficient and write code or build integrations, agents, and internal products when they are not.\nYou will build both sides of our sales motion. From the bottom up, Legion needs a complete view of every clinic, location, physician, referral coordinator, and office leader in a market. From the top down, we need to map enterprise medical groups, centralized referral teams, executives, clinical leaders, and every stakeholder who can shape a partnership. The system should tell each representative who matters, why they matter, what happened last, and what to do next.\nYou will also engineer the path from referral to care. Referrals may arrive through fax, forms, APIs, tracked links, QR codes, phone calls, or patients who begin online after a provider recommendation. Regardless of channel, Legion must identify the source, resolve the provider and organization, preserve attribution, process the referral, initiate eligibility and onboarding, and synchronize the right data across our CRM, product, analytics, and patient-engagement systems.\nThe right person is a hands-on systems builder with strong product judgment. You should be comfortable choosing a CRM, modeling complex account hierarchies, writing SQL and lightweight production code, integrating APIs, deploying AI workflows, debugging failures, and partnering with sales, product, engineering, data, operations, clinical, compliance, and security teams. Over time, you will help turn provider partnerships into a secure product that makes Legion the easiest specialty care partner in the country: simple to refer patients to, easy to collaborate with, and consistently responsive.\n✅ Responsibilities and Deliverables\n\n \n Select and architect Legion’s provider-partnership CRM—whether HubSpot, Salesforce, Attio, or another AI-native platform—as the source of truth for organizations, locations, stakeholders, opportunities, referrals, ownership, and next actions.\n \n Design a durable account hierarchy that connects individual clinicians, clinic locations, care teams, medical groups, parent organizations, enterprise partnerships, and internal owners without losing history or context.\n \n Build a provider prospecting data layer using NPI and claims data, Definitive Healthcare or similar datasets, public sources, enrichment providers, and Legion’s internal data.\n \n Create account-scoring and territory systems that prioritize targets using geography, specialty, patient volume, payer mix, referral potential, network relationships, and engagement signals.\n \n Build coordinated outbound workflows across email, phone, LinkedIn, direct mail, events, lunch-and-learns, and field sales using tools such as Clay, Apollo, LinkedIn Sales Navigator, sequencing platforms, AI agents, and custom integrations.\n \n Map clinic-level champions and referral coordinators alongside enterprise executives, clinical leaders, operations leaders, and centralized referral teams so Legion can sell from the bottom up and the top down.\n \n Equip sales representatives with accurate contact data, office addresses, account briefs, relationship history, meeting preparation, follow-up automation, and clear next-best actions.\n \n Deploy AI-assisted workflows for account research, stakeholder discovery, enrichment, outreach drafting, call intelligence, CRM updates, and follow-up with appropriate evaluations and human review.\n \n Build an omnichannel referral-ingestion layer that turns fax, forms, APIs, tracked links, QR codes, phone calls, provider handoffs, and patients who begin online after a provider recommendation into structured, traceable records.\n \n Automate referral processing, including document extraction, provider and organization matching, deduplication, completeness checks, routing, exception handling, and audit trails.\n \n Connect referral intake to insurance eligibility and AI-native front-desk workflows for patient outreach, onboarding, and scheduling so referred patients reach the right next step without avoidable delays.\n \n Own end-to-end attribution across the referring clinician, clinic, parent organization, partnership, sales representative, campaign, channel, UTM, QR code, landing page, fax source, and downstream patient journey.\n \n Integrate the provider CRM, Legion’s database, the patient-facing CRM, PostHog, Braze or another lifecycle platform, analytics systems, and custom applications into one coherent data flow.\n \n Partner with product and engineering to build secure provider-facing dashboards and workflows for referral volume, referral status, time-to-contact, scheduling progress, coverage and copay information, and other authorized care-coordination information.\n \n Build compliant workflows that return medical records, care summaries, and status updates to referring care teams through approved fax, secure email, portal, interoperability, or other authorized channels at the right cadence.\n \n Create dashboards and operating reviews for market coverage, stakeholder penetration, outreach performance, pipeline, referral volume, conversion, speed to care, repeat referrals, partner expansion, and revenue impact.\n \n Own production reliability across monitoring, logging, retries, rate-limit handling, identity resolution, testing, versioning, access control, documentation, and recovery when systems fail.\n \n Treat HIPAA, PHI handling, minimum-necessary access, role-based permissions, audit trails, consent, and provider trust as product requirements in every automated workflow.\n \n Make disciplined build-versus-buy decisions, ship useful first versions quickly, and drive adoption through clear playbooks, training, and change management.\n\n You’ll Be Successful If You…\n\n \n Give Legion a provider CRM and data model that the team trusts as the source of truth.\n \n Create a complete, prioritized map of each market so representatives spend time with the right organizations and people.\n \n Build a repeatable outbound engine that produces qualified provider conversations and pipeline through coordinated digital, field, bottom-up, and top-down plays.\n \n Ensure every referral is captured, processed, routed, and attributed correctly regardless of how it arrives.\n \n Reduce the time from referral to eligibility, patient contact, onboarding, scheduling, and completed care.\n \n Give referring care teams a secure, useful experience that increases trust and repeat referrals.\n \n Remove repetitive research, data entry, document processing, routing, follow-up, and reporting work without sacrificing accuracy or judgment.\n \n Build reliable systems that sales and operations adopt, improve continuously, and measurably increase referral volume, conversion, speed to care, partner retention, and revenue.\n\n Ideal Background and Skills\n\n \n 5+ years in GTM engineering, revenue operations, sales operations, growth engineering, business systems, data engineering, internal tools, or another systems-building role close to revenue.\n \n 3+ years directly owning CRM architecture, GTM automation, data pipelines, outbound infrastructure, attribution, or technically complex revenue programs.\n \n Strong technical foundation: advanced SQL plus the ability to write and review production-quality Python, JavaScript, or TypeScript for integrations, automations, and internal tools.\n \n Deep CRM fluency in HubSpot, Salesforce, Attio, or similar, including objects, associations, account hierarchies, lifecycle stages, permissions, routing, reporting, deduplication, and data governance.\n \n Hands-on experience with APIs, webhooks, ETL or reverse ETL, event instrumentation, identity resolution, error handling, observability, and modern data warehouses.\n \n Practical fluency with modern GTM tools such as Clay, Apollo, Definitive Healthcare, LinkedIn Sales Navigator, Outreach, Salesloft, n8n, Make, Zapier, Workato, or equivalent platforms.\n \n Production experience with LLM-powered research, extraction, classification, routing, or agentic automation, including structured outputs, evaluations, monitoring, confidence thresholds, and human-in-the-loop review.\n \n Strong analytical judgment across funnels, attribution, pipeline, conversion, velocity, cohort analysis, experimentation, and revenue impact.\n \n Strong product sense and build-versus-buy judgment. You can turn a messy frontline problem into a coherent system that people trust and use.\n \n Strong preference for experience in healthcare, provider partnerships, referrals, physician networks, field sales, multi-location organizations, or another complex relationship-driven business.\n \n Healthcare and security judgment: disciplined access controls, auditability, minimum-necessary access and data use, consent, and close partnership with compliance and clinical leaders.\n \n Bonus: experience with eFax, referral management, EHR integrations, HL7, FHIR, eligibility, claims, provider directories, or NPI data.\n \n Excellent cross-functional communication. You can translate the needs of a sales representative, referral coordinator, operator, clinician, engineer, analyst, and executive into a system that works.\n \n Low ego, high ownership, and startup intensity. You can diagnose the bottleneck, design the solution, ship a useful version, measure the result, and improve it quickly.\n\n Compensation & Benefits\n\n \n Salary: $140,000 – $260,000, based on experience\n \n Early-Stage Equity: Meaningful ownership in a category-defining company.\n \n Health Insurance: Medical, dental, and vision benefits\n \n Additional Perks: In-person retreats, meal stipends, GTM and revenue-systems tooling budget, learning stipend, AI tooling budget\n \n Time Off: Flexible, unlimited vacation policy\n \n Work Hours: Flexible, with responsiveness around high-impact launches or system issues\n \n Work Setup: In-Person in San Francisco, CA\n \n Impact: Build the technical system that turns partnerships into faster access to high-quality medical care for all.\n \n Autonomy and Learning: Own CRM architecture, provider data, outbound infrastructure, referral workflows, attribution, AI automation, reporting, and partner-facing systems end-to-end.\n \n Growth Opportunities: As Legion scales, this role can grow into Head of GTM Engineering, Head of Revenue Operations, or a broader product and growth leadership role.\n\n How to Apply and Hiring Process\n\n \n Apply here: https://jobs.ashbyhq.com/legionhealth/3a007cb1-faad-4854-a847-e4b77eaf3a42\n \n Overview of our hiring process:\n\n \n Resume + Application Screen\n \n Founder Interview\n \n GTM + AI Systems Deep Dive\n \n Professional Reference Checks\n\n \n Estimated time-to-hire: 2 weeks\n \n Start date: ASAP\n \n Hiring manager: Arthur MacWaters\n\n Equal Employment Opportunity\nLegion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.\nCompensation Range: $140K - $260K

Job Description About Us Chariot Defense is a defense technology company that designs and manufactures a family of power products for the U.S. military and its allies. We believe that credible deterrence of armed conflict and winning if deterrence fails, requires more than just the best drones, sensors, weapons, electronic warfare systems, and command & control capabilities. Those critical components will require sustained electric power in austere and resource-constrained environments. Moreover, military units must be able to turn off the trucks and generators that generate this power to hide and survive. In other words, power generation must be decoupled from power consumption. Chariot Defense's products enable exactly this capability, allowing U.S. and allied militaries to be more lethal and survivable. We hope you will join us on this mission. About the Role Our product spans the entire software stack, from the embedded controls running on rugged hardware, through the networking and data plumbing in between, up to the databases and cloud systems that store and make sense of it all. We're looking for a true generalist who is comfortable everywhere on that spectrum: someone who can follow a piece of data from a sensor on the hardware all the way to a dashboard, and write code at every stop along the way. Your core competency is systems programming (C, C++, Rust), but you've had real exposure to the higher layers; services, databases, and cloud deployments. You'll be the connective tissue across our stack, taking on the high-leverage work that falls between specialized roles and keeps the whole system moving. A hardware sensibility matters here. This is software on physical hardware enabling higher-level capability, and we want someone energized by that full picture. Our team comes from Tesla, Anduril, Apple, Archer, and the U.S. military, and we're already fielded across DoD. This is a high-ownership, high-autonomy role for an engineer who'd rather see the whole product than live in one lane. Key Responsibilities • Work across the stack: Move fluidly between low-level embedded work and higher-level services, picking up whatever layer needs attention rather than staying confined to one. Bridge hardware and cloud: Build the pipelines that carry telemetry off our devices, through intermittently connected networks, and into databases and cloud environments where it can be stored, monitored, and analyzed. Build the higher layers: Stand up and maintain the back-end services, databases, and cloud infrastructure that turn raw device data into something useful. Apply systems programming where it counts: Bring low-level expertise to the places where performance and direct hardware interaction matter. Fill the gaps: Own the pieces that fall between specialized roles — often where products stall — and keep the system end-to-end coherent. Cross-functional collaboration: Work across firmware, embedded Linux, manufacturing, and product to connect the layers and unblock the team wherever the work demands it. What We're Looking For • Top-notch engineering intuition and first principles thinking toward designing complex products that function seamlessly for your customer, taking both an engineering/ technical, and product/ customer approach, to strike the optimal balance., • Able to independently identify critical information or priority gaps and apply effort toward closing those gaps., • Undaunted by imperfect, incomplete or absent datasets or information, and capable of making sound, comprehensive, and swift first-principled decisions to achieve a product end-state that meets and/or exceeds the need of the hour., • Not satisfied by superficial explanations of a problem or "band-aid engineering"; seeks persistently to find the specific root cause through data-driven methods, and resolve failures or recurring issues, so they can be mitigated to prevent future such instances., • Gratified by helping your peers succeed, building a robust team culture, and propagation deep camaraderie amongst your peers; seeks to break down information silos by collaborating rigorously with others to solve problems, share knowledge, and provide input. Qualifications Required:, • BS in Computer Science, Electrical/Computer Engineering, or equivalent demonstrated experience. 3+ years building software across multiple layers of the stack. Strong systems programming experience (C/C++/Rust). Demonstrated experience moving data from embedded devices up to cloud or backend systems. A track record of shipping at more than one layer, from hardware-adjacent code to services and databases. Preferred: • Deep experience with cloud infrastructure, databases, or backend services at scale. Hands-on embedded or hardware background. Comfort owning ambiguous, cross-cutting problems end-to-end. Background in automotive, aerospace, defense, robotics, or energy. Role Requirements • This position is an onsite role based in Chariot Defense's San Bruno, CA, office., • Willingness to support 10% travel, domestically and internationally, as well as work extended and weekend hours, when necessary. A reasonable estimate of the current salary range is $130,000-$180,000 annually. Compensation packages also include early-stage equity and access to company-sponsored benefit plans. Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors. All employees are required to provide proof of authorization to work in the U.S. within their first 3 days of work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Chariot Defense are considered property of Chariot Defense and are not subject to payment of agency fees.

Job Description About the Role: As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both the front-end and back-end components of web applications to deliver seamless user experiences. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. Your role will involve writing clean, efficient, and scalable code while ensuring the responsiveness and performance of applications across various devices and platforms. You will also be tasked with troubleshooting, debugging, and optimizing existing systems to enhance functionality and user satisfaction. Ultimately, your contributions will directly impact the quality and success of the software products, driving innovation and continuous improvement within the development team. Minimum Qualifications: • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience., • Proven experience in full stack web development with proficiency in JavaScript, HTML, and CSS., • Experience with at least one front-end framework such as React, Angular, or Vue.js., • Strong knowledge of back-end technologies such as Node.js, Python, Ruby, Java, or .NET., • Familiarity with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB., • Understanding of RESTful API design and integration., • Experience with version control systems, preferably Git., • Ability to write clean, maintainable, and well-documented code. Preferred Qualifications: • Experience with cloud platforms such as AWS, Azure, or Google Cloud., • Knowledge of containerization and orchestration tools like Docker and Kubernetes., • Familiarity with CI/CD pipelines and automated testing frameworks., • Understanding of security best practices in web application development., • Experience working in Agile or Scrum development environments., • Contributions to open-source projects or personal development projects. Responsibilities: • Develop and maintain front-end interfaces using modern JavaScript frameworks and libraries., • Build and manage server-side application logic and integration with databases and APIs., • Collaborate with UI/UX designers to implement responsive and accessible user interfaces., • Write unit, integration, and end-to-end tests to ensure code quality and reliability., • Participate in code reviews, sprint planning, and agile development processes., • Identify and resolve performance bottlenecks and security vulnerabilities., • Document development processes, architecture decisions, and code changes., • Stay updated with emerging technologies and industry trends to recommend improvements. Skills: The required skills enable you to build robust and scalable web applications by effectively managing both client-side and server-side development tasks. Proficiency in front-end frameworks allows you to create dynamic and responsive user interfaces that enhance user engagement. Back-end development skills ensure you can design and implement efficient server logic and database interactions to support application functionality. Familiarity with version control and testing frameworks helps maintain code quality and facilitates collaboration within the development team. Preferred skills such as cloud platform experience and containerization empower you to deploy and manage applications in modern infrastructure environments, improving scalability and reliability.

Job Description CoreWeave 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 www.coreweave.com. About the Role: Reporting to the Senior Engineering Manager for ML Workflows, this Senior Software Engineer will own the architecture and evolution of core systems in the Weights & Biases platform. ML Workflows owns what customers use to move models and data through W&B. Artifacts is the versioned data layer that every object logged to W&B runs through. Registry sits on top of it as the organization-wide source of truth for what is production-ready, and it is used by teams at Pinterest, Dropbox, and Canva. Automations is the event and action layer the rest of the platform builds on. Launch is execution infrastructure that runs customer ML and agent workloads. You will own systems end to end, from design through production reliability, working across the W&B backend, the Python SDK, and the frontend. You will partner closely with product managers, designers, and ML platform engineers, and you will talk directly to enterprise ML teams about their workflows. We hire senior engineers into the organization and match them to a team based on their strengths and interests, which we discuss with you during the interview process. W&B is part of CoreWeave, so these products are being built onto CoreWeave infrastructure, and there is real room to shape how that happens. What You'll Do • Own the architecture and evolution of a core platform area, designing systems that scale to billions of artifacts and high-volume event and job throughput., • Dive deep into system architecture to find optimization opportunities, solve complex bugs, and make the difficult calls that balance short-term delivery against long-term platform health., • Work across the stack as the problem requires, from Go backend services and GraphQL APIs to the Python SDK and the TypeScript frontend., • Lead migrations and re-architecture of systems carrying live customer traffic, keeping the experience seamless for the customers who depend on them., • Identify and refactor technical debt, improving maintainability and developer productivity., • Establish engineering patterns and best practices that hold up as the platform grows., • Collaborate with product and design to turn complex user requirements into clean technical implementations., • Work directly with customers to understand their ML workflow challenges, and bring that feedback into the product cycle., • Mentor engineers and raise the technical bar across the team. What We're Looking For We expect all of these: • Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial coursework in Engineering., • 8+ years of software engineering experience, including time leading significant technical initiatives or architectural changes, • Strong proficiency in Go, or in another compiled language (C, C++, C#, Rust, Java) with the ability to ramp on Go quickly, • Working proficiency in Python, • Comfort diving into complex systems you did not write, to diagnose and fix difficult bugs across service boundaries, • A track record of mentoring engineers and raising the technical bar around you, • Strong communication, including the ability to explain complex technical decisions to different audiences And real depth in at least one or two of these, which is also how we work out which team you join: • Distributed systems and infrastructure. Designing and operating services in production, containers and Kubernetes, cloud infrastructure, orchestration., • Frontend and full-stack. TypeScript and React, complex state management, frontend performance work, taking a feature all the way through to the UI., • Data at scale. Schema design, query performance, large-scale storage, and analytical stores such as ClickHouse., • APIs and developer surfaces. API design, GraphQL query optimization and data fetching strategies, SDKs and client libraries., • Event-driven systems. Message queues such as Kafka or PubSub, delivery semantics, idempotency, and retries. We do not expect one person to have all of this. Depth in a couple of these areas and the range to work outside them is what we are after. Experience in ML infrastructure, MLOps, or developer tools is a plus. The base pay and target total cash for this position range from $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility) What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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: careers@coreweave.com. 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 We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a BI Engineer II on our Business Intelligence team, you'll sit at the intersection of data, business, and engineering — designing the data systems, models, and AI-powered tooling that scale how ZipRecruiter operates and makes decisions. You'll partner with RevOps, Decision Science, Product, and Engineering teams, working with technologies like Spark, Databricks, and Kubernetes to process billions of records daily. *We are open to leveling for this role based on experience and interview performance Key Focuses: • Architect across business and engineering: Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our product and engineering teams., • Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip., • Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team., • Build and own data models: Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models., • Partner with product engineering: Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines., • Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project. Minimum Qualifications: • 3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an IC level., • Advanced SQL and deep proficiency in data modeling, schema design, and query optimization., • Strong grasp of data warehouse architecture and modern modeling methodologies., • Hands-on experience applying software engineering practices to data work: Git, CI/CD, code review, automated testing, monitoring., • Proficiency with cloud-based data platforms (Redshift, Snowflake, Databricks, BigQuery, or similar)., • Strong communicator who is comfortable working across both business stakeholders and engineering teams. Preferred Qualifications: • Experience building or extending internal AI/LLM-powered tooling for analytics or developer workflows., • Expertise with Spark (PySpark or Scala) and big data environments such as Delta Lake or Data Lake., • Production-level proficiency with dbt and the modern data stack., • Production-grade Python — beyond scripting, into shared libraries, services, or pipelines., • A platform engineering mindset — building tools and abstractions that make others more productive. As part of our team you'll enjoy: • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $110,000-$130,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them. As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap. What you'll do Design and build production software for complex data, ML, and application environments Own system design decisions for deployments, balancing correctness, scalability, performance, and speed Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution Build across the stack, from APIs and data workflows to backend systems and product-facing functionality Own deployments from technical scoping through implementation, rollout, and iteration Turn recurring customer problems into reusable tooling and product capabilities Debug complex production issues across reliability, performance, and data flow Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders Operate with high autonomy and own problems end to end Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows Who we're looking for A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production A versatile product engineer. You’re comfortable working across the stack and moving between hands-on engineering, product thinking, and conversations with the people using what you build Experience requirements 4+ years of software engineering experience with strong CS fundamentals Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows Strong system design judgment and experience making architecture decisions for complex software Strong coding skills in a modern language; Python is a plus Evidence of owning technical problems end to end, from design through production Strong product judgment, technical communication, and stakeholder management Experience working directly with users, customers, or external engineering teams is a plus Bonus: experience in a high-growth startup, developer platform, or ML/data product environment Why Encord Competitive salary, bonus, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London office 4+ days/week Flexible PTO to fully recharge Annual learning & development budget Comprehensive health, dental, and vision coverage Frequent travel opportunities across the U.S., London, and Europe Bi-annual company offsites, daily team lunches, and monthly socials

Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Product Engineering at Nuro spans the teams that build the software our vehicles, operators, and partners depend on every day, from the on-road experience of the fleet itself to the routing engine that decides where it goes. • The On-Road Experience team builds the internal tools and platform systems that Nuro's operations, engineering, and partner teams rely on to manage, monitor, and maintain our autonomous vehicle fleet. This is hands-on product engineering work at the intersection of fleet operations and software infrastructure. The systems you build directly impact user-facing features and how reliably & efficiently Nuro operates vehicles on public roads., • The Routing team builds the critical services that determine the routes our robots take to reach their destinations safely and efficiently, along with the simulation tools that shape the company's strategy for robot deployment and business expansion. The team is constantly working towards computing more efficient routes and providing more accurate ETAs. As a Product Engineer, you'll join one of these teams and help build the products, tools, and services that turn Nuro's autonomy technology into a system people can operate, trust, and rely on. About the Work On-Road Experience • You will design, build, and ship full-stack applications using React, TypeScript, and modern web development practices., • You will develop backend services and APIs that integrate with onboard vehicle systems, cloud infrastructure, and external partner platforms., • You will build tools that enable fleet monitoring, vehicle health tracking, maintenance workflows, and operational decision-making., • You will contribute to frontend architecture decisions, component libraries, and shared platform patterns used across the org. Routing • You will build and scale backend systems for the Routing team, including designing microservices, optimizing routing algorithms, and understanding road network graphs., • You will build software modules written in C++ that operate onboard the vehicle to generate routes, receive live map updates, and interface with motion planning., • You will build monitoring and analytics infrastructure that supports routing performance and ETA accuracy., • You will work on scalable traffic management and simulation tools that shape the company's strategy for robot deployment and business expansion. Both Teams • You will work closely with Product, UX, Operations, and cross-functional stakeholders to define requirements and deliver new user experiences., • You will own features end-to-end: scoping, implementation, testing, deployment, and iteration based on user feedback.About You, • Technical excellence., • You have a strong foundation in software fundamentals: data structures, algorithms, and either web fundamentals (HTML, CSS, browser APIs) or server-side programming (Go, Java, Python, or C++)., • You have experience (through coursework, internships, or personal projects) building applications with React and TypeScript, or building real-time, server-side systems., • You understand how to build and consume RESTful or gRPC APIs., • You are familiar with relational databases (e.g., PostgreSQL) and have some exposure to cloud infrastructure (GCP or AWS)., • You are comfortable working across the stack, and eager to grow into whichever end of it your team needs most., • You have a wide range of technical interests, you love learning new technologies, and you're a quick learner., • You have a passion for making lives easier for the people who rely on your work, whether that's an operator troubleshooting a vehicle or a rider waiting on an accurate ETA., • You have the instinct for making the right tradeoffs. You know when it makes sense to move quick-and-dirty versus build the scalable approach, and you're eager to develop that judgment further., • You care about users. You like working closely with product and design to build the best experience for the people who depend on your work., • You are a great communicator, and you're excited to collaborate with PMs, UX researchers, other engineers, and cross-functional stakeholders on product requirements and designs., • You are impact-driven. You care deeply that your work makes a significant impact on the lives of millions of people.Bonus Points, • Familiarity with real-time data systems: WebSockets, Pub/Sub, streaming pipelines., • Experience with Protocol Buffers and gRPC, or RPC frameworks like Thrift., • Exposure to Kubernetes, CI/CD pipelines, or infrastructure-as-code., • Experience with routing algorithms, map data, or graph data structures., • Background or coursework in the autonomous vehicle, robotics, logistics, or automotive industry., • Experience working with partner or third-party API integrations., • Interest in frontend platform work: design systems, shared component libraries, and developer tooling.Minimum Qualifications, • Bachelor's degree in Computer Science or a related field, completed or in progress (new grad / early-career candidates welcome, no professional experience required). At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $132,300 and $198,450 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Job DescriptionJob Description Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. This position is 100% Remote. Full Stack Engineer Responsibilities: • Build end-to-end product features across frontend, backend, and AI integrations., • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps., • Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions., • Design real-time AI interactions with streaming, partial results, and tight latency constraints., • Improve system reliability, observability, and fallback mechanisms., • Collaborate closely with ML, backend, and product teams to ship features end-to-end., • Continuously iterate based on real usage and failure modes. Full Stack Engineer Outcomes: • Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows., • Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions., • Reduce latency and improve responsiveness of AI interactions while maintaining output quality., • Build robust fallback and recovery mechanisms for LLM and tool failures in production environments., • Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring., • Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems., • Contribute to a product experience where AI feels proactive, consistent, and dependable over time. Qualifications Full Stack Engineer Qualifications: • Strong experience in Full Stack Engineering (Frontend and Backend)., • Artificial Intelligence (AI) experience required., • Solid understanding of system design and API architecture., • Experience working with LLMs, RAG systems, or AI-powered applications., • Ability to handle ambiguity and make pragmatic engineering decisions., • Strong ownership; able to take features from idea to production., • Comfort working in fast-moving environments with evolving requirements., • Tech Stack: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Full Stack Engineer, AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, SQL, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Full Stack Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Full Stack Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.ginastechjobs.com.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more. Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them. As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable. We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all. The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning. The Location: Headquartered in San Francisco, CA. The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at www.multiplylabs.com and follow us on LinkedIn. About the Role As our VP Software Engineering, Robotics & Systems, you will lead Multiply Labs’ growing software and robotics engineering organization during an exciting phase of scaling customer deployments and product evolution. You will report directly to the CEO and play a central leadership role on the executive team. We are looking for a collaborative technical leader to drive the strategic growth of our software engineering organization. You will manage the leads of our Robotics and Systems software teams, helping to scale our organization and professionalize our engineering practices while preserving the collaborative culture that makes our team unique. You are someone who can balance the strategic need for industry-standard processes with the startup need for speed and execution. Requirements: Engineering Excellence & Standards • Lead Technical Evolution: Build upon our existing software architecture across Robotics (motion planning, kinematics) and Platform (cloud, scheduling, distributed systems). You will translate ambiguity into clear technical plans and scope minimum viable solutions, ensuring the stack remains robust and maintainable as system complexity increases., • Innovation Transfer: Partner with our R&D Software team to transition frontier robotic advancements into commercial production. You will bridge the gap between research and production, ensuring that experimental features are rigorously integrated and stabilized before they reach our deployed clusters., • Standards & Excellence: Evaluate our current Software Development Lifecycle and provide strategic feedback to close process gaps. You will guide the team in adopting and refining industry standards for code reviews, release management, versioning strategies, and technical documentation., • Reliability & Testing Strategy: Champion a strategy for mission-critical reliability. You will oversee the maturation of our testing frameworks—building on our existing simulation and integration tests—and guide the strategic ramp-up of Hardware-in-the-Loop (HIL) testing.Requirements: Strategic Leadership & Product Partnership, • Product Alignment: Work alongside Hardware, Product, and Biology leadership to ensure software roadmaps align with physical constraints. You will help translate complex biological protocols and physical constraints into realistic software roadmaps., • Customer Focus & Technical Strategy: Occasionally meet with customers to understand their needs and ensure our engineering efforts are solving the right problems. You will use this context to define the strategy for balancing new feature delivery with the reduction of technical debt, ensuring sustainable velocity.Requirements: Team Growth & Culture, • Scale the Organization: You will prepare the engineering team for a critical phase of growth—moving from a single Process Development (PD) unit to a fleet operating in both PD and regulated GMP environments. You understand the operational rigor required to support commercial GMP systems without stifling the agility needed for ongoing development., • Mentorship & Career Guidance: You will take an active role in the professional development of your team. You will provide coaching, define clear career pathways, and ensure that engineers have the mentorship they need to evolve into technical leaders and effective managers., • Team Culture & Values: Champion our existing culture of positivity and collaboration, ensuring these values persist as the organization scales. You will foster an environment of high trust and personal ownership, where intellectual honesty is valued over ego.Qualifications, • 15+ years of software engineering experience, with a demonstrated track record of building and maintaining complex, high-reliability integrated software systems., • Proven Scale: Track record of scaling engineering organizations beyond 20–50+ engineers. You have the strategic foresight to plan for future organizational needs and the experience to manage managers effectively, ensuring the leadership structure remains strong as the team grows., • Strong Technical Background: While this is a leadership position, we expect you to have a strong software engineering background. You have the ability to guide the team effectively and, at times, ship features or dive deep into design and implementation details., • Regulated Industry Experience: Direct experience working in GMP environments or delivering software for regulated applications, such as life sciences/biopharma, aerospace, or defense., • Hybrid Domain Experience: You have successfully bridged the gap between Enterprise Software (Cloud, SaaS) and Physical/Robotics Systems, and you have experience working in or managing multiple parts of the stack (SW, HW, Robotics)., • Technical Fluency: Familiarity with modern AI/ML landscapes (vision-language models, developer tools) and an understanding of how to leverage them in a robotics context., • Product Intuition: Strong ability to create clarity in ambiguity. You care whether what we ship really works for the user, and have a history of collaborating successfully with external customers or partners.Who You Are (Cultural Fit), • Intellectual Agility: You are a fast learner who adapts quickly when priorities shift. You actively collaborate with other teams to learn new constraints—asking questions and seeking explanations to ensure you fully understand the context behind complex requirements., • Intrinsic Drive: You are a self-starter who identifies gaps and fills them without waiting for direction. You are personally motivated to constantly elevate our technical systems and team practices, ensuring the organization gets stronger every day., • System-Level Collaboration: You understand that our robotic clusters are highly integrated systems. You have a naturally collaborative nature that enables you to work closely with hardware and biology teams to ensure the entire system functions as a cohesive unit., • Data-Driven Alignment: You anchor your decisions in data and technical truth. You actively solicit feedback and diverse perspectives, using a steady and constructive approach to unite the team around complex technical decisions., • Commitment to Impact: You measure success by the reliability of the system and the safety of the patients it serves. You take full responsibility for your team's deliverables, driven by the knowledge that solving our customers' problems ultimately makes people's lives better.Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $250,000 - $320,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team., • Great people, meaningful work, and a team that genuinely believes in what we're building. Come build the world’s best robots—and help make life-saving therapies accessible to all. Travel, • While our headquarters is located in San Francisco, CA, this position will require up to 5-10% domestic and international travel. Multiply Labs is an early-stage startup where equity is a major part of the compensation package. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.