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Job Description A note about our job descriptions. We’ve written tons of JDs in our careers and wanted to try something new. We believe that everyone on the team deserves to have a great relationship with their manager from day 1. Our hiring managers write their job posts, choose their words intentionally, and use this as an opportunity to open up a dialogue. About Fiveonefour We love data and analytics. And we love building software. But in our experience, to do anything truly interesting at scale with data/analytics, you have to leave the warm cozy world of software development, and enter the specialized workflows, tools, and technologies of the data engineering ecosystem. No more. We’re on a mission to democratize data and bring incredible software developer experiences to the data & analytics stack. In the future we’re building, ANY software developer (human or agentic) can build world class data-driven experiences – quickly and intuitively, as a native part of their core software development experience. We’re experienced founders with a track record of success in developer tooling and enterprise software. We have a remote-first team of 15+, backed by incredible investors, and we’re building a high-performance culture that's demanding but flexible. We’re still small, but growing quickly, and joining at this time gives you a tremendous opportunity to help shape the culture and long term future of the company. The role At the very core of our product and our company is one thing: developer experience. This role sits right at that core. You are a designer at heart. You have exceptional taste, a sharp visual sensibility, and a deep conviction that the details are where great products are actually made. You sweat the interaction, the hierarchy, the spacing, the moment of delight that most people never consciously notice, but would immediately feel the absence of. You also happen to know how to build what you design, and that makes you dangerous in the best possible way. You can accelerate our product team with both (1) your ability to actually ship code, and (2) your deep empathy for developers, and hard-earned opinions about what great DX actually feels like. As our first Design Engineer, you’ll report to the Co-founder/CPO (that's me

The Position Senior Principal Engineer, Research & Early Development/Research & Early Development Enterprise Architect The Organization A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organization, the Data and Digital Catalyst organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. The Opportunity The Research & Early Development Architect is a well-established, highly capable and credible architect who will contribute to and drive the implementation of a modern enterprise architecture strategy across Research and Early Development to build a modern, cohesive, scalable, and flexible technology stack that supports the ecosystem of platforms and systems as well as enabling seamless data flow and integration. In this role you will be the key architectural driver responsible for translating our long-term vision into pragmatic execution, enabling critical scientific use cases today while building the foundation for the next generation of automation, AI-enabled biology and drug discovery. You will contribute to the development of architecture principles and frameworks that underpin the delivery of seamless digital journeys and modern corporate capabilities. You will leverage your understanding of Pharma Research & Early Development to shape and guide how our core systems and platforms are built to power scalable research infrastructure, ensure operability, and enable cutting edge computational capabilities. The role balances scientific-centric design with robust enterprise integration, data privacy, and regulatory compliance. We strive to transform our digital landscape in order to advance the delivery of more innovative and transformative medicines for patients worldwide. In this role, you will partner with scientists and engineers to shape transformation programmes, digital service enhancements, and continuous improvement initiatives. You will support enterprise-wide architecture governance and decision making. You will make pivotal contributions to the future of the CoE and Research and Early Development by: • Contributing to the definition and building of a modern enterprise architecture vision with standards, governance, and reusable design patterns., • Driving the adoption of modern architectural principles and reference architectures that facilitate integration, automation, and AI/ML enablement across the organization., • Evaluating and embedding cutting-edge technologies and forward-thinking architectural strategies to support future research and early development needs., • Leading the transformation of bespoke legacy systems and complex tech stacks into modern, modular, and service-oriented ecosystems., • Establishing best practices for compliance, data security, and privacy, while fostering a culture of collaboration with partners across Roche Informatics, gRED, and pRED., • Driving the architecture for large-scale strategic initiatives and application development projects to facilitate the effective acquisition, processing, and sharing of scientific information. Who you are We are looking for a leader with the following qualifications and experience: • You hold a BSc degree (MS or PhD preferred) in a scientific or technical field with 8+ years of experience (Senior Principal Engineer, Research & Early Development); BSc degree (MS or PhD preferred) with 10-12+ years of experience (Research & Early Development Enterprise Architect), • Experience as a matrix leader is a plus., • You have proven experience in enterprise and solution architecture, including translating strategic vision into actionable solution designs and implementation blueprints in large, complex, regulated organizations, ideally in the healthcare or biotech domain., • You possess strong knowledge in enterprise systems, data, and information architectures across cloud, hybrid, and on-premise environments., • Familiarity with AWS is a plus., • You have a strong understanding of modern digital technologies, including microservices, event-driven systems, AI/ML platforms, and modern DevSecOps practices., • You have an understanding of how data is generated, processed, and leveraged to inform scientific decisions in Pharma Research & Early Development., • You have demonstrated experience in mentoring, influencing, and guiding technical peers and collaborating effectively with multidisciplinary teams., • You have a proven ability to design and drive the delivery of complex computational projects, ensuring efficiency, scalability, and reproducibility., • You are a strong communicator with the ability to clearly document and present architectural designs and options to technical teams and business stakeholders. This position requires onsite work 3 days per week. The expected salary range for this position based on the primary location of South San Francisco, California is $189,300-351,500 (Senior Principal Engineer, Research & Early Development) and $217,400-403,700 (Research & Early Development Enterprise Architect). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this posting. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form ___.

About American Turbines The power grid was built for a world that no longer exists. Centralized generation, hundred-mile transmission lines, decade-long permitting cycles. Meanwhile, demand is exploding: AI data centers, industrial electrification, remote operations that need megawatts yesterday and can't wait for utilities to catch up. American Turbines is designing small modular gas turbines, purpose-built for distributed power generation. Machines designed from a blank sheet to be manufactured at scale, clustered in arrays, and dispatched in minutes. Hundreds of units operating in parallel, dynamically matching load like a compute cluster matches demand. We are a seed-stage company backed by the investors behind SpaceX, Boom Supersonic, and Hadrian. About the Role The Additive Manufacturing Engineer at American Turbines will own our EOS M 290 DMLS printer and every part that comes off of it. Print parameters, powder management, build planning, post-processing workflow. You are the person who turns CAD into metal. You will develop and qualify print parameters primarily for IN718 & HastX. You will print the compressor wheels, turbine wheels, combustor, and structural casings that make up our turbines. You will own the entire LPBF workflow from powder receipt through HIP, heat treatment, and NDI. This is not a research role. We have a printer, we have powder, and we need parts on the test stand. You will be printing hardware within your first month. You will also interface directly with external service bureaus for parts that exceed our in-house build volume or require alternative alloys. What We're Looking For • Hands-on experience operating an EOS M 290 or equivalent LPBF system (SLM 280, Renishaw AM400, Trumpf TruPrint) in a production or prototype environment., • Demonstrated experience with IN718 print parameter development: scan strategies, support removal, density optimization., • Knowledge of post-processing workflow: stress relief, wire EDM removal, HIP, heat treatment, CNC finishing., • Experience with NDI methods for AM parts: X-ray CT, fluorescent penetrant inspection, CMM dimensional verification., • Understanding of powder metallurgy: particle size distribution, recycling limits, cross-contamination prevention, safe handling of reactive alloys. • Ability to design support structures and orient parts for optimal build quality and minimal post-processing. Bonus Points • Experience printing Hastelloy X or other high-temperature nickel superalloys., • Familiarity with EOS systems or similar large-format metal AM systems., • Prior work in aerospace or gas turbine component manufacturing., • Materials testing experience: tensile, creep-rupture, fatigue at elevated temperatures. Compensation $115,000 - $145,000 base.

Manufacturing Engineer 📍 Bay Area, CA (On-site: Richmond, CA) 🕒 Full-Time 🏢 Confidential | Drug Testing Industry (Stealth Mode) Peoplework LLC is looking for a highly motivated Manufacturing Engineer to join our client’s team! The primary role will be to lead the daily operations and logistics to manufacture and distribute products for customers. This includes manufacturing production, movement of materials, and oversight of inbound and outbound inventory. The Manufacturing Engineer will partner with Quality and Engineering teams to manage multisite internal manufacturing lines, including line bring up, as well as line transfer to external contract manufacturers as production demands increase. This role is ideal for someone who has a technical background, can establish, and communicate a vision and enjoys being “hands on”. This position reports to the SVP of Operations. What You’ll Be Responsible For · Own setup and qualification of internal manufacturing launch line. · Lead internal manufacturing including daily build schedules and operator oversight to achieve production output targets. · Manage daily and long-term customer order fulfillment, multi-site production planning, and inventory oversight. · Define production cycle times, output requirements, and to ensure timely and cost-effective delivery of all inbound raw materials utilized in the manufacturing process and all customer products. · Leverages lean skillset to manage manufacturing efficiency and quality through increased resource productivity, decreased process cycle times, and scrap reduction. · Responsible for product quality and exceeding customer quality and delivery expectations. · Assist troubleshooting activities related to product assembly, testing and service issues, including root cause analysis, to achieve a timely resolution. · Collaborate with key stakeholders to ensure on time and in budget delivery of production milestones and quality support activities and investigations. · Writes and reviews relevant manufacturing documentation such as Product specifications (SPCs), Manufacturing instructions (MPIs), Device History Records (DHRs), and other GMP documents. · Deliver status reports, metrics and updates that provide visibility on production goals and outputs. · Leads the team in staff training, maintenance and upkeep of manufacturing procedures and policies. · Assist in hiring process and creation of relevant job descriptions. · Provides guidance in make/buy decisions based on quality, schedule, and cost. Experience · Bachelor’s degree in engineering field, or a related discipline. · Alternative: Associate degree, trade school, military technical training, or equivalent experience · 3+ years relevant experience in manufacturing operations, including direct experience a regulated environment: Medical Device, Pharmaceutical, etc. · Experience with manufacturing line start up and process qualifications. · 1+ years of supervisory experience leading diverse teams in manufacturing operations. · Demonstrated excellence achieving process improvements and associated operating efficiencies. · Knowledge of GMP manufacturing principles and documentation best practices. · Experience working within a structured quality management system. Work Habits · Provides open environment and promotes collaborative teamwork. · Works independently and as part of an interdisciplinary team to achieve project goals and timelines as required. · Strong verbal, written communication skills. · Communicates efficiently with multiple people both internally and externally and prepare and present information to groups. · Skillset to lead and motivate others in both matrixed and direct-line management environments. Why This Role • Join a confidential, early-stage drug testing company with meaningful impact on assay development and lab operations, • Opportunity to work closely with scientists, engineers, and quality teams Interested? Apply directly or message me to learn more.

About Drafted Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack. Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience. Drafted's Values We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values: • Own the mission. We take agency, act like owners, and see problems through to real outcomes., • Build in the open. We value direct feedback, fast learning, and growth through honest collaboration., • Move with care and speed. We iterate quickly while staying deeply respectful of our teammates., • Seek the why. We challenge assumptions, think from first principles, and never stop asking questions., • Design for everyone. We believe anyone should be able to design and build a home they love., • Solve what matters. We embrace hard problems and create new paths forward when none exist. The Role As a design engineer, you’ll contribute meaningfully to the end-to-end experience, from prompting and ideation workflows to the tools users rely on to iterate, edit, and visualize their designs. Our product blends exceptional product craft with deep technical work, so you’ll collaborate closely with design, engineering, and research. Example Projects • Design, implement, & iterate on editing generated plans using our existing machine learning model capabilities., • Design, implement, and iterate on how users guide the output home design with new model controls (i.e. multi-floor, exterior design, etc)., • Design, implement, and iterate on the existing user interface to reduce friction and increase the number of users creating a home they love. Desired Skillset • 5+ years experience coding, • ⁠Experience with making high quality, detailed, and maximally implementable Figma designs, • ⁠⁠Experience writing Next.js + Tailwind front ends, • Experience with Typescript backend code using standard relational databases Salary Range • $150k - $200k + 1-2% equity

About Edge Cognara Edge is a managed global talent platform with thousands of professionals placed. Edge Cognara is our AI intelligence division — connecting frontier AI labs and enterprise AI teams with rigorously vetted domain experts for RLHF, post-training, model evaluations, and RL environments. We are competing in the AI training market with infrastructure most platforms are still trying to build. Led by our CTO (PhD in AI and ML) Why This Role, Why Now The AI training and human intelligence market is moving fast. The platforms that define it over the next five years are being built right now — and the people who benefit most are those who get in before the valuation is set, before the seed round is priced, before the story is already written. Edge has spent years building the infrastructure this market needs: employed talent, campus-based operations, HIPAA compliance, and a managed model proven in regulated industries. Edge Cognara is that infrastructure pointed directly at frontier AI development. We are not starting from zero. Why Cognara Wins Most platforms in this space run contractor networks. Cognara deploys employed, campus-based professionals with fully managed infrastructure. As AI labs face increasing compliance requirements, data provenance scrutiny, and churn from gig-based talent — and they will — we are the only platform already built for that world. Three structural advantages we bring to every deal: • Employed talent, not contractors — consistency, accountability, and zero churn risk for the buyer, • Campus-based, HIPAA-compliant operations — secure, equipped, and managed from day one About The Role You will be the first dedicated seller on Edge Cognara. You'll build the playbook from scratch and own the full sales motion — in exchange for a title, compensation, and equity stake that no equivalent role at a scaled company offers. You'll report directly to the CEO. What you'll own: • Full sales cycle — first outreach to signed contract — for AI labs and enterprise AI buyers, • Pipeline targeting Tier 1 and Tier 2 AI labs and Fortune 500 enterprise AI teams running RLHF, evals, and agent training programs, • Direct partnership with the CEO on ICP definition, pricing, and go-to-market positioning — your read on the market shapes our decisions, • Relationships with investors, VC associates, and researchers who influence buying decisions at frontier labs, • Representation at AI conferences, research summits, and industry events, • The sales playbook — documented, tested, and ready for the next hire What you'll need: • 5+ years in enterprise or strategic sales; at least 2 years selling directly into AI labs, research organizations, or AI infrastructure buyers, • Existing relationships at priority accounts — AI labs, frontier model teams, or enterprise AI organizations actively running post-training or evals programs, • Track record of closing 6-figure+ contracts in a technical or emerging product category, • Enough fluency in AI/ML to hold credibility in the room: RLHF, post-training, model evaluation, reinforcement learning — you don't need to be an engineer, but you need to keep the room's respect, • A bias toward hunting and building, not maintaining existing accounts What makes you stand out: • Warm contacts at two or more priority AI lab or enterprise AI accounts right now, • Experience as a first or second seller at a startup — you've seen what zero-to-one actually requires, • A network among AI researchers, ML engineers, or technical buyers that is active and trusts your judgment, • You've chosen early-stage before because the upside felt more real than the safety of scale Why Edge At Edge, you will have the opportunity to own a core growth channel and directly impact company revenue. You will join a fast-growing organization building a new model for global workforce infrastructure while working with a team that values experimentation, speed, and measurable outcomes. At Edge you will: • Own and scale a high-impact marketing function, • Work in an AI-forward environment that actively invests in modern tools and workflows, • Contribute to a company helping healthcare organizations operate more efficiently and grow sustainably, • Be part of a high-performance, growth-oriented team

ABOUT RANGER AI Ranger AI is the leading AI platform purpose-built for Industrial Engineering, and Manufacturing clients. Our core mission is to help clients win and deliver more. While bidding and proposals are our primary focus, our platform also transforms procurement, risk management, and other complex workflows that require nuance, engineering rigor, and sector-specific expertise. Ranger's AI orchestration layer goes far beyond generic AI, delivering domain-aware intelligence that understands the language, standards, and stakes of industrial work. Trusted by some of the largest industrial companies in the world, Ranger is backed by Bonfire Ventures, 25Madison, and Inovia, and is scaling across North America, Europe, and MENA with offices in the USA, Canada, and UAE. ABOUT YOU You come from industry. You’ve spent years inside oil & gas, pharma, chemical manufacturing, EPC, or a similarly complex industrial environment. You understand the workflows, the stakeholders, and the pace of these organizations because you’ve lived in them. You’re also a builder and a systems thinker. You’ve either deployed enterprise software into industrial environments or you’ve been the person on the client side making it work. You take personal ownership of outcomes, and you’re always looking for ways to create efficiency and improve how things operate. THE ROLE We are hiring a Technical Account Manager to own the post-sale client experience across North America. You are the person who ensures that every Ranger deployment delivers measurable, lasting value and that every client becomes a long-term partner. You are embedded from evaluation through go-live and beyond. From day one, you join active evaluations alongside the AE as the project coordinator, building client context, managing timelines, and ensuring evaluations run smoothly. When the deal closes, there is no handoff. You already own the relationship, the onboarding plan, and the weekly cadence. You ensure Ranger is embedded into daily operations, not sitting on a shelf. You are not managing deployments from a distance. Every person at Ranger is expected to be the best end user of the product. You pressure-test use cases, validate AI outputs, and build deep platform fluency so you can train clients with credibility and catch issues before they do. You will start with a focused book of early enterprise accounts and grow alongside Ranger’s expansion, supported by AI-native workflows that make scale possible without sacrificing depth. THE ACCOUNT POD • Account Executive - owns the account, the commercial relationship, and the close, • Forward Deployed Engineer - owns implementation, integration, and technical delivery, • Technical Account Manager (this role) - owns post-sale success, onboarding, adoption, and account health This is a hybrid role with 20-25% travel to client sites across North America. SUCCESS CRITERIA • Successful client onboarding and time-to-value within 90 days, • Client adoption depth - Ranger is embedded in daily workflows, not shelfware, • Expansion readiness - you identify when accounts are ready for the next phase and surface new opportunities to the AE, • Contract renewal and long-term client retention WHAT YOU WILL DO • Project-manage client onboarding - Own the onboarding plan, timeline, and weekly cadence. Run progress check-ins, coordinate with the FDE on technical build, and ensure clients are using Ranger on real workflows within 90 days., • Train and enable client teams - Lead training sessions, walk clients through the platform, and build their confidence using Ranger independently. You teach from experience because you’ve pressure-tested everything yourself first., • Ensure quality before go-live - Validate AI outputs against client data, test edge cases, and make the call on whether a deployment is ready to show the client. You protect client trust and Ranger’s reputation., • Own the business relationship post-sale - You are the primary point of contact for the client after the deal closes. Weekly check-ins, customer feedback, unblocking issues, and ensuring effective use of everyone’s time., • Enable account expansion - As the person closest to the client’s day-to-day usage, you see where Ranger can deliver more value. The AE will have already scoped the expansion path; you identify when those opportunities are ready and surface new ones that arise., • Keep the system of record current - Update the CRM, Confluence, and internal Slack channels so the entire team has visibility into account status, client feedback, and progress against milestones., • Be the voice of the client - Translate real-world feedback into actionable insights for our product and engineering teams. You are the link between what clients experience and what we build next., • Build and improve the playbook - You are not just running onboardings, you are building the repeatable playbook for how Ranger onboards and manages clients. Identify inefficiencies, propose solutions, and iterate on the process continuously. WHAT YOU BRING • 3+ years in industrial or engineering sectors - Oil & gas, pharma, chemical manufacturing, EPC/contracting, utilities, or related industries. You understand these workflows because you’ve lived in them., • Bidding & proposals knowledge - Deep understanding of commercial workflows, RFP/RFQ processes, tendering, and what it takes to win work. You know what your clients are doing with the platform because you’ve done it yourself., • Change management or digital transformation experience - You have led or been deeply involved in transitioning teams from legacy workflows to new systems. You understand the human side of technology adoption and know how to drive it., • LLM and AI fluency - You are already using AI tools daily for your own work: Claude, ChatGPT, Copilot, Perplexity, Gemini, or similar. You understand how LLMs and AI platforms create business value, and you can teach others to work this way. We want to see how you think about AI, not which tool you use., • Systems thinker - You are always looking for ways to create efficiency, improve processes, and build repeatable systems. You don’t just execute the playbook; you improve it., • Client relationship strength - Proven ability to build trust, manage executive stakeholders, and develop long-term partnerships with enterprise clients., • Detail-driven mindset - Exceptional QA instincts and problem-solving abilities. You catch what others miss and take pride in protecting the client experience., • SaaS adaptability - Working knowledge of SaaS environments and how they integrate into enterprise client workflows. STRONG PREFERENCES • Experience deploying AI or enterprise SaaS into industrial environments, • Background in AI orchestration, workflow automation, or document intelligence platforms, • Familiarity with North American procurement structures and commercial RFP/RFQ processes, • Understanding of enterprise compliance and security frameworks (SOC 2, ISO 27001) WHY RANGER This role is designed to evolve into a leadership position as Ranger scales across North America. You will define the post-sale playbook, build the team, and have increasing decision-making authority as you build context and credibility. Ranger is past the idea stage and into the execution stage. We have live enterprise accounts, a platform that works, and a market that is ready. What we need is the person who makes sure every client that signs with Ranger stays with Ranger. If that is you, we should talk. COMPENSATION & DETAILS • Base salary: $90,000 - $110,000 + variable compensation tied to renewal and expansion performance, • Meaningful early-stage equity participation, • Hybrid with 20-25% travel depending on client needs, • Reports to Head of GTM

NetSuite Software Engineer Location: Bay Area, CA (Hybrid/Onsite as applicable) About the Role: We’re looking for a NetSuite Software Engineer with a strong software engineering foundation to help scale and extend our ERP platform. NetSuite has been live for several years and is deeply embedded in our business operations, this role will focus on building robust, maintainable, and scalable solutions that go beyond basic configuration. You’ll operate as an engineer first, applying best practices in architecture, coding, testing, and deployment, working closely with business systems and cross-functional teams. What You’ll Do: • Build Scalable Solutions in NetSuiteDevelop high-quality, modular code using SuiteScript (2.x), • Architect and implement complex business logic across financials, order management, and operational workflows, • Refactor and improve legacy scripts for performance, maintainability, and scalability, • Own Integrations & APIsDesign and develop integrations between NetSuite and internal/external systems (e.g., product platforms, data warehouses, CRM), • Build and maintain RESTlets, SuiteTalk integrations, and middleware-based connections, • Ensure reliability, observability, and performance of data pipelines, • Apply Software Engineering Best PracticesUse version control (Git), code reviews, and CI/CD pipelines to manage deployments, • Write clean, testable code with proper error handling and logging, • Contribute to architectural decisions and technical standards, • Partner Across TeamsCollaborate with Product, Engineering, Finance, and Business Systems teams, • Translate product and business requirements into scalable technical designs, • Participate in sprint planning, estimation, and delivery, • Support a Mature NetSuite EnvironmentEnhance and evolve a multi-year NetSuite implementation with a focus on long-term sustainability, • Balance technical debt reduction with new feature development

About Finta Have you tried renewing a driver’s license online? The site looks stuck in 2000, it is confusing and slow. That is how most accounting and tax software still feels. The space is crowded with sales teams who rely on fear to close deals, and the result is bad experiences justified by “compliance.” Finta is changing that. We automate bookkeeping, file taxes quickly and compliantly, and give companies real-time financial metrics. Our goal is simple: to remove the manual, tedious parts of finance so that smart people can focus on hard problems. We raised $2M from Y Combinator, Mercury’s CEO, leaders at Mercury, Brex, and Ramp. Since launching in 2023, we have grown organically through word of mouth and now serve hundreds of paying customers. See what they say at . Role We’re looking for a Founding Design Engineer to raise the bar on how Finta looks and feels. You’ll sit at the intersection of design and engineering, someone who obsesses over animation curves, spacing, and interaction details, and also ships production code. You won’t be designing in Figma and handing off specs. You’ll be designing in the browser, building the components and systems that make Finta feel like the best software our customers have ever used. This is a founding role. You’ll be one of the first people shaping how Finta feels, and you’ll have an outsized impact on the product, the brand, and the culture of craft at the company. Over time, you’ll have the opportunity to build and lead the design engineering function as we grow. What you’ll do • Build and evolve Finta’s design system: the components, tokens, patterns, and motion language that everything is built on, • Ship polished, production-ready UI across product, marketing, and our website, • Create reusable building blocks like data tables, filters, navigation, loading states, animations, and interactive patterns, • Bring modern interaction design to a Rails codebase with fluid transitions, micro-interactions, and the kind of craft you see in tools like Linear, Cursor, and Vercel, • Explore what’s possible at the edge of UI in the age of AI: streaming interfaces, agent status patterns, real-time feedback, and new interaction paradigms, • Work directly with the CEO and engineering team to shape what we build and how it feels, • Set the quality bar for every pixel that ships, • Influence product direction, not just execution. You’ll have a voice in what we build, not just how it looks. You’ll be a good fit if you • Have deep expertise in HTML, CSS, and JavaScript. You think in the browser, not in abstractions., • Have production experience with server-rendered stacks: Rails, Hotwire, Turbo, Stimulus, Tailwind, ViewComponent, or similar, • Obsess over details like animation timing, easing curves, hover states, spacing, and color. The things most people don’t notice but everyone feels., • Use AI tools daily to move faster (Cursor, Claude, Conductor, or similar) and can show real examples of shipping with them, • Have a strong visual eye and design sensibility, even if your title has always been “engineer”, • Can point to work you’ve shipped that made people say “damn, this feels good”, • Ship fast and iterate. You’d rather put something real in front of users than polish a mockup., • Are excited about being early. You want to define the standard, not follow one. Why join • Design is at the heart of everything we do. This isn’t a company where engineering overrules design., • You’ll define the design system and quality bar from the ground up, • Ship consequential work used by hundreds of startups, • Join a small, mission-driven team that values craft and user experience, • 10+ years of runway backed by top investors, • Real ownership and influence over product direction, architecture, and early hiring decisions You should NOT join Finta if: • You prefer designing in Figma and handing off to engineers, • You think animations and micro-interactions are unnecessary polish, • You think trying new tools like Paper is a waste of your time, • You prefer non-AI tools and stay away from MCPs, • You prefer heavy structure and narrow scope, • You’re not excited about AI or what it means for product interfaces, • You need step-by-step direction, • You’re looking for a remote job to coast Tools and stack • Ruby on Rails with server-rendered views, • Hotwire (Turbo + Stimulus) for interactivity, • Tailwind CSS and ViewComponent for the design system, • GitHub, Linear, Figma, Paper, Slack, • AI tools: Cursor, Claude, Conductor, and whatever you want to use Our values • Simplicity: Be concise, clear, and efficient, • Endurance: Act with integrity and think long term, • Decisive: Bias for action and learn quickly, • Passion: Bring dedication and energy to the work, • Open minded: Hold strong opinions and question them rigorously, • Selfless: Set egos aside and win as a team Compensation • $120-$180k plus 1-3% equity, • Visa sponsorship and relocation support available., • Medical, dental, and vision insurance, • Meals, gym membership, professional education benefits, • Monthly team events and annual company offsite ⚠︎ IMPORTANT In addition to applying, please email andy at finta dot com with your proudest designs.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You'll fully own the vision, strategy and execution for Pinterest's paid growth channels, driving efficient and scalable user acquisition. Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You'll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before. What you'll do: • Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels., • Drive clarity, alignment, and prioritization across a broad crossfunctional team in an ambiguous, complex product area with substantial impact on topline growth. Influence senior stakeholders and contribute to long-term strategy for acquisition., • Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing., • Leverage strong analytical skills to dig into data, identify the highestimpact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions. What we're looking for: • Demonstrated success in product management at fast-growing companies., • Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team., • Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement)., • Strong analytical skills to define product strategy and drive decision making., • Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication., • Prior experience with machine learning, recommendation systems, or generative AI a plus., • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-REX At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 7+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

< Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to___and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to ___, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products. As a Staff Machine Learning Engineer within Enterprise AI Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications. Your solutions will cater to the dynamic needs of Twilio's diverse verticals and our extensive customer base. This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency. As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers. You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are. Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel. Responsibilities In this role, you'll: • Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base., • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes., • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions., • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy. Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • 5+ years of applied ML engineering experience, • Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base., • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes., • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions., • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy., • Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama etc.), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering., • Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc. This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: • Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $188,240 - $235,300., • Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $199,280 - $249,100., • Based in the San Francisco Bay area, California: $221,360- $276,700. Application deadline information Applications for this role are intended to be accepted until April 30th, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call ___. Additionally, we empower employees to build ___ by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, ___ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

< Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to___and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to ___, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio's Android Engineer for Identity & Security Products, where you'll shape the future of our authentication, verification, and identity applications that protect millions of users globally. About the job As an Android engineer on the Twilio Identity and Security team, you will play a significant role in designing and building our Identity solution which is in its early stages of development. You will be responsible for the end-to-end development cycle, taking ideas from concept to delivery while ensuring our offerings are innovative, robust, and secure. We're investing in exceptional technical talent like you to accelerate innovation and drive meaningful customer impact in an increasingly complex security landscape. We're seeking a senior Android engineer who will work closely with their team and collaborate with Product Managers and teams developing our Identity and Security APIs, while also making a broader impact across the organization. We're looking for someone who thrives both as a team player and when working independently, and who is eager to take on new challenges beyond their comfort zone. You will excel in this role if you enjoy solving complex technical challenges, have a strong interest in advancing solutions within the identity and security domain and are passionate about building high-performing, secure applications. Responsibilities In this role, you'll: • Drive technical excellence by designing, implementing, and optimizing highly scalable distributed applications that power Twilio's Identity and Security products, • Collaborate with cross-functional teams including product, design, and infrastructure to deliver customer-focused solutions., • Improve the reliability, scalability, and efficiency of Twilio's Identity and Security's systems., • Drive best practices in software engineering, including code reviews, testing, and deployment processes., • Develop for other developers: As part of our Identity and Security team, you will be implementing SDKs and libraries that will be used and loved by developers all over the world., • Contribute to architectural discussions and technical roadmaps, • Drive operational excellence by prioritizing observability, reliability, security and performance in all deliverables. Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • 4+ years of Android professional with experience in writing production level mobile applications and customer facing SDKs, • Fluent in Kotlin, with experience in Java, • Knowledgeable of the Android development ecosystem, frameworks, 3rd party libraries, • Experience in the full mobile development cycle, • Deep understanding of software engineering best practices, including monitoring, observability, and building maintainable systems, • Experience working with AWS cloud-based infrastructure., • Champion of automated build and test pipelines and test-driven development, • Solid verbal and written communication skills: able to communicate effectively with technical and non technical stakeholders, • A healthy ability to manage and resolve conflict - you have the ability to listen, present, and question effectively., • Experience developing for other developers, • CI/CD, Test automation, • iOS development experience, • Experience working in a geographically distributed team. This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: • Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400., • Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600., • Based in the San Francisco Bay area, California: $163,100 - 203,900. Applications for this role are intended to be accepted until March 31, 2026,but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call ___. Additionally, we empower employees to build ___ by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, ___ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services. What you'll do: • Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact., • Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems., • Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale., • Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights, • Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance, • Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability, • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience., • Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption, • Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes, • Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale, • Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies, • Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code, • Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability, • Experience building observability platforms from the ground up or significantly scaling existing solutions, • Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.), • Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy, • Experience with machine learning or anomaly detection applied to observability use cases, • Strong communication skills with ability to influence stakeholders at all levels, • Contributions to open-source observability projects, a plus In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-JT1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Job DescriptionThe Role Clearstory is looking for a high energy and dynamic SDR, with Construction Industry experience, to join our sales team! The Sales Development Representative is tasked with identifying and generating sales opportunities through both inbound and outbound calling and emailing activities. Its a fantastic initial role in sales, developing skills and knowledge that set you on a path to an Account Executive. The right candidate will be one who works well under pressure, thinks out-of-the-box, easily initiates relaxed but informative two-way phone conversations with prospects, and is highly self-motivated. • We are looking for people in the SF Bay Area, New York and Boston, • 2+ years Commercial Construction Industry experience including working on the Change Order Process, as a project engineer, project manager or other relevant role., • Nice to have: 1+ year of B2B cold-calling and CRM experience., • Excellent communication, interpersonal, and organizational skills. You should be a great writer, speaker, and listener., • Fearlessness - willing to hop on the phone with new people every single day and explain the Clearstory value propositions., • The courage to challenge the status quo when logic and reason require it. See something broken? Fix it., • Flexibility - things change around here. FAST., • The intellectual horsepower to become a guide on Clearstory and commercial construction in a matter of weeks, and the curiosity to keep learning about all its intricacies for years to come., • Ambitious and driven to exceed all expectations. This is your chance to join a team that is bringing game-changing technology to a stagnant, static, pen and paper part of the commercial construction industry. This is an earlier stage company and as such you will have many intangible benefits that go along with that opportunity such as the ability to influence the culture of your workplace, the ability to make an immediate impact with a product that already has an established product market fit and a healthy and growing user base as well as significant product influence. Join Our Company We are a first-of-its-kind, category-defining software that is revolutionizing the commercial construction industry. Clearstory is digitizing and automating the change order process inside the commercial construction industry. Regardless of what financial software a construction company uses internally, they can use us to share costs with the companies they work with. This is why our integrations team is so critical to our company’s success! Just as TurboTax did for tax documents and Bill.com did for accounts receivable and accounts payable, Clearstory is doing the same for change order communication between construction companies. The construction industry is being transformed fast by technology, but the way companies communicate costs hasn’t evolved in decades and still heavily relies on carbon copy paper, spreadsheets, and email to track billions of dollars. These arcane manual processes can take days or weeks and include hours of manual office tasks such as scanning, manually transcribing, and tedious data entry into spreadsheets. At Clearstory we are changing that and creating a new category “change order communication,” by intelligently digitizing this age-old process. This leads to an increase in profits, more successful contractor-to-customer relationships, more transparency into a project’s true cost, and less wasted paper! We are a Series B 100% SaaS company with impressive credentials for a company at our stage. The Team You’ll Be Surrounded By In addition to experienced SaaS sales, marketing, engineering, and product leaders, our team has over 60 years of combined experience in the commercial construction space. At Clearstory we know our customer’s pain points and challenges firsthand and have built a category-defining product that serves the user first. You’ll be part of an ambitious and collaborative company, committed to growing a supportive and diverse team that is passionate about empowering our contractor customers. More important than meeting 100% of qualifications, we are looking for collaborative, long-term team members with a growth mindset, a commitment to proactive communication, and a bias towards action, who are aligned and excited with our company’s mission to build the industry standard in digital change order communication for the commercial construction industry. Requirements About You We want you to be a part of the Clearstory success story so as you engage with us and our team members, it would be helpful for you to understand some of the core characteristics of our team - hopefully, many of these resonate with you! • Embody our core values, • Be Curious, • Customer Obsession, • Keep It Simple, • Raise the bar, • Coachable, • Team oriented, • Passion and enthusiasm for your work and the Company, • Loves to take the initiative, • An upbeat, positive, and good-to-be-around attitude., • Sense of humor., • Is a “doer” with a hands-on approach, • Very high energy., • Commitment to excellence., • Operationally focused - thinking about the entire business and not just your role., • Bright, quick, articulate, able to influence without direct authority, excellent presentation and interpersonal skills, and able to adapt to different outside constituencies., • Ability to influence peers, operational managers, and executive team., • People willingly seek out your advice in the planning phase of decisions., • Strong entrepreneurial nature and approach., • You foster trust and accessibility., • Strong prioritization skills., • Aggressive drive with a can-do attitude., • Ability to build relationships and earn the respect of other teams., • Organizational tolerance: able to work with ambiguity and constant change., • Genuine passion for customer service., • Enjoys and has implemented change., • Previous SDR experience, B2B cold-calling and CRM experience., • Ability to work with a new product category that has already found product market fit, • Competitive market-rate compensation for a Series B company, • Subsidized healthcare, vision, and dental

This is a full-time on-site role in San Francisco for a Founding UX Frontend Engineer at Atomus. Primary Duties: As a UX Frontend Engineer at Atomus, you will be responsible for crafting the customer experience from the ground up. You will lead the design and development of intuitive, highly responsive user interfaces for our core products, with the mission to replace manual, high-touch support interactions with seamless, self-serve workflows. You’ll collaborate closely with the Co-Founder and Customer Success teams to deliver a platform that simplifies compliance and security for our customers. • Designing and developing customer-facing frontend applications using modern web technologies (NextJS, TypeScript, Tailwind), • Creating scalable, and highly usable UX for complex compliance and cybersecurity workflows, • Leading the UX strategy and design systems to ensure consistency and quality, • Working with engineers to bring the complex workflows, dashboards, data to life, • Building frameworks and tools that allow our customers to self-serve, reducing the need for direct support, • Translating customer pain points and feedback into intuitive design and product improvements You’ll be laying the foundation for our frontend systems and processes, owning the full lifecycle of user experience and interface development to ensure customer satisfaction and trust. As our business evolves, customers are getting bigger. These bigger customers interact with the platform a lot more, hence requiring a lot more of a cohesive experience and a completion experience with the deep expertise that we have built in this compliance industry, bringing the expertise right into the platform. Our stack includes NextJS, TypeScript, Postgres, Azure, Go, and Electron. While frontend experience is key, we value engineers who can adapt quickly and focus on delivering value. We prioritize rapid, continuous shipping with a strong feedback loop from customers. About You: • You have 2+ years of experience building and designing frontend experiences for SaaS or compliance/security platforms, • Strong proficiency with modern frontend technologies such as NextJS, TypeScript, and component libraries like Tailwind, • A customer-obsessed mindset and ability to deeply understand user needs and translate them into elegant UX, • Experience building highly responsive web applications and collaborating with backend teams, • Strong product sense and a willingness to own UX end-to-end, from discovery to delivery You might be a good addition if you: • Have experience designing complex, self-service workflows that replace manual, high-touch support, • Have experience building dashboards for stakeholders like Co-Founders, Owners, CEO, COO, • Are excited by the opportunity to define and lead the frontend and UX strategy at an early-stage company, • Have previously worked on customer-facing tools in the security, compliance, or infrastructure domains, • Care deeply about aesthetics, usability, and performance in equal measure, • Enjoy ambiguity and are motivated to solve problems holistically, from user interviews to shipped features About Atomus Atomus' mission is to provide world class cybersecurity for the world’s most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Examples of our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many other companies serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first. This role is fully in person, working with the rest of our team in our downtown San Francisco office.

About the Company An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior. About the Role This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it’s for engineers who enjoy building new experimental systems from scratch and working closely with researchers. Responsibilities • Build custom RL-style environments and experimental testbeds for interpretability research, • Develop tools for activation tracing and mechanistic interpretability, • Implement probes to detect latent concepts (e.g., deception, goals, uncertainty), • Prototype activation-level steering methods beyond prompting or fine-tuning, • Collaborate with researchers to rapidly iterate on experiments and tooling Qualifications • Strong programming skills in Python, • Experience with ML frameworks such as PyTorch or JAX, • Experience working with deep learning models or LLMs, • Strong software engineering fundamentals and ability to build experimental ML systems Preferred Skills • Experience in mechanistic interpretability or alignment research, • Familiarity with reinforcement learning environments, • Background working with model internals, representations, or probing methods, • Research experience (PhD preferred but not required) Pay range and compensation package Competitive salary, equity, and benefits.

Job Details • Photoshop C++ Application Developer (Contract), • Location: San Jose, CA 95110 (Hybrid). Open to fully remote candidates., • Duration: 4/06/2026 to 9/04/2026, • Team: Photoshop Engineering The Opportunity; • The Photoshop Applied Research and Technology team is looking for a Photoshop engineer with a passion for technology and building compelling GenAI and AI/ML experiences that delight customers and boost productivity. This individual will work with a very dynamic, customer-focused engineering team, and will be responsible for productizing research ideas. The successful candidate will help define and build “Adobe magic” into digital imaging applications. Key Responsibilities • Deliver polished end-to-end AI/GenAI experiences as a Photoshop C++ developer. Collaborate with researchers, ML engineers, application developers, UI designers, product managers, quality engineers, and customers to integrate advanced AI/ML components into Photoshop., • Develop end-to-end solutions and build front-end user experiences that are performant and responsive, fitting them into the Photoshop document model and overall architecture., • Maintain, evolve and improve existing features in a large, complex codebase., • Participate in formal and informal code and design reviews., • Write unit and automation tests to verify code and product quality., • Take initiative, tackle new challenges, and acquire the necessary knowledge and skills to get the job done. Required Skills & Qualifications • BS or MS in Computer Science or related field, • 3+ years of software development experience with a proven track record of designing, implementing and delivering high quality software, • Solid foundation in computer science fundamentals, software architecture and design patterns, and software engineering best practices, • Proficient in modern C/C++ with extensive large-scale application development experience required. Working knowledge of Python and Javascript preferred., • Skills and passion to build compelling user experiences leveraging well defined UI frameworks required, • Familiarity with digital imaging, computer vision, and experience integrating AI/ML models into production applications preferred, • Proven experience using AI coding assistants and agentic workflows to ship production code—including multi-file refactors, code review, and automation—while maintaining high standards for correctness, performance, security, and test coverage., • Outstanding written and verbal communication skills, • Ability to ramp quickly and deliver independently with minimal supervision, • Passion for creating high quality applications that professionals love. Compensation • $60.00 to $66.90 per hour. 37071252

About Cara Cara is a domain-specific AI platform purpose-built for insurance—a modular system that enables agencies, brokerages, and wholesalers to automate servicing, accelerate sales, and scale operations with a 24/7 digital workforce. We’re one of the fastest-growing AI companies in the insurance industry, attracting agencies and brokerages of all sizes with an expanding customer base. We’re a team of experts in engineering and insurance from Stripe, Blend, Strategy&, and Travelers, with backing from top-tier VCs, and are scaling our product and team quickly to meet market demand. About the Role As a Software Engineer at Cara, you’ll work across the stack to design and build the systems that power our AI platform—from intuitive user interfaces to backend services and AI infrastructure. You’ll develop product features, build tailored solutions for mid-market and enterprise clients, and strengthen our platform to ensure performance, reliability, and security. This is a hands-on role with broad ownership, where you’ll collaborate closely with product, AI, and go-to-market teams to turn complex insurance workflows into simple, automated experiences. You’ll be working directly with the founders and customers to shape the roadmap, product, and technology. What You’ll Do • AI Agents & Workflows: Develop and refine autonomous digital workers that automate insurance workflows end-to-end., • Full-Stack Product Engineering: Ideate, design, implement, and ship new features across the stack—from frontend user interfaces, to backend APIs and services, to critical infrastructure., • Enterprise Solutions: Collaborate directly with customers to design and deliver solutions tailored to their business processes while integrating those features seamlessly into the broader platform., • Platform Development: Strengthen our core systems, including AI and compute infrastructure, asynchronous processing, observability, and operations., • Performance: Measure, optimize, and reinvent production systems to deliver best-in-class speed and performance for AI workflows., • Cross-Functional Collaboration: Research cutting technologies and partner with the go-to-market team to break down customer requirements, prioritize and build product roadmaps, and deliver impactful solutions. What You Have • 3+ years of full-stack software engineering experience—designing and shipping features through the complete product lifecycle., • Proficiency in Golang, Typescript, and React with a strong foundation in computer science and software development., • Proficiency in AI concepts, APIs, workflows, and tools., • Proven ability to learn, adapt, and ship impactful features in a fast-paced environment., • Thrives in ambiguous environments to deliver robust, thoughtful solutions.

Engineering Manager Location: San Francisco (in office) Compensation: Up to 300k (some flex) + equity US Citizen or Green card Holder only We are currently partnered with a YC-backed Fintech that is an AI driven accounts receivable platform that integrates with ERP and accounting systems for Fortune 500 enterprises. Founded by MIT and Harvard alumni who already have a successful exit under their belt. They are in search for a hungry engineer to join their team. Responsibilities • Technical Leadership: Stay hands-on with the codebase to drive architecture, debug critical issues, and set technical direction., • Team Delivery: Lead a team of 5–6 engineers to ensure high-velocity execution and high-quality output., • Talent Development: Hire, mentor, and retain top talent; coach engineers on system design and career growth., • Product Partnership: Collaborate with Product and Design to define roadmaps and manage technical tradeoffs., • Operational Excellence: Establish scalable practices for code reviews, incident response, and performance., • Strategic Execution: Translate ambiguous goals into actionable plans and foster an accountable, low-ego culture. Requirements • Experience: 5+ years in software engineering and 2+ years in engineering management (Series A+ startup experience preferred)., • Education: BS in Computer Science or equivalent., • Execution: Proven track record of shipping products quickly without sacrificing reliability., • People Skills: Strong history of hiring and leveling up engineering teams., • Mindset: Pragmatic product sense, excellent communication, and comfort navigating ambiguity. Why Join Us • High Impact & Ownership: Shape the engineering org, product, and technical direction during a critical growth phase., • Elite Talent: Work within a tight-knit, high-caliber team focused on excellence., • Build from Scratch: Define systems, culture, and processes from first principles., • Career Acceleration: Scale an organization from the ground up rather than just maintaining one., • Top-Tier Rewards: Competitive salary, meaningful equity, and benefits.

Kadence has partnered with a AI x HealthTech company in the Bay Area, looking for a Vice President of Engineering - They are building AI systems that automate complex healthcare workflows at scale, operating in a high-stakes, regulated environment with real-world impact. Location: Bay Area (hybrid, flexible days, primarily in-person) Type: Full-time What You’ll Do • Design and scale cloud-native, distributed systems for high-volume data, • Build reliable data pipelines and support production AI/LLM systems, • Architect secure integrations with external customer systems, • Ensure compliance (HIPAA, SOC 2) across infrastructure and data flows, • Own DevOps, CI/CD, and engineering standards, • Hire and lead a high-performing, execution-focused team Requirements: • Track record scaling production systems, • Experience leading engineering teams, • Strong background in cloud, distributed systems, and data infrastructure, • Familiarity with AI/ML systems in production (LLMs a plus), • Experience in regulated environments is a plus How They Operate We optimize for leverage, not headcount, using automation, strong systems design, and AI-assisted development to maximize output per engineer. Compensation Competitive salary and meaningful equity. Why This Role Matters This is a foundational hire. The systems you build will determine how the company scales.

Who We Are: Aurelius Systems is a VC-backed defense tech startup building autonomous, edge-deployed robotics systems using directed energy for counter-UAS. We build laser weapons to shoot down drones. We're a small team of ~10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. In addition to our San Francisco lab/office, we opened our Detroit manufacturing hub and we field test weekly on our own 400-acre private range. The Role & Your Impact: We need a Laser Engineer who has actually built fiber laser systems. You'll own the laser source from fiber to beam. That means designing, building, and field-testing the high-power fiber laser systems that put energy on target. You'll work across the full optical chain (pump diodes, fiber combiners, gain fibers, beam delivery optics) and make it all survive real-world conditions. This isn't a role where you write papers about pulse dynamics or maintain someone else's laser. You'll splice fiber, align optics, troubleshoot thermal issues in the field, and watch your system destroy a drone. The feedback loop between your bench and the test range is days, not weeks. What You'll Own: • Design and build high-power fiber laser systems from pump architectures, gain stages, and fiber combiners to beam delivery optics, • Perform fusion splicing, fiber preparation, and connector termination for high-power fiber assemblies, • Architect thermal management solutions like heat sinking, active cooling, and thermal modeling to maintain beam quality under sustained operation, • Develop and optimize beam delivery and beam combining systems for maximum power-on-target, • Select and integrate pump diodes, gain fibers (Yb, Er, Tm), fiber Bragg gratings, and passive optical components, • Drive hands-on prototyping, assembly, alignment, and field testing on our range, • Characterize laser performance like output power, beam quality (M²), spectral stability, and thermal behavior under operational conditions, • Perform optical simulations to optimize designs before you build (Zemax, MATLAB, COMSOL, or equivalent), • Design for manufacturability and ruggedization. Our systems must survive transport, vibration, and harsh field environments, • Integrate laser systems with power electronics, perception, and control subsystems, • Generate schematics, BOMs, test procedures, and documentation meeting MIL-STD and ITAR requirements What We're Looking For: • 2–10+ years building fiber laser systems or high-power fiber-based optical systems, • Direct hands-on experience with fusion splicing, fiber preparation, and high-power fiber assembly, • Deep understanding of fiber laser physics, from stimulated emission, nonlinear effects (SBS, SRS), thermal lensing, and how they limit real systems, • Experience selecting and integrating pump diodes, gain fibers, couplers, isolators, and fiber Bragg gratings, • Proficient with optical test equipment (power meters, beam profilers, OSAs, and thermal cameras), • Comfort with optical simulation tools (Zemax, MATLAB, RP Fiber Power, COMSOL, or equivalent), • Familiarity with beam combining approaches (spectral, coherent, or incoherent) is a strong plus Where you probably come from: Fiber laser companies (IPG, nLIGHT, Lumentum, TRUMPF), directed energy programs (Lockheed, Northrop, Raytheon HEL), university laser labs that build high-power fiber systems (CREOL, Wyant, MIT Lincoln Lab), or photonics startups where you were hands-on with fiber laser builds. Not a fit if: Your experience is primarily using commercial lasers as tools (laser machining, laser scanning, lidar integration), semiconductor laser fabrication in a cleanroom, or free-space solid-state laser design without fiber experience. Nice-to-Haves: • Experience with directed energy weapon systems or defense laser programs, • Background in spectral or coherent beam combining for power scaling, • Familiarity with MIL-STD standards and ITAR compliance, • Experience with ruggedized optical system deployment in harsh environments, • Active security clearance or ability to obtain one, • Experience with laser safety protocols and high-power laser operations Education: BS, MS, or PhD in Optical Engineering, Photonics, Physics, Electrical Engineering, or related field. What you've built matters more than where you went to school. How You Operate: • Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month, • Rigorous testing mindset. You characterize your own systems before the field does, • Comfortable with ambiguity and fast, constantly iterating in a startup environment, • Your brain only releases dopamine when you're building, • You debug from first principles, not Stack Overflow, • Clear communicator across mechanical, electrical, optical, and ML teams, • Self-directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems? • Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet., • Career velocity is real. Erick Brito went from Founding Robotics Engineer to Lead in 12 months. At ~10 engineers, there are no layers between you and impact… or between you and your next title., • Work on a problem that actually matters. Small, cheap drones are changing warfare. Our laser systems are the asymmetric answer. Think infinite magazine, cost-per-shot near zero, scalable to every base, border, facility, truck and infrastructure., • Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. You'll be in the room with the people reshaping how America builds weapons. How we work: Core hours are Monday–Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up… nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. We go hard when the mission demands it, and we recover when it doesn't. If you've worked at SpaceX, against a mission-critical timeline, or on a racing team, you already know the rhythm. Benefits: • Competitive salary + equity, • United Health Care medical, dental, and vision coverage, • Flexible 18 days PTO + 5 sick days, • Travel to field test events and range days, • Covered daily lunches and office snacks + drinks, • E-bike / scooter stipend ( Up to $500), • Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Don't Check Every Box? Even if you don't meet every qualification listed, we encourage you to apply. At Aurelius Systems, we value diverse perspectives and are always looking for talented engineers with unconventional backgrounds. If you've done hard, hands-on technical work and you're hungry to work on something that matters reach out to our Head of Talent,

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations. This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom. Learn more at______ | Intelligence for Imagination. Note: This position is not eligible for Immigration Sponsorship at this time. About the Role This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world. As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life. Responsibilities Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position. You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously. Technical Depth (Hands-On Architecture) • Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production, • Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security, • Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working, • Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems Executive Presence & Live Architectural Thinking • Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor, • Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck, • Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session, • Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly, • Represent Fractal at the highest level of client relationship Team Leadership (Building & Driving Senior ICs) • Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers, • Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes, • Build leadership depth within the team, identifying principals who can own programs and grow into broader roles, • Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice Forward-Deployed & Embedded Delivery • Lead and run FDE-style engagements where your team operates inside the client's engineering environment, • Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey, • Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff, • Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path, • Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them Candidate Profile Technical Qualifications TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee: • GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability, • AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection, • Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks, • Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in, • Real-time and event driven data pipelines (e.g. network telemetry), • Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations Non-technical Qualifications We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices. • 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale, • Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them, • Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment, • The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal, • Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure, • A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs, • Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once, • Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance) Strong Preferences • Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale, • Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones, • Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem, • A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe, • Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns Who Thrives Here The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you: • Enjoy being client-facing and accountable for outcomes., • Are comfortable navigating ambiguity, scale, and complex stakeholder environments., • Believe great platforms come from strong engineering culture plus disciplined execution., • See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly. Fractal provides equal employment opportunities to all employees and applicants for employment 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.

AI Engineer (client facing) SF (open to NYC) / $180k-$280k + early stage equity My client is hiring an AI Engineer to work directly with customers on high-impact AI problems. You will design, build, and deploy production software that drives real business outcomes, working hands-on with customer data and iterating quickly based on real-world feedback with enterprise clients. This role is well suited to engineers from client-facing environments. My client has seen strong success hiring former data scientists and engineers from firms such as BCG, BCG X, McKinsey & Company, QuantumBlack, Bain & Company, Palantir, and similar applied AI or consulting-led organizations. What My Client Is Looking For: • Strong customer focus and comfort operating in ambiguous environments, • Proficiency in Python and or TypeScript in production systems, • Experience deploying data-heavy or AI-enabled applications, • Clear communication with technical and non-technical stakeholders, • Willingness to travel occasionally, typically up to 20 percent Nice to Have: • Forward-deployed or customer-facing engineering experience, • Production experience with ML, LLMs, or agentic AI systems, • Frontend experience, ideally React

Principal Technical Success Engineer | Hybrid (San Francisco Bay Area) I'm partnering with a fast-growing cybersecurity company doing cutting-edge work in the insider risk space. They're hiring a Principal Technical Success Engineer - a senior, deeply technical role sitting at the intersection of OS internals, security engineering, and customer impact. This is a rare opportunity to shape product direction, eliminate recurring problem classes, and serve as the foremost technical authority within a high-performing Customer Success organisation. What You'll Do • Serve as the senior technical escalation point across endpoint, backend, cloud, and data pipeline issues, • Act as the primary technical bridge between Customer Success and Engineering/Product, • Lead major incident response, cross-functional war rooms, and root cause analysis, • Translate recurring customer issues into roadmap recommendations and architectural improvements, • Build and maintain technical enablement programmes - playbooks, training, and readiness plans for the CS team What You'll Bring • 7+ years in a senior technical customer-facing role (L3 Support, Solutions Architect, DevOps, or similar), • Deep knowledge of Windows internals (ETW, WFP, memory management, driver interactions), • Strong macOS internals experience (Endpoint Security framework, System Extensions, FSEvents, MDM), • Hands-on experience debugging complex endpoint, network, and backend issues, • Familiarity with enterprise security ecosystems - EDR, DLP, UEBA, SIEM, SOAR, • Ability to reverse engineer unexpected endpoint behaviours and identify root causes at pace, • Strong communicator with executive presence and the ability to lead cross-functional initiatives Why Apply • Own the most complex, high-stakes technical challenges in the business, • Direct influence on product architecture and engineering roadmap, • Senior, high-visibility role at a company with record-breaking growth and strong VC backing, • Competitive comp ($165k-$220k) with real opportunities to grow into leadership

About the Opportunity We’re partnering with a fast-growing, venture-backed technology company building a modern data platform used by high-performing teams across multiple industries. This organization is focused on creating scalable, developer-first tools that power critical business decisions. They are seeking a talented Senior Full Stack Engineer to help build and scale their core product. What You’ll Do • Design, build, and maintain scalable full stack applications from concept to deployment, • Collaborate closely with product, design, and engineering teams to deliver high-impact features, • Own major components of the platform and drive technical decisions, • Improve system performance, reliability, and scalability, • Contribute to a strong engineering culture focused on quality, speed, and ownership What We’re Looking For • 5+ years of experience in software engineering, with strong full stack capabilities, • Proficiency in modern frontend frameworks (React, TypeScript), • Experience building backend services (Node.js, Python, or similar), • Strong understanding of APIs, distributed systems, and cloud infrastructure, • Experience working in startup environments (Seed to Series C preferred), • Passion for building high-quality, user-focused products Nice to Have • Experience with data platforms, analytics tools, or developer tooling, • Familiarity with AWS, Docker, or Kubernetes, • Background working on customer-facing applications at scale Why This Role • Opportunity to join a high-growth company at an early stage, • Competitive compensation + equity, • High-impact role with ownership and autonomy, • Work alongside a strong technical founding team

Principal Data Platform Engineer San Francisco, CA (Remote Eligible – US Only) $230K–$280K base + equity Are you ready to lead the design and build of a world-class data platform from the ground up? A high-growth, product-led tech company is looking for a Principal Data Platform Engineer to lead the buildout of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you. As the most senior technical IC on the Data Platform team, you'll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. Why this role? • Join a growing Data Platform team, • Own the technical vision and architecture end-to-end, • Tackle petabyte-scale data challenges and real-time streaming use cases, • Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.), • Drive platform evolution to support AI/ML and company-wide analytics What You’ll Do • Design and build a next-gen data platform to power product and internal use cases, • Architect for batch + streaming, scalability, fault tolerance, and low latency, • Lead data modeling, warehousing, governance, and ingestion best practices, • Champion engineering excellence and mentor senior engineers, • Align technical decisions with long-term business strategy, • Optimize for performance, cost, and resiliency in a modern cloud environment What We’re Looking For • 8+ years of experience in data engineering or platform architecture, • 5+ years at the Principal Engineer level or equivalent, • Deep expertise with Kafka (and its ecosystem), streaming data systems, • Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools, • Cloud-native architecture expertise (AWS, GCP, or Azure), • Track record of designing data systems for compliance and governance, • Experience scaling systems to support petabyte-level workloads, • Excellent communication, collaboration, and leadership skills, • Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

About Doorvest Doorvest is a modern, frictionless way to buy and own income-generating rental homes, entirely online. We give everyday investors access to institutional-grade real estate investing — from acquisition through ongoing property management. As we scale our portfolio and acquire property management companies, we're building the internal operations platform that makes it all work behind the scenes. About the Role We're looking for someone who sits at the intersection of product thinking, operational know-how, and hands-on building. You'll report directly to the Head of Product and play a key role in shaping how our operations team works — from the internal tools they use every day to the playbooks we run when integrating newly acquired property management companies into Doorvest. This isn't a traditional PM role where you write specs and hand them off. You'll own the roadmap for our internal case management and pipeline board system, coordinate directly with engineering and ops, and — when the situation calls for it — build lightweight tools and prototypes yourself using AI-assisted development. This role has four main areas of focus: 1. Product Owner, Internal Ops Tooling You'll own the product direction for our internal pipeline boards — the systems our ops team uses to manage leasing, renewals, move-outs, delinquency, Section 8 compliance, and more. You'll scope features, write engineering tickets, prioritize the backlog, run demos for the ops team, and make sure what we ship actually solves the problems they face every day. 2. Integration & Project Manager As Doorvest acquires property management companies, you'll help manage the operational integration. That means comparing management agreements, mapping fee structures, building owner communication plans, coordinating portal migrations, and keeping the whole transition on track. You'll start by supporting the Head of Product on active integrations, with the goal of owning the playbook independently over time. 3. Operational Excellence Driver Our ops team is growing, and the way we work needs to grow with it. You'll support and help execute cross-functional projects that improve how the team operates—building SOPs, establishing reporting cadences, fixing handoff processes, and tracking workstreams to completion. You won't be setting the strategic agenda alone (that's the Head of Product and COO), but you'll be the person who helps turn "we need to fix this" into a plan with owners, milestones, and follow-through. 4. Builder You're comfortable using AI-assisted development & automation tools (Claude, Cursor, N8N, Lovable.dev or similar) to prototype dashboards, automate workflows, or build internal utilities without waiting on engineering. You don't need to be a software engineer—but you should be someone who reaches for tools before asking someone else to build it for you. Responsibilities • Own the product roadmap for Doorvest's internal operations platform, including pipeline boards, case management workflows, and cross-pipeline automation, • Write clear, well-scoped engineering tickets that give developers room to make architecture decisions while defining the right outcomes, • Coordinate across ops and engineering—translating operational pain points into product solutions and helping keep both sides informed on priorities and progress, • Support and eventually lead the operational integration of acquired property management companies, including operations analysis, fee harmonization, owner communications, and system migration, • Run demos, gather feedback, and iterate based on what the ops team actually needs, • Build lightweight tools, dashboards, and prototypes using AI-assisted development to unblock the team or validate ideas quickly, • Support cross-functional operational improvement projects—helping build SOPs, track progress, and keep work flows moving alongside the Head of Product, ops managers, and COO, • Manage project timelines and deliverables across multiple concurrent workstreams You Might Be a Great Fit If You... • Have 3-5 years of experience in operations, project management, product management, or a hybrid of all three—titles matter less than what you've actually done, • Have worked in property management, real estate, proptech, or a similarly operationally complex industry, • Are naturally organized and can manage multiple workflows without things falling through the cracks, • Can talk to teams about their workflow pain points in the morning and write a technical ticket for an engineer in the afternoon, • Have used AI-assisted development tools to build things yourself—you don't need to be an engineer, but you should be a builder, • Thrive in small, fast-moving teams where you wear multiple hats and own outcomes, not just tasks, • Are a strong communicator—much of this role involves writing (tickets, owner emails, integration plans, async updates), but you'll also need to be comfortable on calls and eventually leading meetings with ops and engineering stakeholders Nice to Have • 1–2 years of direct product management experience (writing roadmaps, managing backlogs, working with engineering teams), • Experience with property management software (Rentvine, AppFolio, Buildium, or similar), • Familiarity with Linear, Slack, and modern product development workflows, • Experience supporting M&A integration, company onboarding, or operational transitions, • Exposure to AI-assisted development tools like Claude, Cursor, Lovable, or similar, • Background in business operations, consulting, or program management Work Authorization Due to current business constraints, we are unable to sponsor or transfer work visas at this time. Applicants must already be authorized to work in the United States without employer sponsorship. What We Offer • The chance to shape how a growing real estate platform operates from the inside out, • Direct access to leadership—you'll work closely with the Head of Product and collaborate daily with engineering and ops, • A role with real ownership where your decisions have immediate, visible impact

GHILOTTI CONSTRUCTION COMPANY (GCC) is an employee-owned heavy civil construction firm with a rich history spanning over a century. As an industry leader, GCC offers a diverse range of specialized services to both public and private sectors. Their expertise encompasses various fields such as heavy civil, roadway and bridge construction, grading, paving, underground utilities, concrete structures, earthwork, deep foundations, and soil stabilization. In the residential sector, GCC handles projects ranging from single-family homes to multi-unit subdivisions and apartment complexes. Their commercial experience extends to sectors such as high tech, hospitality, entertainment, and medical industries. With its extensive skill set and commitment to the community, GCC plays a vital role in fulfilling construction needs. Why GCC? With over a century of industry experience, GCC paves the way for the future. But what sets us apart is our unwavering commitment to our employees. When you join GCC, you're not just another staff member; you become part of our family and an owner of the company. GCC is fully employee-owned, giving you a personal stake in our success. At GCC, we believe in fostering a vibrant company culture. We go beyond offering competitive salaries and benefits—we create an environment where camaraderie and growth flourish. From birthday celebrations and bocce tournaments to holiday parties, crab feeds, company outings, and sporting events, we prioritize building a family-like atmosphere. We are also deeply invested in our community, supporting local education, children's charities, food banks, and nonprofits that directly benefit families. When you choose to build your career at GCC, you’re joining a company that genuinely cares about its employees and the communities we serve. JOB SUMMARY The Project Manager manages the overall project direction, completion, and financial outcome for assigned projects within GCC’s Heavy Civil Structures Department, with a primary focus on bridge construction, structural concrete, and formwork operations. The Project Manager is responsible for directing and mentoring on-site staff and coordinating off-site activities to ensure successful project delivery. This role requires strong business management acumen and leadership skills, as well as extensive knowledge of construction contracts, structural concrete construction methods, and bridge construction practices. The ideal candidate will have experience managing projects involving bridge construction, structural concrete placement, formwork systems, and related heavy civil infrastructure components. ESSENTIAL DUTIES AND RESPONSIBILITIES Include the following. Other duties may be assigned. Manages and/or coordinates Company personnel and resources. Oversees and assists the site safety manager. Assists in estimating efforts related to bridge construction and structural concrete work. Performs constructability reviews, including evaluation of formwork systems, concrete placement sequencing, structural components, and erection methods. Prepares and executes Project Execution Plan. Oversees project permit process. Prepares subcontracts, purchase orders, and oversees procurement process. Oversees cost control and change management systems. Maintains relationships with clients, designers, consultants, and internal GCC clients. Coordinates closely with field supervision to ensure proper formwork installation, reinforcing steel placement, and structural concrete operations. Prepares initial master schedule and oversees updates, including scheduling of formwork cycles, structural concrete pours, and bridge component installation. Compiles reports regarding financial performance of the project. Prepares monthly client project status reports, as required. Reviews and approves Trade Contractor Payment Applications with Superintendent. Reviews GCC pay application to owner and ensures monthly submission when costs are incurred. Attends and leads project meetings, including progress, pre-construction, and pre-award meetings. Reviews inspection and test data for compliance with project specifications and structural requirements. Develops and maintains site logistics plan in coordination with the Superintendent. Sets up QA/QC procedures and conducts quality inspections. Communicates and enforces Safety and Health Management Program. Demonstrates commitment to an Injury-Free Environment through personal actions and mentoring others. Oversees project close-out. Serves as owner contact for post-construction matters, including warranty period. Supports achievement of the company’s organizational goals and objectives by being cross trained and cross training others to increase knowledge and ability to perform different tasks. Job Skills & Abilities Guidelines Computer knowledge and efficiency, including Microsoft Office products. Thorough understanding of Lump Sum and Unit Price contracts. Strong written and verbal communication skills. Good math/accounting skills. Strong management skills. Functions effectively as part of a team. Ability to develop or maintain relationships with clients. Exhibits strong leadership qualities. Working knowledge of bridge construction methods, structural concrete placement, and formwork systems. Ability to maintain discretion and confidentiality at all times. Excellent time management and organizational skills. Strong decision-making and problem-solving skills. Education and/or Experience Bachelor’s Degree in Civil Engineering, Construction Management, or equivalent education and experience required. 5+ years of Heavy Civil construction experience required, with preference for experience managing bridge construction and structural concrete projects. Experience managing projects involving bridge construction, formwork systems, structural concrete placement, reinforcing steel coordination, and related heavy civil structural components is highly preferred. Advanced knowledge of construction engineering technology, codes, standards, accounting, etc., plus an in-depth understanding of the interdependence and relationship between other functional units required. Thorough understanding of corporate and industry practices, processes, standards, etc., and their impact on project activities is vital. Demonstrated ability to manage a team of varied disciplines. SUPERVISORY RESPONSIBILITIES Project Engineer / Temporary / Summer Staff as assigned. EQUIPMENT USE Telephone – Frequently Small Hand Tools – Moderate Copier – Occasionally Computer – Moderate SOFTWARE USE Spectrum, Microsoft Office Suite LICENSES AND CERTIFICATIONS None SPECIAL CONDITIONS OF EMPLOYMENT Pre-employment background screening investigation results acceptable to GCC at GCC’s sole discretion. Drug/alcohol test (negative test results). Background/security clearance (if applicable). Valid driver’s license and clean driving record. MENTAL DEMANDS Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from employees, regulatory agencies, or members of the business community. Ability to effectively present information to top management, employees, public groups, and/or boards of directors. Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; sit; and use hands to finger, handle, or feel. The employee is occasionally required to reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those employee encounters while performing the essential functions of this job. The work is typically performed in an office environment, and at field sites and client facilities, which requires proper safety equipment and precautions; work may require some physical effort in the handling of materials, boxes, tools or equipment and climbing of stairs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. GCC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Electrical Engineer Construction Manager (Exempt) – Major Healthcare Government Programs (VA) Location: San Francisco, California Employment Type: Full-Time, Onsite FLSA Classification: Exempt Salary Range: $130,000– $145,000 annually (commensurate with experience) Position Summary Seeking motivated Project Managers/Construction Managers (PM/CM) with a degree in Electrical Engineering to join our team at a VA Hospital in San Francisco, CA. Candidates will act as Design and Construction Managers reporting to a Program Manager as well as collaborate and assist VA client staff to provide data, generate reports, as a representative for the client on major healthcare construction projects. Who Will Succeed in This Role This role is best suited for professionals who: • Have supported complex construction projects within healthcare, government, or institutional environments, • Are comfortable analyzing financial, schedule, and compliance data to support program-level decisions The Construction Manager will be a part of a team of professionals and act as the Owner's Representative role on these programs from design through construction and closeout. The Construction Manager will be required to learn and integrate our company’s best practices related to project delivery, budget, schedule, quality and operations in the healthcare environment. The Construction Manager will act as an advisor/liaison with the client (user groups, design team, contractors, and facility engineering representatives). The Construction Management services will be used to support traditional Design-Bid-Build and Design/Build contracts. A summary of the major tasks is below. • Analyze and monitor project financial data, budget performance, and cost trends, • Review construction schedules and support progress and performance evaluations, • Participate in progress meetings and support issue identification and resolution, • Review testing, inspection, and quality assurance documentation for compliance, • Support claims administration, change management, and contract modifications, • Review contractor work documentation and reported progress for conformance with construction documents and approved schedules, • Prepare analytical reports, correspondence, and program status documentation, • Maintain tracking tools and reporting systems supporting program oversight Education • Bachelor’s degree of Electrical Engineering from an accredited institution is preferred; equivalent combinations of education and relevant experience will be considered., • Minimum of ten (10) years of progressively responsible experience in construction administration, construction management, or a closely related field, • Experience supporting regulated environments (federal, healthcare, or institutional) is highly desirable, • Candidates may be asked to provide examples or documentation of completed projects demonstrating relevant experience, • Requirements of local state and federal jurisdiction in relation to the Project., • Construction Contract Documents including Front End and Technical Specifications and drawings to readily understand and assess requirements., • Familiarity with construction practices, quality assurance, scheduling, cost management, and change management, • Demonstrated ability to exercise independent judgment in administrative, financial, and compliance matters, • Proficiency with Microsoft Office Suite and Adobe Acrobat, • Leadership: Must possess the ability to collaborate and integrate with other professionals, • Building construction experience, • Experience with Healthcare and Federal projects., • CCM, PMP certifications, • Full-time onsite work at an active construction site and office environment, • Ability to sit, stand, walk, and use standard office equipment, • Employment may be contingent upon successful completion of background checks and compliance with federal and VA suitability requirements, • Medical, Dental, Vision Insurance (99% of individual base plan paid by company; 50% for dependents), • 401(k) with up to 4% company match, • Paid Time Off and Paid Holidays, • Annual bonus eligibility based on individual and company performance About SIRIS SIRIS, LLC is a CVE-verified, Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in construction management, project management, and commissioning services for federal, healthcare, and institutional clients nationwide. We are a trusted partner on complex projects ranging from targeted renovations to large-scale developments, bringing technical expertise, accountability, and collaboration to every engagement. Our mission-driven approach supports healthcare, cultural, and government facilities where quality, reliability, and compliance are critical. Equal Opportunity Employer SIRIS, LLC is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

We are looking for a Vision-Language-Action (VLA) Research Engineer to help build the next generation of intelligent robotic systems. In this role, you will work at the intersection of computer vision, language models, and embodied control, developing models that allow robots to perceive the world, reason with language, and take meaningful actions in real-world environments. You will collaborate closely with systems engineers to translate cutting-edge research into scalable, real-world robotic capabilities. Responsibilities • Design, implement, and evaluate Vision-Language-Action models for embodied agents and robotic systems, • Develop multimodal learning pipelines combining visual perception, language understanding, and action/control, • Train and fine-tune large-scale models using simulation and real-world robotic data, • Explore approaches such as imitation learning, reinforcement learning, foundation models, and policy learning, • Integrate perception and decision-making models with robotic hardware and simulators, • Conduct experiments, analyze results, and iterate rapidly on model architectures, • Collaborate on research publications, internal reports, and technical documentation, • Stay current with the latest research in robotics, multimodal learning, and foundation models Qualifications • Strong background in machine learning, robotics, computer vision, or NLP, • Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow), • Hands-on experience with vision-language models, policy learning, or embodied AI, • Solid programming skills in Python (C++ a plus), • Familiarity with robotics concepts such as control, kinematics, sensors, or simulation, • Ability to read, implement, and extend research papers Preferred Qualifications • Experience training or deploying Vision-Language-Action or multimodal foundation models, • Experience with robotic simulators (e.g., Isaac Sim, MuJoCo, Habitat, Gazebo), • Background in reinforcement learning, imitation learning, or offline RL, • Experience working with real robotic platforms (manipulation, navigation, mobile robots, etc.), • Publications in top-tier conferences or journals (e.g., RSS, ICRA, CoRL, NeurIPS, ICML, CVPR), • Experience scaling training pipelines on distributed or cloud systems

Senior Full Stack Engineer We’re looking for a senior infrastructure-focused engineer to design and operate the foundational systems that enable large-scale data creation, evaluation workflows, and AI experimentation. This role sits at the center of platform reliability, developer velocity, and data-intensive workloads. You’ll be responsible for building durable, extensible systems that support both research and product use cases—balancing speed, scale, and correctness in production environments. What You’ll Do • Design and implement core platform services that support data generation, task execution, evaluation workflows, and human‑in‑the‑loop processes, • Build and maintain systems that reliably handle high‑volume data flows and compute‑intensive workloads, • Develop shared services, primitives, and APIs that empower engineers and researchers to ship faster with confidence, • Establish production‑grade observability, monitoring, and alerting to ensure system health and resilience, • Influence and shape the long‑term technical direction of data infrastructure, compute orchestration, and storage layers, • Partner closely with engineering and research teams to unblock new experimentation and platform capabilities, • Define best practices around infrastructure design, deployment workflows, reliability standards, and operational excellence Required Qualifications • 5+ years of experience building, deploying, and owning backend or infrastructure systems in production, • Strong proficiency with Python and/or JavaScript‑based backend frameworks, • Hands‑on experience operating cloud‑hosted systems in AWS or GCP environments, • Familiarity with event‑driven architectures and messaging systems such as Kafka, Pub/Sub, RabbitMQ, or similar, • Experience designing data‑intensive or asynchronous processing systems, • Solid grasp of scalability, performance tuning, fault tolerance, and systems reliability, • Demonstrated ownership of systems running at meaningful production scale, • Experience in fast‑moving, high‑bar engineering environments (e.g., top startups or large tech organizations) Preferred Experience • Building or maintaining internal platforms used by multiple teams, • Operating large data processing or analytics infrastructure, • Exposure to machine learning platforms, model evaluation pipelines, or AI‑focused tooling, • Experience scaling early infrastructure in growth‑stage environments, • Designing workflow engines or human‑in‑the‑loop systems Additional Requirements • Experience contributing to shared infrastructure, APIs, or platform abstractions, • Comfort owning architecture decisions across data pipelines, compute layers, and storage systems, • Strong collaboration skills when working across engineering and research functions, • Undergraduate degree from an accredited institution in the U.S., Canada, or the U.K.

Title: Staff Software Engineer, AI Product Location: Remote, United States Compensation: Up to $300k + Bonus We’re partnered with a fast-growing, product-led collaboration platform integrating AI to transform how teams work together visually. Their focus is on using generative AI to enhance creativity, alignment, and decision-making, building tools that feel intuitive and human while delivering real productivity gains. This is a high-impact product engineering role where you’ll bring AI-powered features to life end-to-end. You’ll work closely with product and design to identify meaningful use cases, rapidly prototype solutions, and ship production-grade systems that directly improve how teams collaborate. What You’ll Do • Build and iterate on AI-powered product features that enhance user experience and collaboration, • Develop early-stage AI systems and frameworks with measurable improvements in performance and relevance, • Translate ambiguous problems into structured solutions using data, experimentation, and ML principles, • Partner with product and design to define priorities and deliver high-impact features, • Contribute to AI strategy and help shape the direction of future innovation, • 5+ years of software engineering experience, • 2+ years building generative AI products in production, • Experience across Frontend (React/TypeScript), Backend (Python), and UI/UX for AI Tools, • Experience taking AI features from concept to production and maintaining them at scale, • Strong prototyping skills with a track record of 0 to 1 projects, • Ability to connect technical work to product and business impact, • Advanced degree in Machine Learning, AI, or related field, • Experience with retrieval systems, personalization, or NLP, • Track record of contributing to longer-term technical roadmaps, • Experience mentoring or leading engineers If you're interested in building AI-powered product experiences that enhance how teams think, collaborate, and make decisions, this is a great opportunity to have a direct impact in a fast-moving, design-focused environment.

A fast-growing AI company developing advanced design and engineering tools is looking for a Senior Applied AI Engineer to help build and scale intelligent agent systems powering their next-generation platform. This role focuses on creating production-grade AI workflows and agent architectures that connect advanced language models with real-world engineering and manufacturing environments. The successful candidate will play a key role in building systems that transform how engineers and designers interact with AI when creating physical products. This is a hands-on engineering role where you’ll work closely with product and research teams to translate cutting-edge AI capabilities into reliable, user-facing tools. Responsibilities • Design and implement AI agent systems and orchestration workflows for production applications., • Build intelligent pipelines integrating LLMs, tools, and external systems., • Develop evaluation frameworks to ensure reliability, performance, and accuracy of AI workflows., • Work on applications that bridge software systems with physical manufacturing technologies (e.g., CAD, 3D printing, CNC)., • Collaborate with engineering and product teams to bring new AI capabilities into customer-facing products. Qualifications • Strong software engineering background with TypeScript, React, Node.js, and Python., • Experience building LLM-powered applications and agent architectures (tool calling, multi-agent workflows, reasoning loops)., • Experience with orchestration frameworks such as LangChain, LangGraph, or similar., • Proven experience integrating AI systems into production web products., • Direct experience with the physical engineering world is essential – mechanical engineering, CAD, manufacturing, robotics, aerospace, or similar domains., • Experience working with multimodal AI systems is highly beneficial. The role is offering a salary of up to $250,000 per annum and is a hybrid working schedule (3 days per week). Please apply if you would like to hear more.

Senior AI Engineer Overview We’re hiring a Senior AI Engineer to build and deploy production-grade AI systems that solve real business problems. This is not a research role. This is for someone who knows how to take modern AI capabilities—LLMs, agents, retrieval systems—and turn them into reliable, scalable products. You’ll operate at the intersection of engineering and applied AI, owning systems end-to-end from architecture through deployment. What You’ll Do • Design and build AI-powered applications using modern LLM frameworks, • Develop and optimize agentic workflows and multi-step reasoning systems, • Implement retrieval-augmented generation (RAG) pipelines and vector search, • Own backend services that support AI-driven features, • Evaluate and improve model performance, accuracy, and reliability, • Build guardrails to reduce hallucinations and ensure output quality, • Work closely with product and engineering teams to translate use cases into production systems, • Monitor, debug, and iterate on live AI systems in production What We’re Looking For • Strong software engineering background with experience in production systems, • Hands-on experience working with LLMs (OpenAI, Anthropic, or similar), • Experience building AI applications—not just experimenting, • Proficiency in Python (or similar backend language), • Experience with APIs, microservices, and distributed systems, • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS), • Understanding of prompt design, evaluation, and model behavior, • Ability to work in ambiguous environments and move quickly Nice to Have • Experience with frameworks like LangChain, LlamaIndex, or LangGraph, • Background in building agent-based or workflow-driven systems, • Experience with fine-tuning or model customization, • Familiarity with cloud infrastructure (AWS, GCP, Azure), • Experience working with structured + unstructured data pipelines What Makes This Role Compelling • You’re building real AI systems—not prototypes, • High ownership across architecture, design, and delivery, • Work on cutting-edge AI applications with immediate impact, • Fast-moving environment with strong technical peers

A venture-backed Physical AI company based in San Francisco is partnering with us to hire an AI Engineer to work on cutting-edge multi-modal AI agent systems. This team is building intelligence that can perceive, reason, and act in the physical world by combining large language models, vision models, and real-world data streams. About the Role This role sits at the intersection of AI research and production engineering, focusing on building robust agent architectures capable of reasoning across text, images, video, and sensor inputs. Responsibilities • Design and develop multi-modal AI agents capable of reasoning across text, vision, and sensor data, • Build agent architectures leveraging vision models, and tool-use frameworks, • Implement planning, memory, and decision-making pipelines for autonomous systems, • Develop scalable inference pipelines for real-time AI applications, • Work on integrating AI models with physical systems, robotics, or sensor environments, • Optimize models and systems for latency, reliability, and real-world deployment, • Collaborate with cross-functional teams to bring AI systems from research to production Qualifications • Strong experience building AI agents or agentic systems, • Hands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data), • Strong Python skills and experience with PyTorch or similar deep learning frameworks, • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience working with tool-using agents, planning frameworks, or autonomous workflows, • Familiarity with distributed systems or production ML systems Required Skills • Strong experience building AI agents or agentic systems, • Hands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data), • Strong Python skills and experience with PyTorch or similar deep learning frameworks, • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience working with tool-using agents, planning frameworks, or autonomous workflows, • Familiarity with distributed systems or production ML systems Pay range and compensation package The role is offering a salary of up to $300,000 per annum and will work on a hybrid working schedule. The role will come with a significant equity portion also.

About Curio Curio is built from the ground up with privacy and security at its core — a place where toys and interactive experiences come to life through safe, imaginative play. Our mission is to increase imagination through products that enrich, educate, and entertain kids. We are a small, high-performing team, and every hire has a major impact on the product. Role Overview We are looking for a backend engineer with strong experience in voice systems to help build the infrastructure powering Curio’s conversational experiences. In this role, you will design, build, and scale backend systems that enable real-time voice interaction between children and Curio characters. You will own core services, APIs, and infrastructure, ensuring low-latency, reliability, and high performance. You will collaborate closely with AI, product, and hardware teams to deliver seamless voice experiences, contribute to system architecture and technical decisions, and rapidly iterate on new features. This role requires strong ownership, experience with real-time or streaming systems, and the ability to build scalable, production-grade infrastructure in a fast-moving environment. • Location: Woodside, CA, • Work Model: Onsite 4 days per week at HQ for Bay Area–based employees. For candidates based outside the Bay Area, onsite 1-2 weeks per month., • Company: Curio, • Employment Type: Full-time, • Visa Sponsorship: Available Responsibilities • Build and maintain backend systems supporting real-time voice interactions, • Develop infrastructure for speech-to-text, text-to-speech, and conversational AI pipelines, • Optimize latency and reliability for live voice experiences, • Design scalable backend services for Curio’s AI-powered products, • Work closely with AI and product teams to integrate conversational features, • Improve performance and reliability of the voice platform Qualifications • 3–8+ years of backend software engineering experience, • Strong experience building scalable, production-grade backend systems, • Strong experience with TypeScript in production environments, • Experience designing APIs and service-oriented architectures, • Strong understanding of databases and data modeling (PostgreSQL or similar), • Experience writing efficient SQL queries and working with complex datasets, • Experience with cloud infrastructure and distributed systems, • Strong debugging, performance optimization, and systems design skills, • Experience shipping production systems used by real users, • Experience with strongly typed languages and solid understanding of type systems Nice to Have • Experience with functional programming languages (e.g. F#, Scala, Haskell), • Experience working with real-time systems (e.g. voice systems, audio processing), • Experience building or working with AI-enabled systems, • Interest or experience using AI tools and agent-driven workflows to improve developer productivity, • Ability to contribute to frontend or mobile applications (React Native, React, Next.js, Expo, or similar), • Comfort working across the stack to support end-to-end feature development, • Experience with reactive messaging queue system (such as NATS or kafka), • Experience with low-latency streaming systems, • Experience integrating AI models into production applications Compensation Salary: • Mid-level experience: $180k-$230k + Equity, • Health and dental insurance, • In-office meals and snacks, • Phone stipend Compensation will be determined based on experience. What We Look For • Senior engineers with strong technical judgment, • People who can design and own critical infrastructure systems, • Experience building high-performance backend platforms, • Curiosity and excitement about voice interfaces and AI experiences Why Curio • Small team with high ownership and impact, • Opportunity to shape the future of AI-powered interactive toys, • Work at the intersection of AI, voice technology, and storytelling

About the Company Cappo Search is partnering with an early-stage AI startup based in San Francisco, founded by operators from Uber and McKinsey. The company is building agentic AI systems to transform how investment decisions are made. Their platform automates the private equity due diligence process — using AI agents to gather, analyse, and synthesise fragmented data into clear, actionable insights. Customers include: • Leading Private Equity & Venture Capital firms, • Top-tier consulting firms, • Strategy teams at Fortune 500 companies This is a small, fast-scaling team with significant early traction. Responsibilities: · Own and ship features end-to-end (0 → 1 and beyond) · Build across the stack (frontend + backend) · Work directly with founders on product and technical decisions · Help scale systems handling real-world, messy data · Operate in a fast-moving, execution-focused environment What we're looking for: · Strong programming ability (language agnostic, but able to ramp quickly) · Proven experience shipping production systems or products · Comfortable owning problems with high autonomy and ambiguity · Experience in either: • A fast-paced startup Nice to Have: · Experience with: · Python · TypeScript / Next.js · Postgres / Supabase · Experience building APIs, data-heavy systems, or AI-powered products · Previous startup or founding engineer experience · Side projects or evidence of building outside of work Who Thrives Here: · Engineers who prefer building over maintaining · People who want ownership and direct impact, not layers of structure · Individuals comfortable with intensity and high expectations · Builders who enjoy working closely with founders Working Style: · In-person team based in San Francisco · Highly collaborative, fast-paced environment · Close interaction with founders and small team · (This role is best suited to individuals who enjoy working at a high pace and being deeply involved in building and shipping product.) Why Join: · Build at the forefront of applied AI (agentic systems) · Direct influence on product and company direction · Work with experienced operators (ex-Uber) · Be part of a small, high-calibre team at an early stage Other Details · Comp: Up to $250k cash, plus equity · Visa Sponsorship available

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

Snowflake Architect Onsite 1day a week local to Bay Area, CA and one day onsite a week in Oakland office. EXP: 10+ years Looking for Hitech Clients working candiadtes like (Google, Mata, Facebook, Microsoft) Job Overview The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals. Key Responsibilities • Develop and optimize cloud-based data storage and processing solutions using Snowflake., • Design, implement, and maintain robust data pipelines and ETL processes, • Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions., • Ensure data integrity and security across all data workflows and storage solutions., • Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data., • Develop reusable and modular stored procedures and scripts for data processing., • Contribute to the development and implementation of data governance and best practices., • Monitor and troubleshoot data pipelines to ensure reliability and accuracy., • Implement best practices for data governance, data quality, and metadata management. Minimum Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related field., • Minimum of 5 years of experience in data engineering or a related role., • Proven experience with Snowflake is required., • Knowledge of data warehousing concepts, dimensional modeling, and performance tuning., • Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks)., • Strong proficiency in SQL and database management., • Experience with cloud platforms such as AWS, Azure, or Google Cloud., • Familiarity with version control (Git) and CI/CD for data pipelines., • Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. Preferred Skills • Experience with Python or other scripting languages., • Experience with informatica but not necessary., • Knowledge of data visualization tools such as Tableau or Power BI., • Exposure to data orchestration tools

Staff Software Engineer - Brand New Team! Location: San Francisco Bay Area Salary: $200,000 - $300,000 + stock options Synchro is partnering with an innovative, fast-growing startup at the forefront of microservices and workflow orchestration technology. This is a unique opportunity to join a team building next-generation platforms and tools used by developers worldwide. We are looking for a Staff Software Engineer with deep expertise in Java (primary), Spring Boot, and large-scale distributed systems. This role goes beyond hands-on engineering - you will play a key part in technical leadership, architectural direction, and shaping engineering best practices across the organisation. You should have a strong affinity for open-source development and a proven track record in building developer platforms, SDKs, or highly scalable systems. Key Responsibilities: • Lead the design and development of scalable, distributed systems and backend services, • Define and drive architecture decisions, ensuring systems are resilient, maintainable, and future-proof, • Build and evolve developer-facing platforms and SDKs, focusing on usability and performance, • Provide technical leadership and mentorship to engineers across the team, • Collaborate cross-functionally to deliver high-impact, business-critical features, • Drive best practices in code quality, testing, and system design, • Troubleshoot complex production issues and guide teams toward long-term solutions What We’re Looking For: • Deep expertise in Java and Spring Boot; experience with Python or Go is a plus, • Strong background in large-scale distributed systems and event-driven architectures, • Expertise in REST, gRPC, and asynchronous messaging systems (Kafka, RabbitMQ, etc.), • Proven experience designing cloud-native architectures and working with modern CI/CD pipelines, • Demonstrated ability to lead technical initiatives and influence engineering direction, • Strong problem-solving skills with a pragmatic, scalable mindset, • Experience in startup environments or building new teams/products from the ground up, • Passion for open-source technologies and developer experience Interested? Contact Joely Davies at Synchro to explore this exciting opportunity further!

Design Engineer MGT Insurance · Hybrid We're looking for a senior Design Engineer who lives at the intersection of design and code. You're the person who mocks something up in Figma, then opens a terminal and builds it — or prompts Claude Code to build it while you art-direct the output. You care deeply about craft, and your portfolio proves it. What you'll do Design and ship customer-facing web experiences end to end. That means owning the full arc: research and ideation, design prototypes, and production front-end code in Next.js. You'll work closely with engineering, product, and marketing, but you won't be waiting on anyone to translate your designs into pixels — you'll do it yourself, or pair with AI tools to move faster than a traditional handoff process allows. You own the look, feel, and digital brand What we're looking for • 5–8+ years of experience across product design and front-end development, • A portfolio of polished, visually compelling web applications you helped ship (send us the links — we want to click around), • Deep fluency in Figma: component systems, auto layout, prototyping, design tokens, • Comfort writing production Next.js / React, or using Claude Code to generate and iterate on front-end code with a high quality bar, • Strong opinions on typography, spacing, motion, and interaction design — loosely held when the data says otherwise, • Experience with Tailwind CSS, Framer Motion, or similar modern front-end tooling, • Familiarity with AI-assisted development workflows beyond Claude Code We're modernizing how insurance works, and design quality is a competitive advantage we take seriously. You'll have real ownership, a short feedback loop from idea to production, and a team that values craft over process theater.

Fullstack Software Engineer, AI Document Generation (Contract – 3 months) Location: San Francisco | Onsite 5 days/week We are looking for a Fullstack Software Engineer, you’ll design, build, and scale AI-native systems that power next-generation document creation tools. You’ll work closely with product and design to integrate LLM-based solutions, optimize workflows, and deliver reliable, production-grade applications end to end. Key Responsibilities • Develop and enhance AI-native workflows, APIs, and distributed systems., • Build frontend experiences using TypeScript, React, and modern JS frameworks., • Collaborate cross-functionally with product, design, and engineering leaders., • Maintain code quality, security, and performance for sensitive data systems., • Contribute to engineering standards, mentorship, and team best practices. What You’ll Bring • 5+ years of fullstack experience in Python, Go, Node.js, or similar., • Strong frontend development skills with React, TypeScript, and CSS., • Experience building scalable, reliable systems in fast-paced environments., • High ownership, curiosity, and comfort operating in ambiguity., • Bonus: Background in AI, legal tech, or mission-driven software. ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Title: Senior Machine Learning Engineer, Media Generation Location: Remote Compensation: Up to $300,000 + Equity We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms. This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments. What You’ll Do • Design, train, and deploy ML models for high-quality image, video, and 3D asset generation, • Work across computer vision and graphics to generate meshes, textures, and motion, • Build and optimize generative models such as diffusion, GANs, and transformer-based architectures, • Integrate ML systems into user-facing creative tools and applications, • Collaborate with product, engineering, and creative teams to ship AI-powered features, • Manage ML infrastructure including datasets, experiments, and deployment pipelines, • Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field, • 3+ years of experience in machine learning, computer vision, or computer graphics, • Strong Python skills and experience with frameworks such as PyTorch or TensorFlow, • Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.), • Solid understanding of 3D graphics, computational geometry, or related areas, • Experience with 3D reconstruction, tracking, or geometry analysis, • Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting, • Experience scaling ML models and optimizing training pipelines, • Background in distributed training, data pipelines, and experiment tracking, • Publications or contributions to research or open-source projects If you're interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

Title: Lead Machine Learning Engineer Location: San Francisco (Hybrid) Compensation: Up to $350,000 + Equity We’re partnered with a well-funded early-stage startup rethinking how designers build in the AI era, backed by top-tier investors and operators from leading AI and technology companies. They’re building a next-generation design platform powered by LLMs, focused on helping product teams move from idea to production faster through intelligent, AI-driven workflows. This is a foundational, high-ownership role where you’ll define and scale AI systems across the product. You’ll operate at the intersection of models, systems, and product, turning cutting-edge AI capabilities into reliable, measurable user-facing features. What You’ll Do • Own AI architecture and technical direction across the product, • Build and ship production-grade LLM features with clear quality and performance metrics, • Design and optimize AI pipelines across prompting, retrieval, agents, and evaluation, • Lead development of agentic systems and multi-step tool use workflows, • Establish standards for model evaluation, benchmarking, and observability, • 5+ years of software engineering experience, • 2+ years working with LLM APIs and prompt engineering in production, • Strong proficiency in TypeScript or Node.js and Python, • Experience with LLM evaluation, benchmarking, and performance measurement, • Hands-on experience with fine-tuning (LoRA, full fine-tuning, distillation), • Experience building agent-based AI systems, • Fine-tuned models for design-to-code generation, • Custom smaller models tailored to specific design workflows, • Multi-step AI agent systems with tool use, • Real-time, streaming AI experiences, • Context-aware code generation and intelligent suggestions If you're interested in building AI-native products that directly shape how modern teams design and build software, this is a rare chance to have early, meaningful impact on both the product and technical direction.

MEP Electrical Engineer and Senior MEP Electrical Engineer New York City, NY or San Francisco, CA Permanent, Full Time HC Solutions Group is partnering with a nationally recognized MEP consulting engineering firm with offices in New York City and San Francisco to identify an Electrical Engineer, and a Senior Electrical Engineer to join their growing team (position can office from either location). This client is a design driven firm known for delivering high performance, sustainable, and architecturally significant projects across diverse building types. Both roles offer the opportunity to work on complex, innovative building systems from schematic design through construction administration in a collaborative, principal led environment. About the Role The MEP Electrical Engineer and Senior MEP Electrical Engineer will be responsible for the design, documentation, and coordination of electrical building systems for commercial, institutional, and mixed use projects. These professionals will collaborate closely with architects, owners, and multidisciplinary MEP teams to deliver technically sound and constructible solutions. The Senior MEP Electrical Engineer will take on expanded technical leadership, detailed system design responsibility, and mentorship of junior staff. Key Responsibilities Responsibilities for both roles include: • Conceptualize electrical systems and communicate design strategies to clients and stakeholders, • Develop high quality construction documents and technical specifications, • Perform engineering calculations including load analysis, short circuit studies, voltage drop, feeder sizing, generator sizing, and lighting power density, • Design emergency power systems and prepare associated documentation, • Prepare building assessments and due diligence reports outlining existing conditions and system recommendations, • Participate in construction administration including field observations, contractor coordination, submittal review, RFIs, punch lists, and cost review, • Coordinate with internal MEP disciplines and external consultants, • Build and maintain strong client relationships Additional responsibilities for the Senior MEP Electrical Engineer: • Prepare detailed power one line diagrams, grounding diagrams, fire alarm layouts, lighting control systems, and complex distribution systems, • Lead project teams and manage electrical scope across multiple phases, • Mentor and develop junior engineers and designers, • Serve as a technical resource for complex code interpretation and system design decisions Qualifications MEP Electrical Engineer • Bachelor’s Degree in Electrical Engineering or Architectural Engineering, • Minimum 3+ years of experience in MEP building design, • Experience across multiple project phases from schematic design through construction administration, • Proficiency in Revit, AutoCAD, and Microsoft Office, • Strong knowledge of NEC, NFPA codes, and applicable building codes, • Experience with engineering calculations and energy compliance documentation, • LEED Accreditation preferred Senior MEP Electrical Engineer • Bachelor’s Degree in Electrical Engineering or Architectural Engineering, • 6 to 10 years of experience in the MEP buildings industry, • Licensed Professional Engineer preferred or required depending on project responsibility, • Demonstrated experience leading electrical system design for complex projects, • Advanced knowledge of NEC, NFPA, and applicable state and local codes, • Strong construction administration experience including submittal review and field coordination All candidates must be legally authorized to work in the United States without current or future sponsorship. Key Competencies • Experience with diverse building types including commercial, institutional, and high performance facilities, • Strong verbal and written communication skills, • Desire to grow into or continue in project management leadership roles, • Creative problem solving and analytical thinking, • Commitment to sustainable and high performance building design Why Consider This Opportunity • Offices in both New York City and San Francisco, • Work on architecturally significant and sustainable projects, • Collaborative, principal involved leadership structure, • Strong technical mentorship and professional development, • Exposure to high profile clients and complex design challenges If you are an MEP Electrical Engineer or Senior MEP Electrical Engineer seeking an opportunity in New York City or San Francisco with a top tier consulting engineering firm, we would welcome the opportunity to speak with you. Apply today to learn more about these openings!

Research Engineer – 3D World Generation SF, in-person Build real-time AI pipelines for interactive 3D world & game generation. Focus: • Diffusion/world model pipelines, • Multi-agent orchestration, • RL for adaptive/open-ended creation, • Agentic + diffusion tools for simulated environments Required: • Production experience with large multimodal/agentic systems, • Distributed training or large-scale 3D/vision pipelines Bonus: • Diffusion training/fine-tuning, • World models, sim RL, robotics, multi-agent, • Game engines (Unity/Unreal) as testbeds Compensation: • $200k–$350k base, • Significant equity, • Benefits + visa/relocation, • Free housing, food, transport

Forward Deployed Engineer (AI / Data / Systems) Overview We’re hiring Forward Deployed Engineers to build and deploy AI systems in real-world environments. This is a client-embedded engineering role. You will take ambiguous problems, design technical solutions, and ship production systems that integrate LLMs, data infrastructure, and operational workflows. You are not building demos—you are building systems that are used, measured, and iterated on. What You’ll Do Build Production AI Systems • Design and deploy LLM-powered applications using APIs (OpenAI, Anthropic, open-source models), • Implement retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS), • Build agent-based systems using orchestration frameworks (LangChain, LangGraph, custom agents), • Build and optimize data pipelines (batch + streaming) using tools like Airflow, Kafka, or similar, • Design data models and integrate structured/unstructured data sources (APIs, warehouses, document stores), • Work with data platforms such as Snowflake, Databricks, BigQuery, or Postgres, • Build scalable backend services and APIs (Python, FastAPI, Node.js, TypeScript), • Deploy services using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure), • Implement CI/CD pipelines and versioning for models, prompts, and workflows, • Design multi-step agent workflows with tool use, memory, and state management, • Implement function calling, tool routing, and structured output handling, • Work directly with stakeholders to translate business problems into technical systems, • Iterate rapidly in live environments with real users and feedback loops, • Own delivery from prototype → production → optimization What You Bring Engineering Depth • 3–8+ years of software engineering experience, • Strong proficiency in Python and/or TypeScript, • Hands-on experience with:, • Prompt engineering and evaluation, • RAG architectures and vector search, • LLM orchestration frameworks (LangChain, LangGraph, or similar), • Experience with databases (SQL + NoSQL), data pipelines, and ETL processes, • Familiarity with cloud infrastructure and containerized deployments, • You operate well in ambiguity and move quickly from idea → implementation, • You debug systems end-to-end (not just your layer), • Able to work directly with non-technical stakeholders, • Can explain system design, tradeoffs, and limitations clearly, • Comfortable operating in client-facing environments What Sets You Apart • Experience deploying AI systems in production environments at scale, • Built agent-based systems or internal AI tooling used by real users, • Experience with:, • Embedding models and semantic search, • Evaluation frameworks (human-in-the-loop, automated scoring), • Prompt/version management systems, • Background in startups, consulting, or high-ownership environments Why This Role • You’ll build systems that are actually used—not prototypes, • You’ll work across the full stack of modern AI systems, • You’ll have ownership over real outcomes, not just tickets, • You’ll operate at the edge of applied AI in production environments