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About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we’re building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle—from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement • Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions, • Conduct training sessions and develop enablement materials tailored to customer needs, • Proactively identify opportunities for customers to maximize platform value, • Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support • Provide hands-on support for solution setup and configuration within customer environments, • Support API and system integrations with existing customer infrastructure, • Diagnose and resolve technical issues, collaborating with engineering teams on complex problems, • Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support • Support the sales team with domain expertise and technical credibility, • Demonstrate technical capabilities and solution fit during the sales process, • Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration • Gather customer feedback and relay insights to product and engineering teams, • Reduce workload on core engineering teams by handling customer-facing technical work, • Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: • Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies, • Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles, • Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking), • Proficiency with Kubernetes for deploying, scaling, and managing containerized applications, • Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles, • Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: • Experience with additional programming languages (PyTorch, Rust, Go), • Familiarity with cloud platforms (AWS, Azure, GCP), • Experience with OpenStack and/or Slurm, • Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching), • Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand), • Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks, • Experience with kernel debugging, • Experience with LLM deployments, even at small scale, • Background in infrastructure design, SLAs, system design, and incident response, • Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks –because great work deserves great rewards. Work on your terms – flexible hours and remote-friendly culture. Fast lanes, no red tape – flat hierarchies and rapid decision-making Make it happen - your ideas aren’t just heard – they become reality. Right place, right time –be part of our growth story and build a career-defining legacy. Globality design – work with a diverse, international team across Germany and the US. Work with the best – work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

🔥 We’re Hiring: Frontend Software Engineer – Chalk hackajob has partnered with a forward-thinking tech-driven business that prioritizes innovation in its digital solutions and leverages extensive industry data to drive impactful results. We’re supporting Chalk in hiring a Frontend Software Engineer to help shape the next generation of their user-facing products. This is an excellent opportunity for engineers who love modern JavaScript ecosystems, frontend architecture, and cross-functional collaboration across full-stack teams. 💡 What You’ll Work On You’ll play a key role in designing and implementing scalable frontend features, optimizing user experiences, and contributing to technical architecture. This role is ideal for engineers who enjoy building elegant interfaces powered by TypeScript, React, Python, and Go services. 📍 Locations (Onsite – 50-mile radius) you MUST be located in: • San Francisco, CA OR • New York, NY ✅ Essential Skills • Frontend Software Engineering, • TypeScript with React, • Python and Go experience, • Strong frontend architecture skills 🎯 Experience Levels • 2 - 6+ years If you're passionate about building delightful and scalable frontend systems, we’d love to hear from you.

• ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS., • WE’RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE—SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS., • THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data — one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world’s leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations — empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences — designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence — one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We’re looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You’ll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do — identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker’s curiosity and a builder’s discipline. Why This Role: • You’ll have complete ownership of product and cloud security from architecture to execution., • You’ll lead by doing — hacking, breaking, and building resilient systems., • Be part of a company where security isn’t an afterthought — it’s a product feature. Job Responsibilities • Own and evolve the organization’s entire application security posture, with a focus on application and cloud security across all product lines., • Perform offensive and defensive security assessments — threat modeling, code review, penetration testing, and vulnerability exploitation., • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines., • Develop security automation and internal tooling using Python, Bash, or Go., • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF)., • Oversee incident response and root cause analysis for product and infrastructure-level security events., • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services., • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security – Specialty, OSCP, or CISSP., • Experience in SaaS, Big Data, or high-scale distributed environments., • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities., • Deep expertise in AWS security architecture and service hardening., • Advanced programming and scripting ability in Python (Bash or Go a plus)., • Proven experience with offensive security: hacking, exploit analysis, or red team operations., • Strong foundation in vulnerability management, threat modeling, and incident response., • Proficient with DevSecOps tools and modern CI/CD environments., • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.

ROLE: Salesforce Technical project manager Location: Remote Duration: 1 year Details: • Candidate should have strong prior engineering background and background working with engineering teams’, • Expertise with Jira & Atlassian required, • Must have need high familiarity with Salesforce projects as well as data enrichment project’s ability to handle multiple customers simultaneously.

Senior Data Centre Field Engineer – Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: • Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard., • Pull, terminate, and test Cat6/6a and fibre structured cabling systems., • Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required., • Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling., • Install and test Wireless Access Points, ensuring high-quality terminations and documentation., • Partner with internal teams or local field engineers on complex, multi-site deployments., • Mentor and support less experienced colleagues, sharing best practices and technical knowledge., • Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases., • Provide as-built and redline documentation updates to ensure engineering records remain current and accurate., • Conduct post-project reviews, sharing lessons learned to continually improve delivery quality., • Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early., • Stay current with emerging network technologies — routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling., • Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience • 5+ years’ experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator)., • Proven expertise in structured cabling, including fibre and copper installation, testing, and certification., • Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools., • Ability to read and interpret MOPs, cable run lists, patch plans, and schematics., • Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments., • Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning., • Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation., • Excellent customer-facing, communication, and documentation skills., • Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education • Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable., • CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details • Location: Bay Area, CA (frequent international travel required), • Contract Type: 12-Month Contract (1099 or C2C), • Client Type: Technology Consultancy, • Start Date: ASAP, • Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

CMK Resources is partnering with a fast-scaling AI cloud platform on a high-impact, confidential search. This team is solving cutting-edge infrastructure challenges to support massive-scale AI and HPC workloads. They are urgently seeking an experienced Staff/Sr. Staff+ Network Engineer to lead architecture and design of next-generation networking systems. This is a contract-to-hire role (6 months) with the potential to convert to full-time. You’ll work closely with a highly technical engineering team and help shape the backbone of our client's AI cloud platform. Responsibilities • Architect and implement network infrastructure supporting large-scale AI/HPC compute clusters, • Own the design and integration of Arista and Nvidia networking solutions (Infiniband, Spectrum X), • Build and support low-latency data center networking using RoCE and RDMA technologies, • Design scalable routing protocols (BGP, OSPF/IS-IS, EVPN, VXLAN, MPLS), • Provide expert guidance on backbone, edge, and peering infrastructure, • Collaborate cross-functionally with compute, storage, and software teams, • Mentor junior engineers and contribute to global on-call support Qualifications • Bachelor's Degree in Computer Science or related area, • 15+ years of experience in network engineering or architecture roles, • Proven track record building and scaling production network infrastructure, • Hands-on experience with Arista and Nvidia networking gear, • Deep understanding of RoCE (RDMA over Converged Ethernet), • Strong knowledge of routing protocols (BGP, EVPN, VXLAN, MPLS, etc.), • Experience with cloud connectivity to AWS, GCP, Azure or similar, • Familiar with switch/router chipsets (Broadcom, Barefoot) and vendors (Cisco, Juniper, Mellanox), • Bonus: scripting with Python, Ansible, or automation tools, • Comfortable working onsite (Sunnyvale, CA/Dublin, Ireland) or remotely with travel as needed Why Join: • Help build one of the most technically advanced AI infrastructure platforms in the world, • Work at the intersection of HPC, AI, and next-gen data center networking, • Join a small, senior team that moves fast and works on real impact, • Opportunity to lead and mentor while staying deeply technical

Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/ Architect. • Hands-on experience with LLM frameworks and tools like LangChain , Llama Index etc, • Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn)., • Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch., • Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models. (GCP Preferred), • Experience with generative AI and Large Language Models (LLMs)., • Proficiency in data analysis, statistical modeling, and machine learning theory., • Experience with containerization technologies (e.g., Docker) and deploying models as APIs., • Excellent communication skills and a proven ability to collaborate effectively in a team environment.

Top Requirements (Must haves) • 5-7 years experience working in Ecommerce with deep understanding of what drives Ecommerce KPIs, • Design experience in responsive web on complex websites (e.g., Ecommerce), • Design experience in iOS, native design conventions, and emerging technologies, • Strong visual and interaction design (using Figma) (they use this for everything - design and prototyping), • Strong organizational skills to manage fast-paced schedule and project work, • Must have a comprehensive understanding of UX principles, practices and processes, and a track record of delivering UX solutions and value to product and engineering teams in a large-scale business., • Creative and testing mindset – looking for someone to consider different approaches to ultimately find the best solution., • Must be flexible in approach, comfortable presenting to multiple levels of stakeholders, • Strong organizational skills to manage fast-paced schedule and project work, • Proactive, high level of engagement, etc. Additional Qualifications • Experience being involved & driving the discovery process, • Natural curiosity & inquisitiveness, • Strong fundamentals on information and interaction design, fundamentals of UX (preferably from a relevant Degree), • Experience with design systems highly desirable, • Proven ability to work cross-team and synthesize input from multiple groups, • Ability to juggle multiple priorities and effectively deliver in a fast-paced environment, • Communication skills and collaborative., • Understand what the stakeholders want and the design that they are looking for., • Ability to be influential, negotiate the vision, • B.S./B.A. or higher in User Experience Design, Information Design, Human Factors, Cognitive Psychology, or related fields

Enterprise Solution Architect Location: San Francisco (Hybrid) Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you’ll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems, • Define and document technical and business requirements, • Drive cloud-first and hybrid strategies (Azure preferred), • Evaluate internal solutions vs. vendor platforms, • Support implementation across dev, infrastructure, and business teams, • Translate between technical teams and business stakeholders, • Create documentation (workflows, user stories, diagrams, etc.) What We’re Looking For: • 10+ years of experience in enterprise architecture or IT consulting, • Deep understanding of cloud architecture and hybrid cloud environments, • Proven ability to lead cross-functional tech projects, • Strong communicator, comfortable interfacing with executives and developers alike, • Experience in large, data-sensitive or regulated environments a plus

Senior Software Engineer – Scaling AI/FinTech Product Full-time · On-site (San Francisco, CA) $175k–$250k + equity A high-growth VC-backed startup in the AI-driven fintech space is looking for experienced Senior Software Engineers to help expand and harden a platform used by major property and financial services organisations. The company has doubled revenue over the past year and is onboarding increasingly large customers — and now needs strong engineers who can build new product features, improve stability, and help evolve the system beyond its early-stage architecture. You’ll work closely with the CTO, senior ICs, and ML/infra specialists, contributing across the stack depending on your strengths. This is a role for someone who enjoys ownership, speed, and solving difficult engineering problems rather than sitting in a narrow product lane. What You’ll Work On Build and ship high-impact product features • Deliver features across backend, frontend or full-stack depending on experience., • Contribute directly to flows involving document analysis, fraud detection, and application processing., • Improve automation, reliability and customer onboarding capabilities. Strengthen and modernise the platform • Participate in refactoring, cleanup, and architectural stabilisation as the system matures., • Improve code quality, observability, and long-term maintainability., • Help prepare the codebase to support a much larger engineering organisation (20–40+ engineers over time). Collaborate across the engineering organisation • Partner with the CTO and Staff Engineers on core initiatives., • Work with ML and infra teams when projects touch model outputs, document processing, or backend systems., • Join technical discussions, debugging sessions, and design reviews. What They’re Looking For • 4–8 years’ experience in software engineering., • Experience shipping production features in TypeScript/React, Node.js, Python or similar modern stacks., • Background in a high-growth startup (Seed → A → B) or an environment where the engineering organisation scaled materially., • Comfort working in fast-moving, ambiguous environments with evolving product needs., • Evidence of increasing responsibility — promotions, expanded scope, ownership of meaningful projects. Tech Environment • Frontend: TypeScript, React, • Backend: Node.js, Python, • Infrastructure: GCP, • Databases: Postgres, BigQuery, • On-site in San Francisco preferred; hybrid possible for exceptional candidates. Why This Role Stands Out • Join a business with real revenue, strong growth, and top-tier backing., • Build systems used in the real world by major property and lending organisations., • Work directly with a very capable CTO and senior ICs who genuinely care about engineering quality., • Make tangible impact across the stack — not just incremental feature work., • Strong compensation package: competitive salary + meaningful equity.

Salesforce Solution Architect We’re looking for a hands-on Salesforce architect who specializes in CPQ and has strong familiarity with FSL & Revenue Cloud. This role is responsible for shaping technical direction, designing end-to-end solutions, and ensuring successful delivery of Salesforce programs that streamline sales, billing, and service operations. What You’ll Do • Define the overall architecture for Salesforce engagements, with a heavy emphasis on CPQ and Quote-to-Cash capabilities., • Break down business challenges and design scalable, secure, and efficient Salesforce solutions., • Act as the lead expert for CPQ—guiding workshops, validating requirements, and supporting delivery teams., • Create data architectures, integration strategies, and automation frameworks for quoting, billing, and service workflows., • Build technical prototypes and reusable solution components, and contribute to long-term technology roadmaps., • Oversee integrations with enterprise systems through APIs, MuleSoft, or other middleware tools., • Support sales cycles by contributing to estimates, design proposals, and client-facing technical discussions., • Establish development standards, governance models, and DevOps processes using tools such as Copado or Gearset., • Mentor team members and support internal enablement through documentation and knowledge sharing. Required Experience • 8+ years working with Salesforce, including 5+ years designing and delivering CPQ solutions., • Experience leading large, multi-cloud Salesforce programs, particularly involving CPQ and Revenue Cloud., • Deep understanding of product configuration, pricing logic, approvals, and overall Quote-to-Cash processes., • Strong grasp of Sales Cloud, Service Cloud, and Field Service architectural components., • Hands-on experience with system integrations, custom development, and AppExchange applications., • Background working within Agile teams and tools such as Jira., • Excellent communication skills, with comfort presenting technical solutions to senior leaders. Preferred Experience • Salesforce certifications including CPQ Specialist/Advanced, Sales Cloud, Service Cloud, Revenue Cloud, Field Service, Platform App Builder, or Architect-level credentials., • Familiarity with tools such as DocuSign, Advanced Approvals, OmniStudio, or revenue recognition systems., • Prior consulting experience supporting enterprise clients.

GNSS Systems Engineer – Hyfix Spatial Intelligence Location: Santa Clara, CA In- person, full time About HYFIX At HYFIX, we are building pioneering Spatial AI and autonomous systems to shape the future of intelligent technology. Our team is global, forward-thinking, and passionate about innovation. We thrive on solving complex challenges and are committed to creating solutions that push the boundaries of what's possible. About the Role We are seeking a skilled GNSS Systems Engineer with strong experience in GNSS hardware, module development, and performance optimization. This role focuses on evaluating and enhancing the performance of GNSS chipsets and modules by working closely with firmware engineers and RF teams. Key Responsibilities GNSS Module Development & Chipset Understanding • Contribute to the design, development, and technical review of GNSS modules., • Deep understanding of the GNSS chipset architecture, signal tracking algorithms, baseband behavior, and performance characteristics, and provide technical review and integration guidance., • Collaborate with hardware teams to improve RF front-end design, antenna integration, and overall module performance., • Review module-level schematics, PCB layout, and RF signal path decisions. Signal Processing & Tracking • Apply strong knowledge of GNSS signal tracking, acquisition, multi-frequency processing, and interference mitigation., • Analyze raw GNSS data (IQ samples, tracking logs, navigation messages) to diagnose performance issues. Embedded Systems & Firmware • Debug and optimize embedded RTOS & Linux C/C++ firmware for GNSS modules., • Troubleshoot firmware–hardware integration issues and propose fixes., • Support continuous performance improvements through firmware updates., • Familiar with ARM and/or RISC-V toolchain. Performance Analysis, Debugging & Production Readiness • Perform detailed GNSS chipset and module performance evaluations under real-world conditions., • Debug issues involving signal quality, multipath, RF interference, timing, sensor fusion, or hardware anomalies., • Work with engineering teams on GNSS chipset performance tuning and module mass-production readiness., • Create clear documentation, test reports, and technical recommendations. Cross-Team Collaboration • Participate in design reviews with the Silicon team and provide technical guidance. Required Qualifications • Master’s degree in engineering (Electrical, Computer, Robotics, Aerospace, or related field)., • Deep understanding of GNSS systems, tracking loops, signal structures (GPS, Galileo, BeiDou, GLONASS), interference, and multipath., • Strong hands-on experience with embedded RTOS & Linux C/C++, firmware debugging, and hardware bring-up., • Experience with RF systems, antennas, and GNSS module hardware., • Ability to analyze GNSS raw data, track logs, and RF measurements., • Strong debugging skills across hardware, firmware, and signal domains. Nice to Have Qualifications • Experience with GNSS high-precision technologies, including PVT, RTK, PPP, and multi-frequency positioning., • Hands-on experience with GNSS + IMU sensor fusion, including integration, calibration, and performance tuning. Benefits • 401(k), • Dental insurance, • Vision insurance, • Paid time off, • Professional development assistance How to Apply We’d love to hear from you! Send your resume and a short cover letter to

🚀 Senior Full-Stack Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS startup building an application builder that empowers business users to create custom applications where humans and AI collaborate seamlessly across enterprise workflows. You’ll play a pivotal role in shaping core architecture, product development, and first production deployments, working directly with the founder and early team. About the Role We’re seeking a Senior Full-Stack Engineer to lead product development and own major product surfaces across frontend, backend, and integration layers. This is a high-impact role where you’ll directly influence product direction and help build the foundation for Lumena’s platform. What You’ll Do • Design and build the core application builder — the orchestration layer connecting workflows, agents, and front-end views., • Develop and scale Lumena’s TypeScript-based backend and modern frontend stack (React + Tailwind)., • Build dynamic frontend interfaces for dashboards, forms, and human-AI workflows., • Collaborate with the applied engineering team to integrate automation and intelligence across systems., • Shape and maintain the integration layer connecting REST APIs, SQL sources, and third-party systems., • Define and enforce best practices for product engineering, architecture, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience in full-stack development., • Prior experience working in early-stage startups or high-growth environments., • Strong proficiency with TypeScript, Node.js, and modern frontend frameworks (React, Tailwind)., • Experience designing complex architectures, asynchronous workflows, and integrations., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with orchestration/workflow frameworks such as Temporal., • Exposure to cloud platforms (AWS/GCP/Azure), containerisation, Kubernetes, and CI/CD pipelines., • Experience with enterprise-grade concerns: secure hosting (VPCs), observability, identity & compliance. Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work directly with experienced founders and influence the product roadmap., • Shape the architecture and direction of a high-impact platform powering first production deployments., • Be part of a small, agile, highly motivated team at the forefront of AI and enterprise applications.

HCLTech is looking for a highly talented and self- motivated Embedded Tester (DVT) to join it in advancing the technological world through innovation and creativity. Job Title: Embedded Tester (DVT) Job ID: 1632902BR Position Type: Full-time Location: Alameda CA (Onsite) Qualifications & Experience Minimum Requirements • Note-White Box /Black Box Testing exp. is mandatory., • Perform software code regression analysis (in C & C++) with knowledge of custom HW design to plan for Verification testing. Experience in C/C++ coding is must., • Strong experience in Embedded Device Manual Software Verification, • Expertise in understanding the System and Software architecture, Test protocols, debugging and test execution., • Experience in Test protocol design , review and update, • Hands-on work experience in communication protocols and thorough understanding of communication protocols like UART, SPI, I2C, BLE, NFC, USB, etc.,, • Expertise in testing software from inception, requirement specifications, planning, designing, test protocols development, configuration, release management, defect identification, prevention, root cause analysis & documentation to Final release., • Strong experience in Design Verification Testing., • Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization., • Experience in working for regulated industry like Medical, Aero, Auto, • Strong experience in handling the test equipment like Oscilloscope, Function generators, DMM, PSU., • Good experience and understanding of Medical Quality Management System(MQMS) – ISO 13485, Risk Management –ISO 14971, Medical Device-SDLC-IEC 62304 is preferred Pay and Benefits Pay Range Minimum: $71,000 per year Pay Range Maximum: $108,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Founding Full Stack Engineer (Frontend + UX Focus) Location: San Francisco (on-site) We’re helping a YC-backed, seed-stage startup hire a Founding Engineer who can take full ownership of the product’s look, feel, and overall experience. The company builds the simulation and evaluation layer for voice and text AI agents, used by both fast-growing startups and large enterprises. This role is full stack, but the centre of gravity is very much the frontend. You’ll be the person who makes a complex AI platform feel simple, fast, and genuinely enjoyable to use. What You’ll Own • End-to-end ownership of core UI: dashboards, debugging tools, evaluation workflows., • Turning rough ideas into product: sketching, prototyping and shipping quickly., • Driving UX quality across the product: layout, interaction, states, polish., • Building intuitive interfaces over real-time systems, large datasets, and AI outputs., • Dipping into the backend (Python/FastAPI, Supabase, AWS) to unblock yourself and shape APIs. What They’re Looking For • Strong front end engineering with sharp product taste., • Someone who cares about clean UI, clear UX flows, and fast interactions., • Ability to work full stack when needed, but happiest owning the product surface., • Comfortable working on-site with founders, shipping quickly, and iterating with customers., • Opinionated about design details and code quality. Nice-to-Haves • Experience with React, TypeScript, Next.js, Tailwind., • Exposure to AI/voice tooling a bonus, not required., • Prior early-stage or YC/VC-backed startup experience., • Examples of beautiful or highly polished UI you’ve built. If you want to define the visual and interactive identity of a high-velocity AI product and sit at the heart of a tiny founding team, this is the one.

Senior Infrastructure Engineer Full-time | On-site (San Francisco) $200K + meaningful equity We’re hiring a Senior Infrastructure Engineer to help build and run the infrastructure behind a next-generation enterprise AI platform. You’ll take ownership of deployment architecture, automation, and reliability across multiple customer environments, working closely with engineering and forward-deployed teams to ensure smooth delivery of our product at scale. This is a hands-on role for someone who enjoys deep technical work, solving complex infrastructure challenges, and shaping how a modern AI platform is deployed into large organisations. What you’ll be doing • Designing and operating containerised environments using tools such as Docker and AWS orchestration services., • Building and maintaining infrastructure-as-code modules to automate customer deployments., • Handling configuration, rollout, upgrades, and troubleshooting across cloud and hybrid environments., • Diagnosing and resolving high-impact issues quickly to keep customer projects on track., • Feeding insights from real implementations back into the product to help improve performance, scalability, and reliability., • Working with customer engineering teams to ensure deployments align with security and compliance requirements. What you’ll bring • Strong background in infrastructure engineering, DevOps, or platform engineering (5+ years)., • Hands-on experience with AWS services (e.g., container orchestration, networking, storage, and secrets management)., • Deep knowledge of Docker and Terraform, plus a passion for automation., • Experience working in multi-environment or multi-tenant SaaS setups., • Familiarity with authentication technologies (OIDC/OAuth/SAML), secrets management, and secure deployment practices., • Ability to communicate clearly with both internal teams and enterprise technical stakeholders. Nice to have • Experience supporting deployments into highly regulated or security-focused organisations., • Exposure to on-prem or hybrid-cloud software delivery., • Understanding of modern backend stacks (Python, FastAPI), databases, or event-driven systems. Why join You’ll be part of a small, fast-moving team building production-grade AI technology used by large, well-known enterprises. We ship quickly, work collaboratively, and value engineers who take ownership and enjoy solving problems that haven’t been solved before. If you’re excited by the idea of shaping infrastructure for a cutting-edge AI platform—and want your work to have immediate impact—we’d love to speak with you.

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams — helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K–$300K (level & location based) + 0.1%–0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this • Build the intelligence layer behind a platform transforming clinical workflows at scale., • Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies., • High-ownership role in a small, senior, research-driven engineering team (20 people)., • Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space., • Direct real-world impact: your work will be used daily by clinicians and care teams., • Remote-first, high-autonomy culture with strong technical leadership. About the role • Build and enhance clinical information extractors, summarizers, and automation systems., • Scrape, process, transform, query, and analyze structured/unstructured clinical data., • Evaluate system performance and refine the clinical knowledge graph., • Develop secure, compliant code aligned with HIPAA & SOC 2., • Contribute to core data/AI/ML pipelines and infrastructure., • Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit • 7+ years of experience in AI/ML engineering or full-stack SWE., • Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines., • Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas., • Experience working with large, messy, clinical/healthcare datasets (nice-to-have)., • Familiarity with secure coding, privacy, and compliance standards.

Summary: Mid-stage investment with offices in SF and NYC is looking to hire a Growth Marketing Manager with 5+ years industry experience and a strong background in growth, demand generation, or performance marketing roles—ideally in B2B SaaS or a high-growth environment. Must be able to own creative testing, and GTM alignment. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). How We Work: We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Member of Technical Staff - AI Data Engineer San Francisco (In-Office) $150K to $225K + Equity A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance. Responsibilities: • Build distributed, reliable data pipelines using Airflow, Temporal, and n8n, • Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.), • Build API and function-based services in Python, • Develop custom automations (Playwright, Stagehand, Zapier), • Work with AI researchers to define and expose context as services, • Identify gaps in data quality and drive changes to upstream processes, • Ship fast, iterate, and own outcomes end-to-end Required Experience: • Strong background in data engineering, • Hands-on experience working with LLMs or LLM-powered applications, • Data modeling skills across SQL and vector databases, • Experience building distributed systems, • Experience with Airflow, Temporal, n8n, or similar workflow engines, • Python experience (API/services), • Startup mindset and bias toward rapid execution Nice To Have: • Experience with stream processing (Flink), • dbt or Clickhouse experience, • CDC pipelines, • Experience with context construction, RAG, or agent workflows, • Analytical tooling (Posthog) What You Can Expect: • High-intensity, in-office environment, • Fast decision-making and rapid shipping cycles, • Real ownership over architecture and outcomes, • Opportunity to work on AI systems operating at meaningful scale, • Competitive compensation package, • Meals provided plus full medical, dental, and vision benefits If this sounds like you, please apply now.

Distributed Systems Engineer San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You’ll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads, • Build compute orchestration and scheduling across thousands of GPUs, • Improve uptime, resilience, and execution speed of high-volume data pipelines, • Design pipelines capable of handling petabyte-level video datasets, • Lead the development of CI/CD and internal tooling for fast iteration, • Partner closely with research engineers delivering new video models and algorithms, • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure, • Experience running critical systems at significant scale, • Proficient across cloud architectures, • Strong coding experience with Go (preferred) and Python, • Background building or maintaining large-scale pipelines, • Experience with ML-focused CI/CD and automation, • Video domain experience is not required, • Operates as a strong IC who leads through action, • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction, • Communicates clearly and concisely, • Shows strong intellectual curiosity, • Low ego, collaborative mindset, • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process • Intro call focused on culture, curiosity, and communication, • Technical discussion on background and complexity of past work, • Problem-solving session with a research engineer, • Onsite research problem and collaboration exercise

Hadoop Administrator About the Team: The mission of the Big Data Operations team is to help teams harness the power of Big Data by providing reliable and robust platform. We’re currently building NextGen Big Data platform on AWS, while we maintain and scale the existing platform in our datacenters to meet current demands. We’re responsible for building, capacity planning, security, and disaster recovery for our NextGen platform in AWS. It is very important for us to provide greater visibility into the operational telemetry of our Big Data platform via collecting logs and metrics from various sources and setup alarms accordingly to identify issues proactively rather than reacting to them. What you’ll do: • In this job, you’ll design, build, scale and maintain the infrastructure in both datacenter and AWS to support Big Data applications., • You will design, build, and own the end-to-end availability of Big Data platform in both AWS and datacenter., • You will improve the efficiency, reliability, and security of our Big Data infrastructure, while making sure that our developers & analysts have a smooth experience with it., • You will work on automation to build and maintain new platform on AWS., • You will build custom tools to automate day-to-day operational tasks., • You will be responsible for setting the standards for our production environment., • You will take part in 24X7 on-call rotation with the rest of the team and respond to pages and alerts to investigate issues in our platform. What you'll have: • Strong experience with Hadoop ecosystem like HDFS, Yarn, Hive, Spark, Oozie, Presto and Ranger, • MUST have strong experience with Amazon EMR., • Good working experience with RDS and good understanding on IaaS, PaaS, • Strong foundation of Hadoop security including SSL/TSL, Kerberos, Role based authorization, • Performance tuning experience of Hadoop clusters, ecosystem components and MR/Spark jobs, • Experience with Infrastructure automation using Terraform, CI/CD pipelines (GIT, Jenkins etc), and configuration management tools like Ansible, • Able to leverage technologies like Kubernetes/Docker (ELK) to help our Data Engineers/Developers scale their efforts in creating new and innovative products., • Experience with providing and implementing monitoring solutions based on logs using CloudWatch, CloudTrail and Lambda etc., • Ability to do post-mortem if something bad happens to your systems. Identify what went wrong and provide detailed RCA., • Proficiency in Bash & Python or Java, • Good understanding of all aspects of JRE/JVM and GC tuning, • Hands-on experience with RDBMS (Oracle, MySQL) and basic SQL, • Hands-on experience with Snowflake is a plus, • Hands-on experience with Qubole and Airflow is a plus

Staff Data Scientist | San Francisco | $250K–$300K + Equity We’re partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they’ve secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you’ll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you’ll do: • Drive deep-dive analyses on user behavior, product performance, and growth drivers, • Design and interpret A/B tests to measure product impact at scale, • Build scalable data models, pipelines, and dashboards for company-wide use, • Partner with Product and Engineering to embed experimentation best practices, • Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we’re looking for: • 5+ years in data science or product analytics at scale (consumer or marketplace preferred), • Advanced SQL and Python skills, with strong foundations in statistics and experimental design, • Proven record of designing, running, and analyzing large-scale experiments, • Ability to analyze and reason about ML models (classification, recommendation, LLMs), • Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Position Summary: We are seeking an experienced Physical Security Systems Contractor to provide break-fix support for our enterprise security infrastructure. This role will focus on troubleshooting and resolving issues reported by our Global Security Operations Center (GSOC) team through our Jira ticketing system. The contractor will work on-site in San Francisco with cutting-edge security technologies and coordinate with field integrators to ensure rapid resolution of critical security system issues. Key Responsibilities: Monitor and respond to break-fix tickets in Jira submitted by GSOC team during business hours Perform troubleshooting and diagnostics on physical security systems including: Access Control Systems Video Management Systems (VMS) Visitor Management Systems Network-connected security devices Analyze device and network connectivity issues using system logs and diagnostic tools Determine root cause of system failures and implement software-based solutions when possible Coordinate with field integrators when hardware replacement or on-site intervention is required Provide clear dispatch instructions and technical guidance to integrators Ensure proper resolution validation before integrator departure from site Maintain detailed documentation of troubleshooting steps and resolutions in Jira Escalate complex issues to appropriate vendor support channels when necessary Participate in post-incident reviews to identify preventive measures Required Technology Experience: Video Management: Axis cameras and video solutions, Genetec Security Center VMS, Sureview immersive video management Access Control: Wayvelinx cloud-based access control systems AI/Analytics: Alcatraz.ai facial authentication, Ambient.ai computer vision analytics Network troubleshooting for IP-based security devices Enterprise security system architecture and integration Required Qualifications: Minimum 5 years of hands-on experience with enterprise physical security systems Strong experience with IP networking, VLANs, and network troubleshooting Proficiency with Jira or similar ticketing systems Experience coordinating with field technicians and integrators Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work independently and manage multiple concurrent issues Must be able to work on-site in San Francisco during standard business hours Reliable transportation to San Francisco location Preferred Qualifications: Industry certifications (e.g., Genetec, Axis, networking certifications) Experience with enterprise-scale deployments Knowledge of cybersecurity best practices for physical security systems Previous GSOC or NOC experience Experience with vendor escalation processes Bay Area experience preferred Key Performance Metrics: Average ticket resolution time First-call resolution rate Customer satisfaction scores from GSOC team Successful integrator dispatch coordination rate Working Conditions: Full-time on-site presence required at San Francisco location Standard business hours: 8:00 AM - 5:00 PM, Monday through Friday Occasional flexibility may be required for critical system issues Professional office environment Compensation Estimated Pay Range: 75K-85K Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Crossing Hurdles is a global recruitment consultancy partnering with a hyper-growth AI content optimization platform helping brands dominate AI and traditional search. Scaling from $2M to $10M ARR in under a year and backed by a fresh Series B (Sep 2025), the company empowers teams to create and optimize content at scale—driving rapid growth, innovation, and global impact. Role - Product Engineer Location - San Francisco or New York (Hybrid) Required Tech Stack - Python, TypeScript, React, NLP, LLMs, Embeddings, Text Analysis. Compensation - $160K – $200K + competitive equity Benefits - Flexible time off policy, Generous parental leave. YOE -3+ years in full-stack/ product engineering (B2B SaaS & 0→1 experience). Roles & Responsibilities: • Design, prototype, and launch AI-powered products from concept to production., • Collaborate with product, design, and data teams to build and ship features quickly., • Work directly with customers to validate ideas and improve user experience., • Handle 0→1 product development in fast-paced, ambiguous environments., • Stay updated on AI/ML research to deliver innovative solutions., • Ensure systems are scalable, fast, and reliable under real-world conditions. Requirements: • 3+ years of experience as a Full-Stack or Product Engineer, with proven ability to ship production-grade code in B2B SaaS environments., • Strong proficiency in Python, TypeScript, and React, with experience across the full stack (infra, backend, frontend)., • Hands-on experience with AI/ML technologies, including NLP, LLMs, embeddings, and text analysis., • 0→1 startup experience — ability to thrive in fast-paced, ambiguous environments as an early engineer or founding team member., • Exposure to MarTech, AdTech, workflow-heavy, or data-intensive products., • Strong customer understanding and communication skills; comfortable working directly with users., • Degree in Computer Science or related field from a top institution (preferred)., • Passion for building elegant, reliable systems that deliver real value to customers.

Early-stage (vertical RL) company looking to hire a Sr. Applied RS with a strong background in reinforcement learning. Qualifications: • Applied Research with MS or PhD in a related field and 4+ years industry experience in deep learning and 2+ years with reinforcement learning, • Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Overview A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? • Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape., • Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving., • Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software., • Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems., • Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: • Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration., • Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform., • Develop backend services to process and serve complex 3D visualizations from simulation and geometric data., • Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs., • Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements • Strong backend software engineering experience, with a primary focus on Python., • Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered)., • Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK., • Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models., • Experience working in fast-paced environments where end-to-end ownership and proactivity are essential., • Exceptional communication and collaboration abilities. What Will Make You Stand Out • Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools)., • Exposure to agent frameworks, workflow orchestration engines, or distributed systems., • Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends., • Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

About the Company A global AI company advancing foundational models, reinforcement learning, and multimodal architectures at enterprise scale. Its research emphasizes large language models, agentic systems, and distributed ML infrastructure, powering solutions across healthcare, finance, and mission-critical sectors. The company’s mission is to deliver safe, explainable, high-performance AI into production environments, setting new global benchmarks for adoption and trust. The Opportunity: Chief AI Officer The company is seeking a Chief AI Officer (CAIO) to lead its scientific direction and drive innovation at the forefront of large-scale AI. The CAIO will oversee model research, distributed infrastructure, and applied machine learning deployment, while also shaping global standards for AI safety and governance. This role provides the authority to build a top-tier research organization and establish the path for enterprise adoption of intelligent systems. Key Responsibilities • Foundation Model Research: Advance transformer-based architectures, LLM pre-training and fine-tuning, multimodal AI, and agent-driven frameworks., • Reinforcement Learning: Scale RLHF and optimization strategies to improve robustness, alignment, and system reliability., • Infrastructure Leadership: Architect distributed training pipelines and optimize large-scale compute environments using GPUs, TPUs, and emerging accelerators., • AI Safety & Compliance: Develop frameworks for interpretability, adversarial robustness, bias detection, and alignment with global regulation., • Scientific Leadership: Publish in leading AI conferences, represent the company in international forums, and establish it as a thought leader in global AI. Candidate Profile • PhD in ML, CS, or applied mathematics with a strong publication record in NeurIPS, ICLR, ICML, or equivalent., • 12+ years of AI research and leadership experience, with success in scaling foundation models and multimodal systems into production., • Deep expertise in transformer architectures, RLHF, distributed optimization, large-scale data pipelines, and interpretability research., • Recognized leader in AI with international influence across research, enterprise adoption, and regulatory ecosystems., • Proven ability to build and lead high-impact research and engineering teams. Compensation & Benefits • Executive compensation package with performance-based incentives tied to scientific and commercial milestones., • Significant equity participation reflecting long-term value creation., • Comprehensive health, vision, dental, and executive wellness programs., • Platform to define the global future of intelligent systems and shape standards for safe, enterprise-scale AI.

IT Support Engineer Global Security Vendor San Francisco, California $85,000 - $95,000 + Bonus & Great Package This Global Security Vendor is a category leader and due to thier expansion plans require an IT Operations Engineer in thier IT department to support the needs of global end users and departments while helping to implement IT solutions that enable the company’s growth. You’ll interact daily with end users and support the evolving needs of a fast-growing organization. You must have experience in a senior desktop engineer or systems administrator position to apply for this position. In this role you will: • Identify persistent issues and recurring failures in the environment, and drive them to resolution by collaborating with the appropriate IT team members and/or business application owners., • Provide advanced technical assistance with computer hardware and software, supporting end users via phone, in person, or remotely across a globally distributed workforce., • Execute the new hire onboarding process flawlessly, continuously improving it to enhance the overall new hire experience. Similarly, ensure offboarding is completed accurately and on time., • Test and implement tools that enable efficient deployment and support of end-user technology, improving user experience and productivity., • Prioritize ongoing tasks effectively and proactively communicate roadblocks (e.g., external dependencies, approvals, scope changes) to senior management., • Write clear, concise, and accurate Helpdesk Standard Operating Procedures (SOPs) and maintain up-to-date IT knowledge base articles, documentation, and end-user guides., • Assist with MDM policy administration, software deployment, and support for macOS and Windows laptops., • Support the deployment and maintenance of a range of Microsoft technologies, including but not limited to Entra ID, Microsoft 365, and Copilot., • Provide support for VoIP phones and conference room AV systems (SIP/PSTN, microphones, cameras, and general connectivity issues)., • Handle laptop imaging, patching, and mobile device management (iOS/Android) support., • Prioritize IT requests based on impact and urgency, and engage with all levels of the organization to resolve issues promptly., • Partner with other IT team members to implement technology projects, services, and automation tools, following established processes and measuring effectiveness., • Manage endpoint/laptop physical inventory and ensure that the electronic Asset/CMDB database remains accurate and up to date., • Communicate effectively and professionally with end users, customers, vendors, and other IT personnel., • Maintain physical and logical security accounts for assigned systems., • Monitor and resolve incidents related to systems, networks (e.g., VPN), and security., • This role does require coming onsite regularly into the HQ located in San Francisco. To be successful in this opportunity, you will have: • Proven experience of relevant IT support experience as a senior desktop engineer or systems administrator in a fast-paced environment., • Strong prioritization, troubleshooting, and critical thinking skills are essential., • Proficiency with mobile device management solutions (e.g., Jamf, Kandji, and/or Intune)., • Proven experience supporting macOS environments., • Familiarity with Microsoft Entra ID (formerly Azure AD), Microsoft 365, and Windows., • Experience with endpoint security tools (antivirus, antimalware, anti-phishing, DLP agents) and backup solutions., • Strong customer service orientation and attention to detail, providing a “white-glove” support experience., • Enjoys problem-solving and working in a dynamic, fast-changing environment., • Experience with IT ticketing systems (e.g., Freshservice, ManageEngine, ServiceNow, or similar)., • Knowledge of ITIL Service Desk best practices (ITIL v4 Foundation certification is a plus)., • Experience working in a regulated environment with strong confidentiality and data privacy standards., • Good understanding of and adherence to InfoSec guidelines and principles.

Developer Relations Lead Hybrid Permanent $180K - $240K + equity On behalf of a rapidly growing AI startup, I’m searching for a dynamic Developer Relations pro with deep technical expertise and a passion for community. Are you a developer / techie at heart but thrive in front of an audience? Do you get excited by the idea of scaling a developer ecosystem from the ground up? We're working with an innovative AI startup based in San Francisco that’s redefining how developers build with generative AI — and they’re looking for a Developer Relations Lead to join their mission. About the Company Our client is a well-funded, early-stage AI startup developing powerful tools that help developers build and deploy generative AI applications at scale. They’re at the intersection of cutting-edge research and real-world utility, with a team of world-class engineers and product leaders. They’re now looking to bring on someone who can lead the charge in building, engaging, and supporting their developer community. Responsibilities • Build and manage an authentic, engaged developer community around the company’s AI platform., • Create educational and inspiring content: technical blog posts, demos, sample apps, tutorials, videos, and more., • Represent the company at industry events, meetups, and conferences — both virtually and in person., • Build and nurture relationships across platforms like GitHub, Discord, Reddit, Twitter/X, and Stack Overflow., • Gather insights from developers and feed them back to the product and engineering teams., • Collaborate with marketing, product, and engineering to align messaging and strategy. If you're passionate about AI and want to play a foundational role in growing a vibrant developer ecosystem, we’d love to hear from you.

We’re looking for a Lead Data Engineer to spearhead the design, implementation, and iteration of a world-class, modern data infrastructure that powers analytics, data science, and ML/AI systems. You will be in the driver’s seat for a new function on the Engineering team and will help chart its future. This role is highly strategic, cross-functional, and hands-on. If you’re passionate about building 0→1 data platforms collaboratively and have experience scaling them at a rapidly growing startup, this role is for you. What you will do • Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization., • Partner closely with Data Science, Operations Analytics, Engineering, and Product on the design and implementation of scalable data pipelines, models, and solutions., • Drive the development of foundational data products and tools to power self-service analytics., • Actively contribute to and influence engineering processes, culture, practices, and systems., • Serve as a technical thought leader on data engineering best practices. About you • Strong technical foundation with the modern data engineering stack (dbt, PySpark, Fivetran, Snowflake, Lakehouse, CDPs, ETL tools, etc.)., • Advanced knowledge of SQL and Python., • Deep expertise in data pipelines, distributed systems, and analytics infrastructure., • Hands-on experience with data warehousing technologies, data lake architecture, and ETL pipelines/tools., • Deep understanding of BI tooling infrastructure and semantic layer design (e.g., Looker, Tableau, Metabase, Mode)., • Experience and interest in leading major architecture initiatives from the ground up., • Believer in applying best-in-class software engineering practices to data systems., • Interest in coaching/mentoring junior engineers. Bonus points • Experience building data products that meet HIPAA requirements., • Built platforms that support real-time and batch ML/AI products and systems., • Experience integrating EHR and other complex third-party system data. For more info or to apply please share your resume to .

🚀 Backend Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We’re looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You’ll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code — all while collaborating closely with the applied AI team. What You’ll Do • Design and build the core workflow engine — the orchestration layer connecting agents, data sources, and frontend views., • Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines., • Build and maintain integration layers for REST APIs, SQL sources, and third-party systems., • Collaborate with the applied AI engineering team to integrate automation and intelligence across systems., • Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience., • Strong experience with TypeScript, Node.js, and modern backend architectures., • Experience designing complex data models and managing asynchronous tasks/workflows., • Prior experience working in early-stage startups or high-growth environments., • Experience integrating multiple systems, including REST APIs and SQL sources., • Excited by building scalable systems and comfortable in a startup environment., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with Temporal or similar orchestration/workflow systems., • Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products., • Shape the architecture and direction of a high-impact backend system used across complex workflows., • Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Forward Deployed Engineer - YC | $150K - $225K + Equity | Onsite in SF We're partnering with a YC-backed startup that's reimagining a $100B+ legacy industry using LLMs, workflow automation, and applied AI. Fresh off their $8M seed round and already writing over $6M in annualized premiums across 35 states, they’re building a fully autonomous AI-native commercial insurance brokerage. They’ve built internal agent systems that already replace core brokerage workflows - form automation, carrier selection, and client comms - and they’re only just getting started. The vision? A self-scaling, infinitely efficient AI business that dominates a market still running on PDFs and fax machines. About the role: This is a unique chance to join as a Forward Deployed Engineer, working directly with clients to solve high-leverage problems using real-world AI systems. You’ll sit at the intersection of full-stack engineering, AI integration, and product delivery - shipping fast, owning outcomes, and iterating in tight feedback loops with founders. You'll own: • End-to-end delivery of AI-driven features for customers, • Translating vague specs into intelligent automation systems, • Deploying agentic workflows that drive revenue and efficiency, • Building products in Python, TypeScript, LangChain, Postgres, Supabase, AWS, etc. You might be a fit if: • You’ve worked in a startup or FDE-type role (0-1 builds, client-facing exposure), • You’re fluent in full-stack software and have shipped production LLM systems, • You can balance speed and precision, and you’re obsessed with outcomes, • You’re excited about applying AI to real-world workflows, not just model outputs Why join? • This isn’t just building tooling - it’s reinventing a massive, broken industry, • You’ll be one of the earliest engineers shaping the future of AI-native businesses, • High agency, fast pace, no fluff - just shipping value with serious upside This is a full-time, in-person role in San Francisco. Visa support is available for the right candidate. Interested? Drop us a message - we’ll share more about the role, team, and interview process.

Contract length 6 months Rate: $75 - $90/hr Overview A Linux on Z Engineer to support system administration, configuration, and compliance remediation across mainframe environment. The role focuses on Linux on Z, z/VM, and KVM hypervisor management, as well as integration with storage and SAN components. Responsibilities Administer and maintain Linux on Z, z/VM, and KVM environments running within IBM Z mainframes (z15, z16). Excellent collaboration and communication skills. Strong troubleshooting and scripting skills (Bash, Python, Ansible preferred). Understanding of compliance-driven IT environments and change control processes. Working knowledge of IBM DS8K / FlashSystem storage and Brocade SAN operations. Familiarity with KVM on RHEL, IBM HMC, and mainframe virtualization concepts. Proven experience with IBM Z (z15/z16) platforms, Linux on Z, and z/VM environments. Requirements 5+ years of experience as a Linux Systems Engineer or Mainframe Systems Administrator. Contribute to documentation, SOP updates, and control evidence collection. Perform root-cause analysis for issues impacting compliance or performance. Manage connectivity and configuration for DS8K / FlashSystem storage, HMC consoles, and Brocade SAN switches. Collaborate with Security Operations Engineer to plan and execute remediation tasks and document results. Support system hardening, access management, and performance tuning activities. Implement configuration, patching, and security remediation tasks aligned with ESS controls.

Trident Consulting is seeking a " React.js Developer " for one of our clients. " A global leader in business and technology services. Role: React.js Developer Location: Onsite – San Francisco, CA or San Ramon, CA Type: Contract Interview: In-person final interview required * Must Have Skills: Frontend Development (4–5 Years): • Strong coding experience in React.js, JavaScript (ES6+), HTML5, and CSS3, • Proficient in responsive UI/UX design and component architecture, • Hands-on experience with:, • Material-UI, Styled Components, Webpack, Rollup, Storybook, • React-Router-Dom (advanced knowledge: parent-child routing), • DOM manipulation and performance tuning, • Expertise in state management tools (Zustand, Redux, Context API) and custom hooks, • Experience with Azure Cloud services for frontend deployment, • Understanding of Module Federation and Micro Frontend architecture, • Knowledge of performance optimization for large-scale applications Non-Functional Requirements (NFR): • Strong understanding of Security, Performance, and Accessibility best practices Should Have: • Excellent communication and collaboration skills with global teams, • Good understanding of containerization (Docker) and application configuration, • Familiarity with caching strategies and optimization techniques Good to Have: • Experience with Next.js (SSR & SEO optimization), • Knowledge of DevExtreme DataGrid for large datasets and BI Dashboards, • Experience with ExcelJS for advanced data export functionality, • Hands-on experience in component library integration Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: ___. Some of our recent awards include: • Trailblazer Women Award 2025 by Consulate General of India in San Francisco, • Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe

You will work across machine learning, data engineering, and software development to build scalable, production-ready AI systems. Design, develop, and implement machine learning and AI models for various business needs. Build and maintain data pipelines and training workflows. Evaluate model performance and run experiments to improve accuracy, efficiency, and reliability. Deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring). Collaborate with data scientists, software engineers, and product teams to deliver AI-driven features. Strong experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Proficiency in Python and experience building production-grade ML code. Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes). Knowledge of data engineering practices, including data pipelines and ETL.

You’ll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and architectures., • Collect, process, and transform data from multiple sources into structured, usable formats., • Ensure data quality, reliability, and security across all systems., • Work with data analysts and data scientists to optimize data models for analytics and machine learning., • Implement ETL (Extract, Transform, Load) processes and automate workflows., • Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance., • Collaborate with cross-functional teams to define data requirements and integrate new data sources., • Maintain comprehensive documentation for data systems and processes. Requirements: • Proven experience as a Data Engineer, ETL Developer, or similar role., • Strong programming skills in Python, SQL, or Scala., • Experience with data pipeline tools (Airflow, dbt, Luigi, etc.)., • Familiarity with big data technologies (Spark, Hadoop, Kafka, etc.)., • Hands-on experience with cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks)., • Understanding of data modeling, warehousing, and schema design., • Solid knowledge of database systems (PostgreSQL, MySQL, NoSQL)., • Strong analytical and problem-solving skills.

ABOUT MITHRL We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are the fastest growing tech-bio startup in the Bay Area with over 12X YoY revenue growth. Our platform is already being used by teams at some of the largest biotechs and big pharma across three continents to accelerate and uncover breakthroughs—from target discovery to mechanism of action. WHAT YOU WILL DO Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines. Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data. Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform. Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems. WHAT YOU BRING Must-have • 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data., • Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar)., • Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures., • Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data., • Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning., • Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability., • Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions. Nice-to-have • Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs)., • Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions., • Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion., • Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically., • Any background in computational biology / lab-data / bioinformatics is a bonus — though not required. WHAT YOU WILL LOVE AT MITHRL • Mission-driven impact: you’ll be the gatekeeper of data quality — ensuring that all scientific data entering Mithrl becomes clean, consistent, and analysis-ready. You’ll have outsized influence over the reliability and trustworthiness of our entire data + AI stack., • High ownership & autonomy: this role is yours to shape. You decide how ingestion works, define the standards, build the pipelines. You’ll work closely with our product, data science, and infrastructure teams — shaping how data is ingested, stored, and exposed to end users or AI agents., • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders, • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution, • Speed: We ship fast (2x/week) and improve continuously based on real user feedback, • Location: Beautiful SF office with a high-energy, in-person culture, • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Senior Backend Developer - Python $130,000 - $200,000 San Francisco, CA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

Software Engineer – Perception | Los Angeles / San Francisco EVONA is partnering with a pioneering aerospace company developing a new generation of autonomous spacecraft systems. Their mission is to build advanced autonomy and perception pipelines that allow satellites to detect, classify, and understand objects in orbit in real time. This is a rare opportunity to join as one of the first US software hires, giving you direct impact on a high-profile space program while shaping the growth of the US software team. What You’ll Do • Develop and optimise computer vision & ML algorithms for real-time object detection and characterisation, • Integrate perception models into onboard flight computers and autonomy pipelines, • Build sensor models, digital twins, and simulation tools for training and validation, • Collaborate with international engineering teams while helping expand the US presence, • Contribute across a small, fast-moving team tackling complex, mission-critical challenges What We’re Looking For • Strong software engineering skills in C++ and Python, • Must of worked on Real Time Operating Systems (RTOS), • Experience with computer vision, ML frameworks (PyTorch, TensorFlow), and CUDA acceleration, • Background in real-time/embedded systems, edge computing, or robotics, • Hands-on experience with perception systems in autonomy, drones, robotics, AR/VR, or self-driving vehicles, • Minimum 2 years’ experience (open to junior through senior levels), • Space industry experience not required - we’re seeking autonomy and perception engineers who thrive on solving complex, real-world problems Why Join • Impact: Apply your autonomy expertise to one of the most exciting frontiers of engineering, • Ownership: Join as one of the first 3 US hires, shaping both technology and team direction, • Growth: Help build a US team that will scale significantly in the next phase Compensation & Benefits: • $150,000 – $180,000+ depending on level, • Equity participation, • Full medical, dental, and vision coverage, • 401(k) with company match, • Flexible PTO and paid leave Location & Requirements • Los Angeles or San Francisco, • Must be US Citizen, Green Card holder, or ITAR-eligible For more information, contact Ciara Holmes at EVONA or apply now to take your autonomy career to the next frontier.

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are one of the fastest growing tech bio companies in the Bay Area with 12x year over year revenue growth. Our platform is used across three continents by leading biotechs and big pharmas. We power breakthroughs from early target discovery to mechanism-of-action. And we are just getting started. ABOUT THE ROLE We are hiring a Data Engineer, Knowledge Graphs to build the infrastructure that powers Mithrl’s biological knowledge layer. You will partner closely with the Data Scientist, Knowledge Graphs to take curated knowledge sources and transform them into scalable, reliable, production ready systems that serve the entire platform. Your work includes building ETL pipelines for large biological datasets, designing schemas and storage models for graph structured data, and creating the API surfaces that allow ML engineers, application teams, and the AI Co-Scientist to query and use the knowledge graph efficiently. You will also own the reliability, performance, and versioning of knowledge graph infrastructure across releases. This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and scalable infrastructure, this is an opportunity to have deep impact on the intelligence layer of Mithrl. WHAT YOU WILL DO • Build and maintain ETL pipelines for large public biological datasets and curated knowledge sources, • Design, implement, and evolve schemas and storage models for graph structured biological data, • Create efficient APIs and query surfaces that allow internal teams and AI systems to retrieve nodes, relationships, pathways, annotations, and graph analytics, • Partner closely with the Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontology mappings, • Build data models that support multi tenant access, versioning, and reproducibility across releases, • Implement scalable storage and indexing strategies for high volume graph data, • Maintain data quality, validate data integrity, and build monitoring around ingestion and usage, • Work with ML engineers and application teams to ensure the knowledge graph infrastructure supports downstream reasoning, analysis, and discovery applications, • Support data warehousing, documentation, and API reliability, • Ensure performance, reliability, and uptime for knowledge graph services WHAT YOU BRING Required Qualifications • Strong experience as a data engineer or backend engineer working with data intensive systems, • Experience building ETL or ELT pipelines for large structured or semi structured datasets, • Strong understanding of database design, schema modeling, and data architecture, • Experience with graph data models or willingness to learn graph storage concepts, • Proficiency in Python or similar languages for data engineering, • Experience designing and maintaining APIs for data access, • Understanding of versioning, provenance, validation, and reproducibility in data systems, • Experience with cloud infrastructure and modern data stack tools, • Strong communication skills and ability to work closely with scientific and engineering teams Nice to Have • Experience with graph databases or graph query languages, • Experience with biological or chemical data sources, • Familiarity with ontologies, controlled vocabularies, and metadata standards, • Experience with data warehousing and analytical storage formats, • Previous work in a tech bio company or scientific platform environment WHAT YOU WILL LOVE AT MITHRL • You will build the core infrastructure that makes the biological knowledge graph fast, reliable, and usable, • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders, • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution, • Speed: We ship fast (2x/week) and improve continuously based on real user feedback, • Location: Beautiful SF office with a high-energy, in-person culture, • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Agent Systems Engineer - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows. What Will I Be Doing: • Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks., • Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use., • Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior., • Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains. What We're Looking For: • Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks., • Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution., • Ability to reason about system-level failure modes, edge cases, and safe tool interaction., • Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment., • Above all, we’re looking for candidates who demonstrate world-class excellence. What’s in It for Me • $200k - $300k dependent on experience and meaningful equity, • The chance to build foundational agentic infrastructure for physical AI, • Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs, • A role at the core of a rapidly growing, deeply technical team, • The opportunity to define how AI interacts with the physical world Apply now for immediate consideration!

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Position Summary: We are seeking an experienced Physical Security Systems Contractor to provide break-fix support for our enterprise security infrastructure. This role will focus on troubleshooting and resolving issues reported by our Global Security Operations Center (GSOC) team through our Jira ticketing system. The contractor will work on-site in San Francisco with cutting-edge security technologies and coordinate with field integrators to ensure rapid resolution of critical security system issues. Key Responsibilities: Monitor and respond to break-fix tickets in Jira submitted by GSOC team during business hours Perform troubleshooting and diagnostics on physical security systems including: Access Control Systems Video Management Systems (VMS) Visitor Management Systems Network-connected security devices Analyze device and network connectivity issues using system logs and diagnostic tools Determine root cause of system failures and implement software-based solutions when possible Coordinate with field integrators when hardware replacement or on-site intervention is required Provide clear dispatch instructions and technical guidance to integrators Ensure proper resolution validation before integrator departure from site Maintain detailed documentation of troubleshooting steps and resolutions in Jira Escalate complex issues to appropriate vendor support channels when necessary Participate in post-incident reviews to identify preventive measures Required Technology Experience: Video Management: Axis cameras and video solutions, Genetec Security Center VMS, Sureview immersive video management Access Control: Wayvelinx cloud-based access control systems AI/Analytics: Alcatraz.ai facial authentication, Ambient.ai computer vision analytics Network troubleshooting for IP-based security devices Enterprise security system architecture and integration Required Qualifications: Minimum 5 years of hands-on experience with enterprise physical security systems Strong experience with IP networking, VLANs, and network troubleshooting Proficiency with Jira or similar ticketing systems Experience coordinating with field technicians and integrators Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work independently and manage multiple concurrent issues Must be able to work on-site in San Francisco during standard business hours Reliable transportation to San Francisco location Preferred Qualifications: Industry certifications (e.g., Genetec, Axis, networking certifications) Experience with enterprise-scale deployments Knowledge of cybersecurity best practices for physical security systems Previous GSOC or NOC experience Experience with vendor escalation processes Bay Area experience preferred Key Performance Metrics: Average ticket resolution time First-call resolution rate Customer satisfaction scores from GSOC team Successful integrator dispatch coordination rate Working Conditions: Full-time on-site presence required at San Francisco location Standard business hours: 8:00 AM - 5:00 PM, Monday through Friday Occasional flexibility may be required for critical system issues Professional office environment Compensation Estimated Pay Range: 75K-85K Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Director of Product, Fraud and Risk GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We’re looking for a Director of Product to lead the fraud and risk function for our consumer products. This is a high-impact IC role today, responsible for architecting the systems, controls, and decisioning that protect our credit products, consumer payments, and homeowner experiences while maintaining a seamless, high-conversion user journey. You’ll own the strategy and the execution, bringing clarity to complex fraud and risk challenges. You’ll align partners around the right signals and defenses, and personally driving the roadmap that materially reduces losses. As the business grows, this function will expand, and this leader will play a critical role in shaping how the team and capabilities scale. The ideal candidate brings systems-level thinking, hands-on rigor, and the ability to operate at director-level altitude while still executing with precision in a fast-moving fintech environment. Essential Job Duties & Responsibilities: • Set and drive the end-to-end fraud and risk product strategy across credit products, consumer payments, and the homeowner app, delivering strong protection without compromising experience., • Own the roadmap for fraud detection and risk scoring systems, and partner closely with Engineering and Data Science to advance models, rules, and real-time defenses., • Partner with Security to strengthen identity and account integrity, shaping product-side risk controls (KYC/KYB, device intelligence, behavioral signals) that mitigate synthetic IDs, ATO, and mule activity., • Lead the strategy to prevent fraud-driven disputes and chargebacks by strengthening upstream controls, improving decisioning logic, and reducing opportunities for abuse before they reach Operations., • Analyze fraud patterns, model performance, losses, and false positives, and make sharp, data-driven decisions that reduce fraud while preserving customer experience., • Manage key vendor relationships and evaluate new technologies, signals, and platforms that can strengthen our fraud and risk defenses., • Collaborate with Compliance and Legal to ensure fraud and risk systems meet regulatory requirements and are audit-ready., • Communicate risks, trends, and mitigation plans to senior leadership with clarity, urgency, and high signal. Required Skills, Knowledge & Abilities: • 10+ years of fraud, risk, identity, or trust & safety product experience in fintech, banking, lending, payments, or consumer finance., • Proven success designing fraud/risk systems, working with DS/ML teams, and shipping high-impact risk products at scale., • Deep understanding of fraud vectors (ATO, synthetic identities, mule accounts, friendly fraud, credit abuse, chargebacks)., • Experience with KYC/AML, sanctions, adverse media, dispute regulations, and compliance alignment., • Strong analytical abilities, fluent with metrics, funnels, decision trees, and interpreting model outputs., • Ability to lead teams, influence senior stakeholders, and make crisp tradeoffs between risk mitigation and growth., • High-signal communication: clear, structured, authoritative. $230,000 - $260,000 a year In addition to the above salary, this role may be eligible for a bonus and equity.

We’re hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You’ll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You’ll Do • Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults., • Build and maintain data pipelines for ingestion, transformation, and model training., • Partner with AI/ML teams to deploy and monitor inference and evaluation services in production., • Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads., • Own CI/CD workflows and environment hygiene using GitHub Actions or similar., • Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response)., • Drive cost-efficient scaling while maintaining performance and uptime across systems., • 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership., • Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation)., • Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML)., • Proven experience with containers and orchestration (Docker, Kubernetes, or ECS)., • Hands-on experience designing and maintaining data pipelines (batch or streaming)., • PostgreSQL at scale, ideally with exposure to embeddings or pgvector., • Strong observability and on-call practices (metrics, tracing, alerting, incident management)., • Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs., • Experience supporting ML model training and inference pipelines., • Prior work with low-latency systems, voice interfaces, or recommendation engines. You’ll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

🚀 Hiring: Infrastructure Engineer | SF (Onsite Only) Chalk is building the data platform powering next-gen machine learning applications — eliminating the complexity and scale issues that hold teams back. Backed by a recent $50M Series A, we’re growing fast and looking for an exceptional Infrastructure/Platform Engineer to join us onsite in San Francisco. What you’ll do: • Build automation + orchestration for Chalk’s ML data platform, • Develop infra tooling across AWS/GCP using Python, Go, Terraform, • Own deployments both in our hosted platform and customer cloud environments, • Work across Compilers, DBMS, and distributed systems challenges, • Contribute as an early engineer with high autonomy and impact What we’re looking for: • 2+ years in infra engineering, • Strong experience coding for infra automation, • Python, Go, or Terraform proficiency, • AWS or GCP hands-on experience, • Strong collaboration skills — bonus if you’ve worked with customers or Sales teams Why Chalk? • High-growth startup, massive ownership, • Competitive salary + generous equity, • Fully stocked office, daily meals, strong benefits, • 15 PTO days + 15 company holidays 🎄, • In-office culture (Mon–Fri) If you’re excited about building the backbone of ML-driven systems at scale, let’s talk! 🚀

Engagement Manager – Decision Science Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit ___ for more information about Fractal. Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team in the Bay Area, CA. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge GenAI, Data Science, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values i.e. someone who is humble, hungry and smart. Key Responsibilities • Serve as the primary point of contact for senior client stakeholders as strategic partner., • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes., • Proactively innovate solutions leveraging decision science, behavioral insights, and emerging AI capabilities., • Foster collaboration across multi-disciplinary teams and drive delivery excellence., • Identify opportunities to deepen client relationships and expand engagement scope., • Contribute to thought leadership and practice growth initiatives. Core Requirements (Must Have) • 10-14 years of experience in analytics consulting or decision science leadership roles., • Proven ability to manage senior client relationships and deliver complex programs., • Strong problem-solving mindset with first-principles thinking., • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields, • Excellent communication and team leadership skills; ability to mentor and build high-performing teams., • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach. Preferred Skills (Good to Have) • Familiarity with SQL and Python for problem-solving (hands-on)., • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix, • Exposure to project management frameworks e.g. agile, waterfall, scrum, • Exposure to product management concepts e.g. PRD, backlog grooming, user stories, • Experience in digital analytics, experimentation, and data-driven decision-making., • Understanding of Adobe Analytics concepts and digital data structures., • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting)., • Interest in emerging GenAI applications and trends. Location Bay Area, CA (onsite ~3 days/week) Equal Opportunity Employer 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. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 to $185,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Job Title: Senior Software Engineer (Full-Stack) Employment Type: Full-time Salary: $175K – $250K per annum Location: San Francisco (Hybrid, 2 days/week) Start Date: ASAP Visa: No H1B sponsorship available About Client: Our client is a Series A start up, growing quickly as they onboard new customers and scale platform, using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we’ve built technology that is able to harness this data to help make better lending decisions. We’ve coupled this underwriting agent with advanced document and identity anti-fraud, and we’re working toward democratizing sophisticated consumer underwriting for all. About the Role Seeking a Staff Software Engineer with 7–8+ years of experience to lead the re-architecture of our core platform as we scale rapidly. After two years of fast-paced product development, our system has grown into a collection of disparate services, and we need a senior IC to unify, rebuild, and streamline the foundation. This role reports directly to the CTO and plays a critical part in shaping the technical future of the company. What We’re Looking For • 7–8+ years of professional experience as a strong individual contributor., • Deep expertise in systems design, architectural refactoring, and scaling codebases beyond the “fast startup” phase., • Experience at a high-growth startup (Seed → Series B/C) where engineering teams expanded meaningfully., • Strong full-stack or backend skills (Typescript, React, Node.js, Python preferred)., • Ability to navigate ambiguity, make sound technical decisions with incomplete context, and iterate quickly., • Frontend: Typescript, React, • Backend: Node.js, Python, • Databases: Postgres, BigQuery, Redis, • Cloud: GCP Seniority & Experience • 7+ years in full-stack software engineering (backend-leaning)., • Experience leading technical projects, refactoring code, and re-architecting systems., • History of progression or promotions within startup roles (e.g., to Staff/Principal level). Education • CS degree from a top 20 school What You’ll Do Architect & Rebuild the Core System • Re-architect major parts of the existing platform into a cleaner, scalable, and more maintainable system., • Refactor or remove unnecessary code to create a cohesive architecture., • Drive high-level technical decisions across backend and full-stack systems., • Collaborate with the CTO to define long-term technical direction., • Work with senior and junior engineers to implement new features and improve systems., • Lead system architecture for new workflows, including real-time ID, income, and document verification., • Integrate and maintain in-house ML models used for fraud detection and financial document understanding., • Improve the technical foundation powering our 70%+ automated approval/denial workflow. Why Join This is a rare opportunity to join a fast-scaling Series A company with real customers and traction. You’ll act as the technical adult in the room, refactoring, simplifying, and shaping the long-term architecture while influencing major product decisions. You will have a direct impact on the company’s core systems and help define the foundation for future growth.

Top Requirements (Must haves) • 6–8 years of experience in product management, preferably with gifting domain knowledge from similar ecommerce brands, • Even aggregators of registry (i.e. Babylist, Zola) would be interesting, • Proven ability to define and execute product strategy and roadmap for complex, omnichannel experiences (digital, mobile, and in-store)., • Strong expertise in customer journey mapping and experience optimization, with a focus on engagement, conversion, and retention., • Hands-on experience with data-driven decision-making, including analytics, A/B testing, and KPI tracking for product performance., • Experience working in cross-functional environments, partnering with engineering, marketing, merchandising, store operations, and customer care., • Strong technical fluency — ability to translate business goals into clear product requirements and work closely with engineering teams on implementation., • Excellent communication and stakeholder management skills, with experience influencing senior leadership and aligning multiple brands under a unified vision., • Demonstrated ability to drive innovation in lean, fast-paced environments, balancing short-term improvements with long-term platform modernization., • Strong project management skills, including roadmap planning, prioritization, and delivery under tight timelines., • Bachelor’s degree in Business, Computer Science, Engineering, or related field; MBA or advanced degree is a plus.