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Job DescriptionAbout Nood At Nood, we are redefining the body care category by delivering clinical-level results at home. With over 1 million customers and counting, our flagship IPL devices – including the best-selling Flasher Pro™ – have set a new standard for beauty tech, driving rapid DTC growth and nationwide retail expansion. We believe in the power of technology, creativity, and disciplined execution to make high-performance beauty accessible, build lasting confidence, and shape the future of self-care. Role Overview We’re looking for a strategic, analytical, and operationally minded Head of Finance & Strategy to serve as a trusted thought partner to the CEO and organization. This hybrid role will sit at the center of financial planning, strategic decision-making, and business operations, driving clarity, focus, and disciplined execution across the organization. You will own the company’s financial model, close and forecast process, management reporting, and cash flow planning. You’ll be accountable for delivering accurate, timely insights, enforcing process discipline, and driving alignment across teams – ensuring the business scales with foresight and operational rigor. This is an ideal role for someone with a corporate finance, investment banking, private equity, or management consulting background who thrives in ambiguity but also has the precision and discipline to operate financial processes end-to-end. What You’ll Do Financial Leadership • Own company-wide forecasting, budgeting, and performance tracking., • Own the full month-end close and reconciliation process, ensuring reconciled financials and a management presentation are completed by the 15th of each month, • Maintain and continuously improve a three-statement financial model and rolling 90-day forecast, managed in Google Sheets to ensure transparency and usability for all key executives., • Deliver executive-ready management reporting (P&L, balance sheet, cash flow, actuals vs. forecast, Opex variances, solvency metrics)., • Partner with functional leads (Marketing, Ops, Amazon, Retail) to validate assumptions, reconcile variances, and translate data into actionable insights., • Own COGS reconciliation at SKU and channel level, ensuring landed cost accuracy and alignment with Ops inputs each month., • Partner with the CEO on business model evolution, capital strategy, and special projects., • Lead ad hoc analyses to inform high-impact decisions (retail expansion, pricing strategy, new product investment)., • Collaborate with leadership on financing strategies, from debt facilities to equity raises, providing proactive recommendations and execution support., • Run a weekly finance meeting (30–45 minutes) to review AP schedule, cash flow visibility, and departmental support needs. Role Expectations • Proactivity: You own the finance function end-to-end. You surface risks first (cash flow, tracking issues, reporting gaps) and bring solutions – not problems – to the table., • Accountability: You are responsible for reconciled financials, management reporting, and forecasts delivered on time and with accuracy, proactively surfacing and explaining variances with a <10% tolerance versus daily trackers., • Communication: You ensure proactive updates via Slack and meetings, giving full visibility into financial timelines, risks, and deliverables., • Collaboration: You minimize lift for non-finance stakeholders by delivering first drafts (variance commentary, forecast assumptions) for validation, not creation., • 6 – 10 years of experience in finance at a fast-paced startup (preferably consumer, DTC, or eCommerce), private equity, or investment banking., • Exceptional financial modeling and business analytics skills., • Confident operator who can turn strategic thinking into concrete execution., • Comfortable enforcing process discipline – structured closes, forecast reviews, reconciliations, and reporting deadlines., • Clear communicator who can align stakeholders and drive accountability., • Obsessed with clarity, efficiency, and structured thinking. Benefits • Join a rocket-ship omni-channel brand redefining clinical beauty at home, • Lead the finance and strategy function driving our growth, • Work with a mission-driven team and make an impact on millions of customers, • Competitive salary with potential bonus and equity compensation, • Top tier medical insurance/benefits At Nood, we believe that to build the best team, our baseline is an environment where everyone can bring their full & authentic selves to the table. We are committed to fair hiring practices where we hire team members for their potential & advocate for diversity, equity, & inclusion. We do not discriminate based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. Compensation: Up to $180,000 commensurate with experience

Job DescriptionAbout the Client Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety. About the Role The company is looking for a skilled Analytics Engineer to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams. Responsibilities * Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency. * Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model. * Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources. * Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources. * Apply CI/CD and version control best practices within analytics codebases. * Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners. Requirements Required: * At least 3 years of experience in analytics or data engineering. * Strong proficiency with SQL and dbt. * Bachelor's degree in a technical or quantitative field. * Hands-on experience with cloud platforms (especially Snowflake and/or AWS). * Competency in Python for data wrangling and feature generation. * Familiarity with AI/ML workflows and deployment pipelines. * Commitment to clean, modular, and well-documented code using software engineering best practices. * Comfort working in a dynamic, fast-paced startup setting. * Clear communication skills and the ability to advocate for robust data practices. * Passion for advancing healthcare through trustworthy and scalable data infrastructure. Preferred: * Experience with healthcare data standards such as HL7, FHIR, or DICOM. * Background in academic medical research. * Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries. * Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines. Benefits & Why Join * Competitive compensation package: base salary in the $145K–$155K range plus equity. * Opportunity to work at the forefront of AI and healthcare innovation. * Collaborative and mission-driven team environment. * Flexibility to work remotely or from the company’s office in New York. * A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job Description Technical PM, AI Research SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt. We are currently looking for a rare combination of research brilliance and pragmatic engineering, someone who can transform cutting-edge computer vision and NLP research into high-assurance AI systems for regulatory compliance and identity verification. As the founding member of SEON's AI Innovation team, you'll drive a research agenda that reimagines how document authentication, identity verification, and AML screening work in production environments. Your solutions will need to meet the exacting standards of financial regulators while delivering tangible advantages in accuracy, explainability, and cost-effectiveness over legacy systems. This is an opportunity to build something from first principles. You'll work directly with C-level executives to shape our AI strategy, develop production-ready prototypes, and establish our technical approach to high-stakes decision systems in a regulated environment. Success means creating solutions that can be validated with mathematical rigor, deployed into production environments, and serve as the foundation for SEON's next generation of AI-powered fraud prevention products. This is a Hybrid role and will be based out of our Austin office. WHAT YOU’LL DO: • Design and implement advanced architectures for document understanding that can extract, normalize, and verify complex identity data from diverse document types, • Create novel solutions for AML name screening that incorporate context-aware matching, transliteration handling, and explainable decision frameworks, • Develop evaluation methodologies that rigorously benchmark new approaches against both academic standards and real-world performance metrics, • Design sophisticated AI interaction architectures that optimize model performance across document analysis and fraud prevention systems, • Build systematic frameworks for collecting and analyzing model performance data to guide continuous improvement cycles, • Architect end-to-end systems for document analysis that combine computer vision, OCR, and structured information extraction with robust verification logic, • Build high-assurance systems with appropriate guardrails, confidence scoring, and formal verification methods, • Develop APIs and integration patterns that allow seamless incorporation of AI capabilities into SEON's broader platform, • Create comprehensive evaluation suites for measuring model accuracy, fairness, and reliability against established benchmarks, • Establish methodologies for training, fine-tuning, and continuously improving AI models with domain-specific data, • Evaluate emerging research, tools, and platforms from major cloud providers and research institutions, • Develop product-focused neural reasoning frameworks that balance performance with explainability requirements, • Create innovative evaluation methodologies that validate AI systems against both technical and business metrics, • Partner with product management to translate research innovations into market-ready capabilities, • Collaborate with compliance and legal teams to ensure AI systems meet regulatory requirements for explainability and audibility, • Build relationships with academic researchers and industry partners to accelerate innovation, • Mentor and guide engineers as the Austin AI Innovation team grows WHAT YOU’ll BRING: • Deep expertise in computer vision, particularly document understanding, OCR, and information extraction, • Strong understanding of modern NLP techniques, especially those applicable to entity recognition, name matching, and contextual understanding, • Experience designing and implementing high-assurance AI systems with appropriate verification, validation, and explainability, • Demonstrated ability to translate research into working prototypes and production systems, • Expertise in LLM behavior engineering for large language models and multimodal AI systems, • Demonstrated ability to design and implement effective evaluation frameworks for AI models, • Experience with systematically improving AI model performance through iterative testing and refinement, • Applied Research experience in Computer Science, Electrical Engineering, or related field, • Publication record in relevant research areas is a plus, • Entrepreneurial mindset with the ability to operate independently and build from first principles, • Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical audiences (AMAZING IF YOU ALSO HAVE): • Experience working on regulated applications of AI, particularly in fintech, identity verification, or compliance, • Knowledge of formal verification techniques for AI and machine learning systems, • Familiarity with challenges specific to identity documents, including cross-lingual processing, security feature verification, and fraud detection, • Track record of building applications that balance performance with interpretability requirements, • Experience with hybrid architectures that combine knowledge bases with learned capabilities, • Product management experience with AI-powered solutions in enterprise environments

Job DescriptionTechnical Product Manager – AI & Data Applications Location: Remote or Hybrid (Austin Preferred) About Us Brij is a venture-backed, high-growth software startup based in NYC. Our AI-powered platform helps omnichannel consumer brands gain valuable data to "bridge" online and offline audiences and drive revenue across every touchpoint. Our tools—including warranty registration, sweepstakes, and rebates—empower brands to connect with their consumers wherever they shop. We’re trusted by some of the best brands in the world—Heineken, Feastables, Momofuku, Health-Ade, Skullcandy, and Gozney. We’re a lean, diverse, and ambitious team with a bias toward action and extreme ownership. Customer obsession drives everything we do, and we’re building the future of omnichannel commerce. The Role We’re looking for a Senior Technical Product Manager – AI & Data Applications who thrives on solving complex technical challenges and shipping scalable, intuitive solutions. In this role, you’ll own the sprint and roadmap systems that power Brij’s AI and data-driven products, leading the full lifecycle from feature request triage to GA release. You’ll work across engineering, design, and go-to-market teams to translate business goals into technical solutions—driving everything from AI-powered data infrastructure to customer-facing experiences. This role is perfect for someone with a strong engineering background, deep product sense, and passion for building at the intersection of AI, data, and commerce. What You’ll Do Roadmap & Sprint Management • Manage end-to-end sprint and roadmap systems/software, ensuring alignment to company goals., • Lead feature request triage and feedback to prioritize high-impact work., • For accepted features, lead research and translate requirements into PRDs and final designs., • Partner with engineering on architecture, performance, and infrastructure decisions supporting AI and data initiatives., • Manage GA release planning, create user guides and onboarding flows in Pendo, and support smooth rollouts., • Define and monitor product metrics and KPIs—from AI model performance to data accuracy and platform reliability., • Build frameworks for experimentation, user feedback, and iterative improvement., • Own and evolve the technical product strategy for AI and data applications, turning large datasets into actionable customer insights., • 5+ years of product management experience, ideally in B2B SaaS or platform-based businesses, • Strong technical foundation—CS/engineering degree or hands-on software engineering experience preferred, • Deep understanding of APIs, data pipelines, system architecture, and cloud infrastructure, • Experience building or integrating AI- and data-centric products; familiarity with machine learning and analytics platforms is a strong plus, • Skilled at agile product management, sprint planning, and tools like JIRA, Linear, or Asana, • Exceptional communicator able to bridge technical and business teams and bring clarity to complex projects, • Highly organized and detail-oriented, with a bias toward action, iteration, and user-centric problem solvingWhy Join Us, • Impact: Build and scale the AI and data backbone of a fast-growing SaaS platform used by top global brands, • Growth: Work directly with Brij’s founders, engineers, and product leaders on cutting-edge AI/data initiatives, • Flexibility: Remote-friendly with Austin or NYC hybrid options QfW11zx9gV

Job Description Sr. Salesforce Product Manager, Service POSITION SUMMARY We are seeking a strategic Senior Salesforce Product Manager to drive the product vision, roadmap, and execution of our Salesforce platform initiatives while championing user-centric design and data-driven decision making. This role combines deep product management expertise with Salesforce platform knowledge, business analysis, and stakeholder management responsibilities. The ideal candidate will serve as both a product strategist and execution leader, ensuring our Salesforce solutions deliver maximum business value while driving user adoption and satisfaction across the organization. PRIMARY RESPONSIBILITIES Product Strategy & Roadmap Management (35%) • Define and own the comprehensive Salesforce product vision, strategy, and multi-year roadmap aligned with business objectives, • Conduct market research, competitive analysis, and user needs assessment to identify product opportunities and innovation areas, • Collaborate with executive leadership to translate business strategy into actionable product initiatives and feature requirements, • Prioritize product backlog and feature development based on business value, user impact, technical feasibility, and ROI analysis, • Establish product success metrics, KPIs, and measurement frameworks to track product performance and user satisfaction, • Drive product discovery sessions and ideation workshops with cross-functional teams and stakeholders, • Manage product portfolio decisions including feature sunset, platform consolidation, and technology investment priorities Requirements Management & Business Analysis (25%) • Lead comprehensive requirements gathering sessions with business stakeholders, subject matter experts, and end users, • Translate complex business needs into detailed functional requirements, user stories, and acceptance criteria, • Conduct thorough business process analysis and workflow optimization to maximize Salesforce platform value, • Partner with solution architects to ensure technical feasibility and optimal implementation approaches for product features, • Create and maintain detailed product specifications, wireframes, and process flow documentation, • Facilitate requirements validation sessions and user acceptance testing coordination, • Manage scope changes, requirements traceability, and impact analysis throughout product development lifecycle Stakeholder Management & Communication (20%) • Serve as primary product liaison between business units, technical teams, and executive leadership, • Conduct regular stakeholder updates, product demos, and executive presentations on product progress and outcomes, • Manage stakeholder expectations through transparent communication of timelines, dependencies, and delivery commitments, • Facilitate cross-functional collaboration between development, QA, operations, and business teams, • Lead product steering committee meetings and strategic planning sessions, • Build strong relationships with key business champions and power users to drive product advocacy, • Coordinate with external vendors and third-party solution providers for integrated product offerings User Experience & Adoption (10%) • Champion user-centric design principles and advocate for optimal user experience across all product touchpoints, • Conduct user research, usability testing, and feedback collection to inform product design and enhancement decisions, • Partner with UX/UI teams to create intuitive, efficient, and engaging user interfaces within Salesforce platform constraints, • Design and implement user adoption strategies including training programs, change management, and support documentation, • Monitor user engagement metrics, adoption rates, and satisfaction scores to identify improvement opportunities, • Lead user feedback collection initiatives and product advisory board sessions, • Develop user personas and journey mapping to guide product development priorities Product Delivery & Performance (10%) • Work closely with development teams using agile methodologies to ensure timely and quality product delivery, • Monitor product development progress, identify risks, and implement mitigation strategies to meet delivery commitments, • Coordinate product launches including rollout planning, communication strategies, and success measurement, • Analyze product performance data, user behavior analytics, and business impact metrics to inform future product decisions, • Manage product backlog grooming, sprint planning participation, and continuous improvement initiatives, • Oversee quality assurance processes and user acceptance testing for product releases, • Drive post-launch product optimization and iterative enhancement based on performance data and user feedback QUALIFICATIONS Required • Bachelor's degree in Business Administration, Computer Science, Information Technology, or related field, • 8+ years of product management experience with at least 4 years focused on Salesforce or CRM platforms, • Strong background in Service Cloud, Sales Cloud, or other core Salesforce product areas, • Proven experience in requirements gathering, business analysis, and stakeholder management, • Experience with agile product development methodologies and cross-functional team collaboration, • Excellent analytical skills with experience in data-driven product decision making, • Outstanding communication and presentation skills for executive and technical audiences, • Experience with product analytics tools and performance measurement frameworks Preferred • Master's degree in Business Administration (MBA) or related advanced degree, • Salesforce certifications including Platform App Builder, Administrator, or Product Specific Consultant certifications, • Product Management certification (CPM, AIPMM) or equivalent professional credential, • Previous experience in consulting, client-facing, or customer success roles, • Background in user experience design, market research, or business intelligence, • Experience with Salesforce ecosystem tools including AppExchange, Lightning Platform, and integration technologies, • Knowledge of emerging technologies and their application to Salesforce platform evolution KNOWLEDGE, SKILLS, AND ABILITIES Product Management Expertise • Deep understanding of product management principles including product discovery, validation, and go-to-market strategies, • Strong analytical and problem-solving skills with ability to synthesize complex business requirements into actionable product features, • Experience with product roadmapping, prioritization frameworks (RICE, Value vs. Effort), and backlog management, • Knowledge of user-centered design principles, usability best practices, and customer journey optimization, • Ability to balance competing priorities and make data-driven decisions in fast-paced, resource-constrained environments, • Understanding of product lifecycle management from concept through retirement Salesforce Platform Knowledge • Comprehensive understanding of Salesforce platform capabilities including declarative development, custom objects, and workflow automation, • Knowledge of Salesforce integration patterns, APIs, and third-party application ecosystem, • Understanding of Salesforce data model, security framework, and scalability considerations, • Familiarity with Salesforce release cycles, feature development process, and platform roadmap, • Experience with Salesforce reporting, dashboards, and analytics for product performance measurement, • Knowledge of Salesforce best practices for user adoption, change management, and organizational transformation Business Analysis and Communication • Excellent requirements elicitation skills including stakeholder interviews, workshops, and process analysis, • Strong documentation skills for creating user stories, acceptance criteria, and functional specifications, • Ability to translate technical concepts for business audiences and business needs for technical teams, • Experience in process improvement, workflow optimization, and business case development, • Skills in data analysis, reporting, and visualization for product performance measurement, • Proven ability to influence without authority and drive consensus among diverse stakeholders Leadership and Strategic Thinking • Strategic thinking skills with ability to balance long-term product vision with immediate tactical needs, • Experience leading cross-functional teams and managing complex stakeholder relationships, • Strong leadership presence with ability to drive product decisions and resolve competing priorities, • Innovation mindset with focus on emerging trends, competitive landscape, and market opportunities, • Ability to work effectively in matrix organizations and collaborate across multiple business units Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionOur client is a high-growth organization in the property management technology space. Their fully integrated ERP system enables them to automate workflows and unlock valuable real estate data related to all things property management. They are employee-owned, with an incredible culture and a leadership team made up of rockstars culled from both VCs and household name tech companies. They are seeking a Principal Product Manager to unite the core modules of their system into a solitary AI-powered suite for institutional real estate operating companies. The ideal candidate will have a strong background in B2B SaaS product management with experience juggling at least three modules/product lines with enterprise scope. This opportunity comes with major career acceleration potential and will most likely evolve into a Director-level role over time. This is a remote role, and candidates may be located anywhere in the United States. Responsibilities: • Serve as Product Management team lead, overseeing a group of 3-5 talent PM/SPMs – overseeing, mentoring, and developing the product function within the company, • Map out end-to-end workflows and personal journeys to be utilized by real estate operators such as accountants, field technicians, and property managers, closing any friction gaps that span multiple modules, • Design and oversee the horizontal services roles and permissions consumed by each product line, including audit log, reporting, integration SDKs, and AI model layer, • Spearhead weekly portfolio reviews, aligning five module PMs on shared OKRs, and ensure duplicates are eliminated prior to hitting engineering, • Enable AI features by working closely with data and ML pods to ship reusable models (cash-flow forecasting, predictive maintenance, and the like) and a common evaluation harness, • Lead the Definition of Done, beta programs, rollout flags, and post-launch instrumentation for all horizontal capabilities, • Maintain customer feedback loop by converting customer support telemetry into prioritized backlog items; champion “voice of customer” in roadmap trade-offs, • Implement longstanding policies and best practices around KPI dashboards, OKRs, launch checklists, etc. Qualifications: • 7-10+ years of B2B SaaS product management experience, including platform or suite-unification mandates, • Exposure to adjacent industries, such as proptech, construction technology, vertical ERP/FinOps, or similar, • Demonstrated track record of managing a minimum of three product lines/modules at the enterprise level – leading product teams as well as personally shipping product features, • Deep experience productizing AI/ML features (data pipelines, model lifecycle, guardrails), • Passionate about AI, with a concrete understanding of how AI can be used to streamline workflows both professionally and in everyday life, • Excellent data model and AI intuition, with the ability to serve as an AI subject matter expert in conjunction with the product and engineering teams, • Prior public speaking or thought leadership experience on AI and platform topics is a plus, • Familiarity with BI/SQL for quick data validation and storytelling is beneficial, • Self-starter, with a growth mindset and the ability to thrive in a fast-paced/entrepreneurial environment Compensation: Targeting a base salary of $200-$250k (depending on experience), plus equity

Job Description Principal Robotics Engineer – Own the Full Autonomy Stack for Tactical Ground Robotics! Austin, TX | Onsite Opportunity Summary A well-funded startup is developing autonomous robotic systems to counter emerging aerial threats in dynamic and hostile environments. We’re building small, smart platforms from the ground up, with real-time perception, embedded decision-making, and field-validated control systems. As one of the first engineers on the team, you'll work directly with the CTO to lead the development of core robotic capabilities, from firmware and sensor integration to real-world testing and tactical deployment. This is a 0-to-1 role for someone who wants to touch every layer of the stack, including firmware, control, perception, and tools to help define the future of machine autonomy in the defense space. You’ll have access to a full prototyping lab, work on live hardware, and see your work tested in real-time field conditions. About Us We are building cutting-edge robotic defense systems that operate autonomously in chaotic, high-threat environments. Our team combines experience in defense systems, autonomy, and machine learning. We’re tackling the toughest challenges in perception, control, and systems integration to deliver hardware that works in any conditions. Our pace is fast, our expectations are high, and our mission is urgent. Job Duties • Design and bring up robotic systems from scratch, including sensor selection, driver development, and embedded integration, • Write and optimize low-level firmware in Rust or C++ on real-time operating systems to manage motion control, sensors, and communication interfaces, • Develop robust control loops (PID or model-predictive) and manage distributed motor control networks via CAN bus, • Integrate and calibrate sensors, including cameras, IMUs, and encoders to support visual-inertial state estimation, • Fuse perception data (e.g., vision, inertial, audio) using techniques like EKF or UKF for real-time tracking and stabilization, • Build tools in Python for logging, visualization, calibration, and continuous integration, • Design and execute fast, iterative tests—both in-bench and in-the-field—to validate control and perception performance, • Support full-system debugging across software, electrical, and mechanical subsystems, • Implement scalable software architecture for real-time systems, ensuring reliability and extensibility under edge conditions, • Collaborate across disciplines—hardware, computer vision, AI/ML—to ensure all systems align in performance and delivery Qualifications • 3+ years of experience building robotic platforms, embedded systems, or high-performance real-time software, • Deep understanding of PID control, sensor feedback loops, and electromechanical actuation, • Strong proficiency in C++ (modern standards preferred) and Python, • Experience developing software for embedded platforms running RTOS, preferably on NVIDIA Jetson or equivalent, • Hands-on experience with camera and IMU calibration, sensor data fusion, and system-level debugging, • Familiarity with CAN bus, UART, and other common interfaces for real-time robotic systems, • Strong problem-solving ability in environments with high complexity and limited resources, • Comfortable using oscilloscopes, logic analyzers, and other tools for low-level debugging Preferred Experience • Rust for embedded systems, • Experience with ROS2, DDS, or real-time messaging frameworks, • Model-predictive or adaptive control systems, • Basic PCB design or awareness of EMI/EMC constraints, • GPU programming (CUDA) or parallel compute optimization, • Knowledge of ML frameworks (PyTorch, TensorFlow) or scientific computing, • Familiarity with networking protocols or distributed systems, • DevOps experience (Docker, CI/CD pipelines) in a robotics environment Why Join Us • Founding team position with significant ownership and visibility, • Work directly with the CTO to define product architecture and technical direction, • Full autonomy across the stack - firmware, control, tools, and perception, • Hardware-first culture with rapid iteration, testing, and real-world validation, • Mission-driven company solving urgent problems at the edge of autonomy, • Early equity, • Medical, dental, and vision coverage, • Relocation assistance if needed, • Access to a brand-new, fully equipped lab Compensation Details $150,000 - $220,000 plus equity #LI-AV

Job DescriptionJob Description About the team: As part of Renesas’s Infrastructure Power Business, you will contribute to the development of our next-generation digital power management ICs. These are mixed-signal, MCU-based SOC designs that power cloud computing in the datacenter. What we need: We are seeking a Mixed-Signal DFT Engineer to ensure efficient, high-coverage, testability for analog and mixed-signal designs. What you will do: • Own the test plan for all analog and mixed signal content, • Ensure integrity in observability and controllability of each design block to/from the pins of the part, • Ensure all blocks can be tested in a timely manner, • Ensure as many blocks as possible can be tested in parallel on-chip with minimal tester interaction, • Ensure calibration and trim routines can be efficiently generated, • Create definitions and procedures for block testing that can be used for ATE test generation, • Specify test, trim and calibration requirements for analog circuits blocks such as PLLs, DLLs, ADCs and DAC’s, • Test interfaces, • Logic controls, • Self-test and firmware-based test routines, • Modify block schematics and behavioral models as needed to implement testability features, • Write Firmware to exercise test routines, • Simulate test routines to demonstrate adherence to parametric block specs with process, voltage, temperature variations and noise, • Bench testing of test patterns and firmware prior to transfer to ATE, • Coordinate with other Engineering disciplines, • Design to ensure DFT approach is effective and efficient (silicon area cost < test time savings), • Firmware to ensure trim procedures can be efficiently uploaded and run at test, • Verification to ensure all functions and trims can be tested using firmware/DFT test modes, • ATE Test to ensure all test hardware requirements are correct and up to date, and to ensure that DFT simulations are easily transferable to ATE methodsQualifications, • SystemVerilog, • Cadence Virtuoso, • Working understanding of C/C++ programming experience for microcontrollers., • Fundamental understanding of mixed-signal design blocks: ADC’s/DAC’s, etc, • Understanding of ATE test time costs and hardware/tester limitations, • Familiarity with Firmware, ATE program structure and capabilities is a plus, • Familiarity with Lab/bench validation, • 10 years of experience, • Bachelors/Masters Electrical Engineer or Computer Engineering Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

Job Description Principal AI / ML Perception Engineer – Build the Intelligence Behind Autonomous Defense Systems! Austin, TX | Onsite Opportunity Summary A well-funded, venture-backed startup is developing compact, intelligent robotic systems to defend against high-speed aerial threats. As one of the first engineering hires, you’ll take full ownership of the autonomy and perception pipeline, working side-by-side with the technical leadership team to bring a real-world, real-time system to life. This is a zero-to-one role, designing, implementing, and validating machine learning and perception capabilities from the ground up. Your work will go beyond simulations and academic models; you’ll deploy your code into rugged field hardware and see it operate under real operational conditions. This is a rare opportunity to help define the brain of an autonomous defense platform at its earliest stage. About Us We are building cutting-edge robotic defense systems that operate autonomously in chaotic, high-threat environments. Our team combines experience in defense systems, autonomy, and machine learning. We’re tackling the toughest challenges in perception, control, and systems integration to deliver hardware that works in any conditions. Our pace is fast, our expectations are high, and our mission is urgent. Job Duties • Design and implement visual and multi-sensor perception pipelines optimized for speed, accuracy, and reliability, • Build and deploy computer vision and object detection models capable of running in compute-constrained embedded environments, • Develop audio-enhanced sensing systems for drone detection and tracking using microphone arrays or acoustic sensors, • Lead data collection, labeling, and training workflows to support model validation across diverse field scenarios, • Architect the onboard fusion of camera, IMU, and audio data for robust state estimation and environmental awareness, • Bring up and integrate sensor hardware including cameras, IMUs, and audio inputs with custom drivers and embedded code, • Prototype and test your work in both controlled and high-noise outdoor environments, iterating quickly with field results, • Collaborate with controls, embedded, and hardware engineers to ensure full system-level functionality and reliability, • Create internal tools and scripts for logging, replay, visualization, and real-time diagnostics, • Help define the perception roadmap and influence future product direction Qualifications • 3+ years of experience building ML/CV systems for robotics, autonomy, or embedded platforms, • Proven track record deploying models into latency- and resource-constrained environments, • Fluency in Python and C++ for both prototyping and embedded development, • Strong background in computer vision, including object detection, classification, and tracking, • Experience with real-time sensor fusion using camera and IMU data (EKF/UKF or equivalent), • Exposure to audio-based sensing or signal processing in robotics or autonomy applications, • Experience with embedded inference platforms such as NVIDIA Jetson, Coral, or similar, • Hands-on mindset with a comfort level bringing up sensors, debugging drivers, and tuning systems in hardware Preferred Experience • Prior work on perception systems in unmanned vehicles, cUAS, robotics, or defense technology, • Familiarity with edge inference optimization (e.g., model pruning, quantization, TensorRT), • Knowledge of acoustic localization, audio triangulation, or noise filtering for detection tasks, • Experience working on fast iteration teams in early-stage or startup environments, • Background in safety-critical or real-time embedded systems Why Join Us • Founding engineer position with full-stack ownership of perception and autonomy, • Real-world product: your work moves from code to field in days, not months, • High-trust, engineering-led environment focused on solving hard problems fast, • Ability to shape the long-term vision, roadmap, and technical culture, • Build a system that directly protects people and infrastructure in the real world, • Early equity, • Healthcare coverage (medical, dental, vision), • Relocation support if moving to Austin Compensation Details $150,000 - $220,000 plus equity #LI-AV

Job Description SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt. Technical PM, AI Research We are currently looking for a rare combination of research brilliance and pragmatic engineering, someone who can transform cutting-edge computer vision and NLP research into high-assurance AI systems for regulatory compliance and identity verification. As the founding member of SEON's AI Innovation team, you'll drive a research agenda that reimagines how document authentication, identity verification, and AML screening work in production environments. Your solutions will need to meet the exacting standards of financial regulators while delivering tangible advantages in accuracy, explainability, and cost-effectiveness over legacy systems. This is an opportunity to build something from first principles. You'll work directly with C-level executives to shape our AI strategy, develop production-ready prototypes, and establish our technical approach to high-stakes decision systems in a regulated environment. Success means creating solutions that can be validated with mathematical rigor, deployed into production environments, and serve as the foundation for SEON's next generation of AI-powered fraud prevention products. This is a Hybrid role and will be based out of our Austin office. WHAT YOU’LL DO: * Design and implement advanced architectures for document understanding that can extract, normalize, and verify complex identity data from diverse document types * Create novel solutions for AML name screening that incorporate context-aware matching, transliteration handling, and explainable decision frameworks * Develop evaluation methodologies that rigorously benchmark new approaches against both academic standards and real-world performance metrics * Design sophisticated AI interaction architectures that optimize model performance across document analysis and fraud prevention systems * Build systematic frameworks for collecting and analyzing model performance data to guide continuous improvement cycles * Architect end-to-end systems for document analysis that combine computer vision, OCR, and structured information extraction with robust verification logic * Build high-assurance systems with appropriate guardrails, confidence scoring, and formal verification methods * Develop APIs and integration patterns that allow seamless incorporation of AI capabilities into SEON's broader platform * Create comprehensive evaluation suites for measuring model accuracy, fairness, and reliability against established benchmarks * Establish methodologies for training, fine-tuning, and continuously improving AI models with domain-specific data * Evaluate emerging research, tools, and platforms from major cloud providers and research institutions * Develop product-focused neural reasoning frameworks that balance performance with explainability requirements * Create innovative evaluation methodologies that validate AI systems against both technical and business metrics * Partner with product management to translate research innovations into market-ready capabilities * Collaborate with compliance and legal teams to ensure AI systems meet regulatory requirements for explainability and audibility * Build relationships with academic researchers and industry partners to accelerate innovation * Mentor and guide engineers as the Austin AI Innovation team grows WHAT YOU’ll BRING: * Deep expertise in computer vision, particularly document understanding, OCR, and information extraction * Strong understanding of modern NLP techniques, especially those applicable to entity recognition, name matching, and contextual understanding * Experience designing and implementing high-assurance AI systems with appropriate verification, validation, and explainability * Demonstrated ability to translate research into working prototypes and production systems * Expertise in LLM behavior engineering for large language models and multimodal AI systems * Demonstrated ability to design and implement effective evaluation frameworks for AI models * Experience with systematically improving AI model performance through iterative testing and refinement * Applied Research experience in Computer Science, Electrical Engineering, or related field * Publication record in relevant research areas is a plus * Entrepreneurial mindset with the ability to operate independently and build from first principles * Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical audiences (AMAZING IF YOU ALSO HAVE): * Experience working on regulated applications of AI, particularly in fintech, identity verification, or compliance * Knowledge of formal verification techniques for AI and machine learning systems * Familiarity with challenges specific to identity documents, including cross-lingual processing, security feature verification, and fraud detection * Track record of building applications that balance performance with interpretability requirements * Experience with hybrid architectures that combine knowledge bases with learned capabilities * Product management experience with AI-powered solutions in enterprise environments SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon 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. Please let your recruiter know if you need reasonable adjustments to our recruitment process.

Job DescriptionJob Description Renesas Performance Computing Power Application engineering team is seeking an individual to work on cutting edge digital power management solutions. A successful candidate will have a strong desire and ability to work in a technically challenging environment with other top performers to continue Renesas’s development of industry leading power management IC’s This is an opportunity to contribute at a high level to the technical and commercial success of the corporation. To succeed, you will need to combine a deep technical understanding of multiphase VR systems, Renesas products and customer systems. You will have critical input on product definition and business planning activities. Your ability to work across functional groups through formal communication and direct interaction is critical to success. The position requires significant technical experience beyond traditional power management topics due to the embedded SOC nature of the products. Responsibilities Success in this position requires an ability to translate market understanding to product definition and ultimately to market adoption. • Support technical marketing through global customer visits to promote products and uncover critical customer needs., • Use knowledge gained to support marketing business plan activities by providing analysis demonstrating technical merit of Renesas solutions vs competing solutions., • Produce technically detailed Product Requirements Document to support creation of design specifications., • Work with design engineering when conflicts arise between requirements, capabilities and business expectations., • Participate in FPGA based design prototyping to verify key features and functions will meet expectations., • Work with design and other staff to find solutions when targets are not met., • Guide other staff in creation of Applications Validation Plans by using experience to ensure corner cases are covered, • Develop valuable IP by finding unique solutions to critical customer problems., • Assist marketing with analysis to support a monetary value of Intellectual Property., • Interface with key ASIC suppliers to understand requirements and ensure alignment in product development, • Provide deep technical support and training to advance Renesas’s commercial success. Qualifications, • Must have MS in Engineering or technical equivalent., • Must have a minimum of 15 years experience in the power management industry., • Must Have experience with firmware-enabled products and powering large scale application- specific integrated circuit (Central processing unit /Graphics processing unit etc.) in the data center market is required., • Experience with multiphase DC/DC converters powering Intel/AMD/SoC systems., • Mixed-signal Integrated Circuit/System knowledge/experience., • Experience with digitally enabled power management products., • Understanding of control loop theory and its application in power converters., • Proficiency with a full complement of lab equipment including network. analyzers, oscilloscopes and waveform generators., • Experience with automation of lab testing. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.