Principal Architect, Performance Analysis and Modeling (Seattle)

At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.Our culture is one of respect and collaboration. We value humility and believe in direct communication.Our team is inclusive , and our differing perspectives allow for better solutions.We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Working onsite at our Santa Clara, CA headquarters 3 days per week hybrid. Will consider remote in the United States. The role: Principal Architect, Performance Analysis and Modeling d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, 3D-DRAM, etc.) and emerging workloads (such as generative inference, etc.). Our acceleration philosophy cuts through the system, ranging from efficient tensor cores, storage, and data movements along with co-design of dataflow and collective communication techniques. What you will do: As a member of the architecture team, you will analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio generation). You will contribute hardware and software features that power the next generation of inference accelerators in datacenters. This role requires keeping up with the latest research in ML architecture and algorithms and collaborating with different partner teams, including Product, Hardware Design, Compiler, Inference Server, and Kernels. Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms What you will bring: Minimum: BSEE with 10 years of industry experience or MSEE preferred with 8 years of industry experience. Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs). Programming fluency in C/C++ or Python. Experience with developing analytical performance models, architecture simulators for performance analysis, Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.). Self-motivated team player with strong sense of collaboration and initiative. Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. J-18808-Ljbffr

Director, Product Management - Data Intelligence Foundation (, IL, United States)

Posting TypeRemote/HybridJob OverviewRelativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.Job Description and RequirementsWhat you'll ownThe full PM layer across multiple engineering orgs:Files / Natives : The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.Ontology / Relationship : The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning : what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.Data Capabilities : Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.Knowledge / Metadata : The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.Query Plane : One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).Minimum qualifications12 years in product management; 5 years leading platform or infrastructure PM organizationsDeep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domainBachelor's degree in Business , Computer Science, Engineering, or Design, or comparable work experiencePreferred qualificationsExperience building at companies where the data platform is the product, not a supporting system. Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a human doesn't , and you design for both.Ways of workingEngineering credibility is paramount. You will be in technical discussions with skilled and knowledgeable engineering leaders regularly. You need to be a peer in those conversations, not a relay.Organizational cadence. You establish the operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.Internal GTM ownership. Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.Coaching a scaling PM org. You build PM capability, not just PM headcount, leveling people up while running at speed.Cross-functional influence without authority. You don't control the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.Directional clarity under ambiguity. Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them when required .Legal domain expertise is not required . However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.Relativity is committed to competitive, fair, and equitable compensation practices.This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.The expected salary range for this role is between following values:$188,000 and $282,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.Required Skills: J-18808-Ljbffr

Principal SoC Architect (ML Accelerators) (Austin)

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career! Are you a system-on-chip visionary, an architect who thrives at the frontier where hardware and machine learning meet? Do you want to shape the compute fabric that powers next-generation sensing, voice/image, and control at the edge? Cirrus Logic's Technology Accelerator, Cirrus Venture Labs (CVL) may be the place for you. CVL is a newly established incubator focused on developing disruptive, scalable, and monetizable innovations that solve high-impact industry problems. Our mission is to deliver foundational silicon technologies that redefine what's possible for mixed-signal processing in new markets, accelerating Cirrus Logic's diversification and strategic growth. Responsibilities: Architecture Leadership: Define the end-to-end architecture for ML accelerators and SoCs, including compute fabrics, dataflows, memory hierarchies, and integration with mixed-signal front ends. Cross-Domain ML Enablement: Translate domain-specific requirements (voice interaction, sensor analytics, motor control) into architectural specifications and accelerator designs. Exploration & Tradeoff Analysis: Lead architectural exploration of performance, power, area, and cost tradeoffs; create models and benchmarks for workload-driven analysis. ISA & Compiler Co-Design: Collaborate closely at the instruction set and compiler/toolchain level to ensure that the ISA, micro-architecture, and runtime stack are co-optimized for ML workloads and domain-specific kernels. Prototype & Validation: Partner with internal engineering, startups, and research institutions to rapidly prototype candidate architectures on FPGA/ASIC platforms and validate with representative workloads. Security Architecture: Define and evaluate on-chip security architectures, including trusted execution environments (TEE), enclaves, memory partitioning, and hardware root-of-trust, ensuring robust protection for ML-enabled SoCs. Technology Scouting: Evaluate external IP, startups, and research in ML accelerators; identify opportunities for partnership, licensing, or incubation. Advisory & Influence: Serve as a technical advisor across multiple CVL initiatives; mentor engineers, guide innovation managers, and influence long-term compute strategy. Customer & Market Alignment: Work backwards from customer problems to ensure architectures are not only performant, but also scalable, integrable, and monetizable in real-world systems. Thought Leadership: Publish architectural principles, drive internal alignment around ML-enabled mixed-signal processing, and represent CVL in industry and academic forums. Required Skills and Qualifications: Educational Background: Ph.D or Master's degree in Electrical Engineering, Computer Engineering, or related technical field. Experience: 10 years in SoC or accelerator design, with a focus on ML, DSP, or high-performance edge compute. Technical Expertise: Deep understanding of ML accelerator architectures, including systolic arrays, SIMD/VLIW, RISC-V/ARM integration, memory subsystems, and dataflow optimization. ISA & Compiler Co-Design: Hands-on experience defining ISAs or ISA extensions and collaborating with compiler/runtime teams to tightly couple software to hardware micro-architecture. Mixed-Signal Awareness: Familiarity with the architectural implications of coupling ML compute with analog/mixed-signal front ends. System Modeling: Strong experience in architectural modeling, workload benchmarking, and system-level tradeoff analysis. Prototyping Tools: Expertise with simulation, emulation, FPGA prototyping, and performance modeling frameworks. Collaboration: Proven track record of working with cross-functional teams spanning hardware, software, research, and business. Communication Skills: Ability to clearly articulate complex architectural concepts to both technical and non-technical audiences, including executives. Preferred Skills and Qualifications: Security Architecture Expertise: Experience in hardware-level security stacks, including TEEs, enclaves, memory isolation schemes, secure boot, and cryptographic accelerators. Startup/Incubator Experience: Experience driving early-stage architectural concepts from exploration through to prototype. Low-Power Design: Expertise in energy-efficient architectures for edge workloads. External Engagement: Strong network in academia and industry in ML accelerators, SoC design, or edge AI. Patents & Publications: Demonstrated thought leadership through IP generation and publications in top-tier conferences/journals. Agile & Lean Innovation: Familiarity with agile practices for rapid prototyping and early product validation. LI-TM1 LI-Hybrid Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role. Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law. J-18808-Ljbffr

Director, Product Design (New York)

Company Description Givebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model. Givebutter has been certified as a Great Place to Work® every year since 2021, and is the 1 rated nonprofit software company on G2 across multiple categories. Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way. Role Description Givebutter is a joyful brand with a serious mission, helping changemakers raise over US$ 10 billion so far. Over 84,000 nonprofits trust us for their core operations — fundraising, donor management, finances — and we're investing in world-class design to empower the next generation of changemakers. Design at Givebutter looks different than it did a few years ago. While the role and goals of design have not changed, the craft of designing great experiences is being rewritten in real time. Part of this role is defining what great product design looks like in an AI-native company: which problems AI owns, where human judgment still wins, and how a team works when the tools and workflows shift often. You’ll manage a growing team of product designers across product pods, partnering closely with the VP of Design to set direction, remove roadblocks, and raise the quality and velocity of design across the platform. If you're energized by building teams, shaping design culture, and figuring out what design becomes in this next era, we want to hear from you. We want to hear from people who… Are experienced people managers who know how to nurture great design talent, give meaningful feedback, and build a high-performing team. Think strategically about design — not just what to build, but how design creates business value and drives positive outcomes for our users. Are natural collaborators who build alignment across Product, Engineering, Brand, and executive leadership. Hold a strong point of view on craft and quality, and know how to keep the bar high without becoming a bottleneck. Thrive in high-growth environments where the org is still evolving, and autonomy is the norm. Are not afraid to get hands-on when needed, and actively explore AI tools and coding agents to improve their craft. Responsibilities Lead and develop a team of product designers across multiple product pods, including direct ownership of hiring, performance, and career growth. Partner with the VP of Design on design strategy, org design, and how the design function scales over time. Create the conditions for designers to do their best work: align stakeholders, manage cross-functional dependencies, and drive clarity into ambiguous projects. Set and hold the craft bar across the platform — interaction patterns, visual execution, design system standards, and long-term product quality — keeping it consistent as the team and surface areas grow. Help define how product design operates at Givebutter, establishing how the team designs with AI tools and for AI-driven product experiences. Act as a strategic design partner to senior Product and Engineering leaders, shaping cross-functional decisions and aligning teams around shared outcomes. Influence product strategy through deep insight into our users (fundraisers and donors), turning ambiguous cross-product problems into clear direction for the team. Make high-stakes design decisions that balance craft, speed, and business impact, with a company-level ownership mindset. Help evolve Givebutter's design culture as the team grows, establishing practices, norms, and rituals that scale. Requirements 8 years of product design experience, with 3–5 years managing other designers Strong portfolio demonstrating design leadership across complex, multi-surface J-18808-Ljbffr

Head of IT (San Francisco)

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As the Head of IT at Baseten, you will build, scale, and secure our internal technology function to support our rapid growth. Reporting to our Chief Information Security Officer, you will lead and mentor a team of 5 IT engineers, leading the charge to transition Baseten from startup-era IT to a highly automated, enterprise-ready IT organization. You will take full ownership of corporate IT infrastructure, Helpdesk operations, corporate identity management, device lifecycles, and vendor procurement. As we scale to support the world’s most dynamic AI companies, you will ensure our internal systems scale seamlessly with our headcount, providing a secure, frictionless, and world-class technology experience for all Baseten employees. RESPONSIBILITIES Team Leadership: Manage, mentor, and grow a team of IT engineers, fostering a high-performance culture focused on technical excellence and end-user satisfaction. Helpdesk Operational Excellence: Build a fast-response support function by establishing clear response SLAs, tracking employee satisfaction metrics, and formalizing on-call and incident response processes. Zero-Touch Automation: Architect and implement automated employee onboarding, offboarding, and role-based access changes through deep integrations across HRIS, MDM, and IAM systems. SaaS Management & Procurement: Establish comprehensive SaaS management processes to eliminate shadow IT, automate access workflows, optimize vendor spend per employee, and build visibility into corporate tools and budgets. AI-Enabled Workflows: Spearhead the deployment of internal AI tools and automated IT agents powered by Baseten models to resolve routine tickets, maintain knowledge bases, and significantly boost internal productivity. Infrastructure & Hardware Ownership: Manage hardware logistics, global device lifecycles, software license consolidation, and the overarching corporate IT budget. REQUIREMENTS Experience: 5 years of overall IT leadership experience, ideally accompanied by 2 years of experience as a Head of IT or IT Director at an internet company, scaling developer-focused SaaS or AI infrastructure startups through rapid growth (e.g., 100 to 500 employees). Modern Cloud-Native Stack Mastery: Deep, hands-on expertise with Zero Trust Network Access (ZTNA), IAM/SSO (Okta, Google Workspace), MDM (Kandji, Jamf), and HRIS integrations (Rippling). Vendor & Financial Discipline: A proven track record of successful vendor negotiations, complex hardware logistics, software license consolidation, and strict IT budget ownership. AI-First Mindset: Proactive and forward-thinking approach to leveraging modern AI tooling and automation to eliminate operational friction, rather than relying on manual headcount expansion. Process Engineering: Demonstrated ability to build enterprise-ready processes from the ground up, establish performance metrics, and drive continuous improvement in a fast-paced environment. BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable). J-18808-Ljbffr

Chief Financial Officer (, RI, United States)

KLR Executive Search Group is proud to partner with a privately held, diversified organization is seeking a strategic and hands-on Chief Financial Officer to serve as the senior finance leader across a portfolio of operating businesses, investment entities, and real estate holdings. Reporting directly to ownership, this role offers the opportunity to bring structure, financial rigor, and strategic insight to a complex and growing organization. The CFO will oversee all finance and accounting activities, provide leadership across multiple business segments, and serve as a trusted advisor on financial performance, investment opportunities, capital allocation, and risk management. This position is well-suited for an experienced CFO or a high-performing Controller ready to step into a broader executive leadership role. Responsibilities Serve as the senior financial leader overseeing a diversified portfolio of operating businesses, investment entities, and real estate holdings. Lead all finance and accounting operations across multiple legal entities, ensuring accurate financial reporting, cash management, and accounting compliance. Partner with ownership to support strategic decision-making involving investments, capital allocation, lending activity, operating performance, and growth initiatives. Oversee a private lending portfolio, including loan performance monitoring, repayment tracking, interest accruals, and portfolio risk management. Direct multi-entity accounting functions, including general ledger, accounts payable, accounts receivable, payroll, account reconciliations, monthly close, and financial statement preparation. Manage treasury operations, liquidity planning, debt service, intercompany transactions, cash flow forecasting, and capital planning across multiple entities. Build and strengthen financial infrastructure by enhancing internal controls, reporting processes, budgeting, forecasting, and financial planning capabilities. Lead, mentor, and develop the accounting team while serving as the primary financial liaison to ownership, banking partners, lenders, external advisors, and other key stakeholders. Qualifications Bachelor's degree in Accounting, Finance, or a related field required. CPA or advanced degree is a plus. 10 years of progressive accounting and finance experience, including significant leadership responsibility in multi-entity or highly diversified environments. Prior experience as a CFO, Vice President of Finance, Controller, or similar senior finance leader, with the ability to operate both strategically and hands-on. J-18808-Ljbffr