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The Model (Why Top Sales Professionals Join Us) At GHA Technologies, you don’t just close deals—you: ✅ Prospect and win new accounts ✅ Keep and grow those accounts for years ✅ Build a recurring, compounding income stream 👉 This starts as a hunting role 👉 Then becomes your own account portfolio and long-term income and asset growth! Financial Highlights – $5,000 Week One Training Pay and Hiring Bonus! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $1000 per virtual or onsite appointment luncheon bonus Up to $3000 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to recruiters@gha-associates.com and schedule a strictly confidential interview. Visit us at: https://www.gha-associates.com/

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country. Responsibilities • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability, • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners, • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise, • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources, • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs), • Support SOC2 security compliance requirements for data handling, • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence, • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention, • Collaborate with cross-functional teams to build and maintain CI/CD pipelines, • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions, • Participate in on-call rotations and incident response teams, • Assist in capacity planning, performance tuning, and technical decision-making, • Drive continuous improvement initiatives for processes and infrastructureMinimum Qualifications, • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact, • Experience designing and operating infrastructure across on-premises and cloud environments, • Strong proficiency in container orchestration, particularly Kubernetes, • Strong proficiency with AWS services and architecture, • Hands-on experience with Terraform for infrastructure automation, • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices, • Excellent problem-solving skills, leadership abilities, and attention to detail, • Strong communication and collaboration skills, with experience in driving technical outcomes, • Willingness to travel up to 20% of timeEnhanced Qualifications (Nice to Have), • Bachelor's degree in Computer Science, Engineering, or a related field, • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure, • AI Workload scheduling using Kubernetes, • Knowledge of Apache Spark for large-scale data processing, • Knowledge of database technologies (SQL, NoSQL), • Understanding of networking concepts and security best practicesSalary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. Experience with voice AI, speech-to-text, NLP, or conversational AI systems. Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. Previous experience embedded within a large enterprise customer’s product deployment. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Senior Backend Engineer - Billing.Hydra Host is a Founders Fund-backed NVIDIA Cloud Partner building the infrastructure platform that powers AI at scale.We connect AI Factories — high-performance GPU data centers — with the teams that depend on them: research labs training foundation models, ent

Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale.We connect AI Factories - high-performance GPU data centers - with the teams that depend on them: research labs training foundation models, enterprises running production inference,

We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. Develop and implement a sales strategy against assigned territory and/or targeted list of customers. Maintain a high level of customer satisfaction and

About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025. The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet. We are seeking an experienced Staff Product Manager to own a part of the computing engine at the heart of IonQ's quantum platform. This role spans the full lifecycle of quantum computation: from how circuits are compiled and optimized, orchestrating and scheduling complex workloads, and connecting them to our growing fleet of quantum processors deployed in cloud regions, national laboratories, and enterprise data centers worldwide. IonQ's computing platform is at a critical inflection point, rapidly expanding as we scale. We’re rewriting, refactoring, or building whole new services up and down our stack to support our growing needs. Existing systems and datastores are being unified and matured, prepared for hybrid deployments into cloud + on-premise systems, and we’re integrating with new kinds of IT environments with rigorous requirements and complex needs. Every part of this space is a foundational, load-bearing system—and needs a strong product leader to guide their growth. This is going to be a significant challenge both in scope and in skill. Your work will span compiler interface contracts to fleet operations systems and everything in-between. You’re comfortable with ambiguous inputs, you aren’t intimidated by things you haven’t studied before, and you’re looking for a steep challenge. If you think this all sounds thrilling and not daunting: this role will be deeply rewarding. Responsibilities: • Build a deep, technical understanding of IonQ's platform systems from job submission APIs to the backend infrastructure that puts those instructions on to the QPUs themselves., • Own the product vision and roadmap for a portion of our computing platform layer—things like our compilation services, simulators, workflow orchestrators, and more., • Define interface contracts and service boundaries during a period of active architectural change, making smart choices about which systems to build to stand the test of time, and which can be throwaway., • Partner with engineering teams up and down the stack to scope, sequence, ship, and maintain foundational platform capabilities., • Help us grow our hybrid deployment roadmap, working across regional cloud deployments, on-premise edge appliances, and integrated HPC facilities, ensuring our products works as well inside a national laboratory as it does in a hyperscale cloud., • Navigate a complex competitive and standards landscape, emerging interoperability standards, and nascent partner integration patterns to inform strategic positioning and technical decisions. You’d be a good fit with: • 7+ years of product management experience, with at least 3 years leading infrastructure, platform, or developer tools products where the customer is an engineer or technical operator., • A demonstrated technical acumen: comfortable and fluent in architecture discussions, systems design, and negotiating service boundaries and interface contracts with engineering teams., • Experience working on foundational platform systems—the kind that other teams build on top of—where getting the abstraction right the first time is a critical concern., • A track record as a self-starting operator who builds their own context, identifies the highest-leverage problems, and drives outcomes without waiting for direction. You’d be a great fit with: • Experience with HPC, scientific computing, or job scheduling environments (Slurm, PBS, or similar), • Experience with hybrid cloud and on-premise deployment models, including the operational realities of running software in a customer's data center, • Experience with compilers, build systems, or developer toolchains, • Experience with fleet management, service registries, or distributed infrastructure control planes, • An understanding of hardware-software interfaces and the product challenges of abstracting over evolving hardware generations, • A strong bias for action and a comfort level with defining product direction in spaces where the technology and market are being invented simultaneously Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US Travel: None Job ID: 1425 The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit _. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the Nashville, TN, area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly. Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto. Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: A minimum of 5 years of health systems experience. Proven experience in customer success, account management, or project management. Ability to build relationships across an organization, from front-line staff to executives. Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. Experience working with cross-functional teams in a fast-paced startup environment. Strong background in project management. Nice-to-Have: Experience with AI or technology adoption in healthcare. Advanced knowledge of healthcare workflows and compliance standards. Active Registered Nurse (RN) license from an accredited university. *Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @_ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit _. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in PA and serve local and out-of-state clients as needed. It will be required to travel onsite to the client's location regularly. Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. Travel extensively to healthcare facilities for onsite support and training Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: A minimum of 5 years of health systems experience. Proven experience in customer success, account management, or project management. Ability to build relationships across an organization, from front-line staff to executives. Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. Experience working with cross-functional teams in a fast-paced startup environment. Strong background in project management. Nice-to-Have: Experience with AI or technology adoption in healthcare. Advanced knowledge of healthcare workflows and compliance standards. Active Registered Nurse (RN) license from an accredited university. *Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @_ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to recruiters@gha-associates.com and schedule a strictly confidential interview. Visit us at: https://www.gha-associates.com/

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Role Summary Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services. What You’ll Do Design and build intuitive, beautiful web interfaces for ML/AI cloud users Integrate top-tier tooling, workflows, and models from the AI space Own features end-to-end—from design to deployment to monitoring You (Must-Haves) 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives. Deep expertise in modern IAM patterns and technologies: Authentication (OIDC, OAuth2, SAML) Authorization (RBAC, ABAC, fine-grained permissions) MFA and advanced authentication factors SCIM and identity lifecycle management Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale. Strong architecture and systems design skills for distributed, multi-tenant SaaS environments. Proven track record of delivering IAM features in security-sensitive, high-uptime environments. Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane). Nice-to-Haves Experience designing IAM systems for ML/AI or cloud infrastructure products. Hands-on experience with enterprise onboarding flows. Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure). Contributions to IAM standards or open-source identity projects. Leadership or mentorship experience Strong academic background (EECS, Math, Software Engineering, Physics) Salary Range The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Final Note You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our _ have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. Reporting to the Director of Enterprise Sales, The Account Manager is responsible for managing the renewal process of existing customer contracts within Weights & Biases. This role plays a critical part in ensuring customer satisfaction, retention, and revenue growth. You will act as a trusted advisor, leading multi-threaded, multi-channel expansions, using a consultative approach to be able to identify the key aspects of a business and discuss top down initiatives with VP and C-suite leaders. \n Responsibilities • Renewal Management:, • Proactively manage the renewal process for assigned customer accounts., • Collaborate with sales, customer success, and other relevant teams to identify renewal risks and opportunities., • Negotiate renewal terms and pricing to maximize contract value while maintaining strong customer relationships., • Customer Engagement:, • Build and maintain strong relationships with key stakeholders within customer organizations., • Understand customer needs, usage patterns, and business objectives to drive successful renewals., • Address customer inquiries and concerns in a timely and professional manner., • Forecasting and Reporting:, • Maintain accurate records of renewal activities and forecast renewal revenue., • Provide regular reports and updates on renewal performance and trends., • Process Improvement:, • Identify opportunities to streamline and optimize the renewal process., • Work with cross-functional teams to implement process improvements and best practices., • Upsell and Cross-sell:, • Identify upsell and cross-sell opportunities during the renewal process., • Collaborate with sales teams to pursue additional revenue opportunities within existing accounts. Requirements • Relevant experience in a similar role at a AI/ML, DevOps or Data product company., • Deep experience interacting or selling to ML Engineers or developers is required., • 3+ years of experience total in sales (SDR, AM), • Proven success with renewing and growing customer base., • Entrepreneurial mentality - self-starter with a strong desire to build processes., • Interest in working at a hyper-growth startup in a quickly innovating space., • Strong negotiation and closing skills. \n$77,000 - $105,000 a yearThis position has an annual estimated salary of $77,000 - $105,000 per year. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram. Location This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more. What You'll Do Own complete post-sales customer engagements, providing direct technical guidance and solutions Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems Design and implement systematic improvements to our support process and infrastructure Create automated solutions and self-service tools that address common customer challenges Analyze support ticket patterns to identify product improvement opportunities and preventative measures Develop technical documentation, guides, and best practices that enable customers to self-solve issues Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities Partner with the broader Applied Engineering team to share knowledge and balance support workload Occasionally assist with implementation projects and pre-sales activities as needed Time Allocation 50% - Direct customer engagement and technical problem solving 30% - Building automation and scalable support solutions 10% - Developing documentation and self-service resources 10% - Contributing to broader Applied Engineering initiatives and pre-sales activities You'll Love This Role If You Enjoy direct customer interaction and solving complex technical challenges Are passionate about creating scalable solutions that enhance customer experiences Find satisfaction in improving systems and processes to increase efficiency Have a talent for identifying patterns and translating them into actionable improvements Are energized by opportunities to apply engineering principles to customer-facing challenges See technical support as a strategic function that drives customer satisfaction and retention It's Important To Us That You Have 3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages Experience developing automation solutions and improving technical processes Proven ability to troubleshoot complex technical issues in production environments Excellent written and verbal communication skills with the ability to explain technical concepts clearly It Would Be Great if You Had Experience with speech recognition, NLP, or related AI technologies Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s) Experience with API-first products and developer tools Background in support automation techniques and tools Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), or Remote (US) We’re growing our Support team and are seeking a seasoned Enterprise Support Engineer with deep API expertise, strong technical judgment, and a proven track record of supporting complex customer environments. This role is designed for someone who knows how to navigate ambiguity, manage high-stakes situations, and communicate clearly with stakeholders ranging from developers to executives. At ReadMe, Support is not simply reactive. Our Enterprise Support Engineers are trusted partners to our customers -- helping them maintain world-class developer documentation, optimize their integrations, and confidently scale their use of our platform. You look beyond individual tickets to understand systemic issues, advocate internally for customers, and proactively improve the overall customer experience. We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. 🦉 What we do ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. Serve as a primary technical point of contact for enterprise customers. Deliver timely, accurate, and highly professional support across multiple channels (In-App Messenger, forums, social, feature boards, and escalations). Troubleshoot complex API, authentication, CI/CD, and front-end implementation issues. Partner cross-functionally with Engineering, Product, and Customer Success to advocate for customer needs. Identify patterns in support cases and proactively recommend product or process improvements. Draft clear, executive-ready communications during escalations or incident scenarios. File detailed bug reports, provide reproducible test cases, and contribute technical fixes when appropriate. Contribute to and elevate internal and external documentation. You have significant experience supporting enterprise or high-growth SaaS customers. You remain calm and structured during high-priority or time-sensitive situations. You can confidently say “no” or reset expectations while preserving trust. You communicate complex technical concepts clearly to both technical and non-technical audiences. Technical Skills APIs and API debugging Swagger / OpenAPI specifications OAuth, SAML, and SSO authentication flows Git and CI/CD troubleshooting Front-end technologies (HTML, CSS, JavaScript) Markdown Chrome Developer Tools CLI environments npm packages and modern JavaScript ecosystems Leveraging AI tools (e.g., Claude, ChatGPT) in debugging workflows - with strong judgment and verification Diagnosing performance, configuration, and integration issues Support Skills You have a structured investigation and root-cause analysis process. You follow through on every issue and ensure closure. You identify recurring friction points and advocate for systemic improvements. You’re proactive, detail-oriented, and accountable. You understand metrics (SLAs, CSAT, time to resolution) and consistently perform at a high level. You enjoy turning high-stakes or frustrated customers into long-term advocates. You can operate independently while collaborating cross-functionally. You want to help shape enterprise-grade support at a growing company. You’re excited to have real impact at an early-stage but scaling startup. Build relationships with Support, Engineering, Product, and Success teams. Deeply learn ReadMe’s product architecture, features, and customer use cases. Train on our support tools and internal processes. Begin troubleshooting and resolving real customer issues. Understand our SLAs, escalation paths, and support performance metrics. Confidently manage enterprise-level customer conversations. Develop a strong command of OpenAPI and advanced implementation patterns. Identify product gaps and contribute meaningful feedback to Engineering. Own complex investigations from intake to resolution. Strengthen internal documentation and knowledge-sharing processes. Be recognized as a ReadMe product expert. Serve as a trusted technical advisor to key customers. Help shape support processes as we scale. Contribute significantly to reducing friction across the customer journey. Play a key role in maintaining the high standard of enterprise support that defines ReadMe. Create a ReadMe project, it’s free for 14 days with no credit card required! Explore ReadMe and create a page in your project to show us who you are and why you want to join our team! Share the URL in the "Website" field as part of your application. We can’t wait to read your resume and (hopefully personality-filled) ReadMe project! Let us know what excites you about the role, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30-minute Zoom call with Jesse Yowell, our Head of Support! We’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a take home project and 30-minute conversational interview with one of our Enterprise Support Engineers to assess your troubleshooting skills. Then we’ll invite you to an "onsite" interview conducted over Zoom! You’ll get to meet everyone on the support team, members from other ReadMe teams, and dig a little more into your technical skills! We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏖️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. 🩺 A One Medical membership. 🧑‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Hybrid work. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

About NineTwoThree NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture. With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. As a Product Manager at NineTwoThree, you will drive exciting digital product work with a fast-paced and technology-forward team, taking leadership for concept and launch of half a dozen new client products every year. Acting as the primary point of contact, you will effectively serve as the client’s Head of Product, quickly gaining a deep understanding of their business and the needs of their end users. You will work closely with clients to transform their vision into a clear, actionable roadmap for their digital web, mobile, or AI product. You will then use that roadmap to define precise requirements for each key milestone toward a useful product release. Collaborating cross-functionally with our internal teams—design, project management, engineering, and QA—you will guide products from concept through to launch. NineTwoThree moves fast, and you will work with the team to ensure projects stay on track and within scope, while also helping clients adjust priorities, align expectations, and make necessary trade-offs when challenges arise. You will also work across several clients, flexing and building product muscle in various domains, business models, and systems - an enormous professional development opportunity. As an AI-first agency, we place a high value on curiosity and a willingness to learn, especially regarding AI and machine learning. You will collaborate closely with our engineering team to build innovative products that leverage these technologies. Keeping up with the latest AI trends and tools will enable you to bring fresh insights and ensure our solutions remain at the forefront of the industry. Key Responsibilities • Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention., • Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation, • Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope, • Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process, • Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA, • Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones., • Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met., • Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines., • Identify opportunities for, and with, clients to see additional benefits and growth via further product features, marketing services, or ongoing maintenance and support contracts. Qualifications • 3+ years of experience as a product manager of digital products (SaaS, mobile, web, AI, etc;, • Strong experience with relationship management, either in a client-facing role or with executive-level stakeholders, • Excellent communication, negotiation and presentation skills to communicate effectively with customers and project teams;, • Ability to work independently and with a team in a dynamic product-development environment;, • Attention to details, strong analytical skills, organizational skills, and critical-thinking skills;, • Located in the EST time zone (or adjacent, and able to overlap the European team at least between 8am-1pm Eastern); We are glad to offer you: • 100% remote job, • Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years, • Paid sick leave and holidays, • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager), • Well-being budget, • Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor Hiring process: We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, second interview with Head of Product and CTO, third interview with CEO (optional), Offer.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We’re hiring an AI Engineer to shape how AI shows up across ReadMe’s product: from how developers explore and understand APIs to how companies author and maintain their documentation. We’re at the forefront of a major shift in developer experience: AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. You’ll work on systems that are already live across thousands of developer hubs and define what they become next. ReadMe's AI surface spans three bets we're doubling down on: Documentation that writes itself. AI that watches code change and keeps docs current — from PR-level suggestions to org-wide audits that surface and fix quality issues at scale. Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through. APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines. Day to day, you’ll: Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them. Want to own meaningful systems end-to-end, not just features. Care deeply about developer experience and documentation quality. Enjoy working on problems where AI, APIs, and product design intersect. Have strong instincts about what makes AI actually useful and where the industry is headed. Experience building with LLMs in production, not just prototypes. Strong JavaScript/TypeScript or Python experience. Experience working with: Embeddings and retrieval systems (RAG). Prompting and structured outputs. Evaluation and iteration of AI systems (quality, latency, cost). Comfort working with APIs and structured data (JSON, OpenAPI, schemas). Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces. Strong instincts around when to use AI vs. deterministic approaches. Experience improving AI reliability, observability, and production readiness. Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them. Build a deep understanding of ReadMe’s AI systems and product surfaces. Ship meaningful improvements to existing AI features. Get close to real customer workflows and pain points. Own a core part of one of our AI systems. Drive improvements in quality, reliability, and user experience. Contribute to product and technical direction. Be a key driver of AI across the product. Ship systems used daily by thousands of developers and teams. Help define how AI reshapes developer hubs and API workflows. We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe engineers. Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏝️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. A One Medical membership. 👨‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

📍 Location: Remote or Hybrid (SF or NYC) ReadMe is looking for a back end engineer who enjoys working in a collaborative team environment. Our teams are full of curious, creative, and committed people who love what they’re building. If that sounds like you, you’ll be right at home at ReadMe! We're a small team of humans (and one _) working together to do big things, and we’re growing fast! That’s where you come in. Since we’re a startup, you’ll make a big impact on ReadMe - both in the daily responsibilities of your role and beyond. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for Apple, Notion, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. You're fluent in TypeScript and have a deep understanding of cloud computing services, making you a go-to for building and scaling modern systems. When it comes to architecture, your skills are top-notch—you're a pro at designing systems that are robust, scalable, maintainable and future-proof. You are able to work cross-functionally with designers and product folks at just the right level—whether it’s big-picture brainstorming or in nitty-gritty details. You thrive on collaboration and know how to create space for everyone’s voice at the table (or Zoom call). Complex problems don’t scare you: you’re a natural at untangling them, finding efficient solutions, and guiding the team toward the finish line—even if it means making a compromise or two along the way. You believe in the magic of iteration—shipping small, learning fast, and improving constantly. You genuinely enjoy mentoring and helping your teammates level up—it’s not just about writing code, but building the people around you up too. You're a pro at striking the perfect balance between driving things forward on your own to deliver real value while also breaking down problems into bite-sized pieces that the whole team can tackle together. You're passionate about engineering and always hungry to learn more, with a knack for diving deep to understand the scope of a problem and crafting the right solutions. We’re all about making life easier for our customers—whether it’s simplifying how they create and maintain their docs or giving them better ways to track API metrics. Solving real problems for our users means we get to tackle some seriously interesting technical challenges. Some examples of projects Back End Engineers have worked on recently include: We built a Git-backed data storage service to scale with our growing customer base, serving thousands of projects seamlessly via Git storage. But it wasn’t just a cool engineering feat—it empowers our users to manage their docs directly from their existing Git repositories. People say documentation is where information goes to die, but we’re on a mission to make ReadMe the place where documentation truly comes to life! Some projects are about looking back so we can build a better future. To keep ReadMe moving forward, we took a hard look at our original API layer and realized it needed a redesign—not just for our sake, but to make our customers' lives easier too. So, we rolled up our sleeves, reworked our API models, separated our APIs from our data layer, and automated API documentation. It’s easy for companies to just keep stacking onto what already exists, but at ReadMe, we believe quality improvements matter just as much as new features. ReadMe is a company that prides itself on caring about it’s people; customers and employees. We don’t just care about the work we do, but the people who make ReadMe what it is. Take a glance at our benefits and you’ll see that our culture of care is intentionally built into how we operate as a company. Unlimited PTO with a three-week minimum. 🏝 Fully covered medical, dental, and vision insurance for you, and your dependents. 🩺 A One Medical membership. 🧑‍⚕️ A wellness stipend for therapy of up to $350 per month for up to 6 months. 😌 A wellness stipend of up to $150 per month. 🏋️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home office stipend of $500. 🖥️ Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our _ for more information on our benefits! 📘 At ReadMe, we want the interview process to reflect who we are: open, caring, with just a touch of whimsy. We’ve designed the process not only to embody the values that have helped us build an amazing team but also to give candidates the best opportunity to showcase their skills and let their true selves shine. After all, it’s about finding the right people to help take ReadMe even further! If you want a deeper dive into our hiring philosophy check out this blog post about _. If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with one of our Engineering Managers. They'll tell you more about the role, and get a chance to learn more about your personal experience. Next, a 30-minute phone interview with Laura, our VP of Engineering, where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe’s engineers. Finally, we’ll invite you to an "onsite" interview conducted over Zoom! These take an average of 4.5 hours including an hour break. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with each person one-on-one later on. We’ll let you know how things went within a week! If it seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here!

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office on a regular cadence. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. Experience with voice AI, speech-to-text, NLP, or conversational AI systems. Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. Previous experience embedded within a large enterprise customer’s product deployment. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Deepgram is building a new San Francisco presence centered around a purpose-built space for high-quality, in-person engagement with developers, customers, partners, and the broader voice AI community. This is not a traditional office. The SF space is designed primarily as an event-led environment: a place for hands-on labs, technical showcases, workshops, research talks, recruiting events, and curated gatherings. Our goal is to make Deepgram feel meaningfully present in SF through a repeatable cadence of experiences that are technically credible, thoughtfully hosted, and consistently well-executed. We’re hiring an Event Producer / Events Manager to be the operational backbone of that program. You will own the execution and day-to-day readiness of the venue, translating event concepts and goals (defined in partnership with DevRel, Product, Research, and Marketing) into seamless, high-quality events. This role is central to how Deepgram shows up in person — and ideal for someone who thrives on operational excellence, anticipates needs before they arise, and takes pride in making complex events feel effortless. Location: While Deepgram is remote-first, this role requires frequent on-site presence in our San Francisco office. Own the operational execution of Deepgram’s San Francisco event program, ensuring events are delivered reliably, professionally, and at a consistently high standard. Translate defined event goals, formats, and content direction into well-run, on-time experiences, including hackathons, technical workshops, research talks, recruiting events, and executive sessions. Serve as the day-to-day operator of the SF event space, ensuring the venue is consistently event-ready and can support multiple formats (presentations, labs, demos, showcases). Build and manage event timelines, run-of-show documents, and production plans that allow complex events to run smoothly and predictably. Coordinate all event logistics, including venue setup and teardown, AV and recording, catering, signage, speaker logistics, and attendee experience. Act as the single-threaded owner during execution, making real-time decisions on event days and handling contingencies calmly and effectively. Partner closely with Developer Relations, Engineering, Research, Product, and Marketing to operationalize event concepts, support technical programming, and ensure speakers and content are set up for success. Manage relationships with external vendors and production partners, balancing high production quality with disciplined spend. Create repeatable operational playbooks and processes so events can scale without reinventing logistics each time. Support a small number of flagship or executive-facing moments (e.g., summits, research previews, board-adjacent events) as needed. Run post-event operational retrospectives and incorporate learnings to continuously improve execution quality and reliability. Content Coordination and Readiness Event content at Deepgram is developed by our technical and product teams — including Developer Relations, Engineering, Research, Product, and invited external speakers. In this role, you will not be expected to author technical content, build demos, or create workshops yourself. Instead, you will be responsible for program-managing content readiness: coordinating with content owners to ensure speakers are confirmed, materials are scoped appropriately, timelines are clear, and content is ready to be delivered in a live setting. You will work with content owners to translate ideas into runnable events — helping ensure sessions are feasible, well-timed, and properly supported — while keeping execution and delivery on track. 7–10+ years of experience producing and operating live events, experiences, or programs, ideally in technology, startups, or adjacent ecosystems. Demonstrated success running complex, multi-stakeholder events end-to-end, including logistics, AV, vendors, speakers, and on-site execution. Experience working closely with technical teams, executives, or subject-matter experts to support credible, content-rich events (without necessarily owning content creation yourself). Comfortable operating in environments where events support broader outcomes (learning, relationships, momentum), while ownership of those outcomes lives with partner teams Strong project management and operational instincts; able to translate defined goals and event concepts into clear execution plans and reliably delivered outcomes. Confident, polished presence when hosting external audiences, partners, and senior leaders. Thrives in fast-moving, ambiguous environments where priorities evolve and execution quality matters. Prior experience supporting developer, research, or technical communities through events or programs. Familiarity with startup or high-growth company environments. Experience in developing educational or marketing content. A strong metrics or analytics focus and a desire to quantifiably tie events to business outcomes. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data systems that underpin our products, make critical design decisions about how we collect, process, store, and serve data at scale, and raise the bar for the entire team through your judgment, communication, and hands-on engineering. You'll operate at the intersection of deep technical work and cross-functional leadership, translating product goals into sound engineering plans and guiding the team through ambiguity to deliver real results. You'll own the component-level architecture for the data platform while working in close partnership with the platform architect to ensure alignment with the end-to-end platform vision and architecture. You'll join a diverse team of experts who are mission-driven, collaborative, and adaptive, and guide the team through the challenges of building reliable, performant data infrastructure in a fast-moving environment. Responsibilities • Architect and contribute directly to core platform components, including ingestion pipelines, transformation frameworks, data models, and orchestration, • Define and evolve the multi-quarter technical roadmap for the data platform, balancing new capabilities, reliability investments, and technical debt reduction in alignment with the broader platform architecture, • Drive evaluation and adoption of tooling across the stack, ensuring choices are well-reasoned and aligned with where the platform needs to go, • Lead architecture reviews and design discussions, ensuring decisions are well-reasoned, documented, and understood by the team, • Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises, • Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria, • Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity, • Run a lightweight but effective backlog and planning process, keeping the team focused and unblocked, • Mentor and grow engineers with an emphasis on raising technical depth — delegate meaningful work, pair on hard problems, and create opportunities for others to stretch, • Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management, • Ensure data systems work reliably in production — instrumented, observable, and operable, with clear SLAs on freshness, completeness, and accuracy Minimum Qualifications • At least 8 years of experience in data engineering, with 2+ years operating at a principal or staff level, • Proven ability to design and evaluate end-to-end data platforms across ingestion, transformation, storage, and serving, with clean contracts between layers, • Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and streaming pipelines at scale, • Strong understanding of data modeling and storage strategies, • Strong software engineering fundamentals, with the depth to evaluate code quality and set architectural standards, • Strong experience with cloud data infrastructure (AWS, GCP, or Azure) and the surrounding ecosystem, • Demonstrated ability to lead technical teams, set direction, and grow engineers without relying on formal authority Enhanced Qualifications (Nice to Have) • Experience with streaming architectures (Spark Structured Streaming, Delta Live Tables, Kafka), • Familiarity with data quality and observability tooling (Great Expectations, Monte Carlo, Soda, or similar), • Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI), • Experience with data collection from edge devices, • Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming, and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology. This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As an Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions What You’ll Do Lead technical discovery and solution design for enterprise prospects and customers Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases Provide expert guidance on API integration, performance optimization, and deployment strategies Partner with Account Executives to navigate technical objections and accelerate the sales cycle Contribute to technical content creation including implementation guides, reference architectures, and best practices Mentor junior team members and share technical knowledge across the organization Represent the voice of the customer to product and engineering teams Your First 90 Days First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation. 60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress. 90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology. You’ll Love This Role If You Are passionate about translating complex technical capabilities into business value Thrive in consultative customer environments where you can showcase your technical expertise Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility Find satisfaction in seeing your technical solutions drive customer adoption and success Are energized by staying at the forefront of AI and speech technology It’s Important To Us That You Have 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages Proven track record of successfully navigating complex technical sales cycles Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders It Would Be Great if You Had Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies Experience building customer-facing demos and sample code Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s) Experience with API-first products and developer tools Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Location: Fully Remote Preferred Locations: Midwest-based; Indianapolis, IN or IL, Chicagoland Area preferred Who We Are We are K1X. Our platform powers a modern, all-digital K-1 experience by replacing legacy workflows with scalable software and AI-driven automation. As we expand our machine learning capabilities, we are investing in a robust ML platform that enables production-grade model development, deployment, and monitoring across our products. About your Role We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers to efficiently train, deploy, and operate models in production. You’ll work at the intersection of software engineering, DevOps, and machine learning—owning the reliability, scalability, and performance of our ML platform. Your Responsibilities • Design and build scalable ML infrastructure to support model training, evaluation, and deployment., • Develop and maintain containerized environments using Docker and Kubernetes., • Build and manage distributed training pipelines and orchestration workflows., • Implement and maintain ML lifecycle tooling such as MLflow for experiment tracking and reproducibility., • Own production inference systems, including NVIDIA Triton Inference Server., • Design and operate low-latency, high-availability model serving architectures., • Implement CI/CD pipelines for ML deployment, versioning, and rollback strategies., • Build and maintain data pipelines integrated with Snowflake and related data systems., • Implement monitoring, logging, and alerting for model performance, drift detection, and system health., • Partner with ML Engineers to improve developer experience and accelerate delivery. Who You Are: • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience., • 5+ years of experience in software engineering, DevOps, or MLOps roles., • Strong proficiency in Python and experience building production-grade systems., • Hands-on experience with Docker, Kubernetes, and distributed systems., • Experience building and maintaining CI/CD pipelines., • Familiarity with ML lifecycle tools such as MLflow or similar., • Experience working with cloud-based data platforms such as Snowflake., • Strong understanding of system design, APIs, and microservices architectures., • Proven debugging and troubleshooting ability across distributed systems. It's Truly a Match If You Have: • Experience managing inference infrastructure such as NVIDIA Triton Inference Server., • Experience building large-scale training infrastructure including GPU workloads and distributed training., • Familiarity with feature stores, data versioning, and experiment tracking systems., • Experience supporting NLP or document processing pipelines., • Exposure to observability tools such as Prometheus, Grafana, or similar., • Experience working in SaaS environments with high availability, productivity, and performance requirements., • A strong bias toward automation, scalability, and continuous improvement., • A collaborative mindset and ability to work cross-functionally with engineering and data teams., • Unlimited Vacation Policy + Sick Time, • Fully Remote Opportunity, • Benefits/401K, • Growing Startup Culture, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

At _, we're building the fastest data flywheel for physical AI. We generate synthetic data and simulation scenarios that allow robotics and autonomous systems teams to train and test their AI in minutes instead of months. Our customers use Bifrost to land spacecraft on Mars, detect pirates across the Atlantic, and build AI systems that work reliably in the real world. Synthetic data and simulation platform for physical AI and robotics Backed by Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Wavemaker Partners, CapVista, Techstars, Lux Capital and others Used by NASA, Anduril, Honda, Mitsubishi, and frontier AI labs to build AI systems that work in the real world Work with an exceptional team to solve impactful problems Main Quest We’re hiring an early-career Account Executive who wants to become elite at selling deeply technical AI software. This is not a traditional AE role. You will operate like a hybrid of: Sales operator Technical translator Market mapper You’ll work directly with the CEO, engineering, and product teams to drive revenue in some of the most important and fastest-growing sectors in AI. That includes: Working with Founders & Core team to go from 10 to 100 customers Enhancing the existing winning playbook to drive new customer acquisition Driving trials, and trial conversions across the established ICP Helping the SDE team tweak their lead qualification process where needed Owning and driving revenue metrics Own full-cycle sales across target verticals (defence, maritime, robotics, autonomy, aerospace, etc) Identify, map, and break into high-value accounts (governments, primes, advanced startups) Run highly tailored outbound using modern AI sales and CRM tooling (Attio, Apollo, Clay, GPT agents, etc.) Conduct discovery with technical stakeholders (ML engineers, Perception teams, Program leads) Translate complex technical capabilities into clear business value Partner with PMs and Solutions Engineers to land pilots, PoCs, and deployments Work closely with leadership on deal strategy, pricing, and positioning Continuously refine messaging based on market feedback 1–4 years of experience in B2B sales, GTM, or technical customer-facing roles Experience selling or working with technical products (AI/ML, developer tools, robotics, SaaS, infra, etc.) Strong ability to learn and explain technical concepts Evidence of high agency — you’ve built systems, not just followed playbooks Comfortable working in ambiguity, early-stage environments, and founder-led sales motions Excellent communication skills — especially with technical buyers Demonstrated ability to prospect creatively and persistently Strong interest in AI, robotics, autonomy, defence, or physical systems Familiarity with modern GTM stack Experience running outbound campaigns or building pipeline from scratch Exposure to PoCs, pilots, or technical sales cycles Strong writing ability (cold emails, proposals, narratives) What We Offer Competitive compensation Comprehensive benefits package (healthcare, PTO, etc.). Opportunity to work directly with the founding team from Nvidia, Google, and Lucasfilms and grow quickly A collaborative, supportive environment with plenty of room to explore new skills. Great memes

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit _. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the New York, NY area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly. Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto. Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: A minimum of 5 years of health systems experience. Proven experience in customer success, account management, or project management. Ability to build relationships across an organization, from front-line staff to executives. Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. Experience working with cross-functional teams in a fast-paced startup environment. Strong background in project management. Nice-to-Have: Experience with AI or technology adoption in healthcare. Advanced knowledge of healthcare workflows and compliance standards. Active Registered Nurse (RN) license from an accredited university. *Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @_ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github. About the Role As a Cloud Machine Learning Evangelist, your goal will be to increase the impact of the Hugging Face ML Cloud team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: • Publishing technical blog posts, • Contributing documentation and code examples, • Speaking to business and technical audiences at partner conferences,, • Participating in, or producing webinars, • Building and evangelizing demos, • Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Senior Product Manager / Account Manager About NineTwoThree NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture. We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed. With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. Job Description As a Senior Product Manager at NineTwoThree, you will drive exciting digital product work with a fast-paced and technology-forward team, taking leadership for concept and launch of half a dozen new client products every year. Acting as the primary point of contact, you will effectively serve as the client’s Head of Product, quickly gaining a deep understanding of their business and the needs of their end users. You will work closely with clients to transform their vision into a clear actionable roadmap for their digital web, mobile, or AI product. You will then use that roadmap to define precise requirements for each key milestone toward a useful product release. Collaborating cross-functionally with our internal teams—design, project management, engineering, and QA—you will guide products from concept through to launch. NineTwoThree moves fast, and you will work with the team to ensure projects stay on track and within scope, while also helping clients adjust priorities, align expectations, and make necessary trade-offs when challenges arise. You will also work across several clients, flexing and building product muscle in various domains, business models, and systems - an enormous professional development opportunity. As an AI-first agency, we place a high value on curiosity and a willingness to learn, especially regarding AI and machine learning. You will collaborate closely with our engineering team to build innovative products that leverage these technologies. Keeping up with the latest AI trends and tools will enable you to bring fresh insights and ensure our solutions remain at the forefront of the industry. Key Responsibilities • Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention., • Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation, • Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope, • Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process, • Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA, • Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones., • Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met., • Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines., • Identify and manage opportunities to up-sell clients on additional product features, marketing services, or ongoing maintenance and support contracts., • 5+ years of experience as a product manager of digital products (SaaS, mobile, web, AI, etc;, • Strong experience with relationship management, either in a client-facing role or with executive-level stakeholders, • Excellent communication, negotiation and presentation skills to communicate effectively with customers and project teams;, • Ability to work independently and with a team in a dynamic product-development environment;, • Attention to details, strong analytical skills, organizational skills, and critical-thinking skills;, • Located in the EST time zone (or adjacent, and able to overlap the European team at least between 8am-1pm Eastern); 100% remote job • Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years, • Paid sick leave and holidays, • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager), • Well-being budget, • Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor Hiring process: We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, second interview with Head of Product and CTO, third interview with CEO (optional), Offer. Join us!

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. The Billing & Expansion team at Weights & Biases is dedicated to simplifying the process of evaluating, purchasing, and managing W&B subscriptions to drive revenue growth and customer satisfaction. This crucial team ensures our billing and licensing systems meet the needs of AI practitioners and our business. As a Senior Software Engineer, you will lead initiatives in pricing, licensing, and billing infrastructure, directly impacting how customers and internal teams engage with our products. \n What you’ll achieve (Responsibilities): • Design and maintain a scalable billing platform that supports Weights & Biases growth, integrating with billing vendors for optimal user experience., • Collaborate with Product, Data, Finance, and Go-To-Market (GTM) teams to develop features that meet business needs, optimize pricing, and drive customer expansion., • Mentor fellow engineers, sharing best practices and advocating for long-term architectural solutions., • Enhance data models and systems to ensure accurate, fair, and transparent billing processes., • Develop tools and integrations for internal teams to seamlessly use billing data for better decision-making and customer service. What we’re looking for (Requirements): • 5+ years of experience in software engineering., • Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Python, Go, Typescript, etc)., • Proven ability to collaborate cross-functionally, especially with Product, Data, Finance, and GTM teams, to gather requirements and deliver impactful features., • Commitment to a customer-first mindset and an ability to balance long-term and short-term objectives, prioritizing what’s best for the customer and the company’s growth., • Experience in payment/metering systems is a plus., • 🏝️ Flexible time off, • 🩺 Medical, Dental, and Vision for employees and Family Coverage, • 🏠 Remote first culture with in-office flexibility in San Francisco, • 💵 Home office budget with a new high-powered laptop, • 🥇 Truly competitive salary and equity, • 🚼 12 weeks of Parental leave (U.S. specific), • 📈 401(k) (U.S. specific), • Supplemental benefits may be available depending on your location \n$177,000 - $245,000 a yearThis position has an annual estimated salary of $177,000 - $245,000 per year. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. About the Role At PlayStation, our Gaming, Developer & Future Technology (GDFT) Group is leading the cloud gaming revolution by putting console-quality video games on any device from TVs to consoles to mobile devices and beyond! Would you like to use your skills, time, and passion on meaningful projects that are building the future? We're looking for a Staff Software Engineer with a strong background in DPU software/firmware development, who loves designing and building innovative hardware and software, wants to make an impact, and enjoys working with creative, intelligent and collaborative teammates. If that sounds like you, come help us build world class technology capable of delivering fun and unique gaming experiences to millions of players! Responsibilities Design, develop, and maintain firmware for DPUs in high performance systems Implement and optimize peer-to-peer PCIe communication between DPUs and other bus devices, minimizing latency and host CPU involvement Manage network device queues across PCIe peers and handle doorbell interrupts to process them. Architect innovative solutions and drive alignment across teams and stakeholders. Collaborate across hardware, drivers, system software and network cross functional teams. Use hardware and software debugging tools to diagnose PCIe and DPU issues. Document key technical areas and share knowledge through technical presentations Required Qualifications BS in Computer Science / Software Engineering or 10+ years of relevant work experience 8+ years of combined experience in C/C++ Expert level proficiency developing software/firmware on Nvidia BlueField DPUs, or similar technologies Strong understanding of PCIe peer-to-peer communication, including memory-mapped I/O, queue management, and device-to-device signaling. Ability to debug, profile, and optimize firmware performance Working knowledge of networking protocols: TCP/IP, UDP and L2 layer protocols Proven track-record of solving ambiguous problems with minimal direction. Strong debugging / analysis / troubleshooting skills Preferred Qualifications Experience with P4 Experience with Open vSwitch/Sonic EVPN-VXLAN knowledge Network driver development experience on Linux or embedded OS or similar Experience with storage offload engines and computer networking domains A track record of technical leadership guiding teams without hard authority. Additional Skills Motivated self-starter. Experience with Rust. Enjoys working in a fast-paced, collaborative environment Knowledge of Japanese language and culture is a plus Please refer to our _ for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click _ to learn more. The estimated base pay range for this role is listed below. $161,100 - $241,700 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. An Account Executive at Weights & Biases is a quota carrying, enterprise software sales position responsible for meeting and exceeding goals through generating and closing new opportunities while increasing awareness of Weights & Biases in the marketplace. We are looking for motivated, focused, and coachable sales professionals with experience across the full spectrum of the software sales cycle – prospecting, defining and articulating value proposition, pilot process management, business case development, negotiation and closing. This role is location specific to San Francisco. \n Role and Responsibilities • Drive new business opportunities for selling Weights & Biases software and services engagements within assigned territory, • Develop and implement a sales strategy against assigned territory and/or targeted list of customers, • Develop a deep understanding of, and effectively articulate, the W&B offering and value proposition in the market, • Constantly focused on pipeline generation within the territory to ensure long term success, • Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close, • Manage opportunities through the sales cycle from initial inquiry to forecasted pipeline to deal design and close, • Meet quarterly and annual revenue objectives for your territory, • Provide continuous updates on all active accounts and report on sales, activities, status and progress on a regular basis, • Maintain a high level of customer satisfaction and reference-ability, • Travel for client visits and presentations Requirements • Located in San Francisco is required, • Experience selling to developers is required, • 4+ years of progressive SaaS software sales experience to companies - 1-2 years as an SDR, 1 year selling Commercial/Mid-Market, 1 year selling Enterprise, • Track record of success in closing business, • Excellent negotiation, analytical, financial and organizational capabilities. Able to thrive in an evolving, entrepreneurial structure and environment, • Outstanding verbal and written communication skills, • Ability to work at both a tactical and strategic level, • Must possess a can-do, self-starter mentality in a highly collaborative atmosphere Our Benefits • 🏝️ Flexible time off, • 🩺 Medical, Dental, and Vision for employees and Family Coverage, • 🏠 Remote first culture with in-office flexibility in San Francisco, • 💵 Home office budget with a new high-powered laptop, • 🥇 Truly competitive salary and equity, • 🚼 12 weeks of Parental leave (U.S. specific), • 📈 401(k) (U.S. specific), • Supplemental benefits may be available depending on your location, • Explore benefits by _ \n$85,000 - $115,000 a yearThis position has an annual estimated salary of $85,000 - $115,000 per year. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

About Legion Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work. Role Responsibilities • Advocate For Customers: Act as the voice of the customer within the organization, advocating for customer needs and requirements to the product team., • Manage Customer Requirements: Serve as project manager for any new feature development for the user as well as for deploying the Legion platform for a given customer., • Be a Legion Expert: Develop hands-on technical knowledge of Legion’s product and feature capabilities so that you can ensure our customers are using Legion in the way that’s best for their team., • Lead Customer Onboarding: Train customers on how to use the platform, including training administrative users and champions on how to enable their team members’ success., • Demonstrate Value: Work with customers to understand what really matters to them and their leadership and demonstrate the way that Legion meets that need qualitatively and quantitatively., • Build High-Quality Relationships: Develop relationships with multiple levels of customer stakeholders - everyone from end users, to security engineers to CISOs., • Ensure Renewals: Work closely with the sales teams to identify the best path to renew and expand customers while minimizing churn risks., • Provide Feedback: Proactively gather customer feedback and insights through surveys, interviews, and data analysis, and relay this information to our engineering team., • Manage Issues: Collaborate with engineering to ensure timely resolution to customer issues and maintain consistent communication with our customers. Required Qualifications • SECRET or TS/SCI Security Clearance., • Significant experience as a CSM or AM working with the government. Our team is lean and requires someone who is able to thrive in the federal space without significant guidance., • Willingness to travel. You will need to be onsite with our customers frequently. Most of them will be on the East Coast., • Experience with a technical product. You’ll need to have worked with a highly-technical product in the past. Legion is a Generative AI product and the technology itself is highly complex. While our users can be anyone at an enterprise, the decision-makers involved in bringing Legion to their company (e.g., CTOs, CIOs) are often quite technical and you will need to be able to comfortably communicate with them. Exceptional communication skills. You represent Legion to the customer, and you represent the customer to Legion. Effectively communicating in both directions is paramount and critical to the success of both the customer and Legion. • Proven ability to collaborate. You can work effectively with cross-functional teams, including sales, product, and/or engineering to articulate customer needs and develop new platform capabilities to meet them., • Understanding of AI technologies. You understand machine learning concepts and their applications in real-world scenarios and can communicate them to customers of varying levels of technical backgrounds. Preferred Qualifications • Experience working at a startup. Legion is early-stage and that means there’s a lot of things that aren’t figured out yet. You’ll need to be comfortable with operating in that kind of environment., • Technical background. You have some experience building tools for project management (e.g., using Excel, SQL, Python, etc.) or developing your own applications for this or other purposes. Location + Travel This is a remote position, but it will require consistent travel - primarily on the Eastern seaboard. Being located in or near DC, Tampa, or Fayetteville NC is not required, but it’s a plus. Equal Opportunity Statement Legion 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. Compensation Information $150,000 - $230,000 USD

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior DevOps Engineer to join our growing software engineering team and help build the infrastructure that powers our advanced robotics manufacturing platform. In this role, you will design, scale, and own the cloud infrastructure, CI/CD pipelines, and deployment systems that support our robotics software platform. You will play a key role in defining how we deploy, secure, monitor, and manage systems across multiple environments, enabling reliable and scalable operations for our robotics and manufacturing systems. This is an opportunity for an experienced engineer to lead infrastructure strategy, streamline development workflows, and partner closely with software engineers to deliver highly reliable systems. You will be hands-on from day one and help shape the DevOps function as the company grows. Key Responsibilities: • Design, deploy, and manage Azure-based cloud infrastructure, including Azure Government environments., • Build and maintain CI/CD pipelines to support automated build, testing, and deployment workflows., • Develop and manage Infrastructure as Code using Terraform., • Manage and maintain Linux-based systems and services across development and production environments., • Support containerized deployments using technologies such as Docker and Kubernetes., • Manage secrets, certificates, and authentication across services and environments., • Implement system observability including logging, monitoring, alerting, and tracing., • Troubleshoot infrastructure and deployment issues and help define operational best practices., • Collaborate with engineering teams to improve deployment speed, reliability, and system performance.Required Background & Experience:, • 5+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles., • Strong experience with Microsoft Azure cloud infrastructure., • Deep experience working with Linux-based environments., • Proven experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, or similar)., • Hands-on experience with Terraform for infrastructure automation., • Experience deploying and managing containerized applications (Docker and/or Kubernetes)., • Familiarity with Python and/or JavaScript to support automation, tooling, or platform integration., • Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog., • Strong troubleshooting skills and ability to manage complex cloud infrastructure. Preferred Qualifications: • Experience supporting infrastructure for robotics, hardware, or real-time systems., • Familiarity with Azure Government or regulated cloud environments., • Experience with HashiCorp tooling such as Vault or Consul., • Experience optimizing cloud infrastructure performance and cost. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), or Remote (US) We’re hiring an OpenAPI (OAS) Engineer to own and evolve the systems that power our API Explorer and API Designer - two of the most critical surfaces in the ReadMe product. This role sits at the intersection of developer experience, API design, and product engineering. You’ll shape how thousands of companies design, validate, and interact with their APIs. You won’t just be implementing specs…you’ll help define how APIs should feel. We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. But you won’t be doing it alone. ReadMe is a highly collaborative environment where people show up for each other. Ownership here means you’re driving, but not driving solo. You’ll specifically own: The API Explorer and API Designer: the tools thousands of companies rely on to design, test, and interact with their APIs through ReadMe. The OAS pipeline: how we parse, validate, transform, and render OpenAPI specs across the product. The technical vision: where these surfaces go next as the API landscape evolves (new spec versions, AI-assisted workflows, shifting developer expectations). The developer experience: you’ll think deeply about what it feels like to use these tools, not just whether they work. Day-to-day that means you’ll: Ship meaningful improvements early, changes that customers notice, even before the full vision takes shape. Define a technical roadmap for the OAS-powered surfaces that the team can get behind and build toward together. Make the big architectural calls. Decide what to evolve, what to reimagine, and how to get there. Stay ahead of the curve. The API tooling landscape is shifting fast. You’ll keep an eye on where things are heading and make sure ReadMe stays out in front. Care deeply about developer experience and API usability. Have strong opinions on what makes a “good” API - and can back them up. Enjoy working on tools that other developers use every day. Like turning complex systems into simple, elegant interfaces. Are excited about how AI can improve how developers understand and use APIs. Deep familiarity with OpenAPI / Swagger. Strong JavaScript/TypeScript experience. Experience building or working with API explorers or API clients. Understanding of: Authentication flows (OAuth, API keys, SSO) REST API design patterns JSON Schema and validation systems Comfort debugging real API requests (headers, payloads, errors). Familiarity with frontend systems (React, rendering structured data). Experience designing developer-facing tools is a big plus. Learn how ReadMe ingests and renders OpenAPI specs. Ship your first improvements to the API Explorer or Designer. Pair with engineers across the product and platform teams. Own meaningful parts of the API Explorer or Designer experience. Identify gaps in how we handle OpenAPI and propose solutions. Become a go-to resource for API-related decisions across the company. Define the direction of API tooling at ReadMe. Have shipped major improvements used by thousands of developers daily. Help shape how modern APIs are designed and consumed. We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a second 30 minute phone interview with one of our Engineering Managers where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe engineers. Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏝️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. A One Medical membership. 👨‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

Compa is a venture-backed SaaS startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more. Location: While Compa is a remote friendly company, for this role there is a preference for candidates located near one of our offices in Irvine, CA, Denver, CO or Boston, MA. At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design. As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers. In this role, you will: Ship production-grade software across Compa’s web app and backend systems Build new features and improve existing workflows in collaboration with Product and Design Write clean, scalable code and contribute to system architecture decisions Participate in code reviews, team rituals, and roadmap discussions Solve real problems for enterprise compensation teams—from data pipelines to user experience 2+ years of experience shipping production software in a collaborative environment Strong proficiency in at least one modern web development language or framework Comfortable working across the stack or specializing in either frontend or backend Proven ability to work autonomously and follow through on commitments Pragmatic and thoughtful about trade-offs—focus on outcomes over tools Strong communication and collaboration skills Experience in early-stage or high-growth startup environments Familiarity with compensation, HR tech, or enterprise SaaS (not required) Experience working on data-driven products or complex user workflows Interest or experience in AI systems or ML infrastructure (a plus, not a requirement) Comfortable navigating ambiguity and working in fast-paced, iterative environments You don’t need experience with all of these, but familiarity with any is a plus: Backend: Django, Python Frontend: React, TypeScript, GraphQL Infrastructure: AWS Other Tools: vLLM, Linear, Slack, Notion, Metabase #BI-Remote

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. About Machina Labs The Role As a Robotic Process Engineer at Machina Labs, you will play a key role in enabling RoboForming, our robotic incremental sheet metal forming process, through CAD manipulation, robot tool path generation, and process optimization. You'll work with our RoboCraftsman system and internal software stack to convert digital part designs into robotic tool paths, analyze scan and forming data, rapidly iterate on forming strategies based on real-world feedback, and support iterative development of forming strategies. This role is hands-on and collaborative, with a strong emphasis on digital tooling, data-driven improvement, and integration with advanced robotic systems.What You'll Do • Generate and modify CAD models to ensure compatibility for RoboForming., • Use internal software stack to convert CAD into robot tool paths for execution on the RoboCraftsman., • Analyze RoboForming data and 3D scan results to assess part quality and identify areas for improvements., • Design and execute structured experiments (DOE) to optimize forming parameters and tool path strategies., • Collaborate with product managers, software engineers, and manufacturing engineers to improve workflows and tool path strategies., • Contribute to technical discussions with external customers as needed to support project goals and ensure alignment, • Work autonomously and making informed decisions with limited data, then refining based on outcomes., • Document process, results, and analyses for continuous improvement for internal use.What We're Looking For, • B.S. in Mechanical, Manufacturing, Industrial, or Aerospace Engineering, or related field., • Minimum 2 years of experience (or fewer with advanced degrees) in a manufacturing, robotics, or prototyping environment., • Proficiency in CAD software (e.g., SolidWorks, Fusion 360, Rhino)., • Familiarity with CAM, tool path generation, or robot programming., • Strong data analysis skills (e.g. MATLAB, Python, advanced Excel or similar tools)., • Comfort working in open-ended problem spaces, making rapid decisions and course corrections as needed., • Strong attention to detail and ability to follow standard processes., • Comfortable working in a hands-on, fast-paced manufacturing environment., • Demonstrated ability to interface with interdisciplinary teams and internal/external project stakeholders., • Effective written and verbal communication skills., • Strong mentality toward safety and occupational hazard prevention.Preferred Qualifications, • Expertise in surface modeling using CAD., • Experience working with industrial robots (FANUC, KUKA, ABB, etc.)., • Exposure to 3D scanning, inspection systems, or metrology tools., • Familiarity with Python scripting or automation tools., • Knowledge of CNC machining, additive manufacturing, or other digital manufacturing processes., • Experience working in a production or manufacturing facility., • Experience working in a highly regulated environment (e.g. aerospace, medical, nuclear).In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock OptionsMachina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. About the Role The Manufacturing Engineer plays a critical role in creating CAM programs, developing and releasing internal manufacturing procedures, and overseeing Robocraftsman cells. This individual will implement continuous improvement strategies, utilizing lean methodologies to reduce waste. As the primary user of the Robocraftsman cells, the Manufacturing Engineer will identify limitations, recommend improvements to hardware and software teams, and test upgrades. This role works closely with the Robotic Process Engineering team and Production Technicians to ensure the timely delivery of parts to customers.What You'll Do • Create forming and cutting tool paths using internal CAM tools., • Develop and release manufacturing procedures for production teams., • Oversee and take ownership of Robocraftsman cells, acting as the primary user., • Drive continuous improvement and reduce waste through lean manufacturing principles., • Collaborate with the Product Team to identify cell limitations and recommend improvements., • Test and validate hardware and software upgrades to ensure smooth integration into production., • Partner with the Robotic Process Engineering team to troubleshoot and optimize cell performance., • Work closely with Production Technicians to ensure timely and accurate production of parts., • Maintain detailed records of changes, improvements, and tests related to Robocraftsman cells., • Provide technical support and training to manufacturing staff on new processes, tools, and systems.What We're Looking For, • B.S. in Mechanical, Manufacturing, Industrial Engineering, or related field., • 2 years of manufacturing experience in production-heavy environments., • Hands-on experience designing, testing, and improving manufacturing processes to stay lean and efficient., • Strong ability to conduct root cause analysis and implement corrective actions., • Experience collaborating with cross-functional teams, including software engineers, product managers, and mechanical engineers., • Proficiency with CAD, CAM software, and CNC programming., • Background in job shops or manufacturers with forming, machining, or sheet metal capabilities., • Familiarity with Material Resource Planning (MRP) software., • Strong technical writing, problem-solving, and communication skills., • Ability to manage multiple priorities and meet deadlines in a fast-paced environment., • Ability to travel up to 20% of the time. Bonus Points For, • Experience in a manufacturing engineer role at an ISO9001/AS9100 certified facility., • Practical experience in a machine shop with a focus on quality standards., • Knowledge of GD&T and precision assessment principles., • Experience in lean, safety, and compliance activities., • Experience authoring/revising technical documents, including quality procedures, work instructions, and technical reports., • Proficiency in surface modeling using CAD.In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems that power our robotic sheet metal forming platform. In this role, you'll bridge the gap between the virtual and the physical, writing software that directly influences how giant robots shape real-world parts. You'll work across the stack in TypeScript and Python, collaborating closely with robotics and automation engineers, product managers, and quality teams to deliver reliable, performant software that drives manufacturing innovation.Key Responsibilities: • Design, develop, and maintain full stack applications using Next.js (TypeScript) and Python., • Build and maintain real-time communication layers using WebSockets to connect software interfaces with robotic systems., • Collaborate with the robotics and automation team to integrate software with hardware systems and manufacturing workflows., • Work with product and quality teams to translate requirements into well-architected, testable features., • Develop and deploy containerized services, supporting CI/CD pipelines and production infrastructure., • Contribute to system design decisions, code reviews, and technical documentation., • Troubleshoot and resolve issues across the full stack, from frontend UI to backend services and real-time data streams.Required Background & Experience:, • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience., • At least 4 years of relevant software engineering experience., • Strong proficiency in TypeScript with hands-on experience building applications in Next.js., • Solid Python development skills., • Working knowledge of WebSocket protocols and real-time communication patterns., • Experience with containerized deployments (Docker, Kubernetes, or similar)., • Strong communication skills and a collaborative mindset, you'll be working across disciplines daily., • Comfortable operating in a fast-paced environment where software meets physical systems. Preferred Qualifications: • Exposure to robotics, industrial automation, or manufacturing systems., • Experience with cloud platforms such as Azure or AWS., • Familiarity with CI/CD tooling (e.g., GitHub Actions)., • Background in building real-time data visualization or monitoring dashboards., • Interest in the intersection of software, robotics, and advanced manufacturing. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position. In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Manufacturing Engineer – Machine Production to join our growing team and help scale the next generation of robotic manufacturing systems. In this hands-on role, you will support the production ramp and process development of our RoboCraftsman forming cells, working at the intersection of robotics, advanced manufacturing, and production engineering. You will play a key role in transitioning engineering designs into scalable manufacturing systems, optimizing material flow, assembly processes, and facility layout while supporting the evolution of our robotic forming technology. This role is ideal for engineers who thrive in fast-paced environments and enjoy solving complex manufacturing challenges while bringing innovative hardware systems from early builds into reliable production. Key Responsibilities: • Support the scaling and development of Machina Labs’ RoboCraftsman forming cells, including optimizing assembly processes as production transitions from low-volume builds to higher-volume manufacturing., • Manage Bills of Materials (BOMs) by converting Engineering BOMs (EBOMs) into Manufacturing BOMs (MBOMs) structured for efficient material flow, routing, and assembly operations., • Design and develop jigs, fixtures, and tooling to support assembly, handling, and lifting operations; perform simulations and Finite Element Analysis (FEA) to validate designs and ensure performance and reliability., • Develop detailed work instructions, assembly procedures, method sheets, and in-process documentation to ensure repeatability, quality, and process consistency., • Support production planning activities including job planning, routing development, and scheduling; utilize ERP/MRP systems to manage work orders and coordinate production activities., • Partner with facilities and production leadership to support facility build-out and production cell optimization, applying Lean Manufacturing and 5S principles to improve workflow, reduce waste, and increase throughput., • Estimate manufacturing costs, develop time standards, and recommend tooling or equipment requirements for new or evolving product lines., • Collaborate closely with engineering teams to evaluate designs for manufacturability (DFM) and support engineering changes including ECOs, ECRs, first article inspections, and process improvements., • Work directly with production teams to troubleshoot technical issues, resolve bottlenecks, and improve process reliability in a fast-paced manufacturing environment., • Maintain accurate manufacturing documentation, reporting systems, and operational records to support production and continuous improvement initiatives.Required Background & Experience:, • 5+ years of Manufacturing or Operations Engineering experience in production environments, preferably in advanced manufacturing, robotics, aerospace, defense, or automotive industries involving complex assemblies., • Proven experience supporting low- to mid-volume production environments, including stabilizing processes, scaling operations, and managing engineering changes such as ECOs and process improvements., • Strong experience managing BOM structures, including converting EBOMs to MBOMs for efficient manufacturing workflows., • Proficiency designing production fixtures, jigs, and tooling using 3D CAD software such as SolidWorks, NX, or similar platforms; experience performing simulations and FEA analysis., • Strong understanding of manufacturing processes, equipment design, and process engineering principles, including Lean Manufacturing and 5S methodologies., • Experience developing work instructions, routings, assembly procedures, and process documentation., • Familiarity with ERP/MRP systems for production planning, work order management, scheduling, and material tracking., • Proficiency in 2D and 3D CAD for system layouts, schematics, and integrated mechanical system design., • Strong communication and collaboration skills with the ability to work across engineering, production, and leadership teams., • Proficiency with Microsoft Office Suite.Preferred Qualifications:, • Experience working with robotic or automated manufacturing cells, incremental sheet forming, or similar advanced manufacturing technologies., • Background in high-precision, low-volume production environments supporting mission-critical applications such as aerospace or defense structures., • Demonstrated focus on process repeatability, operational efficiency, and translating design intent into scalable manufacturing solutions. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills, qualifications, and geographic location. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking an Accounting Manager to help build and scale the accounting infrastructure that supports our next-generation robotic manufacturing platform. In this role, you will operate at the intersection of accounting and operations, developing the processes and financial infrastructure that enable accurate, timely, and scalable financial operations. You will work closely with Finance, HR, and cross-functional teams while overseeing our external accounting partner, progressively bringing key processes in-house as the company grows. This role is ideal for someone who enjoys building from the ground up - combining strong accounting fundamentals with a systems and operational mindset - while contributing to the development of a modern, scalable finance function in a high-growth, engineering-driven environment. Key Responsibilities: • Lead the monthly close process, ensuring accuracy, completeness, and timeliness of financial data, and drive close execution end-to-end., • Own and optimize the relationship with external accounting providers, progressively transitioning key activities in-house., • Manage the preparation and review of journal entries, balance sheet reconciliations, accruals, and maintenance of the Company’s chart of accounts., • Ensure integrity and consistency of financial data across systems, supporting reliable reporting and decision-making., • Partner cross-functionally with engineering, operations, and finance to support accurate billing, cost tracking, and financial operations., • Design and implement scalable processes for expense management, payroll, and financial controls, reducing manual work through systems and automation., • Support the improvement and scaling of the ERP system to enable efficient and reliable financial operations., • Build the foundation of an internal accounting function, including processes, documentation, and systems, with a path to developing and leading the future accounting team.Required Background & Experience:, • 5-8 years of progressive accounting experience., • Bachelor’s degree in Accounting, Finance, or related field., • Strong foundation in accounting principles (GAAP) and core accounting processes., • Hands-on experience with journal entries, accruals, and balance sheet reconciliations., • Experience participating in or owning the monthly close process., • Proven ability to manage and improve accounting processes in a dynamic environment., • Strong analytical, communication, and organizational skills with a focus on process improvement.Preferred Qualifications:, • CPA designation or active CPA candidacy., • Experience in a startup or high-growth environment with a focus on improving accounting processes and workflows., • Exposure to cost accounting and project-based accounting., • Familiarity with government contracting or government accounting requirements, • (e.g., FAR, cost accounting standards)., • Familiarity with ERP systems (NetSuite experience a plus)., • Systems-oriented mindset with interest in automation and scalability., • Experience working with external accounting firms or auditors. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior Product Manager to lead the development of software systems that translate digital designs into robotic manufacturing instructions. At the core of Machina’s platform is a software stack that converts CAD models into precise robotic toolpaths used to drive our RoboCraftsman manufacturing cells. This role will contribute to shaping the product direction for our pre-cell software tools, including path planning and slicing applications, geometric simulation for collision detection and validation, and factory coordination systems that support production operations across multiple facilities. You will define product strategy, manage the software roadmap, and lead sprint execution while working closely with engineers and internal users. This role partners directly with robotic processing engineers, and manufacturing teams who rely on these tools daily, ensuring the software enables efficient, reliable robotic manufacturing at scale. The Senior Product Manager will also collaborate closely with the Product Lead and executive leadership to ensure software development aligns with Machina Labs’ broader product and manufacturing strategy. Key Responsibilities: Own the Software Tools Roadmap: • Define and drive the roadmap for Machina Labs’ pre-cell software tools., • Prioritize product initiatives, manage tradeoffs, and communicate product direction to engineering and leadership teams., • Align software development priorities with broader company product and manufacturing goals.Lead Development of Path Planning & Slicing Tools:, • Own the development of Machina’s path planning and slicing platform, which converts CAD inputs into robot programs., • Define the product vision and feature roadmap as the system evolves from a scrappy internal tool into a production-grade application., • Ensure the platform supports robust workflows for process engineers operating robotic forming systems.Develop Simulation & Validation Capabilities:, • Own geometric simulation capabilities used to verify toolpaths prior to execution., • Drive development of visualization, collision detection, and toolpath validation tools that ensure safe and reliable robotic execution., • Enable engineers to confidently validate robot programs before running them in production environments.Support Factory Coordination Software:, • Contribute to software systems that support coordination across multiple Machina Labs facilities., • Help define tools that support scheduling, quoting, and production tracking as the company scales manufacturing operations.Drive Product Execution:, • Run sprint planning and agile development cycles for the software team., • Write clear product requirement documents to guide engineering implementation., • Manage product delivery from discovery through release.User Research & Product Discovery:, • Conduct direct user research with Machina’s internal process engineers and manufacturing teams., • Develop a deep understanding of workflows, pain points, and opportunities for automation and efficiency improvements., • Translate user insights into product improvements and new feature development.Required Background & Experience:, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 5+ years of product management experience in technical software environments., • Proven experience delivering complex software products from concept through release., • Strong ability to define product problems, manage tradeoffs, and drive engineering execution., • Deep curiosity about users and ability to translate workflow needs into effective product solutions., • Experience collaborating closely with engineering teams in technical environments., • Excellent communication and stakeholder management skills.Preferred Qualifications:, • Master’s degree in a technical discipline, engineering field, or MBA., • Experience working with digital fabrication tools, such as 3D printing, CAM systems, or robotics software., • Prior experience building computationally complex software products, particularly involving geometry, path planning, or simulation., • Familiarity with manufacturing workflows, robotics systems, or advanced fabrication environments. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills, qualifications, and geographic location. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Software Engineer in Test (SET) to own quality, validation, and release execution across our software platform as we develop and deploy new features and services. This role is responsible for defining quality strategy for the software stack, validating release candidates, and supporting deployments to production. You will build automated testing infrastructure, execute validation of new features, triage software issues, and act as a gatekeeper for software releases. The role partners closely with software engineers and collaborates with robotics and automation engineers when software changes impact production cells. The ideal candidate combines strong software engineering fundamentals with deep experience in test automation, CI/CD pipelines, and production-grade release processes. Key Responsibilities: • Own and drive quality strategy for the software stack, including TypeScript, React, Next.js, Python, and Azure GCC High., • Define, formalize, and maintain test plans, test suites, and release criteria for software systems., • Execute smoke tests, regression tests, and system validation of release candidates., • Serve as release authority, approving or blocking promotion from release candidate to official production release., • Design, implement, and maintain automated testing and validation pipelines integrated with CI/CD., • Run tests and experiments for new features to validate functionality, performance, and reliability., • Support deployment of software releases to Azure, including monitoring and initial issue response., • Collect and synthesize feedback from users to inform quality improvements and testing priorities., • Triage and support software issues, performing initial investigation and escalating to engineering teams as needed., • Partner with Robotics and Automation Engineers in Test when required, including deployments to production cells, user support, and large-scale release validation., • Continuously improve testing tools, processes, and release workflows as the platform scales.Basic Qualifications:, • Bachelor’s degree in Engineering, Computer Science, or comparable practical experience., • Experience testing software systems, including writing test scripts or test code., • Hands-on experience with automated testing frameworks or tools., • Ability to debug issues across software and automation interfaces., • Strong problem-solving and communication skills.Preferred Qualifications:, • Experience testing industrial automation systems, robotics, or hardware-software integrated products., • Familiarity with CI/CD pipelines, versioned deployments, and release validation., • Experience supporting deployments and troubleshooting issues in production environments., • Background working in small, fast-moving engineering teams where quality ownership is critical. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills, qualifications, and geographic location. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is building software-defined factories that enable the rapid production of complex metal structures directly from digital design. By combining robotics, advanced metal forming, and automated production systems, we are redefining how parts move from prototype to full-scale production. Backed by Lockheed Martin, Toyota, and NVIDIA, we are building the manufacturing infrastructure powering the next generation of aerospace, defense, and advanced mobility systems. Role Overview: Machina Labs is seeking a Quality Inspector within Machine Prodcution to support and lead inspection activities for high-precision, flight-critical components. This role operates as a senior individual contributor on the production floor, responsible for executing inspections, owning quality outcomes, and driving process discipline. You will partner closely with manufacturing and engineering to ensure quality is built into the process, not just inspected at the end. Key Responsibilities: • Own and execute receiving, in-process, first article, and final inspections to ensure compliance with engineering specifications, GD&T, and customer requirements., • Perform inspection activities using precision measurement tools and advanced inspection methods (calipers, height gages, scanners, portable CMMs as applicable)., • Maintain accurate, audit-ready documentation and full traceability within MES/ERP systems., • Identify, document, and support resolution of nonconformances, including MRB participation and corrective action follow-through., • Ensure measurement system integrity, including calibration tracking and removal of out-of-tolerance equipment., • Proactively identify quality risks on the shop floor and partner cross-functionally to drive timely resolution., • Act as a subject matter expert in inspection methods, supporting standardization and best practices., • Mentor and support junior inspectors, reinforcing quality standards and inspection discipline., • Contribute to continuous improvement efforts to improve first-pass yield and reduce defects.Required Qualifications:, • High school diploma or equivalent., • 5+ years of quality inspection experience in aerospace, defense, or precision manufacturing., • Strong ability to read and interpret engineering drawings, GD&T, and specifications., • Advanced experience with precision measurement tools and inspection techniques., • Working knowledge of AS9100 and AS9102 (FAI requirements)., • Experience with MES/ERP systems for inspection documentation and traceability., • Demonstrated ability to independently own inspection scope and make quality-driven decisions., • Must meet U.S. export control (ITAR) requirements.Preferred Qualifications:, • Experience with portable CMMs, laser scanning, or large-part inspection systems., • Familiarity with inspection software such as PolyWorks, PC-DMIS, Verisurf, or InspectionXpert., • Experience supporting MRB, NCRs, and corrective action processes., • Knowledge of weld inspection standards (AWS D17.1)., • Exposure to supplier quality and aerospace prime requirements., • Experience mentoring or guiding junior team members.Work Environment:, • Onsite role based in Chatsworth, CA., • Shop environment with exposure to active manufacturing conditions., • Ability to stand for extended periods and perform repetitive inspection tasks., • Ability to lift up to 50 lbs. and work around large assemblies., • Flexibility to support extended hours or weekends as needed. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills and qualifications. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description Machina Labs is seeking a Production Manufacturing Technician to support the production of parts utilizing the Roboform system. This hands-on role focuses on executing precision assembly work in a structured production environment, following standardized processes to meet safety, quality, and delivery targets. Production Technicians work closely with production leads and engineering to maintain throughput, traceability, and continuous improvement as production scales. Key Responsibilities: • Set up, operate, support, and maintain Machina Labs Roboform cells., • Handle large sheet metal, including cutting materials to size using a shear, loading sheets into Roboform machines, and unloading formed parts using electromechanical clamping systems via HMI., • Record work order progress, material usage, and deviations in ERP systems to ensure traceability., • Perform secondary finishing operations, including trimming, deburring, grinding, and coating., • Follow standardized production processes and contribute feedback on tooling and workflow improvements., • Support cross-training and assist in training team members as production scales.Required Background & Experience:, • High school diploma or equivalent., • 1+ year of fabrication-related experience (machining, welding, fitting, aerospace structures, etc.)., • Strong attention to detail and quality ., • Comfortable with a mix of repetitive and new, one-off work., • Able to adapt to constantly changing work assignments and a fast-paced work environment., • Proficiency with common hand and power tools. (Ratchets, Sockets, Screw drivers, Hammers, Impact guns, Clamps, Circular and Reciprocating saws, deburr tools, handheld cut-off wheel tools)., • Ability to read mechanical drawings, schematics, and understand geometric tolerances., • Basic computer proficiency, including ERP systems, Outlook email, Teams, and common productivity tools., • Effective communication skills in a team-based production environment., • Must be available for 2nd shift (2 PM - 10:30 PM)., • Ability to pass background screening requirements (including ITAR compliance). Preferred Qualifications:, • 3+ years of experience in mechanical fabrication or production environments., • Experience with sheet metal forming, finishing, and fit-up operations., • Experience with hydraulic and pneumatic systems, including basic troubleshooting., • Experience operating CNC equipment., • Experience operating forklifts or handling large materials., • Basic electrical wiring knowledge and familiarity with sensors, PLCs, or industrial systems.Safety & Physical Requirements:, • Ability to support production schedules, including extended hours or occasional weekends., • Ability to perform repetitive physical tasks, including bending, lifting, and fine motor work., • Comfortable working in a manufacturing environment with industrial equipment, noise, and chemicals, using appropriate PPE., • Ability to stand for extended periods and lift up to 50 lbs unassisted., • Ability to climb ladders, work in confined spaces, and operate safely around industrial equipment and materials.In addition to the provided hourly rate, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: We are looking for a Senior Technical Recruiter with a strong focus on software engineering hiring to help scale Machina Labs’ most critical teams. This role goes beyond filling open roles. You will be responsible for building high-caliber engineering teams that directly impact the company’s ability to execute. You will own full-cycle recruiting across backend, frontend, infrastructure, robotics software, AI and machine learning roles, partnering closely with technical leadership to define hiring strategy and attract top-tier talent. You will operate as both a strategic partner and hands-on executor, driving sourcing excellence, elevating candidate quality, and ensuring we consistently hire engineers who raise the bar. This role is responsible for executing recruiting across all functions, while prioritizing critical technical hiring needs across software, infrastructure, robotics software, and AI/ML. You will play a key role in shaping how Machina Labs attracts, engages, and hires top talent in competitive markets. Success in this role requires a proactive, market-driven approach to recruiting. You will leverage a combination of outbound sourcing, social platforms, talent communities, and employer branding to build consistent pipelines of high-caliber candidates. This is a highly visible role that partners closely with leadership and directly impacts the company’s ability to scale. Key Responsibilities: • Lead full-cycle recruiting across all roles, with primary focus on software engineering and technical hiring priorities., • Build and execute proactive sourcing strategies using LinkedIn, GitHub, social media platforms, professional communities, and referral networks., • Develop creative outreach approaches to engage passive candidates and expand talent pipelines beyond traditional channels., • Partner with hiring managers to align on role requirements, candidate profiles, and hiring priorities., • Drive pipeline quality and consistency for high-impact and hard-to-fill roles., • Manage and prioritize multiple searches simultaneously in a fast-paced environment., • Ensure a high-quality candidate experience from initial outreach through offer stage., • Maintain accurate tracking, reporting, and pipeline visibility within ATS systems, • Continuously identify new sourcing channels, tools, and strategies to improve hiring outcomes.Required Background & Experience:, • 6+ years of full-cycle recruiting experience, with strong emphasis on software engineering hiring., • Proven success sourcing and closing passive technical candidates., • Deep understanding of software engineering roles and technical skill sets., • Experience leveraging multiple sourcing channels including social media, communities, and outbound recruiting., • Ability to manage multiple priorities with strong organization and ownership., • Data-driven mindset with ability to track and improve recruiting performance., • Strong communication and stakeholder management skills. Preferred Qualifications:, • Experience recruiting in robotics, AI/ML, infrastructure, or hardware-software integrated environments., • Background in high-growth or startup environments., • Experience building or scaling recruiting strategies and processes., • Strong track record hiring senior and specialized technical talent., • Experience with employer branding, outbound campaigns, and talent marketing initiatives. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills, qualifications, and geographic location. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Machine Production Technician to support the serial production of Roboform, our robotic sheet-metal forming systems. This hands-on role focuses on executing precision assembly work in a structured production environment, following standardized processes to meet safety, quality, and delivery targets. Production Technicians work closely with production leads and engineering to maintain throughput, traceability, and continuous improvement as production scales.Key Assembly-Focused Responsibilities: • Setup, operate, maintain, and support Machina Labs Roboform cells., • Perform secondary finishing operations including trimming, deburring, grinding, and coating., • Assemble mechanical frames, sub-assemblies, and complete Roboform cells using released CAD files, assembly drawings, and work instructions., • Perform HV/LV wiring, cable routing, and electrical enclosure assembly in compliance with IPC/WHMA-A-620 standards., • Install and connect hydraulic and pneumatic systems, including hose fabrication (1/4"–1"), valves, pumps, manifolds, and actuators., • Execute structural upfits and modifications (drilling, tapping, cutting, deburring, touch-up finishing)., • Safely rig, lift, and position heavy components (up to 15 tons) using forklifts, cranes, and approved lifting plans., • Execute functional testing, system integration (including Fanuc/Kuka robot setup), and verification steps to ensure cells meet production specifications., • Record assembly progress, material usage, and deviations in ERP systems to ensure traceability., • Contribute improvement feedback and support cross-training as production scales., • Follow standardized processes, contribute feedback on tooling/workflow improvements, and help train team members as production scales.Basic Qualifications:, • High school diploma or equivalent., • 1+ year of fabrication related experience (machining, welding, fitting, etc.), • 3+ years of hands-on mechanical, electrical, or hydraulic assembly experience., • Ability to read mechanical drawings, schematics, and understand geometric tolerances., • Experience with hydraulic/pneumatic systems, assembly, troubleshooting, and hose fabrication., • Proficiency with common hand and power tools., • Basic computer proficiency, including ERP systems and common productivity tools., • Effective communication skills in a team-based production environment., • Ability to pass background screening requirements (including ITAR compliance).Preferred Qualifications:, • Hands-on experience working with industrial robotic and automated systems; Fanuc or Kuka platforms preferred., • Working knowledge of CAD and PDM systems for accessing and interpreting released design files (e.g., SolidWorks)., • Certified or demonstrated proficiency in IPC/WHMA-A-620 standards for cable and harness assembly., • Proven ability to safely rig, lift, and position heavy industrial components using cranes, forklifts, or similar equipment., • Experience performing precision machining and fit-up operations, including drilling, reaming, countersinking, and tapping close-tolerance holes.Safety & Physical Requirements:, • Ability to safely work assigned shifts, including extended hours and occasional weekends, in support of production schedules., • Capability to perform repetitive tasks involving bending, twisting, and fine motor hand movements while maintaining safe work practices., • Comfort working in a manufacturing environment with exposure to shop noise, industrial equipment, and common production chemicals (e.g., coolants, solvents, cleaners, paint), using required PPE., • Ability to stand for extended periods and safely lift, carry, and handle materials or equipment up to 50 lbs. unassisted., • Ability to safely climb ladders, work in confined spaces, and participate in approved rigging and lifting operations for heavy components. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.Actual compensation will be determined based on experience, skills, qualifications, and geographic location. In addition to the provided base salary range, comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options.Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFurientis is building a new class of defensive interceptor missile for the United States and its allies. We design, build, and produce these systems end-to-end, from physics through manufacturing, at production rates legacy primes cannot match and at a fraction of the cost. We recruit engineers who internalize the warfighter's problems and bring deep mastery of the relevant technologies, without the institutional inertia that has slowed the legacy primes. Work done at Furientis has meaning. About the Team The Seeker Team builds the eyes and the targeting logic of our weapon system: a low-cost, mass-producible, multimodal missile seeker that leans on commercial supply chains where they outperform the defense legacy, with supply-chain security engineered in from day one. On a modern missile, the seeker is 40 to 60% of unit cost and often drives overly long delivery cycles; accordingly, the seeker team is at the tip of the spear for delivering value to our customers and to the taxpayer. Seeker design has exactly two real constraints: physics and mission. Supply chain, vendor lead time, qualification cost, "the way it's always been done": none of that stops us. We are a small, deeply technical team that drives capability through ingenuity and bias for action and ships hardware that flies. This is a wear-many-hats environment where you must be comfortable "building the airplane in flight" and stepping well outside your comfort zone; a narrowly scoped role with clean handoffs is not what this team offers. This is an AI-native team. Through fluent use of cutting-edge agentic coding tools, one engineer here consistently out-delivers a much larger conventional team. You will have opinions about where these tools help and where they do not, provide governance input, and build AI into your workflow from day one. About the Role You will execute the design, layout, bring-up, and qualification of the boards and SoMs that make our seeker run: FPA and image-sensor interface, GPU SoC / SoM carrier, high-speed digital and low-noise analog signal chains, shared-memory data plane between sensor and compute, power architecture from missile bus to detector bias rails, and the low-level firmware that brings it all up. This is a hands-on role for an engineer who can take a design from blank schematic to first-light bring-up to a low-latency CUDA pipeline running on an SoM in days, not months, and who thinks about manufacturability and second-source risk before the first prototype is built. What You'll Do • Develop and bring up mixed-signal boards centered on a GPU SoC or SoM (NVIDIA Jetson/Orin, Qualcomm, NXP, or similar): high-speed image-sensor interface, low-noise analog chain, power conversion, and missile-bus IO., • Architect and implement the high-speed image-sensor interface (LVDS, MIPI CSI-2, CameraLink, SLVS-EC, SerDes) end-to-end from sensor pinout to SoM ingest, including timing, signal integrity, and zero-copy DMA into GPU-accessible memory., • Stand up the on-board compute path on GPU SoCs: CUDA pipelines, TensorRT inference, and shared-memory/zero-copy data movement from capture to inference, hitting hard latency and jitter budgets., • Write low-level firmware, drivers, and bring-up tooling in Rust and Python: device-tree, sensor configuration, board diagnostics, automated bench tests, and the on-the-wire serialization layer (protobufs or equivalent)., • Execute schematic capture and PCB layout (Altium, Cadence, or KiCad), or partner with a layout designer when complexity warrants. Carrier-board design for the chosen SoM as required., • Drive the power chain from missile bus to FPA bias rails (sequencing, low-noise LDOs, switching regulation, transient response, isolation), with component selection that bakes in cost, lead-time, second-source, and rad-tolerance from day one., • Bring up boards on the bench (scope, logic analyzer, BERT, thermal imaging, rework iron) and chase low-latency, jitter-sensitive timing bugs to their physical root., • Execute EMI/EMC qualification per MIL-STD-461 and environmental qualification per MIL-STD-810; partner with mechanical on conformal coating, staking, thermal interfaces, and survivability., • Bake DFM and DFT in from the start: CM engagement, ICT/AOI, board-level test fixtures, and a clear path to volume.Skills We're Hiring For, • B.S. in Electrical Engineering, Computer Engineering, or related; M.S. preferred., • 4 to 6 years of mixed-signal hardware and firmware bring-up experience, with responsibility for at least one board (ideally with an SoM carrier) from schematic through bench validation., • Strong fundamentals across high-speed digital (signal integrity, controlled impedance), low-noise analog, and power conversion., • Hands-on with high-speed image-sensor interfaces (LVDS, MIPI CSI-2, CameraLink, SLVS-EC, or SerDes) end-to-end from sensor to compute. Non-negotiable., • Production CUDA experience: shipped real CUDA code, not dabbled. Reasons about kernels, memory layout, occupancy, streams, and host-device transfer cost; at the level needed to debug a stalled pipeline on an Orin., • SoMs and shared-memory ecosystems (Jetson family or equivalent): zero-copy and unified-memory patterns, getting sensor data into GPU-accessible memory without copies you can't afford., • Experience or strong willingness to work in Rust and Python for firmware, drivers, bring-up tooling, and low-latency host-side code., • Hands-on TensorRT: model conversion, calibration, plugin integration, and deployment into a real on-board inference pipeline., • Low-latency, jitter-sensitive applications: deterministic timing budgets, real-time scheduling, interrupt and DMA latency analysis., • Schematic and PCB tooling proficiency (Altium, Cadence, or KiCad) with practical layout judgment. Comfortable on the bench (scope, logic analyzer, soldering iron, rework)., • AI-native working style: daily use of agentic coding tools (Claude Code, Codex, OpenCode, Kilo, or similar) for firmware, test-bench scripts, component selection, and schematic/layout review.Bonus Points For, • NVIDIA PVA, Qualcomm Hexagon, OpenCL, or other heterogeneous-compute runtimes beyond CUDA., • Direct experience interfacing to IR detectors, focal-plane arrays, or ROICs (cooled or uncooled)., • Carrier-board design experience for a commercial SoM., • High-volume or DFM experience: walked a board through CM bring-up at production rate., • MIL-STD-461, MIL-STD-810, MIL-STD-1553, RS-422, or Ethernet-over-physical-layer qualification experience., • Direct missile, munition, ISR, or aerospace-qualified hardware program experience. Eligibility & Logistics Location: On-site at our Los Angeles, CA HQ; remote work is not available. Monthly weekend travel for test events and supplier engagements. Clearance: Must be a U.S. Person and eligible to obtain a U.S. SECRET security clearance. Active clearance is not required at hire; we will sponsor. Equal Opportunity & Export Compliance Furientis is an equal-opportunity employer. To comply with U.S. export control laws, employment is contingent on eligibility to access export-controlled information. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability. This is a hands-on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real-world manufacturing challenges, we’d love to hear from you. Key Responsibilities: • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes., • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation., • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure., • Leverage Databricks and Apache Spark for large-scale data processing and model development., • Collaborate with cross-functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows., • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges., • Write clean, well-documented, and production-quality Python code., • Communicate findings, results, and recommendations to both technical and non-technical stakeholders., • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges., • Write clean, well-documented, and production-quality Python code., • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.Required Background & Experience:, • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience., • Strong experience designing, building, training, and testing machine learning models end-to-end., • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction., • Proficiency in Python for ML development, data processing, and scripting., • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure., • Experience with Databricks and Apache Spark for data engineering and model development.Preferred Qualifications:, • Machine learning experience in CAD and computational geometry applications., • Experience working in the industrial or manufacturing space., • Experience with robotics, including robotic perception, control, or planning. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position. In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.