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Central.jpg

Software Engineer - AI Employee

Central
USD
0
180000
-
250000
US.svg
United States
Full-time
Remote
true
About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.
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Central.jpg

Software Engineer - Accounting

Central
USD
180000
-
250000
US.svg
United States
Full-time
Remote
true
About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.
Software Engineer
Software Engineering
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Central.jpg

Software Engineer - Benefits

Central
USD
0
180000
-
250000
US.svg
United States
Full-time
Remote
true
About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.
Software Engineer
Software Engineering
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Central.jpg

Software Engineer - Payroll

Central
USD
0
180000
-
250000
US.svg
United States
Full-time
Remote
true
About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.
Software Engineer
Software Engineering
Apply
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Lambda.jpg

Senior Manager - Security Incident Detection and Response

Lambda AI
USD
0
360000
-
540000
US.svg
United States
Full-time
Remote
false
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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.Reporting to the Head of Security, you'll lead the Detection & Response team that acts as an intelligent backstop—ensuring Lambda is the safest place to build with AI by catching security issues in real-time while enabling our business to move at hypergrowth velocity. Your team will transform reactive security operations into a proactive threat management engine, dedicating the majority of their effort to automation, threat hunting, and capability building rather than constant firefighting.Your team will directly affect customers’ trust in the safety of their data by implementing enterprise-grade detection capabilities, automating incident response workflows, and hardening our multi-cloud and bare metal infrastructure while you are building sustainable programs where senior engineers thrive solving novel security challenges. With unique access to LLMs hosted on our own infrastructure, your team will pioneer AI-powered security solutions that wouldn't be possible anywhere else. Key priorities include 24/7 operational coverage, maintaining customer trust through rapid incident response, and delivering a comprehensive D&R strategy within your first 6 months.If you're excited about building security operations so efficient that they're "almost boring," where automation handles the routine so your team can focus on the novel, we want to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Senior Manager role. Your application is not a waste of our time.What You’ll DoTeam Leadership & Management:Build, hire, and lead a high-performing Detection & Response team that can scale with Lambda's hypergrowth while maintaining 24/7 operational excellenceDefine team processes, culture, and operating rhythms that balance startup agility with security discipline, creating an environment where senior engineers thrive on automation and novel challengesConduct regular one-on-ones, provide constructive feedback, and create clear career development paths that help security engineers advance their technical and leadership skillsDrive outcomes by managing project priorities, deadlines, and deliverables while establishing our blameless post-incident culture focused on systemic improvements rather than individual accountabilityTechnical Strategy & Execution:Define and implement threat management frameworks that transform reactive security operations into proactive threat hunting and detection, establishing automation standards that eliminate repetitive work and enable your team to focus on novel challengesArchitect incident response processes and escalation frameworks that protect Lambda from impact while scaling with the company’s growthGuide technology choices and evangelize new security tools, including pioneering AI-powered detection capabilities using our direct access to state-of-the-art LLMsStrategic Collaboration & Business Impact:Create data-driven insights showing where we are reacting most frequently to guide investments in preventative controlsPartner with Product and Platform engineering teams to evolve our detection and response capabilities as Lambda’s infrastructure growsEstablish executive reporting that translates technical incidents into business impact while maintaining a blameless culture focused on systemic improvementsOperational Excellence & Scaling:Drive weekly operations reviews that ensure nothing falls through the cracks while building institutional knowledge and defining repeatable processes from every incidentDefine sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineersEstablish the team's 6-month strategic roadmap for comprehensive D&R capabilities while defining success criteria and measurable outcomesWhat We Think a Candidate Needs to Demonstrate to Succeed10+ years of security experience with 5+ years leading technical teams, demonstrating ability to build and manage independentlyProven ability to define and build security programs from the ground up that accelerate business initiatives, with demonstrated experience establishing team processes, technical frameworks, and cross-functional partnershipsExcellence at building automation-first security programs where technology eliminates toil and teams never do the same thing twiceClear understanding of the unique requirements of securing a cloud infrastructure providerProven ability to create sustainable team cultures where senior engineers thrive long-term rather than burning out on repetitive tasksStrong judgment in security response, understanding real business impact and calibrating actions proportionallyTrack record of translating technical security work into executive communications and business-aligned metricsThrives in high-ambiguity environments where you must build structure while executing at startup paceNice to HaveExcitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations—imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.Experience building D&R programs at AI/ML companiesTrack record using AI/ML for security operations automation (yes, we know it’s all brand new)Background scaling security during hypergrowth (10x growth phases)Deep technical background allowing hands-on contribution when neededExperience with both build and buy decisions for security toolingExperience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.Salary Range InformationThe 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.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur 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 profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.
DevOps Engineer
Data Science & Analytics
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Liquid AI.jpg

Member of Technical Staff - Applied ML Lead

Liquid AI
-
US.svg
United States
Full-time
Remote
true
Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You enjoy spearheading customer engagements and orchestrating our implementation of Liquid Foundation Models (LFMs) to bridge the gap between customer needs and technical implementationYou thrive at the intersection of deep technical expertise and strategic leadership; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless executionYou're comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customersDesired Experience:You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery managementYou possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategiesYou excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teamsYou can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customersYou have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specificationWhat You'll Actually Do:Own end-to-end customer relationships from technical discovery through implementation and success validationTranslate customer use cases into detailed technical implementation plans for the Applied ML Engineering teamConduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteriaBuild and maintain the technical roadmap for each customer engagement, identifying risks and dependencies earlyServe as the escalation point for complex technical challenges encountered during implementationsCollaborate with product and engineering teams to align customer needs with our product roadmapDevelop reusable implementation patterns and technical assets that accelerate future customer engagementsWhat You'll Gain:The opportunity to define how cutting-edge LFM technology transforms businesses across industriesLeadership experience building a high-performing technical implementation function from the ground upVisibility across the entire customer lifecycle, from initial engagement through successful deploymentThe satisfaction of seeing your technical vision translated into tangible customer outcomes that redefine what's possible with foundation modelsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.
Machine Learning Engineer
Data Science & Analytics
Solutions Architect
Software Engineering
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HP IQ.jpg

Senior Antenna Engineer

HP IQ
USD
0
140000
-
225000
US.svg
United States
Full-time
Remote
false
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Wireless Technology Team works cross-functionally with electrical engineering, software, product design, industrial design, program management, and operations to deliver successful products to market. As a Senior Antenna Engineer, you will drive the product from conception to production. This includes simulations, prototyping, measurements (in the field and in the lab, both active and passive), writing antenna specifications and test plans, reviewing compliance lab reports, and leading efforts to resolve antenna-related challenges that arise. What You Might Do Architect and design high-performance antennas throughout the full product development cycle. Drive EMI and RF desense mitigation through advanced simulations and testing to meet regulatory and performance requirements. Partner with manufacturing teams to ensure robust, high-quality antenna system implementation. Utilize industry-standard tools (XFDTD, HFSS, CST, etc.) for accurate simulation modeling; perform material characterization, prototype development, and anechoic chamber measurements (ETS). Generate clear, data-driven reports and presentations to communicate findings and design decisions. Innovate antenna solutions optimized for small form-factor devices. Collaborate closely with internal cross-functional teams and external JDM/CM partners to successfully launch wireless products to market. Essential Qualifications 5+ years of experience shipping high-volume consumer electronics products with multiple wireless communication technologies. Deep expertise in antenna design and electromagnetics, with proven experience delivering antennas for consumer electronics and wearable devices. Proficient in EM simulation tools (ANSYS HFSS, CST) and skilled in Matlab or equivalent platforms for data analysis and post-processing. Hands-on experience with RF lab equipment, including 3D anechoic chambers, VNAs, and spectrum analyzers for antenna and RF subsystem validation. Strong ability to balance cost, performance, and form factor trade-offs in antenna development for compact wearable designs. Solid understanding of carrier certification processes and regulatory compliance (FCC, CE, etc.) to ensure product readiness for global markets. Hands-on experience measuring system performance parameters such as sensitivity, EVM, S-parameters, emissions, stability, and output power. Ability to travel to factories to support builds. Preferred Skills Passionate about working in highly creative, fast-paced, and collaborative teams alongside industrial designers, software engineers, and UX designers. Experience with Python and ADS for RF simulation and test automation. Experience with schematic capture and circuit board layout design tools. Knowledge of PCB design and efficiency in using Cadence tools (CIS, Allegro). Ability to drive tasks independently and communicate issues/root-cause analysis clearly. Strong presentation skills with experience engaging senior leadership. Salary range: $140,000 - $225,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
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Snorkel AI.jpg

Enterprise Account Executive: Data-as-a-Service

Snorkel AI
-
US.svg
United States
Remote
false
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!At Snorkel AI, we’re solving one of the biggest bottlenecks in enterprise AI: high-quality labeled data. Our Data-as-a-Service (DaaS) offering combines the power of programmatic data labeling and human-in-the-loop workflows to deliver training datasets faster, with higher accuracy, and at a fraction of the manual cost. Unlike traditional data labeling vendors, which rely heavily on manual processes, Snorkel AI’s approach is automated, iterative, and built for customization at scale. Backed by years of Stanford research and trusted by leading Fortune 500 enterprises and government agencies, Snorkel helps teams ship ML products faster by transforming how training data is created. We’re looking for a strategic and consultative Enterprise Account Executive to drive growth of our DaaS offering among large and innovative enterprises. This role is ideal for someone who understands the limitations of manual labeling and is ready to offer customers something more scalable, customizable, and impactful. If you're excited about selling differentiated, next-generation solutions that redefine an entire category, we’d love to talk. Key Responsibilities: Own the end-to-end multi-stakeholder, consultative sales process for Snorkel AI’s Data-as-a-Service offering, targeting enterprise accounts with a focus on long-term customer success. Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process. Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment. Translate those challenges into tailored DaaS solutions, working closely with our technical and delivery teams. Differentiate Snorkel’s value vs. traditional labeling platforms by emphasizing automation, iteration, and quality. Work closely with Solutions Engineers and Delivery teams to design and scope pilot and production engagements. Contribute market intelligence and customer feedback to Product and Marketing teams Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM. Qualifications: 5+ years of enterprise sales experience in AI/ML, data services/ infrastructure, or technical services. Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders. Experience selling in a competitive space where you had to position against entrenched incumbents or first-generation technologies. Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams. Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack. Comfort navigating both technical and business value conversations. Excellent storytelling and value-based selling skills. Ability to thrive in a fast-paced, collaborative, and rapidly changing environment. Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble. Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred). Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Enterprise Sales
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Senior Agent Product Manager

Decagon
USD
200000
-
285000
US.svg
United States
Full-time
Remote
false
About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $285K + Offers Equity
Product Manager
Product & Operations
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Detection and Response Engineer

Cerebras Systems
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IN.svg
India
Remote
false
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The Role We are seeking an exceptional Detection and Response Engineer to serve on the front lines, where you will build systems to detect threats, investigate incidents, and lead coordinated response across teams. The right candidate brings hands-on experience creating reliable detections, automating repetitive tasks, and turning investigation findings into durable improvements to our security program, with an interest in exploring AI-driven automation. Responsibilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents. Investigate security events and participate in incident response, including on-call responsibilities. Automate investigation and response workflows to reduce time to detect and remediate incidents. Build and maintain detection and response capabilities as code, applying modern software engineering rigor. Explore and apply emerging approaches, potentially leveraging AI, to strengthen our security posture. Document investigation and response procedures as clear runbooks for triage, escalation, and containment. Skills And Qualifications 3–5 years of experience in detection engineering, incident response, or security engineering. Strong proficiency in Python and query languages such as SQL, with the ability to write clean, maintainable, and testable code. Practical knowledge of detection and response across cloud, identity, and endpoint environments. Familiarity with attacker behaviors and the ability to translate them into durable detection logic. Strong fundamentals in operating systems, networking, and log analysis. Excellent written communication skills, with the ability to create clear documentation. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
DevOps Engineer
Data Science & Analytics
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Product Manager - AI Cluster Management Software

Cerebras Systems
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US.svg
United States
Remote
false
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role    As a Product Manager on the Cerebras AI Cluster Management software team, you will lead the roadmap and execution of an AI centric cluster management solution with special emphasis on Security and Observability. The Cerebras AI cluster management software is a strategic software product initiative intended to deliver Cerebras’s high performance AI benefits to on-premises customers and sovereign/neo clouds. Cerebras cluster management is intended to simplify deployment and maintenance for platform operators, making it easier to manage complex AI infrastructure at scale.    In your role, you will define the strategy, roadmap, direction and requirements for Crebras’s AI cluster software security, governance, compliance, observability and troubleshooting flows.   The management software will address the demanding needs of the most sophisticated datacenter operators and seamlessly integrate with the customer’s operational, security, compliance and governance flows.     This role offers the opportunity to shape a critical product that combines hardware, software, and systems to power AI deployments efficiently and reliably in diverse environments. If you are passionate about solving complex infrastructure challenges and building solutions that scale, this is the role for you.     Responsibilities  Define and deliver a world-class cluster management experience with a focus on observability, management, monitoring and security.   Collaborate with engineering to design reliable, scalable solutions and APIs tailored to cluster operator workflows.   Develop a deep understanding of cluster operator needs through user and market research.   Communicate product updates and roadmap progress clearly to internal and external stakeholders.   Skills & Qualifications  5+ years of product management experience, preferably in infrastructure observability and security domains.   Expert knowledge of security tools such as IAM, IDP, SIEM, Key management systems. Expert knowledge of observability solutions such as Prometheus, Grafana, log management systems, observability management systems.   Familiarity with cluster orchestration tools and concepts (e.g., Kubernetes).   Strong ability to think at the API and platform layers, designing solutions for operator workflows.   Excellent communication and collaboration skills, with the ability to work effectively across diverse teams.   Technical background (e.g., computer science, engineering) or the ability to engage deeply with engineering teams.   Proven ability to excel in a fast-paced, dynamic environment.   Preferred Skills & Qualifications  Experience in enterprise software, cloud infrastructure, or AI/ML platforms.   Understanding of security and authentication principles in software systems.   Familiarity with monitoring, telemetry, and fault tolerance in distributed systems.    Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Product Manager
Product & Operations
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English AI Trainer - Writers

Mindrift
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CA.svg
Canada
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Content Strategist
Marketing & Sales
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Staff Software Engineer, Edge Applications

Haydenai
USD
0
187000
-
260000
US.svg
United States
Full-time
Remote
true
About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.What the job involvesAs a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role.  You will be delivering high quality C++ code that runs on edge devices.You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems.Expect to collaborate with Product Management to translate customer needs to software solutions.Hayden is a startup. You will be working in an ambiguous, fast-paced environment.As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.ResponsibilitiesDeliver bullet-proof, rigorously tested C++ code.Iterate on our suite of real-time vehicle tracking and license plate reading systems.Refine and optimize cloud-side image and video processing.Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.Background in Machine Learning, Image Processing, Computer Vision, or a similar field.Minimum 7 years of industry experience.Strong programming proficiency in C++.Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand outIn-depth knowledge and experience with embedded systems development.Familiarity with CUDA/OpenCL programming and video processing pipelines.Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).Familiarity managing data processing and machine learning code via GitHub.Experience with iOS or Android mobile application development beyond UI.Experience with ROS or other robotics systems.
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Software Engineering
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Mechanical Engineer, Robot Ecosystem

Figure AI
USD
120000
-
180000
US.svg
United States
Full-time
Remote
false
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Mechanical Engineer to design, test, and implement key hardware components that are part of the robot ecosystem. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements. Build prototypes to test assembly, range of motion, and wire routing. Generate accurate 2D drawings using GD&T per ASME Y14.5. Work with our GSM team to select a supplier and order parts. Inspect first articles, build test stands, and provide continuous support for parts on robot development platforms. Requirements:  2+ years of experience in mechanical engineering. Bachelor’s or Master’s degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field. Expert in using 3D CAD software to design parts with complex geometry. Experience designing and building prototypes. Experienced with simulation and analysis methodology (FEA, MATLAB, etc.). Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience. Wire harness design experience. The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 
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Software Engineering
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Mechanical Engineer, Sustaining

Figure AI
USD
120000
-
180000
US.svg
United States
Full-time
Remote
false
Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration.  We are looking for a Mechanical Engineer to help sustain the fleet of robots rolling our incremental improvements targeted to improve reliability, design and feature improvements. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factor, and durability requirements.  Build prototypes to test assembly, range of motion, wire routing.  Generate accurate 2D drawings using GD&T per ASME Y14.5. Inspect first articles, build test stands, and continuously support part on robot development platforms.  Requirements:  5+ years of experience in mechanical engineering Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field Expert in using 3D CAD software to design parts with complex geometry Experience designing and building prototypes Experienced with simulation and analysis methodology (FEA, MATLAB etc.) Ability to write and maintain clean documentation for design processes.  Experience with electromechanical integration, such as sensors, motors, motor drivers, wire harnesses, and communication buses. Bonus Qualifications:  Experience with high volume manufacturing processes. Experience working with contract manufacturers. CATIA V6 Experience Wire harness design experience The US base salary range for this full-time position is between $120,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 
Robotics Engineer
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Software Engineer - All Levels

Figure AI
USD
130000
-
300000
US.svg
United States
Full-time
Remote
false
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Software Engineer (all levels) to write, troubleshoot, and maintain our end of line software for programming, calibrating, and verifying subassemblies. Responsibilities: Implement improvements to our existing end of line automation software Use results from full subassembly validation campaigns to write automation tests for new hardware from scratch Spend time on the manufacturing line understanding and responding to key pain points, including troubleshooting failures, improving visibility and debuggability, and increasing test coverage to catch downstream issues Develop user-friendly GUI screens for production technicians to operate Requirements:  5+ years of industry experience. Strong proficiency in writing Python and C++ for interfacing with real hardware including actuators, sensors, relays, etc Experience with common embedded stacks: Debian Linux, Ethernet, USB, SPI, UART, SCPI Capable of reading and interpreting electronic circuit diagrams and integrating sensors and actuators Strong understanding of best practices in software engineering Bonus Qualifications:  Bachelor’s or higher degree in Software, Mechanical, Electrical, or Controls Engineering Manufacturing software experience Previous work on mobile robots The US base salary range for this full-time position is between $130,000 and $300,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 
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Software Engineering
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Data Scientist Engineer

Nice
-
IN.svg
India
Remote
false
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices.   How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering.   Have you got what it takes?   Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 2-4 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.   You will have an advantage if you also have Basic AWS resource management, including microservice deployment. Containerization via Docker. Experience with both standard and AI-based testing frameworks such as PyTest and DeepEval. Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!   Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 8429 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  
Machine Learning Engineer
Data Science & Analytics
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Software Engineering
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Product Design Lead, AI Products

Glean Work
USD
235000
-
280000
US.svg
United States
Full-time
Remote
false
About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking an experienced design leader to define the future of our AI Products suite, transforming how businesses leverage AI. You'll lead the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, our enterprise intelligence platform, and 0→1 AI-native products. This role requires deep expertise in LLM system architecture and strong opinions about what makes exceptional enterprise AI user experiences. As Product Design Lead for AI Products, you'll join an experienced, tight-knit, and collaborative group who love combining research, data, and intuition into user-centered design. You'll have an outsized impact on how knowledge workers interact with AI daily, shaping experiences that fundamentally transform how companies access knowledge, create content, and make decisions. You will: Lead AI Products design strategy owning Glean's AI suite including research agents that retrieve and synthesize information, creation tools for AI-generated artifacts, and our enterprise intelligence platform that mines organizational knowledge. Translate LLM complexity into intuitive UX developing deep expertise in model capabilities and constraints, creating understandable, trustworthy experiences that build appropriate mental models. Create AI-powered research and creation experiences enabling employees to generate documents, presentations, and visualizations that are grounded in company data, follow brand guidelines, and maintain accuracy through intelligent citations. Create AI-powered research and creation experiences that synthesize cross-functional data, write documents, make presentations, and output visualizations that are grounded in company data, follow organizational guidelines, and maintain accuracy through intelligent citations. Drive 0→1 product innovation systematically identifying opportunities for AI-native products, rapidly prototyping breakthrough experiences, and scaling solutions that deliver step-changes in productivity Partner with product and engineering leaders to shape product capabilities, understanding technical constraints while pushing boundaries of what's possible in enterprise AI Guide team excellence, mentoring 3-4 senior designers while establishing clear design principles, incorporating user research to understand AI adoption patterns, and ensuring designs drive measurable outcomes About you: Experience: 10+ years in product design, including 3+ years designing AI/ML products, preferably LLM-based applications. AI expertise: Deep hands-on experience with LLM systems, translating system capabilities into intuitive, user-friendly enterprise products. Technical fluency: Strong background enabling detailed discussions about AI architecture, model capabilities, and implementation tradeoffs with engineering teams. Portfolio: Examples leading the design of sophisticated AI products at scale, ideally including agent-based systems, content generation tools, or intelligence platforms Leadership & impact: Track record of shipping successful AI products with measurable impact on user productivity and satisfaction, while guiding and mentoring other designers Location: This role is hybrid (4 days a week in our Palo Alto or San Francisco office, with periodic travel expected between the two) Compensation & Benefits: The standard base salary range for this position is $235,000 - $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID
Product Designer
Creative & Design
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Senior Product Manager, Code

Cohere
-
US.svg
United States
Full-time
Remote
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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere:We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when conducting product discovery, training and evaluating models, designing the product, delivering the experience, and ensuring successful GTM and customer happiness.About the Code Role:AI is rapidly changing how software is developed, but many enterprises have been unable to adopt these powerful new tools due to strict security, privacy, and compliance requirements. Cohere is uniquely positioned to bridge this gap by building enterprise-ready AI for developers.This is a foundational, 0-to-1 product management role focused on defining and building Cohere's code generation product suite from the ground up. The focus of this PM will be to discover and deliver the most valuable coding products for our enterprise customers, leveraging Cohere’s state-of-the-art models and our trusted position in the market. The expectation is that you have a deep passion for developer tools, a strong understanding of the AI landscape, and experience navigating the needs of enterprise customers.This role will be responsible for defining and building:The overall product strategy and roadmap for Code at Cohere.The end-to-end user experience for developers, including potential form factors like chat interfaces, IDE plugins, and CLIs.The go-to-market motion required for successful enterprise adoption, in partnership with sales and marketing.The feedback loop that guides our research team in building the next generation of code models.In this role, you will:Define strategic priorities and the product roadmap for Code at Cohere, focusing on enterprise needs and emerging AI capabilities.Use deep customer engagement and data to understand developer workflows, identify high-value use cases, and guide product development.Collaborate with a wide range of stakeholders, including teams in research, engineering, design, product, finance, go-to-market, and marketing.Drive product strategy through a deep understanding of the dynamic and competitive AI landscape for developer tools.Partner closely with our world-class research team to ensure our code models remain state-of-the-art and are tailored to solve enterprise challenges.You're likely a good fit if you have:Product Management Experience: A demonstrated track record in product management (4+ years) of shipping developer-focused or AI-powered products from concept to launchDeveloper-First Mindset: A genuine passion for and deep understanding of developer workflows, developer experience (DX), and the rapidly evolving AI coding assistant landscapeTechnical Collaboration: The technical depth to collaborate effectively with world-class research and engineering teams, whether from a formal CS background or equivalent hands-on experience in software developmentAI/ML Knowledge: Hands-on experience with LLMs or code generation technologies, and a clear vision for the future of AI in software developmentCross-Functional Leadership: Experience leading and unifying cross-functional teams (research, engineering, design, sales, marketing) around a compelling product vision and roadmapCommunication Excellence: Exceptional communication and execution skills, with the ability to translate complex technical concepts into clear business outcomes and inspire teams to deliverIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.
Product Manager
Product & Operations
Technical Product Manager
Product & Operations
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Machine Learning Engineer - Defence

Faculty
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GB.svg
United Kingdom
Full-time
Remote
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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Machine Learning Engineer
Data Science & Analytics
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